cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10768743
title: MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling

description: We propose MatSci ML, a novel benchmark for modeling MATerials SCIence using Machine Learning methods focused on solid-state materials with periodic crystal structures. Applying machine learning methods to solid-state materials is a nascent field with substantial fragmentation largely driven by the great variety of datasets used to develop machine learning models. This fragmentation makes comparing the performance and generalizability of different methods difficult, thereby hindering overall research progress in the field. Building on top of open-source datasets, including large-scale datasets like the OpenCatalyst Project, OQMD, NOMAD, the Carolina Materials Database, and Materials Project, the MatSci ML benchmark provides a diverse set of materials systems and properties data for model training and evaluation, including simulated energies, atomic forces, material bandgaps, as well as classification data for crystal symmetries via space groups. The diversity of properties in MatSci ML makes the implementation and evaluation of multi-task learning algorithms for solid-state materials possible, while the diversity of datasets facilitates the development of new, more generalized algorithms and methods across multiple datasets. In the multi-dataset learning setting, MatSci ML enables researchers to combine observations from multiple datasets to perform joint prediction of common properties, such as energy and forces. Using MatSci ML, we evaluate the performance of different graph neural networks and equivariant point cloud networks on several benchmark tasks spanning single task, multitask, and multi-data learning scenarios. Our open-source code is available at https://github.com/IntelLabs/matsciml.
DOI: 10.5281/zenodo.8381475
title: MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling

description: We propose MatSci ML, a novel benchmark for modeling MATerials SCIence using Machine Learning methods focused on solid-state materials with periodic crystal structures. Applying machine learning methods to solid-state materials is a nascent field with substantial fragmentation largely driven by the great variety of datasets used to develop machine learning models. This fragmentation makes comparing the performance and generalizability of different methods difficult, thereby hindering overall research progress in the field. Building on top of open-source datasets, including large-scale datasets like the OpenCatalyst Project, OQMD, NOMAD, the Carolina Materials Database, and Materials Project, the MatSci ML benchmark provides a diverse set of materials systems and properties data for model training and evaluation, including simulated energies, atomic forces, material bandgaps, as well as classification data for crystal symmetries via space groups. The diversity of properties in MatSci ML makes the implementation and evaluation of multi-task learning algorithms for solid-state materials possible, while the diversity of datasets facilitates the development of new, more generalized algorithms and methods across multiple datasets. In the multi-dataset learning setting, MatSci ML enables researchers to combine observations from multiple datasets to perform joint prediction of common properties, such as energy and forces. Using MatSci ML, we evaluate the performance of different graph neural networks and equivariant point cloud networks on several benchmark tasks spanning single task, multitask, and multi-data learning scenarios. Our open-source code is available at https://github.com/IntelLabs/matsciml.
DOI: 10.5281/zenodo.8381476
title: MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling

description: We propose MatSci ML, a novel benchmark for modeling MATerials SCIence using Machine Learning (MatSci ML) methods focused on solid-state materials with periodic crystal structures. Applying machine learning methods to solid-state materials is a nascent field with substantial fragmentation largely driven by the great variety of datasets used to develop machine learning models. This fragmentation makes comparing the performance and generalizability of different methods difficult, thereby hindering overall research progress in the field. Building on top of open-source datasets, including large-scale datasets like the OpenCatalyst, OQMD, NOMAD, the Carolina Materials Database, and Materials Project, the MatSci ML benchmark provides a diverse set of materials systems and properties data for model training and evaluation, including simulated energies, atomic forces, material bandgaps, as well as classification data for crystal symmetries via space groups. The diversity of properties in MatSci ML makes the implementation and evaluation of multi-task learning algorithms for solid-state materials possible, while the diversity of datasets facilitates the development of new, more generalized algorithms and methods across multiple datasets. In the multi-dataset learning setting, MatSci ML enables researchers to combine observations from multiple datasets to perform joint prediction of common properties, such as energy and forces. Using MatSci ML, we evaluate the performance of different graph neural networks and equivariant point cloud networks on several benchmark tasks spanning single task, multitask, and multi-data learning scenarios. Our open-source code is available at https://github.com/IntelLabs/matsciml.
DOI: 10.48597/qb4g-e7qj
title: Measurement of Precipitation_amount at Råö

