cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31112554
title: Graph neural network dataset and training logs for the publication "Broken neural scaling laws in materials science"

description: This repository contains a ready-to-use machine learning dataset and training logs associated with the publication "Broken neural scaling laws in materials science".The code implementing the graph neural network models and the training workflow using this dataset is available at: https://github.com/MaxGrossmann/optimetalThe data are provided in the form of compressed archives that are organized as follows.<b>Dataset archive:</b>The archive "dataset.zip" contains the following three HDF5 files: "train.h5", "val.h5", and "test.h5". These files store the training, validation, and test splits used for the reported models. Details on the data format and parsing are provided in the associated code repository (see above). The underlying raw dataset was generated using a high-throughput, ab initio workflow and is distributed across two repositories due to its size: https://doi.org/10.6084/m9.figshare.31111798 and https://doi.org/10.6084/m9.figshare.31112491.<b>Graph archive:</b>The archive "graph.zip" contains three corresponding PyTorch files: "train.pt", "val.pt", and "test.pt". These files store the corresponding graph representations used as input to the graph neural networks, including node features, edge (two-body) indices, and angle (three-body) indices. Parsing and usage of these files are documented in the associated code repository (see above).<b>Training logs archive:</b>The archive "training_logs.zip" contains directories corresponding to specific groups of training runs, including:"Scaling_Base", containing training runs used to extract one-dimensional neural scaling laws,"Ablation", containing training runs used for architecture optimization and ablation studies,and more ...Within each directory, the subdirectories are named according to the model configuration, random seed, and (where applicable) additional hyperparameters. These subdirectories contain TensorBoard log files, job submission scripts (LSF files), and other outputs produced during training.Together, this data enables reproduction of the entire training, evaluation, and scaling-law analysis process of the reported model.
DOI: 10.6084/m9.figshare.31112554.v1
title: Graph neural network dataset and training logs for the publication "Broken neural scaling laws in materials science"

description: This repository contains a ready-to-use machine learning dataset and training logs associated with the publication "Broken neural scaling laws in materials science".The code implementing the graph neural network models and the training workflow using this dataset is available at: https://github.com/MaxGrossmann/optimetalThe data are provided in the form of compressed archives that are organized as follows.<b>Dataset archive:</b>The archive "dataset.zip" contains the following three HDF5 files: "train.h5", "val.h5", and "test.h5". These files store the training, validation, and test splits used for the reported models. Details on the data format and parsing are provided in the associated code repository (see above). The underlying raw dataset was generated using a high-throughput, ab initio workflow and is distributed across two repositories due to its size: https://doi.org/10.6084/m9.figshare.31111798 and https://doi.org/10.6084/m9.figshare.31112491.<b>Graph archive:</b>The archive "graph.zip" contains three corresponding PyTorch files: "train.pt", "val.pt", and "test.pt". These files store the corresponding graph representations used as input to the graph neural networks, including node features, edge (two-body) indices, and angle (three-body) indices. Parsing and usage of these files are documented in the associated code repository (see above).<b>Training logs archive:</b>The archive "training_logs.zip" contains directories corresponding to specific groups of training runs, including:"Scaling_Base", containing training runs used to extract one-dimensional neural scaling laws,"Ablation", containing training runs used for architecture optimization and ablation studies,and more ...Within each directory, the subdirectories are named according to the model configuration, random seed, and (where applicable) additional hyperparameters. These subdirectories contain TensorBoard log files, job submission scripts (LSF files), and other outputs produced during training.Together, this data enables reproduction of the entire training, evaluation, and scaling-law analysis process of the reported model.
DOI: 10.34740/kaggle/dsv/14570813
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.z4xewn
title: Occurrence Download

description: A dataset containing 3316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalaria lanceolata"
 ]
}

 The dataset includes 3316 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002513-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18327135
title: PYVOA - GEO 6

description: Blabla
DOI: 10.5281/zenodo.18327136
title: PYVOA - GEO 6

description: Blabla
DOI: 10.5281/zenodo.18326792
title: Modelling of phytoplankton-zooplankton dynamics under environmental change in a temperate dimictic reservoir [Data Set]
DOI: 10.5281/zenodo.18326793
title: Modelling of phytoplankton-zooplankton dynamics under environmental change in a temperate dimictic reservoir [Data Set]
DOI: 10.15468/dl.4d7cut
title: Occurrence Download

description: A dataset containing 256824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Peramelemorphia"
 ]
}

