cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5yxuhe
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((121.22836 40.55153,122.26774 40.55153,122.26774 41.439,121.22836 41.439,121.22836 40.55153))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia boyciana"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003954-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/p310-ej93
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/p5f8-3b12
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.15468/dl.9mtu43
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "TaxonKey is Tetrao urogallus",
 "Year 1950-2000"
 ]
}

 The dataset includes 112 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003955-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/6hr7-1y95
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/508e-k348
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/93n2-dd09
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.15468/dl.7gjr6w
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamophylax luctuosus"
 ]
}

 The dataset includes 697 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003958-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/p7a8-xa26
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.5281/zenodo.18744457
title: Exiobase HYBRID | Green steel version

description: Description

This repository contains all data and code to extend the hybrid-units version of EXIOBASE to account for new innovative steelmaking routes envisaged to be deployed in the EU to meet decarbonization targets for the steel industry. The new model was built by adopting the MARIO open-source framework.   

The database is an improved version of the one described in the following open-access paper (DOI: https://doi.org/10.1088/1748-9326/ad5bf1) and is used in other 2 articles, currently being peer reviewed.

Novelties with respect to EXIOBASE hybrid version 2011



The new technologies have been characterized for all regions, assuming each inventory to be the same in all regions but differentiated by regional import patterns of each commodity.

A slight aggregation on electricity production activities and commodities have been also performed, to nowcast electricity production mixes to 2024 based on Ember data. Data from Ember have been rearranged to calculate electricity mixes by year and Exiobase regions

The list of steel production technologies have been extended. Full list in the table below


The database implements in the EU the following new activities and commodities:




New activities
New commodities


Manufacturing of steam reformer
Steam reformer


Manufacturing of electrolyser
Electrolyser


Hydrogen production with steam reforming
Steam reforming hydrogen


Hydrogen production with electrolysis
Electrolysis hydrogen


DRI-EAF-NG
 


DRI-EAF-NG-CCS
 


DRI-EAF-COAL
 


DRI-EAF-COAL-CCS
 


DRI-EAF-H2
 


DRI-EAF-BECCS
 


DRI-SAF-BOF-NG
 


DRI-SAF-BOF-H2
 


DRI-SAF-BOF-BECCS
 


SR-BOF
 


SR-BOF-CCS
 


BF-BOF-CCS-73%
 


BF-BOF-CCS-86%
 


BF-BOF-BECCSmax
 


BF-BOF-BECCSmin
 


AEL-EAF
 


MOE
 




 

Extended documentation of database adjustment and extension methodology available among the files in this repository. 

 

Whats' new in v1.3.2

The "Database analysis | Domestic share of activities' carbon footprints" zip file was added. This folder contain the result of an analysis requested during peer-review, to justify the use of this database despite the representation of trades is outdated. The analysis show how top 95% of GHG emissions accounted in the database are produced by domestic supply chains. 

 

Instructions

To use the database, please install MARIO following the instructions. The database can be parsed by using the following command



db = mario.parse_from_txt(

     path='PATH/TO/THE/FOLDER/WHERE/DATA/FROM/THIS/REPOSITORY/ARE/STORED',

     mode='coefficients',

     table='SUT',

)
DOI: 10.5281/zenodo.10843374
title: Exiobase HYBRID | Green steel version

description: Description

This repository contains all data and code to extend the hybrid-units version of EXIOBASE to account for new innovative steelmaking routes envisaged to be deployed in the EU to meet decarbonization targets for the steel industry. The new model was built by adopting the MARIO open-source framework.   

The database is an improved version of the one described in the following open-access paper (DOI: https://doi.org/10.1088/1748-9326/ad5bf1) and is used in other 2 articles, currently being peer reviewed.

Novelties with respect to EXIOBASE hybrid version 2011



The new technologies have been characterized for all regions, assuming each inventory to be the same in all regions but differentiated by regional import patterns of each commodity.

A slight aggregation on electricity production activities and commodities have been also performed, to nowcast electricity production mixes to 2024 based on Ember data. Data from Ember have been rearranged to calculate electricity mixes by year and Exiobase regions

The list of steel production technologies have been extended. Full list in the table below


The database implements in the EU the following new activities and commodities:




New activities
New commodities


Manufacturing of steam reformer
Steam reformer


Manufacturing of electrolyser
Electrolyser


Hydrogen production with steam reforming
Steam reforming hydrogen


Hydrogen production with electrolysis
Electrolysis hydrogen


DRI-EAF-NG
 


DRI-EAF-NG-CCS
 


DRI-EAF-COAL
 


DRI-EAF-COAL-CCS
 


DRI-EAF-H2
 


DRI-EAF-BECCS
 


DRI-SAF-BOF-NG
 


DRI-SAF-BOF-H2
 


DRI-SAF-BOF-BECCS
 


SR-BOF
 


SR-BOF-CCS
 


BF-BOF-CCS-73%
 


BF-BOF-CCS-86%
 


BF-BOF-BECCSmax
 


BF-BOF-BECCSmin
 


AEL-EAF
 


MOE
 




 

Extended documentation of database adjustment and extension methodology available among the files in this repository. 

