cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.22z9wh
title: Occurrence Download

description: A dataset containing 103842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia villosa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 103842 records from 1061 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045385-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17191583
title: Temporal changes in riparian forest vegetation: unexpected responses to streamflow alteration under climate change effects

description: This repository contains the script and associated data used for the analysis presented in the related article. The study investigates the responses of riparian forest plant communities to the hydrological impacts of river regulation by a dam. Historical and recent plot data were analyzed to assess how species composition and the abundance of moisture-demanding, ruderal, and alien species respond to dam-induced flow alterations in the context of climate change. The provided script performs data processing, statistical analysis, and visualization of the results.
DOI: 10.5281/zenodo.17651196
title: Temporal changes in riparian forest vegetation: unexpected responses to streamflow alteration under climate change effects

description: This repository contains the script and associated data used for the analysis presented in the related article. The study investigates the responses of riparian forest plant communities to the hydrological impacts of river regulation by a dam. Historical and recent plot data were analyzed to assess how species composition and the abundance of moisture-demanding, ruderal, and alien species respond to dam-induced flow alterations in the context of climate change. The provided script performs data processing, statistical analysis, and visualization of the results.
DOI: 10.6084/m9.figshare.30656156
title: Measurement and raw data of "The magnetic removal of PFAS from water"

description: Magnetic PFAS removal from water using superparamagnetic nanoparticles.
DOI: 10.6084/m9.figshare.30656156.v1
title: Measurement and raw data of "The magnetic removal of PFAS from water"

description: Magnetic PFAS removal from water using superparamagnetic nanoparticles.
DOI: 10.15468/dl.v99hew
title: Occurrence Download

description: A dataset listing the 57 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "MediaType is Image",
 "TaxonKey is Andrenidae",
 "Year 2000-2025"
 ]
}

 The dataset's 57 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045396-251025141854904/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.30640199
title: Genetic diversity and population structure in cities is not consistent among cosmopolitan plant species: polyRAD estimated genotypes

description: This resource contains larger files associated with the study here: https://github.com/avahoffman/urban-weed-genomics. Some of the files here will be necessary if you want to work through all the analyses on GitHub.<b>Genetic Data:</b><code>polyRAD_output</code>. Contains estimated polyRAD genotypes for all species. Each species' (denoted by two letter abbreviation) genotypes are provided in .rds (polyRAD), .rds (genind), and structure format.<code>polyRAD_output_for_sNMF</code>. Contains estimated polyRAD genotypes for all species, in a format appropriate to go into sNMF.<code>polyRAD_output_MMRR</code>. Contains estimated polyRAD genotypes for all species, in preparation for the MMRR modeling step. Notably, this format treats sites, not cities, as the "population" in order to retain fine-scale GPS coordinate and climate data for the model.<b>Spatial Data:</b><code>spatial_data</code>. Contains spatial data needed for deriving percent impervious surface and plotting maps.<b>Species:</b><i>Cynodon dactylon</i>, "CD", or Bermuda grass<i>Digitaria sanguinalis</i>, "DS", or crabgrass<i>Erigeron canadensis</i>, "EC", or horseweed<i>Lactuca serriola</i>, "LS", or prickly lettuce<i>Poa annua</i>, "PA", or bluegrass<i>Taraxacum officinale</i>, "TO", or dandelionRaw data can be found here: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1359434
DOI: 10.6084/m9.figshare.30640199.v1
title: Genetic diversity and population structure in cities is not consistent among cosmopolitan plant species: polyRAD estimated genotypes

