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Data were collected using TOMST thermologgers placed in trees with nest-boxes managed by the Edward Grey Institute of Field Ornithology (University of Oxford). In addition to the temperature values, the dataset contains information about the location of the thermologgers, the timestamps, and a value per logger to correct for the consistent deviations of each logger.\n\nThis data was collected under the project Understanding Within- and Between-Population Variation in Responses to Climate Variability and Extreme Climatic Events, supported by the Natural Environment Research Council (Grant NE/X000184/1). The overarching aim of the project was to study the effects of intra- and inter-annual temperature variability on great tit Parus major fitness. To do this, the project aims to combine the data obtained from the thermologgers at a fine temporal and spatial resolution with long-term life-history data of the great tit population of Wytham Woods.","documentType":"GEMINI_DOCUMENT","familyName":["López-Idiáquez","Sheldon"],"fullName":["López-Idiáquez, D.","Sheldon, B.C.","David López-Idiáquez"],"funder":["Natural Environment Research Council"],"givenName":["David","Ben C"],"grant":["NE/X000184/1"],"identifier":"d5be8de8-66e3-4e35-af79-7bb3789849ba","incomingCitationCount":0,"keyword":["Climate and climate change","air temperature","microclimate","mixed woodland","thermologger"],"keywordsOther":["air temperature","microclimate","mixed woodland","thermologger"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"This dataset contains information of 786 thermologgers (TOMST) placed across Wytham Woods between April 2023 and June 2025. Data was collected every 15 minutes.\n\nData was extracted from the loggers on a yearly basis using the software provided by the logger manufacturer. Data transformation consisted of collating the datasets for each logger each year into a single dataset. Data were transformed in two ways. First, readings from broken or damaged loggers were removed and now appear as NA in the dataset. Second, in some cases (0.26% of the total observations), one temperature reading in a logger was repeated several times (e.g. two observations for logger B1 on 21/12/2023 12:15:00). In cases where these repetitions represented the same temperature value (0.16% of the total), one observation in the dataset was retained. In cases where these repetitions included different values, the modal value was retained. This is described by true_value in the dataset.","locations":["POLYGON((-1.352 51.751, -1.352 51.784, -1.292 51.784, -1.292 51.751, -1.352 51.751))"],"metadataDate":"2026-07-25T14:20:09.000Z","orcid":["0000-0001-9568-4852","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d5be8de8-66e3-4e35-af79-7bb3789849ba","10.5285/d5be8de8-66e3-4e35-af79-7bb3789849ba","doi:10.5285/d5be8de8-66e3-4e35-af79-7bb3789849ba"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains air temperature information from 786 points in Wytham Woods (Oxfordshire; Latitude: 51.7773, Longitude: -1.3385) between April 2023 and June 2025, collected every 15 minutes (~60 million temperature reads). Data were collected using TOMST thermologgers…","state":"published","title":"Fine temporal and spatial scale air temperature dataset of Wytham Woods, UK, 2023-2025","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morrison","Evans"],"authorFullName":["Morrison, R.","Evans, J.G."],"authorGivenName":["R.","J.G."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains time series observations of turbulent surface-atmosphere exchanges of sensible heat (H) and momentum (τ) measured at an area of ancient broadleaved deciduous forest in Oxfordshire, UK (Wytham Woods). Turbulent flux densities were monitored from the top of a forest tower using the micrometeorological eddy covariance (EC) technique between 2014-06-13 13:00 and 2016-01-04 22:00. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Data were collected by staff from the Centre for Ecology & Hydrology, Wallingford.","documentType":"GEMINI_DOCUMENT","familyName":["Morrison","Evans"],"fullName":["Morrison, R.","Evans, J.G."],"funder":["Natural Environment Research Council"],"givenName":["R.","J.G.","Ross"],"identifier":"9b9ae2fe-e545-4209-b35f-e2ef6231dfe6","incomingCitationCount":0,"keyword":["Flux tower","Wytham Woods","Oxfordshire","Environmental survey","Climate and climate change","Sensible heat","Momentum","Soil physics","Atmospheric turbulence ","Ancient broadleaved deciduous forest ","weather","soil","deciduous forest"],"keywordsInstrument":["Flux tower"],"keywordsOther":["Sensible heat","Momentum","Soil physics","Atmospheric turbulence ","Ancient broadleaved deciduous forest ","weather","soil","deciduous forest"],"keywordsPlace":["Wytham Woods","Oxfordshire"],"keywordsTheme":["Environmental survey","Climate and climate change"],"licence":"Open government licence","lineage":"Data were collected by staff from the Centre for Ecology & Hydrology, Wallingford from the top of a forest tower using the micrometeorological eddy covariance (EC) technique at Wytham Woods, Oxfordshire.  For further details, see the supporting document downloadable from this record.","locations":["POLYGON((-1.348 51.758, -1.348 51.785, -1.301 51.785, -1.301 51.758, -1.348 51.758))"],"metadataDate":"2026-07-25T10:22:41.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b9ae2fe-e545-4209-b35f-e2ef6231dfe6","10.5285/9b9ae2fe-e545-4209-b35f-e2ef6231dfe6","doi:10.5285/9b9ae2fe-e545-4209-b35f-e2ef6231dfe6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains time series observations of turbulent surface-atmosphere exchanges of sensible heat (H) and momentum (τ) measured at an area of ancient broadleaved deciduous forest in Oxfordshire, UK (Wytham Woods). Turbulent flux densities were monitored from…","state":"published","supplementalDescription":["Information about the cosmic-ray soil moisture monitoring network (COSMOS), a long-term network of soil moisture monitoring stations for the United Kingdom, established by the Centre for Ecology & Hydrology."],"supplementalName":["COSMOS "],"title":"Turbulent fluxes of sensible heat and momentum at an ancient deciduous broadleaved forest in southern England","topic":["0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Jackson"],"authorFullName":["Jackson, T."],"authorGivenName":["T."],"authorOrcid":["0000-0001-8143-6161"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This data contains the strain and wind data collected for 21 trees in Wytham Woods, a mature temperate woodland in southern England, from September 2015 to June 2016. This data was collected in order to (a) extract the resonant frequencies of trees, (b) to estimate the critical wind speeds at which the trees would break and (c) to test a finite element model of tree-wind dynamics. \n\nThe strain data was collected at 4Hz using two strain gauges per tree attached at 1.3metres on the trunk and approximately perpendicular to each other. The wind data provided were collected from the canopy walkway in Wytham Woods using a cup anemometer (Vector Instruments A100LK/5M) in winter and a Gill Sonic-1 in summer, the time resolution varies between these instruments. Local climate data, including long term wind data, are available from the Environmental Change Network (https://doi.org/10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5 or data.ecn.ac.uk).","documentType":"GEMINI_DOCUMENT","familyName":["Jackson"],"fullName":["Jackson, T."],"funder":["Natural Environment Research Council"],"givenName":["T.","Toby"],"identifier":"533d87d3-48c1-4c6e-9f2f-fda273ab45bc","incomingCitationCount":3,"keyword":["Wytham Woods","strain","wind damage","resonant frequency","biomechanics","forest","tree"],"keywordsOther":["strain","wind damage","resonant frequency","biomechanics","forest","tree"],"keywordsPlace":["Wytham Woods"],"licence":"Open government licence","lineage":"This data set consists of strain measurements for 21 trees in Wytham Woods, Oxfordshire. This data can be used to estimate the characteristic swaying behaviour of trees in the wind and to characterize the wind-strain relationship. Pairs of strain gauges were attached (approximately perpendicular to each other) to the tree trunks at 1.3m height and readings were logged at 4Hz. The data provided has been calibrated, as described in the readme file. Please contact the author (tobydjackson@gmail.com) for the raw data files. Data processing scripts can be downloaded from (https://github.com/TobyDJackson/WindAndTrees_Wytham). Wind data, measured within the canopy, is also provided.","locations":["POLYGON((-1.35 51.76, -1.35 51.78, -1.32 51.78, -1.32 51.76, -1.35 51.76))"],"metadataDate":"2026-07-24T23:04:00.000Z","orcid":["0000-0001-8143-6161"],"organisation":["University of Oxford","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-02-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc","doi:10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc","https://catalogue.ceh.ac.uk/id/533d87d3-48c1-4c6e-9f2f-fda273ab45bc"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This data contains the strain and wind data collected for 21 trees in Wytham Woods, a mature temperate woodland in southern England, from September 2015 to June 2016. This data was collected in order to (a) extract the resonant frequencies of trees, (b) to estimate…","state":"published","title":"Strain measurements on 21 trees in Wytham Woods, UK","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["López-Idiáquez","Sheldon"],"authorFullName":["López-Idiáquez, D.","Sheldon, B.C."],"authorGivenName":["David","Ben C"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains vegetation and canopy cover data from 780 locations across Wytham Woods (Oxfordshire). It has information on up to the four most common herbaceous plant species (42 sp. identified in total) present at 17 points per location, and canopy cover data at 9 points per location. The sampled area at each location is about 0.12 ha (circle of 20 m radius). Sampling took place in June and July 2023 by two fieldworkers. To control for the potential bias introduced by each of the measurers a subset of locations were repeated to compute the intra- and inter-observer repeatabilities being in both high for the canopy cover and species composition.   \n\nThis dataset results from the NERC project \"Understanding Within- and Between-Population Variation in Responses to Climate Variability and Extreme Climatic Events\" (Grant NE/X000184/1). The overarching aim of the project was to study the effects of intra- and inter-annual temperature variability, in relation to vegetation structure, on great tit (Parus major) fitness.","documentType":"GEMINI_DOCUMENT","familyName":["López-Idiáquez","Sheldon"],"fullName":["López-Idiáquez, D.","Sheldon, B.C.","David López-Idiáquez"],"funder":["Natural Environment Research Council"],"givenName":["David","Ben C"],"grant":["NE/X000184/1"],"identifier":"371f7553-42db-4da0-a062-76b5526ecaa7","incomingCitationCount":0,"keyword":["Biodiversity","Wytham Woods","vegetation","vegetation cover","vegetation type"],"keywordsOther":["Wytham Woods","vegetation","vegetation cover","vegetation type"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Habitat data was sampled at the nest-box level (nest-box placed for birds to breed) and 780 boxes were sampled. Sampling consisted of 17 points in a circular grid arounds each nest box. The first point was located below a tree with a nest box available for the birds to breed, and the other 16 in two sets of 8 points surrounding the nest at 10 and 20 meters distance. The boxes for the birds cover the whole extension of Wytham as does our sampling. Sampling was conducted during the summer of 2023. Canopy cover was determined using a transparent grid with 100 squares and counting in which the sky could be seen. No other specific materials were used. The process of data cleaning and preparing the dataset consisted on removing duplicate locations (used for the repeatability) and standardising the names of the described plant species.","locations":["POLYGON((-1.351 51.754, -1.351 51.784, -1.294 51.784, -1.294 51.754, -1.351 51.754))"],"metadataDate":"2026-07-29T12:57:58.000Z","organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/371f7553-42db-4da0-a062-76b5526ecaa7","10.5285/371f7553-42db-4da0-a062-76b5526ecaa7","doi:10.5285/371f7553-42db-4da0-a062-76b5526ecaa7"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains vegetation and canopy cover data from 780 locations across Wytham Woods (Oxfordshire). It has information on up to the four most common herbaceous plant species (42 sp. identified in total) present at 17 points per location, and canopy cover data…","state":"published","title":"Fine scale understory vegetation structure dataset of Wytham Woods, UK, 2023","topic":["0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"availability":"Unknown","catalogue":"eidc","description":"The data were collected as part of a long-term population monitoring project on the breeding biology and behaviour of birds, and as part of a project on the ecology of behavioural contagion in natural systems. The dataset consists of bird ringing records, bird breeding records, and PIT-tag recordings of birds discovering novel food patches in relation to experimentally manipulated local population densities. Data collection took place in Wytham woods, Oxfordshire, UK in 2020 and 2021. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1).","documentType":"GEMINI_DOCUMENT","identifier":"2eb97d29-1ebd-41e5-8583-019d0513ce06","incomingCitationCount":0,"keyword":["Ornithology","population density","patch discovery","experiment","breeding biology"],"keywordsOther":["Ornithology","population density","patch discovery","experiment","breeding biology"],"licence":"Non-Open government licence","metadataDate":"2024-02-08T17:38:16.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2eb97d29-1ebd-41e5-8583-019d0513ce06"],"resourceType":"Aggregation","shortenedDescription":"The data were collected as part of a long-term population monitoring project on the breeding biology and behaviour of birds, and as part of a project on the ecology of behavioural contagion in natural systems. The dataset consists of bird ringing records, bird breeding…","state":"published","title":"Bird breeding records and data from an experimental manipulation of local population density in Wytham Woods, UK, 2020-2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"authorFullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"authorGivenName":["K.B.","J.A.","K.","S.","E.F.","B."],"authorOrcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the following: nest building, identity of breeding pairs, date when the first egg is laid, number of eggs, hatch date and the number and condition of fledglings for great tits, blue tits, marsh tits and coal tits. The data presented were collected in Wytham Woods, Oxfordshire, UK during April and June in 2020 and 2021 by Keith McMahon, Sam Croft and Kristina Beck, as part of a long-term nestbox project on the breeding biology of birds. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1), The ecology of behavioural contagion in natural systems.","documentType":"GEMINI_DOCUMENT","familyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"fullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"funder":["Natural Environment Research Council"],"givenName":["K.B.","J.A.","K.","S.","E.F.","B."],"grant":["NE/S010335/1"],"identifier":"ae6f821a-35a1-4a37-af4d-ca7cb1c83a10","incomingCitationCount":0,"keyword":["Animal behaviour","breeding","ornithology","great tit","blue tit","coal tit","marsh tit","Parus major","Parus palustris","Parus ater","Cyanistes caeruleus","bird"],"keywordsOther":["breeding","ornithology","great tit","blue tit","coal tit","marsh tit","Parus major","Parus palustris","Parus ater","Cyanistes caeruleus","bird"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"During April - June, all nestboxes were visited weekly to obtain records of nest building, the identity of the breeding pair, the date when the first egg is laid, the number of eggs, hatch date, and the number and condition of fledglings. These data were entered into our internal Edward Grey Institute (EGI) Bird data Management Project application (EBMP), where they underwent a number of quality checks. The data provided here were extracted from EBMP. In csv format for deposit into the EIDC.","locations":["POLYGON((-1.347 51.762, -1.347 51.781, -1.316 51.781, -1.316 51.762, -1.347 51.762))"],"metadataDate":"2026-07-25T13:23:44.000Z","orcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae6f821a-35a1-4a37-af4d-ca7cb1c83a10","10.5285/ae6f821a-35a1-4a37-af4d-ca7cb1c83a10","doi:10.5285/ae6f821a-35a1-4a37-af4d-ca7cb1c83a10"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the