cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.44jafw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACS2991"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011373-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ynvpg
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asparagus setaceus",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 107 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011377-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uyxc4
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helosciadium nodiflorum",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011376-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15878238
title: ASTRA Validation Exercise #03 Neurometric dataset

description: This dataset contains the results derived from the EEG recordings collected during the Real-time simulation (Validation Exercise #03) conducted in May 2025.

The computed data includes:



Average workload scores for the entire session recorded

Standard deviation of workload across the session

Z-scores sampled at five-minutes intervals throughout the session
DOI: 10.5281/zenodo.15878239
title: ASTRA Validation Exercise #03 Neurometric dataset

description: This dataset contains the results derived from the EEG recordings collected during the Real-time simulation (Validation Exercise #03) conducted in May 2025.

The computed data includes:



Average workload scores for the entire session recorded

Standard deviation of workload across the session

Z-scores sampled at five-minutes intervals throughout the session
DOI: 10.15468/dl.d6wetz
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys molitrix",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011378-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14865000
title: Deep Sound Synthesis Matched to Brain Activity Recapitulates Preferential Responses to Speech and Music
DOI: 10.5281/zenodo.14865001
title: Deep Sound Synthesis Matched to Brain Activity Recapitulates Preferential Responses to Speech and Music
DOI: 10.15468/dl.a8sxfb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Seiurus aurocapilla)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011379-250711103210423/datasets/export for details.
DOI: 10.5281/zenodo.15879492
title: Microsoft's Global Building Footprints data of Portugal

description: The growth of the Wildland-Urban Interface (WUI) underscores the need for accurate mapping to support effective wildfire risk management. One major obstacle is the lack of comprehensive national building footprint databases. Our study addresses that gap by developing a semi-automated, multi-criteria filtering framework aimed at enhancing the quality of global open-source building datasets, with a focus on Microsoft’s Global Building Footprints (MSB), applied to mainland Portugal. The proposed method incorporates regional adaptability and spatial analysis techniques—such as area-based thresholds and proximity criteria—using Portugal’s official Geographic Buildings Location Database (BGE) as a benchmark. To better represent residential structures, the framework systematically removes non-residential anomalies (e.g., industrial complexes, solar farms, transmission lines) through dynamically calibrated thresholds at multiple administrative levels, including municipalities and NUTS-2 regions. As a result, the filtering process reduced the original dataset from approximately 5.6 million to 3.0 million building footprints. The original and filtered datasets are available here.
DOI: 10.5281/zenodo.13175451
title: Data for Regionalized Formation and Recycling of New Venusian Crust at Chasmata

description: The supplemental data for the paper "Regionalized Formation and Recycling of New Venusian Crust at Chasmata" published in 2025 in the Planetary Science Journal by Montiel et al. This repository includes the source code for the GeoFLAC models used in the study, as well as the raw .vts files GeoFLAC outpput for each modeled case, animations of each result, the MATLAB code used for visualization and analysis, and the chasmata analyzed for the study.
DOI: 10.5281/zenodo.13175452
title: Data for Regionalized Formation and Recycling of New Venusian Crust at Chasmata

description: The supplemental data for the paper "Regionalized Formation and Recycling of New Venusian Crust at Chasmata" published in 2025 in the Planetary Science Journal by Montiel et al. This repository includes the source code for the GeoFLAC models used in the study, as well as the raw .vts files GeoFLAC outpput for each modeled case, animations of each result, the MATLAB code used for visualization and analysis, and the chasmata analyzed for the study.
DOI: 10.5281/zenodo.10977559
title: Locityper loci database, 1KGP genotypes and benchmarking data
DOI: 10.5281/zenodo.15879519
title: Locityper loci database, 1KGP genotypes and benchmarking data
DOI: 10.6084/m9.figshare.29558021
title: iCLIP of <i>At</i>GRP8-GFP and control bedgraphs

