cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e245954
title: ECIN Replication Package for "Financial Suicide: Debt and Death across US Counties during the Great Recession"

description: Exploiting variation in debt-to-income ratios across US counties at the onset of the Great Recession, we investigate the impact of debt exposure on suicide. We find that more indebted counties saw a significant rise in suicide rates, with effects double for men and triple among adults ages 40-64. These patterns align with financial responsibilities: men are primary borrowers on mortgages, and middle-aged adults hold the most secured debt. The impact of debt on suicide behavior, with annual costs of several billion dollars, underscores the welfare implications of inflexible household debt instruments.
DOI: 10.3886/e245954v1
title: ECIN Replication Package for "Financial Suicide: Debt and Death across US Counties during the Great Recession"

description: Exploiting variation in debt-to-income ratios across US counties at the onset of the Great Recession, we investigate the impact of debt exposure on suicide. We find that more indebted counties saw a significant rise in suicide rates, with effects double for men and triple among adults ages 40-64. These patterns align with financial responsibilities: men are primary borrowers on mortgages, and middle-aged adults hold the most secured debt. The impact of debt on suicide behavior, with annual costs of several billion dollars, underscores the welfare implications of inflexible household debt instruments.
DOI: 10.7910/dvn/wnr9ko
title: Bias detection in polish journalism

description: The dataset contains a list of articles gathered from various polish media outlets on many topics. The articles have been judged for subjectivity using 4 LLMs: 
 "bielik": {
 "repo": "speakleash/Bielik-11B-v3.0-Instruct-GGUF",
 "filename": "Bielik-11B-v3.0-Instruct.Q4_K_M.gguf",
 "description": "Bielik 11B v3.0 - Specialized for Polish."
 },
 "llama3": {
 "repo": "QuantFactory/Meta-Llama-3-8B-Instruct-GGUF",
 "filename": "Meta-Llama-3-8B-Instruct.Q4_K_M.gguf",
 "description": "Meta Llama 3 8B Instruct - Strong general capability."
 },
 "mistral": {
 "repo": "TheBloke/OpenHermes-2.5-Mistral-7B-GGUF",
 "filename": "openhermes-2.5-mistral-7b.Q4_K_M.gguf",
 "description": "OpenHermes 2.5 (Mistral 7B) - Excellent instruction following."
 },
 "deepseek": {
 "repo": "bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF",
 "filename": "DeepSeek-R1-Distill-Llama-8B-Q4_K_M.gguf",
 "description": "DeepSeek R1 Distill Llama 8B - Strong reasoning model."
 }

The average review contains all of the reviews with reasoning and score, as well as a choice, which model (based on the average score) was closest to it.

The individual files with modelname_trim syntax are a result of using the model as an LLM-as-a-judge, for determining which model gave the best response.

A README and regenerator.py script have been provided to recreate the text used in the articles. 

Other scripting (training, LLM server etc.) can be found in the project's repo:
https://github.com/JakubLegutko/SentimentDetector
DOI: 10.7910/dvn/t0sre3
title: Replication Data for: In the shadow of the European Council: When and how do national leaders influence everyday law-making?

description: The do file and datasets that can be accessed here allow for the replication of the models and figures presented in the article and online appendices on "In the shadow of the European Council: When and how do national leaders influence everyday law-making?"
DOI: 10.7910/dvn/29mxkn
title: Replication Data for: Bias–Variance Propagation from Precision Matrix Estimation to Minimum-Variance Portfolios

description: This Dataset contains R scripts and R objects (.RData) to reproduce the simulation study reported in the paper. The dataset includes: (i) code to generate synthetic data under the considered generating processes; (ii) estimation routines; and (iii) results saved as .RData to allow rebuilding paper outputs without rerunning computationally expensive steps.
DOI: 10.7910/dvn/3rendr
title: The Great Unreferenced: EMNP Reference Network Data

description: This dataset contains the node list and edge lists derived from a corpus of early modern natural philosophy works that underlie the European Research Commission-funded Starting Grant “The Normalisation of Natural Philosophy: How Teaching Practices Shaped the Evolution of Early Modern Science,” (grant agreement No. 801653 NaturalPhilosophy).

