cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29060751
title: Additional file 2 of Utilizing Nanopore direct RNA sequencing of blood from patients with sepsis for discovery of co- and post-transcriptional disease biomarkers

description: Additional File 2: Tables. Supporting supplementary tables 1-10.
DOI: 10.6084/m9.figshare.29060751.v1
title: Additional file 2 of Utilizing Nanopore direct RNA sequencing of blood from patients with sepsis for discovery of co- and post-transcriptional disease biomarkers

description: Additional File 2: Tables. Supporting supplementary tables 1-10.
DOI: 10.6084/m9.figshare.29177007
title: Additional file 1 of Exploring urban garden ponds: considering chemical pollution as a limiting factor for insect diversity in cities

description: Supplementary material 1. Table with detailed information on all studied garden ponds, considering the estimated volume, maximum depth, pond material, installed pond gear, observations of animals and plants and a general description with further observations.
DOI: 10.6084/m9.figshare.29177007.v1
title: Additional file 1 of Exploring urban garden ponds: considering chemical pollution as a limiting factor for insect diversity in cities

description: Supplementary material 1. Table with detailed information on all studied garden ponds, considering the estimated volume, maximum depth, pond material, installed pond gear, observations of animals and plants and a general description with further observations.
DOI: 10.6084/m9.figshare.29177013.v1
title: Additional file 3 of Exploring urban garden ponds: considering chemical pollution as a limiting factor for insect diversity in cities

description: Supplementary material 3. List of targeted substances and their measured concentrations in ng per mL pond water. Two controls were measured containing extracted ultrapure TKA water. Substances that were detected in both controls and were in the same concentration range as the samples were excluded from analysis. Each substance was assigned to a substance class.
DOI: 10.6084/m9.figshare.29177013
title: Additional file 3 of Exploring urban garden ponds: considering chemical pollution as a limiting factor for insect diversity in cities

description: Supplementary material 3. List of targeted substances and their measured concentrations in ng per mL pond water. Two controls were measured containing extracted ultrapure TKA water. Substances that were detected in both controls and were in the same concentration range as the samples were excluded from analysis. Each substance was assigned to a substance class.
DOI: 10.6084/m9.figshare.29177022
title: Additional file 2 of Defining three dimensional chromatin structures of pediatric and adolescent B cells using primary B cell and EBV-immortalized B cell reference genomes

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.29177022.v1
title: Additional file 2 of Defining three dimensional chromatin structures of pediatric and adolescent B cells using primary B cell and EBV-immortalized B cell reference genomes

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.29177025
title: Additional file 3 of Defining three dimensional chromatin structures of pediatric and adolescent B cells using primary B cell and EBV-immortalized B cell reference genomes

description: Supplementary Material 3.
DOI: 10.15468/dl.ccg3y7
title: Occurrence Download

