cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18130/v3/abitmj
title: Replication Data for: Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models

description: Raw data and code snapshot for Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models.
DOI: 10.15468/dl.yy6jm3
title: Occurrence Download

description: A dataset containing 12769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andropogon virginicus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12769 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071331-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.842z9n
title: Occurrence Download

description: A dataset listing the 12 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Montenegro",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset's 12 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071329-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkf3up
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-141.51788 70.21784,-141.11923 58.7709,-134.59846 57.74581,-132.00724 69.79071,-141.51788 70.21784))",
 "OccurrenceStatus is Present",
 "TaxonKey is Exorista dydas"
 ]
}

 The dataset includes 45 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071332-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00011360
title: Alzheimer's Disease (AD) Placebo Data Harmonization for Future AD Data Initiative/Vivli Challenge 

description: The proposed project will combine and standardize data from the placebo groups of several Phase 3 clinical trials focused on Alzheimer’s disease (AD), a progressive brain disorder that affects memory, thinking, and behavior. These efforts will involve working with two types of standardized datasets commonly used in clinical research: Study Data Tabulation Model (SDTM) files, which organize raw clinical trial data, and Analysis Data Model (ADaM) files, which are prepared to support statistical analysis. Both formats are used to meet U.S. Food and Drug Administration (FDA) requirements for data submission.

The project will include harmonizing—or aligning—the structure and content of these datasets by standardizing variables such as demographic information and disease-specific measurements. The end goal is to make the data from different studies stackable, meaning they can be merged into a single, consistent file. This makes it easier for approved researchers to analyze the data as one dataset, rather than working with separate files from each study.

The resulting harmonized dataset, which includes only placebo-arm data, will be made available to qualified researchers participating in an upcoming data challenge. A data challenge sponsored by the AD Data Initiative will be run to help further research being done in the Alzheimer's space. Our goal is to harmonize the data to allow it to be as user friendly as possible for researchers as they explore different routes of researching the disease space. The data challenge will be open ended with researchers being given the opportunity to explore the data as they see fit and beneficial. After standardization, the data will be made requestable to all those participating in the data challenge. The governance for making the harmonized data available would be governed by the IRP. Data Contributor review would be skipped in this instance as the preferred approach. The findings and results from the data challenge will be published according to the publication requirements outlined in the Data Use Agreements.

We believe this shared resource will be a valuable tool for advancing Alzheimer’s and related dementias (ADRD) research, helping scientists conduct more efficient, powerful analyses that can lead to new insights and discoveries.
DOI: 10.34740/kaggle/dsv/14375753
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.b453hu
title: Occurrence Download

description: A dataset containing 20933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chasmanthium latifolium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20933 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071333-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5063/f1mp51r3
title: Code and data for "A Systematic Map of Methods for Assessing Societal Benefits of Earth Science Information"

description: Dataset includes code for cleaning and analyzing citations from Web of Science, Scopus, and the USGS Societal Benefits Library. Results of screening at various stages are included.Files include a .zip file of the Github repository at the time of submission, as well as individual files of screening results (title/abstract screening results from Colandr, and full text screening results including coding notes).Manuscript abstract:Remotely sensed Earth science information (ESI) has become increasingly central to addressing global challenges, yet its societal value, i.e., the difference ESI makes in real-world decisions and outcomes, is rarely quantified. In this study, we systematically map peer-reviewed literature that explicitly assesses the societal value of ESI across instrumental, intrinsic, and relational value types, and the diversity of approaches used to assess those values. Drawing from 13,823 publications across Scopus, Web of Science, and a curated library of ESI valuation studies, we identify 171 studies that applied ESI in a decision context and used a valuation method to compare outcomes with and without ESI. The majority of these studies employed decision analysis methods (e.g., Value of Information, Cost-Benefit Analysis), focusing primarily on quantitative instrumental values (e.g., profit, crop yield, lives saved), particularly in agricultural contexts. A smaller set of studies applied preference elicitation methods (e.g., stated preference, surveys, interviews, focus groups) to capture qualitative benefits and relational values including quality of life improvements, empowerment, and procedural justice. Many excluded studies demonstrated scientific value of ESI but did not explicitly translate that into societal value, revealing the need for a more systematic approach to ESI valuation. By promoting a more inclusive, interdisciplinary, and flexible portfolio of valuation methods, we aim to expand our understanding of the societal benefits of ESI to help guide investment in future missions, enhance public support, and ensure that science and policy goals are well aligned.
DOI: 10.15468/dl.47hyrw
title: Occurrence Download

description: A dataset containing 122559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calyptorhynchus banksii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 122559 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071320-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt2zp9
title: Occurrence Download

description: A dataset containing 11958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elymus hystrix",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11958 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071334-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9uvba
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydoras punctatus"
 ]
}

