cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10452934
title: Forward-Predictive SERS-Based Chemical Taxonomy for Untargeted Structural Elucidation of Epimeric Cerebrosides
DOI: 10.5281/zenodo.10452935
title: Forward-Predictive SERS-Based Chemical Taxonomy for Untargeted Structural Elucidation of Epimeric Cerebrosides
DOI: 10.5281/zenodo.10823066
title: ENTSO-E ERAA 2023 files in Parquet format

description: demand time-series, PECD (renewables) and hydropower data from the ERAA 2023 (ERAA Downloads | ENTSO-E – ERAA 2023 (entsoe.eu)). 

Original data (in CSV and Excel format) is converted in Parquet in a format more suitable for modelling and analysis.

This dataset includes:



Demand time-series for all the modelled zones for the years 2025, 2028, 2030, 2033

Capacity factors for all the modelled zones for the following technologies: wind onshore, wind offshore, solar PV rooftop, solar PV utility-scale, CSP with storage and without storage. All the capacity factors are available for the year 2025, 2028, 2030, 2033. All the files are available in the zipped file PECD.zip

Hydropower data (installed capacity and time-series of daily/weekly inflow, min/max generating power, min/max reservoir levels) for run-of-river, pondage, reservoir-based plants, pumped-storage open- and closed-loop.
DOI: 10.5281/zenodo.10823065
title: ENTSO-E ERAA 2023 files in Parquet format

description: demand time-series, PECD (renewables) and hydropower data from the ERAA 2023 (ERAA Downloads | ENTSO-E – ERAA 2023 (entsoe.eu)). 

Original data (in CSV and Excel format) is converted in Parquet in a format more suitable for modelling and analysis.

This dataset includes:



Demand time-series for all the modelled zones for the years 2025, 2028, 2030, 2033

Capacity factors for all the modelled zones for the following technologies: wind onshore, wind offshore, solar PV rooftop, solar PV utility-scale, CSP with storage and without storage. All the capacity factors are available for the year 2025, 2028, 2030, 2033. All the files are available in the zipped file PECD.zip

Hydropower data (installed capacity and time-series of daily/weekly inflow, min/max generating power, min/max reservoir levels) for run-of-river, pondage, reservoir-based plants, pumped-storage open- and closed-loop.
DOI: 10.6084/m9.figshare.25203362
title: Raw data tables

description: Raw data tables
DOI: 10.6084/m9.figshare.25203362.v1
title: Raw data tables

description: Raw data tables
DOI: 10.6084/m9.figshare.25203362.v2
title: Raw data tables

description: Raw data tables
DOI: 10.5281/zenodo.8381730
title: Neural Signals and Human Behavior - encodingN200

description: Behavioral and EEG data collected while participants performed a two-alternative forced-choice task where they discriminated whether a Gabor patch presented with added dynamic noise is higher or lower spatial frequency. Task difficulty was manipulated by adding spatial white noise to manipulate the quality of perceptual evidence available to make the discrimination. The signal and the noise flickered at 40 and 30 Hz frequencies, respectively. 4 participants performed the task in blocks of trials at 3 added noise levels (low, medium, and high). Each subject performed approximately 3000 trials over 7 experimental sessions, while 128 channels of EEG and behavioral data were recorded.

This dataset is used in the article "Deep Latent Variable Joint Cognitive Modeling of Neural Signals and Human Behavior": https://www.sciencedirect.com/science/article/pii/S1053811924000545
DOI: 10.5281/zenodo.8381731
title: Neural Signals and Human Behavior - encodingN200

description: Behavioral and EEG data collected while participants performed a two-alternative forced-choice task where they discriminated whether a Gabor patch presented with added dynamic noise is higher or lower spatial frequency \citep[for details, see Experiment 2 by][]{nunez2019latency}. Task difficulty was manipulated by adding spatial white noise to manipulate the quality of perceptual evidence available to make the discrimination. The signal and the noise flickered at 40 and 30 Hz frequencies, respectively. 4 participants performed the task in blocks of trials at 3 added noise levels (low, medium, and high). Each subject performed approximately 3000 trials over 7 experimental sessions, while 128 channels of EEG and behavioral data were recorded.
DOI: 10.5281/zenodo.8381751
title: Neural Signals and Human Behavior - encodingN200

