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Water chemistry analyses and subsequent calculations were conducted at ICH-VAST. Pigment analyses were conducted at the University of Nottingham in the School of Geography and data calculations were conducted by researchers at the University of Nottingham. Data was collated by Jorge Salgado at the University of Nottingham. Suzanne McGowan and Jorge Salgado prepared the metadata.","locations":["POLYGON((104.35 19.84, 104.35 22.29, 106.77 22.29, 106.77 19.84, 104.35 19.84))"],"metadataDate":"2026-09-02T13:42:24.000Z","orcid":["0000-0003-4034-7140"],"organisation":["Netherlands Institute of Ecology","University of Nottingham","Netherlands institute of Ecology","NERC EDS Environmental Information Data Centre","Vietnamese Academy of Science and Technology"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7e35e760-0ca2-4290-8970-464ead03055d","10.5285/7e35e760-0ca2-4290-8970-464ead03055d","doi:10.5285/7e35e760-0ca2-4290-8970-464ead03055d"],"resourceType":"Dataset","rightsHolder":["University of Nottingham","Vietnamese Academy of Science and Technology"],"ror":["https://ror.org/01g25jp36","https://ror.org/01ee9ar58","https://ror.org/04xw4m193","https://ror.org/02wsd5p50"],"shortenedDescription":"The dataset contains physical, chemical and biological measurements from the waters of 21 river sites across the Red River Delta in northern Vietnam. The data were collected monthly between February 2018 and January 2020.  The parameters include temperature, dissolved…","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Water chemistry from the Red River Delta, Vietnam, 2018 to 2020","topic":["0/Pollution/"],"version":1.0,"view":["public","phtr"]},{"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":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-pixel probability of the land cover. A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","C.G"],"grant":["NE/R016429/1"],"identifier":"7727ce7d-531e-4d77-b756-5cc59ff016bd","incomingCitationCount":1,"keyword":["Great Britain","Biodiversity Action Plan","Land cover","mapping","land cover","habitat"],"keywordsOther":["mapping","land cover","habitat"],"keywordsPlace":["Great Britain"],"keywordsProject":["Biodiversity Action Plan"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra. \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). 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 accompanying the data.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:53:58.000Z","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":"2024-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7727ce7d-531e-4d77-b756-5cc59ff016bd","10.5285/7727ce7d-531e-4d77-b756-5cc59ff016bd","doi:10.5285/7727ce7d-531e-4d77-b756-5cc59ff016bd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type;…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Land Cover Map 2023 (10m classified pixels, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorFamilyName":["Perry","Wachowiak","Donnelly","Cavers"],"authorFullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"authorGivenName":["A.","W.","K.","S."],"authorOrcid":["0000-0002-7889-7597","0000-0003-2898-3523","0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Wachowiak","Donnelly","Cavers"],"fullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["A.","W.","K.","S."],"grant":["NE/K012177/1"],"identifier":"55118e26-cf5c-41d6-9157-738fce6bdddf","incomingCitationCount":0,"keyword":["Phenology","budburst","height","SNP array","genotypes","Scots pine"],"keywordsOther":["budburst","height","SNP array","genotypes","Scots pine"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"A common garden glasshouse trial was established in 2010 using seed from natural populations from three species of pine: Pinus sylvestris (SY), Pinus mugo (MU), Pinus uncinata (UN). Open-pollinated seeds were collected from three to five trees per population from twenty-eight natural populations in Europe covering the geographic range of each species. The collection consisted of thirteen populations of SY, nine MU, and six UN. The trial was divided into 25 randomized blocks with up to five families per population, of which the first 18 blocks were analysed by Wachowiak et al. (2018a).\n\nPhenotypes (height, bud set and budburst) were assessed in the glasshouse during spring (budburst), autumn (bud set) and winter (height) between 2010 and 2013. \n\nA subset of trees were selected to be genotyped using a multi-species SNP array. Trees were genotyped using a multi-species SNP array (Perry et al., 2020). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1 % agarose gel.\n\nGenotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC ‘high’ ≥ 0.82; DQC ‘low’ < 0.82; CR ‘high’ ≥ 96; CR ‘low’ < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).","locations":["POLYGON((-3.358 55.877, -3.358 56.003, -3.013 56.003, -3.013 55.877, -3.358 55.877))"],"metadataDate":"2026-07-24T23:04:54.000Z","orcid":["0000-0002-7889-7597","0000-0003-2898-3523","0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55118e26-cf5c-41d6-9157-738fce6bdddf","10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf","doi:10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","state":"published","temporalExtentText":"Data collected from 2010 to 2013","title":"Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse","topic":["0/Phenology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Universidad Nacional de Tucumán & CONICET","University of Aberdeen","Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)"],"authorFamilyName":["Powell","Russo","Irrazabal Alarcón","Rodriguez","Tannure","Baricco","Ruiz de Huidobro","Burslem","Montti"],"authorFullName":["Powell, P.A.","Russo, M.C.","Irrazabal Alarcón, V.","Rodriguez, J.S.","Tannure, F.M.","Baricco, M.","Ruiz de Huidobro, N.","Burslem, D.F.R.P.","Montti, L."],"authorGivenName":["Priscila Ana","M.C.","V.","J.S.","F.M.","M.","N.","D.F.R.P.","L."],"authorOrcid":["0000-0003-3911-0912","0000-0001-6033-0990","0000-0003-0301-016X"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource comprises two years of monitoring data on planted saplings, aimed at restoring native trees in invaded subtropical mountain forests (Yungas). The forests were located in the Horco Molle Experimental Reserve and Parque Sierra de San Javier, Tucumán, Argentina. The data is part of an experiment that aims to investigate the effects of management control of the invasion of non-native species, particularly Ligustrum lucidum, and other less abundant non-native species, on the dynamics of the woody community. The experiment was conducted between June 2020 and November 2023.