cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14516824
title: Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation

description: These datasets contain the synthetic data generated with a VAE in the Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation publication (https://doi.org/10.1101/2024.12.30.630738). First, `augmented_data.csv` contains both the real and synthetic patients as rows, and the corresponding genes as columns. Second, `augmented_metadata.csv` contains the subgroup to which each patient, synthetic and real, belong to: WNT, SHH, Group 3, Group 4, G3-G4, synthetic_Group 3, synthetic_Group 4, synthetic_G3-G4.
DOI: 10.5281/zenodo.14516823
title: Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation

description: These datasets contain the synthetic data generated with a VAE in the Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation publication (https://doi.org/10.1101/2024.12.30.630738). First, `augmented_data.csv` contains both the real and synthetic patients as rows, and the corresponding genes as columns. Second, `augmented_metadata.csv` contains the subgroup to which each patient, synthetic and real, belong to: WNT, SHH, Group 3, Group 4, G3-G4, synthetic_Group 3, synthetic_Group 4, synthetic_G3-G4.
DOI: 10.5281/zenodo.17662298
title: Dataset for "Interaction of Carbon Dots with Nucleic Acids is Driven by Their Surface Charge "

description: Datasets for figures presented in paper "Interaction of Carbon Dots with Nucleic Acids is Driven by Their Surface Charge " submitted to JCIM. Data to main text figures are uploaded as Pymol session files, dat files and composed figures (for graphics - Figures 1, 2, 4). The datasets supporting SI figures and tables together with helical parameters for R14AU are presented in zipped folder.Topologies and initial structure for one replicate of each simulated system (and all replicates for NS system) together with MD run input files are presented in zipped folder.
DOI: 10.5281/zenodo.17105692
title: Dataset for "Interaction of Carbon Dots with Nucleic Acids is Driven by Their Surface Charge "

description: Datasets for figures presented in paper "Interaction of Carbon Dots with Nucleic Acids is Driven by Their Surface Charge " submitted to JCIM. Data to main text figures are uploaded as Pymol session files, dat files and composed figures (for graphics - Figures 1, 2, 4). The datasets supporting SI figures and tables together with helical parameters for R14AU are presented in zipped folder.Topologies and initial structure for one replicate of each simulated system (and all replicates for NS system) together with MD run input files are presented in zipped folder.
DOI: 10.17026/ar/uzkwkj
title: PAN-00156698 - terra sigillata bowl type Drag. 27

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00156698&lt;/p&gt;
description: Modified: 2025-11-18T10:54:47+01:00
DOI: 10.5281/zenodo.17986093
title: EduViz-ML-Visualizations Dataset

description: This repository contains the anonymised dataset, study materials, and example EduViz session logs from a study on teaching basic machine learning concepts through explanatory visualisations.
DOI: 10.5281/zenodo.17986094
title: EduViz-ML-Visualizations Dataset

description: This repository contains the anonymised dataset, study materials, and example EduViz session logs from a study on teaching basic machine learning concepts through explanatory visualisations.
DOI: 10.15468/dl.dka4hw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.17_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.17.20_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060260-251120083545085/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.30878213
title: A dataset of the ceramic liquor-bottle manufacturing facility

description: This study is validated using an industrial dataset collected from a ceramic liquor bottle manufacturing plant in Jiangxi, China. The dataset synchronously records the aggregated busbar power and the electricity consumption of four key process stages: drying and forming , ball milling , sintering stage I , and sintering stage II. Data are acquired using NILM terminals (ZX-NILM-31A) and a high-frequency digital recorder at 1.6 kHz with synchronized timestamps, enabling the analysis of cross-stage temporal dependencies. The dataset reflects representative industrial load characteristics, including 380 V three-phase supply, kilowatt-level power ratings, motor-dominated continuous operation, and process-driven load coupling, which differ fundamentally from residential load patterns and provide a realistic benchmark for process-aware industrial NILM.
DOI: 10.6084/m9.figshare.30878213.v3
title: A dataset of the ceramic liquor-bottle manufacturing facility