description: Behavioral and EEG data collected while participants performed a two-alternative forced-choice task where they discriminated whether a Gabor patch presented with added dynamic noise is higher or lower spatial frequency. Task difficulty was manipulated by adding spatial white noise to manipulate the quality of perceptual evidence available to make the discrimination. The signal and the noise flickered at 40 and 30 Hz frequencies, respectively. 4 participants performed the task in blocks of trials at 3 added noise levels (low, medium, and high). Each subject performed approximately 3000 trials over 7 experimental sessions, while 128 channels of EEG and behavioral data were recorded.

This dataset is used in the article "Deep Latent Variable Joint Cognitive Modeling of Neural Signals and Human Behavior": https://www.sciencedirect.com/science/article/pii/S1053811924000545
DOI: 10.6084/m9.figshare.11761845
title: Is There a Kuznets Curve For Intra-City Earnings Inequality?

description: Original data and final datasets, codes.<br>
Appendices.<br>
DOI: 10.6084/m9.figshare.11761845.v4
title: Is There a Kuznets Curve For Intra-City Earnings Inequality?

description: Original data and final datasets, codes.<br>
Appendices.<br>
DOI: 10.6084/m9.figshare.11761845.v3
title: Is There a Kuznets Curve For Intra-City Earnings Inequality?

description: Original data and final datasets, codes.<br>
Appendices.<br>
DOI: 10.5281/zenodo.10825196
title: Synthethic MC dataset
DOI: 10.5281/zenodo.10825197
title: Synthethic MC dataset
DOI: 10.34740/kaggle/dsv/7860620
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.10825299
title: Benchmark dataset for protein function prediction that integrates various protein information

description: This research was funded by the National Science Centre in Poland (grant number 2021/41/N/ST6/01919)
DOI: 10.5281/zenodo.10825300
title: Benchmark dataset for protein function prediction that integrates various protein information

description: This research was funded by the National Science Centre in Poland (grant number 2021/41/N/ST6/01919)
DOI: 10.6084/m9.figshare.25423288
title: 20240317_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.25423288.v1
title: 20240317_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.10824828
title: Data Accompanying "Viscoelastic material properties determine contact mechanics of hydrogel spheres"
DOI: 10.5281/zenodo.10825289
title: Greece's OpenGov Database

description: This is a database of conducted public consultations on Greece's OpenGov eParticipation platform. It comprises of all draft legislations, contributions and the corresponding voted Bills from 2009-10 (where OpenGov was first created) until 2023-07.

This dataset was created in the context of my thesis titled "Impact Analysis of Greece's OpenGov Public Consultation Contributions on Final Legislation". Details can be found on the github repository.

The database is in an sqlite dump and compressed format.
DOI: 10.5281/zenodo.10825288
title: Greece's OpenGov Database

description: This is a database of conducted public consultations on Greece's OpenGov eParticipation platform. It comprises of all draft legislations, contributions and the corresponding voted Bills from 2009-10 (where OpenGov was first created) until 2023-07.

This dataset was created in the context of my thesis titled "Impact Analysis of Greece's OpenGov Public Consultation Contributions on Final Legislation". Details can be found on the github repository.

The database is in an sqlite dump and compressed format.
DOI: 10.5281/zenodo.10825318
title: Source code and intermediate data for the tradeSeqDTU project

description: Development: working folder for reproducing the results of the mock and performance benchmarks.

Pancreas_case: intermediate data and code for the pancreas case study. The raw data is not yet included as this is still a project in progress, and the upload would be very large (15Gb)

iPSC_case: intermediate data and code for the pancreas case study. The raw data is not yet included as this is still a project in progress, and the upload would be very large (32Gb)
DOI: 10.5281/zenodo.10825319
title: Source code and intermediate data for the tradeSeqDTU project

description: Development: working folder for reproducing the results of the mock and performance benchmarks.