following: nest building, identity of breeding pairs, date when the first egg is laid, number of eggs, hatch date and the number and condition of fledglings for great tits, blue tits, marsh tits and coal tits. The data presented…","state":"published","title":"Bird breeding data for Wytham Woods, Oxfordshire, UK, 2020 and 2021","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"authorFullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"authorGivenName":["K.B.","J.A.","K.","S.","E.F.","B."],"authorOrcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about local population densities of great tits, blue tits, marsh tits and nuthatches from a manipulation experiment. The time, location and bird species were recorded using a Passive Integrated Transponder (PIT) tag attached to each bird and the information recorded using a Radio Frequency Identification (RFID) antenna within the feeder. Population density was manipulated by programming automated feeders to only open for a specific set of individuals (creating low- and high-density treatments). Local population densities were recorded using automated bird feeders at six experimental and two control sites prior to and during the manipulation. The experiment took place in Wytham Woods, Oxfordshire, UK between January and March 2021, as part of a study on the effects of ecological factors on social structure and information transmission. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1, The ecology of behavioural contagion in natural systems.)","documentType":"GEMINI_DOCUMENT","familyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"fullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"funder":["Natural Environment Research Council"],"givenName":["K.B.","J.A.","K.","S.","E.F.","B."],"grant":["NE/S010335/1"],"identifier":"1a4dcbb3-c4fb-4bd4-acb3-d03932de9323","incomingCitationCount":0,"keyword":["Animal behaviour","ornithology","population density"],"keywordsOther":["ornithology","population density"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Automated bird feeders were used to collect the described data. Each of the feeders had one access hole with a clear flap and an inbuilt Radio Frequency Identification (RFID) antenna within the perch. All birds equipped with a Passive Integrated Transponder (PIT) tag that landed on the perch got recorded, and the time and date of visits stored on a Secure Digital (SD) card. The flap can be programmed to open only for specified PIT tagged individuals. This allowed us to manipulate local densities by specifically restricting access to each feeder. Feeders were visited every two to three days, to refill food, check feeder performance and collect data. For the final dataset, erroneous recordings (e.g. entries with a wrong date or tag number) were removed. Data are provided as comma separated value files for deposit into the EIDC.   ","locations":["POLYGON((-1.349 51.759, -1.349 51.785, -1.317 51.785, -1.317 51.759, -1.349 51.759))"],"metadataDate":"2026-07-24T19:15:04.000Z","orcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323","10.5285/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323","doi:10.5285/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about local population densities of great tits, blue tits, marsh tits and nuthatches from a manipulation experiment. The time, location and bird species were recorded using a Passive Integrated Transponder (PIT) tag attached to each…","state":"published","title":"Local population density of woodland birds from a manipulation experiment in Wytham Woods, Oxfordshire, UK 2021","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"authorFullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"authorGivenName":["K.B.","J.A.","K.","S.","E.F.","B."],"authorOrcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about the recordings of great tits, blue tits, marsh tits and nuthatches discovering novel food patches in relation to manipulated local population densities (see 1a4dcbb3-c4fb-4bd4-acb3-d03932de9323). Prior to and during the density manipulation experiment, novel feeders were placed at random locations and the discovery of these was recorded using a Passive Integrated Transponder (PIT) tag attached to each bird and the information recorded using a Radio Frequency Identification (RFID) antenna within the feeder. The experiment took place in Wytham Woods, Oxfordshire, UK between January and March 2021, as part of a study on the effects of ecological factors on social structure and information transmission. Data collection was performed by Keith McMahon, Sam Croft and Kristina Beck. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1), The ecology of behavioural contagion in natural systems. ","documentType":"GEMINI_DOCUMENT","familyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"fullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"funder":["Natural Environment Research Council"],"givenName":["K.B.","J.A.","K.","S.","E.F.","B."],"grant":["NE/S010335/1"],"identifier":"e250ae89-2e1f-4664-9092-5a8593d50fdf","incomingCitationCount":0,"keyword":["Animal behaviour","ornithology","experiment","patch discovery"],"keywordsOther":["ornithology","experiment","patch discovery"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Automated bird feeders were used to collect the described data. Each of the feeders had one access hole with a clear flap and an inbuilt Radio Frequency Identification (RFID) antenna within the perch. All birds equipped with a Passive Integrated Transponder (PIT) tag that landed on the perch were recorded, and the time and date of visits stored on a secure digital (SD) card. Feeders were visited every two to three days, to refill food, check feeder performance and collect data. For the final dataset, erroneous recordings (e.g. entries with a wrong date or tag number) were removed. Data are provided as comma separated value file for deposit into the EIDC.","locations":["POLYGON((-1.347 51.762, -1.347 51.781, -1.316 51.781, -1.316 51.762, -1.347 51.762))"],"metadataDate":"2026-07-25T14:47:51.000Z","orcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e250ae89-2e1f-4664-9092-5a8593d50fdf","10.5285/e250ae89-2e1f-4664-9092-5a8593d50fdf","doi:10.5285/e250ae89-2e1f-4664-9092-5a8593d50fdf"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about the recordings of great tits, blue tits, marsh tits and nuthatches discovering novel food patches in relation to manipulated local population densities (see 1a4dcbb3-c4fb-4bd4-acb3-d03932de9323). Prior to and during the density…","state":"published","title":"Recordings of the discovery of novel food patches in common woodland birds in Wytham Woods, Oxfordshire, UK 2021","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"authorFullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"authorGivenName":["K.B.","J.A.","K.","S.","E.F.","B."],"authorOrcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about the ringing records of mainly great tits, blue tits, marsh tits and coal tits, and a few other bird species. The data were collected in Wytham woods, Oxfordshire, UK during 2020 and 2021, as part of a long-term population monitoring project on the breeding biology and behaviour of birds. ","documentType":"GEMINI_DOCUMENT","familyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"fullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"funder":["Natural Environment Research Council"],"givenName":["K.B.","J.A.","K.","S.","E.F.","B."],"grant":["NE/S010335/1"],"identifier":"af4c9b5a-fba9-4133-b782-2a2cbc927280","incomingCitationCount":0,"keyword":["Ringing records","ornithology","ringing (wildlife)"],"keywordsOther":["Ringing records","ornithology","ringing (wildlife)"],"licence":"Open government licence","lineage":"During April - June, all unringed breeding pairs were trapped at the nest and fitted with a British Trust for Ornithology (BTO) metal leg ring. Great tits and blue tits were additionally fitted with a plastic leg ring containing a RFID tag (IB Technologies, UK). All nestlings were also fitted with these tags at 2 weeks old. Additional ringing was carried out throughout the autumn and winter across the woodland. Birds were trapped using mistnets; biometrics (mass, wing length, tarsus length, fats score) were recorded for all birds and immigrants to the population were fitted with tags. All birds were released after they