cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xpenmb
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paraserianthes lophantha",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 389 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076145-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29696927
title: Research Data for 'A Study of Factors Influencing Educational Achievement of Chamar and Balmiki in Rural Haryana' by Smriti in Journal of Social Inclusion Studies

description: In the contemporary period, one finds tremendous self-awareness and assertion among the Scheduled Castes (S.C.). One also witnesses progressive legislation to extend material support to the Dalits through ‘positive discrimination policy’ of India which provides reservation quota to them in government jobs and educational institutions funded by the state and the central government. The Prevention of Atrocities (PoA) Act, 1989 has also been enacted to extend social justice to the S.C. population against their historical exploitation that is still evident in the society. However, all these measures have failed to bring in the desired effect. Statistics show that even after the existence of ‘positive discrimination policy’, S.C.s still lag behind the general population and in the SC quota, all the castes are not able to reap its benefit equally. The inequality can be seen among different SCs, for example, Chamars or Ad-Dharmis in Punjab, Jatavs in Uttar Pradesh, Malas and Madigas in Andhra Pradesh and Mahars in Maharashtra, among S.C. have taken more benefit from the ‘positive discrimination policy’ of India than the other small castes such as Balmiki and Dhanank, who are still deprived from its benefits.In the backdrop of this problem, two caste groups among S.C. were selected for this study. These two caste groups are Chamar and Balmiki from Nigana village of Rohtak district in Haryana. Nigana is a medium size village with 5000 persons. It is a S.C. dominant village where the population of S.C. is above 40 per cent and in this village, the households of Chamars are more than the households of Balmikis. The main objective of the study was to assess the level of education of Chamar and Balmiki and to comprehend what factors influence the educational achievement, more specifically to understand the reason behind the difference in the educational achievement of the Balmikis and the Chamars of Nigana village. The study also aimed to comprehend how education helps in empowering the two castes inhabiting rural Haryana.
DOI: 10.6084/m9.figshare.29696927.v1
title: Research Data for 'A Study of Factors Influencing Educational Achievement of Chamar and Balmiki in Rural Haryana' by Smriti in Journal of Social Inclusion Studies

description: In the contemporary period, one finds tremendous self-awareness and assertion among the Scheduled Castes (S.C.). One also witnesses progressive legislation to extend material support to the Dalits through ‘positive discrimination policy’ of India which provides reservation quota to them in government jobs and educational institutions funded by the state and the central government. The Prevention of Atrocities (PoA) Act, 1989 has also been enacted to extend social justice to the S.C. population against their historical exploitation that is still evident in the society. However, all these measures have failed to bring in the desired effect. Statistics show that even after the existence of ‘positive discrimination policy’, S.C.s still lag behind the general population and in the SC quota, all the castes are not able to reap its benefit equally. The inequality can be seen among different SCs, for example, Chamars or Ad-Dharmis in Punjab, Jatavs in Uttar Pradesh, Malas and Madigas in Andhra Pradesh and Mahars in Maharashtra, among S.C. have taken more benefit from the ‘positive discrimination policy’ of India than the other small castes such as Balmiki and Dhanank, who are still deprived from its benefits.In the backdrop of this problem, two caste groups among S.C. were selected for this study. These two caste groups are Chamar and Balmiki from Nigana village of Rohtak district in Haryana. Nigana is a medium size village with 5000 persons. It is a S.C. dominant village where the population of S.C. is above 40 per cent and in this village, the households of Chamars are more than the households of Balmikis. The main objective of the study was to assess the level of education of Chamar and Balmiki and to comprehend what factors influence the educational achievement, more specifically to understand the reason behind the difference in the educational achievement of the Balmikis and the Chamars of Nigana village. The study also aimed to comprehend how education helps in empowering the two castes inhabiting rural Haryana.
DOI: 10.15468/dl.mn44mm
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Haliaeetus vocifer)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076147-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an4dk5
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Inga cylindrica"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076149-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqdb3n
title: Occurrence Download

description: A dataset containing 36596441 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 {
 "not" : {
 "PhylumKey" : [
 "is Chordata"
 ]
 }
 },
 "ClassKey is one of (Thaliacea, Ascidiacea, Appendicularia, Leptocardii)"
 ]
 },
 "KingdomKey is Animalia",
 "DatasetKey is one of (University of Texas, Biodiversity Center, Entomology Collection (UTIC), Texas A&M University Insect Collection, iNaturalist Research-grade Observations, NMNH Extant Specimen Records (USNM, US), Museum of Texas Tech University Invertebrate Zoology Collection, UTEP Insects (Arctos), Snow Entomological Museum Collection)",
 "OccurrenceStatus is Present",
 "LastInterpreted is greater than or equal to 2025-07-21"
 ]
}

 The dataset includes 36596441 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076083-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w77247
title: Occurrence Download

description: A dataset containing 31213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ageratum conyzoides"
 ]
}

 The dataset includes 31213 records from 669 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076150-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/tlsdjb
title: THU_U_hour.nc

description: Uploaded with pyDataverse 2025-02-07 00:33
DOI: 10.22008/fk2/iw73uu/twzvpn
title: THU_U_hour.csv

description: Uploaded with pyDataverse 2025-02-07 00:33
DOI: 10.22008/fk2/iw73uu/zt9gvx
title: THU_U_day.nc

description: Uploaded with pyDataverse 2025-02-07 00:33
DOI: 10.22008/fk2/iw73uu/8mtyw0
title: THU_U_day.csv

description: Uploaded with pyDataverse 2025-02-07 00:33
DOI: 10.22008/fk2/iw73uu/okh5xj
title: THU_U_month.nc

description: Uploaded with pyDataverse 2025-02-07 00:34
DOI: 10.22008/fk2/iw73uu/tww5kq
title: THU_L_month.csv

description: Uploaded with pyDataverse 2025-02-07 00:34
DOI: 10.22008/fk2/iw73uu/hwg8ku
title: THU_L_day.nc

description: Uploaded with pyDataverse 2025-02-07 00:34
DOI: 10.22008/fk2/iw73uu/ytfx6p
title: THU_L_hour.nc

description: Uploaded with pyDataverse 2025-02-07 00:34
DOI: 10.22008/fk2/iw73uu/8ouh04
title: THU_L_month.nc

description: Uploaded with pyDataverse 2025-02-07 00:34
DOI: 10.22008/fk2/iw73uu/qjce13
title: THU_L_day.csv

description: Uploaded with pyDataverse 2025-02-07 00:35
DOI: 10.22008/fk2/iw73uu/5gobly
title: THU_L_hour.csv

description: Uploaded with pyDataverse 2025-02-07 00:35
DOI: 10.22008/fk2/iw73uu/ddmrwd
title: NAE_month.csv

description: Uploaded with pyDataverse 2025-02-07 00:35
DOI: 10.22008/fk2/iw73uu/4fxm5o
title: NAE_hour.nc

description: Uploaded with pyDataverse 2025-02-07 00:35
DOI: 10.22008/fk2/iw73uu/q8usrz
title: NAE_hour.csv

description: Uploaded with pyDataverse 2025-02-07 00:35
DOI: 10.22008/fk2/iw73uu/5jptoe
title: NAE_month.nc

description: Uploaded with pyDataverse 2025-02-07 00:36
DOI: 10.22008/fk2/iw73uu/d19bm4
title: NAE_day.nc

description: Uploaded with pyDataverse 2025-02-07 00:36
DOI: 10.22008/fk2/iw73uu/nkcskt
title: NAE_day.csv

description: Uploaded with pyDataverse 2025-02-07 00:36
DOI: 10.22008/fk2/iw73uu/djessi
title: KAN_L_hour.csv

description: Uploaded with pyDataverse 2025-02-07 00:36
DOI: 10.22008/fk2/iw73uu/n8e3xy
title: KAN_L_day.csv

description: Uploaded with pyDataverse 2025-02-07 00:37
DOI: 10.22008/fk2/iw73uu/b9uop5
title: KAN_L_month.csv

description: Uploaded with pyDataverse 2025-02-07 00:37
DOI: 10.22008/fk2/iw73uu/qyzjme
title: KAN_L_month.nc

description: Uploaded with pyDataverse 2025-02-07 00:37
DOI: 10.5281/zenodo.17348359
title: Replication package for "From Sea to Shore: The Impact of Ocean Acidification on Child Health"

description: This package contains the data, programs and instructions to replicate manuscript "From Sea to Shore: The Impact of Ocean Acidification on Child Health" by Alex Armand and  Iván Kim Taveras, forthcoming at JEEA.
DOI: 10.5281/zenodo.17348360
title: Replication package for "From Sea to Shore: The Impact of Ocean Acidification on Child Health"

description: This package contains the data, programs and instructions to replicate manuscript "From Sea to Shore: The Impact of Ocean Acidification on Child Health" by Alex Armand and  Iván Kim Taveras, forthcoming at JEEA.
DOI: 10.6084/m9.figshare.29852285
title: KEGG_build_2025-08-07

description: WARNING! The modules database in this KEGG snapshot is much larger than usual, and hence very slow to access from within anvi'o. Programs like <code>anvi-estimate-metabolism</code> will take much longer when using it.<br>An archived version of the KEGG data directory for use in anvi'o. Can be set up on a computer with an anvi'o installation using the command `anvi-setup-kegg-data --kegg-archive KEGG_build_2025-08-07_66e53d49e65a.tar.gz` (specify a --kegg-data-dir to avoid overriding the default KEGG data directory, if one exists).This KEGG snapshot includes 546 modules, 57 BRITE hierarchies, 1,001 KEGG PATHWAY map images, and 1,315 HMMs for stray KOs (KOs without bit score thresholds provided by KEGG).Contains MODULES.db version 4.<br>Hash value of the database is 66e53d49e65a
DOI: 10.6084/m9.figshare.29852285.v1
title: KEGG_build_2025-08-07

description: WARNING! The modules database in this KEGG snapshot is much larger than usual, and hence very slow to access from within anvi'o. Programs like <code>anvi-estimate-metabolism</code> will take much longer when using it.<br>An archived version of the KEGG data directory for use in anvi'o. Can be set up on a computer with an anvi'o installation using the command `anvi-setup-kegg-data --kegg-archive KEGG_build_2025-08-07_66e53d49e65a.tar.gz` (specify a --kegg-data-dir to avoid overriding the default KEGG data directory, if one exists).This KEGG snapshot includes 546 modules, 57 BRITE hierarchies, 1,001 KEGG PATHWAY map images, and 1,315 HMMs for stray KOs (KOs without bit score thresholds provided by KEGG).Contains MODULES.db version 4.<br>Hash value of the database is 66e53d49e65a
DOI: 10.15468/dl.hrxyzf
title: Occurrence Download

description: A dataset containing 1231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Koelreuteria bipinnata"
 ]
}

 The dataset includes 1231 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023003-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17119622
title: Development of an Earthy-Odor Biosynthetic Gene Database Enhancing Deep Learning–Based Prediction in Aquaculture Systems
DOI: 10.34740/kaggle/dsv/13656802
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17558630
title: Squat Dataset

description: This dataset was developed to support research on automated squat posture classification using pose estimation and ensemble learning methods. The data consist of side-view images of individuals performing squats, categorized into three classes: Good (correct posture), Bad Back (spinal misalignment), and Bad Heel (improper foot positioning). Each image is formatted in a 1:1 aspect ratio to maintain consistency during preprocessing and model training.
DOI: 10.5281/zenodo.17558629
title: Squat Dataset

description: This dataset was developed to support research on automated squat posture classification using pose estimation and ensemble learning methods. The data consist of side-view images of individuals performing squats, categorized into three classes: Good (correct posture), Bad Back (spinal misalignment), and Bad Heel (improper foot positioning). Each image is formatted in a 1:1 aspect ratio to maintain consistency during preprocessing and model training.
DOI: 10.5281/zenodo.17490922
title: The Animal-Welfare Levy

description: This package contains the data, programs and instructions to replicate manuscript The Animal Welfare Levy by Romain Espinosa and Nicolas Treich forthcoming at JEEA
DOI: 10.5281/zenodo.17490923
title: The Animal-Welfare Levy

description: This package contains the data, programs and instructions to replicate manuscript The Animal Welfare Levy by Romain Espinosa and Nicolas Treich forthcoming at JEEA
DOI: 10.5281/zenodo.17558671
title: Deep learning for automated segmentation of central cartilage tumors on MRI
DOI: 10.5281/zenodo.17558670
title: Deep learning for automated segmentation of central cartilage tumors on MRI
DOI: 10.5281/zenodo.17556692
title: GLAM – The Global Impact Assessment Method

description: GLAM is the Global Impact Assessment Method developed via a science-based consensus process within the Life Cycle Initiative hosted by the United Nations Environmental Programme-UNEP. It is a comprehensive, consistent and global Environmental Life Cycle Impact Assessment Method, covering classification, midpoint and damage characterisation, normalisation and weighting, in order to assess the life cycle impacts of products and services on human health, ecosystem quality and socio-economic assets.

This version is a beta version and is not intended to be cited.

08/11/2025: First beta-release of midpoint characterization factors and of updated damage characterization factors
DOI: 10.5281/zenodo.17556693
title: GLAM – The Global Impact Assessment Method

description: GLAM is the Global Impact Assessment Method developed via a science-based consensus process within the Life Cycle Initiative hosted by the United Nations Environmental Programme-UNEP. It is a comprehensive, consistent and global Environmental Life Cycle Impact Assessment Method, covering classification, midpoint and damage characterisation, normalisation and weighting, in order to assess the life cycle impacts of products and services on human health, ecosystem quality and socio-economic assets.

This version is a beta version and is not intended to be cited.

08/11/2025: First beta-release of midpoint characterization factors and of updated damage characterization factors
DOI: 10.5281/zenodo.17558731
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.15468/dl.a3m9eg
title: Occurrence Download

description: A dataset containing 1033139856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "Year 1990-2025"
 ]
}

 The dataset includes 1033139856 records from 32397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022996-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fq4urd
title: Occurrence Download

description: A dataset containing 565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus intactus Vahl"
 ]
}

 The dataset includes 565 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099103-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5qqxe
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycopodium helveticum L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220236-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bqjjz
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lupinus proculaustrinus C.P.Sm."
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015349-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze4wrm
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pseudoboa coronata Schneider, 1801"
 ]
}

 The dataset includes 145 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018522-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhctr3
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Freycinetia spiralis Kaneh."
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220237-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftnd6w
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus atronervatus Boeckeler"
 ]
}

 The dataset includes 21 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099106-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szevap
title: Occurrence Download

description: A dataset containing 211500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1990-2023"
 ]
}

 The dataset includes 211500 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015361-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpueqa
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus blastophorus (Cherm.) Kük."
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099112-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ex8aam
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micropera secunda (Rolfe) Tang & F.T.Wang"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039916-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xx5jxw
title: Occurrence Download

description: A dataset containing 4960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Lepidochelys kempii (Garman, 1880), Lepidochelys kempii Garman, 1880)"
 ]
}

 The dataset includes 4960 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220245-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjk79h
title: Occurrence Download

description: A dataset containing 61078541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Poales"
 ]
}

 The dataset includes 61078541 records from 6660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015348-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.