description: Files with raw iCLIP signals are provided in BEDGRAPH format for the <i>At</i>GRP8-GFP iCLIP in <i>Arabidopsis thaliana</i>. Forward and reverse strands are saved separately. Data from each replicate is provided in the corresponding files.<br>Raw sequencing data of the <i>At</i>GRP8-GFP iCLIP is available over the SRA accessions SRR32329121, SRR32329122, and SRR32329123:<br>https://identifiers.org/insdc.sra:SRR32329121<br>https://identifiers.org/insdc.sra:SRR32329122<br>https://identifiers.org/insdc.sra:SRR32329123<br>BEDGRAPH files for the controls are listed in the subfolder "controls" in the same manner.Raw data from the GFP and AtGRP7-RQ-GFP (RRM mutation) controls reside in the GEO Series GSE99427:<br>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE99427<br><br>
DOI: 10.5281/zenodo.15879508
title: Plasma Electrolytic Oxidation-Derived WO3 and WO3-LDH Hybrid Coatings as Immobilized Photocatalysts for Solar−Driven Water Treatment
DOI: 10.5281/zenodo.15879509
title: Plasma Electrolytic Oxidation-Derived WO3 and WO3-LDH Hybrid Coatings as Immobilized Photocatalysts for Solar−Driven Water Treatment
DOI: 10.6084/m9.figshare.29558021.v1
title: iCLIP of <i>At</i>GRP8-GFP and control bedgraphs

description: Files with raw iCLIP signals are provided in BEDGRAPH format for the <i>At</i>GRP8-GFP iCLIP in <i>Arabidopsis thaliana</i>. Forward and reverse strands are saved separately. Data from each replicate is provided in the corresponding files.<br>Raw sequencing data of the <i>At</i>GRP8-GFP iCLIP is available over the SRA accessions SRR32329121, SRR32329122, and SRR32329123:<br>https://identifiers.org/insdc.sra:SRR32329121<br>https://identifiers.org/insdc.sra:SRR32329122<br>https://identifiers.org/insdc.sra:SRR32329123<br>BEDGRAPH files for the controls are listed in the subfolder "controls" in the same manner.Raw data from the GFP and AtGRP7-RQ-GFP (RRM mutation) controls reside in the GEO Series GSE99427:<br>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE99427<br><br>
DOI: 10.6084/m9.figshare.29560433
title: CFP institutional trust

description: 600 survey data
DOI: 10.6084/m9.figshare.29560433.v1
title: CFP institutional trust

description: 600 survey data
DOI: 10.15468/dl.st7a8q
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011380-250711103210423/datasets/export for details.
DOI: 10.5281/zenodo.15879079
title: Prevalence and Factors associated with research misconduct among faculty in selected public universities in  Eastern Uganda: A cross-sectional study

description: We report the prevalence and associated factors of self-reported research misconduct (RM) among 70 faculty members across two public universities in Eastern Uganda. A descriptive cross-sectional survey was conducted using a structured, anonymized self-administered questionnaire adapted from the Scientific Misconduct Questionnaire–Revised (SMQ-R). Data were analyzed using STATA version 16.0. Descriptive statistics summarized participant characteristics; bivariate and multivariate logistic regression were used to identify predictors of RM. The overall prevalence of self-reported RM, defined as engagement in any one of fabrication, falsification, or plagiarism (FFP), was 31.4% (22/70). Plagiarism and falsification were each reported by 20.0% of participants, while fabrication was reported by 1.4%. Most respondents were male (72.9%), held master ’s-level qualifications (70.0%), and had received prior ethics training (81.4%). In multivariate analysis, prior ethics training (aOR = 0.27; 95% CI: 0.07–0.98; p = 0.046) and the perception that RM is unacceptable (aOR = 0.27; 95% CI: 0.07–0.98; p = 0.046) were independently associated with lower odds of self-reported RM. These findings indicate that RM is relatively common among faculty in Eastern Uganda, even among those with ethics training. Strengthening institutional ethics training and investing in anti-plagiarism systems may help reduce the occurrence of RM. A multifaceted approach is needed to foster research integrity within academic institutions.
DOI: 10.5281/zenodo.15879080
title: Prevalence and Factors associated with research misconduct among faculty in selected public universities in  Eastern Uganda: A cross-sectional study

