cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14030664
title: Reanalysis of PXD024291

description: This repository contains a dataset analyzed in "De novo assembled databases allow species-specific protein-based stable isotope probing of microbiomes without prior knowledge of the community composition".

Specifically, this repository contains the reanalysis of the protein-SIP data obtained from PXD024174 ("Mock microbial community with spike-ins of 13C-labeled Escherichia coli cells for benchmarking of protein-based stable isotope probing proteomics (Protein-SIP)") that was published in Kleiner M, Kouris A, Violette M, D'Angelo G, Liu Y, Korenek A, Tolić N, Sachsenberg T, McCalder J, Lipton MS, Strous M. Ultra-sensitive isotope probing to quantify activity and substrate assimilation in microbiomes. Microbiome. 2023 11(1):24.

mztab files originate from Casanovo

tsv files originate from PepNet

xlsx files originate from merging Unipept and MetaProSIP output
DOI: 10.5281/zenodo.15537148
title: Reanalysis of PXD024291

description: This repository contains a dataset analyzed in "De novo peptide databases enable protein-based stable isotope probing of microbial communities with up to species-level resolution".

Specifically, this repository contains the reanalysis of the protein-SIP data obtained from PXD024174 ("Mock microbial community with spike-ins of 13C-labeled Escherichia coli cells for benchmarking of protein-based stable isotope probing proteomics (Protein-SIP)") that was published in Kleiner M, Kouris A, Violette M, D'Angelo G, Liu Y, Korenek A, Tolić N, Sachsenberg T, McCalder J, Lipton MS, Strous M. Ultra-sensitive isotope probing to quantify activity and substrate assimilation in microbiomes. Microbiome. 2023 11(1):24.

mztab files originate from Casanovo

tsv files originate from PepNet

xlsx files originate from merging Unipept and MetaProSIP output
DOI: 10.5281/zenodo.10886781
title: Anthropogenic emissions of CH4, N2O, F-gases and BC from GAINS, for EU-countries plus CH, NO, UK developed under the EYE-CLIMA project

description: Serving as a prior for atmospheric inversions, emissions of a set of climate relevant trace constituents have been provided using IIASA’s GAINS model. Compounds covered are non-CO2 greenhouse gases (CH4, N2O and a selection of 6 fluorinated gases, specifically HFC-125, HFC-134a, HFC-143a, HFC-23, HFC-32 and SF6) and black carbon aerosol. Data is provided in NetCDF format annually for the time range 2000 – 2020, in monthly resolution (fluorinated gases start from 2005 and have annual resolution). Spatially, data covers the European Union plus the United Kingdom, Switzerland and Norway, resolved to an 0.1°x0.1° grid. Emissions are attributed to the respective source categories according to GNFR.

Further details are available in an accompanying report (EYE-CLIMA Deliverable 2.8). Within a few weeks after data publication, the report will be made available on the project's web page at https://eyeclima.eu/products/public-reports/. The report also includes uncertainty estimates by source category, based on emission inventory experience. Also the limitations and potentials of the approaches taken are discussed in the report.

This is version 0.9 of the dataset and is maintained as it has been shared within the consortium. Emissions of emitted compounds are provided as kt per grid cell and year (or month, when applicable). File names follow a preliminary notation developed for the H-Europe project EYE-CLIMA, i.e. method (MOD=model) _ species _ variable-type _ model-used _ institute _ sector _ region _ timestep _ version _ timestamp. Note tht sector "AWB" stands for Agricultural Waste Burning, which is provided separately from other sources for BC and CH4. Data shown here already fully reflect version 1.0, which is different by use of units, file structure and file name. Version 1.0 will be available as a later version of this very dataset.
DOI: 10.5281/zenodo.11032177
title: Anthropogenic emissions of CH4, N2O, F-gases and BC from GAINS, for EU-countries plus CH, NO, UK developed under the EYE-CLIMA project

description: Serving as a prior for atmospheric inversions, emissions of a set of climate relevant trace constituents have been provided using IIASA’s GAINS model. Compounds covered are non-CO2 greenhouse gases (CH4, N2O and a selection of 6 fluorinated gases, specifically HFC-125, HFC-134a, HFC-143a, HFC-23, HFC-32 and SF6) and black carbon aerosol. Data is provided in NetCDF format annually for the time range 1990 – 2020, in monthly resolution (fluorinated gases start from 2005 and have annual resolution). Spatially, data covers the European Union plus the United Kingdom, Switzerland and Norway, resolved to an 0.1°x0.1° grid. Emissions are attributed to the respective source categories according to GNFR.

