cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kkyyvxvkrn
title: Determinants of the revenues of the local government budget

description: Determinants of the revenues of the local government budget: evidence from panel data in Vietnam
DOI: 10.17632/kkyyvxvkrn.1
title: Determinants of the revenues of the local government budget

description: Determinants of the revenues of the local government budget: evidence from panel data in Vietnam
DOI: 10.17632/mw67f3sfxz.1
title: Datasets and input files for "Elastic and Viscoelastic Tidal Deformation of Deimos"

description: The datasets supporting this study, including computed displacement and stress fields for both elastic and viscoelastic simulations, are available via a private link.
DOI: 10.17632/g3npzz5gzf
title: Revegetation enhances soil infiltrability by regulating soil property and root systems: Topsoil exhibits higher sensitivity than subsoil

description: Revegetation enhances soil infiltrability by regulating soil property and root systems: Topsoil exhibits higher sensitivity than subsoil
DOI: 10.17632/g3npzz5gzf.1
title: Revegetation enhances soil infiltrability by regulating soil property and root systems: Topsoil exhibits higher sensitivity than subsoil

description: Revegetation enhances soil infiltrability by regulating soil property and root systems: Topsoil exhibits higher sensitivity than subsoil
DOI: 10.34740/kaggle/dsv/12680410
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/32v833trwy.1
title: Vertical stratification drives divergent spatial trade-offs among xylem cell types in angiosperm trees of a mountain forest in eastern China

description: Trade-offs among vessels, fibers, and parenchyma fractions shift with different forest vertical strata, driven by changes in the relative demands and limitations associated with light availability, water transport, and mechanical support. Specifically, we predicted that in the canopy stratum, where high demands exist for efficient hydraulic conductance and robust mechanical support, the primary trade-off involves balancing investment between vessels and fibers. Conversely, we expected that in the subcanopy and understory strata, characterized by greater resource limitation (particularly light), and heightened vulnerability to physical disturbances, pest, and pathogen attacks, the dominant trade-off occurs between fibers and parenchyma.
This dataset contains fractions of three different cell types (vessels, fibers, ray parenchyma) in the xylem for 119 individuals across 39 species from the mountainous areas of eastern China. The variable level represents the vertical strata classification, VF denotes vessel fraction, FF denotes fiber fraction, and RAPF denotes ray parenchyma fraction.
The code analyzes the trade-offs between vessel and fiber fractions, as well as between parenchyma and fiber fractions, and examines the differences in these trade-offs between different vertical strata.
DOI: 10.17632/y2dbh2rp3s
title: Supplement Data For JEADV-2025-1033

description: Extended data for: Differential risks of venous thromboembolic events in pemphigus and pemphigoid diseases

Maren E Buenning1*, Sri Harini Purusothaman1*, Svea Symannek1*, Philip Curman1,2-4, Khalaf Kridin1,5,6, Enno Schmidt1, Katja Bieber1, Ralf J Ludwig1,7,8
*equal contributors

1 Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
2 Dermato-Venereologica Clinic,Karolinska University Hospital,Stockholm, Sweden
3 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
4 Dermatology and Venereology Division, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden
5 Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
6 Unit of Dermatology and Skin Research Laboratory, Galilee Medical Center, Nahariya, Israel
7 Department of Dermatology, University Hospital Schleswig-Holstein Lübeck, Germany
8 Institute and Comprehensive Centre for Inflammation Medicine, University-Hospital Schleswig-Holstein, Lübeck, Germany
DOI: 10.17632/y2dbh2rp3s.1
title: Supplement Data For JEADV-2025-1033

description: Extended data for: Differential risks of venous thromboembolic events in pemphigus and pemphigoid diseases

Maren E Buenning1*, Sri Harini Purusothaman1*, Svea Symannek1*, Philip Curman1,2-4, Khalaf Kridin1,5,6, Enno Schmidt1, Katja Bieber1, Ralf J Ludwig1,7,8
*equal contributors