 The dataset includes 256824 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002484-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hm8kqu
title: Occurrence Download

description: A dataset containing 730 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.693 4.531159, -73.763481 4.525589, -73.832224 4.509017, -73.897533 4.48185, -73.957798 4.44476, -74.011533 4.39866, -74.05741500000001 4.344689, -74.09431499999999 4.284175, -74.12132699999999 4.21861, -74.13778600000001 4.14961, -74.143291 4.078874, -74.137708 4.008144, -74.121179 3.939161, -74.094112 3.873624, -74.057176 3.813144, -74.011281 3.759211, -73.95755800000001 3.713149, -73.897329 3.676094, -73.832076 3.648955, -73.76340399999999 3.6324, -73.693 3.626836, -73.622596 3.6324, -73.55392399999999 3.648955, -73.488671 3.676094, -73.428442 3.713149, -73.374719 3.759211, -73.328824 3.813144, -73.291888 3.873624, -73.264821 3.939161, -73.24829200000001 4.008144, -73.242709 4.078874, -73.248214 4.14961, -73.264673 4.21861, -73.291685 4.284175, -73.328585 4.344689, -73.374467 4.39866, -73.428202 4.44476, -73.488467 4.48185, -73.553776 4.509017, -73.622519 4.525589, -73.693 4.531159))"},{"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 730 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002515-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43c8br
title: Occurrence Download

description: A dataset containing 2133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pholidota"
 ]
}

 The dataset includes 2133 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002516-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18323712
title: Datasets for: Asteroidal bombardments around 4.2 Ga indicated from U–Pb chronology of eucrite-melt breccias

description: This repository contains  datasets supporting the U–Pb chronology of eucrite-melt breccias. This includes Table 1 and Supplementary tables presented in the paper by Koike et al. (submitted to GCA), as well as the raw data for Raman spectra (Supplementary Fig. S6), the U and Pb ion counting ratios obtained by repeated measurements of the standard apatite (PRAP) (Supplementary Fig. S7), and the calculated closure temperatures for the U–Pb systems in different minerals (Supplementary Fig. S13).
DOI: 10.5281/zenodo.18323713
title: Datasets for: Asteroidal bombardments around 4.2 Ga indicated from U–Pb chronology of eucrite-melt breccias

description: This repository contains  datasets supporting the U–Pb chronology of eucrite-melt breccias. This includes Table 1 and Supplementary tables presented in the paper by Koike et al. (submitted to GCA), as well as the raw data for Raman spectra (Supplementary Fig. S6), the U and Pb ion counting ratios obtained by repeated measurements of the standard apatite (PRAP) (Supplementary Fig. S7), and the calculated closure temperatures for the U–Pb systems in different minerals (Supplementary Fig. S13).
DOI: 10.15468/dl.buusgu
title: Occurrence Download

description: A dataset containing 1028628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorbus aucuparia",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 1028628 records from 1231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002488-260120142942310/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.28850903
title: AIDA Corpus Dataset

description: fghhfdgdfgddfg
DOI: 10.6084/m9.figshare.28850903.v1
title: AIDA Corpus Dataset

description: fghhfdgdfgddfg
DOI: 10.15468/dl.uz6c7h
title: Occurrence Download

description: A dataset containing 348588 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Larix Mill."
 ]
}

 The dataset includes 348588 records from 1286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001039-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15543768
title: origin_data
DOI: 10.5281/zenodo.15543769
title: origin_data
DOI: 10.15468/dl.fbpkeq
title: Occurrence Download

description: A dataset containing 5618360 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natural History Museum (London) Collection Specimens"
 ]
}

 The dataset includes 5618360 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006608-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qzwer
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lysimachia arvensis",
 "Country is Kyrgyzstan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024531-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2eyue7
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lysimachia arvensis",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024533-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/pvnezv
title: Replication Data for: The Intergenerational Effects of Early-Life Pollution Exposure

description: This is the replication package for "The Intergenerational Effects of Early-Life Pollution Exposure," accepted in 2025 by the Journal of Political Economy Microeconomics.
DOI: 10.5281/zenodo.15547264
title: DatasetCsv_MLiA-CLAM

description: Dataset csv dataset
DOI: 10.5281/zenodo.15547265
title: DatasetCsv_MLiA-CLAM

description: Dataset csv dataset
DOI: 10.5281/zenodo.14796699
title: Targeted deletions in human mitochondrial DNA engineered by Type V CRISPR-Cas12a system

