cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12924506
title: Metadata record for: Viral metagenomes of Lake Soyang, the largest freshwater lake in South Korea

description: This dataset contains key characteristics about the data described in the Data Descriptor Viral metagenomes of Lake Soyang, the largest freshwater lake in South Korea. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12924506.v1
title: Metadata record for: Viral metagenomes of Lake Soyang, the largest freshwater lake in South Korea

description: This dataset contains key characteristics about the data described in the Data Descriptor Viral metagenomes of Lake Soyang, the largest freshwater lake in South Korea. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5281/zenodo.4067946
title: SGS scalar transport - homogeneous isotropic turbulence

description: This dataset contains filtered data (spectral cut) from three DNS simulations (train, tests, decay) of 3-dimensional homogeneous isotropic turbulence in a \(512^3\) periodic domain. More precisely, the following fields are available: Filtered velocities Filtered transported (passive) scalar Divergence of the SGS term from the transport equation obtained from DNS SGS fluxes (in the three directions) from the transport equation obtained from DNS The scalar is forced on the high spectral wavenumbers, such that filtered data is not impacted in train and tests, while the scalar forcing is removed in the decay simulation. Note that all three simulations are forced on the velocities with an Alvelius-type scheme. The dataset also provide with three different filter sizes: 8, 16 and 32 times from the initial DNS resolution, which give domain sizes of \(64^3, 32^3, 16^3\) respectively. This dataset has been used to train NN models available : https://github.com/hrkz/SubgridTransportNN.
description: {"references": ["Frezat, Hugo et al. (2020). Physical invariance in neural networks for subgrid-scale scalar flux modeling (arXiv:2010.04663)"]}
DOI: 10.5281/zenodo.4067945
title: SGS scalar transport - homogeneous isotropic turbulence

description: This dataset contains filtered data (spectral cut) from three DNS simulations (train, tests, decay) of 3-dimensional homogeneous isotropic turbulence in a \(512^3\) periodic domain. More precisely, the following fields are available: Filtered velocities Filtered transported (passive) scalar Divergence of the SGS term from the transport equation obtained from DNS SGS fluxes (in the three directions) from the transport equation obtained from DNS The scalar is forced on the high spectral wavenumbers, such that filtered data is not impacted in train and tests, while the scalar forcing is removed in the decay simulation. Note that all three simulations are forced on the velocities with an Alvelius-type scheme. The dataset also provide with three different filter sizes: 8, 16 and 32 times from the initial DNS resolution, which give domain sizes of \(64^3, 32^3, 16^3\) respectively. This dataset has been used to train NN models available : https://github.com/hrkz/SubgridTransportNN.
description: {"references": ["Frezat, Hugo et al. (2020). Physical invariance in neural networks for subgrid-scale scalar flux modeling (arXiv:2010.04663)"]}
DOI: 10.6084/m9.figshare.12967916
title: Metadata record for: Manually curated and harmonised transcriptomics datasets of psoriasis and atopic dermatitis patients

description: This dataset contains key characteristics about the data described in the Data Descriptor Manually curated and harmonised transcriptomics datasets of psoriasis and atopic dermatitis patients. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12967916.v1
title: Metadata record for: Manually curated and harmonised transcriptomics datasets of psoriasis and atopic dermatitis patients

description: This dataset contains key characteristics about the data described in the Data Descriptor Manually curated and harmonised transcriptomics datasets of psoriasis and atopic dermatitis patients. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12987797
title: Metadata record for: Oral microbiota and dental caries data from monozygotic and dizygotic twin children

description: This dataset contains key characteristics about the data described in the Data Descriptor Oral microbiota and dental caries data from monozygotic and dizygotic twin children. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12987797.v1
title: Metadata record for: Oral microbiota and dental caries data from monozygotic and dizygotic twin children

description: This dataset contains key characteristics about the data described in the Data Descriptor Oral microbiota and dental caries data from monozygotic and dizygotic twin children. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12642761
title: Metadata record for: Whole genome sequencing data of multiple individuals of Pakistani descent

description: This dataset contains key characteristics about the data described in the Data Descriptor Whole genome sequencing data of multiple individuals of Pakistani descent. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12642761.v1
title: Metadata record for: Whole genome sequencing data of multiple individuals of Pakistani descent

description: This dataset contains key characteristics about the data described in the Data Descriptor Whole genome sequencing data of multiple individuals of Pakistani descent. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5281/zenodo.4080909
title: Raw data accompanying the manuscript "Super-resolution fluorescence microscopy by line-scanning with an unmodified two-photon microscope"

