cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xk82f9
title: Occurrence Download

description: A dataset containing 4198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phedimus aizoon (L.) 't Hart",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4198 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019822-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bz7xbd
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia pubicosta C.T.White"
 ]
}

 The dataset includes 49 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006757-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyrusp
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Justicia angustifolia (Nees) Lindau",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014168-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wepecd
title: Occurrence Download

description: A dataset containing 1345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Haplophyllum linifolium (L.) G.Don"
 ]
}

 The dataset includes 1345 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019814-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15609194
title: DataSet and GitHub repository for 3DCellSimulationsElectricalStimulation

description:  

Dataset associated with the paper “Realistic image-based simulations of multicellular systems exposed to electric fields for applications in impedance sensing and electrical stimulation” (DOI: 10.1016/j.sbsr.2025.100950),

Data_Elegans_Astec.zip contains processed data from the segmentation of the C. elegans and Astec dataset: 



post_processed_images: reconstructed 3D volumes from the TIFFs.

surface_meshes_cells_only: surface NETGEN meshes (.vol.gz) converted from CGAL meshes (.mesh - only the cells without the electrodes).

final_meshes_with_electrode: final volume NETGEN meshes including the electrodes.


3DCellSimulationsElectricalStimulation.zip contains the GitHub repository.

ASTECResultsTimeLapse.zip has time-lapse visualisations of iTMP and electric field dynamics of the ASTEC dataset at the different developmental stages.
DOI: 10.5281/zenodo.15609193
title: DataSet and GitHub repository for 3DCellSimulationsElectricalStimulation

description:  

Dataset associated with the paper “Realistic image-based simulations of multicellular systems exposed to electric fields for applications in impedance sensing and electrical stimulation” (DOI: 10.1016/j.sbsr.2025.100950),

Data_Elegans_Astec.zip contains processed data from the segmentation of the C. elegans and Astec dataset: 



post_processed_images: reconstructed 3D volumes from the TIFFs.

surface_meshes_cells_only: surface NETGEN meshes (.vol.gz) converted from CGAL meshes (.mesh - only the cells without the electrodes).

final_meshes_with_electrode: final volume NETGEN meshes including the electrodes.


3DCellSimulationsElectricalStimulation.zip contains the GitHub repository.

ASTECResultsTimeLapse.zip has time-lapse visualisations of iTMP and electric field dynamics of the ASTEC dataset at the different developmental stages.
DOI: 10.15468/dl.er3qjc
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles pulcherrimus",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061620-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93dxf9
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles punctimacula",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 103 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061623-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/m78r4
title: Artificial Child Face Database

description: Database of 500 artificially generated images of child faces.

Publication:
Thierry, S.M., Uddenberg, S., Albohn, D.N., & Todorov, A. (2025). Capturing variability in children’s faces: an artificial, yet realistic, face stimulus set. Frontiers in Psychology. 

Abstract: 
Children’s faces are underrepresented in face databases, and existing databases that do focus on children tend to have limitations in terms of the number of faces available and the diversity of ages and ethnicities represented. To improve the availability of children’s faces for experimental research purposes, we created a novel face database that contains 500 artificial images of children that are diverse in terms of both age (ages 3 to 10) and ethnicity (representing 15 different racial or ethnic groups). Using deep neural networks, we produced a large collection of synthetic photographs that look like naturalistic, realistic faces of children. To assess the representativeness of the dataset, adult participants (N = 585) judged the age, gender, ethnicity, and emotion of artificial faces selected from the set of 500 images. The images present a diverse array of artificial children’s faces, offering a valuable resource for research requiring children’s faces. The images and ratings are publicly available to researchers on Open Science Framework. 

This database is made available under Creative Commons BY-NC-SA 4.0 license.

You can use, redistribute, and adapt it for non-commercial purposes, as long as you (a) give appropriate credit by citing our paper, (b) indicate any changes that you've made, and (c) distribute any derivative works under the same license.

https://creativecommons.org/licenses/by-nc-sa/4.0/
 
The face dataset used to create the underlying models that in turn were used to generate our synthetic faces can be found at:

https://github.com/NVlabs/ffhq-dataset
DOI: 10.15468/dl.32sfbd
title: Occurrence Download

description: A dataset containing 7650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhus trilobata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7650 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061622-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xct68j
title: Occurrence Download

description: A dataset containing 17022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ribes cereum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17022 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061625-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17998025
title: An RMAT Graph Dataset

description: This is an RMAT graph dataset generated by PaRMAT. This is an undirected and unlabeled graph with 99,999,983 vertices and 2,800,000,000 edges.

This dataset uses a CSR (Compressed Sparse Row) binary format, structured as follows: The file begins with two 32-bit integers representing the vertex count $|V(G)|$ and edge count $|E(G)|$. Next comes the offset array, consisting of $|V(G)|+1$ 64-bit unsigned integers (unsigned long long), where the $i$-th entry points to the start of vertex $i$'s edges in the edge array (0-based), and the last entry equals $2\times |E(G)|$. Following this is the vertex label array, storing $|V(G)|$ 32-bit integers, with the $i$-th value representing the label of vertex $i$. Finally, the edge data consists of $2\times |E(G)|$ 32-bit integers, organized as consecutive destination vertices for each edge, with all edges sorted by their source vertex as defined by the offset array.
DOI: 10.5281/zenodo.17998026
title: An RMAT Graph Dataset

description: This is an RMAT graph dataset generated by PaRMAT. This is an undirected and unlabeled graph with 99,999,983 vertices and 2,800,000,000 edges.

This dataset uses a CSR (Compressed Sparse Row) binary format, structured as follows: The file begins with two 32-bit integers representing the vertex count $|V(G)|$ and edge count $|E(G)|$. Next comes the offset array, consisting of $|V(G)|+1$ 64-bit unsigned integers (unsigned long long), where the $i$-th entry points to the start of vertex $i$'s edges in the edge array (0-based), and the last entry equals $2\times |E(G)|$. Following this is the vertex label array, storing $|V(G)|$ 32-bit integers, with the $i$-th value representing the label of vertex $i$. Finally, the edge data consists of $2\times |E(G)|$ 32-bit integers, organized as consecutive destination vertices for each edge, with all edges sorted by their source vertex as defined by the offset array.
DOI: 10.15468/dl.a6wg74
title: Occurrence Download

description: A dataset containing 1051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Roepera morgsana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1051 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061626-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qj2dh
title: Occurrence Download

description: A dataset containing 20654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosa acicularis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20654 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061627-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhcqpf
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Actualización y depuración de la base de datos del Herbario del Instituto de Ecología, AC, Centro Regional del Bajío. Fase 2",
 "TaxonKey is Arisaema macrospathum"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061628-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14236947
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.17994634
title: Large Graph Datasets

description: This record contains five large graph datasets: orkut, pokec, livejournal, ldbc, and friendster. The ldbc dataset is generated by the LDBC benchmark with scale factor 10. The rest are originally from SNAP.

These datasets use a CSR (Compressed Sparse Row) binary format, structured as follows: The file begins with two 32-bit integers representing the vertex count $|V(G)|$ and edge count $|E(G)|$. Next comes the offset array, consisting of $|V(G)| + 1$ 64-bit unsigned integers (unsigned long long), where the $i$-th entry points to the start of vertex $i$'s edges in the edge array (0-based), and the last entry equals $2 \times |E(G)|$. Following this is the vertex label array, storing $|V(G)|$ 32-bit integers, with the $i$-th value representing the label of vertex $i$. Finally, the edge data consists of $2 \times |E(G)|$ 32-bit integers, organized as consecutive destination vertices for each edge, with all edges sorted by their source vertex as defined by the offset array.
DOI: 10.5281/zenodo.17994633
title: Large Graph Datasets

description: This record contains five large graph datasets: orkut, pokec, livejournal, ldbc, and friendster. The ldbc dataset is generated by the LDBC benchmark with scale factor 10. The rest are originally from SNAP.