description: Measurement of Precipitation_amount at Råö
DOI: 10.48597/qg96-kwkd
title: Measurement of Copper at Vavihill

description: Measurement of Copper at Vavihill
DOI: 10.48597/qgfr-2kfp
title: Measurement of Chromium at Råö

description: Measurement of Chromium at Råö
DOI: 10.48597/qq98-x8xx
title: Measurement of Aerosol_absorption_coefficient at Jungfraujoch

description: Measurement of Aerosol_absorption_coefficient at Jungfraujoch
DOI: 10.48597/qukg-hhge
title: Measurement of Mercury at Vavihill

description: Measurement of Mercury at Vavihill
DOI: 10.48597/qvbj-2mha
title: Measurement of Aerosol_absorption_coefficient at Jungfraujoch

description: Measurement of Aerosol_absorption_coefficient at Jungfraujoch
DOI: 10.48597/rp4y-z96b
title: Measurement of Precipitation_amount at Vavihill

description: Measurement of Precipitation_amount at Vavihill
DOI: 10.48597/s9qm-h2w8
title: Measurement of Vanadium at Aspvreten

description: Measurement of Vanadium at Aspvreten
DOI: 10.48597/sd6j-nqej
title: Measurement of Precipitation_amount at Aspvreten

description: Measurement of Precipitation_amount at Aspvreten
DOI: 10.48597/sqc3-jx3g
title: Measurement of Nitrogen oxides at Puy de Dôme

description: Measurement of Nitrogen oxides at Puy de Dôme
DOI: 10.48597/st78-c9un
title: Measurement of Aerosol_absorption_coefficient at Jungfraujoch

description: Measurement of Aerosol_absorption_coefficient at Jungfraujoch
DOI: 10.48597/szhr-mfwz
title: Measurement of Ammonium at Abisko

description: Measurement of Ammonium at Abisko
DOI: 10.48597/ur53-pppd
title: Measurement of Copper at Råö

description: Measurement of Copper at Råö
DOI: 10.48597/vpf4-dg9c
title: Measurement of Lead at Råö

description: Measurement of Lead at Råö
DOI: 10.48597/vzux-y8rh
title: Measurement of Aerosol_absorption_coefficient at Jungfraujoch

description: Measurement of Aerosol_absorption_coefficient at Jungfraujoch
DOI: 10.48597/w49n-u2hf
title: Measurement of Lead at Aspvreten

description: Measurement of Lead at Aspvreten
DOI: 10.48597/w5kf-rbp8
title: Measurement of Arsenic at Vavihill

description: Measurement of Arsenic at Vavihill
DOI: 10.5281/zenodo.10605615
title: Replication Package for: ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks

description: This is the the replication package to our paper ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks, which introduces ShuffleBench, a novel benchmark to evaluate the performance of modern stream processing frameworks.

See the README.md file inside the shufflebench-replication.zip for documentation and usage instructions.
DOI: 10.5281/zenodo.10605616
title: Replication Package for: ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks

description: This is the the replication package to our paper ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks, which introduces ShuffleBench, a novel benchmark to evaluate the performance of modern stream processing frameworks.

See the README.md file inside the shufflebench-replication.zip for documentation and usage instructions.
DOI: 10.5281/zenodo.10667717
title: Replication Package for: ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks

description: This is the the replication package to our paper ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks, which introduces ShuffleBench, a novel benchmark to evaluate the performance of modern stream processing frameworks.

See the README.md file inside the shufflebench-replication.zip for documentation and usage instructions.
DOI: 10.5281/zenodo.10779181
title: Replication Package for: ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks

description: This is the the replication package to our paper ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks, which introduces ShuffleBench, a novel benchmark to evaluate the performance of modern stream processing frameworks.

