cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5q634n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-135 37.5,-127.5 37.5,-127.5 45,-135 45,-135 37.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043607-251009101135966/datasets/export for details.
DOI: 10.15468/dl.tvkfec
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xanthium spinosum",
 "HasCoordinate is true",
 "Country is Namibia"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043608-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.21771.16164
title: PlaceAttachmentData
DOI: 10.13140/rg.2.2.36451.22562
title: Announcement of the fourth session of the Creative Dialogue Series, 'Love (Chesed)', 20 April 2022, 19-20:30h CET
DOI: 10.13140/rg.2.2.11128.11524
title: Jacket (Design patent RU 2021504955) - a digital reconstruction
DOI: 10.13140/rg.2.2.28744.19209
title: Dress #3 (La Dame à la licorne) - a digital reconstruction
DOI: 10.15468/dl.wjq7d2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-142.5 37.5,-135 37.5,-135 45,-142.5 45,-142.5 37.5))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043606-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/u3s7gu
title: Données naturalistes opportunistes issues de la plateforme INaturalist-Données naturalistes opportunistes "lyndseysmith"

description: Données naturalistes opportunistes saisies sur iNaturalist à partir du compte "lyndseysmith"
DOI: 10.13140/rg.2.2.12006.29763
title: How and when does exploitative leadership influence employee silence
DOI: 10.13140/rg.2.2.16410.31686
title: Elder Abuse Statistics in Queensland: Executive Summary 2020–21
DOI: 10.13140/rg.2.2.33816.67840
title: How and when does exploitative leadership influence employee silence
DOI: 10.15468/dl.m742e5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arachnida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-97.5 -52.5,-90 -52.5,-90 -45,-97.5 -45,-97.5 -52.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043605-251009101135966/datasets/export for details.
DOI: 10.15468/dl.hgzdmz
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.23.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 141 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002660-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5522/04/28053353
title: Growth Monitoring Study (GMS) dataset for the analysis on the determinants of infant growth in a birth cohort in the Nepal plains

description: This dataset supports a publication on the determinants of infant growth in a birth cohort in the Nepal plains.This study aimed to identify the determinants of infant growth in terms of length-for-age z-score (LAZ) in a birth cohort (<i>n</i>=602) in the plains of Nepal. Children were enrolled within 72 hours of birth and followed-up every 28 days until they were 2 years. We fitted mixed-effects linear regression models controlling for multiple measurements within individuals to examine the impact of household and maternal factors, feeding practices and infection on infant LAZ. We conducted separate analyses for the age periods 0-6 months (exclusive breastfeeding period) and 7-24 months (complementary feeding period) to check whether the importance of determinants differed by child age.The data are useful to those seeking to understand the factors associated with longitudinal changes in nutritional status in children from birth to 2 years in the plains of Nepal.
DOI: 10.5522/04/28053353.v2
title: Growth Monitoring Study (GMS) dataset for the analysis on the determinants of infant growth in a birth cohort in the Nepal plains

description: This dataset supports a publication on the determinants of infant growth in a birth cohort in the Nepal plains.This study aimed to identify the determinants of infant growth in terms of length-for-age z-score (LAZ) in a birth cohort (<i>n</i>=602) in the plains of Nepal. Children were enrolled within 72 hours of birth and followed-up every 28 days until they were 2 years. We fitted mixed-effects linear regression models controlling for multiple measurements within individuals to examine the impact of household and maternal factors, feeding practices and infection on infant LAZ. We conducted separate analyses for the age periods 0-6 months (exclusive breastfeeding period) and 7-24 months (complementary feeding period) to check whether the importance of determinants differed by child age.The data are useful to those seeking to understand the factors associated with longitudinal changes in nutritional status in children from birth to 2 years in the plains of Nepal.
DOI: 10.5522/04/28053353.v1
title: Growth Monitoring Study (GMS) dataset for the analysis on the determinants of infant growth in a birth cohort in the Nepal plains