description: This resource contains larger files associated with the study here: https://github.com/avahoffman/urban-weed-genomics. Some of the files here will be necessary if you want to work through all the analyses on GitHub.<b>Genetic Data:</b><code>polyRAD_output</code>. Contains estimated polyRAD genotypes for all species. Each species' (denoted by two letter abbreviation) genotypes are provided in .rds (polyRAD), .rds (genind), and structure format.<code>polyRAD_output_for_sNMF</code>. Contains estimated polyRAD genotypes for all species, in a format appropriate to go into sNMF.<code>polyRAD_output_MMRR</code>. Contains estimated polyRAD genotypes for all species, in preparation for the MMRR modeling step. Notably, this format treats sites, not cities, as the "population" in order to retain fine-scale GPS coordinate and climate data for the model.<b>Spatial Data:</b><code>spatial_data</code>. Contains spatial data needed for deriving percent impervious surface and plotting maps.<b>Species:</b><i>Cynodon dactylon</i>, "CD", or Bermuda grass<i>Digitaria sanguinalis</i>, "DS", or crabgrass<i>Erigeron canadensis</i>, "EC", or horseweed<i>Lactuca serriola</i>, "LS", or prickly lettuce<i>Poa annua</i>, "PA", or bluegrass<i>Taraxacum officinale</i>, "TO", or dandelionRaw data can be found here: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1359434
DOI: 10.15468/dl.g8eydt
title: Occurrence Download

description: A dataset containing 1599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Human Observation, Observation, Machine Observation, Material sample)",
 "Country is France",
 "GadmGid is one of (FRA.11.8_1, FRA.13.6_1, FRA.13.3_1, FRA.11.4_1)",
 "TaxonKey is Tyto alba",
 "Year 2014-2025"
 ]
}

 The dataset includes 1599 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045427-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71683/1df9988d-829b-4070-bf02-56fa2b98ca45
title: Previsões diárias da circulação oceânica obtidas através do modelo numérico HYCOM
DOI: 10.15468/dl.ps3t98
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Podocnemis unifilis"
 ]
}

 The dataset includes 268 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045428-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/5a1eaef4-9211-4227-a017-d20b08be5784
title: High-resolution (2 metre) digital elevation models of landscape affected by the Chamoli ice-debris flow, India, February 2021

description: These data are digital elevation models which describe landscape topography. The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. The data were used as standalone datasets to support this analysis, but also supported numerical modelling using CAESAR-Lisflood (see data collection). The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode. They are a geospatial dataset created in raster (.tif) format. They are most commonly imported into GIS software, where they can be analysed or support other forms of geospatial analysis.
description: The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode on the dates provided in section 1.4 of the supporting documentation. To generate new DEMs at 2 m grid resolution we used a block matching algorithm implemented in the open-source NASA Ames Stereo Pipeline (version v2.6.2_post). We registered the new DEMs to an existing composite DEM dated to September 2015 using the demcoreg toolbox. We also clipped and re-aligned an existing post-event DEM dated 10 February 2021 to the same September 2015 DEM.
DOI: 10.5281/zenodo.17647816
title: SIMTERFERE Tutorial Data
DOI: 10.5281/zenodo.17647815
title: SIMTERFERE Tutorial Data
DOI: 10.5281/zenodo.17651090
title: Decisions and In-Closeness in the Traditional Sporting Game "Bear, Guardian and Hunter"

description: This dataset includes detailed behavioural and sociometric information collected during the traditional sporting game Bear, Guardian and Hunter. Each row represents one second of a recorded sequence and contains the following variables:





ID: Unique identifier of each participant.




Sequence: Sequential code indicating the moment of data collection.




Role (H, G, B, RT):





H = Hunter




G = Guardian




B = Bear




RT = Role Transition






Movement type: Coded as backward, forward, lateral, no move or other specific displacements.




Distance to the Bear:





Short = less than 1 meter




Medium = around 1.5 meters




Long = more than 1 meter






Type of hitting action:





Armed = the player prepares the strike by raising the arm




Prep = the player stretches the cloth/towel before striking




Hit intensity = soft or energetic




No hit = no striking action





Sociometric values are also included:Columns G, H, I and J refer to in-closeness centrality values derived from sociometric positive and negative nominations (Elections/Rejections).  Columns G and H correspond to the in-closeness values of the observed player, while columns I and J represent the in-closeness values of the Bear, that is, the participant occupying the Bear role during each sequence.

