cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uvn49u
title: Occurrence Download

description: A dataset containing 1739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erigeron flagellaris",
 "Year 1970-2025"
 ]
}

 The dataset includes 1739 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005189-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jewwy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphanius fasciatus, Aphanius stiassnyae, Aphyosemion abacinum, Aphyosemion ahli, Aphyosemion alpha, Aphyosemion amoenum, Aphyosemion aureum, Aphyosemion australe, Aphyosemion bamilekorum, Aphyosemion batesii, Aphyosemion bitaeniatum, Aphyosemion bivittatum, Aphyosemion bualanum, Aphyosemion buytaerti, Aphyosemion calliurum, Aphyosemion cameronense, Aphyosemion castaneum, Aphyosemion caudofasciatum, Aphyosemion celiae, Aphyosemion chauchei, Aphyosemion christyi, Aphyosemion citrineipinnis, Aphyosemion coeleste, Aphyosemion cognatum, Aphyosemion congicum, Aphyosemion cyanostictum, Aphyosemion dargei, Aphyosemion decorsei, Aphyosemion edeanum, Aphyosemion elberti, Aphyosemion elegans, Aphyosemion escherichi, Aphyosemion etsamense, Aphyosemion exigoideum, Aphyosemion exiguum, Aphyosemion ferranti, Aphyosemion franzwerneri, Aphyosemion fulgens, Aphyosemion georgiae, Aphyosemion hanneloreae, Aphyosemion heinemanni, Aphyosemion hera, Aphyosemion herzogi, Aphyosemion hofmanni, Aphyosemion joergenscheeli, Aphyosemion kouamense, Aphyosemion labarrei, Aphyosemion lamberti, Aphyosemion lefiniense, Aphyosemion loennbergii, Aphyosemion louessense, Aphyosemion lugens, Aphyosemion lujae, Aphyosemion maculatum, Aphyosemion mikeae, Aphyosemion wachtersi, Aphyosemion mimbon, Aphyosemion ocellatum, Aphyosemion passaroi, Aphyosemion poliaki, Aphyosemion polli, Aphyosemion primigenium, Aphyosemion punctatum, Aphyosemion raddai, Aphyosemion rectogoense, Aphyosemion riggenbachi, Aphyosemion schioetzi, Aphyosemion schluppi, Aphyosemion schoutedeni, Aphyosemion seegersi, Aphyosemion splendopleure, Aphyosemion striatum, Aphyosemion thysi, Aphyosemion tirbaki, Aphyosemion trilineatus, Aphyosemion volcanum, Aphyosemion wildekampi, Aphyosemion wuendschi, Aphyosemion zygaima, Aplocheilichthys antinorii, Micropanchax antinorii, Aplocheilichthys atripinna, Lacustricola atripinna, Aplocheilichthys brichardi, Poropanchax brichardi, Aplocheilichthys bukobanus, Lacustricola bukobanus, Aplocheilichthys centralis, Lacustricola centralis, Aplocheilichthys fuelleborni, Micropanchax fuelleborni, Aplocheilichthys jeanneli, Lacustricola jeanneli, Aplocheilichthys kongoranensis, Lacustricola kongoranensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((45.66 11.3473,45.0861 11.0599,46.1382 11.0599,46.1382 11.2722,45.66 11.3473))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005188-250827131500795/datasets/export for details.
DOI: 10.7910/dvn/ojqaw8
title: Replication Data for "The Reputational Penalty: How Fact-Checking Can Penalize Those Who Spread Misinformation"

description: Replication materials (e.g., datasets, R code, knitted PDFs) used for Study 1, Study 2, Study 3, the pooled data analysis of Studies 1 and 2, and the meta-analysis. Includes a README file with brief descriptions of each file.
DOI: 10.15468/dl.63gf95
title: Occurrence Download

description: A dataset containing 13075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Zostera asiatica"
 ]
}