See the README.md file inside the shufflebench-replication.zip for documentation and usage instructions.
DOI: 10.17909/bqf0-ds13
title: VV 191 JWST Data
DOI: 10.48597/wnuz-x3u9
title: Measurement of Nitrate at Esrange

description: Measurement of Nitrate at Esrange
DOI: 10.48597/wykd-e9xa
title: Measurement of Precipitation_amount at Pallas (Matorova)

description: Measurement of Precipitation_amount at Pallas (Matorova)
DOI: 10.48597/xc4q-uk8n
title: Measurement of Precipitation_amount at Råö

description: Measurement of Precipitation_amount at Råö
DOI: 10.48597/xjzy-um7y
title: Measurement of Ammonium at Rickleå

description: Measurement of Ammonium at Rickleå
DOI: 10.48597/xq4t-c8en
title: Measurement of Aerosol_absorption_coefficient at Jungfraujoch

description: Measurement of Aerosol_absorption_coefficient at Jungfraujoch
DOI: 10.48597/xwwm-agja
title: Measurement of pH at Esrange

description: Measurement of pH at Esrange
DOI: 10.48597/ybfk-n9kr
title: Measurement of Precipitation_amount at Esrange

description: Measurement of Precipitation_amount at Esrange
DOI: 10.48597/yjcc-xpk7
title: Measurement of Chloride at Esrange

description: Measurement of Chloride at Esrange
DOI: 10.48597/zbfs-2b9m
title: Measurement of Zinc at Aspvreten

description: Measurement of Zinc at Aspvreten
DOI: 10.48597/zq6y-rpn8
title: Measurement of Zinc at Vavihill

description: Measurement of Zinc at Vavihill
DOI: 10.48597/24d9-c9w5
title: Measurement of Ozone at Semenic

description: Measurement of Ozone at Semenic
DOI: 10.48597/29qz-n22w
title: Measurement of Cloud_condensation_nuclei_number_concentration at Jungfraujoch

description: Measurement of Cloud_condensation_nuclei_number_concentration at Jungfraujoch
DOI: 10.48597/38xc-aty2
title: Measurement of Aerosol_absorption_coefficient at K-puszta

description: Measurement of Aerosol_absorption_coefficient at K-puszta
DOI: 10.48597/4ps4-96j4
title: Measurement of Aerosol_absorption_coefficient at Granada

description: Measurement of Aerosol_absorption_coefficient at Granada
DOI: 10.48597/4zc4-7wbk
title: Measurement of Isoheptanes at Rigi

description: Measurement of Isoheptanes at Rigi
DOI: 10.48597/53fn-yp9k
title: Measurement of Aerosol_absorption_coefficient at Birkenes II

description: Measurement of Aerosol_absorption_coefficient at Birkenes II
DOI: 10.48597/5cb6-8cyv
title: Measurement of Particle_number_concentration at Puy de Dôme

description: Measurement of Particle_number_concentration at Puy de Dôme
DOI: 10.48597/5gu4-egqw
title: Measurement of Aerosol_absorption_coefficient at Birkenes II

description: Measurement of Aerosol_absorption_coefficient at Birkenes II
DOI: 10.5281/zenodo.10779193
title: testing zenodo

description: this is a simple test file - to be deleted
DOI: 10.5281/zenodo.10779194
title: testing zenodo

description: this is a simple test file - to be deleted
DOI: 10.48597/5pyx-7jcr
title: Measurement of VOC (hydrocarbons) at Peyrusse Vieille

description: Measurement of VOC (hydrocarbons) at Peyrusse Vieille
DOI: 10.48597/5sha-87gr
title: Measurement of Aerosol light scattering at Summit

description: Measurement of Aerosol light scattering at Summit
DOI: 10.48597/5yxq-jzdn
title: Measurement of Aerosol_absorption_coefficient at Jungfraujoch

description: Measurement of Aerosol_absorption_coefficient at Jungfraujoch
DOI: 10.48597/687q-3kg3
title: Measurement of Isoheptanes at Rigi