1 Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
2 Dermato-Venereologica Clinic,Karolinska University Hospital,Stockholm, Sweden
3 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
4 Dermatology and Venereology Division, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden
5 Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
6 Unit of Dermatology and Skin Research Laboratory, Galilee Medical Center, Nahariya, Israel
7 Department of Dermatology, University Hospital Schleswig-Holstein Lübeck, Germany
8 Institute and Comprehensive Centre for Inflammation Medicine, University-Hospital Schleswig-Holstein, Lübeck, Germany
DOI: 10.6084/m9.figshare.29828426
title: 2007-2025 fashion-sustainability

description: the data of articles published in wos between years 2007 and 2025
DOI: 10.6084/m9.figshare.29828426.v1
title: 2007-2025 fashion-sustainability

description: the data of articles published in wos between years 2007 and 2025
DOI: 10.15468/dl.pb9nh7
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Micralestes occidentalis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 41 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014813-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4pdpgjsbxn
title: SE Australia springtime rainfall forecast using July data

description: Forecasting rainfall into the next season remains highly challenging and is normally presented in
terms of probabilities rather than the expected rainfall as measured by rain gauges. ICE1 show here that, in
favourable cases, for the selected times of the year and selected geographical regions, it is possible to obtain
useful quantitative forecasts of rainfall with a series of relatively simple steps. One such instance explored in
this work is the prediction of austral springtime rainfall in SE Australia regions predominantly based on the
surrounding ocean surface temperatures during the winter.
In the first stage, I search for predictors by exploring correlations between the target rainfall and ocean surface
temperatures at earlier times. In addition to standard ocean climate indicators such as El Niño or the Indian
Ocean Dipole, other typical patterns of variation are captured in terms of the temperatures of selected ocean
areas. When characteristic patterns of correlation are discovered, they are included in the predictor selection
in the form of expansion in terms of the empirical orthogonal functions (EOFs). EOF expansions can provide
very strong signals. For example, in the case of the Indian Ocean, during the winter, the dominant EOF shows a
stronger correlation with future rainfall than the commonly used Indian Ocean Dipole.
The technical part of the forecast model is provided by deep learning artificial neural networks, where I use
the information sources with the strongest correlation in relation to the historical rainfall data as the inputs. The
networks are trained on past rainfall data, and the output is a quantitative forecast based on the current state of
the predictors. The resulting hindcasts appear to be accurate for September and October and less reliable for
November. I also present model forecasts for rainfall during the 2024 austral spring in the selected SE Australia
regions.
DOI: 10.17632/4pdpgjsbxn.1
title: SE Australia springtime rainfall forecast using July data

description: Forecasting rainfall into the next season remains highly challenging and is normally presented in
terms of probabilities rather than the expected rainfall as measured by rain gauges. ICE1 show here that, in
favourable cases, for the selected times of the year and selected geographical regions, it is possible to obtain
useful quantitative forecasts of rainfall with a series of relatively simple steps. One such instance explored in
this work is the prediction of austral springtime rainfall in SE Australia regions predominantly based on the
surrounding ocean surface temperatures during the winter.
In the first stage, I search for predictors by exploring correlations between the target rainfall and ocean surface
temperatures at earlier times. In addition to standard ocean climate indicators such as El Niño or the Indian
Ocean Dipole, other typical patterns of variation are captured in terms of the temperatures of selected ocean
areas. When characteristic patterns of correlation are discovered, they are included in the predictor selection
in the form of expansion in terms of the empirical orthogonal functions (EOFs). EOF expansions can provide
very strong signals. For example, in the case of the Indian Ocean, during the winter, the dominant EOF shows a
stronger correlation with future rainfall than the commonly used Indian Ocean Dipole.
The technical part of the forecast model is provided by deep learning artificial neural networks, where I use
the information sources with the strongest correlation in relation to the historical rainfall data as the inputs. The
networks are trained on past rainfall data, and the output is a quantitative forecast based on the current state of
the predictors. The resulting hindcasts appear to be accurate for September and October and less reliable for
November. I also present model forecasts for rainfall during the 2024 austral spring in the selected SE Australia
regions.
DOI: 10.15468/dl.w3g37q
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014814-250802193616735/datasets/export for details.
DOI: 10.15468/dl.hvdf8m
title: Occurrence Download

description: A dataset containing 48050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.2.98_2",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 48050 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014812-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etejwc
title: Occurrence Download

description: A dataset containing 10185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis bivittata)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 10185 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014815-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zf6bfx
title: Occurrence Download

description: A dataset containing 12448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis chlorophrys)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 12448 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014816-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/22592
title: Chandra X-ray Observatory ObsId 22592

description: Chandra and Gravity observations of Sgr A* to constrain the motion of the NIR source during X-ray flares
DOI: 10.17632/2g7cbvyy9f
title: Technology-themed Communication Research 2025

