cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ejk99u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981603","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023976-241024112534372/datasets/export for details.
DOI: 10.3886/e157161v1
title: Data and Code for: Belief Elicitation and Behavioral Incentive Compatibility

description: Subjective beliefs are crucial for economic inference, yet behavior can challenge the elicitation. We propose that belief elicitation should be incentive compatible not only theoretically but also in a de facto behavioral sense. To demonstrate, we show that the binarized scoring rule, a state-of-the-art elicitation, violates two weak conditions for behavioral incentive compatibility: (i) within the elicitation, information on the incentives increases deviations from truthful reporting; and (ii) in a pure choice over the set of incentives, most deviate from the theorized maximizer. Moreover, we document that deviations are systematic and center-biased, and that the elicited beliefs substantially distort inference.<br>
DOI: 10.3886/e209063
title: Data and Code for: Evaluating behavioral incentive compatibility: Insights from the lab

description: This file provides code to replicate figures from the paper using publicly available data from four papers, where each of these papers provides experimental data useful for examining the behavioral compatibility of common elicitation incentives:<br>Theo Offerman, Joep Sonnemans, Gijs Van De Kuilen, Peter P. Wakker, "A Truth Serum for Non-Bayesians: Correcting Proper Scoring Rules for Risk Attitudes," Review of Economic Studies, Volume 76, Issue 4, October 2009, Pages 1461–1489 (https://doi.org/10.1111/j.1467-937X.2009.00557.x)Tanjim Hossain, Ryo Okui, "The Binarized Scoring Rule," Review of Economic Studies, Volume 80, Issue 3, July 2013, Pages 984–1001 (https://doi.org/10.1093/restud/rdt006)Nisvan Erkal, Lata Gangadharan, Boon Han Koh, "Replication: Belief elicitation with quadratic and binarized scoring rules," Journal of Economic Psychology, Volume 81, 2020 (https://doi.org/10.1016/j.joep.2020.102315)David Danz, Lise Vesterlund, and Alistair J. Wilson. 2022. "Belief Elicitation and Behavioral Incentive Compatibility." American Economic Review, 112 (9): 2851–83. (https://doi.org/10.1257/aer.20201248, replication package: https://doi.org/10.3886/E157161V1)<br>The replication package requires the replicator to download four zip archives from the Journal pages/OpenICPSR, and guides the assembly of a meta-study dataset, from which the paper's five figures are constructed.<br>
DOI: 10.3886/e209063v1
title: Data and Code for: Evaluating behavioral incentive compatibility: Insights from the lab

description: This file provides code to replicate figures from the paper using publicly available data from four papers, where each of these papers provides experimental data useful for examining the behavioral compatibility of common elicitation incentives:<br>Theo Offerman, Joep Sonnemans, Gijs Van De Kuilen, Peter P. Wakker, "A Truth Serum for Non-Bayesians: Correcting Proper Scoring Rules for Risk Attitudes," Review of Economic Studies, Volume 76, Issue 4, October 2009, Pages 1461–1489 (https://doi.org/10.1111/j.1467-937X.2009.00557.x)Tanjim Hossain, Ryo Okui, "The Binarized Scoring Rule," Review of Economic Studies, Volume 80, Issue 3, July 2013, Pages 984–1001 (https://doi.org/10.1093/restud/rdt006)Nisvan Erkal, Lata Gangadharan, Boon Han Koh, "Replication: Belief elicitation with quadratic and binarized scoring rules," Journal of Economic Psychology, Volume 81, 2020 (https://doi.org/10.1016/j.joep.2020.102315)David Danz, Lise Vesterlund, and Alistair J. Wilson. 2022. "Belief Elicitation and Behavioral Incentive Compatibility." American Economic Review, 112 (9): 2851–83. (https://doi.org/10.1257/aer.20201248, replication package: https://doi.org/10.3886/E157161V1)<br>The replication package requires the replicator to download four zip archives from the Journal pages/OpenICPSR, and guides the assembly of a meta-study dataset, from which the paper's five figures are constructed.<br>
DOI: 10.15468/dl.2rg6c8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981604","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023977-241024112534372/datasets/export for details.
DOI: 10.5284/1124307
title: Data from a Magnetometry Survey at Dallington, Northampton, September 2023

description: This collection comprises comprises geophysics data, a grey scale raster image, a CAD drawing and a report from a magnetometry survey at land at Dallington, Northampton undertaken by SUMO Geosurveys in September 2022.
DOI: 10.15468/dl.jmm7db
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981610","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023979-241024112534372/datasets/export for details.
DOI: 10.15468/dl.f8vdft
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981605","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023978-241024112534372/datasets/export for details.
DOI: 10.15468/dl.2zrsu2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acromitoides Stiasny, 1921"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023981-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42r4en
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Germany",
 "TaxonKey is Emberiza hortulana Linnaeus, 1758",
 "Year 1990-2024"
 ]
}