Pancreas_case: intermediate data and code for the pancreas case study. The raw data is not yet included as this is still a project in progress, and the upload would be very large (15Gb)

iPSC_case: intermediate data and code for the pancreas case study. The raw data is not yet included as this is still a project in progress, and the upload would be very large (32Gb)
DOI: 10.6084/m9.figshare.25423369
title: pLDDT.xlsx

description: <b>Valores de pLDDT para todos os modelos estruturas das CPs de geminivírus gerados pelo AlphaFold2</b>
DOI: 10.6084/m9.figshare.25423369.v1
title: pLDDT.xlsx

description: <b>Valores de pLDDT para todos os modelos estruturas das CPs de geminivírus gerados pelo AlphaFold2</b>
DOI: 10.5281/zenodo.10437570
title: ANOVA code
DOI: 10.5281/zenodo.10437571
title: ANOVA code
DOI: 10.5281/zenodo.10437629
title: ANOVA code
DOI: 10.5281/zenodo.10437630
title: ANOVA code
DOI: 10.5281/zenodo.10437637
title: Regression analysis code
DOI: 10.5281/zenodo.10437638
title: Regression analysis code
DOI: 10.5281/zenodo.10439504
title: Force data
DOI: 10.5281/zenodo.10439505
title: Force data
DOI: 10.34740/kaggle/dsv/6114424
title: MIT-BIH Arrhythmia Database (Simple CSVs)
DOI: 10.5281/zenodo.10825350
title: campanula_jacobaea_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10825351
title: campanula_jacobaea_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10824570
title: Mass cytometry data for "High-dimensional mass cytometry reveals stemness state heterogeneity in pancreatic ductal adenocarcinoma"

description: Raw suspension mass cytometry data supporting the publication "High-dimensional mass cytometry reveals stemness state heterogeneity in pancreatic ductal adenocarcinoma".
DOI: 10.5281/zenodo.10825352
title: cucumis_cinereus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10825353
title: cucumis_cinereus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5519/qd.0ojf4g9y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (149 records)
DOI: 10.5281/zenodo.10825366
title: cucumis_variabilis_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10825367
title: cucumis_variabilis_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10825378
title: gonatodes_alexandermendesi_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10825379
title: gonatodes_alexandermendesi_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.25345/c5cn6z968
title: MassIVE MSV000094333 - Proteomic analysis of lung responses to SARS-CoV-2 infection in aged non-human primates: clinical and research relevance
title: With devastating health and socioeconomic impact worldwide, much work is left to understand the coronavirus disease 2019 (COVID-19), with emphasis in the severely affected elderly population. Here, we present a proteomics study of lung tissue obtained from aged vs. young rhesus macaques (Macaca mulatta) and olive baboons (Papio Anubis) infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Using age as a variable, we identified common proteomic profiles in the lungs of aged infected non-human primates (NHPs), including key regulators of immune function, as well as cell and tissue remodeling, and discuss the potential clinical relevance of such parameters. Further, we identified key differences in proteomic profiles between both NHP species, and compared those to what is known about SARS-CoV-2 in humans. Finally, we explored the translatability of these animal models in the context of aging and the human presentation of the COVID-19.
DOI: 10.22002/exj88-a4k98
title: Dataset: Modulating cell proliferation by asymmetric division: A conserved pattern in the early embryogenesis of nematode species

description: Trends in cell cycle length, and the available quantitative information on cell number before gastrulation onset as well as number of gastrulating cells in different nematode species.
DOI: 10.6084/m9.figshare.25423501
title: Colombia election and violence data for assembly elections in 1986 and 1994

description: Data on assembly elections in 1986 and 1994, literacy, population, percent of population with electricity, and violence from before and after 1993. Variables have are municipality-level values for before and after 1993.From Centro Nacional (2023):Dead - people killed by all violence in ColombiaFARC dead - people killed by FARC violence UP Killed - number of members of the UP party assassinatedFrom Manson et al. (2023):Population, unemployment, pct literate, pct with electricity - demographic variablesFrom El Centro de Estudios:Number of UP candidates and percent of vote going to UPEl Centro de Estudios sobre Desarrollo Economico - CEDE de la Universidad de los Andes. “Resultados Electorales.” https://ainteractivo.net/cedaesite/descarga-los-datos-re/ (November 7, 2023). Centro Nacional de Memoria Historica. 2012. “Basta Ya Bases de Datos.” https://www.centrodememoriahistorica.gov.co/micrositios/informeGeneral/basesDatos.html. Manson, Steven et al. 2023. IPUMS Intergenerational Historical Geographic Information System: Version 2. Minneapolis, MN: IPUMS. http://doi.org/10.18128/D120.V2.
DOI: 10.6084/m9.figshare.25423501.v1
title: Colombia election and violence data for assembly elections in 1986 and 1994

