cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17163677
title: Adoption of Robotic Process Automation Technology by Students to Support Academic Project and Research Efficiency

description: In this paper, we carried out a systematic literature review on students’ acquisition of Robotic Process Automation (RPA) in higher education. Kitchenham’s criteria and PRISMA framework were employed to review studies published between 2021 and 2025. The results indicate that adoptions are influenced by technological, individual, contextual, social and pedagogical influences. RPA promotes efficiency, accuracy, and productivity with automation of routine academic work along with it enables project-based learning and research. But there are obstacles including poor digital literacy, underfunded institutional support, and absent ethical and privacy guidelines. The review identifies opportunities and challenges, and provides recommendations for preparedness of institutions, appropriate training and governance frameworks. In general, RPA has great potential to change the academic routine and promote better educational outcomes if systematically incorporated in higher education.
DOI: 10.15139/s3/sziohd
title: Data Management and Sharing Plan for: Reducing Emergency Department Length of Stay and Specialty Consultation Wait Times for Patients with Headache

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.5281/zenodo.17669478
title: Dataset supporting the paper "Multilocus Sequence Typing (MLST) of Wolbachia strains infecting different Culex mosquito species in Côte d'Ivoire"

description: These data accompany the publication “Multilocus Sequence Typing (MLST) of Wolbachia strains infecting different Culex mosquito species in Côte d’Ivoire”They consist of three files, which are as follows:



COII gene sequences of Culex mosquito species caught in Côte d'Ivoire.

Alignment of coxA gene sequences of Wolbachia infected Culex mosquito species caught in Côte d'Ivoire.

Alignment of fbpA gene sequences of Wolbachia infected Culex mosquito species caught in Côte d'Ivoire.

Alignment of gatB gene sequences of Wolbachia infected Culex mosquito species caught in Côte d'Ivoire.

Alignment of ftsZ gene sequences of Wolbachia infected Culex mosquito species caught in Côte d'Ivoire.

Alignnment of MLST concatenated sequences.

Alignment of hcpA gene sequences of Wolbachia infected Culex mosquito species caught in Côte d'Ivoire.

The database generated in this study contains information on the morphological identification of Culex mosquito species, the mosquito collection sites, and data related to the natural infection of Culex species by Wolbachia.
DOI: 10.17632/56mccgjvjw
title: Lexicala

description: RDF version (with linking to the LiLa Knowledge Base) of The Lexicala Latin-French Dictionary (Lexicala by K DICTIONARIES: https://lexicala.com), a bilingual dictionary aimed at French-speaking readers learning Latin at a beginner or intermediate level. The dictionary contains 14,000 entries, 21,000 examples, and 38,000 translations. The words selected are those that form the basis of the Latin language for the period from the 1st century BC to the 1st century AD. The dictionary covers the fundamental lexicon of the works most frequently proposed in Latin classes, favoring authors from the end of the Republic and the 1st century of the Empire (Cicero, Caesar, Sallust, Livius, Seneca for prose writers; Virgil, Horace, Ovid for poets). Likewise, the proper names included in the dictionary have been selected because of their importance in Roman history or Greco-Latin civilization.
DOI: 10.17632/56mccgjvjw.1
title: Lexicala

description: RDF version (with linking to the LiLa Knowledge Base) of The Lexicala Latin-French Dictionary (Lexicala by K DICTIONARIES: https://lexicala.com), a bilingual dictionary aimed at French-speaking readers learning Latin at a beginner or intermediate level. The dictionary contains 14,000 entries, 21,000 examples, and 38,000 translations. The words selected are those that form the basis of the Latin language for the period from the 1st century BC to the 1st century AD. The dictionary covers the fundamental lexicon of the works most frequently proposed in Latin classes, favoring authors from the end of the Republic and the 1st century of the Empire (Cicero, Caesar, Sallust, Livius, Seneca for prose writers; Virgil, Horace, Ovid for poets). Likewise, the proper names included in the dictionary have been selected because of their importance in Roman history or Greco-Latin civilization.
DOI: 10.15468/dl.sqk8ff
title: Occurrence Download

description: A dataset containing 473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((32.89613 -9.11471,32.50888 -13.21681,33.20592 -15.20626,34.05785 -14.79481,33.43826 -16.13836,33.24464 -16.76971,34.67743 -17.50979,35.60681 -18.57754,35.87788 -16.76971,36.53619 -15.16889,35.37447 -13.44289,33.9804 -9.38226,32.89613 -9.11471))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culicidae"
 ]
}