description: A dataset containing 1103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Geometry POLYGON((124.64884 39.92658,125.01727 40.58777,125.96362 40.74729,126.57244 41.50787,128.14617 41.7125,129.55931 42.41495,130.26728 42.82636,131.12256 42.92665,131.25941 43.77247,130.84887 44.9707,131.841 45.11574,133.10683 45.21223,134.2358 47.13095,134.60636 47.80164,134.47528 48.71271,132.21733 47.80164,130.98572 48.00805,131.15678 48.57708,129.75411 49.45214,127.97511 49.89493,126.77771 51.9223,125.42938 53.13585,125 53,123.39078 53.61927,120.52524 53.52797,120.12692 52.78404,120.71157 52.25907,119.85592 51.39981,118.79347 49.95404,117.01442 49.72411,115.76837 50.18288,116.25056 49.28422,115.96534 48.8169,115.50187 47.84515,117.25818 47.67738,118.16755 48.08548,119.31664 47.26771,119.96774 46.70835,117.686 46.58598,115.76079 45.62195,113.55036 44.91943,111.87807 45.20604,111.61821 44.49988,112.19906 43.76827,115.38163 43.73778,112.8669 43.31279,111.97468 42.76895,113.40302 43.04868,111.89914 42.2477,113.95345 42.0282,114.26511 42.06126,115.06651 41.99511,116.77796 41.94876,117.00674 41.85289,117.57614 41.84907,118.78002 42.06441,119.56745 41.75599,120.93509 41.35281,121.01798 40.9601,121.32751 40.85091,122.11109 40.64163,121.17182 38.82811,122.26163 39.00825,124.64884 39.92658))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ribes diacantha f. weichangense J.X.Huang & J.Z.Wang, Ribes dikuscha Fisch. ex Turcz., Ribes giraldii var. cuneatum F.T.Wang & S.X.Li, Ribes giraldii var. polyanthum Kitag., Ribes heterotrichum C.A.Mey., Ribes komarovii Pojark., Ribes komarovii var. cuneifolium Liou, Ribes maximowiczianum Kom., Ribes pulchellum Turcz., Ribes pulchellum var. manshuriense Wang & Li, Ribes saxatile Pall., Ribes altissimum (Jancz.) Turcz. ex Pojark., Ribes ambiguum Maxim., Ribes atropurpureum C.A.Mey., Ribes latifolium Jancz., Ribes mandshuricum (Maxim.) Kom., Ribes mandshuricum var. subglabrum Kom., Ribes meyeri Maxim., Ribes palczewskii (Jancz.) Pojark., Ribes pallidiflorum Pojark., Ribes triste Pall., Ribes triste var. repens (A.I.Baranov) L.T.Lu, Ribes fontaneum Bochkarn., Ribes graveolens Bunge, Ribes japonicum Maxim., Ribes nigrum L., Ribes procumbens Pall., Ribes burejense F.Schmidt, Ribes burejense var. villosum L.T.Lu, Ribes fujisanense S.Sakag. & M.Oishi, Ribes sinanense F.Maek., Ribes fasciculatum var. chinense Maxim., Ribes horridum Rupr. ex Maxim., Ribes sachalinense (F.Schmidt) Nakai)"
 ]
}

 The dataset includes 1103 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011193-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48339/2015--k98p2
title: Perceived Academic Demands, Peer and Teacher Relationships,Stress, Anxiety and Mental Health: Changes from Grade 6 to 9 as aFunction of Gender and Cognitive Ability

description: U98
DOI: 10.15468/dl.yxh9a3
title: Occurrence Download

description: A dataset containing 15510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "StateProvince is one of (Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia, West Virginia)",
 "FamilyKey is one of (Ixodidae, Argasidae)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15510 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011191-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11868835
title: World Stock Prices ( Daily Updating )
DOI: 10.15468/dl.pr9v2p
title: Occurrence Download

description: A dataset containing 24909 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 GBIF_EEARGCODE(10000, decimallatitude, decimallongitude, COALESCE(coordinateuncertaintyinmeters, 1000)) eeacellcode,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (occurrence.taxonkey = 4532122 OR occurrence.acceptedtaxonkey = 4532122 OR occurrence.kingdomkey = 4532122 OR occurrence.phylumkey = 4532122 OR occurrence.classkey = 4532122 OR occurrence.orderkey = 4532122 OR occurrence.familykey = 4532122 OR occurrence.genuskey = 4532122 OR occurrence.specieskey = 4532122)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 GBIF_EEARGCODE(10000, decimallatitude, decimallongitude, COALESCE(coordinateuncertaintyinmeters, 1000))

 The dataset's 24909 records were derived from 519 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006683-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3d968
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.49883 -64.77924,103.39337 -64.77924,103.39337 -39.00527,5.49883 -39.00527,5.49883 -64.77924))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Moruloidea darwinii (Cunningham, 1871)"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006697-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48pqh4
title: Occurrence Download

description: A dataset containing 21063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Microgramma C.Presl"
 ]
}

 The dataset includes 21063 records from 364 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006698-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fewhd
title: Occurrence Download

description: A dataset containing 1442 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoring of reef fish abundance in the Tsitsikamma National Park using stereo-BRUVs"
 ]
}

 The dataset includes 1442 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006699-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15462172
title: EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
DOI: 10.5281/zenodo.15462173
title: EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
DOI: 10.4121/7b45bcc6-686b-404d-a910-13c87156716a.v2
title: Data underlying the publication: Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model