Further details are available in an accompanying report (EYE-CLIMA Deliverable 2.8). Within a few weeks after data publication, the report will be made available on the project's web page at https://eyeclima.eu/products/public-reports/. The report also includes uncertainty estimates by source category, based on emission inventory experience. Also the limitations and potentials of the approaches taken are discussed in the report.

This is version 1.0 of the dataset. It is meant to be updated to extend the coverage into the year 2023 to allow up-to-date inversions within EYE-CLIMA. Emissions of emitted compounds are provided as kg/m²/s. File names follow the notation developed for the H-Europe project EYE-CLIMA, i.e. species _ variable-type _ sector _ region _ method (MOD=model) _ timestep _ fromTime _ toTime _ model _ institute _ version . filetype. Note that sector "AWB" stands for Agricultural Waste Burning, which is provided separately from other sources for BC and CH4. A previous version (v0.9) has been made available on Zenodo,it represents the same data but in different units (kt per grid cell and year (or month, respectively) and using a different file notation. As that dataset has been used within the consortium already, it also is being kept as a citable source.
DOI: 10.15468/dl.6jek6m
title: Occurrence Download

description: A dataset containing 25899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus tremula L."
 ]
}

 The dataset includes 25899 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005321-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87n7rm
title: Occurrence Download

description: A dataset containing 77541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arundo donax L."
 ]
}

 The dataset includes 77541 records from 791 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005319-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5522/04/28731989
title: Coded data from longitudinal study looking at experience of failing medical school finals in a UK school.

description: This is the coded data from a longitudinal modified ground theory study that examined the experience of failing the medical school final examination. The data codes the experience across 3 time points ie just after failing, just before resitting and when working as a doctor. The data was gather through interviews, coded and stored in a excel database. It has been anonymised. The colour of the text denotes the time the data was collected ie black after starting work and collected from FY doctors who were not followed up longitudinally. In the student cohort just after failing in is green, just before resitting finals is in red and after passing second time and in work in blue.
DOI: 10.5522/04/28731989.v1
title: Coded data from longitudinal study looking at experience of failing medical school finals in a UK school.

description: This is the coded data from a longitudinal modified ground theory study that examined the experience of failing the medical school final examination. The data codes the experience across 3 time points ie just after failing, just before resitting and when working as a doctor. The data was gather through interviews, coded and stored in a excel database. It has been anonymised. The colour of the text denotes the time the data was collected ie black after starting work and collected from FY doctors who were not followed up longitudinally. In the student cohort just after failing in is green, just before resitting finals is in red and after passing second time and in work in blue.
DOI: 10.15468/dl.mv638j
title: Occurrence Download

description: A dataset containing 6339145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Carnivora",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 6339145 records from 5842 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011057-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwp4ye
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coleus scutellarioides",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083285-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhrxsj
title: Occurrence Download

description: A dataset containing 2219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.2.54_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Arachnida"
 ]
}

 The dataset includes 2219 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019837-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88hq56
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphargus megista (Rivero, 1985)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019838-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/92cf4cm2pw.1
title: Battle of the Bots: Solving Clinical Cases in Osteoarticular Infections with Large Language Models

description: Supplementary Material and Methods:
Supplementary Material and Methods 4: Excel files containing the multiple-choice results for each LLM across the five topic areas; 
Supplementary Material and Methods 5: Excel files containing the raw outputs from all 15 models; 
Supplementary Material and Methods 6: Excel files containing the consensus-resolved Likert-scale ratings
DOI: 10.17632/wvycskd5v7.1
title: Dupilumab and Alopecia Areata

description: Some providers have used dupilumab off-label for the treatment of recalcitrant alopecia areata, particularly in patients with atopic dermatitis. However, many clinicians have noted mixed results, with some patients reporting improvement while other patients experiencing new-onset or worsening alopecia areata. The purpose of this systematic review was to investigate the clinical characteristics and outcomes in cases of dupilumab-treated and dupilumab-induced alopecia areata.
DOI: 10.15468/dl.2gwd7q
title: Occurrence Download

description: A dataset containing 6942 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Handroanthus chrysanthus (Jacq.) S.O.Grose"
 ]
}

 The dataset includes 6942 records from 296 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019839-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25386/genetics.28908506
title: Villalobos-Cantor, Arreola-Bustos, and Martin, 2025

description: SNP phenotype association data
DOI: 10.25386/genetics.28908506.v1
title: Villalobos-Cantor, Arreola-Bustos, and Martin, 2025

description: SNP phenotype association data
DOI: 10.17632/w9tcfhx9cn.1
title: PhysioActiveLearning

description: This dataset includes information from an experiment examining learning engagement and physiological responses in students exposed to different teaching methods. Data was collected from 50 engineering students, offering a diverse sample for comparison. It contains survey responses, neurophysiological measurements such as heart rate (HR), electrodermal activity (EDA), and skin temperature (ST), and includes researcher observation data.
DOI: 10.17632/w9tcfhx9cn.2
title: PhysioActiveLearning