 The dataset includes 473 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002326-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/vnpn1q
title: Data Management and Sharing Plan for: Peripheral Neuropathy Research Registry

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.17632/6xrgpmm3n8
title: De Trinitate

description: De Trinitate is a prose work in 15 books by Augustine of Hippo written in the 4th century AD. The book discusses the Trinity in context of the Logos. The source of the Latin text is The Latin Library (http://www.thelatinlibrary.com/august.html).
DOI: 10.17632/6xrgpmm3n8.1
title: De Trinitate

description: De Trinitate is a prose work in 15 books by Augustine of Hippo written in the 4th century AD. The book discusses the Trinity in context of the Logos. The source of the Latin text is The Latin Library (http://www.thelatinlibrary.com/august.html).
DOI: 10.15468/dl.nmbeub
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Araceae [GBIF Backbone Taxonomy])",
 "GadmGid is one of (COL.30.25_2)",
 "StateProvince is one of (Tolima)"
 ]
 }
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002328-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fhbvr
title: Occurrence Download

description: A dataset containing 2501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippocampus guttulatus"
 ]
}

 The dataset includes 2501 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002329-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/8ae3f9ef-9a75-4237-afbd-e01abe02e75b
title: Presence and environmental data for the non-native common wall lizard (Podarcis muralis) in England, 2016-2018

description: The datasets contains species presence and background points, and their associated environmental data for non-native common wall lizard (Podarcis muralis). These data are included for local and national scale modelling of likelihood of species presence, as used in the modelling software MaxEnt. The .asc files included are the raw spatial data of parameters (i.e., distance to nearest road) used in modelling at various local regions, from which SWD 'samples with data' were extracted. Outputs from the local MaxEnt models produced the .txt files included. These serve as landscape layer inputs (habitat suitability and movement cost layers) for modelling population growth and spatial spread in the Individual based modelling platform, RangeShifter.

Subsequent outputs of projected population growth (number of individuals per landscape cell) and x/y coordinates for each cell, are presented in files with the prefix Pop.csv and avg.csv (averaged data over 50 replicate runs).
description: Presence data were obtained through field surveys and collation of citizen science reports recorded on the online platform bit/ly.uk.lizards. Records submitted by the public were verified through site visits. Spatial data of environmental parameters for modelling at local level were generated in ArcGIS, using inputs from OS data sourced from Digimap.edina.co.uk
DOI: 10.15139/s3/0jjoqf
title: Data Management and Sharing Plan for: Targeting EGFR for basal subtype cancer

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.u5ynbw
title: Occurrence Download

description: A dataset containing 428960 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NEON ticks sampled using drag cloths and tick pathogen status"
 ]
}

 The dataset includes 428960 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002325-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13818334
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15139/s3/bvd92j
title: Data Management and Sharing Plan for: The Carolina Endometrial Cancer Study: A population-based survivor cohort

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.5281/zenodo.17551818
title: Data - The Financial Toll of Climate-Induced Crop Losses

description: This repository contains the data and scripts required to reproduce the results of the manuscript "The Financial Toll of Climate-Induced Crop Losses" submitted to the Earth's Future journal. 

Brief description of project

This project has three main goals:



Quantify the financial impact of heat- and drought-induced crop (maize, wheat, and soybeans) losses

Attribute the economic damages from heat-induced crop losses to the CO2 emissions of high-income groups and the Carbon Majors companies

Project and compare the future financial impacts under different climate change and socioeconomic developments (SSPs)


Repository content



/data directory: contains the data to reproduce the panel regression analyses and plot the figures presented in the manuscript



/data/models: contains the fitted regression models

/data/historical: contains the historical (training) data used for model fitting and the outputs from the fitted model

/data/ssp: contains the SSP projection outputs from the fitted model

/data/resources: contains the raw data files used in this study



/scripts directory: contains the python scripts to run the panel regression model and to plot the figures presented in the manuscript