description: This dataset supports a publication on the determinants of infant growth in a birth cohort in the Nepal plains.This study aimed to identify the determinants of infant growth in terms of length-for-age z-score (LAZ) in a birth cohort (<i>n</i>=602) in the plains of Nepal. Children were enrolled within 72 hours of birth and followed-up every 28 days until they were 2 years. We fitted mixed-effects linear regression models controlling for multiple measurements within individuals to examine the impact of household and maternal factors, feeding practices and infection on infant LAZ. We conducted separate analyses for the age periods 0-6 months (exclusive breastfeeding period) and 7-24 months (complementary feeding period) to check whether the importance of determinants differed by child age.The data are useful to those seeking to understand the factors associated with longitudinal changes in nutritional status in children from birth to 2 years in the plains of Nepal.
DOI: 10.15468/dl.qjzczg
title: Occurrence Download

description: A dataset containing 473084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Depth 0.0-9999.0m",
 "Geometry POLYGON((72.5 -11.5,141 -11.5,141 22.5,72.5 22.5,72.5 -11.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1000-2025"
 ]
}

 The dataset includes 473084 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002655-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xegezy
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Projet de renouvellement et d'extension de la carrière de kaolin dite \"de Beauvoir\" - Données brutes de biodiversité",
 "IucnRedListCategory is one of (CR, EN, VU, NT)"
 ]
}

 The dataset includes 28 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002661-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14870605
title: Data from Phenocam (PHE) measurements at Bristol – University of Bristol, Faculty of Engineering (BRENGI) from 2024-07-24 to 2024-12-31 [RAW]

description: Original phenocam images separated into near-infrared (NIR) and visible (VIS).
description: TECHNICAL INFO

Files were submitted and recorded as part of the global Phenocam Network with the site name "rothberurb". Access to the "rothberurb" phenocam on the global phenocam network through: https://phenocam.nau.edu/webcam/sites/bristoluni/

Files are organised in sub-directories per year and month of the year.

LICENSE

Creative Commons Attribution 4.0 International. 

Please read the Phenocam Fair Use Policy.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

Data were managed and attributed by the PhenoCam Network, which has been supported by the National Science Foundation, the Long-Term Agroecosystem Research (LTAR) network which is supported by the United States Department of Agriculture (USDA), the U.S. Department of Energy, the U.S. Geological Survey, the Northeastern States Research Cooperative, and the USA National Phenology Network. 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project

Global Phenocam Network
DOI: 10.5281/zenodo.14870606
title: Data from Phenocam (PHE) measurements at Bristol – University of Bristol, Faculty of Engineering (BRENGI) from 2024-07-24 to 2024-12-31 [RAW]

description: Original phenocam images separated into near-infrared (NIR) and visible (VIS).
description: TECHNICAL INFO

Files were submitted and recorded as part of the global Phenocam Network with the site name "rothberurb". Access to the "rothberurb" phenocam on the global phenocam network through: https://phenocam.nau.edu/webcam/sites/bristoluni/

Files are organised in sub-directories per year and month of the year.

LICENSE

Creative Commons Attribution 4.0 International. 

Please read the Phenocam Fair Use Policy.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

Data were managed and attributed by the PhenoCam Network, which has been supported by the National Science Foundation, the Long-Term Agroecosystem Research (LTAR) network which is supported by the United States Department of Agriculture (USDA), the U.S. Department of Energy, the U.S. Geological Survey, the Northeastern States Research Cooperative, and the USA National Phenology Network. 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project

Global Phenocam Network
DOI: 10.15468/dl.aww9pa
title: Occurrence Download

description: A dataset containing 253314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crocodylia"
 ]
}

 The dataset includes 253314 records from 586 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002624-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds005920.v1.0.1
title: A naturalistic fMRI dataset in response to puclic speaking
DOI: 10.15468/dl.6ska6m
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysosplenium maximowiczii Franch. & Sav."
 ]
}

 The dataset includes 335 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002662-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3n8we
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Diplodia seriata De Not."
 ]
}

