cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/x8mdub
title: Replication Data for: Nationality Swapping in the Olympic Games 1978-2017: A Supervised Machine Learning Approach to Analysing Discourses of Citizenship and Nationhood

description: Abstract: While the practice of nationality swapping in sports traces back as far as the Ancient Olympics, it seems to have accelerated over the past decades. Cases of Olympic athletes who switched their national allegiances are often surrounded with controversy. Two strands of thought could help explain this controversy. First, these cases are believed to be indicative of the marketisation of citizenship. Second, these cases challenge established discourses of national identity as the question ‘who may represent the nation?’ becomes contested. Using state-of-the-art machine learning techniques, I analysed 1534 English language newspaper articles about Olympic athletes who switched their nationalities (1978-2017). The results indicate (i) that switching national allegiance has not necessarily become more controversial, (ii) that most media reports do not frame nationality swapping in economic terms, and (iii) that nationality swapping oftentimes takes places rather unnoticed. I therefore conclude that a marketisation of citizenship is less apparent in nationality switching than some claim. Moreover, nationality switches are often mentioned rather casually, indicating the generally banal character of nationalism. Only under certain conditions ‘hot’ nationalism sparks the issue of nationhood.
description: Please contact the author for information about and access to the corpus of newspaper articles.
DOI: 10.7910/dvn/4nhrxg
title: Data on the Rapid Assessment of Integrated Supports on Aquaculture and Poultry Rearing along with Horticulture at the Phase 2 Unions of Suchana in Sylhet and Moulvibazar

description: It is detailed data set on Rapid Assessment of Integrated Supports on Aquaculture and Poultry Rearing along with Horticulture at the Phase 2 Unions of Suchana in Sylhet and Moulvibazar
description: SPSS
description: Type: Dataset; Sub-type(s): Socio-Economic Survey Data
DOI: 10.7910/dvn/dkovla
title: COVID-19 TweetIDs

description: The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020. We used the Twitter’s search API to gather historical Tweets from the preceding 7 days, leading to the first Tweets in our data set dating back to January 21, 2020. We leveraged Twitter’s streaming API to follow specified accounts and also collect in real-time tweets that mention specific keywords. To comply with Twitter’s Terms of Service, we are only publicly releasing the Tweet IDs of the collected Tweets. The data is released for non-commercial research use.

More details regarding data format, collection time frames and usage can be found in the included README. 

Our most up to date data set can be found here: https://github.com/echen102/COVID-19-TweetIDs
DOI: 10.57992/nmrxiv.p28.s1278.d5535
title: Artemisinin[2]

description: 2
DOI: 10.57992/nmrxiv.p28.s1278.d5536
title: Artemisinin[3]

description: 3
DOI: 10.57992/nmrxiv.p28.s1278.d5537
title: Artemisinin[4]

description: 4
DOI: 10.57992/nmrxiv.p28.s1278.d5538
title: Artemisinin[5]

description: 5
DOI: 10.57992/nmrxiv.p28.s1278.d5539
title: Artemisinin[6]

description: 6
DOI: 10.15468/dl.29t5rv
title: Occurrence Download

description: A dataset containing 1028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Philosciidae",
 "Year 2005-2007",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 1028 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049811-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yf4q2q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens balsamina",
 "Country is Saint Lucia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049814-250811113504898/datasets/export for details.
DOI: 10.15468/dl.ruhdnn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is ",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025005-250811113504898/datasets/export for details.
DOI: 10.15468/dl.3yyn72
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calotropis gigantea",
 "Country is Kiribati",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025002-250811113504898/datasets/export for details.
DOI: 10.15468/dl.pgcth7
title: Occurrence Download

description: A dataset containing 1414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is ECU.9_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Chelonoidis niger, Chelonoidis)"
 ]
}

 The dataset includes 1414 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025763-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.999995
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera glazioviana",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 300 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025762-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.us4yk4
title: Occurrence Download

description: A dataset containing 882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Africa",
 "Country is one of (Réunion, South Africa, Mozambique, Eswatini, Madagascar, Mauritius)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Données d’observations floristiques agrégées au sein de Mascarine (CBN-CPIE Mascarin) - Données d’observations floristiques acquises par le CBN-CPIE Mascarin, INPN - Données flore des CBN agrégées par la FCBN, Pl@ntNet automatically identified occurrences, Botanical Database of Southern Africa (BODATSA): Botanical Collections, WIKTROP - Weed Identification and Knowledge in the Tropical and Mediterranean areas, Pl@ntNet observations, Tropicos Specimens Non-MO, Naturalis Biodiversity Center (NL) - Botany, SANParks Herbarium Data for the Skukuza Herbarium, CardObs : Observations naturalistes issues de l'outil de saisie et gestion CardObs mis en place par le Service du Patrimoine Naturel (MNHN) / UMS PatriNat (OFB - CNRS - MNHN) - Données naturalistes d'Olivier ESCUDER)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862, da86174a-a605-43a4-a5e8-53d484152cd3, c5f7ef70-e233-11d9-a4d6-b8a03c50a862, a269a54f-fc5f-4d56-87d5-3e807a5b25d3, f077abf7-3e12-4e23-bfc3-9573dfdb009a, 396d5f30-dea9-11db-8ab4-b8a03c50a862, 90fd6680-349f-11d8-aa2d-b8a03c50a862)",
 "TaxonKey is Parthenium hysterophorus"
 ]
}

 The dataset includes 882 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025764-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwszpn
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex acetosella L.",
 "Country is Türkiye"
 ]
}

 The dataset includes 142 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010289-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v9xbtfywpb
title: Dataset Score Bebé

description: Accessibility assessment with WCAG 2.1 on the Score Bebé website.
DOI: 10.25403/upresearchdata.26246546.v1
title: Dealing with the attitudes, beliefs and strategies employed by professional and pre-service educators in the application of mobile apps in English language classroom

description: These datasets consist of primary and secondary datasets compiled from semi-structured interviews. The datasets are for a masters dissertation focusing on how mobile apps can be utilised in English Language education to enhance multiliteracies in the classroom. The primary datasets are transcripts derived from semi-structured interviews with high school English language educators. The transcripts entail educators' views and strategies when utilising mobile apps in the English language classroom. The secondary datasets consist of transcripts derived from a previous study, where pre-service educators were interviewed about their use and views of mobile apps in the classroom.
DOI: 10.6084/m9.figshare.13238861.v4
title: Scientific narratives about academic time management

description: The purpose of this article is to critically analyze the dominant scientific narratives on the study of the effective use of time by students and to rekindle interest in this issue based on the most recent findings in socio-humanistic research. To this end, this study was designed based on a critical review of the literature from 1990 to 2020. The Wos of Science and Scopus databases were consulted. A total of 45 papers met the inclusion criteria.A literature review was carried out to gain more in-depth knowledge of the narratives and accounts provided by researchers regarding students’ academic time management. The keywords selected were extracted from ERIC and the search timeline comprised papers published between 1990 and 2020. The search databases selected were Web of Science (Wos) and Scopus. The search terms were combined based on the following expressions (time management AND race, time management AND minority groups; time management AND gender differences, time management AND ADHD, time management AND disabilities). Selection criteria (1) Extracted from relevant sources such as high impact and peer review journals. (2) Published in English or Spanish. (3) Including the search terms mentioned in the title, keywords or abstract. (4) Methodological pluralism (quantitative, qualitative or mixed methods). (5) Sample studied: students from primary, middle, high school and college.Selection of studies Following the timelines and search terms specified, 75 results were obtained from the databases. Twelve of these were eliminated as they appeared in both databases, while a further 18 were not considered suitable for the sample studied. Forty-five papers were selected in total.
DOI: 10.17632/4zmkpw3wxx
title: Machine Learning for Predicting Activation Energies and Understanding the Brønsted–Evans–Polanyi Relation in MXene-Catalyzed Water Gas Shift Reactions

description: This dataset supports the publication titled "A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water Gas Shift Catalysis on MXenes", offering machine learning workflows and curated data for predicting activation energies in catalysis.

It includes:

Comprehensive Dataset on MXene Catalytic Properties (2025):
A curated dataset of 92 MXenes, covering single (M₂C, M₂N) and dual-transition-metal (M'₂M''C₂) compositions. For each MXene, density functional theory (DFT)-derived activation energies are provided for four key reactions in the water-gas shift (WGS) process: water (H₂O) and hydroxyl (OH) dissociation, and hydrogen (H₂) and carbon dioxide (CO₂) formation. Additional structural and physicochemical descriptors are included.

Machine Learning Models for Activation Energy Prediction (Python Notebook):
A Python notebook implementing multiple ML algorithms—Random Forest, Gradient Boosting, ANN, SVM, Decision Tree, and KNN—to predict activation energies. The Random Forest Regressor (RFR) is identified as the best-performing model based on accuracy and robustness. The notebook includes full data processing, training, testing, and feature importance analysis.

Key Insights:

Reaction energy and LogP (logarithmic partition coefficient) are the most predictive features.

The findings support and quantify the Brønsted–Evans–Polanyi (BEP) relationship, linking thermodynamics and kinetics of catalytic reactions.

This dataset and analysis aim to guide the design of efficient MXene-based catalysts using interpretable machine learning approaches.
DOI: 10.17632/xgmxytbmnt
title: New Energy Bound-Based Model for Optimal Charging of Electric Vehicles with Solar Photovoltaic Considering Low-Voltage Network's Constraints

description: This directory contains the following datasets: SOURCE CODE Three scripts in Python are included to obtain the parameters of the whole network and test the proposed optimisation approach. SENSITIVITY MATRICES OF THE 905-NODES LOW-VOLTAGE FEEDER * dVcal.txt: voltage sensitivity matrix of household nodes due to the addition of load, expressed in V/kW * dVGen.txt: voltage sensitivity matrix of household nodes due to the addition of generation, expressed in V/kW * dLline.txt: loading sensitivity matrix of the feeder's main cable due to the addition of load, expressed in kW/kW * dLlineGen.txt: loading sensitivity matrix of the feeder's main cable due to the addition of generation, expressed in kW/kW * dStcal.txt: loading sensitivity matrix of the distribution transformer due to the addition of load, expressed in kW/kW * dStGen.txt: loading sensitivity matrix of the distribution transformer due to the addition of generation, expressed in kW/kW INITIAL VOLTAGES AND LOADING LEVELS These data were obtained for a test period of 30 hours with a 10-minute interval (i.e., 180 slots of time). * Vini.txt: time-series of voltage per phase for every household node obtained from the unbalanced quasi-dynamic power flow (QDPF) * PLini.txt: time-series of loading per phase for the feeder's main cable obtained from the unbalanced QDPF * STini.txt: time-series of loading per phase for the distribution transformer obtained from the unbalanced QDPF INPUT AND ADDITIONAL PARAMETERS Both folders "Winter parameters" and "Summer parameters" contain 100 text files, which correspond to each simulated scenario, numbered from one to one hundred for the following variables: * DtX.txt: the daily travelled distance of each EV for scenario X * e_arrX.txt: the arrival energy level of each EV for scenario X * taIntX.txt: the arrival time interval of each EV for scenario X * tpIntX.txt: the number of time intervals of each EV parked at home for scenario X * e_reqX.txt: the objective energy level of each EV for scenario X * xX.txt: the availability of each EV for scenario X, which is based on taIntX.txt and tpIntX.txt * eLowerX.txt: the lower energy boundary of each EV for scenario X * eUpperX.txt: the upper energy boundary of each EV for scenario X * PpvX.txt: time-series of PV power output for scenario X It is also included the IEEE LV network in PowerFactory V15.1 with a series of EVs and PVs. These have a time-series profile assigned from the proposed optimisation problem results. Additionally, the parameters and results obtained by comparing the addition of network constraints are included.
DOI: 10.6084/m9.figshare.20522806.v2
title: Maximum temperature (PISCOt v1.2)

description: Maximum air temperature from PISCOt v1.2. (i) Monthly means (normals) are provided in one file. (ii) Daily values are divided per year from 1981 to 2020. (i) and (ii) are the results from the climate-aided interpolation at normal- and daily-scale, respectively.
DOI: 10.6084/m9.figshare.25562919.v1
title: Species tree

description: Files needed to create the species tree used in the study, as well as the actual species tree (.timetree file, either in newick or nexus format)
DOI: 10.17632/5c38kwjyp6
title:  El pensamiento complejo como enfoque del proyecto arquitectónico: Caso de estudio proyecto de Museo de Ciencia y Tecnología en el Parque La Carolina, Quito- Ecuador

description: El presente artículo expone el proyecto “Museo de Ciencia y Tecnología en el Parque La Carolina, Quito” fruto de un trabajo de fin de máster que se enfoca en la búsqueda del papel de arquitectura en la condición contemporánea. Para esto se basa en la propuesta del “Pensamiento complejo” de Edgar Morin, utiliza una metodología de inclusión de insumos para las estrategias de proyecto a través de matrices no jerárquicas, en las que se incluyen los conceptos de medios de vida, modelos de gestión, software paramétrico y pensamiento prospectivo como sistemas estructurantes, y, se verifican desde tres escalas: 1) la barrial que genera las interacciones del edificio con un rol urbano, 2) la del edificio mismo desde su forma y por tanto el lenguaje que representa, y 3) de uso, en la que se evidencia que el espacio generado es útil para la actividad que debe cumplir.
DOI: 10.4225/49/5a26254b36cdf
title: MHFA meta-analysis data extraction.xlsx

description: Outcome data extracted for meta-analysis of the Mental Health First Aid training program.
DOI: 10.6084/m9.figshare.12284126.v1
title: Data TRA Cyberloafing.sav

description: TRA - Cyberloafing
DOI: 10.6084/m9.figshare.12671084.v2
title: SI Donor and Acceptor Units in Cycloparaphenylenes.zip

description: Output files for coordinates and StrainViz fragments
DOI: 10.6084/m9.figshare.21173938.v1
title: Stress-strain_SampleC2.xlsx

description: Sample_C2
DOI: 10.6084/m9.figshare.26095537.v2
title: Geospatial Nightlight Dataset for Sub-districts of India

description: Geospatial data have become a valuable asset in the 21st century with its applications in almost everyday life and an overriding scope in the field of research. One such growing spatial data is the remotely sensed nighttime lights (NTL) imagery, which simply is a depiction of human activities around the globe at night. It may be a stunning visual to many yet the valuable insights it provides in measuring a number of parameters like population, poverty, electrification, migration, disaster, health, fishing, fires, GDP, pollution, urbanization, settlement, etc. have made researchers and scientists look up to this data to validate and evaluate socio-economic and other indicators independently and concurrently. Apart from using as a proxy in many researches, NTL allows to track statistics of region where data is often not collected or is not reliable. It has potential applications for policy makers and government in the decision making processes. Nighttime lights were in used since the mid 1990's and are publicly made available from 1992 onwards through the Defense Meteorological Satellite Program (DMSP) provided by National Ocean and Atmospheric Administration (NOAA). A more advance system called Visible Infrared Imaging Radiometer Suite (VIIRS) Day Night band (DNB) replaces DMSP system. The extraction provided uses VIIRS monthly aggregates with spatial polygon units of India at sub-districts level. The monthly raw dataset is available from April 2012 onwards. This extraction cover 141 months till December 2023. The primary intent is to disseminate the dataset to a larger audience, be it researcher or policy analyst and planners. The broader objective is to keep on updating the data continuously.
DOI: 10.17632/h6gc6wtr62
title: 500 Functional Genomics (500FG)

description: Data accompanying the following paper: https://pubmed.ncbi.nlm.nih.gov/27814508/ Files: - 500FG_hostEnvironmentFactors.xlsx --&gt; the main host and environmental characteristics used in the paper - 500FG_cytokineProductionCapacity.xlsx --&gt; cytokine production after stimulation (in whole blood, macrophages and PBMC) with various pathogens and compounds in vitro. Columns are named for example "C. albicans conidia_Macrophage_24h_TNF-a", starting with the stimulus used, the cell-type used, duration of stimulation and cytokine measured. All measurements are in pg/ml. - 500FG_inflammatoryMarkers_PlasmaSerum.xlsx --&gt; markers of inflammation used in the paper - 500FG_immunoglobulins.xlsx --&gt; immunoglobulins (IgG, IgA, IgM, IgG1, IgG2, IgG3, IgG4) - 500FG_steroidHormoneDataSel.xlsx --&gt; testosterone, progesterone and Vit. D Each volunteer has been an identified starting with "HV" (healthy volunteer) followed by three digits. If you have any questions about this data please contact Dr. Martin Jaeger (Martin.Jaeger@radboudumc.nl) or Prof. Dr. Mihai Netea (Mihai.Netea@radboudumc.nl)
DOI: 10.17632/j9srxj9mvd
title: A dataset of sandfly (Ph. papatasi, Ph. alexandri, and Ph. sergenti) genital and pharyngeal images

description: The dataset contains genital and pharyngeal images of three sandfly species: Ph. papatasi, Ph. alexandri, and Ph. sergenti. The dataset is organized into three folders: one for the original images, another for the cropped images containing only the object of interest, and the last folder for the stitched images, which contain the genital and pharyngeal images stitched into one image per sample.
DOI: 10.6084/m9.figshare.5773833.v1
title: Markers of error, conflict, and inhibition review table

description: File "Markers of error, conflict, and inhibition review table.xlsx" is a literature review for the project Attentional selection in the situation of cognitive conflict: dissociation between markers of error and error awareness. Project page at ResearchGate: https://www.researchgate.net/project/Attentional-selection-in-the-situation-of-cognitive-conflict-dissociation-between-markers-of-error-and-error-awareness. The "DATA" list contains structured review of 128 papers published from 1977 (one paper) to 2016. Description of the data, variables and license are at the "METADATA" list. If you have any questions please feel free to contact me through (you can find it at the metadata).<br>
DOI: 10.17632/52py3ps9cr
title: Caribbean sea urchin diet (DNA metabarcoding) v2

description: Metabarcoding data obtained using COI Leray-XT primer sets on diet samples of four Caribbean sea urchin species at three sites of the northeastern coast of Puerto Rico. This is an updated version.
DOI: 10.6084/m9.figshare.12370106.v1
title: ProMIS NGS datasets - Test 1-4

description: NGS data output from Illumina NextSeq 500 generated in the proof-of-concept study for the ProMIS assay.<br>NGS raw data (BCL files) generated from the NextSeq 500 was demultiplexed by the sample index reads using bcl2fastq2 Conversion Software v2.20 (Illumina) and ran through an in-house pipeline written in Java programming language to count the total number of scFv-specific tags for each sample available here:https://github.com/sunnyveerla/ProMIS/blob/master/ProMIS.java<br>For our analysis we used only reads that passed the sequencer chastity filter and had base call quality for each base over Q30 (Phred Quality score).<br>Data for Test 4 is divided into 2 parts due to file size limitation in Figshare.
DOI: 10.6084/m9.figshare.24265732.v2
title: A Bibliometric Analysis of Building Energy Simulation on Scopus Database

description: This is a file with a CSV format that contains 3,049 citation data in the field of building energy simulation, extracted from the Scopus citation database. Researchers have used this file to conduct bibliometric research.