description: This study is validated using an industrial dataset collected from a ceramic liquor bottle manufacturing plant in Jiangxi, China. The dataset synchronously records the aggregated busbar power and the electricity consumption of four key process stages: drying and forming , ball milling , sintering stage I , and sintering stage II. Data are acquired using NILM terminals (ZX-NILM-31A) and a high-frequency digital recorder at 1.6 kHz with synchronized timestamps, enabling the analysis of cross-stage temporal dependencies. The dataset reflects representative industrial load characteristics, including 380 V three-phase supply, kilowatt-level power ratings, motor-dominated continuous operation, and process-driven load coupling, which differ fundamentally from residential load patterns and provide a realistic benchmark for process-aware industrial NILM.
DOI: 10.6084/m9.figshare.30878213.v2
title: A dataset of the ceramic liquor-bottle manufacturing facility

description: This study is validated using an industrial dataset collected from a ceramic liquor bottle manufacturing plant in Jiangxi, China. The dataset synchronously records the aggregated busbar power and the electricity consumption of four key process stages: drying and forming , ball milling , sintering stage I , and sintering stage II. Data are acquired using NILM terminals (ZX-NILM-31A) and a high-frequency digital recorder at 1.6 kHz with synchronized timestamps, enabling the analysis of cross-stage temporal dependencies. The dataset reflects representative industrial load characteristics, including 380 V three-phase supply, kilowatt-level power ratings, motor-dominated continuous operation, and process-driven load coupling, which differ fundamentally from residential load patterns and provide a realistic benchmark for process-aware industrial NILM.
DOI: 10.5281/zenodo.17795378
title: Mapping of affilations in zbMATH Open and Kompetenznetzwerk Bibliometrie

description: The dataset consists of the following columns:



line_no: line number referencing https://doi.org/10.5281/zenodo.17105142

inst_id: kb instututional coding see swh:1:cnt:aed91480301e6d320165cf6b53bc2bc35326fdee;origin=https://gitlab.ub.uni-bielefeld.de/ag-bibliometrie/institutional-coding.git;visit=swh:1:snp:0873416de68bc05e07671d47314a6380a5f3d121;anchor=swh:1:rev:daa69938f508106847c7c42b8baff8699fe995d7;path=/Version%202.0.0/Basic%20table/u_name.csv;lines=5483


in addition the following derived colums are given



ror (derived from inst_id) data from unit.csv

dfg (derived from ror column) data from https://gerit.org/

zbl (derived from line no) Unique identifier from zbMATH Open. Prefix with https://zbmath.org/ to visit additional information on the article. For example, 5635019 is associated with https://zbmath.org/5635019


All data was manually reviewed by members of zbMATH Open and Kompetenznetzwerk Bibliometrie and can serve as a gold standard for infromation retrieval tasks.

Possible applications are



Given a publication determine Kompetenznetzwerk Bibliometrie / RORs / DFG identifiers of the publication authors.

Given a certain point in time determine Kompetenznetzwerk Bibliometrie / RORs / DFG identifiers of the authors. 


ORCIDs and DOIs can be retrieved from the zbMATH API https://doi.org/10.48550/arXiv.2106.04664

 

Changes between version 2 and version 1:

We removed line

1943,1642,04a3akw68,,7199248

as the affiliation was with Airbus UK (https://ror.org/02hbhxa68) which is not in Airbus Germany (https://ror.org/04a3akw68).
DOI: 10.5281/zenodo.17986306
title: Mapping of affilations in zbMATH Open and Kompetenznetzwerk Bibliometrie

description: The dataset consists of the following columns:



line_no: line number referencing https://doi.org/10.5281/zenodo.17105142

inst_id: kb instututional coding see swh:1:cnt:aed91480301e6d320165cf6b53bc2bc35326fdee;origin=https://gitlab.ub.uni-bielefeld.de/ag-bibliometrie/institutional-coding.git;visit=swh:1:snp:0873416de68bc05e07671d47314a6380a5f3d121;anchor=swh:1:rev:daa69938f508106847c7c42b8baff8699fe995d7;path=/Version%202.0.0/Basic%20table/u_name.csv;lines=5483


in addition the following derived colums are given



ror (derived from inst_id) data from unit.csv

dfg (derived from ror column) data from https://gerit.org/

zbl (derived from line no) Unique identifier from zbMATH Open. Prefix with https://zbmath.org/ to visit additional information on the article. For example, 5635019 is associated with https://zbmath.org/5635019


All data was manually reviewed by members of zbMATH Open and Kompetenznetzwerk Bibliometrie and can serve as a gold standard for infromation retrieval tasks.

Possible applications are



Given a publication determine Kompetenznetzwerk Bibliometrie / RORs / DFG identifiers of the publication authors.

Given a certain point in time determine Kompetenznetzwerk Bibliometrie / RORs / DFG identifiers of the authors. 


ORCIDs and DOIs can be retrieved from the zbMATH API https://doi.org/10.48550/arXiv.2106.04664

 

Changes between version 2 and version 1:

We removed line

1943,1642,04a3akw68,,7199248

as the affiliation was with Airbus UK (https://ror.org/02hbhxa68) which is not in Airbus Germany (https://ror.org/04a3akw68).
DOI: 10.5517/ccdc.csd.ccxmp9h
title: CSD 853067: Experimental Crystal Structure Determination

description: Related Article: Chinthaka Silva, G.W., Kercher, Andrew A., Hunn, John D., Martin, Rodger C., Jellison, Gerald E., Meyer, Harry M.|2012|J.Solid State Chem.|194|91|doi:10.1016/j.jssc.2012.04.047
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.17986360
title: Wanukaka Dictionary

description: Cite the source of the dataset as:




Leif Asplund, Tomas Tagu Dodu, and Allahverdi Verdizade. 2025. Wanukaka Dictionary. Dictionaria 16. 1-3791 (Available online at https://dictionaria.clld.org/contributions/wanukaka)
DOI: 10.5281/zenodo.17986359
title: Wanukaka Dictionary

description: Cite the source of the dataset as:




Leif Asplund, Tomas Tagu Dodu, and Allahverdi Verdizade. 2025. Wanukaka Dictionary. Dictionaria 16. 1-3791 (Available online at https://dictionaria.clld.org/contributions/wanukaka)
DOI: 10.13140/rg.2.2.27385.70248
title: Bandama basin hydro climatic dataset, gridded data, monthly flow rates, gis layers
DOI: 10.5281/zenodo.17985533
title: Black and Bloom Work Package 2  - Particulates - Aerosol and Meteorological data

description: Black and Bloom Work Package 2: Particulates

Black and Bloom is a research project, funded by the UK Natural Environment Research Council (NERC), that aims to unravel how dark particles (black) and microbial processes (bloom) darken and accelerate the melting of the Greenland Ice Sheet.  The data has been collected during two distinct field seasons (July 12 – August 18, 2016 and June 1 – 28, 2017). 

During this time there were instrument outages and also the aerosol samplers were turned off during helicopter activity.

Aerosol & Meteorological sampling

Aerosol particulates (for SEM) were sampled onto 47 mm diameter polycarbonate filters (0.22 um pore size).

Alphasense OPC-N2 optical particle counter (OPC) mounted on the mast was used to measure aerosol particle size distribution

Bertin Instruments Coriolis ® µ air sampler was used to collect larger volume ‘snapshots’ of airborne particulates in water for DNA analysis

WS-GP1 weather station (Delta T Devices Ltd) was used during the 2017 campaign to monitor meteorological parameters

Offilne DNA (OTU) analysis is presented of air samples collected during the campaigns as well as SEM particle size analysis.