description: Measurement of Isoheptanes at Rigi
DOI: 10.48597/6rap-w63s
title: Measurement of Pm25_mass at Virolahti III

description: Measurement of Pm25_mass at Virolahti III
DOI: 10.48597/6rpb-j3ky
title: Measurement of Particle_number_concentration at Puy de Dôme

description: Measurement of Particle_number_concentration at Puy de Dôme
DOI: 10.48597/72kt-zy93
title: Measurement of Isoheptanes at Rigi

description: Measurement of Isoheptanes at Rigi
DOI: 10.48597/78xp-jxwq
title: Measurement of Particle_number_concentration at Puy de Dôme

description: Measurement of Particle_number_concentration at Puy de Dôme
DOI: 10.48597/7jny-xkvj
title: Measurement of Aerosol light scattering at Summit

description: Measurement of Aerosol light scattering at Summit
DOI: 10.48597/8gnu-gs9h
title: Measurement of Particle_number_concentration at Puy de Dôme

description: Measurement of Particle_number_concentration at Puy de Dôme
DOI: 10.48597/8hmz-qz7w
title: Measurement of Sulphur_dioxide at Virolahti III

description: Measurement of Sulphur_dioxide at Virolahti III
DOI: 10.48597/8unb-kw3b
title: Measurement of Heavy metals at Cabauw Wielsekade

description: Measurement of Heavy metals at Cabauw Wielsekade
DOI: 10.48597/92qp-4kzj
title: Measurement of Aerosol_absorption_coefficient and flow_rate at Puy de Dôme

description: Measurement of Aerosol_absorption_coefficient and flow_rate at Puy de Dôme
DOI: 10.48597/93f9-nnuq
title: Measurement of Aerosol_absorption_coefficient at K-puszta

description: Measurement of Aerosol_absorption_coefficient at K-puszta
DOI: 10.48597/97nq-ttua
title: Measurement of Particle_number_concentration at Puy de Dôme

description: Measurement of Particle_number_concentration at Puy de Dôme
DOI: 10.48597/9szr-s2nx
title: Measurement of Aerosol_absorption_coefficient at Birkenes II

description: Measurement of Aerosol_absorption_coefficient at Birkenes II
DOI: 10.48597/a4rz-n4ea
title: Measurement of Aerosol light scattering at Mt Cimone

description: Measurement of Aerosol light scattering at Mt Cimone
DOI: 10.48597/a8h7-ajte
title: Measurement of VOC (hydrocarbons) at Mt Cimone

description: Measurement of VOC (hydrocarbons) at Mt Cimone
DOI: 10.48597/acjh-zwpf
title: Measurement of Nitrogen_dioxide at Virolahti II

description: Measurement of Nitrogen_dioxide at Virolahti II
DOI: 10.48597/ag5z-rkts
title: Measurement of Aerosol_absorption_coefficient at K-puszta

description: Measurement of Aerosol_absorption_coefficient at K-puszta
DOI: 10.48597/agav-ggw4
title: Measurement of Particle_number_concentration at Hohenpeissenberg

description: Measurement of Particle_number_concentration at Hohenpeissenberg
DOI: 10.48597/at6k-csfc
title: Measurement of Aerosol_absorption_coefficient at Granada

description: Measurement of Aerosol_absorption_coefficient at Granada
DOI: 10.48597/b4uz-xc8a
title: Measurement of Isoheptanes at Rigi

description: Measurement of Isoheptanes at Rigi
DOI: 10.48597/b8zn-5ch9
title: Measurement of Aerosol light scattering at Montsec

description: Measurement of Aerosol light scattering at Montsec
DOI: 10.48597/bar3-ayhf
title: Measurement of Aerosol_absorption_coefficient at K-puszta

description: Measurement of Aerosol_absorption_coefficient at K-puszta
DOI: 10.48597/bbnq-h5td
title: Measurement of Aerosol light scattering at Summit

