cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.veqe8h
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroides minax",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 116 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038613-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/g2r8e4
title: Assessing the Role of CTCA 2.0 in Advancing Achievement and Intercultural Skills: A Cross-Linguistic Study on Eutrophication

description: This is a dateset from the Article Titled; Assessing the Role of CTCA 2.0 in Advancing Achievement and Intercultural Skills: A Cross-Linguistic Study on Eutrophication done by Okekwuo and Camara
DOI: 10.17026/ar/tai0vn
title: PAN-00175126 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175126&lt;/p&gt;
description: Modified: 2025-11-05T13:32:38+01:00
DOI: 10.7910/dvn/gmdkoi
title: Replication Data for: Formalizing Employment in Africa's Small Firms: Experimental Evidence from Côte d'Ivoire

description: Informal, low-quality employment in micro, small, and medium enterprises (MSMEs) remains a significant challenge in low- and middle-income countries. This study presents evidence from an impact evaluation of a light-touch business consulting program with a focus on employment formalization in Côte d'Ivoire. Using a randomized controlled trial with 448 self-selected MSMEs and a unique employer-employee dataset, it finds that the intervention led to employment formalization, driven by greater minimum wage compliance (12 pp) and an increase in written contract provision (7 pp). The intervention’s financial implications were moderate and the analysis shows suggestive evidence that these improvements were linked to selective formalization driven by employers' cost-benefit calculation for individual workers. Findings indicate that firms may have partially formalized previously informal payment streams.
DOI: 10.15468/dl.vtarh9
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.56757 26.86988,-97.4371 25.74342,-96.97182 25.71893,-97.04529 27.62901,-95.57599 29.17177,-93.71489 29.61256,-93.86182 29.89417,-93.65367 30.48189,-93.55572 30.94717,-93.60469 31.43693,-93.73967 31.64295,-94.01949 32.03798,-94.01126 33.32594,-94.01537 33.58518,-94.28695 33.58518,-94.70667 33.66336,-94.94122 33.82795,-95.06055 33.90202,-95.17577 33.95963,-95.19266 33.95512,-95.2242 33.95625,-95.25574 33.92246,-95.31206 33.8898,-95.43258 33.87065,-95.50467 33.89092,-95.54747 33.91796,-95.58351 33.93936,-95.62181 33.91458,-95.66573 33.90444,-95.75697 33.88867,-95.80114 33.85164,-95.88624 33.85737,-95.93117 33.88414,-95.9436 33.86598,-96.00671 33.85164,-96.04495 33.8612,-96.10136 33.85259,-96.18645 33.78566,-96.31673 33.75545,-96.50369 33.81679,-96.62638 33.86207,-96.733 33.90297,-96.8294 33.87083,-96.89366 33.88398,-96.85569 33.89712,-96.85131 33.93802,-96.92872 33.97746,-97.00467 33.86207,-97.0704 33.83578,-97.0923 33.80803,-97.09523 33.73646,-97.14927 33.75691,-97.17264 33.83578,-97.17556 33.91757,-98.002 34.07575,-98.76261 34.15416,-99.28798 34.3502,-99.41344 34.49134,-99.78983 34.52271,-99.98586 34.62464,-100.00155 36.50657,-103.00479 36.46737,-103.09282 31.98232,-106.62125 32.03956,-106.65396 31.84331,-106.2451 31.38539,-105.52143 31.00515,-104.84526 30.48397,-104.75241 29.68545,-104.06531 28.88693,-102.74683 28.73836,-102.46828 29.55545,-101.0198 29.44403,-99.96129 28.34839,-99.56757 26.86988))",
 "TaxonKey is Etheostoma radiosum"
 ]
}

 The dataset includes 53 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038614-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxm8zd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microcebus ganzhorni",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038615-251120083545085/datasets/export for details.
DOI: 10.15468/dl.cz62aq
title: Occurrence Download

description: A dataset containing 125525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrotis lagotis",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 125525 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038527-251120083545085/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.30826130.v1
title: COMID ecoregion link

description: COMID ecoregion link
DOI: 10.15468/dl.8texbp
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hypopyrrhus pyrohypogaster"
 ]
}

 The dataset includes 52 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038616-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ku9uf
title: Occurrence Download

description: A dataset containing 1685 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurythenes"
 ]
}

