cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/672f5522-7917-42fc-a806-65cb5c1d2709
title: UK Environmental Change Network (ECN) rabbit and deer data: 1993-2012

description: Rabbit and deer data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected by transect at ECN's terrestrial sites using a standard protocol. The protocol uses an index method based on dropping counts (of deer, rabbits - and where appropriate sheep and Grouse) to estimate relative abundance. They represent twice-yearly continuous records from 1993 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.
description: Data are collected by transect at all of ECN's terrestrial sites using a standard protocol. The protocol uses an index method based on dropping counts to estimate relative abundance. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. 

Verification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).

Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
DOI: 10.5285/e1d33b37-f1d4-4234-a0d5-8bf4e657f653
title: UK Environmental Change Network (ECN) meteorology data: 1992-2012

description: Meteorology data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include albedo (ground and sky), temperature (dry bulb, wet bulb and soil (at 10cm and 30cm)), relative humidity, radiation (net. and solar), rainfall, surface wetness, soil moisture, wind direction and wind speed). These data are collected by Automatic Weather Stations at all of ECN's terrestrial sites using a standard protocol. They represent continuous hourly records from 1992 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.
description: Data are collected by Automatic Weather Stations at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. 

Verification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).

Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
DOI: 10.48597/uur9-ht8n
title: Measurement of POPs (persistent organic pollutants) at Trollhaugen

description: Measurement of POPs (persistent organic pollutants) at Trollhaugen
DOI: 10.5285/ca2b1766-2acc-4eeb-82d1-29970e9a5667
title: UK Environmental Change Network (ECN) frog data: 1994-2012

description: Frog data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include phenology (i.e. the dates when frogs start congregating, spawning, when hatching occurs and when the frogs leave), number of spawn masses, total surface area covered by spawn, percentage of dead spawn, depth, pH, conductivity, alkalinity, aluminium, calcium, chloride, ammonium, nitrate nitrogen, phosphate phosphorous, potassium, sulphate sulphur, sodium, total nitrogen and total dissolved phosphorous. These data are collected at ECN's terrestrial sites using a standard protocol. They represent continuous records from 1994 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.
description: These data are collected at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. 

Verification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).

Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
DOI: 10.48597/ykzb-yune
title: Measurement of Chlordane at Trollhaugen

description: Measurement of Chlordane at Trollhaugen
DOI: 10.5285/456c24dd-0fe8-46c0-8ba5-855c001bc05f
title: UK Environmental Change Network (ECN) soil solution chemistry data: 1992-2012

description: Soil solution data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include pH, conductivity, alkalinity, aluminium, calcium, chloride, ammonium, nitrate nitrogen, phosphate phosphorous, potassium, sulphate sulphur, sodium, total nitrogen and total dissolved phosphorous. These data are collected by suction samplers at all of ECN's terrestrial sites using a standard protocol. They represent continuous fortnightly records from 1992 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.
description: Data are collected by suction samplers at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. 

Verification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).

Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
DOI: 10.5285/edfe7080-b9d4-4792-82ef-228ac670211a
title: UK Environmental Change Network (ECN) woodland vegetation data: 1993-2011

description: Woodland vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see Supporting documentation). This survey is conducted when plots surveyed during the coarse-grain survey fall in woodland. Seedlings, diameter at breast height (dbh), height and species dominance are recorded within a surrounding 10m x 10m plot. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.
description: Data are collected at all of ECN's terrestrial sites using a standard protocol (http://www.ecn.ac.uk/measurements/terrestrial/v). This survey is conducted when plots surveyed during the coarse-grain survey fall in woodland. Seedlings, diameter at breast height (dbh), height and species dominance are recorded within a surrounding 10m x 10m plot. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. 

Verification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).

Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
DOI: 10.48597/yx2u-7p5a
title: Measurement of Chlordane at Trollhaugen

description: Measurement of Chlordane at Trollhaugen
DOI: 10.48597/z92s-yu7e
title: Measurement of POPs (persistent organic pollutants) at Trollhaugen

description: Measurement of POPs (persistent organic pollutants) at Trollhaugen
DOI: 10.5285/2ab15bf0-ad08-415c-ba64-831168be7293
title: Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met]

description: Gridded daily meteorological variables over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and air pressure (Pa), plus daily temperature range (K). These are the variables required to run the JULES land surface model with daily disaggregation.

The data are provided in gridded netCDF files. There is one file for each variable for each month of the data set.