The methodology behind the retrieval and post-processing of this dataset is described in:

Donker, Silvia "The Great Unreferenced. Citation Patterns in Early Modern Natural Philosophy" Journal of Cultural Analytics [details forthcoming upon publication]
DOI: 10.5281/zenodo.14617594
title: The role of gut microbes in production of aromatic carboxaldehydes

description: Source data for mansuckipt Kumar et al. The role of gut microbes in production of aromatic carboxaldehydes
DOI: 10.5281/zenodo.14617593
title: The role of gut microbes in production of aromatic carboxaldehydes

description: Source data for mansuckipt Kumar et al. The role of gut microbes in production of aromatic carboxaldehydes
DOI: 10.15468/dl.3fnvt3
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.40605 16.11609,-95.85891 16.11609,-95.85891 17.39289,-97.40605 17.39289,-97.40605 16.11609))",
 "HasCoordinate is true",
 "TaxonKey is Strategus aloeus"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004224-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8hpxr
title: Occurrence Download

description: A dataset containing 473601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-103.535 26.917,-59.59 26.917,-59.59 55.088,-103.535 55.088,-103.535 26.917))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus",
 "Year 1987-2025"
 ]
}

 The dataset includes 473601 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004214-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdah63
title: Occurrence Download

description: A dataset containing 723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nodipecten nodosus"
 ]
}

 The dataset includes 723 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004225-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dgwcd.v8
title: Interpretation Manual of European Union Habitats raw list (Habitats Directive Annex I)
DOI: 10.26027/data9fozfb
title: Broadband acoustic backscattering measurements from the Connecticut River

description: These data included broadband echosounder data measured as part of the ONR Under Sea Remote Sensing (USRS) project. These observations data
acquired around the ebb plume from of the Connecticut River using a downward-looking pole mounted system and a Remus 100 vehicle. The downward-looking, pole samples were recorded during transects with R/V Dawn Treader, which was equipped with Simrad ES70-7C and ES120-7C split beam transducers. The Remus 100 vehicle was equipped with upward-looking echosounders (Simrad model ES200-7CDK split beam and ES333-7CDK single beam) operated in an upward looking configuration from a REMUS 100. All measurements are associated with transects of the ebb plume front and are dominated by scattering from bubbles entrained in the vicinity of the front and scattering from turbulent mixing and stratification at the base of the river plume.
description: During sampling the Remus 100 and R/V Dawn Treader crossed the ebb plume front. Throughout the sampling the echosounders pinged continuously to acquire high-resolution measurements of acoustics scattering throughout the water column. The raw data was processed to created calibration echograms containing volume backscattering coefficients [dB re 1/m]. Supporting variables include depth (or range) vectors, distance along the transect, geographic coordinates, and timestamps such that the observations can be aligned with other measurements from the campaign. The instruments were calibrated following standard sphere calibration techniques.
DOI: 10.5517/ccdc.csd.cc2j9n1k
title: CCDC 2332968: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar Rai, Amirul Islam, Rudra Shankar Pati, Gouriprasanna Roy|2025|Chem.-Eur.J.|31|e202403483|doi:10.1002/chem.202403483
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j9n2l
title: CCDC 2332969: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar Rai, Amirul Islam, Rudra Shankar Pati, Gouriprasanna Roy|2025|Chem.-Eur.J.|31|e202403483|doi:10.1002/chem.202403483
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jxl13
title: CCDC 2351165: Experimental Crystal Structure Determination

description: Related Article: Javier Besteiro-Sáez, Luis M. Mateo, Sergio Salaverría, Tao Wang, Paula Angulo-Portugal, Jan Patrick Calupitan, Jonathan Rodríguez-Fernández, Amador García-Fuente, Jaime Ferrer, Dolores Pérez, Martina Corso, Dimas G. de Oteyza, Diego Peña|2024|Angew.Chem.,Int.Ed.|63|e202411861|doi:10.1002/anie.202411861
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jxl24
title: CCDC 2351166: Experimental Crystal Structure Determination

description: Related Article: Javier Besteiro-Sáez, Luis M. Mateo, Sergio Salaverría, Tao Wang, Paula Angulo-Portugal, Jan Patrick Calupitan, Jonathan Rodríguez-Fernández, Amador García-Fuente, Jaime Ferrer, Dolores Pérez, Martina Corso, Dimas G. de Oteyza, Diego Peña|2024|Angew.Chem.,Int.Ed.|63|e202411861|doi:10.1002/anie.202411861
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k5dfl
title: CCDC 2358679: Experimental Crystal Structure Determination