description: We report the prevalence and associated factors of self-reported research misconduct (RM) among 70 faculty members across two public universities in Eastern Uganda. A descriptive cross-sectional survey was conducted using a structured, anonymized self-administered questionnaire adapted from the Scientific Misconduct Questionnaire–Revised (SMQ-R). Data were analyzed using STATA version 16.0. Descriptive statistics summarized participant characteristics; bivariate and multivariate logistic regression were used to identify predictors of RM. The overall prevalence of self-reported RM, defined as engagement in any one of fabrication, falsification, or plagiarism (FFP), was 31.4% (22/70). Plagiarism and falsification were each reported by 20.0% of participants, while fabrication was reported by 1.4%. Most respondents were male (72.9%), held master ’s-level qualifications (70.0%), and had received prior ethics training (81.4%). In multivariate analysis, prior ethics training (aOR = 0.27; 95% CI: 0.07–0.98; p = 0.046) and the perception that RM is unacceptable (aOR = 0.27; 95% CI: 0.07–0.98; p = 0.046) were independently associated with lower odds of self-reported RM. These findings indicate that RM is relatively common among faculty in Eastern Uganda, even among those with ethics training. Strengthening institutional ethics training and investing in anti-plagiarism systems may help reduce the occurrence of RM. A multifaceted approach is needed to foster research integrity within academic institutions.
DOI: 10.15468/dl.c2mvck
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otocinclus leucofrenatus"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011381-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqjnp2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bassia scoparia",
 "Country is Algeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011382-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k33byq
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bassia scoparia",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 50 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011383-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhp2ac
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((17.54464 45.93961,17.54478 45.93085,17.57319 45.93003,17.57319 45.9391,17.55508 45.93942,17.54464 45.93961))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 4 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011363-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ww8r3z
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pastinaca sativa",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011384-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3jnbd
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Graellsia integrifolia"
 ]
}

 The dataset includes 58 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011386-250711103210423/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.29528687
title: https://cancerhallmarks.com/

description: <b>CancerHallmarks.com</b> is an interactive web tool that analyzes gene lists based on the ten canonical hallmarks of cancer. It integrates 6,763 hallmark-associated genes (core set: 1,574) from multiple databases and offers enrichment analysis with clear bar and distribution plots.<b>Key features:</b>Upload any gene set and identify overrepresented cancer hallmarksChoose full or core gene sets for focused analysisExport results and link to survival, therapy, diagnostics, and methylation data via integrated KM-plotter, ROC-plotter, TNM-plotter, and EpigenPlot toolsIt helps place gene lists into a cancer-specific biological context, supporting functional insights and biomarker discovery.
DOI: 10.6084/m9.figshare.29528687.v1
title: https://cancerhallmarks.com/

description: <b>CancerHallmarks.com</b> is an interactive web tool that analyzes gene lists based on the ten canonical hallmarks of cancer. It integrates 6,763 hallmark-associated genes (core set: 1,574) from multiple databases and offers enrichment analysis with clear bar and distribution plots.<b>Key features:</b>Upload any gene set and identify overrepresented cancer hallmarksChoose full or core gene sets for focused analysisExport results and link to survival, therapy, diagnostics, and methylation data via integrated KM-plotter, ROC-plotter, TNM-plotter, and EpigenPlot toolsIt helps place gene lists into a cancer-specific biological context, supporting functional insights and biomarker discovery.
DOI: 10.5284/1133984
title: Digital Archive from a Magnetometry Survey at Westwood Heath, Warwickshire, September 2024

description: This collection comprises geophysics data and GIS files from a magnetometry survey carried out by MOLA Northampton at Westwood Heath, Warwickshire on 13th September 2024. The aim of the survey was to identify and map any archaeological remains which may be affected by future development works on the site. TThe survey identified a few possible ditches, unusually showing as negative anomalies. An area of medieval to post-medieval ridge and furrow was also detected, as well as two relatively modern field boundaries, an artificial cricket pitch, the remains of 1960s building and associated track and a buried utility.
DOI: 10.5281/zenodo.15131292
title: Data from "Positive impacts of agri-environment schemes on butterflies from multiple evidence sources"

description: Data used in the paper "Positive impacts of agri-environment schemes on butterflies from multiple evidence sources".