This data set supersedes the previous version as temporal coverage has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved.
description: This data set has been generated from a number of meteorological input data sets. The precipitation data were obtained by scaling the CEH-GEAR daily rainfall estimates to the units required for JULES input. Other variables were interpolated from coarser resolution MORECS, CRU TS and WATCH forcing data variables, taking into account topographic information. A full list of input data sources and a description of the methodology are available in the supporting documentation.
DOI: 10.5281/zenodo.13897666
title: DATA_measure and predict the travel time reliability on the urban rail transit network

description: (1)The automatic fare collection data recorded the time of entering and exiting stations for each trip.(2)The automatic fare collection data format is CSV, and the columns of the table are in Chinese. The columns are ticket card number, ticket card type, date, time of entering the station, entering station name, time of exiting the station, exiting station name, and day of the week.
DOI: 10.5281/zenodo.13905251
title: DATA_measure and predict the travel time reliability on the urban rail transit network

description: (1)The automatic fare collection data recorded the time of entering and exiting stations for each trip.(2)The automatic fare collection data format is CSV, and the columns of the table are in Chinese. The columns are ticket card number, ticket card type, date, time of entering the station, entering station name, time of exiting the station, exiting station name, and day of the week.
DOI: 10.82136/dataset/08de6586-fc14-4f69-89fb-27f1e0a2b8da
title: Evdokimos scientific work openalex 20260206

description: Evdokimos Konstantinidis scientific work exported from Openalex. OpenAlex is a fully open, comprehensive catalog of the global research ecosystem that aggregates and standardizes scholarly metadata for publications, authors, institutions, sources (e.g., journals and repositories), and related entities
DOI: 10.5285/9116e565-2c0a-455b-9c68-558fdd9179ad
title: Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2017) [CHESS-PE]

description: Gridded potential evapotranspiration over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2) for a well-watered grass and daily total potential evapotranspiration with interception correction (PETI; kg m-2).

The data are provided in gridded netCDF files. There is one file for each variable for each month of the data set.

This data set supersedes the previous version as bugs in the calculation of the variables have been fixed (for all years), temporal coverage of both variables has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved.
description: This data set is derived from the CHESS-met meteorological variables. The daily total potential evapotranspiration (PET; kg m-2) is calculated using a version of the Penman-Monteith equation parameterised for FAO-defined well-watered grass. The daily total potential evapotranspiration with interception correction (PETI; kg m-2), adds a correction for interception by a well-watered grass on rain days. A description of the methodology is available in the supporting documentation.
DOI: 10.15468/dl.bc7txj
title: Occurrence Download

description: A dataset containing 7943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-117.35468 33.23594,-116.89941 33.59118,-116.79054 33.68182,-116.75095 34.1254,-116.80044 34.37083,-116.95879 34.54221,-118.48297 34.72137,-118.84916 34.67254,-119.11639 34.46064,-119.11639 34.1991,-119.0867 34.08442,-118.81947 34.02702,-118.60173 34.02702,-118.45328 34.00241,-118.39243 33.75608,-118.31631 33.71833,-118.14301 33.74475,-117.35468 33.23594))",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis latrans"
 ]
}

 The dataset includes 7943 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016566-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18417467
title: Operetta Drug Profiling benchmark 10x multiwell plate

description: Example dataset of leukemia cells from a patient-derived xenograft (PDX) model co-cultured with mesenchymal stromal cells. Cells were exposed to a library of drugs (conditions.csv) including standard chemotherapeutics (e.g. vincristine, idarubicin, dexamethasone) and targeted agents (e.g. venetoclax, dasatinib, eltanexor). The cells are stained with a viability dye (CyQuant) and imaged at the PerkinElmer Operetta high-content microscope in 10x magnification.

Used for benchmark workflows of the Fractal platform (https://fractal-analytics-platform.github.io/).
DOI: 10.5281/zenodo.18506825
title: Operetta Drug Profiling benchmark 10x multiwell plate

description: Example dataset of leukemia cells from a patient-derived xenograft (PDX) model co-cultured with mesenchymal stromal cells. Cells were exposed to a library of drugs (conditions.csv) including standard chemotherapeutics (e.g. vincristine, idarubicin, dexamethasone) and targeted agents (e.g. venetoclax, dasatinib, eltanexor). The cells are stained with a viability dye (CyQuant) and imaged at the PerkinElmer Operetta high-content microscope in 10x magnification.

Used for benchmark workflows of the Fractal platform (https://fractal-analytics-platform.github.io/).