 The dataset includes 156 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002663-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q25dyx
title: Occurrence Download

description: A dataset containing 958 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alnus trabeculosa Hand.-Mazz."
 ]
}

 The dataset includes 958 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002665-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kybjkq
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "DatasetKey is Australian Tropical Herbarium (CNS) AVH data",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Garcinia mangostana L."
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002666-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4pdxh
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysosplenium nagasei Wakab. & H.Ohba"
 ]
}

 The dataset includes 55 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002667-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14871035
title: RCI5_Woodcarving_Ego02

description: Dataset for RCI5_Woodcarving_Ego02
DOI: 10.5281/zenodo.14871036
title: RCI5_Woodcarving_Ego02

description: Dataset for RCI5_Woodcarving_Ego02
DOI: 10.6084/m9.figshare.28427864
title: Triplefin parasite diversity and size full data.xlsx

description: The full dataset for the article titled: Unravelling Hidden Battles: Genetic Insights into Parasite Diversity and Competition in Mottled Triplefin (<i>Forsterygion capito</i>)
DOI: 10.57745/fadahh
title: merged_data.tab

description: :unav
DOI: 10.57745/fkpwky
title: agribalyse.tab

description: :unav
DOI: 10.57745/nr6pid
title: prog.R

description: :unav
DOI: 10.57745/o9rndl
title: ciqual_en.tab

description: :unav
DOI: 10.57745/sxdkek
title: ciqual_ffq.tab

description: :unav
DOI: 10.57745/t6zbix
title: questionnaire.tab

description: :unav
DOI: 10.57745/u0zyxs
title: prog.R

description: :unav
DOI: 10.57745/xcqptj
title: supply_data.tab

description: :unav
DOI: 10.57745/zuvgvt
title: taste.tab

description: :unav
DOI: 10.5281/zenodo.14881428
title: Decoding E-Commerce Research
DOI: 10.5281/zenodo.14881429
title: Decoding E-Commerce Research
DOI: 10.15468/dl.6wudyw
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysosplenium nepalense D.Don"
 ]
}

 The dataset includes 304 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002668-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u235cm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((17.627004014227932 -29.98531149056787,18.198128722109377 -29.98531149056787,18.198128722109377 -29.414186782686425,17.627004014227932 -29.414186782686425,17.627004014227932 -29.98531149056787))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxalis obliquifolia Steud. ex A.Rich."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002669-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/17091504-6005-4ae0-8a30-468675f09d3c
title: Tribler Learning-to-Rank Dataset

description: The Tribler Learning-to-Rank (LTR) Dataset is a collection of feature vectors derived from a decentralized search engine conducted within the Tribler peer-to-peer file-sharing network. This dataset was created to train and evaluate DART, an LTR-based algorithm for relevance ranking in decentralized file-sharing systems.The dataset supports research into decentralized search and ranking techniques by providing feature vectors extracted from real user interactions. It allows researchers to develop, validate, and compare LTR models for the decentralized setting.<br>This dataset comprises rows containing a binary relevance judgment, a query ID, and 31 normalized features.<br>Example:```1 qid:8030 0:0.311253027575435 1:0.3623667000954467 2:0.2640038215062309 3:0.2908247887862055 4:0.0583718121596237 5:-0.18465409343274 6:1.327852667807301 7:1.315861763360352 8:1.509079253500692 9:-0.1600325676141462 10:-0.5992397181984241 11:0.5291165364861627 12:0.4186126253353217 13:0.4601304198871708 14:0.2818017229171959 15:-0.237928002400229 16:0.1731179222782891 17:0.0738413823487902 18:0.3099197449886553 19:0.1805433703801239 20:0.1158592011796661 21:-0.665142871178777 22:0.3328536662895701 23:0.2948988525040041 24:0.7315729714005331 25:-0.6902133277846004 26:2.62527037747493 27:-0.3083199080468793 28:0.5082540870914015 29:-1.084397975003081 30:-5.408917243099888<br>0 qid:8030 0:0.2625962288699837 1:0.3623667000954467 2:0.2640038215062309 3:0.2908247887862055 4:0.0583718121596237 5:-0.18465409343274 6:1.327852667807301 7:1.315861763360352 8:1.509079253500692 9:-0.1600325676141462 10:-0.5992397181984241 11:0.5291165364861627 12:0.4186126253353217 13:0.4601304198871708 14:0.2818017229171959 15:-0.237928002400229 16:0.1994409565033298 17:0.0738413823487902 18:0.3099197449886553 19:0.02724546833125713 20:0.4530615272328508 21:-0.665142871178777 22:0.3328536662895701 23:0.2948988525040041 24:0.6189088582085388 25:-0.6902133277846004 26:-0.3433711973076669 27:-0.3083199080468793 28:0.5082540870914015 29:-1.637896085379517 30:-2.427152848520973```<br>Please cite the following article when using this dataset:**to be added**
DOI: 10.4121/17091504-6005-4ae0-8a30-468675f09d3c.v1
title: Tribler Learning-to-Rank Dataset