description: This dataset includes information from an experiment examining learning engagement and physiological responses in students exposed to different teaching methods. Data was collected from 50 engineering students, offering a diverse sample for comparison. It contains survey responses, neurophysiological measurements such as heart rate (HR), electrodermal activity (EDA), and skin temperature (ST), and includes researcher observation data.
DOI: 10.17632/pd6jngwm92.1
title: Deep representation learning of electrocardiogram reveals novel insights in cardiac structure and functions and connections to cardiovascular diseases 1

description: Summary statistics of the deep representations of 12-lead ECG of &gt;40,000 UK Biobank participants.
Link to GWAS on the latent factors latent factor 31-32 : doi: 10.17632/n8bn8hdjsc.1
DOI: 10.17632/f956zrvd6z.1
title: Preoperative PET/CT SUVmax Correlates with Breslow Thickness and Predicts Survival in Melanoma: A Retrospective Cohort Study

description: Figure S1. Linear regression analysis highlighting the stronger correlation between SUVmax and tumor thickness specifically in acral lentiginous melanoma (ALM) cases (r=0.828, p&lt;0.001).
DOI: 10.17632/n8bn8hdjsc.1
title: Deep representation learning of electrocardiogram reveals novel insights in cardiac structure and functions and connections to cardiovascular diseases - heart rate adjusted

description: Summary statistics of the deep representations of 12-lead ECG of &gt;40,000 UK Biobank participants. This dataset includes latent factor 31-32.
DOI: 10.17632/rwy58b49t6.1
title: Eager for Emmentaler: Early porosity creation due to reactive gangue mineral dissolution for low-grade chalcopyrite leaching

description: Hydrometallurgical treatment via heap or in-situ leaching are cost-effective alternatives to conventional pyrometallurgical treatment for Cu-recovery from low-grade ores, but are hampered by slow kinetics and low recovery. This study examined the impact of pH pre-treatment (0 followed by 2, or vice-versa) and NaCl on ferric-activated (5 g/L Fe3+) sulfuric acid leaching of low-grade chalcopyrite ores from the Cadia porphyry copper deposit. The overall reactivity during 20 days of leaching was calcite &gt; clinochlore &gt; muscovite &gt; K-feldspar &gt; quartz, depending on lixiviant pH and the cm-scale abundance, texture, grain size, reactivity, and spatial location of gangue minerals in the ore fragments. Addition of NaCl at seawater concentrations had neglectable effect on the pH-driven early dissolution of gangue minerals. Early porosity was induced by calcite dissolution, but quickly led to gypsum precipitation and pore clogging. Dissolution of calcite veins penetrating deep into the samples allowed the growth of reaction rims along dissolving veins and pores. Calcite dissolution was followed by clinochlore dissolution, forming lamellar siliceous residues. These siliceous residues locked and shielded chalcopyrite grains from lixiviant early in the leaching process; ion sorption on these residues can also retain Cu or other ions used as additives or catalysts. This study highlights that many processes that limit the efficiency and rate of Cu recovery are controlled by the nature, composition, abundance, and texture of gangue minerals, in addition to ore-mineral colocation. Detailed multi-scale characterisation, from cm- down to µm, is required to optimize Cu-recovery in complex low-grade ores.
DOI: 10.17632/rwy58b49t6.2
title: Eager for Emmentaler: Early porosity creation due to reactive gangue mineral dissolution for low-grade chalcopyrite leaching

description: Hydrometallurgical treatment via heap or in-situ leaching are cost-effective alternatives to conventional pyrometallurgical treatment for Cu-recovery from low-grade ores, but are hampered by slow kinetics and low recovery. This study examined the impact of pH pre-treatment (0 followed by 2, or vice-versa) and NaCl on ferric-activated (5 g/L Fe3+) sulfuric acid leaching of low-grade chalcopyrite ores from the Cadia porphyry copper deposit. The overall reactivity during 20 days of leaching was calcite &gt; clinochlore &gt; muscovite &gt; K-feldspar &gt; quartz, depending on lixiviant pH and the cm-scale abundance, texture, grain size, reactivity, and spatial location of gangue minerals in the ore fragments. Addition of NaCl at seawater concentrations had neglectable effect on the pH-driven early dissolution of gangue minerals. Early porosity was induced by calcite dissolution, but quickly led to gypsum precipitation and pore clogging. Dissolution of calcite veins penetrating deep into the samples allowed the growth of reaction rims along dissolving veins and pores. Calcite dissolution was followed by clinochlore dissolution, forming lamellar siliceous residues. These siliceous residues locked and shielded chalcopyrite grains from lixiviant early in the leaching process; ion sorption on these residues can also retain Cu or other ions used as additives or catalysts. This study highlights that many processes that limit the efficiency and rate of Cu recovery are controlled by the nature, composition, abundance, and texture of gangue minerals, in addition to ore-mineral colocation. Detailed multi-scale characterisation, from cm- down to µm, is required to optimize Cu-recovery in complex low-grade ores.
DOI: 10.17632/4kdtskdtmc.1
title: [Dataset] Innovative green composites: Material characterization of starch-based nanoscaffolds reinforced with Sargassum ilicifolium-mediated copper oxide nanostructures