description: Data on assembly elections in 1986 and 1994, literacy, population, percent of population with electricity, and violence from before and after 1993. Variables have are municipality-level values for before and after 1993.From Centro Nacional (2023):Dead - people killed by all violence in ColombiaFARC dead - people killed by FARC violence UP Killed - number of members of the UP party assassinatedFrom Manson et al. (2023):Population, unemployment, pct literate, pct with electricity - demographic variablesFrom El Centro de Estudios:Number of UP candidates and percent of vote going to UPEl Centro de Estudios sobre Desarrollo Economico - CEDE de la Universidad de los Andes. “Resultados Electorales.” https://ainteractivo.net/cedaesite/descarga-los-datos-re/ (November 7, 2023). Centro Nacional de Memoria Historica. 2012. “Basta Ya Bases de Datos.” https://www.centrodememoriahistorica.gov.co/micrositios/informeGeneral/basesDatos.html. Manson, Steven et al. 2023. IPUMS Intergenerational Historical Geographic Information System: Version 2. Minneapolis, MN: IPUMS. http://doi.org/10.18128/D120.V2.
DOI: 10.5281/zenodo.10552959
title: Water surface occurrence and recurrence from the article "Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction"

description: This data package contains the 10 m spatial resolution occurrence and recurrence water surface masks from the article "Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction" . These maps have been produced with Sentinel-1 images (10 m) and a Deep Learning method for image segmentation called U-net, methods and data are fully described in the article. Water surface occurrence is computed for the period 2022-2023 and indicates the percentage of time that a pixel is classified as water (100%: always water, 0%: never water, and values between 0 and 100 indicate seasonality). Water surface recurrence is computed for the period 2022-2023 and indicates the number of times that a pixel was classified as a water surface, i.e., 35 indicates that the pixel was classified 35 times as a water surface during the 2022-2023 period. The total size of the dataset is 158 Mo and is distributed in two Geotiffs, one for the water surface occurence and one for the water surface. When using this dataset, please cite the original article https://doi.org/10.3390/rs16061056
DOI: 10.5281/zenodo.10552960
title: Water surface occurrence and recurrence from the article "Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction"

description: This data package contains the 10 m spatial resolution occurrence and recurrence water surface masks from the article "Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction" . These maps have been produced with Sentinel-1 images (10 m) and a Deep Learning method for image segmentation called U-net, methods and data are fully described in the article. Water surface occurrence is computed for the period 2022-2023 and indicates the percentage of time that a pixel is classified as water (100%: always water, 0%: never water, and values between 0 and 100 indicate seasonality). Water surface recurrence is computed for the period 2022-2023 and indicates the number of times that a pixel was classified as a water surface, i.e., 35 indicates that the pixel was classified 35 times as a water surface during the 2022-2023 period. The total size of the dataset is 158 Mo and is distributed in two Geotiffs, one for the water surface occurence and one for the water surface. When using this dataset, please cite the original article https://doi.org/10.3390/rs16061056
DOI: 10.6084/m9.figshare.25423495
title: Colombia violence data

description: Data on violence, literacy, population, percent of population with electricity, and violence annually from 1980 to 2012. Variables have are municipality-level values.From Centro Nacional (2023):Dead - people killed by all violence in ColombiaFARC dead - people killed by FARC violenceUP Killed - number of members of the UP party assassinatedFrom Manson et al. (2023):Population, unemployment, pct literate, pct with electricity - demographic variablesFrom El Centro de Estudios:Number of UP candidates and percent of vote going to UPEl Centro de Estudios sobre Desarrollo Economico - CEDE de la Universidad de los Andes. “Resultados Electorales.” https://ainteractivo.net/cedaesite/descarga-los-datos-re/ (November 7, 2023).Centro Nacional de Memoria Historica. 2012. “Basta Ya Bases de Datos.” https://www.centrodememoriahistorica.gov.co/micrositios/informeGeneral/basesDatos.html.Manson, Steven et al. 2023. IPUMS Intergenerational Historical Geographic Information System: Version 2. Minneapolis, MN: IPUMS. http://doi.org/10.18128/D120.V2.
DOI: 10.6084/m9.figshare.25423495.v1
title: Colombia violence data