 

Whats' new in v1.3.2

The "Database analysis | Domestic share of activities' carbon footprints" zip file was added. This folder contain the result of an analysis requested during peer-review, to justify the use of this database despite the representation of trades is outdated. The analysis show how top 95% of GHG emissions accounted in the database are produced by domestic supply chains. 

 

Instructions

To use the database, please install MARIO following the instructions. The database can be parsed by using the following command



db = mario.parse_from_txt(

     path='PATH/TO/THE/FOLDER/WHERE/DATA/FROM/THIS/REPOSITORY/ARE/STORED',

     mode='coefficients',

     table='SUT',

)
DOI: 10.60707/rt4f-zc77
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.7910/dvn/y6q9go
title: Replication Data for: Afrobarometer analysis

description: Replication data for Chapter 3, Figure 3.2 and Table A.4. Data are provided in .csv format. Command file is a Python notebook. For more information on Afrobarometer data, see: Afrobarometer. 2024. Merged Round 8 Data (34 Countries) (2022). Accra: Afrobarometer. https://www.afrobarometer.org/data/merged-data; and Felton, Jamy. 2024. Data Codebook for a Round 8 Afrobarometer Survey. Accra: Afrobarometer. https://www.afrobarometer.org/ wp-content/uploads/2025/07/R8_Merge-Codebook_28May24. final_.pdf.
DOI: 10.60707/qrga-pt59
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/qna7-x457
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/qn89-wg73
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/th3p-ac12
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/rnpg-va09
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.5519/qd.5bwdgl7h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2111 records)
DOI: 10.60707/8gm4-7685
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/ch6c-2671
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/4527-jk34
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/tr76-tz34
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/avk8-0e39
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.7910/dvn/ohz1ma
title: Replication Data for: Analysis of CHIP50 data

description: Analysis of CHIP50 data, Chapters 3 and 4, Figures 3.5-3.8, 4.4-4.6, Table A.5, A.7, A.8. 
Data are provided in .csv format. Command file is a Python notebook.
DOI: 10.60707/e4z2-rq57
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.60707/rvx3-cy79
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for Singerling et al. GCA paper
DOI: 10.15468/dl.trdks6
title: Occurrence Download

description: A dataset containing 2971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamophylax nigricornis"
 ]
}

 The dataset includes 2971 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003959-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/4m45-mz65
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for McCoy-Russell Nature paper
DOI: 10.60707/qmnt-fw27
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for McCoy-Russell Nature paper
DOI: 10.6084/m9.figshare.31390183
title: Table S5. DEA Results

description: Results of DEA with DESeq2; pre-filtering genes with &lt;10 counts; independent filtering from DESeq2. 22 comparisons.
DOI: 10.6084/m9.figshare.31390183.v1
title: Table S5. DEA Results

description: Results of DEA with DESeq2; pre-filtering genes with &lt;10 counts; independent filtering from DESeq2. 22 comparisons.
DOI: 10.60707/3f0s-pp20
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for McCoy-Russell Nature paper
DOI: 10.5281/zenodo.18744555
title: GENDER ISSUES IN LINGUISTICS ON THE BASIS OF ENGLISH AND UZBEK LITERARY TEXTS

description: This article will explore the gender issues and their illustration in literary works comparing the samples of Uzbek and English short stories. The article tried to draw similar features of different languages in the samples of English and Uzbek literary works. The samples were given to show how the status of females were described in different cultures and langauges.
DOI: 10.5281/zenodo.18744556
title: GENDER ISSUES IN LINGUISTICS ON THE BASIS OF ENGLISH AND UZBEK LITERARY TEXTS

description: This article will explore the gender issues and their illustration in literary works comparing the samples of Uzbek and English short stories. The article tried to draw similar features of different languages in the samples of English and Uzbek literary works. The samples were given to show how the status of females were described in different cultures and langauges.
DOI: 10.5522/04/31390111
title: C9orf72 Degradome Foundation Atlas