These datasets use a CSR (Compressed Sparse Row) binary format, structured as follows: The file begins with two 32-bit integers representing the vertex count $|V(G)|$ and edge count $|E(G)|$. Next comes the offset array, consisting of $|V(G)| + 1$ 64-bit unsigned integers (unsigned long long), where the $i$-th entry points to the start of vertex $i$'s edges in the edge array (0-based), and the last entry equals $2 \times |E(G)|$. Following this is the vertex label array, storing $|V(G)|$ 32-bit integers, with the $i$-th value representing the label of vertex $i$. Finally, the edge data consists of $2 \times |E(G)|$ 32-bit integers, organized as consecutive destination vertices for each edge, with all edges sorted by their source vertex as defined by the offset array.
DOI: 10.6084/m9.figshare.28247063.v2
title: <b>Geographic-dependent Parameter Optimization based on A-4DEnVar: Simulation with an </b><b>Idealized 2-D </b><b>Coupled Model</b>

description: Coupled climate models integrate multiple components including atmospheric, oceanic, and land submodels, while the uncertainty of model parameters from different parameterization schemes or empirically derived inevitably introduces systematic biases. Coupled parameter optimization (CPO) can reduce the systematic biasesin coupled model and enhance its capability for weather forecast and climate prediction. However, the implementation of CPO involves in dealing with strong nonlinear processes inherent in a coupled model. The analytical four-dimensional ensemble variational (A-4DEnVar) data assimilation methodretains the nonlinear processing capability of the four-dimensional variational (4D-Var) data assimilation methodbut gets rid of the dependence on the adjoint model. In this study, a novel dynamic independent point (DIP) scheme combined with a sample-space variable replacement algorithm, which enhances the convexity of the cost function, reduces computational dimensionality, and further expands the parameter subspace, is introduced to A-4DEnVar. Based on the improved A-4DEnVar, a series of geographic-dependent CPO experiments with an idealizedatmosphere-ocean-land coupled modelare carried out. The results show that,despite the strong nonlinear influence from the coupled model, A-4DEnVar can still accurately capture the geographical characteristics of model parameters, and exhibit high-quality performance in geographic-dependent optimization of cross-component parameters. This provides a new perspective when a coupled general circulation model is used for climate estimation and prediction.Additionally, the DIP scheme presents significant advantages compared to the static independent point scheme, especially with fewer independent points. In the case of only 90 independent points, satisfactory geographic-dependent CPO can be achieved.
DOI: 10.15468/dl.wjxedz
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ampelocera albertiae"
 ]
}

 The dataset includes 104 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061630-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2j1qp0
title: CCDC 2325362: Experimental Crystal Structure Determination

description: Related Article: Tong-Tong Liu, Xiao-Wen Li, Yun-Shu Cui, Zihao Deng, Feng Liu, Dan-dan Zhai, Zhang-Jie Shi|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/14236970
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34740/kaggle/dsv/14236975
title: BOS Kemdikbud
DOI: 10.15468/dl.49ycg6
title: Occurrence Download

description: A dataset containing 193158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -20.914722",
 "DecimalLatitude is less than or equal to -15.914722",
 "DecimalLongitude is greater than or equal to -65.0",
 "DecimalLongitude is less than or equal to -60.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 193158 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061621-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18001073
title: OSM_From Fragmentation to Sovereignty: Infrastructural Epistemic Awareness as an ICT4D Framework for Information Development in Indonesia's Digital Public Sphere

description: Code and data for reproducing figures and analyses in the article 'From Fragmentation to Sovereignty: Infrastructural Epistemic Awareness as an ICT4D Framework for Information Development in Indonesia's Digital Public Sphere'.
DOI: 10.5281/zenodo.18001072
title: OSM_From Fragmentation to Sovereignty: Infrastructural Epistemic Awareness as an ICT4D Framework for Information Development in Indonesia's Digital Public Sphere