\n\nThis work was carried out as part of NERC grant NE/S011641/1 “Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management”.\n","documentType":"GEMINI_DOCUMENT","familyName":["Powell","Russo","Irrazabal Alarcón","Rodriguez","Tannure","Baricco","Ruiz de Huidobro","Burslem","Montti"],"fullName":["Powell, P.A.","Russo, M.C.","Irrazabal Alarcón, V.","Rodriguez, J.S.","Tannure, F.M.","Baricco, M.","Ruiz de Huidobro, N.","Burslem, D.F.R.P.","Montti, L."],"funder":["Natural Environment Research Council"],"givenName":["Priscila Ana","M.C.","V.","J.S.","F.M.","M.","N.","D.F.R.P.","L."],"identifier":"44f5b604-ed2c-465a-9f0c-e02f7027fae8","incomingCitationCount":0,"keyword":["Yungas","Forest restoration","Sapling","Invasion management","Secondary forest"],"keywordsOther":["Forest restoration","Sapling","Invasion management","Secondary forest"],"keywordsPlace":["Yungas"],"licence":"Open government licence","lineage":"During a field experiment, data was collected on saplings to evaluate the management of secondary forests affected by the invasion of Ligustrum lucidum. The experiment established six permanent plots, each measuring 240 metres by 140 metres, totalling 3.36 hectares. The plots were arranged in pairs, with one plot designated as a control scenario (no actions applied), and the other treated (L. lucidum control and native tree planting).\n\nAfter applying mechanical-chemical treatment to invasive tree species, we planted three native species, namely Jacaranda mimosifolia, Solanum riparium, and Tipuana tipu, during the most suitable period to minimize plant stress, considering soil moisture and air temperature. The saplings, taller than 0.30 cm, were purchased from a local gardener who produced them for our experiment. The gardener collected the seeds to produce the saplings in the native forest near our study area. After planting, each sapling was tagged with an ID, and its diameter at the base and height were measured.\n\nEvery six months, the health status of all the planted saplings in the treated plots was measured and collected. The data was recorded on field sheets, transferred to spreadsheets, and exported as comma-separated value (CSV) files for deposit into the EIDC.\n","locations":["POLYGON((-65.629 -27.179, -65.629 -26.473, -65.135 -26.473, -65.135 -27.179, -65.629 -27.179))"],"metadataDate":"2026-07-24T21:16:12.000Z","orcid":["0000-0003-3911-0912","0000-0001-6033-0990","0000-0003-0301-016X"],"organisation":["Universidad Nacional de Tucumán & CONICET","University of Aberdeen","Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/44f5b604-ed2c-465a-9f0c-e02f7027fae8","10.5285/44f5b604-ed2c-465a-9f0c-e02f7027fae8","doi:10.5285/44f5b604-ed2c-465a-9f0c-e02f7027fae8"],"resourceType":"Dataset","rightsHolder":["Universidad Nacional de Tucumán & CONICET"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193","https://ror.org/04chzd762"],"shortenedDescription":"The data resource comprises two years of monitoring data on planted saplings, aimed at restoring native trees in invaded subtropical mountain forests (Yungas). The forests were located in the Horco Molle Experimental Reserve and Parque Sierra de San Javier, Tucumán,…","state":"published","temporalExtentText":"Data collected from 2020 to 2023","title":"Height, diameter, and health status of native sapling trees planted for restoration after invasive tree control in a secondary subtropical forest, Horco Molle, Tucumán, 2021-2023","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Incheon National University","University of Cambridge"],"authorFamilyName":["Han","Malliaras"],"authorFullName":["Han, S.","Malliaras, G.G."],"authorGivenName":["S.","G.G."],"authorOrcid":["0000-0001-8588-5466","0000-0002-4582-8501"],"authorRor":["https://ror.org/02xf7p935","https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset is in vitro validation of a potassium sensor that will be inserted into a plant stem. The dataset shows the sensitivity and selectivity of the fabricated potassium sensor. The data was obtained by measuring changes in electrical current with an increase in concentrations of the primary ion (K+) and interfering ion (Na+) to extract the sensitivity and selectivity, respectively using a semiconductor parameter analyser. K+ ion sensing data, measured directly inside a plant stem, are absent as the in vivo experiment should be optimised further.","documentType":"GEMINI_DOCUMENT","familyName":["Han","Malliaras"],"fullName":["Han, S.","Malliaras, G.G."],"funder":["Natural Environment Research Council"],"givenName":["S.","G.G."],"grant":["NE/T012293/1"],"identifier":"89998967-a974-4136-b650-b9af9f9d6969","incomingCitationCount":0,"keyword":["Ion sensors","Implantable sensors","sensor validation","sensor"],"keywordsOther":["Ion sensors","Implantable sensors","sensor validation","sensor"],"licence":"Open government licence","lineage":"The data were generated by measuring electrical current with an increase in ion concentrations stepwise using a semiconductor parameter analyser. There are raw data without data treatment. The applied voltage was 0 V and -0.6 V at the gate and drain terminal, respectively. Recorded output signal was drain current with the unit of ampere. This dataset was recorded in real time. Additionally, for in vitro validation, an artificial sap (Na+ 15 mM, Ca2+ 10 mM, Mg2+ 15 mM) was used with varying a K+ ion concentration.","metadataDate":"2026-07-25T08:40:27.000Z","orcid":["0000-0001-8588-5466","0000-0002-4582-8501"],"organisation":["Incheon National University","University of Cambridge","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/89998967-a974-4136-b650-b9af9f9d6969","10.5285/89998967-a974-4136-b650-b9af9f9d6969","doi:10.5285/89998967-a974-4136-b650-b9af9f9d6969"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/02xf7p935","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is in vitro validation of a potassium sensor that will be inserted into a plant stem. The dataset shows the sensitivity and selectivity of the fabricated potassium sensor. The data was obtained by measuring changes in electrical current with an increase…","state":"published","title":"Phytoelectronic potassium sensor performance data","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Leeds","Forest Research"],"authorFamilyName":["Hughes","Kunin","Ziv","Watts"],"authorFullName":["Hughes, S.","Kunin, B.","Ziv, G.","Watts, K."],"authorGivenName":["S.","B.","G.","K."],"authorRor":["https://ror.org/024mrxd33","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"A species by quadrat matrix showing the percentage cover of understory herbaceous plants in ancient and recent woodlands varying in age and isolation. Percentage cover was calculated for each species individually.\n\nThe data was collected on the Isle of Wight, woodlands spanned the entire island and were not situated in one area.\n\nAll data was collected in the summer of 2021 over a period of 3 weeks covering the last 2 weeks of may May and the first week of June. This time was chosen as this is when a large subset of woodland plants are in flower.\n\nWoodlands were sampled in blocks of three, each block contains an ancient woodland, a recent woodland adjacent to the ancient woodland and another recent woodland of similar age and size but isolated from the ancient woodland. Each woodland had six quadrats taken, systematically placed at four corners and two in the centre. Within each quadrat the percentage cover of all understory herbs was recorded.\n\nThis data was collected to measure the colonisation credit of recently planted woodlands, and to observe how much this might vary under differing degrees of isolation. This data could also be used to compare all sorts of biodiversity metrics between connected and isolated recent woodlands. It could also be used to compare beta diversity metrics between woodlands of varying degrees of isolation\n","documentType":"GEMINI_DOCUMENT","familyName":["Hughes","Kunin","Ziv","Watts"],"fullName":["Hughes, S.","Kunin, B.","Ziv, G.","Watts, K."],"funder":["Natural Environment Research Council"],"givenName":["S.","B.","G.","K."],"grant":["NE/S007458/1"],"identifier":"7c2b2878-1d15-4ddd-9d7e-cf50bd65f652","incomingCitationCount":0,"keyword":["Colonisation credit","woodland understory plants","woodland creation","ancient woodlands"],"keywordsOther":["Colonisation credit","woodland understory plants","woodland creation","ancient woodlands"],"licence":"Open government licence","lineage":"Data were collected in field surveys on the isle of wight during the summer of 2021. Plants were identified using a dichotomous key and percentage cover was estimated subjectively using marks around the quadrat for assistance. \n\nUnits in the core matrix of the data is percentage cover, any plant covering less than 5% of the quadrat was marked as <5.\n\nThere were no processing steps undertaken on this data, values were typed into csv format straight from the paper.  \n\nAll quality control had to be undertaken in the field, using a dichotomous key to identify each plant and being careful and consistent with percentage cover estimations ensured all data were correct. However, there may be limitations in that a plant may have been misidentified through human error.\n\n","locations":["POLYGON((-1.722 50.476, -1.722 50.872, -0.849 50.872, -0.849 50.476, -1.722 50.476))"],"metadataDate":"2026-07-25T06:57:23.000Z","organisation":["University of Leeds","Forest Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c2b2878-1d15-4ddd-9d7e-cf50bd65f652","10.5285/7c2b2878-1d15-4ddd-9d7e-cf50bd65f652","doi:10.5285/7c2b2878-1d15-4ddd-9d7e-cf50bd65f652"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"A species by quadrat matrix showing the percentage cover of understory herbaceous plants in ancient and recent woodlands varying in age and isolation. Percentage cover was calculated for each species individually.\n\nThe data was collected on the Isle of Wight, woodlands…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Understory herbaceous plant cover in secondary woodlands on the Isle of Wight, 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Carter","Dodd","Keenan","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Carter, H.T.","Dodd, B.A.","Keenan, P.O.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["H.","H.T.","B.A.","P.O.","K.","G.","S.J."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. All data are from January 2023 until the end of 2023.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Carter","Dodd","Keenan","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Carter, H.T.","Dodd, B.A.","Keenan, P.O.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["H.","H.T.","B.A.","P.O.","K.","G.","S.J."],"grant":["NE/R016429/1","NE/Y006208/1"],"identifier":"4a6301d4-b551-4ce0-8d02-beb26e44c72d","incomingCitationCount":0,"keyword":["UK","Lake District National Park","UK-SCAPE","NC-UK","Hydrology","lake","lake basin","lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","alga","phytoplankton","lake water chemistry"],"keywordsOther":["lake","lake basin","lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","alga","phytoplankton","lake water chemistry"],"keywordsPlace":["UK","Lake District National Park"],"keywordsProject":["UK-SCAPE","NC-UK"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements (from 2023 onwards). Water samples were not integrated on these occasions, marked as Flag 2.\nPlease note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, equipment limitations or staff shortage.\n","locations":["POLYGON((-2.985 54.367, -2.985 54.425, -2.898 54.425, -2.898 54.367, -2.985 54.367))"],"metadataDate":"2026-07-24T21:19:34.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4a6301d4-b551-4ce0-8d02-beb26e44c72d","10.5285/4a6301d4-b551-4ce0-8d02-beb26e44c72d","doi:10.5285/4a6301d4-b551-4ce0-8d02-beb26e44c72d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, UK, 2023","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["Queen's University Belfast","Institute of Urban Environment, Chinese Academy of Sciences"],"authorFamilyName":["Meharg","Zhu","Li"],"authorFullName":["Meharg, A.","Meharg, C.","Zhu, Y.","Li, G."],"authorGivenName":["A.","C.","Y.","G."],"authorRor":["https://ror.org/00hswnk62"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Elemental analysis of 80 soil samples taken in the Ningbo Watershed, in the Zhangxi catchment, Eastern China. Variables measured include As, Cd, Cr, Cu, Ni, P, Pb, and lead isotope ratios along with concentrations of Zn, Ca and K. Data was collected in March 2016 and analysed at Queens Belfast University. The data was collected and analysed as part of a NERC NSFC funded multi project research programme UK- China Critical Zone Observation Programme. ","documentType":"GEMINI_DOCUMENT","familyName":["Meharg","Zhu","Li","Dennis"],"fullName":["Meharg, A.","Meharg, C.","Zhu, Y.","Li, G.","Dennis, S.J."],"funder":["Natural Environment Research Council"],"givenName":["A.","C.","Y.","G.","S.J."],"grant":["NE/N007514/1","NE/N007514/2"],"identifier":"9c2e8b85-48ab-48c9-b69d-dd676a5d086f","incomingCitationCount":0,"keyword":["China","Ningbo","Soil","ICP-MS","XRF","isotope","zinc","calcium","potassium","lead","arsenic","cadmium","copper","chromium","nickel","phosphorus","lead isotope ratios"],"keywordsOther":["ICP-MS","XRF","isotope","zinc","calcium","potassium","lead","arsenic","cadmium","copper","chromium","nickel","phosphorus","lead isotope ratios"],"keywordsPlace":["China","Ningbo"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"80 soil samples, including 40 from cropland, 11 from orchards and 29 from forests, were collected in a typical peri-urban catchment. All soil samples were collected with a stainless hand auger and stored in snap-sealed polypropylene bags. Soil samples were dried in a Christ LD freeze dryer, sieved and milled (except for pH and soil texture determination) by hand to a fine powder in a mortar and pestle. The concentrations of As, Cd, Cr, Cu, Ni, P, Pb, and lead isotope ratios, were determined with the ICP-MS (Thermo Scientific iCAP Q) in direct solution acquisition mode using a Cetac ASX-520 Auto Sampler. The concentrations of Zn, Ca and K were determined with an X-ray fluorescence (Rigaku Nex CG bentchtop XRF). ","locations":["POLYGON((121.5 29.5, 121.5 29.9, 121 29.9, 121 29.5, 121.5 29.5))"],"metadataDate":"2026-07-25T10:23:05.000Z","organisation":["Queen's University Belfast","Institute of Urban Environment, Chinese Academy of Sciences","University of Leeds","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9c2e8b85-48ab-48c9-b69d-dd676a5d086f","10.5285/9c2e8b85-48ab-48c9-b69d-dd676a5d086f","doi:10.5285/9c2e8b85-48ab-48c9-b69d-dd676a5d086f"],"resourceType":"Dataset","ror":["https://ror.org/00hswnk62","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"Elemental analysis of 80 soil samples taken in the Ningbo Watershed, in the Zhangxi catchment, Eastern China. Variables measured include As, Cd, Cr, Cu, Ni, P, Pb, and lead isotope ratios along with concentrations of Zn, Ca and K. Data was collected in March 2016 and…","state":"published","temporalExtentText":"Data collected from 2016 to 2016","title":"Elemental analysis of soil in the Ningbo watershed, China","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Macaulay Land Use Research Institute","Centre for Ecology & Hydrology"],"authorFamilyName":["Buckland","Burt-Smith","Scott"],"authorFullName":["Buckland, S.","Burt-Smith, G.","Scott, R."],"authorGivenName":["S.","G.","R."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data set comprises biomass values and mineral nutrient values from experimental plots located at Sourhope, Scotland.  On five occasions throughout each of the 1999, 2000, 2001 and 2002 growing seasons, grass cuttings were collected from a 50 x 50 cm cell area from each of the four main sub-plots within each of a set of experimental main-plots, and biomass values calculated. In addition, mineral nutrient analysis was carried out for the July 1999 grass cuttings.  The work was part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963).  During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). \n\nThe primary aims of the Programme were to achieve simultaneously an understanding of the biological diversity of the soil biota and the functional roles played by soil organisms in key ecological processes. In seeking to achieve these aims, 24 separate research projects were funded to study soil structure, soil processes (such as the carbon and nitrogen cycles) and the roles of micro-fauna and flora (Bacteria, Nematoda, Protozoa and Fungi), microarthropods (including Collembola and Acari), invertebrate root feeders (Tipulid, Bidionid and Scarabeid larvae), meso-fauna (such as Enchytraeidae) and macro-fauna (including Megadrili, Mollusca and Coleoptera).","documentType":"GEMINI_DOCUMENT","familyName":["Buckland","Burt-Smith","Scott","Sier"],"fullName":["Buckland, S.","Burt-Smith, G.","Scott, R.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["S.","G.","R.","A."],"identifier":"1a278fbf-b8b2-472d-9100-5fb432095f63","incomingCitationCount":0,"keyword":["NERC Soil Biodiversity Programme","Soil","Biodiversity","biomass","biological diversity"],"keywordsOther":["biomass","biological diversity"],"keywordsProject":["NERC Soil Biodiversity Programme"],"keywordsTheme":["Soil","Biodiversity"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963).  Data were collected by staff employed by MLURI and were managed by the Centre for Ecology & Hydrology. ","locations":["POLYGON((-2.238 55.468, -2.238 55.477, -2.222 55.477, -2.222 55.468, -2.238 55.468))"],"metadataDate":"2026-07-24T19:14:54.000Z","organisation":["Macaulay Land Use Research Institute","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a278fbf-b8b2-472d-9100-5fb432095f63","10.5285/1a278fbf-b8b2-472d-9100-5fb432095f63","doi:10.5285/1a278fbf-b8b2-472d-9100-5fb432095f63"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data set comprises biomass values and mineral nutrient values from experimental plots located at Sourhope, Scotland.  On five occasions throughout each of the 1999, 2000, 2001 and 2002 growing seasons, grass cuttings were collected from a 50 x 50 cm cell area from…","state":"published","supplementalDescription":["Website for the NERC Soil Biodiversity Programme"],"supplementalName":["Soil Biodiversity website "],"temporalExtentText":"Data collected from 1999 to 2002","title":"Biomass data from Sourhope field experiment site, Scotland, 1999-2002 [NERC Soil Biodiversity Programme]","topic":["0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"altTitle":["SWDown WFD","Surface incident shortwave radiation WFD"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Qair or 2m specific humidity (instantaneous) is the instantaneous specific humidity at 2m measured in kg/kg at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"2303498e-c499-42d1-9950-1b1f763a20fa","incomingCitationCount":0,"keyword":["Modelling","Hydrology","land surface","atmosphere","hydrology","modelling","meteorology"],"keywordsOther":["land surface","atmosphere","hydrology","modelling","meteorology"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T19:23:30.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1315212150538","CEH:EIDC::1315212150538","https://catalogue.ceh.ac.uk/id/2303498e-c499-42d1-9950-1b1f763a20fa"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848."],"temporalExtentText":"Data collected from 1911 to 2001","title":"WATCH forcing data (WFD) - 20th century Qair (specific humidity) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"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","temporalExtentText":"Data collected from 2020 to 2020; Data collected from 2021 to 2021","title":"Bird ringing records from Wytham Woods, Oxfordshire, UK during 2020 and 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Corporación COL-TREE","University of Exeter"],"authorFamilyName":["Restrepo","Mercado"],"authorFullName":["Restrepo, Z.","Mercado, L.M."],"authorGivenName":["Z.","L.M."],"authorOrcid":["0000-0002-3213-9985","0000-0003-4069-0838"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset details the allometry and leaf trait measurements in three common gardens of fifteen juvenile tree species from the Colombian Andes planted along a thermosequence (14, 22 and 26 deg C) in the Antioquia region of Colombia.\n\nAllometric data includes tree diameter at the base, total tree height and height to the first branch, crown diameters, health status, survival and percentage of herbivory attacks over ten measuring campaigns from February 2019 until January 2022.\n\nTrait data includes leaf area, thickness, dry weight, leaf mass per area total number of branches and leaves per tree. Regarding the common garden plantations the trees were planted in the ground between November 2019 and January 2019 with planting height ranging between 50 and 100 cm (species dependent).","documentType":"GEMINI_DOCUMENT","familyName":["Restrepo","Mercado","Restrepo Correa"],"fullName":["Restrepo, Z.","Mercado, L.M.","Restrepo Correa, Z."],"funder":["Natural Environment Research Council"],"givenName":["Z.","L.M.","Zorayda "],"grant":["NE/R001928/1"],"identifier":"c7ce1610-aba3-4a09-bf7c-1b6c774d597a","incomingCitationCount":0,"keyword":["Antioquia","tree","allometry ","growth","leaf traits"],"keywordsOther":["tree","allometry ","growth","leaf traits"],"keywordsPlace":["Antioquia"],"licence":"Open government licence","lineage":"Trees were planted in open areas in 0.32 m3 soil pits using 400 kg of soil per tree from soil extracted from a nearby location to the 14 deg C site to maintain soil physical and chemical conditions. All trees were tagged and their diameter at 2 cm height was labelled to ensure all posterior measurements were taken at the same stem position. All trees have been watered since planting during dry periods to allow successful plant establishment and avoid water-limitation effects. At each field site, trees were planted in four 600 m2 plots with six blocks within each plot, codified '1' to '6'.  The sixth block was used as a nutrient fertilisation treatment, with monthly additions of N, P, K and secondary and minor elements. Each block contains one tree of each of the fifteen-study species, for a total of 24 trees of each of the fifteen species per site, with 360 trees planted at each site.\n\nTrees were monitored (allometry and leaf structural traits) since they were 18-24 months old from February 2019 until January 2022. A total of ten measuring campaigns were performed for allometry and five for leaf structural traits. The first allometry census was performed at a mid-elevation nursery where trees were germinating and then growing for 18-24 months.  ","locations":["POLYGON((-75.75 5.513, -75.75 5.845, -75.55 5.845, -75.55 5.513, -75.75 5.513))"],"metadataDate":"2026-09-02T13:44:03.000Z","orcid":["0000-0002-3213-9985","0000-0003-4069-0838"],"organisation":["Corporación COL-TREE","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c7ce1610-aba3-4a09-bf7c-1b6c774d597a","10.5285/c7ce1610-aba3-4a09-bf7c-1b6c774d597a","doi:10.5285/c7ce1610-aba3-4a09-bf7c-1b6c774d597a"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset details the allometry and leaf trait measurements in three common gardens of fifteen juvenile tree species from the Colombian Andes planted along a thermosequence (14, 22 and 26 deg C) in the Antioquia region of Colombia.\n\nAllometric data includes tree…","state":"published","temporalExtentText":"Data collected from 2019 to 2022","title":"Leaf structural traits and allometry of juvenile trees across temperature treatments in an experimental plantation in the Colombian Andes, 2019-2022","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Oxford","University of Białystok","Polish Academy of Sciences","UFZ Helmholtz Centre for Environmental Research"],"authorFamilyName":["Schönrogge","Thomas","Elmes","Sielezniew","Stankiewicz-Fiedurek","Simcox","Settele"],"authorFullName":["Schönrogge, K.","Thomas, J.A.","Elmes, G.W.","Sielezniew, M.","Stankiewicz-Fiedurek, A.","Simcox, D.","Settele, J."],"authorGivenName":["K.","J.A.","G.W.","M.","A.","D.","J."],"authorOrcid":["0000-0003-0122-6493"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/052gg0110","https://ror.org/01qaqcf60","https://ror.org/01dr6c206","https://ror.org/000h6jb29"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset derives from cross-over experiments using ant worker rescue behaviour towards caterpillars of the socially parasitic butterfly from two host-ecotypes.  The data comprise datasets collected from four 4 experiments 3 hours after testing and from 4 experiments 7 days later. They all include nest numbers, the order of retrieval ranked by the attention of nurse ants to the ant pupae, large larvae and small larvae and the adult Maculinea rebeli. The data give the rank order of test items as they were rescued in order to explain social status achieved in natural and unnatural host colonies. \n\nThis dataset is part of the study of mimetic host shifts in an endangered social parasite of ants, which is a joint study of the NERC's Centre for Ecology & Hydrology (UK), the University of Oxford (UK), University of Bialystok (Poland), Polish Academy of Sciences (Poland) and UFZ Helmholtz Centre for Environmental Research (Germany). \n\nDetailed research method can be found in Thomas et al. (2012) Mimetic host shifts in an endangered social parasite of ants. Proc. R. Soc. B vol. 280 no.1751. (http://doi.org/10.1098/rspb.2012.2336)","documentType":"GEMINI_DOCUMENT","familyName":["Schönrogge","Thomas","Elmes","Sielezniew","Stankiewicz-Fiedurek","Simcox","Settele"],"fullName":["Schönrogge, K.","Thomas, J.A.","Elmes, G.W.","Sielezniew, M.","Stankiewicz-Fiedurek, A.","Simcox, D.","Settele, J."],"givenName":["K.","J.A.","G.W.","M.","A.","D.","J.","Karsten"],"identifier":"d6a8bc3d-b6fb-47bc-a693-612e2454cf50","incomingCitationCount":0,"keyword":["Animal behaviour","Maculinea rebeli","Phengaris rebeli"],"keywordsOther":["Maculinea rebeli","Phengaris rebeli"],"keywordsTheme":["Animal behaviour"],"licence":"Non-Open government licence","lineage":"We assessed the social status achieved by each form of M. rebeli within colonies of each Myrmica species in a standard bioassay that involved perturbing laboratory ant colonies and recording the order in which the ants' own brood or the mimetic caterpillars were rescued. Groups of 5 butterfly larvae from each region were adopted into matching colonies of niaive French M. schencki and M. sabuleti. Every test colony also contained 5 brood items each of kin ant pupae, large and small larvae, making a total of 20 immature individuals and 20 workers per replicate. Cultures were established in laboratory colonies containing a small moist sponge pad beneath an inverted 6 cm diameter saucer with a notched entrance, under which the ants gathered their brood and M. rebeli. Three hours after the M. rebeli caterpillars had been introduced, we perturbed the experimental colonies by uncovering the brood chamber and relocating it over another pad nearby; we then recorded the order in which the nurse ants rescued their 15 brood items or the 5 M. rebeli and carried them into the new nest. The same experiment was repeated 7 days later, which represents a sufficient period for M. rebeli caterpillars to attain their maximum potential integration with a host society, yet remaining a similar size to when first adopted, i.e. the same size or smaller than the Myrmica pupae and large larvae. The number of replicates for each ant-butterfly combination tested varied due to a lack of some ants and butterfly deaths (especially with unnatural hosts). ","metadataDate":"2026-07-25T14:20:45.000Z","orcid":["0000-0003-0122-6493"],"organisation":["Centre for Ecology & Hydrology","University of Oxford","University of Białystok","Polish Academy of Sciences","UFZ Helmholtz Centre for Environmental Research","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-01-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1351092141705","CEH:EIDC::1351092141705","https://catalogue.ceh.ac.uk/id/d6a8bc3d-b6fb-47bc-a693-612e2454cf50","10.5285/d6a8bc3d-b6fb-47bc-a693-612e2454cf50","doi:10.5285/d6a8bc3d-b6fb-47bc-a693-612e2454cf50"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/00pggkr55","https://ror.org/052gg0110","https://ror.org/01qaqcf60","https://ror.org/01dr6c206","https://ror.org/000h6jb29","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset derives from cross-over experiments using ant worker rescue behaviour towards caterpillars of the socially parasitic butterfly from two host-ecotypes.  The data comprise datasets collected from four 4 experiments 3 hours after testing and from 4 experiments…","state":"published","supplementalDescription":["Thomas, J. A., Elmes, G. W., Sielezniew, M., Stankiewicz-Fiedurek, A., Simcox, D. J., Settele, J., & Schonrogge, K. (2012). Mimetic host shifts in an endangered social parasite of ants. Proceedings of the Royal Society B: Biological Sciences, 280(1751), 20122336-20122336."],"temporalExtentText":"Data collected from 2001 to 2005","title":"Mimetic host shifts in a social parasite of ants: Behavioural study","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","weig"]},{"availability":"Unknown","catalogue":"eidc","description":"These datasets are from long-term studies of biodiversity and habitat at Monks Wood National Nature Reserve, in eastern England, but also including other nearby woods in Cambridgeshire. The studies focused on the ecology of woodland birds, particularly studies of Marsh Tits (Poecile palustris), Blue Tits (Cyanistes caeruleus) and Great Tits (Parus major). We recorded territory and breeding data, and also data for the vegetation structure and composition in the woodland habitat. 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The studies focused on the ecology of woodland birds, particularly studies of Marsh…","state":"published","title":"Survey data from Monks Wood, Cambridgeshire, UK","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Birmingham"],"authorFamilyName":["Sambrook Smith"],"authorFullName":["Sambrook Smith, G.H."],"authorGivenName":["G.H."],"authorRor":["https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data were collected from a preliminary investigation on the interaction between turbulence and biofilms, using the particle image velocimetry (PIV) technique, which provides spatially- and temporally-resolved velocity vector fields in water for different flow configurations. Seventeen different experiments were conducted with different boundary conditions for each one. The biofilm was developed on a 30-cm-long section permeable bed, the biofilm-covered section was then placed in the water channel test section for flow experiments.  Flow rate was regulated by a variable frequency drive controlling the pump speed. Data was recorded at four pump frequencies.","documentType":"GEMINI_DOCUMENT","familyName":["Sambrook Smith"],"fullName":["Sambrook Smith, G.H."],"funder":["Natural Environment Research Council"],"givenName":["G.H."],"grant":["NE/K012819/1"],"identifier":"4fecb4cc-e751-4752-9687-09ef92626f63","incomingCitationCount":0,"keyword":["Hydrology","Particle image velocimetry","Turbulence","flow","hydrology"],"keywordsOther":["Particle image velocimetry","Turbulence","flow","hydrology"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The raw Particle Imaging Velocimetry  images were processed in LaVision DaVis 8.2 using a sequential cross-correlation algorithm with a final interrogation window size of 642 pixels with 50% overlap, resulting in a vector field resolution of ~0.44 mm and a vector grid spacing of ~0.22 mm.  ","metadataDate":"2026-07-24T21:22:46.000Z","organisation":["University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-06-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4fecb4cc-e751-4752-9687-09ef92626f63","10.5285/4fecb4cc-e751-4752-9687-09ef92626f63","doi:10.5285/4fecb4cc-e751-4752-9687-09ef92626f63"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"These data were collected from a preliminary investigation on the interaction between turbulence and biofilms, using the particle image velocimetry (PIV) technique, which provides spatially- and temporally-resolved velocity vector fields in water for different flow…","state":"published","temporalExtentText":"Data collected from 2016 to 2017","title":"Experimental data on the interaction of flow with a permeable bed and biofilms","topic":["0/Hydrology/"],"version":1.0,"view":["public","kath"]},{"authorAffiliation":["University of Bristol","University of Sheffield"],"authorFamilyName":["Sloan","Fletcher","Phoenix"],"authorFullName":["Sloan, V.L.","Fletcher, B.J.","Phoenix, G.K."],"authorGivenName":["V.L","B.J","G.K"],"authorRor":["https://ror.org/0524sp257","https://ror.org/05krs5044"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measurements of leaf and root growth, species abundance and soil temperature made in ten subarctic plant communities located at the Arctic Biosphere Atmosphere Coupling at Multiple Scales (ABACUS) project sites near to Abisko, Sweden, and Kevo, Finland. The data were collected during the summer growing seasons (May to September) in 2008 and 2009, and comprise field survey measurements, temperature logs and values derived from analyses of mini-rhizotron images. ","documentType":"GEMINI_DOCUMENT","familyName":["Sloan","Fletcher","Phoenix"],"fullName":["Sloan, V.L.","Fletcher, B.J.","Phoenix, G.K.","Sloan, V."],"givenName":["V.L","B.J","G.K","Victoria"],"identifier":"887a5e91-93be-4f5d-8674-b2d22a1ae8ae","incomingCitationCount":0,"keyword":["Abisko","Sweden","Kevo","Finland","Phenology","leaf phenology","root phenology","subarctic","birch forest","tall shrub","dwarf shrub","sedge","community composition","soil temperature","seasonal dynamics","forest","shrub","tundra"],"keywordsOther":["leaf phenology","root phenology","subarctic","birch forest","tall shrub","dwarf shrub","sedge","community composition","soil temperature","seasonal dynamics","forest","shrub","tundra"],"keywordsPlace":["Abisko","Sweden","Kevo","Finland"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"At each field site, eight replicate 1 x 1 m plots were established in five subarctic vegetation communities representative of the wider landscape, including birch forest, forest margin, tall and dwarf shrub tundra communities and sedge lawns. Each plot had a mini-rhizotron (0.3x0.7 m length of 70 mm diameter clear acrylic tubing) installed at 45o and shoots of the dominant plant species tagged with numbered cable ties. In 2008 in Kevo and 2009 in Abisko, length of all tagged shoots was recorded approximately weekly during the growing season, and a weekly 360o scan of all mini-rhizotrons taken with a CID-600 root scanner (CID Bioscience, Camas, Washington, USA). Root length was obtained from the scanned images by manually digitising visible roots using MapInfo Professional v. 8.0 software (Pitney Bowes Business Insight, New York, USA). Percentage cover of all species was estimated once at peak biomass in early August by a single surveyor, using a 0.75 x 0.75 m quadrat placed over each mini-rhizotron. Soil temperature at 5 cm depth was obtained from one TinyTag data logger (Gemini Data Loggers (UK) Ltd, Chichester, UK) per community, recording at 30 minute intervals. Additional soil temperature measurements at 5, 10, 15 and 20 cm depth were made weekly using a hand-held probe (Testo Ltd, Alton, UK). For further details of all measurements and data