 

In situ observations of atmospheric aerosols (optical article counter) and basic meteorological parameters were made to allow an estimate of deposition velocities to be made.

 
description: Data collected as part of Black and Bloom UKRI/NERC Funded project.

Black and Bloom is a research project, funded by the UK Natural Environment Research Council (NERC), that aims to unravel how dark particles (black) and microbial processes (bloom) darken and accelerate the melting of the Greenland Ice Sheet   (blackandbloomorg.wordpress.com/)

Lead investigator: Prof Martyn Tranter (University of Bristol)NERC Grant ref: NE/020770/1
DOI: 10.5281/zenodo.17985532
title: Black and Bloom Work Package 2  - Particulates - Aerosol and Meteorological data

description: Black and Bloom Work Package 2: Particulates

Black and Bloom is a research project, funded by the UK Natural Environment Research Council (NERC), that aims to unravel how dark particles (black) and microbial processes (bloom) darken and accelerate the melting of the Greenland Ice Sheet.  The data has been collected during two distinct field seasons (July 12 – August 18, 2016 and June 1 – 28, 2017). 

During this time there were instrument outages and also the aerosol samplers were turned off during helicopter activity.

Aerosol & Meteorological sampling

Aerosol particulates (for SEM) were sampled onto 47 mm diameter polycarbonate filters (0.22 um pore size).

Alphasense OPC-N2 optical particle counter (OPC) mounted on the mast was used to measure aerosol particle size distribution

Bertin Instruments Coriolis ® µ air sampler was used to collect larger volume ‘snapshots’ of airborne particulates in water for DNA analysis

WS-GP1 weather station (Delta T Devices Ltd) was used during the 2017 campaign to monitor meteorological parameters

Offilne DNA (OTU) analysis is presented of air samples collected during the campaigns as well as SEM particle size analysis.

 

In situ observations of atmospheric aerosols (optical article counter) and basic meteorological parameters were made to allow an estimate of deposition velocities to be made.

 
description: Data collected as part of Black and Bloom UKRI/NERC Funded project.

Black and Bloom is a research project, funded by the UK Natural Environment Research Council (NERC), that aims to unravel how dark particles (black) and microbial processes (bloom) darken and accelerate the melting of the Greenland Ice Sheet   (blackandbloomorg.wordpress.com/)

Lead investigator: Prof Martyn Tranter (University of Bristol)NERC Grant ref: NE/020770/1
DOI: 10.15468/dl.d7qpfw
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.19_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.19.1_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 109 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060263-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17908176
title: GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer's disease
title: GWAS summary statistics

description: Summary statistics for a genome-wide association study (GWAS) to explore the role of short tandem repeats (STRs) on the risk for Alzheimer's disease (AD) in subsets of the UK Biobank cohort. This dataset accompanies the publication "GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer’s disease", which is currently under review with a peer-reviewed journal. A link will to the publication will be provided upon acceptance. In the meantime, the article can be retrieved as medRxiv preprint:

David Gmelin, Olena Ohlei, M. Muaaz Aslam, Marit P. Junge, Laura Parkkinen, Kristina Mullin, Dmitry Prokopenko, Christina Lill, Rudolph E. Tanzi, Valerija Dobricic, Lars Bertram (2025). GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer’s disease. medRxiv, 2025-03-13. https://doi.org/10.1101/2025.03.13.25323833

This dataset contains two directories, 'data.zip' and 'code.zip'. 