 The dataset includes 1685 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038618-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/jdnp7s
title: Model for "The viability of solar mini-grid irrigation as a replacement for diesel technology in Ethiopia"

description: This repository holds the Excel model used in the paper: Jeuland et al. (2025). "The viability of solar mini-grid irrigation as a replacement for diesel technology in Ethiopia." Environmental Research: Energy.
DOI: 10.15468/dl.8rx3zv
title: Occurrence Download

description: A dataset containing 188332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryozoa"
 ]
}

 The dataset includes 188332 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038576-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/uurufs
title: Racial Inequality and Public Opinion Experiment

description: Data collected for a project on racial inequality and public opinion in the United States.
DOI: 10.17026/ar/vqekiu
title: PAN-00171842 - terra sigillata bowl type Drag. 37 (SG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00171842&lt;/p&gt;
description: Modified: 2025-10-07T12:43:09+02:00
DOI: 10.15468/dl.smf8gc
title: Occurrence Download

description: A dataset containing 693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sapajus cay",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 693 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038620-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ywke7f
title: The Latin American Revolts Database (LARD) (1830-2024)

description: The Latin American Revolts Database (LARD) uses primary and secondary sources to code all revolts in the region from 1830 to 2024. It defines a revolt as an instance of the use or the credible threat of violence to achieve political goals by an identifiable domestic political group that defies the authority of the state. We provide information on the start and end date of revolts, their location, severity, the objectives of the participants, whether they contribute to overthrowing the executive, their type based on the leaders' origins, as well as further variables on the participation of political parties, the military, and/or foreign powers.
DOI: 10.6084/m9.figshare.30826130.v2
title: NFHP score

description: NFHP score
DOI: 10.5281/zenodo.14525766
title: DuneFront deliverable D4.1 - Physical boundary conditions over European coasts

description: [Disclaimer: Given their associated uncertainties and coarse resolution, the data layers in this archive are meant for broad-scale screening and studies integrating across multiple locations. We emphasize in the strongest possible terms that data from individual points are not suitable for any form of local, site-specific assessment or study; users interested in these use cases should prefer relevant higher-precision, local datasets. We also emphasize that any application should consider the uncertainties and limitations documented in the associated report, whether stemming from the original data sources or introduced during the standardization process]

The European project DuneFront (https://dunefront.eu, https://cordis.europa.eu/project/id/101135410) is working to improve coastal protection across Europe by using Nature-based Solutions (NbS), such as Dune-Dike hybrids (DD-hybrids), to defend coastlines from extreme weather and rising sea levels. Within this project, this “Physical Boundary Conditions” deliverable focuses on collecting and mapping key physical boundary conditions that affect the effectiveness of these solutions. The aim was to create a consistent, Europe-wide, high-quality dataset that helps understand how DD-hybrids are, and will be, affected by waves, tides, weather patterns, and climate change.   

The dataset is made of 5 geopackage files, each duplicated in csv format for accessibility. See the deliverable report (pdf) for detailed information on each file, use notes, and literature references. We explicitly recommend the use of the gpkg files over csv for any GIS application, for reasons that are detailed in the report.
DOI: 10.5281/zenodo.14234693
title: DuneFront deliverable D4.1 - Physical boundary conditions over European coasts

description: [Disclaimer: Given their associated uncertainties and coarse resolution, the data layers in this archive are meant for broad-scale screening and studies integrating across multiple locations. We emphasize in the strongest possible terms that data from individual points are not suitable for any form of local, site-specific assessment or study; users interested in these use cases should prefer relevant higher-precision, local datasets. We also emphasize that any application should consider the uncertainties and limitations documented in the associated report, whether stemming from the original data sources or introduced during the standardization process]

The European project DuneFront (https://dunefront.eu, https://cordis.europa.eu/project/id/101135410) is working to improve coastal protection across Europe by using Nature-based Solutions (NbS), such as Dune-Dike hybrids (DD-hybrids), to defend coastlines from extreme weather and rising sea levels. Within this project, this “Physical Boundary Conditions” deliverable focuses on collecting and mapping key physical boundary conditions that affect the effectiveness of these solutions. The aim was to create a consistent, Europe-wide, high-quality dataset that helps understand how DD-hybrids are, and will be, affected by waves, tides, weather patterns, and climate change.   