description: Related Article: Zhenhao Zhong, Brad J. W. Hocking, Charles P. Brown, Tsz-Kan Ma, Andrew J. P. White, David J. Mann, Alan Armstrong, James A. Bull|2025|Angew.Chem.,Int.Ed.|64|e202420028|doi:10.1002/anie.202420028
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7910/dvn/xkwjv1
title: Treatment Processes Reported by US Public Water Systems (2004-2020)

description: This repository holds records on treatment processes and objectives reported by United States (US) public water systems from 2004-2020. These data were obtained via a Freedom of Information Act request made to the US Environmental Protection Agency in June 2020. Data were reported quarterly. Please refer to the associated publication (Liddie et al., 2026) for additional details on these data. Please cite both this repository and the publication if you use or refer to these data.
description: For earlier years (2004-2008), only data from the third quarter were provided. Although some files refer to "Q4" (2010-2012) or "Q3" (2009), data from the third or fourth quarter are also included in those files. More recent data can be obtained from the US EPA's Safe Drinking Water Information System.
DOI: 10.20383/103.01054
title: DNA aptamers for common buffer molecules: possibility of buffer interference in SELEX

description: During a typical aptamer selection experiment, buffer molecules are used at 10 to 50 mM, whereas target molecules could be used at much lower concentrations even in low µM levels. Therefore, doubts existed regarding the potential enrichment of buffer binding aptamers, particularly for failed selections that cannot validate binding of enriched sequences. In this study, we respectively used two common buffer molecules, Tris and HEPES, as target molecules. While we successfully isolated aptamers for Tris buffer, our attempts to generate aptamers for HEPES buffer failed. Thioflavin T (ThT) fluorescence spectroscopy confirmed the dissociation constant of the Tris buffer aptamer to be 2.9 mM, while isothermal titration calorimitry showed a Kd of 43 µM. NMR spectroscopy also confirmed aptamer binding. Finally, we discussed the implications of this buffer selection work and recommended the use of certain buffers.
DOI: 10.20383/103.0998
title: Dataset for Analyzing the Citation Impact of Predatory Journals in Health Sciences

description: This dataset contains the data collected from 26 known predatory journals in health sciences and their associated citation information retrieved from the Web of Science.
DOI: 10.20383/103.01307
title: SuperDARN 2023 RAWACF

description: SuperDARN RAWACF files for the calendar year 2023. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.20383/103.01000
title: Dynamics of Response Reaction Time Distributions

description: Includes data taken from two datasets. The first dataset is using a cross-sectional methodology to collect replay files from the game StarCraft 2 where each participant contributes a single game. This data was initially collected with the goal of using video game data analogously to how games like chess have previously been used in Cognitive Science. We first determined which variables were related to the development of skill since StarCraft 2 provides a ranking system which allows skill level to be measured. Reaction Times were found to be a high predictor of skill. We also studied the relationship between age and skill and found that cognitive decline, as measured by increasing reaction times, began in the mid 20s. We also studied such things as motor chunking and carried out sentiment analysis on chat data. The second dataset is longitudinal in nature where several replays from each participant are collected. So far we have used this dataset to study learning transfer. The Dynamics of Reaction Time Distributions project examined reaction time distributions using both of these datasets. The data included here are subsets of these two datasets selected for the Dynamics of Reaction Time Distributions project and include a limited subset of both of these datasets. Other parts of these datasets are available, linked to below, the corresponding author can also be contacted if further information is desired. The folders are set up so as to be prepared for the data analysis, this includes two empty folders called "OutputData" where data from running the data processing gets stored in preparation for running the final analysis scripts. The code necessary for the data processing and analysis are included here in a subdirectory. Running the code runs MLE on reaction times for individual games of StarCraft 2 for the Generalized Beta 2 (GB2) and ex-Gaussian distributions, parameters for the distributions are collected and the AICs are collected alongside some descriptive statistics. These distributions are compared and ranked in relation to each other and the AIC weight is taken, this allows us to classify the distribution best fits into three categories 1) GB2, 2) ex-Gaussian, and 3) Inconclusive. Then the ratios of distribution best fits to total games can be taken and the proportions of each distribution for both the cross-sectional and longitudinal datasets can be compared to each other. Further analyses is carried out for the cross-sectional data, ANOVA and Tukey HSD are run on the distribution parameters relative to skill. For the longitudinal data linear mixed effects models are run on the parameters relative to experience, correlations between the parameters and median reaction time are also taken alongside other related correlations. Lastly an individual differences analysis is carried out through data visualization. Several plots are produced which show individual players change over time relative to each other on several variables relative to skill.
DOI: 10.7910/dvn/psdxdm
title: Replication Data for: Characteristics of 'Early Adopters' of Water Treatment Capacity Needed to Remove PFAS and other Emerging Contaminants in the United States

