cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18738/t8/uoes4s/inkrbx
title: Vid2RealPhase2_P3_vlp16_000110.bin
DOI: 10.18738/t8/uoes4s/ag56b0
title: Vid2RealPhase2_P3_vlp16_000903.bin
DOI: 10.18738/t8/uoes4s/bni6h6
title: Vid2RealPhase2_P3_vlp16_000571.bin
DOI: 10.18738/t8/uoes4s/axzaxz
title: Vid2RealPhase2_P3_vlp16_000207.bin
DOI: 10.18738/t8/uoes4s/kgasoj
title: Vid2RealPhase2_P3_vlp16_000666.bin
DOI: 10.18738/t8/uoes4s/btwwkj
title: Vid2RealPhase2_P3_vlp16_000099.bin
DOI: 10.18738/t8/uoes4s/bc2g9i
title: Vid2RealPhase2_P3_vlp16_000048.bin
DOI: 10.18738/t8/uoes4s/dqzm6z
title: Vid2RealPhase2_P3_vlp16_000429.bin
DOI: 10.18738/t8/uoes4s/cvned8
title: Vid2RealPhase2_P3_vlp16_000323.bin
DOI: 10.18738/t8/uoes4s/fnj88n
title: Vid2RealPhase2_P3_vlp16_000484.bin
DOI: 10.18738/t8/uoes4s/htpmsp
title: Vid2RealPhase2_P3_vlp16_000742.bin
DOI: 10.18738/t8/uoes4s/wspvmb
title: Vid2RealPhase2_P3_vlp16_000793.bin
DOI: 10.18738/t8/uoes4s/xcgqes
title: Vid2RealPhase2_P3_vlp16_000034.bin
DOI: 10.18738/t8/uoes4s/acvwcq
title: Vid2RealPhase2_P3_vlp16_000455.bin
DOI: 10.18738/t8/uoes4s/gyrvpj
title: Vid2RealPhase2_P3_vlp16_000827.bin
DOI: 10.18738/t8/uoes4s/qfysf3
title: Vid2RealPhase2_P3_vlp16_000483.bin
DOI: 10.18738/t8/uoes4s/lnzae8
title: Vid2RealPhase2_P3_vlp16_000324.bin
DOI: 10.15468/dl.r57czf
title: Occurrence Download

description: A dataset containing 7407 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Andrena flavipes Panzer, 1799",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 30, 46 30, 46 68, -26 68, -26 30))"
 ]
}

 The dataset includes 7407 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005825-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h75shp
title: Occurrence Download

description: A dataset listing the 110 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-4.85027 41.66331,-4.80537 41.66245,-4.80548 41.70131,-4.84952 41.70142,-4.85027 41.66331))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset's 110 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052775-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17083842
title: Phold Manuscript Supplementary Files Too Large For Github

description: Contains all supplementary files (mostly Foldseek search and clustering outputs) that go with the `phold-analysis` repository (https://github.com/gbouras13/phold-analysis) that are too large for GitHub.



`afdb50_phold_bfvd_nomburg.tar.gz` - Foldseek clustering results from Phold, BFVD, Nomburg and AFDB databases

`efam_res_3_iterations.m8.gz` - Foldseek search results of efam structures vs PHROG structures (used to assign PHROG groups to efam proteins)

`envhog_mmseqs_consensus.fasta.gz` - enVhog consensus protein sequences (FASTA)

`envhog_res_3_iterations.m8.gz` - Foldseek search results of enVhog structures vs PHROG structures (used to assign PHROG groups to efam proteins)

`all_phold_structures_plddt_70.fasta.gz` - all amino acid protein sequences used to train the LoRA models

`all_phold_structures_plddt_70_ss.fasta.gz` - all 3Di protein sequences used to train the LoRA models

`BFVD.m8.gz` - raw Foldseek search output of all Phold DB 3.16M vs BFVD proteins. NOTE - `AFDB.m8.gz` raw Foldseek search of all Phold DB 3.16M vs AFDB proteins is 124GB compressed and too large for zenodo. Please contact me george.bouras@adelaide.edu.au for more information

`phrog_phrog_3_res_iterations.m8.gz` - raw Foldseek search output of all "unknown function" PHROG proteins (v4 release) against all PHROG proteins with non-unknown function 

`singleton_phrog_res_3_iterations.m8.gz` - raw Foldseek search output fo all PHROG singletons vs other PHROG protein structures (i.e. all in PHROGs 1-38880)
DOI: 10.5281/zenodo.17083843
title: Phold Manuscript Supplementary Files Too Large For Github

description: Contains all supplementary files (mostly Foldseek search and clustering outputs) that go with the `phold-analysis` repository (https://github.com/gbouras13/phold-analysis) that are too large for GitHub.