description: The <b>C9orf72 Degradome Foundation Atlas (v1)</b> is an open-access, curated peptide resource providing a comprehensive map of proteolytic fragments derived from C9orf72 protein species relevant to neurodegenerative disease research.Hexanucleotide repeat expansions in <i>C9orf72</i> represent the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). In addition to the canonical protein, repeat-associated non-ATG (RAN) translation produces dipeptide repeat proteins (DPRs) that contribute to aggregation, toxicity, and neurodegeneration. This atlas captures C9orf72 as a dynamic degradome of peptide fragments generated through proteolytic processing and repeat-associated biology.Included in Version 1:Wild-type C9orf72C9orf72 point mutation K285QC9orf72 dipeptide repeat protein (DPR) GP<sub>6</sub>C9orf72 dipeptide repeat protein (DPR) GP<sub>100</sub>What This Dataset ProvidesThis atlas delivers a systematically enumerated and annotated reference set of C9orf72-derived proteolytic peptides, each enriched with biochemical and biophysical descriptors to support:Biomarker discoveryAssay developmentProteomics pipeline benchmarkingAI/ML model trainingTranslational neuroscience researchKey Features<b>Thermodynamic stability predictions</b> for each peptide, with stable candidates flagged for assay suitability<b>Hydrophobicity and net charge annotations</b> to guide solubility and experimental design<b>Proteolytic origin mapping</b>, including cleavage site informationStandardised, structured format for seamless integration into bioinformatics workflowsData FormatPeptide annotations provided as comma-delimited ASCII <code>.csv</code> filesDistributed as compressed <code>.tar.gz</code> archives for efficient storage and downloadFully compatible with Python, R, SAS, and machine-learning frameworksReproducibility and MethodsAll datasets are fully reproducible using open-source computational workflows. The repository includes complete, documented Python scripts enabling regeneration, validation, and expansion of the degradome. The framework is designed for iterative updates as new C9orf72 variants, DPRs, or cleavage sites are identified.ApplicationsIdentification of C9orf72-derived peptides for ALS and FTD biomarker discoverySelection of chemically stable and soluble targets for immunoassay developmentExploration of DPR proteolytic landscapes and aggregation biologyIntegration with multi-omics datasets for systems-level modellingTraining and benchmarking AI models for cleavage-site prediction and fragment classificationThis Atlas is particularly valuable for researchers in neurodegeneration, proteomics, molecular neuroscience, neuroimmunology, and computational biology who seek a structured, peptide-level understanding of C9orf72 processing and its role in disease.
DOI: 10.5522/04/31390111.v1
title: C9orf72 Degradome Foundation Atlas

description: The <b>C9orf72 Degradome Foundation Atlas (v1)</b> is an open-access, curated peptide resource providing a comprehensive map of proteolytic fragments derived from C9orf72 protein species relevant to neurodegenerative disease research.Hexanucleotide repeat expansions in <i>C9orf72</i> represent the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). In addition to the canonical protein, repeat-associated non-ATG (RAN) translation produces dipeptide repeat proteins (DPRs) that contribute to aggregation, toxicity, and neurodegeneration. This atlas captures C9orf72 as a dynamic degradome of peptide fragments generated through proteolytic processing and repeat-associated biology.Included in Version 1:Wild-type C9orf72C9orf72 point mutation K285QC9orf72 dipeptide repeat protein (DPR) GP<sub>6</sub>C9orf72 dipeptide repeat protein (DPR) GP<sub>100</sub>What This Dataset ProvidesThis atlas delivers a systematically enumerated and annotated reference set of C9orf72-derived proteolytic peptides, each enriched with biochemical and biophysical descriptors to support:Biomarker discoveryAssay developmentProteomics pipeline benchmarkingAI/ML model trainingTranslational neuroscience researchKey Features<b>Thermodynamic stability predictions</b> for each peptide, with stable candidates flagged for assay suitability<b>Hydrophobicity and net charge annotations</b> to guide solubility and experimental design<b>Proteolytic origin mapping</b>, including cleavage site informationStandardised, structured format for seamless integration into bioinformatics workflowsData FormatPeptide annotations provided as comma-delimited ASCII <code>.csv</code> filesDistributed as compressed <code>.tar.gz</code> archives for efficient storage and downloadFully compatible with Python, R, SAS, and machine-learning frameworksReproducibility and MethodsAll datasets are fully reproducible using open-source computational workflows. The repository includes complete, documented Python scripts enabling regeneration, validation, and expansion of the degradome. The framework is designed for iterative updates as new C9orf72 variants, DPRs, or cleavage sites are identified.ApplicationsIdentification of C9orf72-derived peptides for ALS and FTD biomarker discoverySelection of chemically stable and soluble targets for immunoassay developmentExploration of DPR proteolytic landscapes and aggregation biologyIntegration with multi-omics datasets for systems-level modellingTraining and benchmarking AI models for cleavage-site prediction and fragment classificationThis Atlas is particularly valuable for researchers in neurodegeneration, proteomics, molecular neuroscience, neuroimmunology, and computational biology who seek a structured, peptide-level understanding of C9orf72 processing and its role in disease.
DOI: 10.60707/1sq2-fy12
title: TEM analyses of Na,Ca carbonate nanoparticles in sample OREX-800045-102 for McCoy-Russell Nature paper
DOI: 10.6084/m9.figshare.31382974
title: Table S7. Sex Effect GSEA Pathways