 The dataset includes 147 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071335-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18135146
title: Data used for the three case studies to validate 'A Data-Driven Approach to Geological Modeling Using Geophysical Proxies' (Hernández, Alberdi & Goti, 2026)

description: These data are the ones used for the three case studies presented to validate the proposed data-driven, multivariate method of the paper entitled ‘A Data-Driven Approach to Geological Modeling Using Geophysical Proxies’, authored by Heber Hernández, Elisabete Alberdi and Aitor Goti. The first case, entirely synthetic and in 2D, focuses on explaining the novel aspects of the DDIM method in detail, highlighting its ability to integrate secondary information and generate more accurate geological models across six different spatial sampling scenarios. The second case, also synthetic and in 2D, demonstrates how incorporating geophysical information as a proxy significantly improves the modeling of mineralized and barren rock identified in boreholes, overcoming the limitations of traditional and reducing entropy. Finally, the third case, developed in 3D, addresses the modeling of oxidized and sulfidized minerals in a copper deposit located in northern Chile, using geophysical information to guide geological interpretation and reduce uncertainty in areas with limited sampling. These application cases, developed in Python, demonstrate the advantages of a data-driven, multivariate method in contrast to traditional implicit methodologies available in most mining software packages, such as Leapfrog by Seequent, Vulcan by Maptek, and Studio Geo by Datamine.
DOI: 10.5281/zenodo.18135145
title: Data used for the three case studies to validate 'A Data-Driven Approach to Geological Modeling Using Geophysical Proxies' (Hernández, Alberdi & Goti, 2026)

description: These data are the ones used for the three case studies presented to validate the proposed data-driven, multivariate method of the paper entitled ‘A Data-Driven Approach to Geological Modeling Using Geophysical Proxies’, authored by Heber Hernández, Elisabete Alberdi and Aitor Goti. The first case, entirely synthetic and in 2D, focuses on explaining the novel aspects of the DDIM method in detail, highlighting its ability to integrate secondary information and generate more accurate geological models across six different spatial sampling scenarios. The second case, also synthetic and in 2D, demonstrates how incorporating geophysical information as a proxy significantly improves the modeling of mineralized and barren rock identified in boreholes, overcoming the limitations of traditional and reducing entropy. Finally, the third case, developed in 3D, addresses the modeling of oxidized and sulfidized minerals in a copper deposit located in northern Chile, using geophysical information to guide geological interpretation and reduce uncertainty in areas with limited sampling. These application cases, developed in Python, demonstrate the advantages of a data-driven, multivariate method in contrast to traditional implicit methodologies available in most mining software packages, such as Leapfrog by Seequent, Vulcan by Maptek, and Studio Geo by Datamine.
DOI: 10.15468/dl.v4n2rx
title: Occurrence Download

description: A dataset containing 10914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elymus virginicus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10914 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071337-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptj53x
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Lagothrix poeppigii",
 "Year 2010-2026"
 ]
}

 The dataset includes 311 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071338-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18134121
title: PersuaRealSim: Simulation Data and Trained Models for Bot-Driven Belief Manipulation

description: This record accompanies the Master’s thesis “Influencing Belief in LLM-Based Agent Networks: An Empirically Validated Simulation of Bot-Driven Manipulation” written by Julian Burmester.

The archive contains data and model artifacts produced with PersuaRealSim, a Twitter-like generative social simulation developed to study belief change under empirically grounded conditions. The simulation models interactions between human-like generative agents and specialised social-bot agents, while belief updating is externalised to a supervised persuasion judge rather than driven by unconstrained prompting or heuristic rules.

Specifically, this record includes





Raw outputs of 36 simulation runs conducted across two misinformation-relevant domains, capturing timelines, belief trajectories, and derived evaluation data.




The final trained RankFormer persuasion-judge model, trained on 46,846 r/ChangeMyView threads with human-verified belief change outcomes and used to estimate message-level persuasion effects in the simulation.



The RankFormer outputs are calibrated to plausible stance-shift magnitudes and injected into a continuous belief update mechanism, enabling the analysis of bot-driven persuasion dynamics under empirically constrained assumptions.

The corresponding source code for the simulation environment (PersuaRealSim), agent implementations, and analysis scripts is available athttps://github.com/JulianBurmester/PersuaRealSim
DOI: 10.5281/zenodo.18134122
title: PersuaRealSim: Simulation Data and Trained Models for Bot-Driven Belief Manipulation

description: This record accompanies the Master’s thesis “Influencing Belief in LLM-Based Agent Networks: An Empirically Validated Simulation of Bot-Driven Manipulation” written by Julian Burmester.

The archive contains data and model artifacts produced with PersuaRealSim, a Twitter-like generative social simulation developed to study belief change under empirically grounded conditions. The simulation models interactions between human-like generative agents and specialised social-bot agents, while belief updating is externalised to a supervised persuasion judge rather than driven by unconstrained prompting or heuristic rules.