The dataset is made of 5 geopackage files, each duplicated in csv format for accessibility. See the deliverable report (pdf) for detailed information on each file, use notes, and literature references. We explicitly recommend the use of the gpkg files over csv for any GIS application, for reasons that are detailed in the report.
DOI: 10.7910/dvn/nzx3od
title: Replication Data for: AI-Assisted Conversational Interviewing: Effects on Data Quality and Respondent Experience

description: &lt;b&gt;Paper:&lt;/b&gt; Barari, Soubhik, Jarret Angbazo, Natalie Wang, Leah M. Christian, Elizabeth Dean, Zoe Slowinski, and Brandon Sepulvado. "Al-Assisted Conversational Interviewing: Effects on Data Quality and User Experience." &lt;i&gt;Survey Research Methods&lt;/i&gt; (forthcoming).&lt;br&gt;&lt;br&gt;

&lt;b&gt;Abstract:&lt;/b&gt; Standardized surveys scale efficiently but sacrifice depth, while conversational interviews improve response quality at the cost of scalability and consistency. This study bridges the gap between these methods by introducing a framework for Al-assisted conversational interviewing. To evaluate this framework, we conducted a web survey experiment where 1,800 participants were randomly assigned to Al 'chatbots' which use large language models (LLMs) to dynamically probe respondents for elaboration and interactively code open-ended responses to fixed questions developed by human researchers. We assessed the Al chatbot's performance in terms of coding accuracy, response quality, and respondent) experience. Our findings reveal that Al chatbots perform moderately well in live coding] even without survey-specific fine-tuning, despite slightly inflated false positive errors due to respondent acquiescence bias. Open-ended responses were more detailed and informative, but this came at a slight cost to respondent experience. Our findings highlight the feasibility of using Al methods such as chatbots enhanced by LLMs to enhance open-ended data collection in web surveys.
DOI: 10.15468/dl.w7ve4b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microcebus gerpi",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038624-251120083545085/datasets/export for details.
DOI: 10.7910/dvn/favrvd
title: Replication Data for: Bureaucratic Influence in International Politics (Annual Review of Political Science)

description: Over the past decade, a new wave of research has restored interest in the central and complex role of bureaucracy in international politics. We introduce the concept of bureaucratic influence to unify theories modeling how bureaucrats — ranging from foreign policy advisers to international organization (IO) staff — shape behaviors ranging from international conflict to global governance. We identify two dimensions that structure the pathways through which bureaucrats exert such influence: the degree of centralization in the decision-making process and the selection criteria political leaders apply. We synthesize the resurgent literature along these dimensions, illustrating how emerging findings challenge several conventional wisdoms about the scope and nature of bureaucratic influence. Finally, we take stock of the empirical accomplishments of recent scholarship, highlighting the rich micro-level data it has introduced while noting the bureaucratic populations that remain understudied. Together, our review illuminates how bureaucratic actors embedded in states and IOs shape consequential events in international politics.
DOI: 10.15468/dl.ybd98a
title: Occurrence Download

description: A dataset containing 14633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroides norvegica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14633 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038625-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qsuey
title: Occurrence Download

description: A dataset containing 26330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Acer macrophyllum"
 ]
}

 The dataset includes 26330 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038626-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/m0maly
title: Replication Data for Emphasis Framing and Public Opinion on the Causes of Urban Wildfires

description: This is a replication file for the analyses reported in, "Emphasis Framing and Public Opinion on the Causes of Urban Wildfires in the United States."
DOI: 10.15468/dl.4r9gap
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.29633 -6.36087,-53.30368 -6.36087,-53.30368 8.04236,-89.29633 8.04236,-89.29633 -6.36087))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Muehlenbeckia volcanica"
 ]
}