description: Datasets for a technology-themed communication research, discussing about an Interpersonal Relationship Development through Gameplay among Valorant Players.
DOI: 10.17632/2g7cbvyy9f.1
title: Technology-themed Communication Research 2025

description: Datasets for a technology-themed communication research, discussing about an Interpersonal Relationship Development through Gameplay among Valorant Players.
DOI: 10.17632/s98k9fm74x
title: Tracing the Participation Trajectory of University Youth in Intangible Cultural Heritage: A Grounded Qualitative Study

description: Research Hypothesis
University students' participation in Intangible Cultural Heritage (ICH) is influenced by five factors, including participation foundation and identity-related barriers. These factors can be intervened through three types of strategies such as cognitive cultivation. Moreover, these factors and strategies correspond to the core dimensions of the Theory of Planned Behavior (TPB), promoting the transformation of participation intention into sustained behavior.
Data and Collection
Data: Interview texts (over 120,000 words) from 30 students and young teachers across 5 universities, covering content such as perceptions, motivations, and barriers related to ICH.
Collection: Semi-structured interviews (15-20 minutes) were transcribed and coded using NVivo until theoretical saturation was reached. Cross-coding was used to ensure reliability.
Data Findings
Five influencing factors: participation foundation, identity-related barriers, information accessibility, practical constraints, and motivational drivers.
Three intervention strategies: cognitive cultivation, communication optimization, and activity enhancement.
These factors and strategies map to TPB dimensions: attitude, subjective norms, and perceived behavioral control.
Key Discoveries
Participation behavior results from dynamic interactions between cognitive, emotional, and contextual factors, requiring synergistic intervention with multiple strategies. Identity-related barriers and fragmented information are major obstacles, while outcomes display and similar elements can strengthen sustained participation.
Interpretation and Application
The model reveals the "cognition-intention-behavior" transformation mechanism, providing references for universities and institutions (e.g., integrating ICH into courses, using short videos for communication, designing flexible activities). It is also applicable to research on youth cultural participation in other regions.
DOI: 10.17632/s98k9fm74x.1
title: Tracing the Participation Trajectory of University Youth in Intangible Cultural Heritage: A Grounded Qualitative Study

description: Research Hypothesis
University students' participation in Intangible Cultural Heritage (ICH) is influenced by five factors, including participation foundation and identity-related barriers. These factors can be intervened through three types of strategies such as cognitive cultivation. Moreover, these factors and strategies correspond to the core dimensions of the Theory of Planned Behavior (TPB), promoting the transformation of participation intention into sustained behavior.
Data and Collection
Data: Interview texts (over 120,000 words) from 30 students and young teachers across 5 universities, covering content such as perceptions, motivations, and barriers related to ICH.
Collection: Semi-structured interviews (15-20 minutes) were transcribed and coded using NVivo until theoretical saturation was reached. Cross-coding was used to ensure reliability.
Data Findings
Five influencing factors: participation foundation, identity-related barriers, information accessibility, practical constraints, and motivational drivers.
Three intervention strategies: cognitive cultivation, communication optimization, and activity enhancement.
These factors and strategies map to TPB dimensions: attitude, subjective norms, and perceived behavioral control.
Key Discoveries
Participation behavior results from dynamic interactions between cognitive, emotional, and contextual factors, requiring synergistic intervention with multiple strategies. Identity-related barriers and fragmented information are major obstacles, while outcomes display and similar elements can strengthen sustained participation.
Interpretation and Application
The model reveals the "cognition-intention-behavior" transformation mechanism, providing references for universities and institutions (e.g., integrating ICH into courses, using short videos for communication, designing flexible activities). It is also applicable to research on youth cultural participation in other regions.
DOI: 10.17632/6vxr354dpk
title: Instances for the Job Sequencing and Tool Switching Problem with Non-identical Parallel Machines (SSP-NPM)

description: The data presented here were used in computational experiments to evaluate the different mathematical models proposed for solving the Job Sequencing and Tool Switching Problem with Non-identical Parallel Machines (SSP-NPM), as described in the research article titled "Job sequencing and tool switching problem with non-identical parallel machines: mathematical formulations and modeling improvements" (Hadj Salem et al., 2025). 