description: The Tribler Learning-to-Rank (LTR) Dataset is a collection of feature vectors derived from a decentralized search engine conducted within the Tribler peer-to-peer file-sharing network. This dataset was created to train and evaluate DART, an LTR-based algorithm for relevance ranking in decentralized file-sharing systems.The dataset supports research into decentralized search and ranking techniques by providing feature vectors extracted from real user interactions. It allows researchers to develop, validate, and compare LTR models for the decentralized setting.<br>This dataset comprises rows containing a binary relevance judgment, a query ID, and 31 normalized features.<br>Example:```1 qid:8030 0:0.311253027575435 1:0.3623667000954467 2:0.2640038215062309 3:0.2908247887862055 4:0.0583718121596237 5:-0.18465409343274 6:1.327852667807301 7:1.315861763360352 8:1.509079253500692 9:-0.1600325676141462 10:-0.5992397181984241 11:0.5291165364861627 12:0.4186126253353217 13:0.4601304198871708 14:0.2818017229171959 15:-0.237928002400229 16:0.1731179222782891 17:0.0738413823487902 18:0.3099197449886553 19:0.1805433703801239 20:0.1158592011796661 21:-0.665142871178777 22:0.3328536662895701 23:0.2948988525040041 24:0.7315729714005331 25:-0.6902133277846004 26:2.62527037747493 27:-0.3083199080468793 28:0.5082540870914015 29:-1.084397975003081 30:-5.408917243099888<br>0 qid:8030 0:0.2625962288699837 1:0.3623667000954467 2:0.2640038215062309 3:0.2908247887862055 4:0.0583718121596237 5:-0.18465409343274 6:1.327852667807301 7:1.315861763360352 8:1.509079253500692 9:-0.1600325676141462 10:-0.5992397181984241 11:0.5291165364861627 12:0.4186126253353217 13:0.4601304198871708 14:0.2818017229171959 15:-0.237928002400229 16:0.1994409565033298 17:0.0738413823487902 18:0.3099197449886553 19:0.02724546833125713 20:0.4530615272328508 21:-0.665142871178777 22:0.3328536662895701 23:0.2948988525040041 24:0.6189088582085388 25:-0.6902133277846004 26:-0.3433711973076669 27:-0.3083199080468793 28:0.5082540870914015 29:-1.637896085379517 30:-2.427152848520973```<br>Please cite the following article when using this dataset:**to be added**
DOI: 10.15468/dl.6bms6a
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((17.627004014227932 -29.98531149056787,18.198128722109377 -29.98531149056787,18.198128722109377 -29.414186782686425,17.627004014227932 -29.414186782686425,17.627004014227932 -29.98531149056787))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxalis obliquifolia Steud. ex A.Rich."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002670-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyy22c
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysosplenium nudicaule Bunge"
 ]
}

 The dataset includes 276 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002671-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.