description: <strong>Overview</strong>Here we provide outputs of the global simulation of water footprints of crops with a process-based gridded crop model ACEA (see model description in the references). The model is based on FAO’s AquaCrop and covers 175 widely-grown crops in the 1990–2019 period at a 5 arcminute resolution (10 x 10 km). We partition water footprints into green (water from precipitation) and blue (from irrigation or capillary rise) and differentiate between rainfed and irrigated production systems. The outputs cover several variables, including unit water footprints (expressed in m<sup>3</sup> t<sup>-1</sup> yr<sup>-1</sup>), water footprints of crop production (m<sup>3</sup> yr<sup>-1</sup>), and crop water use (mm yr<sup>-1</sup>). For more information on methods, input data, validation, and uncertainties please refer to the corresponding data descriptor paper published in Scientific Data: doi.org/10.1038/s41597-024-03051-3 This dataset includes global gridded datasets (NetCDF4 files) and summary datasheets for national and global values (CSV files). For more information on each provided file, please refer to <em style="background-color:rgb(255, 250, 234);">readme.pdf</em> <strong>Version History</strong>2024-02-28 (v2): national and global average values over 2010–2019 are added (2 new CSV files) to provide representative data for the current state of water footprints2023-08-16 (v1): the dataset is uploaded for the first time <strong>Citation</strong>To cite the dataset, you can refer to doi.org/10.1038/s41597-024-03051-3 or to doi.org/10.4121/7b45bcc6-686b-404d-a910-13c87156716a or to both (if you want to improve citation index of the authors)
DOI: 10.4121/7b45bcc6-686b-404d-a910-13c87156716a
title: Data underlying the publication: Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model

description: <strong>Overview</strong>Here we provide outputs of the global simulation of water footprints of crops with a process-based gridded crop model ACEA (see model description in the references). The model is based on FAO’s AquaCrop and covers 175 widely-grown crops in the 1990–2019 period at a 5 arcminute resolution (10 x 10 km). We partition water footprints into green (water from precipitation) and blue (from irrigation or capillary rise) and differentiate between rainfed and irrigated production systems. The outputs cover several variables, including unit water footprints (expressed in m<sup>3</sup> t<sup>-1</sup> yr<sup>-1</sup>), water footprints of crop production (m<sup>3</sup> yr<sup>-1</sup>), and crop water use (mm yr<sup>-1</sup>). For more information on methods, input data, validation, and uncertainties, please refer to the corresponding data descriptor paper published in Nature Scientific Data: doi.org/10.1038/s41597-024-03051-3<br>This dataset includes global gridded datasets (NetCDF4 files) and summary datasheets for national and global values (CSV files). For more information on each provided file, please refer to <em>readme.pdf</em><br><strong>Citation</strong>To cite the dataset, please refer to doi.org/10.1038/s41597-024-03051-3<br><strong>Version History</strong>2025-05-16 (v3): new files added to provide <strong>global gridded datasets for all individual crops & years</strong>: &gt;<em> unit_wf_175_crops_annual_1990_2019.zip </em>– unit water footprints per crop in 1990–2019 for all combinations of production systems (rainfed, irrigated, total) with water types (green, blue, total) &gt;<em> cwu_175_crops_annual_1990_2019.zip </em>– same but for crop water use &gt;<em> harvested_area_175_crops_annual_1990_2019.zip </em>– rainfed, irrigated, and total harvested areas per crop in 1990–2019 &gt;<em> production_175_crops_annual_1990_2019.zip </em>– same but for crop production &gt;<em> classification_of_175_crops.csv </em>– crop classification for user convenience, based on FAOSTAT<br>2024-02-28 (v2): new files added to provide <strong>representative data for the current state of water footprints</strong>: &gt;<em> global_wf_175_crops_average_2010_2019.csv </em>– global average values per crop over 2010–2019 &gt;<em> national_wf_175_crops_average_2010_2019.csv </em>– same but for individual countries <br>2023-08-16 (v1): dataset uploaded for the first time (as described in the data descriptor paper)
DOI: 10.4121/7b45bcc6-686b-404d-a910-13c87156716a.v1
title: Data underlying the publication: Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model

description: Here we provide outputs of the global simulation of crop water footprints (WFs) with a process-based gridded crop model ACEA (see model description in references). The model is based on FAO’s AquaCrop and covers 175 widely-grown crops in the 1990–2019 period at a 5 arcminute resolution. We partition WFs into green (water from precipitation) and blue (from irrigation or capillary rise) and differentiate between rainfed and irrigated production systems. The outputs include gridded datasets (NetCDF4 files) and national averages (CSV file) for unit water footprints (expressed in m<sup>3</sup> t<sup>-1</sup> yr<sup>-1</sup>), water footprints of production (m<sup>3</sup> yr<sup>-1</sup>), and crop water use (mm yr<sup>-1</sup>). The DOI of the related data descriptor paper will be added once published.<br>For more information on each dataset, please refer to the attached readme.pdf
DOI: 10.4121/7b45bcc6-686b-404d-a910-13c87156716a.v3
title: Data underlying the publication: Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model