were processed. These data were entered into our internal Edward Grey Institute (EGI) Bird data Management Project application (EBMP), where they underwent a number of quality checks.","locations":["POLYGON((-1.356 51.751, -1.356 51.784, -1.293 51.784, -1.293 51.751, -1.356 51.751))"],"metadataDate":"2026-07-25T13:24:30.000Z","orcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af4c9b5a-fba9-4133-b782-2a2cbc927280","10.5285/af4c9b5a-fba9-4133-b782-2a2cbc927280","doi:10.5285/af4c9b5a-fba9-4133-b782-2a2cbc927280"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about the ringing records of mainly great tits, blue tits, marsh tits and coal tits, and a few other bird species. The data were collected in Wytham woods, Oxfordshire, UK during 2020 and 2021, as part of a long-term population monitoring…","state":"published","title":"Bird ringing records from Wytham Woods, Oxfordshire, UK during 2020 and 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Department of Zoology","University College Dublin","University of Liège"],"authorFamilyName":["Raulo","Firth","Coulson","Knowles","Lamberth","English","Quicray","Dale"],"authorFullName":["Raulo, A.","Firth, J.","Coulson, T.","Knowles, S.C.L.","Lamberth, C.","English, H.","Quicray, M.","Dale, J."],"authorGivenName":["A.","J.","T.","S.C.L.","C.","H.","M."],"authorOrcid":["0000-0003-4860-7840","0000-0001-7183-4115","0000-0001-9371-9003","0000-0002-2368-4623","0000-0002-2851-7146","0000-0002-8854-6707","0000-0002-9657-0627","0000-0003-2853-7152"],"authorRor":["https://ror.org/052gg0110","https://ror.org/05m7pjf47","https://ror.org/00afp2z80"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)",".rds"],"description":"This data set is a combination of trapping data, tracking data, vegetation/habitat data and data on the gut microbiome composition of wild rodents caught in 4 ha study site in Holly Hill in Wytham Woods, Oxford, UK, from November 2018 to November 2019. Three species of rodents were trapped with Sherman live-traps fortnightly for 12 months: wood mouse (Apodemus sylvaticus), yellow-necked mouse (Apodemus flavicollis) and bank vole (Myodes glareolus). Upon capture, they were measured, weighted, sexed, aged and a faecal sample was collected from all rodent individuals for microbiome analyses. All rodents were released to their location of capture. \n\nFirst time each individual was captured, they were injected with a permanent subcutaneous Radio-Frequency Identification(RFID)-tag (Passive Integrated Transponder-tag). The tagged rodents were subsequently tracked from February to November 2019 with a set of 120 custom-made tracking devices (loggers). Loggers recorded to time-stamped presence of any tagged individual that passed near it, producing occurrence data suitable for inferring spatiotemporal activity patterns of rodents, such as temporal niches, home ranges and social networks. Bacterial DNA extracted from faecal samples were used to profile their gut microbiome composition.\n\nThe study area was surveyed for vegetation and microhabitat variation by gathering habitat data of each 10 x 10 m grid square across the 4 ha plot. Data included list of plant species (visible in late May), coverage by the main ground cover types, canopy openness and amount of dead wood in each grid square. \n\nThis work was funded by a NC3Rs Fellowship to Sarah Knowles, and NERC independent Research Fellowship to Sarah Knowles (NE/L011867/1)","documentType":"GEMINI_DOCUMENT","familyName":["Raulo","Firth","Coulson","Knowles","Lamberth","English","Quicray","Dale"],"fullName":["Raulo, A.","Firth, J.","Coulson, T.","Knowles, S.C.L.","Lamberth, C.","English, H.","Quicray, M.","Dale, J."],"funder":["Natural Environment Research Council"],"givenName":["A.","J.","T.","S.C.L.","C.","H.","M."],"grant":["NE/L011867/1"],"identifier":"043513e5-406c-4477-89aa-c96059acb232","incomingCitationCount":0,"keyword":["Microbiome","microbiota","transmission","gut microbiome","trapping","Sherman","wild mouse","wood mouse","bank vole","yellow-necked mouse","RFID-tracking","social network analysis","home range analysis","vegetation survey","microhabitat","Apodemus sylvaticus","Apodemus flavicollis","Myodes glareolus","survey","animal biology","animal ecology"],"keywordsOther":["Microbiome","microbiota","transmission","gut microbiome","trapping","Sherman","wild mouse","wood mouse","bank vole","yellow-necked mouse","RFID-tracking","social network analysis","home range analysis","vegetation survey","microhabitat","Apodemus sylvaticus","Apodemus flavicollis","Myodes glareolus","survey","animal biology","animal ecology"],"licence":"Open government licence","lineage":"Wild rodents were trapped fortnightly, tagged and continuously monitored with tracking technology for 10 months. This is a natural rodent population and no experimental manipulations were made. Upon capture, faecal samples were collected from the rodents. Faecal samples were stored without buffer in -80 C. In winter 2019-2020 DNA was extracted from the faecal samples of wood mice, yellow-necked mice and bank voles, and their gut microbiome was characterised from this by amplification and sequencing of the V4-V5 region of bacterial 16S rRNA marker gene. In May 2020 the study area was surveyed for vegetation and microhabitat variation. Details of the data generation and the cleaning process can be found from the supporting documentation.","locations":["POLYGON((-1.355 51.752, -1.355 51.784, -1.295 51.784, -1.295 51.752, -1.355 51.752))"],"metadataDate":"2026-07-24T18:54:25.000Z","orcid":["0000-0003-4860-7840","0000-0001-7183-4115","0000-0001-9371-9003","0000-0002-2368-4623","0000-0002-2851-7146","0000-0002-8854-6707","0000-0002-9657-0627","0000-0003-2853-7152"],"organisation":["Department of Zoology","University College Dublin","University of Liège","NERC EDS Environmental Information Data Centre","University of Oxford"],"publicationDate":"2023-11-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/043513e5-406c-4477-89aa-c96059acb232","10.5285/043513e5-406c-4477-89aa-c96059acb232","doi:10.5285/043513e5-406c-4477-89aa-c96059acb232"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/05m7pjf47","https://ror.org/00afp2z80","https://ror.org/04xw4m193"],"shortenedDescription":"This data set is a combination of trapping data, tracking data, vegetation/habitat data and data on the gut microbiome composition of wild rodents caught in 4 ha study site in Holly Hill in Wytham Woods, Oxford, UK, from November 2018 to November 2019. Three species…","state":"published","supplementalName":["Raulo, A. (2021). Transmission ecology of the gut microbiota in wild mice (Doctoral dissertation, University of Oxford)"],"title":"Wild rodent tracking and gut microbiome data, Holly Hill, Wytham Woods, UK, 2018-2019","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Dahlsjö","Malhi","Bailey"],"authorFullName":["Dahlsjö, C.A.L.","Malhi, Y.","Bailey, A."],"authorGivenName":["Cecilia A. L.","Yadvinder","Andrew"],"authorOrcid":["0000-0003-3795-1523"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022.  Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots across Wytham Woods, near Oxford in southern England, to measure the accumulation of carbon (MgC/ha/year) among tree species and size classes from three experimental plot types (15 plots in total, five plots per type). The plot types include ash dominated (AD), ash dominated where ash trees have been girdled (ADG), and non-ash dominated (NAD) plots. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the growth rates, and carbon accumulation, among habitats with varying levels of ash dieback represented by different treatments.","documentType":"GEMINI_DOCUMENT","familyName":["Dahlsjö","Malhi","Bailey"],"fullName":["Dahlsjö, C.A.L.","Malhi, Y.","Bailey, A.","Cecilia Dahlsjö"],"funder":["Natural Environment Research Council"],"givenName":["Cecilia A. L.","Yadvinder","Andrew"],"grant":["NE/T007648/1"],"identifier":"fc00dbd0-bf3d-495e-9895-190919f8e5e8","incomingCitationCount":0,"keyword":["Environmental survey","deciduous forest","forest ecology","pathogen","carbon cycle"],"keywordsOther":["deciduous forest","forest ecology","pathogen","carbon cycle"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Tree censuses were conducted in November 2020, September 2021, and September 2022. A diameter band was used to record the diameter at breast height of all trees (>1cm diameter) in each plot. Growth values were calculated by subtracting the diameter from one year by the diameter from the previous year.  