`afdb50_phold_bfvd_nomburg.tar.gz` - Foldseek clustering results from Phold, BFVD, Nomburg and AFDB databases

`efam_res_3_iterations.m8.gz` - Foldseek search results of efam structures vs PHROG structures (used to assign PHROG groups to efam proteins)

`envhog_mmseqs_consensus.fasta.gz` - enVhog consensus protein sequences (FASTA)

`envhog_res_3_iterations.m8.gz` - Foldseek search results of enVhog structures vs PHROG structures (used to assign PHROG groups to efam proteins)

`all_phold_structures_plddt_70.fasta.gz` - all amino acid protein sequences used to train the LoRA models

`all_phold_structures_plddt_70_ss.fasta.gz` - all 3Di protein sequences used to train the LoRA models

`BFVD.m8.gz` - raw Foldseek search output of all Phold DB 3.16M vs BFVD proteins. NOTE - `AFDB.m8.gz` raw Foldseek search of all Phold DB 3.16M vs AFDB proteins is 124GB compressed and too large for zenodo. Please contact me george.bouras@adelaide.edu.au for more information

`phrog_phrog_3_res_iterations.m8.gz` - raw Foldseek search output of all "unknown function" PHROG proteins (v4 release) against all PHROG proteins with non-unknown function 

`singleton_phrog_res_3_iterations.m8.gz` - raw Foldseek search output fo all PHROG singletons vs other PHROG protein structures (i.e. all in PHROGs 1-38880)
DOI: 10.15468/dl.n9hhv6
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycium barbarum",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 192 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052801-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20366/unimib/unidata/sn209-1.0
title: Substance use disorder and risk of violence – VIORMED study (2014-2016)

description: Substance use disorder and risk of violence is a dataset related to the VIORMED (VIOlence Risk and MEntal Disorders) study carried out in 2014-2016. The aim of the study is to compare patients with severe mental disorders and with different substance use behaviours in terms of socio-demographic and clinical characteristics and assess violent behaviour during one-year follow-up.

The collected data deal with a prospective cohort study conducted at residential facilities and at four Departments of Mental Health in Italy. The study included 378 participants with Severe Mental Disorders (SMD) and were categorized as Persons with Current Substance Users (PCSU), Persons with Former Substance Users (PFSU) and Persons with Non-Substance Users (PNSU). Patients were assessed with several standardised instruments used in the feld of psychiatric research.

Data point out that PFSU showed significantly higher scores for lifetime history of aggressive behaviour compared with patients with PNSU. The results of the close one-year monitoring show a significantly higher risk of violence for patients with SMD who are PCSU, compared to PFSU and PNSU.
DOI: 10.15468/dl.uc2dyn
title: Occurrence Download

description: A dataset containing 4416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycium barbarum",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4416 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052803-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32w6yg
title: Occurrence Download

description: A dataset containing 931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycium barbarum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 931 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052804-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20366/unimib/unidata/sn259-1.0
title: Digital Well-Being - Schools (2017-2018)
title: Benessere Digitale - Scuole (2017-2018)

description: Data were collected as part of the ‘Digital Wellbeing - Schools’ study, which was carried out between 2017 and 2018 and promoted by the Digital Wellbeing research centre, which deals with the relationship between digital media and quality of life.<br>
<br>
In particular, the study included a training intervention on new media education aimed at teachers and 10th grade students (in the second year of secondary school). The impact of this intervention was verified through a randomised experiment carried out in 18 schools in the territorial areas 23, 27 and 28 of the provinces of Milan and Monza-Brianza (Lombardy region, Northern Italy), involving a total of 3,361 students.<br>
<br>
The dataset contains the data collected during the study. Specifically, the information collected concerns:<br>

- the socio-demographic characteristics of the students involved<br>
- uses, perceptions and attitudes towards the new media and their own well-being<br>
- measurements related to a test on digital skills to which they were subjected.<br>
description: Analysis Unit: individual, organization<br>Universe: students enrolled in the 2017-2018 school year in high schools present in territorial ambits 23 (Province of Milan), 27 and 28 (Province of Monza-Brianza)<br>Sample Procedure: 18 schools, 171 classrooms, 3,361 students. Convenience sample on voluntary membership<br>Weight: No weight used<br>Collection Mode: web-based self-administered questionnaire (CAWI)
DOI: 10.15468/dl.35c48w
title: Occurrence Download

description: A dataset containing 4301 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Seabird observations at Nieuwpoort (July 1978 - May 1983)"
 ]
}