 The dataset includes 638 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023982-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14039900
title: Opacities
DOI: 10.5281/zenodo.14039901
title: Opacities
DOI: 10.15468/dl.nwtx53
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Philippines",
 "PublishingOrg is 04fd2e13-6881-4e5c-9dd1-8fdd9ab993c1",
 "Year 2014-2024"
 ]
}

 The dataset includes 130 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023983-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2qu3n
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo nipalensis Hodgson, 1836"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023985-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yx4kqj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981621","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023986-241024112534372/datasets/export for details.
DOI: 10.15468/dl.jvuhge
title: Occurrence Download

description: A dataset containing 798 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acromitus Light, 1914"
 ]
}

 The dataset includes 798 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023984-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnfzfw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981626","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023987-241024112534372/datasets/export for details.
DOI: 10.15468/dl.uc9bqf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981636","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023990-241024112534372/datasets/export for details.
DOI: 10.15468/dl.cwae7p
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "TaxonKey is Panderia turkestanica Iljin"
 ]
}

 The dataset includes 37 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023988-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.758knn
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ONCFS Réseau Ours brun - Ours 2016 présence Régulière Mailles 10km LAEA Réseau Ours brun ONCFS"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023989-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpfzkr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981649","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023992-241024112534372/datasets/export for details.
DOI: 10.15468/dl.mwyrxh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981653","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023994-241024112534372/datasets/export for details.
DOI: 10.15468/dl.k5av4m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981650","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023993-241024112534372/datasets/export for details.
DOI: 10.15468/dl.j4gfdd
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Réseau Loup - Lynx ONCFS - Réseau Loup-Lynx : Répartition communale Régulière du Loup en 2015"
 ]
}

 The dataset includes 271 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023995-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21335/nmdc-1650517264
title: Billefjorden Benthic Biodiversity: Environmental, CTD and abundance data 2023

description: Environmental, CTD and abundance data from Billefjorden Macrofauna sampling 2023
DOI: 10.15468/dl.q2dydp
title: Occurrence Download

description: A dataset containing 4130118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CAN.9.1_1, CAN.9.48_1, CAN.9.43_1, CAN.9.5_1, CAN.9.20_1, CAN.9.49_1, CAN.9.11_1, CAN.9.47_1)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4130118 records from 606 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023956-241024112534372/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.26363780
title: Effect of Phenolic Compounds on Intestinal Health in Preclinical Models of Diet-Induced Obesity: A Systemic Review

description: Phenolic compounds show promise in treating obesity and enhancing intestinal health. This systematic review addressed the following question: “What are the effects of polyphenols on intestinal health in preclinical studies with diet-induced obesity?”. The review followed PRISMA guidelines and was registered in PROSPERO(CRD42021262445). Studies published until April 2024 were selected from Medline(PubMed), Web of Science, Scopus, Embase, and ScienceDirect using terms related to polyphenols, obesity, and microbiota in rats and mice. Thirty papers meeting PICOS criteria were included. Bias risk was assessed with the SYRCLE tool, yielding scores between 4.5 and 7.0 out of 10. Findings indicated that 22 phenolic compounds improved gut microbiota diversity, reduced the Firmicutes/Bacteroides ratio, and modulated microbiota at various taxonomic levels. They also increased short-chain fatty acids, tight-junction expression, enhanced intestinal morphology, and reduced endotoxemia and inflammatory cytokines. These results suggest phenolic compounds may help treat obesity by modifying the microbiota and improving intestinal health. However, further research is needed to standardize data and facilitate meta-analyses.
DOI: 10.6084/m9.figshare.26363780.v1
title: Effect of Phenolic Compounds on Intestinal Health in Preclinical Models of Diet-Induced Obesity: A Systemic Review

description: Phenolic compounds show promise in treating obesity and enhancing intestinal health. This systematic review addressed the following question: “What are the effects of polyphenols on intestinal health in preclinical studies with diet-induced obesity?”. The review followed PRISMA guidelines and was registered in PROSPERO(CRD42021262445). Studies published until April 2024 were selected from Medline(PubMed), Web of Science, Scopus, Embase, and ScienceDirect using terms related to polyphenols, obesity, and microbiota in rats and mice. Thirty papers meeting PICOS criteria were included. Bias risk was assessed with the SYRCLE tool, yielding scores between 4.5 and 7.0 out of 10. Findings indicated that 22 phenolic compounds improved gut microbiota diversity, reduced the Firmicutes/Bacteroides ratio, and modulated microbiota at various taxonomic levels. They also increased short-chain fatty acids, tight-junction expression, enhanced intestinal morphology, and reduced endotoxemia and inflammatory cytokines. These results suggest phenolic compounds may help treat obesity by modifying the microbiota and improving intestinal health. However, further research is needed to standardize data and facilitate meta-analyses.