Stems that grew or shrank by 10 cm or more were removed due to suspected sampling error.  Data within size classes and species that were outside 3 standard deviations of the mean were also removed as they were classed as outliers that may have been affected by sampling error. The growth was then converted to biomass growth using allometric equations as outlined in Dahlsjo and Malhi (2024) and then converted to carbon assuming that the stems contained 49% carbon. Due to the high risk of sampling error we have  produced a relatively conservative dataset of carbon accumulation from plots with varying levels of ash dieback. Limitations include a small number (5) of plots per treatment. Data were converted from Excel into csv.","locations":["POLYGON((-1.357 51.755, -1.357 51.788, -1.299 51.788, -1.299 51.755, -1.357 51.755))"],"metadataDate":"2026-07-25T18:10:37.000Z","orcid":["0000-0003-3795-1523"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fc00dbd0-bf3d-495e-9895-190919f8e5e8","10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8","doi:10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022.  Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots…","state":"published","supplementalDescription":["Cecilia A.L. Dahlsjö, Yadvinder Malhi, 2024, Unravelling a hidden synergy: How pathogen-climate interactions transform habitat hydrology and affect tree growth, Science of The Total Environment, Volume 954, 176325, ISSN 0048-9697"],"title":"Tree carbon accumulation among habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2021-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Oxford","Rutgers, The State University of New Jersey","Senckenberg Biodiversity and Climate Research Centre"],"authorFamilyName":["Barraclough","Sant","Wong"],"authorFullName":["Barraclough, T.G.","Sant, D.G.","Wong, E.L.Y."],"authorGivenName":["T.G.","D.G.","E.L.Y"],"authorOrcid":["0000-0002-8084-2640","0000-0001-6865-3161"],"authorRor":["https://ror.org/052gg0110","https://ror.org/05vt9qd57","https://ror.org/01amp2a31"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprises both compositional data and growth assay data from an experiment of wild bacterial communities in Wytham Woods, Oxford. The communities live in puddles of water in tree-holes formed by the roots of beech trees. We manipulated the pH of tree-holes during the experiment for comparison with control tree-holes that were unmanipulated. Compositional data comprises the frequency of different Amplicon Sequencing Variants and derived measures of species diversity for samples taken over time (up to 12 weeks from the start of the experiment). The growth assay data comprises measurements of growth rates of community samples and isolates back in the laboratory, when grown on beech tea media manipulated to have different pHs. ","documentType":"GEMINI_DOCUMENT","familyName":["Barraclough","Sant","Wong"],"fullName":["Barraclough, T.G.","Sant, D.G.","Wong, E.L.Y.","Timothy Giles Barraclough"],"funder":["Natural Environment Research Council"],"givenName":["T.G.","D.G.","E.L.Y"],"grant":["NE/V011596/1"],"identifier":"9d64f2bd-2918-416f-b08c-3369edbc1b30","incomingCitationCount":0,"keyword":["Biodiversity","Evolutionary ecology","bacterium","evolution","ecological community","field study","field experiment","microbiology","pH","deciduous tree"],"keywordsOther":["bacterium","evolution","ecological community","field study","field experiment","microbiology","pH","deciduous tree"],"keywordsTheme":["Biodiversity","Evolutionary ecology"],"licence":"Open government licence","lineage":"A field experiment was conducted in summer 2021 that surveyed bacterial communities in tree-hole puddles formed by beech tree roots at Wytham Woods, Oxford. The experiment added lime (alkali) to a set of tree-holes and compared changes in bacterial communities to control tree-holes without liming. Samples were collected before and after the manipulation, and some of these were used for growth assays in the laboratory: growing different combinations of isolates and communities on beech tea medium with modified pH. ","locations":["POLYGON((-1.342 51.757, -1.342 51.778, -1.304 51.778, -1.304 51.757, -1.342 51.757))"],"metadataDate":"2026-07-25T10:23:41.000Z","orcid":["0000-0002-8084-2640","0000-0001-6865-3161"],"organisation":["University of Oxford","Rutgers, The State University of New Jersey","Senckenberg Biodiversity and Climate Research Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9d64f2bd-2918-416f-b08c-3369edbc1b30","10.5285/9d64f2bd-2918-416f-b08c-3369edbc1b30","doi:10.5285/9d64f2bd-2918-416f-b08c-3369edbc1b30"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/05vt9qd57","https://ror.org/01amp2a31","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprises both compositional data and growth assay data from an experiment of wild bacterial communities in Wytham Woods, Oxford. The communities live in puddles of water in tree-holes formed by the roots of beech trees. We manipulated the pH of tree-holes…","state":"published","title":"Compositional and growth assay data for tree-hole bacteria communities under differing pH conditions, sampled summer 2021, Wytham Woods, Oxford","topic":["0/Biodiversity/","0/Evolutionary ecology/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Dahlsjö","Malhi"],"authorFullName":["Dahlsjö, C.A.L.","Malhi, Y."],"authorGivenName":["Cecilia A. L.","Yadvinder"],"authorOrcid":["0000-0003-3795-1523"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data include daily soil temperature, ground temperature, and ambient temperature in Celsius and soil volumetric moisture in percent between 2019 and 2022, collected from 15 plots across Wytham Woods, near Oxford in southern England. These cover three different habitat types representing different levels of ash dieback: ash dominated and girdled, ash dominated, and non-ash dominated. Soil and ground microclimate (temperature and volumetric moisture) were recorded at 15-minute intervals, and averaged to daily resolution. The data contributed to a project on the ecological impact of ash dieback.","documentType":"GEMINI_DOCUMENT","familyName":["Dahlsjö","Malhi"],"fullName":["Dahlsjö, C.A.L.","Malhi, Y.","Cecilia Dahlsjö"],"funder":["Natural Environment Research Council"],"givenName":["Cecilia A. L.","Yadvinder"],"grant":["NE/T007648/1"],"identifier":"f1fd1790-0cc0-45ea-8dda-8258d23e88b1","incomingCitationCount":0,"keyword":["Environmental survey","microclimate","ash dieback","soil moisture","soil and ground temperature","deciduous forest"],"keywordsOther":["microclimate","ash dieback","soil moisture","soil and ground temperature","deciduous forest"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Soil and ground microclimate (temperature and volumetric moisture) were recorded at 15-minute intervals between 2019 - 2022 using five TOMST TMS-4 loggers in each plot. The raw soil moisture counts were converted to volumetric moisture (%) using conversion factors provided by TOMST based on soil type (a link to the conversion pdf is provided). All data were averaged to the hour and then averaged again to the day. This provided daily temperature and moisture means which are reported here. \n\nThe temperatures are provided in Celsius and moisture in water content per unit volume in percent. \n\nLimitations include logger breakage which sometimes limited the data available from each plot. Therefore, not all plots have consistent data from five intact loggers. The raw moisture count conversion is dependent on soil type. We analysed the soil's physical composition in each plot and used the model that most closely aligned with our site. Errors associated with model performance is likely to have over- or underestimated the values, however, overall, the high volume of data provides a robust understanding of hydrology across the plots.","locations":["POLYGON((-1.353 51.753, -1.353 51.787, -1.301 51.787, -1.301 51.753, -1.353 51.753))"],"metadataDate":"2026-07-25T18:05:21.000Z","orcid":["0000-0003-3795-1523"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f1fd1790-0cc0-45ea-8dda-8258d23e88b1","10.5285/f1fd1790-0cc0-45ea-8dda-8258d23e88b1","doi:10.5285/f1fd1790-0cc0-45ea-8dda-8258d23e88b1"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"The data include daily soil temperature, ground temperature, and ambient temperature in Celsius and soil volumetric moisture in percent between 2019 and 2022, collected from 15 plots across Wytham Woods, near Oxford in southern England. These cover three different habitat…","state":"published","title":"Soil and ground-level microclimate data among habitats representing different levels of ash dieback in Wytham Woods, Oxfordshire, UK, 2019-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Dahlsjö","Malhi"],"authorFullName":["Dahlsjö, C.A.L.","Malhi, Y."],"authorGivenName":["C.A.L.","Y."],"authorOrcid":["0000-0003-3795-1523"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"All data were collected in 15 plots across Wytham Woods, near Oxford in southern England. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the differences between habitats with varying levels of ash dieback represented by different treatments as outlined in the metadata. \nGround flora species and percentage cover collected in May between 2021–2024. \nMonthly (bi-weekly in autumn) fine litter fall data separated into categories of e.g. twigs, leaves, seeds, etc. Dry weights are available for each category along with days between sampling occasions and litter fall trap size. Data available between 2020–2024. \nLeaf litter feeding invertebrate data collected on four occasions between September–November 2022. Invertebrate wet weights are available from replicated soil pits and quadrats across 15 plots enabling both spatial and temporal analyses. \n","documentType":"GEMINI_DOCUMENT","familyName":["Dahlsjö","Malhi"],"fullName":["Dahlsjö, C.A.L.","Malhi, Y."],"funder":["Natural Environment Research Council"],"givenName":["C.A.L.","Y."],"grant":["NE/T007648/1"],"identifier":"2dbbe33b-582b-434e-92f6-9c7786a37ce9","incomingCitationCount":0,"keyword":["Biodiversity","invertebrates","ash dieback","ground flora","fine litter fall"],"keywordsOther":["invertebrates","ash dieback","ground flora","fine litter fall"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The data have gone through minimal processing. The raw data are available alongside comments and meta data for data cleaning purposes. \nGround flora data were generated through species identifications and estimates of percentage cover in nine quadrats (1m x 1m) in each plot. \nFine litter fall data were generated by identifying, drying, and weighing different litter categories. \nLeaf litter feeding invertebrate data were generated by identifying and weighing each individual in the lab following extraction from soil pits or litter quadrats. \n","locations":["POLYGON((-1.359 51.754, -1.359 51.787, -1.294 51.787, -1.294 51.754, -1.359 51.754))"],"metadataDate":"2026-07-24T19:33:31.000Z","orcid":["0000-0003-3795-1523"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2dbbe33b-582b-434e-92f6-9c7786a37ce9","10.5285/2dbbe33b-582b-434e-92f6-9c7786a37ce9","doi:10.5285/2dbbe33b-582b-434e-92f6-9c7786a37ce9"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"All data were collected in 15 plots across Wytham Woods, near Oxford in southern England. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the differences between habitats with varying levels of ash dieback represented…","state":"published","title":"Woodland ground flora, fine litter fall, and leaf litter feeding invertebrate data from habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2020-2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SQLite"],"description":"This is a polygon (land parcel) dataset describing the entire land surface of GB in 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. \n\nEach land parcel contains attributes which include the land cover type and classification confidence.\n\nFull details of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation which accompanies this data.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"givenName":["R.D.","C.G.","A.W.","C.S."],"identifier":"0e99d57e-1757-451f-ac9d-92fd1256f02a","incomingCitationCount":6,"keyword":["Land cover","Mapping","Vector","LCM2020","UK BAP Broad Habitats","Broadleaved woodland","Coniferous woodland","Arable and Horticulture","Improved grassland","Neutral Grassland","Calcareous Grassland","Acid Grassland","Fen, Marsh and Swamp","Heather","Urban","Inland Rock","Supralittoral Rock","Supralittoral Sediment","Littoral Rock","Littoral Sediment","Heather grassland","Suburban","bog","salt marsh","urban area","grassland","littoral","salt water","freshwater","coniferous forest","deciduous wood","land cover","habitat"],"keywordsOther":["Vector","LCM2020","UK BAP Broad Habitats","Broadleaved woodland","Coniferous woodland","Arable and Horticulture","Improved grassland","Neutral Grassland","Calcareous Grassland","Acid Grassland","Fen, Marsh and Swamp","Heather","Urban","Inland Rock","Supralittoral Rock","Supralittoral Sediment","Littoral Rock","Littoral Sediment","Heather grassland","Suburban","bog","salt marsh","urban area","grassland","littoral","salt water","freshwater","coniferous forest","deciduous wood","land cover","habitat"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover classification algorithms generated 10m classified pixels.  For this, training data were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify 10m resolution composite images representing per season median surface reflectance. Seasonal composite images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce classification confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10m pixel classification into a land parcel spatial framework). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:03:06.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0e99d57e-1757-451f-ac9d-92fd1256f02a","10.5285/0e99d57e-1757-451f-ac9d-92fd1256f02a","doi:10.5285/0e99d57e-1757-451f-ac9d-92fd1256f02a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a polygon (land parcel) dataset describing the entire land surface of GB in 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. \n\nEach land parcel contains attributes which include the land cover type and classification confidence.\n\nFull…","state":"published","title":"Land Cover Map 2020 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Scholefield","Morton","Rowland","Henrys","Howard","Norton"],"authorFullName":["Scholefield, P.A.","Morton, R.D.","Rowland, C.S.","Henrys, P.A.","Howard, D.C.","Norton, L.R."],"authorGivenName":["P.A.","R.D.","C.S.","D.C.","L.R."],"authorOrcid":["0000-0003-2974-6431","0000-0003-3947-6463","0000-0002-0459-506X","0000-0003-4758-1482","0000-0003-4494-7450"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Esri file geodatabase"],"description":"A modelled dataset derived from a range of national datasets, describing the distribution of woody linear feature boundaries in Great Britain.  The dataset presents linear features which have a high likelihood of being a woody linear feature.  The dataset was created by a predictive model developed at the Centre for Ecology & Hydrology, Lancaster in 2016.","documentType":"GEMINI_DOCUMENT","familyName":["Scholefield","Morton","Rowland","Henrys","Howard","Norton"],"fullName":["Scholefield, P.A.","Morton, R.D.","Rowland, C.S.","Henrys, P.A.","Howard, D.C.","Norton, L.R."],"givenName":["P.A.","R.D.","C.S.","D.C.","L.R."],"identifier":"d7da6cb9-104b-4dbc-b709-c1f7ba94fb16","incomingCitationCount":5,"keyword":["Biodiversity","Land cover","hedgerows","linear features","hedge"],"keywordsOther":["hedgerows","linear features","hedge"],"keywordsTheme":["Biodiversity","Land cover"],"licence":"Non-Open government licence","lineage":"The dataset is the output from a model which classifies the attributes of each linear feature within a linear framework (based upon the simplified version of Ordnance Survey MasterMap).\n\nThe following approach was taken:\tAreas of the framework were masked out where woody linear features were unlikely to be found or where it would be impossible to detect them, i.e. where land was higher than 350 m, urban, wooded or in a coastal tide-washed area. OS Land-Form PANORAMA/LCM2007 were used to do this.  Boundary height information was calculated from a DTM (NEXTMap 5m).  Boundaries with woody linear features were identified from this calculated height data using thresholds for different vegetation height attributes for a given length of boundary, namely: minimum vegetation height -0.13 m (accounting for the presence of a ditch adjacent to the woody feature) to maximum vegetation height 58 m (the maximum height for a tree in GB), and mean vegetation height 0.58 m (accounting for gappy features).  