description: Data on violence, literacy, population, percent of population with electricity, and violence annually from 1980 to 2012. Variables have are municipality-level values.From Centro Nacional (2023):Dead - people killed by all violence in ColombiaFARC dead - people killed by FARC violenceUP Killed - number of members of the UP party assassinatedFrom Manson et al. (2023):Population, unemployment, pct literate, pct with electricity - demographic variablesFrom El Centro de Estudios:Number of UP candidates and percent of vote going to UPEl Centro de Estudios sobre Desarrollo Economico - CEDE de la Universidad de los Andes. “Resultados Electorales.” https://ainteractivo.net/cedaesite/descarga-los-datos-re/ (November 7, 2023).Centro Nacional de Memoria Historica. 2012. “Basta Ya Bases de Datos.” https://www.centrodememoriahistorica.gov.co/micrositios/informeGeneral/basesDatos.html.Manson, Steven et al. 2023. IPUMS Intergenerational Historical Geographic Information System: Version 2. Minneapolis, MN: IPUMS. http://doi.org/10.18128/D120.V2.
DOI: 10.5281/zenodo.10825409
title: PANIWATER_820718_RCSI_Paper1_01_1.0.1.rar
title: Dataset for paper - 10.1016/j.jece.2023.110314

description: Dataset for paper: Good optical transparency is not an essential requirement for effective solar water disinfection (SODIS) containers - 10.1016/j.jece.2023.110314
DOI: 10.5281/zenodo.10825410
title: PANIWATER_820718_RCSI_Paper1_01_1.0.1.rar
title: Dataset for paper - 10.1016/j.jece.2023.110314

description: Dataset for paper: Good optical transparency is not an essential requirement for effective solar water disinfection (SODIS) containers - 10.1016/j.jece.2023.110314
DOI: 10.5281/zenodo.10569516
title: A Comprehensive Self-Consolidating Concrete Dataset for Advanced Construction Practices

description: Size: over 2500 Self-consolidating concrete mixtures from 176 published papers.

Material type: Self-consolidating concrete (SCC).

Features:



Identification features (5 features): References, number of the mixture, the authors, year of publication, & the mixture code.

Powders type, content, & density (76 features): Cement, various supplementary cementitious materials, & other mineral additions.

Paste properties (8 features): The total amount of powder used, the water content, the calculated volume of the paste, the water-to-cement ratio, the water-to-binder ratio, the water-to-powder ratio, the volume of water to the volume of powder ratio, & the volume of water to the volume of cement ratio.

Aggregate properties (7 features): Content and density of fine and coarse aggregates, the total aggregate, the maximum size of the aggregate, & the fine-to-total-aggregate ratio.

Admixture properties (3 features): Quantity of admixture used, its proportion relative to the cement & the total binder content.



Properties:



Fresh properties (13 features): Including filling ability properties, i.e., slump flow spread, V-funnel flow time, & the T50 time; Passing ability properties, i.e., J-Ring flow spread, L-box H1/H2 ratio, & U-box flow; Segregation resistance i.e., sieve segregation index, column segregation index, dynamic segregation index, segregation factor, & sieve GTM stability test. Additionally, the percentage of air content is also documented.

Rheological properties (3 features): yield stress & plastic viscosity values alongside with the used rheometer. The instruments employed in these measurements include the ICAR Rheometer, R/S Plus Rheometer, ConTec5 Viscometer, ConTec4SCC, Concrete Shear Box, & TR-CRI Concrete Rheometer.



Application: Essential in choosing Self-Compacting Concrete (SCC) mixtures for different uses, considering the importance of both fresh & rheological properties. Intended to support the creation of sustainable & eco-friendly building materials.