description: Mutations in mitochondrial DNA (mtDNA) contribute to various neuromuscular diseases, with severity depending on heteroplasmy level when mutant and wild-type mtDNA coexist within the same cell. Developing methods to model mtDNA dysfunction is crucial for experimental therapies. Here, we adapted the Type V CRISPR-AsCas12a system, which recognizes AT-rich PAM sequences, for targeted editing of human mtDNA. We demonstrated that mitochondrial targeting sequence (MTS) from Neurospora crassa ATPase subunit 9 efficiently addressed the AsCas12a effector nuclease into human mitochondria. When programmed with two CRISPR RNAs (crRNAs) targeting distant regions of mtDNA, the mito-AsCas12a can cleave mtDNA, enabling generation of deletions in cultured human cells. Next Generation Sequencing of the deletions boundaries confirmed mtDNA ligation after the cleavage by the mitoCRISPR-AsCas12a system. Therefore, we provide experimental data proving that a CRISPR system has potential to be used for precise mtDNA manipulation, offering a promising tool for generating predefined deletions in mtDNA and creating cellular models of mitochondrial disorders.
DOI: 10.5281/zenodo.14796698
title: Targeted deletions in human mitochondrial DNA engineered by Type V CRISPR-Cas12a system

description: Mutations in mitochondrial DNA (mtDNA) contribute to various neuromuscular diseases, with severity depending on heteroplasmy level when mutant and wild-type mtDNA coexist within the same cell. Developing methods to model mtDNA dysfunction is crucial for experimental therapies. Here, we adapted the Type V CRISPR-AsCas12a system, which recognizes AT-rich PAM sequences, for targeted editing of human mtDNA. We demonstrated that mitochondrial targeting sequence (MTS) from Neurospora crassa ATPase subunit 9 efficiently addressed the AsCas12a effector nuclease into human mitochondria. When programmed with two CRISPR RNAs (crRNAs) targeting distant regions of mtDNA, the mito-AsCas12a can cleave mtDNA, enabling generation of deletions in cultured human cells. Next Generation Sequencing of the deletions boundaries confirmed mtDNA ligation after the cleavage by the mitoCRISPR-AsCas12a system. Therefore, we provide experimental data proving that a CRISPR system has potential to be used for precise mtDNA manipulation, offering a promising tool for generating predefined deletions in mtDNA and creating cellular models of mitochondrial disorders.
DOI: 10.5281/zenodo.15471380
title: Targeted deletions in human mitochondrial DNA engineered by Type V CRISPR-Cas12a system

description: Mutations in mitochondrial DNA (mtDNA) contribute to various neuromuscular diseases, with severity depending on heteroplasmy level when mutant and wild-type mtDNA coexist within the same cell. Developing methods to model mtDNA dysfunction is crucial for experimental therapies. Here, we adapted the Type V CRISPR-AsCas12a system, which recognizes AT-rich PAM sequences, for targeted editing of human mtDNA. We demonstrated that mitochondrial targeting sequence (MTS) from Neurospora crassa ATPase subunit 9 efficiently addressed the AsCas12a effector nuclease into human mitochondria. When programmed with two CRISPR RNAs (crRNAs) targeting distant regions of mtDNA, the mito-AsCas12a can cleave mtDNA, enabling generation of deletions in cultured human cells. Next Generation Sequencing of the deletions boundaries confirmed mtDNA ligation after the cleavage by the mitoCRISPR-AsCas12a system. Therefore, we provide experimental data proving that a CRISPR system has potential to be used for precise mtDNA manipulation, offering a promising tool for generating predefined deletions in mtDNA and creating cellular models of mitochondrial disorders.
DOI: 10.15468/dl.tzafpr
title: Occurrence Download