 The dataset includes 13075 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005190-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15482/usda.adc/29483951
title: Consumer Preferences for Wheat Products Survey Data

description: This data was collected via an online survey via Qualtrics of consumers across 16 western United States in 2017. Date was used to examines determinants of consumer interest in organic versions of wheat products by analyzing differences in selected factors among groups of consumers, distinguished by their likelihood of purchasing organic wheat products. The analysis was performed for bread and cookies to examine whether the findings are different for virtue and vice food categories. Data was additionally used to examine consumer preferences and willingness to pay (WTP) for organic wheat products exhibiting single labels, as well as multiple labels. The additional labels considered were related to organic production (non-genetically modified organism [non-GMO]) or labels perceived as health-promoting (gluten-free, low-carb, sugar-free).
DOI: 10.15482/usda.adc/29483951.v1
title: Consumer Preferences for Wheat Products Survey Data

description: This data was collected via an online survey via Qualtrics of consumers across 16 western United States in 2017. Date was used to examines determinants of consumer interest in organic versions of wheat products by analyzing differences in selected factors among groups of consumers, distinguished by their likelihood of purchasing organic wheat products. The analysis was performed for bread and cookies to examine whether the findings are different for virtue and vice food categories. Data was additionally used to examine consumer preferences and willingness to pay (WTP) for organic wheat products exhibiting single labels, as well as multiple labels. The additional labels considered were related to organic production (non-genetically modified organism [non-GMO]) or labels perceived as health-promoting (gluten-free, low-carb, sugar-free).
DOI: 10.15468/dl.ybubfe
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasioglossum tropicior"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005192-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16985531
title: Stem cell therapy for female stress urinary incontinence: protocol development, results and lessons learned from a pilot clinical study

description: This repository contains de-identified data supporting the pilot clinical study that developed and validated standardized protocols for isolation, characterization, and quality control (QC) of autologous skeletal muscle–derived mesenchymal stem cells (SkM‑MSCs) and bone marrow–derived mesenchymal stem cells (BM‑MSCs) under GMP, and assessed the feasibility, safety, and preliminary efficacy of periurethral injections in women with stress urinary incontinence (SUI).
DOI: 10.5281/zenodo.16985530
title: Stem cell therapy for female stress urinary incontinence: protocol development, results and lessons learned from a pilot clinical study

description: This repository contains de-identified data supporting the pilot clinical study that developed and validated standardized protocols for isolation, characterization, and quality control (QC) of autologous skeletal muscle–derived mesenchymal stem cells (SkM‑MSCs) and bone marrow–derived mesenchymal stem cells (BM‑MSCs) under GMP, and assessed the feasibility, safety, and preliminary efficacy of periurethral injections in women with stress urinary incontinence (SUI).
DOI: 10.15468/dl.w3euvn
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mastigodryas danieli"
 ]
}