description: Gene Set Enrichment Analysis results for sex contrasts (CFA male vs female and CNR-401 male vs female, adjusted for treatment). Contains 850 pathways from GO, KEGG, and Reactome databases with enrichment scores, normalized enrichment scores, p-values, and FDR. CSV format.
DOI: 10.6084/m9.figshare.31382974.v1
title: Table S7. Sex Effect GSRA Pathways

description: Gene Set Enrichment Analysis results for sex contrasts (CFA male vs female and CNR-401 male vs female, adjusted for treatment). Contains 850 pathways from GO, KEGG, and Reactome databases with enrichment scores, normalized enrichment scores, p-values, and FDR. CSV format.
DOI: 10.6084/m9.figshare.31382974.v2
title: Table S7. Sex Effect GSEA Pathways

description: Gene Set Enrichment Analysis results for sex contrasts (CFA male vs female and CNR-401 male vs female, adjusted for treatment). Contains 850 pathways from GO, KEGG, and Reactome databases with enrichment scores, normalized enrichment scores, p-values, and FDR. CSV format.
DOI: 10.5281/zenodo.18369720
title: CHUIS/1 (FAIR Digital Object)
DOI: 10.5281/zenodo.18744583
title: CHUIS/1 (FAIR Digital Object)
DOI: 10.15468/dl.4a9krm
title: Occurrence Download

description: A dataset listing the 78 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ovis"
 ]
}

 The dataset's 78 records were derived from 514 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003933-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ma7u6t
title: Occurrence Download

description: A dataset containing 50553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Madracis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 50553 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003908-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.wz2yyw4v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (900 records)
DOI: 10.25976/e0vq-cv76
title: Chignecto Area Watersheds Monitoring Program

description: EOS Eco-Energy is a small, charitable organization based in Sackville, New Brunswick. In 2017, EOS established the Chignecto Area Watersheds Monitoring Program, with an aim to maintain the long-term sustainability of our local watersheds by promoting watershed awareness through citizen science, public education, conducting long-term water quality monitoring, and performing subsequent restoration and protection activities. Each year 12 sites are monitored in the Tantramar, Rockport – Dorchester and Cape Tormentine Peninsula areas. In-situ measurements are collected from May to October using a portable water quality sensor. Bottle samples collected from June to September are sent for laboratory analysis of a full suite of surface water parameters. This project would not be possible without our main funder, the New Brunswick Environmental Trust Fund. In 2025, an Ecological Corridors project funded by Parks Canada and in collaboration with Birds Canada and Nature NB has allowed EOS to extend monitoring efforts to two sites in the Missaquash Watershed across the Chignecto Isthmus. In addition to standard water quality measurements, two temperature data loggers are deployed at these sites. This continuous time-series data is submitted separately to DataStream. These activities will gauge the health of aquatic habitat corridors, with special attention to cold water fish species.
description: A YSI ProQuatro handheld multiparameter meter is used to measure in-situ water quality parameters (temperature, DO, pH, specific conductivity, salinity, and TDS) at all sampling locations from May to October. To assess additional surface water parameters (nutrients, major ions, trace metals, and bacteria), a grab sample of water is collected (800 mL) and sent to the Research and Productivity Council Laboratory in Moncton for analysis (https://www.rpc.ca/english/index.html). Monitoring activities follow the New Brunswick Department of Environment and Local Government "Monitoring Guide for Watershed Groups in New Brunswick" which is updated annually.
DOI: 10.18419/darus-3592
title: Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

description: This dataset contains the codes for the invasion percolation models and comparison method used in the manuscript: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data
description: MATLAB, 2021b
DOI: 10.5281/zenodo.18743327
title: INJECTION MOLD ELEMENTS

description: Set of 3D files of mold element comming from different injection mold manufacured by Pernoud
DOI: 10.5281/zenodo.18743328
title: INJECTION MOLD ELEMENTS

description: Set of 3D files of mold element comming from different injection mold manufacured by Pernoud
DOI: 10.5519/qd.q1y975wn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (56 records)