All personal information has been fully anonymised. This dataset supports secondary analyses on motor conduct, interpersonal dynamics, social network analysis and relational inclusivity within traditional sporting games.
DOI: 10.5281/zenodo.17651091
title: Decisions and In-Closeness in the Traditional Sporting Game "Bear, Guardian and Hunter"

description: This dataset includes detailed behavioural and sociometric information collected during the traditional sporting game Bear, Guardian and Hunter. Each row represents one second of a recorded sequence and contains the following variables:





ID: Unique identifier of each participant.




Sequence: Sequential code indicating the moment of data collection.




Role (H, G, B, RT):





H = Hunter




G = Guardian




B = Bear




RT = Role Transition






Movement type: Coded as backward, forward, lateral, no move or other specific displacements.




Distance to the Bear:





Short = less than 1 meter




Medium = around 1.5 meters




Long = more than 1 meter






Type of hitting action:





Armed = the player prepares the strike by raising the arm




Prep = the player stretches the cloth/towel before striking




Hit intensity = soft or energetic




No hit = no striking action





Sociometric values are also included:Columns G, H, I and J refer to in-closeness centrality values derived from sociometric positive and negative nominations (Elections/Rejections).  Columns G and H correspond to the in-closeness values of the observed player, while columns I and J represent the in-closeness values of the Bear, that is, the participant occupying the Bear role during each sequence.

All personal information has been fully anonymised. This dataset supports secondary analyses on motor conduct, interpersonal dynamics, social network analysis and relational inclusivity within traditional sporting games.
DOI: 10.5285/05169766-7355-4c3c-8ade-091db0583f9d
title: Scanned 3D images and 3D printable images based on combinations of features of Diptera and Hymenoptera collected from the UK in 2021-22

description: This dataset includes 3D colour images from scanned insect (Diptera and Hymenoptera) specimens, as well as some modified intermediate images which combine traits from two different specimens. The intermediate versions are in a format suitable for 3D printing.
description: Insect specimens were collected between June 2020 and August 2021 from various locations in England using a hand net. Specimens were euthanized and 3D digital images of the insect specimens were obtained via photogrammetry. A 3D shape file (“mesh”) was built from a set of 36 photographs using the software 3DSOM. This produced the "raw reconstructions" which are provided in the form of .obj files with associated .jpg textures.
Using the images obtained from photogrammetry as starting points, we constructed digital “transects” of similarity between pairs of real insects through 3D morphological space. We defined axes of phenotypic variation along which the traits of shape, colour, pattern, and size varied smoothly from one image to the other, and generated novel phenotypes by picking either intermediate or extrapolated points along those axes. The resulting 3D meshes are the "modified intermediate images" which are provided as .ply files.
DOI: 10.5281/zenodo.17611139
title: Genetic Diversity and Population Structure of Pinus heldreichii in Greece

description: This dataset contains genetic and geographic information for 154 individuals of Pinus heldreichii sampled across 10 natural populations in Greece. It includes:





ht.fasta.zip: Haplotype sequences per individual (FASTA format)




geno.xlsx: Genotype data across all individuals 




samples.xlsx: Sample metadata, including population assignment and geographic coordinates



The raw sequencing data produced for this study have been deposited in the European Nucleotide Archive (ENA) under the project accession PRJEB101274.This work was supported by the research project “IMPROVING THE CONSERVATION STATUS OF PINUS HELDREICHII AT NATIONAL LEVEL WITH THE USE OF TRADITIONAL (PROPAGATION) AND INNOVATIVE METHODS (GENOTYPING), Green Fund, Hellenic Ministry of Environment and Energy, Funding Program “Natural Environment & Innovative Actions”, Priority Axis 3 “Research and Implementation”.
DOI: 10.5281/zenodo.17611140
title: Genetic Diversity and Population Structure of Pinus heldreichii in Greece

description: This dataset contains genetic and geographic information for 154 individuals of Pinus heldreichii sampled across 10 natural populations in Greece. It includes:





ht.fasta.zip: Haplotype sequences per individual (FASTA format)




geno.xlsx: Genotype data across all individuals 




samples.xlsx: Sample metadata, including population assignment and geographic coordinates



The raw sequencing data produced for this study have been deposited in the European Nucleotide Archive (ENA) under the project accession PRJEB101274.This work was supported by the research project “IMPROVING THE CONSERVATION STATUS OF PINUS HELDREICHII AT NATIONAL LEVEL WITH THE USE OF TRADITIONAL (PROPAGATION) AND INNOVATIVE METHODS (GENOTYPING), Green Fund, Hellenic Ministry of Environment and Energy, Funding Program “Natural Environment & Innovative Actions”, Priority Axis 3 “Research and Implementation”.
DOI: 10.5285/4731c4da-91fc-4762-9c17-74c8749d4227
title: Conceptual hydrogeological cross-section across the Gaborone catchment from Kanye area to Gaborone city, Botswana

description: The dataset contains a scaled, semi-quantitative conceptual hydrogeological model of the Gaborone catchment along a general WSW-ENE direction including; (1) the geographic coordinates of the extremities of each segment of the polyline transect; (2) the raster, scaled image of the conceptual hydrogeological cross-section.
description: The conceptual hydrogeological cross-section was generated from publicly available, primary datasets, including geological maps, hydrogeological maps, and hydrological datasets, using the following workflow:
•	With Google Earth: (1) polyline transect selection; (2) extraction of the geographic coordinates of the extremities of each segment of the polyline transect; (3) topography extraction along the full polyline transect; 
•	With both Google Earth and Inkscape: (4) delineation of geological unit boundaries and regional faults at the surface; (5) extension of geological units and faults at depth; (6) location of surface water bodies; i.e. streams, reservoirs and dams; (7) projection of monitoring boreholes and delineation of water table;
•	With Inkscape: (8) water table interpolation across the cross-section; (9) interpretation and drawing of groundwater flow directions; (10) interpretation drawing of surface run-off, groundwater recharge, and groundwater-surface water interaction processes; and (11) raster image export at 600 dpi.
DOI: 10.5281/zenodo.17651284
title: A Secure Web-Based Electronic Voting System Using PHP and MySQL: Design, Cryptographic Modelling, and Security Evaluation

description: Electronic voting (e-voting) technologies are gaining global adoption as countries seek transparent, accessible, and efficient election systems. This publication presents the design, development, and evaluation of a secure e-voting system adapted for Ireland’s PR-STV electoral model. The system integrates cryptographic hashing, CSRF protection, SQL injection mitigation, secure sessions, vote encryption, and HMAC verification. Results show the system is secure, scalable, and adaptable for PR-STV.
DOI: 10.5281/zenodo.17651285
title: A Secure Web-Based Electronic Voting System Using PHP and MySQL: Design, Cryptographic Modelling, and Security Evaluation

description: Electronic voting (e-voting) technologies are gaining global adoption as countries seek transparent, accessible, and efficient election systems. This publication presents the design, development, and evaluation of a secure e-voting system adapted for Ireland’s PR-STV electoral model. The system integrates cryptographic hashing, CSRF protection, SQL injection mitigation, secure sessions, vote encryption, and HMAC verification. Results show the system is secure, scalable, and adaptable for PR-STV.
DOI: 10.6084/m9.figshare.30648848
title: IAMT Enzyme Phylogenetic Tree

description: Phylogenetic analysis of the IAMT sequences of land plants shows that most land plants have retained at least one ortholog of the IAMT enzyme.
DOI: 10.6084/m9.figshare.30648848.v2
title: IAMT Enzyme Phylogenetic Tree

description: Phylogenetic analysis of the IAMT sequences of land plants shows that most land plants have retained at least one ortholog of the IAMT enzyme.
DOI: 10.6084/m9.figshare.30648848.v1
title: IAMT Enzyme Phylogenetic Tree

description: Phylogenetic analysis of the IAMT sequences of land plants shows that most land plants have retained at least one ortholog of the IAMT enzyme.
DOI: 10.5281/zenodo.17650594
title: SARS-CoV-2 Sequenzdaten aus Deutschland