 The dataset includes 131 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005193-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wrzxc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphanius fasciatus, Aphanius stiassnyae, Aphyosemion abacinum, Aphyosemion ahli, Aphyosemion alpha, Aphyosemion amoenum, Aphyosemion aureum, Aphyosemion australe, Aphyosemion bamilekorum, Aphyosemion batesii, Aphyosemion bitaeniatum, Aphyosemion bivittatum, Aphyosemion bualanum, Aphyosemion buytaerti, Aphyosemion calliurum, Aphyosemion cameronense, Aphyosemion castaneum, Aphyosemion caudofasciatum, Aphyosemion celiae, Aphyosemion chauchei, Aphyosemion christyi, Aphyosemion citrineipinnis, Aphyosemion coeleste, Aphyosemion cognatum, Aphyosemion congicum, Aphyosemion cyanostictum, Aphyosemion dargei, Aphyosemion decorsei, Aphyosemion edeanum, Aphyosemion elberti, Aphyosemion elegans, Aphyosemion escherichi, Aphyosemion etsamense, Aphyosemion exigoideum, Aphyosemion exiguum, Aphyosemion ferranti, Aphyosemion franzwerneri, Aphyosemion fulgens, Aphyosemion georgiae, Aphyosemion hanneloreae, Aphyosemion heinemanni, Aphyosemion hera, Aphyosemion herzogi, Aphyosemion hofmanni, Aphyosemion joergenscheeli, Aphyosemion kouamense, Aphyosemion labarrei, Aphyosemion lamberti, Aphyosemion lefiniense, Aphyosemion loennbergii, Aphyosemion louessense, Aphyosemion lugens, Aphyosemion lujae, Aphyosemion maculatum, Aphyosemion mikeae, Aphyosemion wachtersi, Aphyosemion mimbon, Aphyosemion ocellatum, Aphyosemion passaroi, Aphyosemion poliaki, Aphyosemion polli, Aphyosemion primigenium, Aphyosemion punctatum, Aphyosemion raddai, Aphyosemion rectogoense, Aphyosemion riggenbachi, Aphyosemion schioetzi, Aphyosemion schluppi, Aphyosemion schoutedeni, Aphyosemion seegersi, Aphyosemion splendopleure, Aphyosemion striatum, Aphyosemion thysi, Aphyosemion tirbaki, Aphyosemion trilineatus, Aphyosemion volcanum, Aphyosemion wildekampi, Aphyosemion wuendschi, Aphyosemion zygaima, Aplocheilichthys antinorii, Micropanchax antinorii, Aplocheilichthys atripinna, Lacustricola atripinna, Aplocheilichthys brichardi, Poropanchax brichardi, Aplocheilichthys bukobanus, Lacustricola bukobanus, Aplocheilichthys centralis, Lacustricola centralis, Aplocheilichthys fuelleborni, Micropanchax fuelleborni, Aplocheilichthys jeanneli, Lacustricola jeanneli, Aplocheilichthys kongoranensis, Lacustricola kongoranensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.3005 22.3477,37.1382 22.4869,37.1382 20.0599,37.7663 20.0599,37.7668 21.2899,37.3972 21.7772,37.3005 22.3477))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005194-250827131500795/datasets/export for details.
DOI: 10.15468/dl.8t25dj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalloceros caudimaculatus",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005196-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16989638
title: Fee vs Fine

description: Description

This dataset contains data from an online experiment designed to test whether economically equivalent penalties—fees (paid before taking) and fines (paid after taking)—influence prosocial behaviour differently. Participants played a modified dictator game in which they could take points from another participant.

The dataset is provided in Excel format (Full-data.xlsx), along with a Stata do-file (submit.do) that reshapes, cleans, and analyses the data.

Data Collection





Platform: oTree




Recruitment: Prolific




Sample size: 201 participants




Design: Each participant played 20 rounds: 10 in the control condition and 10 in one treatment condition (fee or fine). Order of blocks was randomised.




Payment: 200 points = £1. One round was randomly selected for payment.



Variables

Identification





session – Session number




id – Participant ID




treatment – Assigned treatment (1 = Fee, 2 = Fine)




order – Order of blocks (0 = Control first, 1 = Treatment first)



Decision Rounds

For each round, participants made decisions in both control (c) and treatment (t) conditions.





c1, t1, c2, t2, … – Tokens available and/or allocated across control and treatment rounds.




takeX – Amount taken from the other participant in case X.



Norm Elicitation

Social norms were elicited after the taking task. Variables include empirical, normative, and responsibility measures at both extensive and intensive margins:





eyX, etX – Empirical expectations (beliefs about what others do)




nyX, ntX – Normative expectations (beliefs about what others think is appropriate)




ryX, rtX – Responsibility measures




casenormX – Case identifier for norm elicitation



Demographics

From survey responses:





Sex – Gender




Ethnicitysimplified – Simplified ethnicity category




Countryofresidence – Participant’s country of residence



Other





order, session – Experimental setup metadata



Stata Do-File (analysis.do)

The .do file performs the following steps:





Data Preparation





Import raw Excel file




Reshape from wide to long format (cases per participant)




Declare panel data (xtset id)






Variable Generation





Rename variables for clarity (e.g., take for amount taken)




Generate treatment dummies (treat)




Construct demographic dummies (gender, race, nationality)






Analysis Preparation





Create extensive and intensive margin variables




Generate expectation and norm measures






Output





Ready-to-analyse panel dataset for regression and statistical analysis
DOI: 10.5281/zenodo.16989639
title: Fee vs Fine

description: Description

This dataset contains data from an online experiment designed to test whether economically equivalent penalties—fees (paid before taking) and fines (paid after taking)—influence prosocial behaviour differently. Participants played a modified dictator game in which they could take points from another participant.

The dataset is provided in Excel format (Full-data.xlsx), along with a Stata do-file (submit.do) that reshapes, cleans, and analyses the data.

Data Collection





Platform: oTree




Recruitment: Prolific




Sample size: 201 participants




Design: Each participant played 20 rounds: 10 in the control condition and 10 in one treatment condition (fee or fine). Order of blocks was randomised.




Payment: 200 points = £1. One round was randomly selected for payment.



Variables

Identification





session – Session number




id – Participant ID




treatment – Assigned treatment (1 = Fee, 2 = Fine)




order – Order of blocks (0 = Control first, 1 = Treatment first)



Decision Rounds

For each round, participants made decisions in both control (c) and treatment (t) conditions.





c1, t1, c2, t2, … – Tokens available and/or allocated across control and treatment rounds.




takeX – Amount taken from the other participant in case X.



Norm Elicitation

Social norms were elicited after the taking task. Variables include empirical, normative, and responsibility measures at both extensive and intensive margins:





eyX, etX – Empirical expectations (beliefs about what others do)




nyX, ntX – Normative expectations (beliefs about what others think is appropriate)




ryX, rtX – Responsibility measures




casenormX – Case identifier for norm elicitation



Demographics

From survey responses:





Sex – Gender




Ethnicitysimplified – Simplified ethnicity category




Countryofresidence – Participant’s country of residence



Other





order, session – Experimental setup metadata



Stata Do-File (analysis.do)

The .do file performs the following steps:





Data Preparation





Import raw Excel file




Reshape from wide to long format (cases per participant)




Declare panel data (xtset id)






Variable Generation





Rename variables for clarity (e.g., take for amount taken)




Generate treatment dummies (treat)




Construct demographic dummies (gender, race, nationality)






Analysis Preparation





Create extensive and intensive margin variables




Generate expectation and norm measures






Output





Ready-to-analyse panel dataset for regression and statistical analysis
DOI: 10.15468/dl.df7z4j
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalloceros caudimaculatus",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005195-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xpnbs
title: Occurrence Download

description: A dataset containing 64482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Steindachneridion doceanum, Prochilodus vimboides, Paragenidens grandoculis, Megalops atlanticus, Lutjanus cyanopterus, Lupinoblennius paivai, Epinephelus itajara, Brycon dulcis)"
 ]
}

 The dataset includes 64482 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005173-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3pr32
title: Occurrence Download

description: A dataset containing 10348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus ponderosa ponderosa"
 ]
}

 The dataset includes 10348 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005197-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13012/b2idb-7982423_v1
title: Data for Aboveground rather than belowground productivity drives variability in Miscanthus x giganteus net primary productivity

