cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18167/dvn1/nzhwqq
title: CLIFS 2021 (Crop LIvestock Farm Simulator)

description: Outil de simulation des exploitations de polyculture-élevage développé sous Excel® et visant à accompagner les producteurs dans leurs réflexions sur l'évolution stratégique de leurs systèmes de production. Peut également être utilisé en formation initiale et continue sur le thème de la polyculture-élevage, et par les chercheurs pour évaluer ex-ante les conséquences possibles d'innovations sur des exploitations réelles ou virtuelles. A également été utilisé pour représenter des bassins de collecte laitier (https://agritrop.cirad.fr/596838/). A simulation tool dedicated to mixed crop-livestock farms and developed under Excel® to support farmers in their reflections on the strategic evolution of their production systems. It can also be used in initial and continuing training on the theme of mixed crop-livestock systems, and by researchers to evaluate ex-ante the possible consequences of innovations on real or virtual farms. It has also been used to represent dairy supply areas.
DOI: 10.34816/ifao.archives.218920
title: FONDS SERGE SAUNERON_nb_1965_03333

description: Référence : nb_1965_03333<br />Site : Esna<br />Secteur : Mur extérieur ouest (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.25549/pcra-c14-36917
title: Lam Jeevaratnum, India, 1941-1960

description: [description english/roman)] Photos & correspondence from Eastern Full Gospel Mission; newspaper cuttings; Before Kingslife story of Lam Jeevaratnum.
DOI: 10.34816/ifao.archives.218921
title: FONDS SERGE SAUNERON_nb_1965_03334

description: Référence : nb_1965_03334<br />Site : Esna<br />Secteur : Mur extérieur ouest (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.3tyu7j
title: Occurrence Download

description: A dataset containing 3299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 3299 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148837-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ur3rt
title: Occurrence Download

description: A dataset containing 148426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinanthus minor L.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 148426 records from 466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251445-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17877365
title: Glycolipid recognition and binding by Siglec-6 hinges on interactions with the cell membrane
DOI: 10.5281/zenodo.17877366
title: Glycolipid recognition and binding by Siglec-6 hinges on interactions with the cell membrane
DOI: 10.15468/dl.8fjuz7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.402 -3.327833, 102.331619 -3.333397, 102.262968 -3.349953, 102.197736 -3.377093, 102.137527 -3.41415, 102.083823 -3.460213, 102.037945 -3.514148, 102.001024 -3.57463, 101.973968 -3.640169, 101.957447 -3.709152, 101.95187 -3.779883, 101.957375 -3.850619, 101.973831 -3.919619, 102.000835 -3.985183, 102.037723 -4.045697, 102.08359 -4.099668, 102.137306 -4.145766, 102.197547 -4.182855, 102.262831 -4.210021, 102.331547 -4.226593, 102.402 -4.232163, 102.472453 -4.226593, 102.541169 -4.210021, 102.606453 -4.182855, 102.666694 -4.145766, 102.72041 -4.099668, 102.766277 -4.045697, 102.803165 -3.985183, 102.830169 -3.919619, 102.846625 -3.850619, 102.85213 -3.779883, 102.846553 -3.709152, 102.830032 -3.640169, 102.802976 -3.57463, 102.766055 -3.514148, 102.720177 -3.460213, 102.666473 -3.41415, 102.606264 -3.377093, 102.541032 -3.349953, 102.472381 -3.333397, 102.402 -3.327833))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045205-251120083545085/datasets/export for details.
DOI: 10.25383/city.30850442
title: HEALTHEI Media Analysis Supplementary Materials 1 and 2

description: Analysis of media coverage of food tax debates is limited, with most focusing on taxation of sugar sweetened beverages (SSBs). This study explored UK media coverage of food tax debates, extending beyond SSBs to other food products. We investigated trends in media coverage and how the UK media presented anti- and pro-tax arguments. A mixed-methods content analysis of eight UK news publishers between 2017 and 2023 was undertaken. Articles (n=369) were coded to identify publishers, food product types, and tax types. Coverage was mapped by date, by food product, and by publisher. The article sample was refined to exclude taxes related to the UK Soft Drinks Industry Levy, and remaining articles were analyzed for argument types and uses.The results showed that the media respond to triggering events and reproduce arguments from key stakeholders such as industry, policymakers, and prominent researchers. Similar arguments were consistently used across all publishers, regardless of food product. Pro-tax arguments tended to reinforce the evidence for negative health impacts while anti-tax arguments questioned the need for and efficacy of intervention. This can be understood as a ‘media playbook’ of food tax arguments. To the best of our knowledge, this is the first study to examine media coverage of food taxes across food products. It develops work exploring the media’s impact on food tax debates and informs food policymakers about the acceptability of food taxes and recommended strategies for media engagement.
DOI: 10.25383/city.30850442.v1
title: HEALTHEI Media Analysis Supplementary Materials 1 and 2