Specifically, this record includes





Raw outputs of 36 simulation runs conducted across two misinformation-relevant domains, capturing timelines, belief trajectories, and derived evaluation data.




The final trained RankFormer persuasion-judge model, trained on 46,846 r/ChangeMyView threads with human-verified belief change outcomes and used to estimate message-level persuasion effects in the simulation.



The RankFormer outputs are calibrated to plausible stance-shift magnitudes and injected into a continuous belief update mechanism, enabling the analysis of bot-driven persuasion dynamics under empirically constrained assumptions.

The corresponding source code for the simulation environment (PersuaRealSim), agent implementations, and analysis scripts is available athttps://github.com/JulianBurmester/PersuaRealSim
DOI: 10.15468/dl.tcrkpw
title: Occurrence Download

description: A dataset containing 3813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis spectabilis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3813 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071339-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23719/1532402
title: Towards an integrated theory of body size distributions, life history and functional traits, and environmental flows in freshwater ecosystems.

description: Efforts to quantify and explain individual size distributions (ISD) are prominent in ecological research and potentially for applications to management which increasingly consider ecosystem-scale objectives. We use a nation-wide database of individual size measurements for United States stream fishes paired with species’ traits and test for direct and indirect effects of traits, flow, and land use on the slope of the interspecific ISD. Modeling results show that traits have strong, direct effects on ISD whereas flow and land use primarily indirectly affect ISD via mediation by functional traits. ISDs flatten (i.e., greater abundances of larger-bodied individuals) when environmental conditions favor higher trophic levels, thermal tolerances, and periodic life histories, but steepen (i.e., greater abundances of smaller-bodied individuals) when environments benefit opportunistic life histories. Our framework that incorporates direct and indirect of traits, flow alteration, and land-use on ISD could be expanded to incorporate additional variables that interact with flow regimes (e.g., temperature, physical habitat) to understand and predict how multiple environmental stressors affect ecosystem functions.
DOI: 10.23719/1531910
title: Withstanding megafires: Fishes thrive and amphibians persist in severely burned watersheds

description: Data on invertebrate assemblages from thirty sites in western Oregon sampled post-wildfire
DOI: 10.15468/dl.hb9b9k
title: Occurrence Download

description: A dataset containing 1486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muhlenbergia capillaris",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1486 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071342-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb7an8
title: Occurrence Download

description: A dataset containing 1516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1516 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071343-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18108900
title: Dataset for Detecting Lifshitz Transitions Using Nonlinear Conductivity in Bilayer Graphene

description: This is the reproduction dataset for Detecting Lifshitz Transitions Using Nonlinear Conductivity in Bilayer Graphene. The data and the corresponding readme files are propvided as .zip file.
DOI: 10.15468/dl.2abce5
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 42 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071344-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axvq34
title: Occurrence Download

description: A dataset containing 13578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Centrocercus urophasianus",
 "Year 2016-2026"
 ]
}

 The dataset includes 13578 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071345-251120083545085/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.30992581
title: Standardized precipitation index (SPI) data over Quebec and Abitibi-Témiscamingue

description: This study assesses historical and projected drought conditions across the Abitibi-Témiscamingue (AT) region of Quebec for the period 1991-2100 using the Standardized Precipitation Index (SPI) and precipitation data derived from CMIP6 climate models under three Shared Socioeconomic Pathways (SSP2-4.5, SSP3-7.0, and SSP5-8.5) culled from Ouranos for all the five regional country municipalities (RCMs) of AT. Results show that although total annual precipitation is projected to increase across all RCMs, this increase does not uniformly mitigate drought risk. The analysis reveals spatial disparities in both historical and projected drought severity, with northern municipalities—specifically Abitibi, West Abitibi, and Rouyn-Noranda—consistently experiencing more frequent and intense droughts compared to southern municipalities such as Vallée-de-l’Or and Témiscamingue. Under SSP2-4.5 and SSP3-7.0, SPI values indicate mildly to moderately dry conditions persisting in these northern regions up to 2100, with Rouyn-Noranda exhibiting the most negative SPI values (reaching -1.40). In contrast, Vallée-de-l’Or and Témiscamingue maintain positive SPI values, suggesting conditions ranging from near normal to moderately wet. Interestingly, SPI projections under the high-emission SSP5-8.5 scenario do not show additional drought intensification beyond those observed under SSP3-7.0, indicating a possible saturation in SPI response or the influence of regional water management adaptations. While increased precipitation under higher emissions may appear beneficial, the SPI’s exclusion of temperature-driven evapotranspiration could limit its ability to capture the full scope of drought risk. These findings highlight the persistence of mild to moderate drought conditions in northern AT, the normalization of water stress in vulnerable municipalities, and the urgent need to consider both climatic and socio-demographic factors in regional adaptation strategies. This research contributes to understanding of how climate change will shape hydroclimatic extremes in high-latitude continental regions of Canada.<br>