 The dataset includes 141 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038627-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsvrpf
title: Occurrence Download

description: A dataset containing 784152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 19.085278",
 "DecimalLatitude is less than or equal to 24.085278",
 "DecimalLongitude is greater than or equal to 120.0",
 "DecimalLongitude is less than or equal to 125.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 784152 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038590-251120083545085/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.30702479
title: Human Values, Purpose & Meaning 2025 (Dataset, n = 507)

description: This dataset is part of the Human Clarity Institute’s Human–AI Experience 2025 data series.<br>It examines how adults understand their personal values, sense of meaning, fulfilment, behavioural alignment, life direction, and emotional wellbeing, as well as how these internal experiences relate to digital environments and AI-mediated life.The dataset includes:<br>• validated 1–7 Likert-scale items<br>• measures of meaning, fulfilment, direction, purpose, value alignment, and self-trust<br>• behavioural indicators of top personal values and the life areas least aligned with those values<br>• multi-select variables stored as canonical semicolon-delimited snake_case tokens<br>• open-text reflections with minimal safe cleaning (trim and newline removal only)<br>• demographic variables across six English-speaking countries<br>• digital life exposure (daily hours online) and AI-tool usage frequencyData were collected on 25 November 2025 via the Prolific platform from adults in the United Kingdom, United States, New Zealand, Ireland, Canada, and Australia. Participants provided informed consent for anonymised open publication.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:<br>• canonical snake_case variable naming<br>• validated numeric ranges<br>• standardised multi-select formats<br>• minimal safe text cleaning<br>• full alignment with the accompanying data dictionary<br>• removal of Prolific IDs and timestamps<br>• SHA-256 checksums for all filesThis dataset contributes to understanding how people construct personal meaning, identify core values, evaluate value–life alignment, and determine what matters most in life. It supports longitudinal tracking of meaning, fulfilment, direction, emotional wellbeing, and value-driven behaviour across the Human–AI Experience 2025 series.
DOI: 10.6084/m9.figshare.30702479.v5
title: Human Values, Purpose & Meaning 2025 (Dataset, n = 507)

description: This dataset is part of the Human Clarity Institute’s Human–AI Experience 2025 data series.<br>It examines how adults understand their personal values, sense of meaning, fulfilment, behavioural alignment, life direction, and emotional wellbeing, as well as how these internal experiences relate to digital environments and AI-mediated life.The dataset includes:<br>• validated 1–7 Likert-scale items<br>• measures of meaning, fulfilment, direction, purpose, value alignment, and self-trust<br>• behavioural indicators of top personal values and the life areas least aligned with those values<br>• multi-select variables stored as canonical semicolon-delimited snake_case tokens<br>• open-text reflections with minimal safe cleaning (trim and newline removal only)<br>• demographic variables across six English-speaking countries<br>• digital life exposure (daily hours online) and AI-tool usage frequencyData were collected on 25 November 2025 via the Prolific platform from adults in the United Kingdom, United States, New Zealand, Ireland, Canada, and Australia. Participants provided informed consent for anonymised open publication.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:<br>• canonical snake_case variable naming<br>• validated numeric ranges<br>• standardised multi-select formats<br>• minimal safe text cleaning<br>• full alignment with the accompanying data dictionary<br>• removal of Prolific IDs and timestamps<br>• SHA-256 checksums for all filesThis dataset contributes to understanding how people construct personal meaning, identify core values, evaluate value–life alignment, and determine what matters most in life. It supports longitudinal tracking of meaning, fulfilment, direction, emotional wellbeing, and value-driven behaviour across the Human–AI Experience 2025 series.
DOI: 10.6084/m9.figshare.30702479.v4
title: Human Values, Purpose & Meaning 2025 (Dataset)

description: This dataset is part of the Human Clarity Institute’s AI–Human Experience Data Series. It examines how adults understand their personal values, sense of meaning, life direction, fulfilment, behavioural alignment, and emotional wellbeing — and how these concepts interact with digital and AI-mediated environments.The dataset includes:• validated 1–7 Likert-scale indicators<br>• values clarity and meaning measures<br>• fulfilment, direction, and future motivation items<br>• alignment vs conflict between values and behaviour<br>• identity struggle indicators<br>• wellbeing measures based on the WHO-5<br>• digital/AI influence on values and decision-making<br>• open-text reflections<br>• demographic variables across six English-speaking countriesAll data were collected via Prolific in November 2025. The dataset has been cleaned, anonymised, verified, and documented following HCI’s open-data publication protocol.This dataset supports research on meaning, purpose, wellbeing, behaviour alignment, and how digital systems influence value-driven decision-making.
DOI: 10.15468/dl.u8d429
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sapajus robustus",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 117 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038628-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.