description: This dataset contains the data used for the publication “Aboveground rather than belowground productivity drives variability in Miscanthus x giganteus net primary productivity”. This dataset contains Miscanthus x giganteus biomass, carbon, and nitrogen tissue data for aboveground and belowground plant parts collected in 2021 for three different sites in Iowa with three different nitrogen application rates. Data at the Iowa sites were collected via biometric hand harvesting, belowground excavations, and soil coring both in-clump and beside-clump. Data were collected at two collection timepoints to calculate the contributions of belowground parts to Miscanthus x giganteus net primary productivity. This dataset also includes Miscanthus x giganteus and Switchgrass soil coring and excavation data collected in 2012 at the University of Illinois Urbana Champaign Energy Farm.
DOI: 10.15468/dl.5y87ks
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphanius fasciatus, Aphanius stiassnyae, Aphyosemion abacinum, Aphyosemion ahli, Aphyosemion alpha, Aphyosemion amoenum, Aphyosemion aureum, Aphyosemion australe, Aphyosemion bamilekorum, Aphyosemion batesii, Aphyosemion bitaeniatum, Aphyosemion bivittatum, Aphyosemion bualanum, Aphyosemion buytaerti, Aphyosemion calliurum, Aphyosemion cameronense, Aphyosemion castaneum, Aphyosemion caudofasciatum, Aphyosemion celiae, Aphyosemion chauchei, Aphyosemion christyi, Aphyosemion citrineipinnis, Aphyosemion coeleste, Aphyosemion cognatum, Aphyosemion congicum, Aphyosemion cyanostictum, Aphyosemion dargei, Aphyosemion decorsei, Aphyosemion edeanum, Aphyosemion elberti, Aphyosemion elegans, Aphyosemion escherichi, Aphyosemion etsamense, Aphyosemion exigoideum, Aphyosemion exiguum, Aphyosemion ferranti, Aphyosemion franzwerneri, Aphyosemion fulgens, Aphyosemion georgiae, Aphyosemion hanneloreae, Aphyosemion heinemanni, Aphyosemion hera, Aphyosemion herzogi, Aphyosemion hofmanni, Aphyosemion joergenscheeli, Aphyosemion kouamense, Aphyosemion labarrei, Aphyosemion lamberti, Aphyosemion lefiniense, Aphyosemion loennbergii, Aphyosemion louessense, Aphyosemion lugens, Aphyosemion lujae, Aphyosemion maculatum, Aphyosemion mikeae, Aphyosemion wachtersi, Aphyosemion mimbon, Aphyosemion ocellatum, Aphyosemion passaroi, Aphyosemion poliaki, Aphyosemion polli, Aphyosemion primigenium, Aphyosemion punctatum, Aphyosemion raddai, Aphyosemion rectogoense, Aphyosemion riggenbachi, Aphyosemion schioetzi, Aphyosemion schluppi, Aphyosemion schoutedeni, Aphyosemion seegersi, Aphyosemion splendopleure, Aphyosemion striatum, Aphyosemion thysi, Aphyosemion tirbaki, Aphyosemion trilineatus, Aphyosemion volcanum, Aphyosemion wildekampi, Aphyosemion wuendschi, Aphyosemion zygaima, Aplocheilichthys antinorii, Micropanchax antinorii, Aplocheilichthys atripinna, Lacustricola atripinna, Aplocheilichthys brichardi, Poropanchax brichardi, Aplocheilichthys bukobanus, Lacustricola bukobanus, Aplocheilichthys centralis, Lacustricola centralis, Aplocheilichthys fuelleborni, Micropanchax fuelleborni, Aplocheilichthys jeanneli, Lacustricola jeanneli, Aplocheilichthys kongoranensis, Lacustricola kongoranensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.9094 1.1982,46.1382 1.9309,46.1382 2.0599,37.1382 2.0599,37.1382 -6.9401,40.3593 -6.9401,40.412 -6.7736,40.0778 -6.426,39.9615 -5.9146,40.3471 -5.2827,40.3421 -4.7259,40.0631 -4.4307,40.3789 -3.7221,40.7318 -3.0429,41.8321 -2.1586,43.8394 0.2906,44.9094 1.1982))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005198-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j664bh
title: Occurrence Download

description: A dataset containing 14972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trigona spinipes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14972 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005200-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5c2hp
title: Occurrence Download

description: A dataset containing 32655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus tremuloides"
 ]
}

 The dataset includes 32655 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005199-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.