description: Code and data for reproducing figures and analyses in the article 'From Fragmentation to Sovereignty: Infrastructural Epistemic Awareness as an ICT4D Framework for Information Development in Indonesia's Digital Public Sphere'.
DOI: 10.15468/dl.mjs75k
title: Occurrence Download

description: A dataset containing 120158 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "DatasetKey is one of (VectorNet data Luxembourg 2023-2024, Tick collection_OH ALLIES project_Ireland, OH_SURVector_Hungary_Mosquitoes, VectorNet observations, Investigating the Role of Stable Flies (Stomoxys calcitrans) and Biting Midges (Culicoides spp.) of the genus Culicoides as Potential Mechanical Vectors of African Swine Fever Virus in Lithuania, Poland and Romania, Vector collection_OH surveillance project_Sweden, Monitoring competent vectors of Crimea Congo Haemorragic Fever (ticks) , West Nile and Rift Valley Fever in Spain (mosquitos), OH4Surveillance vector collection in Latvia, OH4Surveillance vector collection in Latvia, One Health Surveillance (OH4S) Vector Collection in Poland - ticks collection, One Health Surveillance (OH4S) Vector Collection in Poland - mosquitoes collection, Mosquito data OH4surveillance Denmark 2024, Tick and moquito collection_OH SURVECTOR project_Slovakia, Vector collection_OH surveillance project Estonia, VectorCollection_SIVIZ_project_Portugal, National tick surveillance in Austria for the detection of tick-borne pathogens 2024 - Project OH SURVector, Results of Tick (Hyalomma and Ixodes ricinus) and Mosquito Surveillance in Croatia in 2024, National mosquito surveillance in Austria for the detection of mosquito-borne pathogens 2024 - Project OH SURVector, VectorDistributionStatus)"
 ]
 },
 "DatasetKey is one of (VectorNet observations)"
 ]
}

 The dataset includes 120158 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061631-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gj8f9
title: Occurrence Download

description: A dataset containing 52205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles punctipennis",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 52205 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061624-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16914503
title: decoder-bench: Benchmarking Decoders for Quantum Error Correction

description: As the field of quantum computing moves towards the realization of Quantum Error Correction (QEC), an increasing amount of attention has been paid to the implementation of decoders--classical systems analyzing the state of error on the quantum device in real-time. However, today there is a lack of tools available to characterize and compare the performance of decoders. In this work, we address this need and introduce decoder-bench, a framework for benchmarking decoders on relevant QEC code traces. decoder-bench integrates with Stim, a high performance tool for analyzing stabilizer circuits, to create traces for a variety of QEC codes and fault-tolerant subroutines. We use decoder-bench to evaluate the accuracy and latency performance of multiple decoders for circuit-level simulations of color code memory experiments, bivariate-bicycle code memory experiments, surface code memory experiments, and surface code lattice surgery experiments.
description: V1: For artifact evaluation at IISWC 2025.

V2: Added more traces for evaluations, collate all files using the command: 

cat datasets.part* > datasets.tar.gz
DOI: 10.5281/zenodo.17987311
title: decoder-bench: Benchmarking Decoders for Quantum Error Correction

description: As the field of quantum computing moves towards the realization of Quantum Error Correction (QEC), an increasing amount of attention has been paid to the implementation of decoders--classical systems analyzing the state of error on the quantum device in real-time. However, today there is a lack of tools available to characterize and compare the performance of decoders. In this work, we address this need and introduce decoder-bench, a framework for benchmarking decoders on relevant QEC code traces. decoder-bench integrates with Stim, a high performance tool for analyzing stabilizer circuits, to create traces for a variety of QEC codes and fault-tolerant subroutines. We use decoder-bench to evaluate the accuracy and latency performance of multiple decoders for circuit-level simulations of color code memory experiments, bivariate-bicycle code memory experiments, surface code memory experiments, and surface code lattice surgery experiments.
description: V1: For artifact evaluation at IISWC 2025.

V2: Added more traces for evaluations, collate all files using the command: 

cat datasets.part* > datasets.tar.gz