description: A dataset containing 3546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Indonesia, Papua New Guinea, Malaysia)",
 "Geometry POLYGON((94.58382 5.94064,94.423 4.06236,95.33432 2.13542,97.37139 -0.91034,99.24763 -3.64188,101.65995 -5.88545,104.28669 -7.74835,109.05771 -8.8093,111.47002 -8.96819,114.52562 -9.70873,118.27811 -10.60576,123.74602 -11.23739,125.51505 -10.55306,128.78507 -9.49731,131.73346 -8.91523,133.07363 -8.33222,135.27152 -9.60304,141.11468 -10.02562,141.11468 -8.12,141.16828 -6.0454,141.06107 -4.06977,141.06107 -2.08927,139.07761 -0.96394,136.45087 0.26897,130.92935 0.75141,130.44689 2.09114,129.16032 3.05508,125.78308 2.68031,123.90684 1.55534,121.2801 2.14471,119.88632 2.51965,119.99353 3.64375,120.04714 5.0869,119.18943 6.26046,117.68843 7.43138,116.24104 7.05913,114.3648 5.67398,113.56069 4.23203,110.66592 3.37622,108.95049 2.51965,108.36082 0.75141,105.51965 0.10815,102.46405 1.44817,100.10534 3.48324,98.9796 5.1403,96.29925 6.26045,94.58382 5.94064))",
 "HasGeospatialIssue is false",
 "TaxonKey is Bulbophyllum"
 ]
}

 The dataset includes 3546 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003226-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apj6hh
title: Occurrence Download

description: A dataset containing 5623675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 5623675 records from 5352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003212-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qdxby
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Thamnophis cyrtopsis ocellatus (Cope, 1880))"
 ]
}

 The dataset includes 347 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003872-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qqdzt
title: Occurrence Download

description: A dataset containing 1306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamna nasus (Bonnaterre, 1788)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1306 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003867-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uu3q33
title: Occurrence Download

description: A dataset containing 3125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fagus crenata Blume",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3125 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003871-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-cx62-ve21
title: Illustrative example of a hypothetical bridge network subjected to an earthquake hazard
title: in IN-CORE on DesignSafe

description: The simulation uses a set of hypothetical bridges located in the Memphis Metropolitan Statistical Area (MMSA). These are exposed to a low-resolution hypothetical earthquake scenario for illustrative purposes.
description: This project presents an example application of IN-CORE Python libraries (pyincore and pyincore-viz) on DesignSafe. A Jupyter notebook and the required input datasets (hazard maps and shapefiles) are shared in this project to illustrate the use of pyincore within DesignSafe. The goal of this use case is not to focus on the scientific capabilities of the platforms but to show how to launch IN-CORE with DesignSafe resources. The required steps for installing IN-CORE libraries are thoroughly presented in the Jupyter notebook ('main.ipynb'). Then, the computational capabilities within the DesignSafe Cyberinfrastructure are leveraged to enhance the regional-scale assessment tools within IN-CORE. The use case focuses on the risk analysis of a regional-scale portfolio of bridges exposed to seismic events. Seamless communication of intermediate and final results from IN-CORE Python packages with different DesignSafe tools is demonstrated throughout the use case. Future researchers may want to reuse and adapt this notebook for launching IN-CORE on DesignSafe for different purposes: 1) taking advantage of the HPC resources of DesignSafe especially for Monte Carlo analysis or optimization problems germane to IN-CORE and its community resilience problems; 2) integrating the data and models within IN-CORE with others available on DesignSafe, either in published projects or via other tools like SimCenter tools; 3) streamlining the curation and publication of simulation projects that utilize IN-CORE within DesignSafe. (NOTE: IN-CORE, the Interdependent Networked Community Resilience Modeling Environment, is an opensource modeling environment developed by the Center of Excellence for Risk-Based Community Resilience Planning)
DOI: 10.17603/ds2-jpwh-nq72
title: Centrifuge Testing on Kaolinite Clay - Test UCLA JZB02
title: in Soil-Foundation-Structure Interaction Effects on the Cyclic Failure Potential of Silts and Clays

description: This experiment tested three structures resting on fine-grained soil consisting of non-plastic silt blended with kaolinite, layered with sand lenses. A sequence of earthquake ground motions was applied to the model container. Measurements included acceleration, displacement, pore pressure, bending strain, and axial strain.
description: Earthquake-induced ground failure has resulted in billions of dollars of damage during recent earthquakes. Soils can be broadly characterized as exhibiting either "sand-like" or "clay-like" behavior with respect to strength loss during earthquakes. This project focuses on cyclic failure of "clay-like" soils, which are less well understood than "sand-like" soils. Cyclic failure of fine-grained soils are often constrained to the regions beneath structures, and not in the free-field soils away from the structures, indicating that soil-foundation-structure interaction plays an important role. This project utilizes centrifuge model testing to study cyclic failure of fine-grained soils beneath structures. This research has produced publicly accessible datasets containing all of the experimental measurements and metadata required for users to make sense of the data.