description: Im Datensatz "SARS-CoV-2-Sequenzdaten aus Deutschland" umfasst vollständige Virusgenomsequenzen sowie zugehörige Metadaten aus bundesweit erhobenen Proben. Die Proben werden in Zusammenarbeit vom IMSSC2-Labornetzwerk, dem Nationalen Referenzzentrum für Coronaviren an der Charité sowie dem RKI sequenziert und bioinformatisch analysiert. Der Datensatz ermöglicht eine fundierte molekular-epidemiologische Analyse der SARS-CoV-2-Ausbreitung in Deutschland und stellt eine zentrale Ressource für Forschung und öffentliche Gesundheitsüberwachung dar.
DOI: 10.48804/zpdbku
title: STUDIUM.HTR a Pipeline for Handwritten Text Recognition

description: STUDIUM.HTR is a Handwritten Text Recognition (HTR) pipeline that can automatically transcribe handwritten text. This archive contains two sub-archives:
1. STUDIUM.HTR-main.zip – contains the code, models, and training data for our HTR model (see more details inside the archive).
2. DiffLine-main.zip – contains the code and models for our Handwritten Text Generation (HTG) system (see more details inside the archive).

The development of STUDIUM.HTR is part of the STUDIUM.AI project. 
This RI is funded by FW0 I004022N. 
The LIRIAS project code: I004022N#56873242.
DOI: 10.5285/97c65c35-1db5-49d5-8ee0-ae5c7b699634
title: Scenarios of future land use change in Mozambique (2014 and 2015)

description: Data comprise scenarios of how land use can be in the future and how will it affect ecosystem services in rural Mozambique. The scenarios were constructed from information gathered at five workshops held in Maputo, Xai Xai, Quelimane and Lichinga in 2014 and 2015. The objective of the workshops was to examine aspects that influence well-being (e.g. ecosystem services) and their causes (e.g. change in land use) in the Miombo woodland area of rural Mozambique and identify actions that could contribute to poverty alleviation and biodiversity conservation. The final objective was to construct scenarios of how the land use can be in Mozambique in the future (2035). 

The data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project and were funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme, funded by NERC, the Economic & Social Research Council (ESRC) and the Department for International Development (DfID), the three are government organizations from UK. The project was led by the University of Edinburgh, with the collaboration of the Universidad Mondlane, the IIED, and other organizations. 
description: The data were collected during the development of 5 workshops. The workshops were divided in two parts, one devoted to Bayesian belief networks (BBN) and the second to scenario construction. 

The data was collected in different ways and formats: 1) one to three persons took notes during the workshops; 2) we recorded most of the discussions after obtaining the acceptance from the participants for doing so; 3) we took pictures of the materials generated, with the necessary quality to read and interpret the content.

Two persons were in charge of writing down the results from the workshops in the presented documents: one of them wrote a first version, which was then reviewed by a second person. Both persons had been present during the workshops. Both of them did a final review of the documents, and then were approved as official results from the project.
DOI: 10.5281/zenodo.17650864
title: Grenzi et al., 2025, Investigating the origin of spontaneous cytosolic calcium oscillations in stomatal guard cells: a dialogue between apoplastic and endoplasmic reticulum stores, New Phytologist

description: Experimental data reported in the manuscript "Investigating the origin of spontaneous cytosolic calcium oscillations in stomatal guard cells: a dialogue between apoplastic and endoplasmic reticulum stores" by Grenzi et al. (New Phytologist, 2025).
DOI: 10.5281/zenodo.17650863
title: Grenzi et al., 2025, Investigating the origin of spontaneous cytosolic calcium oscillations in stomatal guard cells: a dialogue between apoplastic and endoplasmic reticulum stores, New Phytologist

description: Experimental data reported in the manuscript "Investigating the origin of spontaneous cytosolic calcium oscillations in stomatal guard cells: a dialogue between apoplastic and endoplasmic reticulum stores" by Grenzi et al. (New Phytologist, 2025).