The dataset presents linear features which have a high likelihood of being a woody linear feature.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:21:39.000Z","orcid":["0000-0003-2974-6431","0000-0003-3947-6463","0000-0002-0459-506X","0000-0003-4758-1482","0000-0003-4494-7450"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d7da6cb9-104b-4dbc-b709-c1f7ba94fb16","10.5285/d7da6cb9-104b-4dbc-b709-c1f7ba94fb16","doi:10.5285/d7da6cb9-104b-4dbc-b709-c1f7ba94fb16"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A modelled dataset derived from a range of national datasets, describing the distribution of woody linear feature boundaries in Great Britain.  The dataset presents linear features which have a high likelihood of being a woody linear feature.  The dataset was created…","state":"published","title":"Woody linear features framework, Great Britain v.1.0","topic":["0/Biodiversity/","0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"This collection contains four datasets with the following measurements from five long-term grassland-to-woodland contrasts across England: plant aboveground net primary productivity, litter layer depth, soil water release curves, hydraulic conductivity, earthworm counts and identification, and soil physical, chemical and biological properties to 1 m depth. A file is provided to connect all the co-located measurements. \n\nThe five land use contrasts were: Gisburn (Gisburn-1, Gisburn-2), Alice Holt, Wytham Woods, and Kielder Forest. Each land use contrast was assigned a grassland and a woodland plot. Each of these plots were further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 to 6 being the furthest apart. The contrast boundary is between grids 3 and 4. \n\nThis project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1). ","documentType":"GEMINI_DOCUMENT","identifier":"b8081717-5ba9-48f8-a7f4-aef49642b4ef","incomingCitationCount":0,"keyword":["woodland","grassland","co-located measurements","UK-SCAPE","SOC-D","aboveground net primary productivity","ANPP","litter layer depth","soil organic carbon","SOC","density fractionation","topsoil","subsoil","soil physics","soil chemistry","soil biology","soil hydrology","soil microbial genes","soil meta-genome","HYPROP","earthworms"],"keywordsOther":["woodland","grassland","co-located measurements","UK-SCAPE","SOC-D","aboveground net primary productivity","ANPP","litter layer depth","soil organic carbon","SOC","density fractionation","topsoil","subsoil","soil physics","soil chemistry","soil biology","soil hydrology","soil microbial genes","soil meta-genome","HYPROP","earthworms"],"licence":"Non-Open government licence","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2024-02-08T17:36:32.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b8081717-5ba9-48f8-a7f4-aef49642b4ef"],"resourceType":"Aggregation","shortenedDescription":"This collection contains four datasets with the following measurements from five long-term grassland-to-woodland contrasts across England: plant aboveground net primary productivity, litter layer depth, soil water release curves, hydraulic conductivity, earthworm counts…","state":"published","title":"Co-located ecological data from five long-term grassland-to-woodland land use contrasts across England measured between 2018 and 2021","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Exeter","University of Oxford","University College Dublin"],"authorFamilyName":["Marsh","Raulo","Brouard","Coulson","Knowles","English"],"authorFullName":["Marsh, K.","Raulo, A.","Brouard, M.","Coulson, T.","Knowles, S.C.L.","English, H."],"authorGivenName":["K.","A.","M.","T.","S.C.L.","H."],"authorOrcid":["0000-0002-0515-9518","0000-0003-4860-7840","0000-0001-7183-4115","0000-0001-9371-9003","0000-0002-2368-4623","0000-0002-8854-6707"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/052gg0110","https://ror.org/05m7pjf47"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)",".rds"],"description":"This dataset is a combination of data obtained from a longitudinal live trapping study of wild rodents in Wytham Woods, Oxford (51.796 N,-1.367 W); October 2015-18), a dissection study of rodents caught in the same woodland (October 2017-18), and a diet shift experiment on a captive colony of wood mice housed at the University of Edinburgh (May 2017).\n\nThe longitudinal live trapping study dataset contains trapping data and data on the gut microbiome composition, diet and gut parasite infection of individually-identifiable rodents. Three species of rodents were trapped with Sherman live-traps fortnightly for 3 years: wood mice (Apodemus sylvaticus), yellow-necked mice (Apodemus flavicollis) and bank voles (Myodes glaerolus). Upon capture, they were injected with a passive integrated transponder (PIT) tag, measured, weighted, sexed, aged and a faecal sample was collected from individuals for microbiome, diet and parasite analyses. All rodents were released to their location of capture. \n\nThe dissection study contains trapping data, gut microbiome and parasite infection data. Wood mice were trapped fortnightly for one year with Sherman live-traps at least 300m away from the longitudinal sampling grid. Individuals that had been captured and marked with a PIT tag as part of the longitudinal study were released along with other rodents species and juvenile or pregnant individuals (only non-marked adult wood mice were sampled). Wood mice were euthanized (with ethical approval) and their gastrointestinal tract dissected for counts of gut helminths. Samples from along the gastrointestinal tract were taken for gut microbiome analysis. \n\nThe diet shift experiment dataset contains data on experimental diet treatments and gut microbiome composition of wood mice captively bred in a facility at the University of Edinburgh.  Wood mice were given diets varying in the ratio of food supplementation (dried mealworm and/or peanut) and faecal samples taken periodically over 30 days to measure changes in gut microbiome composition and function.\n\nSamples for microbiome and diet characterization were stored without buffer at -80̊C. Samples for parasite detection were stored in 10% formalin and refrigerated at 4̊C.\n\nThis work was funded by a NERC independent Research Fellowship.","documentType":"GEMINI_DOCUMENT","familyName":["Marsh","Raulo","Brouard","Coulson","Knowles","English"],"fullName":["Marsh, K.","Raulo, A.","Brouard, M.","Coulson, T.","Knowles, S.C.L.","English, H."],"funder":["Natural Environment Research Council"],"givenName":["K.","A.","M.","T.","S.C.L.","H."],"grant":["NE/L011867/1"],"identifier":"4f454849-0d30-4c27-ad5b-d285e461bedc","incomingCitationCount":0,"keyword":["Microbiome","microbiota","transmission","gut microbiome","Sherman","wild mouse","wood mouse"," Apodemus","diet","metabarcoding","metabolite","fecal flotation","gut helminth","parasite","trapping"],"keywordsOther":["Microbiome","microbiota","transmission","gut microbiome","Sherman","wild mouse","wood mouse"," Apodemus","diet","metabarcoding","metabolite","fecal flotation","gut helminth","parasite","trapping"],"licence":"Open government licence","lineage":"Data and sample collection:\n - Wytham longitudinal study – Fortnightly for three years from October 2015-18.\n - Wytham dissection study – Fortnightly for one year from October 2017-18.\n - Diet shift experiment – Daily for one month (May 2017).\n\nSample processing:\nDNA from the first year of the Wytham longitudinal study plus diet shift experiment faecal samples was extracted and sequenced in winter 2017 for microbiome composition using the V4-V5 region of bacterial 16S rRNA marker gene. DNA from the last two years of the Wytham longitudinal study and the dissection study samples was extracted and sequenced in early 2019 for microbiome composition.\n\nDiet composition in the Wytham longitudinal study samples was determined by amplification and sequencing of the rbcL gene in winter 2019.\n\nMetabolomics analysis of frozen faecal samples from the Wytham longitudinal and diet shift experiment studies was done in winter 2019 using Gas Chromatography- Mass Spectrometry methods to provide data on microbiome function.\n\nParasite detection in formalin-stored faecal samples from the Wytham longitudinal study was performed using faecal flotation techniques in winter 2017.