cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/f52f012d-9f2e-42cc-b628-9cdea4fa3ba0
title: Grid-to-Grid model estimates of monthly mean flow and soil moisture for Great Britain (1891 to 2015): observed driving data [MaRIUS-G2G-Oudin-monthly]

description: This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1891 to 2015.

To aid interpretation, two additional spatial datasets are provided:
 -	Digitally-derived catchment areas on a 1km x 1km grid
 -	Estimated locations of flow gauging stations on a 1km x 1km grid and as a csv file.

The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/).
description: The flow and soil moisture estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and potential evaporation derived from 5km temperature data (Perry and Hollis, 2005, https://doi.org/10.1002/joc.1161) using the method of Oudin et al. (2005; https://doi.org/10.1016/j.jhydrol.2004.08.026). See Supporting Information for more details.
DOI: 10.15156/bio/sh0162752.10fu
title: SH0162752.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0162753.10fu
title: SH0162753.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5285/5f0605e4-aa2a-48ab-b47c-bf5510823e8f
title: ITE Land Classification of Great Britain 2007

description: The Land Classification 2007 is a classification of Great Britain into a set of 45 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s and building upon previous 1990 and 1998 versions. The strata were created from the multivariate analysis of 75 environmental variables, including climatic data, topographic data, human geographical features and geology data. The Land Classification can be used to stratify a wide range of ecological and biogeographical surveys to improve the efficiency of collection, analysis and presentation of information derived from a sample. The Land Classification 2007 provided stratification for the Countryside Survey of Great Britain 2007 and was adjusted from the 1998 version as a consequence of needing to provide National Estimates for habitats for Wales from Countryside Survey 2007 in addition to Scotland and GB as a whole. Both the 1990 version and the 1998 versions are also available. 
description: The 2007 version of the ITE Land Classification was developed from earlier classifications from 1990 and 1998 which used environmental data from all 240,000 km squares in GB to create the stratifications. It contains 45 classes or strata, distributed across Great Britain. Each stratum consists of areas with similar environmental characteristics. The classification differs from the 1998 version by splitting classes in England and creating additional classes in Wales. Further information is provided in the supporting documents available in the Online Resources.
DOI: 10.15156/bio/sh0162754.10fu
title: SH0162754.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5285/0023bd6e-4dd7-462c-aacf-f13083b054ab
title: Farm scale evaluations of herbicide tolerant genetically modified crops - spring oilseed rape

description: This dataset consists of a range of ecological measurements collected from a set of arable fields, each sown with a combination of genetically modified and conventional spring-sown oilseed rape crops. Measurements include species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology), the Institute of Arable Crops Research (now Rothamsted Research) and the Scottish Crop Research Institute (now the James Hutton Institute). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape).
description: Data were collected by a consortium of: the Institute of Terrestrial Ecology, ITE (now the Centre for Ecology & Hydrology, CEH), the Institute of Arable Crops Research (now Rothamsted Research, IACR) and the Scottish Crop Research Institute,SCRI. Data were collected for the four crops (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape) in the following areas: seedbank, vegetation in the crop, field edge vegetation, invertebrates. Strict data entry and storage controls, data management controls and data analysis protocols were in place during the project. Key reference: The Farm Scale Evaluations of spring-sown genetically modified crops. Papers of a Theme Issue. Philosphical Transactions of the Royal Society of London, Series B, Vol. 358, Number 1439, 29th November 2003.
DOI: 10.5285/8f09b7e6-6daa-4823-b338-4edad8de1461
title: Risk of Phytophthora infection in heathland fragments across Scotland