description: This repository holds replication datasets for the study titled, "Characteristics of 'Early Adopters' of Water Treatment Capacity Needed to Remove PFAS and other Emerging Contaminants in the United States." Additional information is available in the readme file for download.
description: Please contact the corresponding author for any requests regarding the bootstrapped regression results.
DOI: 10.6084/m9.figshare.28430513.v1
title: Intertidal Rockweed and Oysters in Great Bay, New Hampshire - Monitoring Dataset

description: <b>Investigators</b>Ray Grizzle, David Burdick, Krystin Ward, Gregg Moore, Lauren White, and Grant McKown<b>Organization</b>Jackson Estuarine Laboratory, School of Marine Sciences & Ocean Engineering, University of New Hampshire<b>Contact</b>Grant McKown, james.mckown@usnh.edu or jgrantmck@gmail.com<b>Project Description</b>Rockweed macroalgae (Ascophyllum and Fucus sp.) was mapped through automated classification in Google Earth Engine using 2015 Leaf-off Imagery and 2012 - 2016 NAIP imagery. Thresholds were assigned to pre-selected remote sensing indices (Brown Algae Index, Water Index, Red - Blue Ratio, and Elevation). Preliminary classification of rockweed distribution was then refined through boat field surveys to remove erroneously classified salt marshes and overhanging canopy, which is inherent to the classification process. Accuracy assessments were carried out (n = 230 points) across the estuary and an overall accuracy of 90.5% was observed. Field survey sites (n = 25) were extracted from rockweed distribution and surveyed for eastern oyster and mussel use underneath rockweed canopy. Salinity metrics for each region of Great Bay were calculated from SWMP water quality datasondes between 2015 - 2023.
DOI: 10.34740/kaggle/dsv/14935037
title: Mobile Network Traffic Dataset
DOI: 10.15468/dl.5vyc8n
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.03086 16.51167,-96.08734 16.51167,-96.08734 17.28767,-97.03086 17.28767,-97.03086 16.51167))",
 "HasCoordinate is true",
 "TaxonKey is Strategus aloeus"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004227-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18746485
title: Tungsten mediated isocyanide coupling revisited

description: DFT calculation results related to a publication in Organometallics 2026, description of methods, cartesian coordinates of calculated molecules
DOI: 10.5281/zenodo.18746486
title: Tungsten mediated isocyanide coupling revisited

description: DFT calculation results related to a publication in Organometallics 2026, description of methods, cartesian coordinates of calculated molecules
DOI: 10.5281/zenodo.18715891
title: Persona-Based Agents for Video Game Playtesting: A Systematic Survey

description: Description

This dataset contains the complete metadata and search materials used to conduct the systematic survey, including database queries, snowballing results, and structured data extraction of the selected studies.

It supports transparency and reproducibility of the review process, following PRISMA-based screening and backward and forward snowballing procedures as described in the associated paper.

Content



papers-found-through-query-search.xlsxMetadata of all records retrieved from database searches prior to screening.

papers-found-through-snowball.xlsxRecords identified through backward and forward snowballing procedures.

search-strings.pdfComplete search strings used across Scopus, IEEE Xplore, ACM Digital Library, Engineering Village (Compendex), and ScienceDirect.

survey-dataset-with-selected-papers-data.xlsxStructured extraction table for the final set of included studies, containing bibliographic metadata and coded analysis variables used in the survey.