/scripts/linregress/run_linregress.py: script to fit the panel regression model

/scripts/plotting: contains scripts to plot all figures in the manuscript



plot_fig1_hist_dy_dp_maps.py: script to plot Figure 1 (maps and time series of historical crop yield and projection change)

plot_fig2_hist_de_degdp_maps.py: script to plot Figure 2 (maps and time series of historical economic impact of crop losses)

plot_fig3_income_groups.py: script to plot Figure 3 (maps and time series of crop yield, production and economic impact incurred by the CO2 emissions of top and bottom income groups)

plot_fig4_carbmaj.py: script to plot Figure 4 (maps and time series of crop yield, production and economic impact incurred by the CO2 emissions of the Carbon Majors)

plot_fig5_ssp_dy_dp_maps.py: script to plot Figure 5 (maps and time series of SSP projections of crop yield and production losses)

plot_fig6_ssp_de_degdp_maps.py: script to plot Figure 5 (maps and time series of SSP projections of the economic impact resulting from crop losses) 

SI_plot_figs1_crop_yield.py: script to plot Figure S1 (maps and time series of historical FAOSTAT crop yield)

SI_plot_figs2_tmax_spei.py: script tp plot Figure S2 (maps and time series of historical temperature and SPEI-12 climate data)

SI_plot_figs3_hist_dy_dp_bars.py: script to plot Figure S3 (bar charts of the historical yield and production change, broken down by crop type)

SI_plot_figs4_hist_de_degdp_bars.py: script to plot Figure S4 (bar charts of the historical economic losses, broken down by crop type)

SI_plot_figs5_hist_gdp_pp.py: script to plot Figure S5 (time series of historical GDP and producer prices for the three crops)



/scripts/utils.py: script containing various utility functions
DOI: 10.5281/zenodo.17670213
title: Data - The Financial Toll of Climate-Induced Crop Losses

description: This repository contains the data and scripts required to reproduce the results of the manuscript "The Financial Toll of Climate-Induced Crop Losses" submitted to the Earth's Future journal. 

Brief description of project

This project has three main goals:



Quantify the financial impact of heat- and drought-induced crop (maize, wheat, and soybeans) losses

Attribute the economic damages from heat-induced crop losses to the CO2 emissions of high-income groups and the Carbon Majors companies

Project and compare the future financial impacts under different climate change and socioeconomic developments (SSPs)


Repository content



/data directory: contains the data to reproduce the panel regression analyses and plot the figures presented in the manuscript



/data/models: contains the fitted regression models

/data/historical: contains the historical (training) data used for model fitting and the outputs from the fitted model

/data/ssp: contains the SSP projection outputs from the fitted model

/data/resources: contains the raw data files used in this study



/scripts directory: contains the python scripts to run the panel regression model and to plot the figures presented in the manuscript



/scripts/linregress/run_linregress.py: script to fit the panel regression model

/scripts/plotting: contains scripts to plot all figures in the manuscript



plot_fig1_hist_dy_dp_maps.py: script to plot Figure 1 (maps and time series of historical crop yield and projection change)

plot_fig2_hist_de_degdp_maps.py: script to plot Figure 2 (maps and time series of historical economic impact of crop losses)

plot_fig3_income_groups.py: script to plot Figure 3 (maps and time series of crop yield, production and economic impact incurred by the CO2 emissions of top and bottom income groups)

plot_fig4_carbmaj.py: script to plot Figure 4 (maps and time series of crop yield, production and economic impact incurred by the CO2 emissions of the Carbon Majors)

plot_fig5_ssp_dy_dp_maps.py: script to plot Figure 5 (maps and time series of SSP projections of crop yield and production losses)

plot_fig6_ssp_de_degdp_maps.py: script to plot Figure 5 (maps and time series of SSP projections of the economic impact resulting from crop losses) 

SI_plot_figs1_crop_yield.py: script to plot Figure S1 (maps and time series of historical FAOSTAT crop yield)

SI_plot_figs2_tmax_spei.py: script tp plot Figure S2 (maps and time series of historical temperature and SPEI-12 climate data)

SI_plot_figs3_hist_dy_dp_bars.py: script to plot Figure S3 (bar charts of the historical yield and production change, broken down by crop type)

SI_plot_figs4_hist_de_degdp_bars.py: script to plot Figure S4 (bar charts of the historical economic losses, broken down by crop type)

SI_plot_figs5_hist_gdp_pp.py: script to plot Figure S5 (time series of historical GDP and producer prices for the three crops)



/scripts/utils.py: script containing various utility functions
DOI: 10.17028/rd.lboro.26139394
title: Accompanying Data for "A novel robot-assisted calibration procedure for Optical Coordinate Measuring Systems"

description: The processed data for each of the three datasets used in the study are presented here. In each dataset folder there are four text files containing point data. A brief description is given here. Units in m."Laser Tracker Position.txt" contains the 3D position data for each point measured with the laser tracker and Optitrack."Laser Tracker Difference.txt" contains the 3D error identified at each point in the "Laser Tracker Position.txt" file. As described in the paper, the error is calculated as the difference between the laser tracker and the Optitrack measurement at common points in space."Ball Bar A.txt" and "Ball Bar B.txt" contains the 3D position of each end of the ball bar (A & B), which makes up the mesh pattern. The rows in each file match such that the difference between each row is the measurement of the ball bar length at that location.<br><br>The authors gratefully acknowledge the Research England Development Fund (part of UK Research and Innovation) for funding this work within the Midlands Centre for Data Driven Metrology. In addition, the authors would like to thank the Engineering and Physical Research Council, Loughborough University, and the Manufacturing Technology Centre for funding the PhD Studies of Connor Gill the lead author, who directly contributed to this work.
DOI: 10.17028/rd.lboro.26139394.v1
title: Accompanying Data for "A novel robot-assisted calibration procedure for Optical Coordinate Measuring Systems"

description: The processed data for each of the three datasets used in the study are presented here. In each dataset folder there are four text files containing point data. A brief description is given here. Units in m."Laser Tracker Position.txt" contains the 3D position data for each point measured with the laser tracker and Optitrack."Laser Tracker Difference.txt" contains the 3D error identified at each point in the "Laser Tracker Position.txt" file. As described in the paper, the error is calculated as the difference between the laser tracker and the Optitrack measurement at common points in space."Ball Bar A.txt" and "Ball Bar B.txt" contains the 3D position of each end of the ball bar (A & B), which makes up the mesh pattern. The rows in each file match such that the difference between each row is the measurement of the ball bar length at that location.<br><br>The authors gratefully acknowledge the Research England Development Fund (part of UK Research and Innovation) for funding this work within the Midlands Centre for Data Driven Metrology. In addition, the authors would like to thank the Engineering and Physical Research Council, Loughborough University, and the Manufacturing Technology Centre for funding the PhD Studies of Connor Gill the lead author, who directly contributed to this work.
DOI: 10.15468/dl.xdmagp
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Procolobus verus"
 ]
}

 The dataset includes 191 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002330-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fk22gu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "GadmGid is KAZ.9_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Thymus marschallianus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002331-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yrpdf
title: Occurrence Download

description: A dataset listing the 94 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((32.89613 -9.11471,32.50888 -13.21681,33.20592 -15.20626,34.05785 -14.79481,33.43826 -16.13836,33.24464 -16.76971,34.67743 -17.50979,35.60681 -18.57754,35.87788 -16.76971,36.53619 -15.16889,35.37447 -13.44289,33.9804 -9.38226,32.89613 -9.11471))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culicidae"
 ]
}

 The dataset's 94 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002327-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15015308
title: Cultus Lake 36-month time-series CO1 gene metabarcoding
DOI: 10.25376/hra.30670589
title: Clinically relevant dosing of miR-145 micelles curbs atherosclerosis in vivo.pdf

description: The information and data provided are corresponding to a study aiming to evaluate microRNA-145 delivery using nanoparticles as an RNA-based therapy for cardiovascular disease.
DOI: 10.25376/hra.30670589.v1
title: Clinically relevant dosing of miR-145 micelles curbs atherosclerosis in vivo.pdf

description: The information and data provided are corresponding to a study aiming to evaluate microRNA-145 delivery using nanoparticles as an RNA-based therapy for cardiovascular disease.
DOI: 10.25921/d58m-yw37
title: NOAA/WDS Paleoclimatology - Geologic and Palynological Data from Pleistocene Paleosols, Kotzebue, Alaska

description: Records of past vegetation and climate derived from pollen found in lake and ocean sediments. Parameter keywords describe what was measured in this data set.  Additional summary information can be found in the abstracts of papers listed in the data set citations.  Many data sets come from different collaborative databases, described on the Fossil and Surface Pollen Page (http://www.ncdc.noaa.gov/paleo/pollen.html).

description: Provided Keyword list: palynology, geochronology, loess, paleosol, mineraology, geochemistry, paleoclimate, glaciogenic, paleowinds, Arctic