The files deposited in the 'data' archive contain GWAS summary statistics for the following four types of analyses. Here, each file corresponds to the variant type (bi-allelic or multi-allelic) and STR source (imputed or WGS-derived), using GWAS tools PLINK2 or associaTR for the respective variant type.1. `gmelin_et_al.UKB_GWAS.imputed_str_biallelic.tsv`: GWAS results using bi-allelic variants based on imputed STRs (association analysis using PLINK2)2. `gmelin_et_al.UKB_GWAS.imputed_str_multiallelic.tsv`: GWAS results using bi-allelic variants based on WGS-derived STRs (association analysis using associaTR)3. `gmelin_et_al.UKB_GWAS.wgs_str_biallelic.tsv`: GWAS results using multi-allelic variants based on imputed STRs (association analysis using PLINK2)4.`gmelin_et_al.UKB_GWAS.wgs_str_multiallelic.tsv`: GWAS results using multi-allelic variants based on WGS-derived STRs (association analysis using associaTR)

 

The 'code' directory contains the state of the code-repository available at https://github.com/dgmelin/ukb_ad_str_gwas at the time of publication.
DOI: 10.5281/zenodo.17908177
title: GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer's disease
title: GWAS summary statistics

description: Summary statistics for a genome-wide association study (GWAS) to explore the role of short tandem repeats (STRs) on the risk for Alzheimer's disease (AD) in subsets of the UK Biobank cohort. This dataset accompanies the publication "GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer’s disease", which is currently under review with a peer-reviewed journal. A link will to the publication will be provided upon acceptance. In the meantime, the article can be retrieved as medRxiv preprint:

David Gmelin, Olena Ohlei, M. Muaaz Aslam, Marit P. Junge, Laura Parkkinen, Kristina Mullin, Dmitry Prokopenko, Christina Lill, Rudolph E. Tanzi, Valerija Dobricic, Lars Bertram (2025). GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer’s disease. medRxiv, 2025-03-13. https://doi.org/10.1101/2025.03.13.25323833

This dataset contains two directories, 'data.zip' and 'code.zip'. 

The files deposited in the 'data' archive contain GWAS summary statistics for the following four types of analyses. Here, each file corresponds to the variant type (bi-allelic or multi-allelic) and STR source (imputed or WGS-derived), using GWAS tools PLINK2 or associaTR for the respective variant type.1. `gmelin_et_al.UKB_GWAS.imputed_str_biallelic.tsv`: GWAS results using bi-allelic variants based on imputed STRs (association analysis using PLINK2)2. `gmelin_et_al.UKB_GWAS.imputed_str_multiallelic.tsv`: GWAS results using bi-allelic variants based on WGS-derived STRs (association analysis using associaTR)3. `gmelin_et_al.UKB_GWAS.wgs_str_biallelic.tsv`: GWAS results using multi-allelic variants based on imputed STRs (association analysis using PLINK2)4.`gmelin_et_al.UKB_GWAS.wgs_str_multiallelic.tsv`: GWAS results using multi-allelic variants based on WGS-derived STRs (association analysis using associaTR)

 

The 'code' directory contains the state of the code-repository available at https://github.com/dgmelin/ukb_ad_str_gwas at the time of publication.
DOI: 10.15468/dl.8ap4gz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-33.17771 32.88404,-6.80199 32.88404,-6.80199 42.98148,-33.17771 42.98148,-33.17771 32.88404))",
 "TaxonKey is Mycteroperca rubra"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060265-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12706647
title: Accounting for plasticity: an extension of inelastic constitutive artificial neural networks (Data and source code)

description: This dataset contains the data, the source code and the predictions of the elasto-plastic material behavior using iCANNs.

The corresponding publication is:

B. Boes, J.-W. Simon, H. Holthusen

Accounting for plasticity: An extension of inelastic constitutive artificial neural networks
DOI: 10.5281/zenodo.12706646
title: Accounting for plasticity: an extension of inelastic constitutive artificial neural networks (Data and source code)

description: This dataset contains the data, the source code and the predictions of the elasto-plastic material behavior using iCANNs.

The corresponding publication is:

B. Boes, J.-W. Simon, H. Holthusen

Accounting for plasticity: An extension of inelastic constitutive artificial neural networks