description: Analysis of media coverage of food tax debates is limited, with most focusing on taxation of sugar sweetened beverages (SSBs). This study explored UK media coverage of food tax debates, extending beyond SSBs to other food products. We investigated trends in media coverage and how the UK media presented anti- and pro-tax arguments. A mixed-methods content analysis of eight UK news publishers between 2017 and 2023 was undertaken. Articles (n=369) were coded to identify publishers, food product types, and tax types. Coverage was mapped by date, by food product, and by publisher. The article sample was refined to exclude taxes related to the UK Soft Drinks Industry Levy, and remaining articles were analyzed for argument types and uses.The results showed that the media respond to triggering events and reproduce arguments from key stakeholders such as industry, policymakers, and prominent researchers. Similar arguments were consistently used across all publishers, regardless of food product. Pro-tax arguments tended to reinforce the evidence for negative health impacts while anti-tax arguments questioned the need for and efficacy of intervention. This can be understood as a ‘media playbook’ of food tax arguments. To the best of our knowledge, this is the first study to examine media coverage of food taxes across food products. It develops work exploring the media’s impact on food tax debates and informs food policymakers about the acceptability of food taxes and recommended strategies for media engagement.
DOI: 10.5281/zenodo.17882365
title: Root contraction does not increase long-term population growth in Pediocactus bradyi, an endangered cactus of Northern Arizona

description: Long-term demographic dataset of Pediocactus bradyi, an endemic and endangered cactus species that presents root contraction.
DOI: 10.5281/zenodo.17882366
title: Root contraction does not increase long-term population growth in Pediocactus bradyi, an endangered cactus of Northern Arizona

description: Long-term demographic dataset of Pediocactus bradyi, an endemic and endangered cactus species that presents root contraction.
DOI: 10.25383/city.30625139
title: When do bad apples spoil the barrel? Multiple Actors Matter More Than Repeated Exposure for Social Learning

description: Code and data for Endress, AD (in press). When do bad apples spoil the barrel? Multiple Actors Matter More Than Repeated Exposure for Social Learning The data is copied from https://github.com/aendress/social_learning_type_token_sequential
DOI: 10.25383/city.30625139.v1
title: When do bad apples spoil the barrel? Multiple Actors Matter More Than Repeated Exposure for Social Learning

description: Code and data for Endress, AD (in press). When do bad apples spoil the barrel? Multiple Actors Matter More Than Repeated Exposure for Social Learning The data is copied from https://github.com/aendress/social_learning_type_token_sequential
DOI: 10.7910/dvn/ku6gkd
title: Replication data for "Reframing the sustainability of countries from an integrated and multivariate perspective: beyond GDP"

description: The dataset is related to our study, that develops a composite sustainability index based on the Organisation for Economic Cooperation and Development framework, integrating economic, social, and environmental dimensions to assess the performance of 174 countries.
DOI: 10.15468/dl.hz5rem
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophelia peresi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045207-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mxfwe
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Culicoides debilipalpis",
 "Year 1950-2025"
 ]
}

 The dataset includes 42 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045209-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32drfu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.369 -3.325833, 102.298619 -3.331397, 102.229968 -3.347953, 102.164736 -3.375093, 102.104528 -3.41215, 102.050824 -3.458213, 102.004946 -3.512148, 101.968024 -3.57263, 101.940969 -3.638169, 101.924448 -3.707152, 101.918871 -3.777883, 101.924376 -3.848619, 101.940832 -3.917619, 101.967836 -3.983184, 102.004724 -4.043697, 102.050591 -4.097668, 102.104306 -4.143766, 102.164548 -4.180855, 102.229831 -4.208021, 102.298547 -4.224593, 102.369 -4.230163, 102.439453 -4.224593, 102.508169 -4.208021, 102.573452 -4.180855, 102.633694 -4.143766, 102.687409 -4.097668, 102.733276 -4.043697, 102.770164 -3.983184, 102.797168 -3.917619, 102.813624 -3.848619, 102.819129 -3.777883, 102.813552 -3.707152, 102.797031 -3.638169, 102.769976 -3.57263, 102.733054 -3.512148, 102.687176 -3.458213, 102.633472 -3.41215, 102.573264 -3.375093, 102.508032 -3.347953, 102.439381 -3.331397, 102.369 -3.325833))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045208-251120083545085/datasets/export for details.
DOI: 10.15468/dl.7ybdsy
title: Occurrence Download

description: A dataset containing 140947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Athene cunicularia)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 140947 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045160-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/zmu5f1
title: Thinking About my Impact and Engagement: A Worksheet

description: &lt;p dir="ltr"&gt;What does making positive societal impact mean to you? How do you map current and potential partners and beneficiaries? How to align your work to their needs? This workshop package offers a brief printable worksheet with accompanying presentation slides, designed for academics to consider how their project or individual work relates to society.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;Who can primarily benefit from this tool?&lt;/b&gt;&lt;br&gt;Individual researchers and research teams, academics and professional staff holding impact workshops for academics.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;In which context is this tool useful?&lt;/b&gt;&lt;br&gt;When thinking about your impact goals, partners and beneficiaries, and engagement plan - alone or in a workshop setting.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;i&gt;This material has been developed by the Evaluating Societal Impact strategic team for a workshop given at a the ‘Next steps in Convergence Health & Technology’ event in 2024. It consists of a short guide, a printable and an adjustable template, and a slide deck to support you in giving similar workshops.&lt;/i&gt;&lt;/p&gt;
description: This entry is a eight-files data package totaling 54.58 MB, containing files in .odp, .odt, .pdf, .ppt and .txt formats.