 The dataset includes 4301 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052805-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hnd6t
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052807-250827131500795/datasets/export for details.
DOI: 10.15468/dl.8v875h
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ecological study of intertidal clay-and peatbanks at Raversijde (Belgium) in 1970"
 ]
}

 The dataset includes 365 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052806-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17096036
title: Synthetic candidates and political parties

description: This dataset compiles the first systematic collection of synthetic political actors — political parties and candidates using artificial intelligence agents or chatbots as their representatives, leaders, or candidates. The dataset contains 12 cases of AI-driven parties and candidates from various countries (Denmark, Finland, Japan, Sweden, the United Kingdom, etc.), including information about their AI agents, year of establishment, participation in elections, political agenda, organisational form, and online presence. The aim of this dataset is to provide a foundation for the study of synthetic politics, algorithmic representation, and digital democratic innovation.
DOI: 10.5281/zenodo.17096037
title: Synthetic candidates and political parties

description: This dataset compiles the first systematic collection of synthetic political actors — political parties and candidates using artificial intelligence agents or chatbots as their representatives, leaders, or candidates. The dataset contains 12 cases of AI-driven parties and candidates from various countries (Denmark, Finland, Japan, Sweden, the United Kingdom, etc.), including information about their AI agents, year of establishment, participation in elections, political agenda, organisational form, and online presence. The aim of this dataset is to provide a foundation for the study of synthetic politics, algorithmic representation, and digital democratic innovation.
DOI: 10.5281/zenodo.17097825
title: Global Trends in Hydroclimatic Variables (1979–2023) from ERA5 at 0.25° Resolution

description: This dataset provides global gridded trend estimates (Z-values) for key hydroclimatic variables over the period 1979–2023, derived from the ERA5 reanalysis dataset. The analysis was performed to detect long-term changes in climate and water cycle drivers at a spatial resolution of 0.25° (~25 km).

Variables included (all in .mat format):





Z_air_temperature.mat – near-surface at 2m air temperature trends




Z_cloud_cover.mat – total cloud cover trends




Z_ETo.mat – reference evapotranspiration (FAO-56 Penman-Monteith) trends




Z_long_radiation.mat – net longwave radiation trends




Z_net_radiation.mat – net radiation trends




Z_PET.mat – potential evapotranspiration (Priestley–Taylor) trends




Z_precipitation.mat – total precipitation trends




Z_short_radiation.mat – net shortwave radiation trends




Z_soil_moisture.mat – volumetric soil moisture trends




Z_soil_temperature.mat – soil temperature trends




Z_solar_radiation.mat – incoming solar radiation trends




Z_VPD.mat – vapor pressure deficit trends




Z_wind_speed.mat – near-surface at 2m wind speed trends



Methodology:





Long-term trends were calculated using the Mann-Kendall test for trend detection.




Significance levels were evaluated at α = 0.05.




Trend magnitudes are expressed as Z-values (normalized test statistics).



Spatial and Temporal Coverage:





Time span: 1979–2023 (45 years)




Spatial resolution: 0.25° × 0.25° global grid




Dataset source: ERA5 reanalysis (ECMWF)



Applications:This dataset can be used for:





Hydroclimatic and environmental change assessments




Attribution studies on drivers of evaporative demand and water cycle intensification




Regional and global climate modeling validation




Agricultural and hydrological impact studies



File format:All files are provided as MATLAB .mat files containing 2D gridded arrays corresponding to the global extent.
DOI: 10.5281/zenodo.16892966
title: Comprehensive DIA-based profiling of serum, follicular fluid, and ovarian tissue reveals key biomarkers associated with inactive ovary in dairy cows
DOI: 10.5281/zenodo.15598640
title: Comprehensive DIA-based profiling of serum, follicular fluid, and ovarian tissue reveals key biomarkers associated with inactive ovary in dairy cows
DOI: 10.5281/zenodo.17097814
title: Advancing Aerospace Coatings: Best Practices, Cutting-Edge Innovations, and Industry Trends for Optimal Performance
DOI: 10.5281/zenodo.17097813
title: Advancing Aerospace Coatings: Best Practices, Cutting-Edge Innovations, and Industry Trends for Optimal Performance
DOI: 10.6084/m9.figshare.30102472
title: Supplementary Material for: Weight change and ischemic stroke risk among participants in the Atherosclerosis Risk in Communities (ARIC) Study