description: Raw data sets (.tif files) of data utilized to demonstrate 2D SIM with an unmodified multi photon intravital fluorescence microscope.
DOI: 10.5281/zenodo.4080908
title: Raw data accompanying the manuscript "Super-resolution fluorescence microscopy by line-scanning with an unmodified two-photon microscope"

description: Raw data sets (.tif files) of data utilized to demonstrate 2D SIM with an unmodified multi photon intravital fluorescence microscope.
DOI: 10.6084/m9.figshare.12998828
title: Metadata record for: A new comprehensive trait database of European and Maghreb butterflies, Papilionoidea

description: This dataset contains key characteristics about the data described in the Data Descriptor A new comprehensive trait database of European and Maghreb butterflies, Papilionoidea. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12998828.v1
title: Metadata record for: A new comprehensive trait database of European and Maghreb butterflies, Papilionoidea

description: This dataset contains key characteristics about the data described in the Data Descriptor A new comprehensive trait database of European and Maghreb butterflies, Papilionoidea. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5519/qd.9w4idnko
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/ddjk-3x80
title: Model2

description: predict month from next months
DOI: 10.5281/zenodo.4080911
title: ValLAI_Crop: Validation dataset for coarse-resolution satellite LAI product over Chinese Cropland

description: Numerous validation campaigns have been conducted over the last decade to assess the accuracy of the global leaf area index (LAI) products. Accurate and comprehensive validations for coarse-resolution LAI products are still very difficult due to lack of enough high-quality field measurements. Here we developed a fine resolution LAI dataset, consisting of 80 sample plots with an area of 3 × 3 km<sup>2</sup> in four major agricultural regions in China collected from 2003 to 2017. Instead of the indirect optical measurement method employed in most validation campaigns, the direct destructive method was employed to measure LAI of cropland for all the field experiments to avoid the measurement uncertainties, especially for crops at early growth stages with low height. Fine resolution reference LAI maps were derived from Landsat-5 TM and Landsat-8 OLI surface reflectance products based on the semi-empirical inversion model, which were calibrated using field measurements for each growth stage with an RMSE ranging from 0.19 to 1.00, and a relative root mean square error (RRMSE) ranging from 8.30% to 48.56%. Then, 80 sample plots with an area of 3 × 3 km<sup>2</sup> were selected as the fine resolution validation dataset from the fine resolution reference LAI maps with a proportion of cropland larger than 75% and one or more in-situ samples for each 3 × 3 km<sup>2</sup> plot.
DOI: 10.22024/unikent/01.01.130
title: Georgios Kyriakakis - Additional Material for PhD: Terpsichore: A Software Music Interface for People with Mental Disabilities on the Autism Spectrum

description: Includes Datasets in Microsoft Excel, IBM SPSS and NVivo.
DOI: 10.5281/zenodo.4080943
title: Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning: W+jet training/test dataset

description: W+jet events at generator and reconstruction level, used to train analysis-specific generative models. Events are represented as an array of relevant high-level features. Reco objects are matched to Gen objects and a minimal selection is applied to define the generator support in the N-dim space identified by the input features. About 2M events, used for training/validation/testing Details in https://arxiv.org/abs/2010.01835
DOI: 10.5281/zenodo.4080942
title: Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning: W+jet training/test dataset

description: W+jet events at generator and reconstruction level, used to train analysis-specific generative models. Events are represented as an array of relevant high-level features. Reco objects are matched to Gen objects and a minimal selection is applied to define the generator support in the N-dim space identified by the input features. About 2M events, used for training/validation/testing Details in https://arxiv.org/abs/2010.01835
DOI: 10.5281/zenodo.4081015
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.15475/dhz/kfn/1914/10/28
title: Kurier für Niederbayern: Landshuter Tag- und Anzeigenblatt; unabhängige Tageszeitung für Heimat und Volk

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1915/8/19
title: Kurier für Niederbayern: Landshuter Tag- und Anzeigenblatt; unabhängige Tageszeitung für Heimat und Volk