If you use this dataset, please cite: Evaluating Societal Impact. (2025). "Thinking About my Impact and Engagement: A Worksheet". Erasmus University Rotterdam (EUR). Online resource. https://doi.org/10.25397/eur.27880203
description: This is no longer a metadata-only release; the material has been added and the README has been updated to reflect the changes.
DOI: 10.15468/dl.k3wj5u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.74 -3.312833, 104.66962 -3.318397, 104.60097 -3.334953, 104.535739 -3.362093, 104.475531 -3.39915, 104.421828 -3.445213, 104.375951 -3.499149, 104.33903 -3.55963, 104.311975 -3.625169, 104.295455 -3.694153, 104.289877 -3.764883, 104.295383 -3.83562, 104.311839 -3.90462, 104.338842 -3.970184, 104.37573 -4.030697, 104.421596 -4.084668, 104.475311 -4.130766, 104.535551 -4.167855, 104.600834 -4.195021, 104.669548 -4.211593, 104.74 -4.217163, 104.810452 -4.211593, 104.879166 -4.195021, 104.944449 -4.167855, 105.004689 -4.130766, 105.058404 -4.084668, 105.10427 -4.030697, 105.141158 -3.970184, 105.168161 -3.90462, 105.184617 -3.83562, 105.190123 -3.764883, 105.184545 -3.694153, 105.168025 -3.625169, 105.14097 -3.55963, 105.104049 -3.499149, 105.058172 -3.445213, 105.004469 -3.39915, 104.944261 -3.362093, 104.87903 -3.334953, 104.81038 -3.318397, 104.74 -3.312833))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045212-251120083545085/datasets/export for details.
DOI: 10.15468/dl.gxyand
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Armandia melanura",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045211-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14258051
title: Whole genome re-sequencing workshop data: fastq files and reference genomes

description:  

Whole genome re-sequencing data analysis workshop datasets. The files are necessary inputs for the workshop in https://github.com/PoODL-CES/Genomics_learning_workshop

Tools and scripts listed in the https://github.com/PoODL-CES/Genomics_learning_workshop repository.

 

These are subsampled fastq files from:Khan, A., Patel, K., Shukla, H., Viswanathan, A., van der Valk, T., Borthakur, U., Nigam, P., Zachariah, A., Jhala, Y.V., Kardos, M. and Ramakrishnan, U., 2021. Genomic evidence for inbreeding depression and purging of deleterious genetic variation in Indian tigers. Proceedings of the National Academy of Sciences, 118(49), p.e2023018118.

The reference genome is from :

Shukla, H., Suryamohan, K., Khan, A., Mohan, K., Perumal, R.C., Mathew, O.K., Menon, R., Dixon, M.D., Muraleedharan, M., Kuriakose, B. and Michael, S., 2023. Near-chromosomal de novo assembly of Bengal tiger genome reveals genetic hallmarks of apex predation. GigaScience, 12, p.giac112.

 

The reference has been indexed using:

bwa index GCA_021130815.1_PanTigT.MC.v3_genomic.fna
DOI: 10.5281/zenodo.17878528
title: Whole genome re-sequencing workshop data: fastq files and reference genomes

description:  

Whole genome re-sequencing data analysis workshop datasets. The files are necessary inputs for the workshop in https://github.com/PoODL-CES/Genomics_learning_workshop

Tools and scripts listed in the https://github.com/PoODL-CES/Genomics_learning_workshop repository.

 

These are subsampled fastq files from:Khan, A., Patel, K., Shukla, H., Viswanathan, A., van der Valk, T., Borthakur, U., Nigam, P., Zachariah, A., Jhala, Y.V., Kardos, M. and Ramakrishnan, U., 2021. Genomic evidence for inbreeding depression and purging of deleterious genetic variation in Indian tigers. Proceedings of the National Academy of Sciences, 118(49), p.e2023018118.

The reference genome is from :

Shukla, H., Suryamohan, K., Khan, A., Mohan, K., Perumal, R.C., Mathew, O.K., Menon, R., Dixon, M.D., Muraleedharan, M., Kuriakose, B. and Michael, S., 2023. Near-chromosomal de novo assembly of Bengal tiger genome reveals genetic hallmarks of apex predation. GigaScience, 12, p.giac112.

 

The reference has been indexed using:

bwa index GCA_021130815.1_PanTigT.MC.v3_genomic.fna
DOI: 10.15468/dl.m3j3hx
title: Occurrence Download

description: A dataset containing 915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Chrysaora hysoscella"
 ]
}

 The dataset includes 915 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045214-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x7bru
title: Occurrence Download

description: A dataset containing 1347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mergus serrator",
 "Year 2000-2025"
 ]
}

 The dataset includes 1347 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045213-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cmzyd
title: Occurrence Download

description: A dataset containing 38783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Cardellina rubrifrons)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 38783 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045215-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.