 

Five files are provided:

 

LandSpAES butterfly abundance.csv

SURVEY_SQUARE - Square number

SURVEY_YEAR - Year of survey

AES1KM/AES3KM - Local/landscape AES scores

BUTTERFLY_COUNT - Total count of butterflies across all visits

ROUND_NUMBER - Number of visits completed per year

PERC_SUN - Average percentage sunshine across each survey visit

SURVEY_TEMP_SHADE - Average temperature in the shade across each survey visit

*_PC1/PC2/PC3 - New variables derived from Principal Components Analysis as described in the paper

 

LandSpAES butterfly diversity.csv

As LandSpAES abundance except:

SHANNON_DIV - Shannon diversity of the butterfly community aggregated across all visits

 

LandSpAES butterfly richness.csv

As LandSpAES abundance except:

RICHNESS_ID - Total number of species observed across all visits

 

UKBMS butterfly data.csv

SITENO - Site number

YEAR - Year of survey

Abundance - Total count of butterflies across all visits between May and August

Richness - Total number of species observed across all visits between May and August

Shannon_diversity - Shannon diversity of the butterfly community aggregated across all visits between May and August

N_VISITS_MAYTOAUGUST - Number of visits between May and August

TRANSECT_LENGTH_NEW - Total length of transect

*_PC1/PC2/PC3 - New variables derived from Principal Components Analysis as described in the paper

AES1KM/AES3KM - Local/landscape AES scores

 

WCBS butterfly data.csv

SITENO - Site number

YEAR - Year of survey

Abundance - Total count of butterflies across all visits between May and August

Richness - Total number of species observed across all visits between May and August

Shannon_diversity - Shannon diversity of the butterfly community aggregated across all visits between May and August

N_VISITS_MAYTOAUGUST - Number of visits between May and August

TRANSECT_LENGTH - Total length of transect

*_PC1/PC2/PC3 - New variables derived from Principal Components Analysis as described in the paper

AES1KM/AES3KM - Local/landscape AES scores
description: Note: Due to the subsetting and processing of data used for these analyses we would recommend anyone wishing to re-use any data from this manuscript to contact the authors prior to any re-use. If you wish to use data from UKBMS or WCBS we would recommend requesting data here https://ukbms.org/request-data
DOI: 10.5281/zenodo.15131293
title: Data from "Positive impacts of agri-environment schemes on butterflies from multiple evidence sources"

description: Data used in the paper "Positive impacts of agri-environment schemes on butterflies from multiple evidence sources".

 

Five files are provided:

 

LandSpAES butterfly abundance.csv

SURVEY_SQUARE - Square number

SURVEY_YEAR - Year of survey

AES1KM/AES3KM - Local/landscape AES scores

BUTTERFLY_COUNT - Total count of butterflies across all visits

ROUND_NUMBER - Number of visits completed per year

PERC_SUN - Average percentage sunshine across each survey visit

SURVEY_TEMP_SHADE - Average temperature in the shade across each survey visit

*_PC1/PC2/PC3 - New variables derived from Principal Components Analysis as described in the paper

 

LandSpAES butterfly diversity.csv

As LandSpAES abundance except:

SHANNON_DIV - Shannon diversity of the butterfly community aggregated across all visits

 

LandSpAES butterfly richness.csv

As LandSpAES abundance except:

RICHNESS_ID - Total number of species observed across all visits

 

UKBMS butterfly data.csv

SITENO - Site number

YEAR - Year of survey

Abundance - Total count of butterflies across all visits between May and August

Richness - Total number of species observed across all visits between May and August

Shannon_diversity - Shannon diversity of the butterfly community aggregated across all visits between May and August

N_VISITS_MAYTOAUGUST - Number of visits between May and August

TRANSECT_LENGTH_NEW - Total length of transect

*_PC1/PC2/PC3 - New variables derived from Principal Components Analysis as described in the paper

AES1KM/AES3KM - Local/landscape AES scores

 

WCBS butterfly data.csv

SITENO - Site number

YEAR - Year of survey

Abundance - Total count of butterflies across all visits between May and August

Richness - Total number of species observed across all visits between May and August

Shannon_diversity - Shannon diversity of the butterfly community aggregated across all visits between May and August

N_VISITS_MAYTOAUGUST - Number of visits between May and August

TRANSECT_LENGTH - Total length of transect

*_PC1/PC2/PC3 - New variables derived from Principal Components Analysis as described in the paper

AES1KM/AES3KM - Local/landscape AES scores
description: Note: Due to the subsetting and processing of data used for these analyses we would recommend anyone wishing to re-use any data from this manuscript to contact the authors prior to any re-use. If you wish to use data from UKBMS or WCBS we would recommend requesting data here https://ukbms.org/request-data