\n\nDetails of the data generation and the cleaning process can be found from the documentation accompanying this data","locations":["POLYGON((-1.367 51.746, -1.367 51.796, -1.271 51.796, -1.271 51.746, -1.367 51.746))"],"metadataDate":"2026-07-24T21:22:22.000Z","orcid":["0000-0002-0515-9518","0000-0003-4860-7840","0000-0001-7183-4115","0000-0001-9371-9003","0000-0002-2368-4623","0000-0002-8854-6707"],"organisation":["University of Exeter","University of Oxford","University College Dublin","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4f454849-0d30-4c27-ad5b-d285e461bedc","10.5285/4f454849-0d30-4c27-ad5b-d285e461bedc","doi:10.5285/4f454849-0d30-4c27-ad5b-d285e461bedc"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/03yghzc09","https://ror.org/052gg0110","https://ror.org/05m7pjf47","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a combination of data obtained from a longitudinal live trapping study of wild rodents in Wytham Woods, Oxford (51.796 N,-1.367 W); October 2015-18), a dissection study of rodents caught in the same woodland (October 2017-18), and a diet shift experiment…","state":"published","supplementalDescription":["Marsh, K.J (2020). The wild mammalian microbiome: host-microbe interactions in a natural mouse model. PhD thesis. Royal Veterinary College, University of London.","Raw 16S sequence data is available on the European Nucleotide Archive under the project accession PRJEB49639. "],"supplementalName":["Synchronous seasonality in the gut microbiota of wild mouse populations.","The wild mammalian microbiome: host-microbe interactions in a natural mouse model","UK Wood mouse faecal microbiomes"],"title":"Diet, gut microbiome and parasite data from wild rodents and diet shift data from captive rodents, 2014-2018","version":1.0,"view":["public","margla"]},{"availability":"Unknown","catalogue":"eidc","description":"This data collection contains a variety of flux (CO2, water and energy) and meteorological time series observations in the UK, including for example time series observations of turbulent surface-atmosphere exchanges of sensible heat (H) and momentum (τ) measured at an area of ancient broadleaved deciduous forest in Oxfordshire, UK (Wytham Woods) and others, for example, time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a Miscanthus x. giganteus Greef et Deu plantation in Lincolnshire, UK.","documentType":"GEMINI_DOCUMENT","familyName":["Morrison"],"fullName":["Morrison, R."],"givenName":["R."],"identifier":"578b8f2d-4cf5-4d4c-ad7a-281c43f27808","incomingCitationCount":0,"licence":"Non-Open government licence","lineage":"The Oxfordshire Data were collected by staff from the Centre for Ecology & Hydrology, Wallingford from the top of a forest tower using the micrometeorological eddy covariance (EC) technique at Wytham Woods, Oxfordshire.  \n\nThe Lincolnshire data including Eddy covariance (EC) and micrometeorological observations were made above the Miscanthus canopy using an open-path eddy covariance system. Ancillary meteorological and soil physics observations were made from a scaffold tower at the northern end of the plantation.\n","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T23:06:24.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-10-31T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/578b8f2d-4cf5-4d4c-ad7a-281c43f27808"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data collection contains a variety of flux (CO2, water and energy) and meteorological time series observations in the UK, including for example time series observations of turbulent surface-atmosphere exchanges of sensible heat (H) and momentum (τ) measured at…","state":"published","title":"Flux (CO2, water and energy) and meteorological data in UK","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Stirling","University of O'Higgins"],"authorFamilyName":["Jump","Greenwood","Venegas-González","Paredes-Berríos"],"authorFullName":["Jump, A.","Greenwood, S.","Venegas-González, A.","Paredes-Berríos, P."],"authorGivenName":["Alistair","Sarah","Alejandro","Pablo"],"authorOrcid":["0000-0002-2167-6451","0000-0001-9104-7936","0000-0003-4568-4533","0009-0004-8188-8044"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/044cse639"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset comprises multispectral orthoimagery acquired from six drone flights over sclerophyllous and deciduous forest in La Campana National Park, located in the Mediterranean bioregion of central Chile, conducted in January 2024. Raw images were processed in Agisoft Metashape following a standard structure-from-motion workflow: images were first aligned to estimate camera positions and generate a sparse point cloud, followed by the construction of a dense point cloud for detailed surface reconstruction, and finally generating the five-band orthomosaics (Blue, Green, Red, Red Edge, Near-Infrared) at high spatial resolution. These data were collected to quantify drought-induced canopy defoliation and forest structural degradation following extreme Hyperdrought events in 2019 and 2021. This resource is intended for researchers studying climate change impacts on Mediterranean-type ecosystems, remote sensing applications in forest ecology, and drought-induced mortality mechanisms.","documentType":"GEMINI_DOCUMENT","familyName":["Jump","Greenwood","Venegas-González","Paredes-Berríos"],"fullName":["Jump, A.","Greenwood, S.","Venegas-González, A.","Paredes-Berríos, P."],"funder":["Natural Environment Research Council"],"givenName":["Alistair","Sarah","Alejandro","Pablo"],"grant":["NE/Y004205/1"],"identifier":"f7a5f084-4cb9-4247-88ce-85de712d0217","incomingCitationCount":0,"keyword":["Biodiversity","Mapping","Environmental survey","Land cover","biodiversity","central chile","climate change","drought","forest ecology","forest mortality","Mediterranean climate","Mediterranean forest","Mediterranean wood","tree","tree mortality"],"keywordsOther":["biodiversity","central chile","climate change","drought","forest ecology","forest mortality","Mediterranean climate","Mediterranean forest","Mediterranean wood","tree","tree mortality"],"keywordsTheme":["Biodiversity","Mapping","Environmental survey","Land cover"],"licence":"Open government licence","lineage":"Multispectral imagery was acquired in January 2024 using a DJI Phantom 4 Multispectral drone across six separate flights over La Campana National Park (Chile). The drone captured five spectral bands (Blue, Green, Red, Red Edge, Near-Infrared) at a spatial resolution of approximately 6.5 cm/pixel. Raw image files were processed in Agisoft Metashape software to generate georeferenced orthomosaics for each flight. Quality assurance steps included: (1) visual inspection of orthomosaics for artefacts, seam lines, and alignment errors; and (2) consistency checks across overlapping flight lines to ensure complete coverage of the images over the ground. Final orthoimagery was exported in GeoTIFF format with per-band digital number (DN) values ranging from 0 to 65535, accompanied by an RGB visualization recommended using Band 3 (Red), Band 2 (Green), and Band 1 (Blue) with min-max stretches of 0-3000. No atmospheric correction was applied; raw DN values are provided.","locations":["POLYGON((-71.145 -32.985, -71.145 -32.95, -71.1 -32.95, -71.1 -32.985, -71.145 -32.985))"],"metadataDate":"2026-07-31T10:55:28.000Z","orcid":["0000-0002-2167-6451","0000-0001-9104-7936","0000-0003-4568-4533","0009-0004-8188-8044"],"organisation":["University of Stirling","University of O'Higgins","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7a5f084-4cb9-4247-88ce-85de712d0217","10.5285/f7a5f084-4cb9-4247-88ce-85de712d0217","doi:10.5285/f7a5f084-4cb9-4247-88ce-85de712d0217"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/044cse639","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises multispectral orthoimagery acquired from six drone flights over sclerophyllous and deciduous forest in La Campana National Park, located in the Mediterranean bioregion of central Chile, conducted in January 2024. Raw images were processed in Agisoft…","state":"published","title":"Multispectral drone orthoimagery of sclerophyllous and deciduous forests in La Campana National Park, Chile, January 2024","topic":["0/Biodiversity/","0/Mapping/","0/Environmental survey/","0/Land cover/"],"version":1.0,"view":["public","tinzha"]}],"rows":20,"term":"wytham woods","url":"http://catalogue.ceh.ac.uk:443/eidc/documents?term=wytham%20woods"}