description: Measurement of Aerosol light scattering at Summit
DOI: 10.48597/bpz3-6gwp
title: Measurement of VOC (hydrocarbons) at Pallas (Sammaltunturi)

description: Measurement of VOC (hydrocarbons) at Pallas (Sammaltunturi)
DOI: 10.48597/bq5k-3236
title: Measurement of Aerosol_absorption_coefficient at Trollhaugen

description: Measurement of Aerosol_absorption_coefficient at Trollhaugen
DOI: 10.48597/bv43-j52t
title: Measurement of Aerosol light scattering at Granada

description: Measurement of Aerosol light scattering at Granada
DOI: 10.15468/dl.gs3qx3
title: Occurrence Download

description: A dataset listing the 71 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.54111 5.08924,-72.58746 5.00487,-72.60445 4.9155,-72.60344 4.80555,-72.51532 4.74807,-72.44309 4.74278,-72.38874 4.74079,-72.33511 4.74474,-72.30711 4.77412,-72.2912 4.78733,-72.27572 4.81776,-72.26247 4.84615,-72.35019 5.08003,-72.49197 5.11162,-72.51913 5.10895,-72.54111 5.08924))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amphibia, Squamata, Testudines)"
 ]
}

 The dataset's 71 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010635-251120083545085/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/13886389
title: News UAD
DOI: 10.15468/dl.jpmgq6
title: Occurrence Download

description: A dataset containing 5506 species occurrences available in GBIF matching the query:
{
 "RecordNumber" : [
 "is 1916"
 ]
}

 The dataset includes 5506 records from 653 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010651-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbwt3j
title: Occurrence Download

description: A dataset containing 49171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liolaemidae"
 ]
}

 The dataset includes 49171 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010652-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8v6gw
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abronia lythrochila"
 ]
}

 The dataset includes 145 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010653-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgjebk
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pterocarpus rotundifolius"
 ]
}

 The dataset includes 242 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010654-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pr6pa
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi"
 ]
}

 The dataset includes 478 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010655-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4fgzt
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Acalypha depauperata"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010656-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17728108
title: Post-Processed INTERPSONDE-ARM datasets for Manus-TWP site

description: This dataset comprises vertically interpolated atmospheric profiles collected at the ARM Tropical Western Pacific (TWP) Manus site from 2000 to 2014. It includes high-resolution measurements of pressure, temperature, and humidity derived from radiosonde and microwave radiometer observations, with all profiles processed to ensure consistent vertical interpolation and subsequently converted to hourly resolution. As part of the quality-control procedure, anomalous or erroneous temperature and humidity values were masked or corrected by comparing them with corresponding surface measurements or other available reference data. This long-term, quality-controlled dataset provides a reliable resource for examining tropical atmospheric processes, such as moist static energy variability, diurnal cycles, convection, and large-scale climate interactions affecting the Maritime Continent region and is well-suited for studies requiring continuous vertical structure information, model evaluation, and climate process analysis.
DOI: 10.5281/zenodo.17728109
title: Post-Processed INTERPSONDE-ARM datasets for Manus-TWP site

description: This dataset comprises vertically interpolated atmospheric profiles collected at the ARM Tropical Western Pacific (TWP) Manus site from 2000 to 2014. It includes high-resolution measurements of pressure, temperature, and humidity derived from radiosonde and microwave radiometer observations, with all profiles processed to ensure consistent vertical interpolation and subsequently converted to hourly resolution. As part of the quality-control procedure, anomalous or erroneous temperature and humidity values were masked or corrected by comparing them with corresponding surface measurements or other available reference data. This long-term, quality-controlled dataset provides a reliable resource for examining tropical atmospheric processes, such as moist static energy variability, diurnal cycles, convection, and large-scale climate interactions affecting the Maritime Continent region and is well-suited for studies requiring continuous vertical structure information, model evaluation, and climate process analysis.
DOI: 10.15468/dl.cqsykg
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abronia martindelcampoi"
 ]
}

 The dataset includes 38 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010657-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.