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.14457/stou.the.2013.300
title: การวิเคราะห์แนวโน้มและดัชนีฤดูกาลของยางพาราในภาคใต้ ภาคกลาง และภาคตะวันออกเฉียงเหนือของประเทศไทย
DOI: 10.25345/c51j3g
title: MassIVE MSV000086266 - GNPS Marine Sediment Derived - Actinobacteria_DSD042 and DSD017 metadata
title: metadata of marine sediment derived - actinobacteria
DOI: 10.5523/bris.1r4kwj2eu0tnq1yj9b9pdeb5bg
title: Temple et al 2020 Octopus pol vision

description: Supplementary material for submission to Frontiers in Physiology
DOI: 10.6084/m9.figshare.12768335.v4
title: HDR datasets (supplementary material associated to the J. Appl. Phycology paper)

description: HDR datasets of different diatoms captured with brightfield and darkfield illumination
DOI: 10.5519/qd.l4pqp6r4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (58 records)
DOI: 10.5523/bris.1zmu1n1easdru1zxp36ua8dnen
title: Data Store - Embedded Actuation for Shape-Adaptive Origami

description: The following is data associated with the Publication 'Embedded Actuation for Shape-Adaptive Origami' in the Journal of Mechanical Design.
DOI: 10.6084/m9.figshare.13078739
title: R code for analysis for Stroud et al. Extreme cold event and lizards. from An extreme cold event leads to community-wide convergence in lower temperature tolerance in a lizard community

description: R code for all analyses presented in this paper.
DOI: 10.6084/m9.figshare.13078745.v1
title: Raw data for Stroud et al. Extreme cold event and lizards from An extreme cold event leads to community-wide convergence in lower temperature tolerance in a lizard community

description: Raw thermal trait data for all species involved in this study.
DOI: 10.6084/m9.figshare.13078745
title: Raw data for Stroud et al. Extreme cold event and lizards from An extreme cold event leads to community-wide convergence in lower temperature tolerance in a lizard community

description: Raw thermal trait data for all species involved in this study.
DOI: 10.5517/ccdc.csd.cc1459p9
title: CCDC 1047790: Experimental Crystal Structure Determination

description: Related Article: Hui Qian, Song Sun, Wanxiang Zhao, Jianwei Sun|2020|Chem.Commun.|56|11295|doi:10.1039/D0CC05188H
DOI: 10.5517/ccdc.csd.cc225sbd
title: CCDC 1912183: Experimental Crystal Structure Determination

description: Related Article: Monalisa Bitencour, Olimpia Maria Martins Santos Viana, Andre Luiz Machado Viana, Jennifer Tavares Jacon Freitas, Cristiane Cabral de Mel, Antonio Carlos Doriguetto|2020|Int.J.Pharm.|589|119840|doi:10.1016/j.ijpharm.2020.119840
DOI: 10.5517/ccdc.csd.cc2279k6
title: CCDC 1913647: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal, Amit Das, Shobit Omar|2020|J.Phys.Chem.C|124|18901|doi:10.1021/acs.jpcc.0c05013
DOI: 10.5517/ccdc.csd.cc2279l7
title: CCDC 1913648: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal, Amit Das, Shobit Omar|2020|J.Phys.Chem.C|124|18901|doi:10.1021/acs.jpcc.0c05013
DOI: 10.5517/ccdc.csd.cc1zg51n
title: CCDC 1830861: Experimental Crystal Structure Determination

description: Related Article: Subramani Sathiyakumar, Pitchai Selvam, Jayaraman Radhika, Sudhadevi Antharjanam, Faruck Lukmanul Hakkim, Krishnan Srinivasan, Thathan Premkumar|2020|J.Phys.Chem.Solids|148|109730|doi:10.1016/j.jpcs.2020.109730
DOI: 10.5517/ccdc.csd.cc22bgc8
title: CCDC 1916679: Experimental Crystal Structure Determination

description: Related Article: Marc Courté, Jun Ye, Hui Jiang, Rakesh Ganguly, Shasha Tang, Christian Kloc, Denis Fichou|2020|Phys.Chem.Chem.Phys.(PCCP)|22|19855|doi:10.1039/D0CP03109G
DOI: 10.5517/ccdc.csd.cc22bgd9
title: CCDC 1916680: Experimental Crystal Structure Determination

description: Related Article: Marc Courté, Jun Ye, Hui Jiang, Rakesh Ganguly, Shasha Tang, Christian Kloc, Denis Fichou|2020|Phys.Chem.Chem.Phys.(PCCP)|22|19855|doi:10.1039/D0CP03109G
DOI: 10.5517/ccdc.csd.cc22bgfb
title: CCDC 1916681: Experimental Crystal Structure Determination

description: Related Article: Marc Courté, Jun Ye, Hui Jiang, Rakesh Ganguly, Shasha Tang, Christian Kloc, Denis Fichou|2020|Phys.Chem.Chem.Phys.(PCCP)|22|19855|doi:10.1039/D0CP03109G
DOI: 10.5517/ccdc.csd.cc22bggc
title: CCDC 1916682: Experimental Crystal Structure Determination