description: These spatial layers contain risk factors and overall risk scores, representing relative risk of Phytophthora infection (Phytophthora ramorum and P. kernoviae), for heathland fragments across Scotland. Risk factors include climate suitability, proximity to road and river networks and suitability of habitat for key hosts of Phytophthora and were broadly concurrent with the period between 2007 and 2013. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH).
description: The polygons depicted are from the LCM2007 broad habitat classes, namely broad habitat 10 encompassing heather and dwarf shrub, burnt heather, gorse and dry heath, and Broad Habitat 11, which is heather grass. Adam Butler from Biomathematics and Statistics Scotland (BioSS) provided statistical advice for habitat suitability modelling.
DOI: 10.15156/bio/sh0162755.10fu
title: SH0162755.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5285/b472d635-d8fa-4c39-acfe-2b285ca0b9a8
title: Mimetic host shifts in a social parasite of ants: Caterpillar survivors in Myrmica nests

description: This 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). Combined with datasets collected from previous study, they compare the proportions of caterpillars of Maculinea rebeli being adopted by resident Myrmica ant species near Przemysl, Poland in autumn with proportions of successful survivors the following summer to establish host specificity of the socially parasitic butterfly species. The data comprise: the study year, the ant species, total number of ant nest, the number of caterpillar survivors found in the nest of each ant species, number of nests with caterpillar presence and total number of nests without caterpillar presence. They were obtained from one population for 4 years(Y2001, Y2003, Y2004, Y2005). Detailed research method can be found in Thomas et al. (2013) Mimetic host shifts in an endangered social parasite of ants. Proc. R. Soc. B vol. 280 no.1751. (doi: 10.1098/rspb.2012.2336) 
description: Host specificity was measured by comparing the proportion of caterpillars that were adopted into different Myrmica nests with the proportion that survived to adulthood or pupation. Data were obtained from one population for 4 years near Przemy-l, s.e. Poland. The proportion of larvae adopted was estimated by baiting for ants beneath stratified random samples of gentians and by counting the number of eggs on each plant. Previous work had shown there was no difference in egg or larval survival on gentians growing in different ant territories, nor in the ratio of larvae retrieved from beneath plants by different ant species: the first Myrmica worker to encounter a larva retrieved it, and where two species overlapped there was no bias in retrieval towards one species. The distribution of the egg population on gentians is therefore an accurate surrogate for the distribution of the final instar population entering nests of each Myrmica species. Adult estimates of M. rebeli were obtained by recording eclosing individuals along stratified transects across sites, and identifying the nest after confirming that it contained an empty pupal case. Additional data were obtained by excavating all Myrmica nests near gentians along stratified transects that had supported known densities of eggs the previous year, and counting the pupae they contained. No mortality has been recorded in pupae in Myrmica cells before eclosion.
DOI: 10.15156/bio/sh0162756.10fu
title: SH0162756.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0162757.10fu
title: SH0162757.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0162758.10fu
title: SH0162758.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0162759.10fu
title: SH0162759.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0162760.10fu
title: SH0162760.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25549/inscriptifact-ouc112019739
title: Cuneiform Tablet 1913.14.0257, Spurlock 1913.14.0257

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0257; CDLI P420639 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Moderate Yellowish Pink (5YR 7/4) ❧ [Physical Object Note:] 4.5 x 4.3 x 1.5 cm (66g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.9xsxgq
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morula echinata (Reeve, 1846)"
 ]
}

 The dataset includes 161 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092472-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3p46s8
title: Occurrence Download

description: A dataset containing 1477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippuris tetraphylla L.fil.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1477 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016096-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmezb3
title: Occurrence Download

description: A dataset containing 69974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Valeriana dioica L., Valeriana pratensis Dierb.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 69974 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330360-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112018665
title: Cuneiform Tablet 1913.14.0255, Spurlock 1913.14.0255

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0255; CDLI P420637 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Yellowish Pink (5YR 8.5/1.5) Dark Gray (N 4.25/ 13.7% R) -discoloration ❧ [Physical Object Note:] 4.6 x 4.4 x 2.4 cm (58g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.w2rvdx
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morula aspera (Lamarck, 1816)"
 ]
}

 The dataset includes 130 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092470-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yu6tdr
title: Occurrence Download

description: A dataset containing 2840 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parkinsonia microphylla Torr."
 ]
}

 The dataset includes 2840 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330444-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.