description: <strong>Overview</strong>Here we provide outputs of the global simulation of water footprints of crops with a process-based gridded crop model ACEA (see model description in the references). The model is based on FAO’s AquaCrop and covers 175 widely-grown crops in the 1990–2019 period at a 5 arcminute resolution (10 x 10 km). We partition water footprints into green (water from precipitation) and blue (from irrigation or capillary rise) and differentiate between rainfed and irrigated production systems. The outputs cover several variables, including unit water footprints (expressed in m<sup>3</sup> t<sup>-1</sup> yr<sup>-1</sup>), water footprints of crop production (m<sup>3</sup> yr<sup>-1</sup>), and crop water use (mm yr<sup>-1</sup>). For more information on methods, input data, validation, and uncertainties, please refer to the corresponding data descriptor paper published in Nature Scientific Data: doi.org/10.1038/s41597-024-03051-3<br>This dataset includes global gridded datasets (NetCDF4 files) and summary datasheets for national and global values (CSV files). For more information on each provided file, please refer to <em>readme.pdf</em><br><strong>Citation</strong>To cite the dataset, please refer to doi.org/10.1038/s41597-024-03051-3<br><strong>Version History</strong>2025-05-16 (v3): new files added to provide <strong>global gridded datasets for all individual crops & years</strong>: &gt;<em> unit_wf_175_crops_annual_1990_2019.zip </em>– unit water footprints per crop in 1990–2019 for all combinations of production systems (rainfed, irrigated, total) with water types (green, blue, total) &gt;<em> cwu_175_crops_annual_1990_2019.zip </em>– same but for crop water use &gt;<em> harvested_area_175_crops_annual_1990_2019.zip </em>– rainfed, irrigated, and total harvested areas per crop in 1990–2019 &gt;<em> production_175_crops_annual_1990_2019.zip </em>– same but for crop production &gt;<em> classification_of_175_crops.csv </em>– crop classification for user convenience, based on FAOSTAT<br>2024-02-28 (v2): new files added to provide <strong>representative data for the current state of water footprints</strong>: &gt;<em> global_wf_175_crops_average_2010_2019.csv </em>– global average values per crop over 2010–2019 &gt;<em> national_wf_175_crops_average_2010_2019.csv </em>– same but for individual countries <br>2023-08-16 (v1): dataset uploaded for the first time (as described in the data descriptor paper)
DOI: 10.15468/dl.neyy4d
title: Occurrence Download

description: A dataset containing 20065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.92444 43.68923,3.99044 43.68923,3.99044 43.71709,3.92444 43.71709,3.92444 43.68923))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 20065 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006700-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.menjry
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Microgynoecium Hook.f."
 ]
}

 The dataset includes 156 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006702-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrngfm
title: Occurrence Download

description: A dataset containing 1158 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is KwaZulu-Natal Museum-Crustacea-collection"
 ]
}

 The dataset includes 1158 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006704-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6jvgr
title: Occurrence Download

description: A dataset containing 114778152 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 114778152 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006632-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc4n96
title: Occurrence Download

description: A dataset containing 1417 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea hispida Dennst."
 ]
}

 The dataset includes 1417 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006703-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ffmsv
title: Occurrence Download

description: A dataset containing 1634405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 1634405 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006686-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uz8fat
title: Occurrence Download

description: A dataset listing the 3312 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((120.23579 20.30967,122.70398 20.78185,123.90632 23.83712,123.45515 25.45322,122.1547 25.88379,121.59737 25.35733,121.75661 24.4909,121.38505 23.32633,120.80118 22.44613,120.23579 20.30967))",
 "Geometry POLYGON((120.75566 20.63873,120.80976 21.98366,120.74559 22.54776,120.23228 23.25703,120.84184 24.48916,121.90055 25.18789,121.86846 25.99804,121.35515 26.19972,120.1461 25.53577,118.44576 23.72779,116.80958 22.39954,118.7345 19.55412,120.75566 20.63873))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mollusca"
 ]
}

 The dataset's 3312 records were derived from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006696-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.