description: Related Article: Marc Courté, Jun Ye, Hui Jiang, Rakesh Ganguly, Shasha Tang, Christian Kloc, Denis Fichou|2020|Phys.Chem.Chem.Phys.(PCCP)|22|19855|doi:10.1039/D0CP03109G
DOI: 10.18462/iir.iccc.2020.285361
title: Trans-critical carbon dioxide and ammonia: energy efficiency and basic capital cost comparison for industrial refrigeration systems.
DOI: 10.15129/105e55c3-1444-4e44-8cd4-c146347e755e
title: Data for: "Manufacturing of anti-fogging Super-hydrophilic Microstructures on Glass by Nanosecond Laser"

description: The dataset contains numerical data to illustrate variation of surface roughness Ra value of glass processed by a nanosecond pulsed fibre laser which has a central emission wavelength of 1064 nm under different cutting feed rates and laser focus distances at two sets of laser power and frequency. The data can be read by using normal Words software.
DOI: 10.15161/oar.it/73177
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.15468/dl.zk2xbd
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((28.87151 -31.45825,33.43334 -31.45825,33.43334 -26.59891,28.87151 -26.59891,28.87151 -31.45825))",
 "TaxonKey is Crinum moorei Hook.f."
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102509-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ajq8c
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Trimium minimum Dodero, 1900",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102510-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3s6vk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lithobius cerii Verhoeff, 1943",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102511-240626123714530/datasets/export for details.
DOI: 10.15468/dl.q29gsj
title: Occurrence Download

description: A dataset containing 600 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Entelecara acuminata (Wider, 1834)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 600 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102512-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7624062
title: Automatic 3D CAD models reconstruction from 2D orthographic drawings

description: This dataset is built to reconstruct 3D CAD models from 2D drawings and is based on the public dataset Fusion 360 gallery. The dataset includes two parts that are the original data and the reconstructed data (in folders '/original_data" and  '/reconstructed'). The part of the original data contains the '.svg' files of  2D drawings and the '.step' files of CAD models. Our reconstruction results are shown in the second part (folder '/reconstructed'), which includes the reconstructed 3D wireframes, 3D shapes with faces (storage in FreeCAD files '.FCStd'), and the images of reconstructed models (screenshot). We also test some cases from the ABC dataset, shown in the 2_ABC folder.


Please cite our paper if you use the dataset.


@article{zhang2023automatic,
  title={Automatic 3D CAD models reconstruction from 2D orthographic drawings},
  author={Zhang, Chao and Pinqui{\'e}, Romain and Polette, Arnaud and Carasi, Gregorio and De Charnace, Henri and Pernot, Jean-Philippe},
  journal={Computers \& Graphics},
  year={2023},
  publisher={Elsevier}
}
DOI: 10.5281/zenodo.7624063
title: 3D CAD models reconstruction from 2D drawings

description: This dataset is built to reconstruct 3D CAD models from 2D drawings and is based on the public dataset Fusion 360 gallery. The dataset includes two parts that are the original data and the reconstructed data (in folders '/original_data" and  '/reconstructed'). The part of the original data contains the '.svg' files of  2D drawings and the '.step' files of CAD models. Our reconstruction results are shown in the second part (folder '/reconstructed'), which includes the reconstructed 3D wireframes, 3D shapes with faces (storage in FreeCAD files '.FCStd'), and the images of reconstructed models (screenshot).
DOI: 10.5281/zenodo.7785223
title: Automatic 3D CAD models reconstruction from 2D orthographic drawings

description: This dataset is built to reconstruct 3D CAD models from 2D drawings and is based on the public dataset Fusion 360 gallery. The dataset includes two parts that are the original data and the reconstructed data (in folders '/original_data" and '/reconstructed'). The part of the original data contains the '.svg' files of 2D drawings and the '.step' files of CAD models. Our reconstruction results are shown in the second part (folder '/reconstructed'), which includes the reconstructed 3D wireframes, 3D shapes with faces (storage in FreeCAD files '.FCStd'), and the images of reconstructed models (screenshot). We also test some cases from the ABC dataset, shown in the 2_ABC folder. Please cite our paper if you use the dataset. <pre>@article{zhang2023automatic, title={Automatic 3D CAD models reconstruction from 2D orthographic drawings}, author={Zhang, Chao and Pinqui{\'e}, Romain and Polette, Arnaud and Carasi, Gregorio and De Charnace, Henri and Pernot, Jean-Philippe}, journal={Computers \& Graphics}, year={2023}, publisher={Elsevier} }</pre>