description: This dataset provides a comprehensive physicochemical characterization of novel starch-based nanoscaffolds incorporated with copper oxide (CuO) nanostructures synthesized via a green route using Sargassum ilicifolium, a marine brown alga known for its rich phytochemical content. The bio-reduction approach enables an environmentally benign synthesis of CuO nanoparticles, promoting sustainability in nanomaterial development. A series of advanced analytical tools were employed to evaluate the structural, morphological, thermal, and optical properties of the resulting nanocomposites. UV–visible spectroscopy confirmed the successful formation of CuO nanostructures through distinct absorption peaks. Fourier-transform infrared spectroscopy (FT-IR) identified key functional groups involved in the capping and stabilization of nanoparticles within the starch matrix. X-ray diffraction (XRD) patterns revealed the crystalline phases of the embedded CuO, verifying their structural integrity. Scanning electron microscopy (SEM) provided visual insights into surface morphology and nanoparticle distribution across the scaffold. Thermogravimetric analysis (TGA) assessed the thermal stability and decomposition profile of the composites. Dynamic light scattering (DLS) determined the hydrodynamic size and dispersity of the nanoparticles, indicating stable colloidal behavior. Overall, this dataset offers valuable insights into the green fabrication and material profiling of bio-nanocomposites with potential applications in biomedicine, packaging, and environmental remediation.
DOI: 10.17632/4kdtskdtmc.2
title: [Dataset] Innovative green composites: Material characterization of starch-based nanoscaffolds reinforced with Sargassum ilicifolium-mediated copper oxide nanostructures

description: This dataset provides a comprehensive physicochemical characterization of novel starch-based nanoscaffolds incorporated with copper oxide (CuO) nanostructures synthesized via a green route using Sargassum ilicifolium, a marine brown alga known for its rich phytochemical content. The bio-reduction approach enables an environmentally benign synthesis of CuO nanoparticles, promoting sustainability in nanomaterial development. A series of advanced analytical tools were employed to evaluate the structural, morphological, thermal, and optical properties of the resulting nanocomposites. UV–visible spectroscopy confirmed the successful formation of CuO nanostructures through distinct absorption peaks. Fourier-transform infrared spectroscopy (FT-IR) identified key functional groups involved in the capping and stabilization of nanoparticles within the starch matrix. X-ray diffraction (XRD) patterns revealed the crystalline phases of the embedded CuO, verifying their structural integrity. Scanning electron microscopy (SEM) provided visual insights into surface morphology and nanoparticle distribution across the scaffold. Thermogravimetric analysis (TGA) assessed the thermal stability and decomposition profile of the composites. Dynamic light scattering (DLS) determined the hydrodynamic size and dispersity of the nanoparticles, indicating stable colloidal behavior. Overall, this dataset offers valuable insights into the green fabrication and material profiling of bio-nanocomposites with potential applications in biomedicine, packaging, and environmental remediation.
DOI: 10.17632/gt3z5rx5dk.1
title: Mendeley Supplement 1: Reduced liver disease incidence in psoriasis patients treated with interleukin-23 inhibitors

description: Mendeley Supplement 1: Reduced liver disease incidence in psoriasis patients treated with interleukin-23 inhibitors
DOI: 10.15468/dl.z7kv6f
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cochranella megista (Rivero, 1985)"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019841-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9f747v659j.1
title: Government effectiveness, eco-efficiency and environmental sustainability in Africa: A panel cross-sectional dependency and Granger non-causality approach.

description: We employ a balanced panel dataset for 39 African countries spanning 1990 to 2021. The selected countries accounted for 69.6% of the African countries, which suffices for concluding the entire continent. The dependent variable is ecological footprint (EF), which measures the demand human consumption places on the biosphere. The variable EF was sourced from the Global Footprint Network and measured per capita in final consumption. The explanatory variables include ecological footprint intensity (EFI), economic complexity (ECI), energy consumption (EU), urbanisation (URB) and government effectiveness (GEF). The data series for each variable was retrieved from various databases such as the Global Footprint Network, Atlas of Economic Complexity, Our World in Data and World Governance Indicator.