processing steps, see supporting documentation. ","locations":["POLYGON((18.434 67.521, 18.434 69.571, 27.594 69.571, 27.594 67.521, 18.434 67.521))"],"metadataDate":"2026-09-02T13:49:22.000Z","organisation":["University of Bristol","University of Sheffield","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1442850989501","CEH:EIDC::1442850989501","https://catalogue.ceh.ac.uk/id/887a5e91-93be-4f5d-8674-b2d22a1ae8ae","10.5285/887a5e91-93be-4f5d-8674-b2d22a1ae8ae","doi:10.5285/887a5e91-93be-4f5d-8674-b2d22a1ae8ae"],"resourceType":"Dataset","ror":["https://ror.org/0524sp257","https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measurements of leaf and root growth, species abundance and soil temperature made in ten subarctic plant communities located at the Arctic Biosphere Atmosphere Coupling at Multiple Scales (ABACUS) project sites near to Abisko, Sweden, and Kevo,…","state":"published","supplementalName":["Plants Data from the ABACUS Work Package 1 using plant harvesting equipment in Abisko (Sweden) and Kevo (Finland)"],"temporalExtentText":"Data collected from 2008 to 2009","title":"Root and leaf phenology of Scandinavian subarctic plant communities, 2008-2009","topic":["0/Phenology/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"authorFullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"authorGivenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"identifier":"48cd6732-bbfb-466d-ba80-ecc9e591a5c0","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Monitoring & Observing Systems","Parr Section"],"keywordsOther":["Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes the addition of a water class. Refer to online supporting documentation for further information.","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-07-24T21:18:40.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399374582591","CEH:EIDC::1399374582591","https://catalogue.ceh.ac.uk/id/48cd6732-bbfb-466d-ba80-ecc9e591a5c0","10.5285/48cd6732-bbfb-466d-ba80-ecc9e591a5c0","doi:10.5285/48cd6732-bbfb-466d-ba80-ecc9e591a5c0"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Northern Ireland. 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Ireland) v1.2","topic":["0/Land cover/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Swansea University","Unaffiliated"],"authorFamilyName":["Griffin","Joyce"],"authorFullName":["Griffin, J.N.","Joyce, M."],"authorGivenName":["J.N.","M."],"authorOrcid":["0000-0003-3295-6480"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions using 0.5 x 0.5m quadrats distributed along 3 transects at up to 28 sites. Observations were conducted in February 2018, July 2018, and January 2019. The coastline was impacted by Hurricane Irma in October 2017 and the data were collected to look at plant composition in coastal foredunes undergoing recovery from the hurricane. The data were collected as part of NERC grant NE/R016593/1, Resilience of a coastal ecosystem following hurricane Irma.","documentType":"GEMINI_DOCUMENT","familyName":["Griffin","Joyce"],"fullName":["Griffin, J.N.","Joyce, M.","Griffin, J."],"funder":["Natural Environment Research Council"],"givenName":["J.N.","M.","John"],"grant":["NE/R016593/1"],"identifier":"100af68f-78e2-4b9d-86b9-5777a5ef38fa","incomingCitationCount":0,"keyword":["Recovery","resilience","vegetation","storm","hurricane"],"keywordsOther":["Recovery","resilience","vegetation","storm","hurricane"],"licence":"Open government licence","lineage":"Field surveys were conducted in the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. The coastline was impacted by hurricane Irma in October 2017. At each site, transects perpendicular to the shoreline were positioned at ~50m intervals at locations subjectively judged to be representative of the site. At 1m intervals along each transect, from the crest of the foredune to the upper beach, the percentage cover of each plant species was estimated visually within a 0.5 x 0.5m quadrat. The total percentage cover was the sum of all individual species’ covers within a quadrat.","locations":["POLYGON((-87.364 23.966, -87.364 34.923, -79.014 34.923, -79.014 23.966, -87.364 23.966))"],"metadataDate":"2026-07-24T19:20:42.000Z","orcid":["0000-0003-3295-6480"],"organisation":["Swansea University","Unaffiliated","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/100af68f-78e2-4b9d-86b9-5777a5ef38fa","10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa","doi:10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/04xw4m193","https://ror.org/053fq8t95"],"shortenedDescription":"This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions…","state":"published","temporalExtentText":"Data collected from 2018 to 2019","title":"Plant composition in coastal foredunes of Florida and Georgia undergoing recovery from hurricane Irma, 2017","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Carter","Clarke","Dodd","James","Keenan","Kelsall","Mackay","McShane","Rankin","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","Dodd, B.A.","James, J.B.","Keenan, P.O.","Kelsall, M.","Mackay, E.B.","McShane, G.","Rankin, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","H.T.","M.A.","B.A.","J.B.","P.O.","M.","E.B.","G.","S.J.","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. 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However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.\n","locations":["POLYGON((-2.985 54.367, -2.985 54.425, -2.898 54.425, -2.898 54.367, -2.985 54.367))"],"metadataDate":"2026-07-24T21:16:48.000Z","orcid":["0000-0002-2028-4843","0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-01-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4600c752-ee9c-4e04-a95c-f5a5f8fb7f26","10.5285/4600c752-ee9c-4e04-a95c-f5a5f8fb7f26","doi:10.5285/4600c752-ee9c-4e04-a95c-f5a5f8fb7f26"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some…","state":"published","temporalExtentText":"Data collected from 2021 to 2022","title":" Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, UK, 2021-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}