description: Introduction
Conflicting findings exist between weight change and ischemic stroke risk. Studying the association between body weight change and ischemic stroke risk helps clarify the true nature of the association and supports future health promotion and stroke prevention strategies.
Methods
We longitudinally assessed data from 10,985 ARIC visit 4 participants (1996-1998). After excluding individuals with missing data on previous stroke or coronary heart disease at baseline (visit 4), we classified 9-year weight change (visit 4 minus visit 1 weight) into quintiles of weight change and weight loss (&gt; -2.7 kg), no change (-2.7 to +2.7 kg), and weight gain (&gt; +2.7 kg) categories. We used crude and adjusted Cox regression models to assess ischemic stroke hazard. We also performed an analysis stratified by BMI status to see if the weight change–stroke risk relationship differed by baseline BMI. 
 
Results
Among 9,574 participants, 676 developed ischemic stroke during the 20-year follow-up. Most participants at baseline were female (58.25%) and drinkers (50.52%), with mean age of 62 and mean BMI of 28.78 kg/m2. Compared to participants with no change, those who gained weight had 23% lower hazards of ischemic stroke (hazard ratio (HR) = 0.77 (95% confidence interval (CI) = 0.60, 0.99)), while those who lost weight had 30% higher hazards (HR=1.30 (95% CI =1.05,1.62)). 
 

Conclusion
Weight change showed minimal association with stroke risk overall, with moderate weight gain potentially lowering the risk, while weight loss increased it. These results emphasize the intricate relationship between weight dynamics and cerebrovascular health and the potential complex implications of the degree and direction of weight change for stroke prevention.
DOI: 10.6084/m9.figshare.30102472.v1
title: Supplementary Material for: Weight change and ischemic stroke risk among participants in the Atherosclerosis Risk in Communities (ARIC) Study

description: Introduction
Conflicting findings exist between weight change and ischemic stroke risk. Studying the association between body weight change and ischemic stroke risk helps clarify the true nature of the association and supports future health promotion and stroke prevention strategies.
Methods
We longitudinally assessed data from 10,985 ARIC visit 4 participants (1996-1998). After excluding individuals with missing data on previous stroke or coronary heart disease at baseline (visit 4), we classified 9-year weight change (visit 4 minus visit 1 weight) into quintiles of weight change and weight loss (&gt; -2.7 kg), no change (-2.7 to +2.7 kg), and weight gain (&gt; +2.7 kg) categories. We used crude and adjusted Cox regression models to assess ischemic stroke hazard. We also performed an analysis stratified by BMI status to see if the weight change–stroke risk relationship differed by baseline BMI. 
 
Results
Among 9,574 participants, 676 developed ischemic stroke during the 20-year follow-up. Most participants at baseline were female (58.25%) and drinkers (50.52%), with mean age of 62 and mean BMI of 28.78 kg/m2. Compared to participants with no change, those who gained weight had 23% lower hazards of ischemic stroke (hazard ratio (HR) = 0.77 (95% confidence interval (CI) = 0.60, 0.99)), while those who lost weight had 30% higher hazards (HR=1.30 (95% CI =1.05,1.62)). 
 

Conclusion
Weight change showed minimal association with stroke risk overall, with moderate weight gain potentially lowering the risk, while weight loss increased it. These results emphasize the intricate relationship between weight dynamics and cerebrovascular health and the potential complex implications of the degree and direction of weight change for stroke prevention.
DOI: 10.15468/dl.99fz8z
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendrocopos major",
 "BasisOfRecord is Specimen",
 "Country is one of (Japan, Korea, Republic of, Korea (Democratic People’s Republic of))"
 ]
}

 The dataset includes 274 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052808-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3h3rv
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendrocopos major",
 "BasisOfRecord is Specimen",
 "Country is one of (China)",
 "DecimalLongitude is greater than 126",
 "DecimalLatitude is less than 49.5"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052809-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mn8rv6
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendrocopos major",
 "BasisOfRecord is Specimen",
 "Country is one of (Russian Federation)",
 "DecimalLongitude is greater than 136",
 "DecimalLatitude is less than 54"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052810-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyvveg
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycium ferocissimum",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 90 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052812-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6q9e2
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052813-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pj96d4
title: Occurrence Download

description: A dataset containing 16122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Desmodus"
 ]
}

 The dataset includes 16122 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052814-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9rt27
title: Occurrence Download

description: A dataset containing 1175457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lamiaceae"
 ]
}

 The dataset includes 1175457 records from 1286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052788-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.