We considered three sets of instances: Set I, Set II, and Set III. 
These comprise a total of 1,020 instances, which are divided into 22 subsets.
Detailed information about the structure of the instances in Set-I and Set-II can be found in references Calmels, D. (2022a) and Calmels, D. (2022b), respectively. However, Set-III consists of newly generated random instances. It contains a total of 720 instances, divided into 18 subsets of 40 instances each, where |M| in {2,3}, |J| in {10,15,20}, and |T| in {10,15,20}. 
For each tuple (|M|, |J|, |T|), 4 density levels are generated with 10 instances per level. 
The density level varies between {20%,30%,40%,50%} and corresponds to the percentage of 1 in the tool requirement matrix. 

- Calmels, D. (2022a). A comparison of different mathematical models for the job sequencing and tool switching problem with non-identical parallel machines. International Journal of Operational Research, 45(4):419–441. (https://doi.org/10.1504/IJOR.2022.128396)
- Calmels, D. (2022b). An iterated local search procedure for the job sequencing and tool switching problem with non-identical parallel machines. European Journal of Operational Research, 297(1):66–85. (https://doi.org/10.1016/j.ejor.2021.05.005)
DOI: 10.17632/6vxr354dpk.3
title: Instances for the Job Sequencing and Tool Switching Problem with Non-identical Parallel Machines (SSP-NPM)

description: The data presented here were used in computational experiments to evaluate the different mathematical models proposed for solving the Job Sequencing and Tool Switching Problem with Non-identical Parallel Machines (SSP-NPM), as described in the research article titled "Job sequencing and tool switching problem with non-identical parallel machines: mathematical formulations and modeling improvements" (Hadj Salem et al., 2025). 

We considered three sets of instances: Set I, Set II, and Set III. 
These comprise a total of 1,020 instances, which are divided into 22 subsets.
Detailed information about the structure of the instances in Set-I and Set-II can be found in references Calmels, D. (2022a) and Calmels, D. (2022b), respectively. However, Set-III consists of newly generated random instances. It contains a total of 720 instances, divided into 18 subsets of 40 instances each, where |M| in {2,3}, |J| in {10,15,20}, and |T| in {10,15,20}. 
For each tuple (|M|, |J|, |T|), 4 density levels are generated with 10 instances per level. 
The density level varies between {20%,30%,40%,50%} and corresponds to the percentage of 1 in the tool requirement matrix. 

- Calmels, D. (2022a). A comparison of different mathematical models for the job sequencing and tool switching problem with non-identical parallel machines. International Journal of Operational Research, 45(4):419–441. (https://doi.org/10.1504/IJOR.2022.128396)
- Calmels, D. (2022b). An iterated local search procedure for the job sequencing and tool switching problem with non-identical parallel machines. European Journal of Operational Research, 297(1):66–85. (https://doi.org/10.1016/j.ejor.2021.05.005)
DOI: 10.17632/9h29vf7mn2.1
title: Experimental data of Solitary Wave Propagation over an Elliptical Atoll

description: Free surface elevations recorded by 56 gauges and videos for experiments of solitary wave propagation over an elliptical atoll.
DOI: 10.17632/dmx583j3mr.1
title: Data_CATENA journal

description: These data contain precipitation data extracted from CHIRPS (https://climateserv.servirglobal.net/) and potential evapotranspiration data downloaded from the CRU website (https://data.ceda.ac.uk/badc/cru/data/cru_ts ) for catchments of the Upper Blue Nile River Basin.
It also contains a shapefile of various catchments within the basin. The R code for preparing spatial and temporal plots for precipitation and potential evapotranspiration is included.
DOI: 10.5281/zenodo.16744323
title: Single nucleus RNA-sequencing of human postmortem hippocampus, middle frontal gyrus, and substantia nigra

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "Single nucleus RNA-sequencing of human postmortem hippocampus, middle frontal gyrus, and substantia nigra".

Description: Single nucleus RNA-seq data from hippocampus, middle frontal gyrus, and substantia nigra samples of human PD and control postmortem brains. All three brain regions were co-sampled from each donor to enable direct comparison of transcriptomic signatures across anatomically and functionally distinct regions within the same brain.





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.16744487
title: Single nucleus RNA-sequencing of human postmortem hippocampus, middle frontal gyrus, and substantia nigra

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "Single nucleus RNA-sequencing of human postmortem hippocampus, middle frontal gyrus, and substantia nigra".

Description: Single nucleus RNA-seq data from hippocampus, middle frontal gyrus, and substantia nigra samples of human PD and control postmortem brains. All three brain regions were co-sampled from each donor to enable direct comparison of transcriptomic signatures across anatomically and functionally distinct regions within the same brain.





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset