cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8106334
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karl Hellner, http://www.wikidata.org/entity/Q106515396. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q106515396
DOI: 10.5281/zenodo.8106333
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karl Hellner, http://www.wikidata.org/entity/Q106515396. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q106515396
DOI: 10.6084/m9.figshare.22986668
title: Landscape of semi-extractable RNAs across five human cell lines

description: <strong>Supplementary Data S2. Full list of semi-extractable (SE) RNAs and extractable (EX) RNAs.</strong>
DOI: 10.6084/m9.figshare.22986068
title: Landscape of semi-extractable RNAs across five human cell lines

description: <strong>Supplementary Data S3.</strong> Differential gene expression analysis across cell lines and stress conditions.
DOI: 10.5281/zenodo.8106339
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Rudolph Friedrich Hohenacker, http://www.wikidata.org/entity/Q4140972. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4140972
DOI: 10.5281/zenodo.8106352
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ivar Jørstad, http://www.wikidata.org/entity/Q11977695. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11977695
DOI: 10.5281/zenodo.8106351
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ivar Jørstad, http://www.wikidata.org/entity/Q11977695. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11977695
DOI: 10.5281/zenodo.8106354
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Finn Asbjørn Jørstad, http://www.wikidata.org/entity/Q110391532. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q110391532
DOI: 10.5281/zenodo.8106353
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Finn Asbjørn Jørstad, http://www.wikidata.org/entity/Q110391532. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q110391532
DOI: 10.5281/zenodo.8106356
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ellsworth Paine Killip, http://www.wikidata.org/entity/Q49426. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q49426
DOI: 10.5281/zenodo.8106355
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ellsworth Paine Killip, http://www.wikidata.org/entity/Q49426. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q49426
DOI: 10.5281/zenodo.8106366
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jens Zetlitz Magnus, http://www.wikidata.org/entity/Q107644057. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107644057
DOI: 10.5281/zenodo.8106365
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jens Zetlitz Magnus, http://www.wikidata.org/entity/Q107644057. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107644057
DOI: 10.5281/zenodo.8106368
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gustaf Oskar Andersson Malme, http://www.wikidata.org/entity/Q429017. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q429017
DOI: 10.5281/zenodo.8106376
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Józef Motyka, http://www.wikidata.org/entity/Q17199091. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q17199091
DOI: 10.5281/zenodo.8106375
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Józef Motyka, http://www.wikidata.org/entity/Q17199091. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q17199091
DOI: 10.5281/zenodo.8106382
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Odd Norang, http://www.wikidata.org/entity/Q110158737. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q110158737
DOI: 10.5281/zenodo.8106381
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Odd Norang, http://www.wikidata.org/entity/Q110158737. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q110158737
DOI: 10.5281/zenodo.8106386
title: blastophysa_rhizopus_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8106385
title: blastophysa_rhizopus_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8106390
title: aegina_citrea_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8106389
title: aegina_citrea_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8106398
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Frederik Schübeler, http://www.wikidata.org/entity/Q5499313. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5499313
DOI: 10.5281/zenodo.8106397
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Frederik Schübeler, http://www.wikidata.org/entity/Q5499313. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5499313
DOI: 10.5517/ccdc.csd.cc2d1ghf
title: CCDC 2205944: Experimental Crystal Structure Determination

description: Related Article: Bel Youssouf G. Mountessou, Alain W. Ngouonpe, Alexis Sylvain W. Mbobda, Eric O. Akintemi, Hans-Georg Stammler, Simeon F. Kouam, Jean Claude Tchouankeu, Bruno N. Lenta, Norbert Sewald, Thishana Singh, Ibrahim N. Mbouombouo|2023|J.Mol.Struct.|1291|136003|doi:10.1016/j.molstruc.2023.136003
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: 10.5281/zenodo.8106408
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alois Teyber, http://www.wikidata.org/entity/Q21610508. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21610508
DOI: 10.5281/zenodo.8106407
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alois Teyber, http://www.wikidata.org/entity/Q21610508. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21610508
DOI: 10.5281/zenodo.8106410
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Finn Christian Sørlye, http://www.wikidata.org/entity/Q101085920. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101085920
DOI: 10.5281/zenodo.8106409
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Finn Christian Sørlye, http://www.wikidata.org/entity/Q101085920. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101085920
DOI: 10.5281/zenodo.8106412
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sig Thor, http://www.wikidata.org/entity/Q17120485. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q17120485
DOI: 10.5281/zenodo.8106411
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sig Thor, http://www.wikidata.org/entity/Q17120485. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q17120485
DOI: 10.5281/zenodo.8106418
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Nils Wulfsberg, http://www.wikidata.org/entity/Q16650632. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q16650632
DOI: 10.5281/zenodo.8106417
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Nils Wulfsberg, http://www.wikidata.org/entity/Q16650632. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q16650632
DOI: 10.21227/0vbb-zz11
title: Rocket Launching Facilities in Bharat

description: India is a sub-continent that stretches from Ladakh inthe North to Kanyakumari in the South and fromGujrat in the West to Arunachal Pradesh, Nagalandand Manipur in the East. India is currently theseventh largest country by land covering an area ofapproximately 32,87,263 kms. India's Space Strengths:India is the fourth country in the world to havedestroyed a satellite of its own. India built therecord-breaking space capability of launching 104satellites on a single Polar Satellite Launch Vehicle(PSL) in sriharikota, Andhra Pradesh in the year2017 through Indian Space Research Organization(ISRO). Through SROs Mangalyaan mission Indiabecame the only country in the world to havereached Mars in its first attempt. The Vast Coastline:All such space capabilities and power of India isaccomplished through its vast coastline. India has agross (mainland and island) coastline ofapproximately 7500 kms. which benefits it forlaunching rockets into the space. India has threelaunching facilities as below. Rocket Launching Facilities : «Dr. Abdul Kalam Island in the Bhadrak district ofIndian state of Odisha - Satish Dhawan Space Centre (Sriharikota) in theIndian state of Andhra Pradesh - Vikram Sarabhai Space Centre, Thiruvananthpuram(Thumba) in the Indian state of Kerala.
DOI: 10.6084/m9.figshare.23615409
title: gene raw read count files for each sample

description: Gene raw read count for each sample.
DOI: 10.6084/m9.figshare.23615409.v1
title: gene raw read count files for each sample

description: Gene raw read count for each sample.
DOI: 10.6084/m9.figshare.23615265
title: Selected proteins affected in Cu or Cd excess conditions in Rubrivivax gelatinosus.xlsx

description: Selected proteins whose abundances were affected in Cu or Cd excess growth conditions in the purple photosynthetic bacterium Rubrivivax gelatinosus. <br> <strong>Discriminating Susceptibility of Xanthine Oxidoreductase Family to Metals</strong>
DOI: 10.6084/m9.figshare.23615265.v2
title: Selected proteins affected in Cu or Cd excess conditions in Rubrivivax gelatinosus.xlsx

description: Selected proteins whose abundances were affected in Cu or Cd excess growth conditions in the purple photosynthetic bacterium Rubrivivax gelatinosus. <br> <strong>Discriminating Susceptibility of Xanthine Oxidoreductase Family to Metals</strong>
DOI: 10.6084/m9.figshare.23615265.v1
title: Selected proteins affected in Cu or Cd excess conditions in Rubrivivax gelatinosus.xlsx

description: Selected proteins whose abundances were affected in Cu or Cd excess growth conditions in the purple photosynthetic bacterium Rubrivivax gelatinosus. <br> <strong>Discriminating Susceptibility of Xanthine Oxidoreductase Family to Metals</strong>
DOI: 10.6084/m9.figshare.3761562.v2634
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.21227/bbfv-gw20
title: Basic Public Amenities in the Gorakhpur District of Uttar Pradesh

description: Gorakhpur is a city located in the north-eastern region ofUttar Pradesh state of India. It is a sub-part of Purvanchalregion of Uttar Pradesh and Bihar. In the south-westernpart, Gorakhpur periphery spreads along Rapti river. Inthe north-western region, Gorakhpur shares its peripherywith Chillua Tal. In the southern part, Ramgarh Tal with aperimeter of 18 km is located. Water Bodies: + Ramgarh Tal is a historically important heritage site andis also a tourist attraction; spread over 700 hectares ofarea. + Chillua Tal is a wetland located in the north-westernpart of Gorakhpur. Currently, It is undergoingbeautification work. * Rapti River falls under Gange River system thatoriginates from Nepal and debouches into Ghagarariver. + Sumer Sagar is another wetland in Gorakhpur. Railway and Bus SerGorakhpur city railway station and GorakhpurCantonment railway station are the two public railtransport amenities in Gorakhpur while Kachari bus standand Roadways bus stand are the two road transportamenities. ort:In the eastern part of Gorakhpur, Airforce station islocated which is being used as a civil enclave for public airtransportation. Additional Amenities:Police stations, parks, gardens, and hospitals areadditional features shown on the map.
DOI: 10.5281/zenodo.8026538
title: QLKNN7D-edge training set

description: <strong>QLKNN7D-edge training set</strong> This dataset contains a large-scale run of ~15 million flux calculations of the quasilinear gyrokinetic transport model QuaLiKiz. The dataset is in a parameter regime typical of the L-mode near edge (pedestal forming region). QuaLiKiz is applied in numerous tokamak integrated modelling suites, and is openly available at https://gitlab.com/qualikiz-group/QuaLiKiz/. This dataset was generated with QuaLiKiz 2.8.4, which includes numerical improvements increasing the robustness of strongly driven (high gradient) calculations typical of the L-mode near-edge. See https://gitlab.com/qualikiz-group/QuaLiKiz/-/tags/2.8.4 for the in-repository tag. The dataset is appropriate for the training of learned surrogates of QuaLiKiz, e.g. with neural networks. See https://doi.org/10.1063/1.5134126 for a Physics of Plasmas publication illustrating the development of a learned surrogate (QLKNN10D-hyper) of an older version of QuaLiKiz (2.4.0) with a 300 million point 10D dataset. The paper is also available on arXiv and the older dataset on Zenodo. For an application example, see Van Mulders et al 2021, where QLKNN10D-hyper was applied for ITER hybrid scenario optimization. An additional, larger, QuaLiKiz dataset is found at https://zenodo.org/record/8017522. Neither the QLKNN10D or QLKNN11D datasets include L-mode near-edge parameters. For any learned surrogates developed for QLKNN7D-edge, the effective addition of the alphaMHD input dimension through rescaling the input magnetic shear (s) by s = s - alpha_MHD/2, as carried out in Van Mulders et al., is recommended. Related repositories: General QuaLiKiz documentation QuaLiKiz/QLKNN input/output variables naming scheme Training, plotting, filtering, and auxiliary tools QuaLiKiz related tools FORTRAN QLKNN implementation with wrapper for Python and MATLAB Weights and biases of 'hyperrectangle style' QLKNN
DOI: 10.5281/zenodo.8026539
title: QLKNN7D-edge training set

description: <strong>QLKNN7D-edge training set</strong> This dataset contains a large-scale run of ~15 million flux calculations of the quasilinear gyrokinetic transport model QuaLiKiz. The dataset is in a parameter regime typical of the L-mode near edge (pedestal forming region). QuaLiKiz is applied in numerous tokamak integrated modelling suites, and is openly available at https://gitlab.com/qualikiz-group/QuaLiKiz/. This dataset was generated with QuaLiKiz 2.8.4, which includes numerical improvements increasing the robustness of strongly driven (high gradient) calculations typical of the L-mode near-edge. See https://gitlab.com/qualikiz-group/QuaLiKiz/-/tags/2.8.4 for the in-repository tag. The dataset is appropriate for the training of learned surrogates of QuaLiKiz, e.g. with neural networks. See https://doi.org/10.1063/1.5134126 for a Physics of Plasmas publication illustrating the development of a learned surrogate (QLKNN10D-hyper) of an older version of QuaLiKiz (2.4.0) with a 300 million point 10D dataset. The paper is also available on arXiv and the older dataset on Zenodo. For an application example, see Van Mulders et al 2021, where QLKNN10D-hyper was applied for ITER hybrid scenario optimization. An additional, larger, QuaLiKiz dataset is found at https://zenodo.org/record/8017522. Neither the QLKNN10D or QLKNN11D datasets include L-mode near-edge parameters. For any learned surrogates developed for QLKNN7D-edge, the effective addition of the alphaMHD input dimension through rescaling the input magnetic shear (s) by s = s - alpha_MHD/2, as carried out in Van Mulders et al., is recommended. Related repositories: General QuaLiKiz documentation QuaLiKiz/QLKNN input/output variables naming scheme Training, plotting, filtering, and auxiliary tools QuaLiKiz related tools FORTRAN QLKNN implementation with wrapper for Python and MATLAB Weights and biases of 'hyperrectangle style' QLKNN
DOI: 10.5281/zenodo.8106431
title: QLKNN7D-edge training set

description: <strong>QLKNN7D-edge training set</strong> This dataset contains a large-scale run of ~15 million flux calculations of the quasilinear gyrokinetic transport model QuaLiKiz. The dataset is in a parameter regime typical of the L-mode near edge (pedestal forming region). QuaLiKiz is applied in numerous tokamak integrated modelling suites, and is openly available at https://gitlab.com/qualikiz-group/QuaLiKiz/. This dataset was generated with QuaLiKiz 2.8.4, which includes numerical improvements increasing the robustness of strongly driven (high gradient) calculations typical of the L-mode near-edge. See https://gitlab.com/qualikiz-group/QuaLiKiz/-/tags/2.8.4 for the in-repository tag. The dataset is appropriate for the training of learned surrogates of QuaLiKiz, e.g. with neural networks. See https://doi.org/10.1063/1.5134126 for a Physics of Plasmas publication illustrating the development of a learned surrogate (QLKNN10D-hyper) of an older version of QuaLiKiz (2.4.0) with a 300 million point 10D dataset. The paper is also available on arXiv and the older dataset on Zenodo. For an application example, see Van Mulders et al 2021, where QLKNN10D-hyper was applied for ITER hybrid scenario optimization. An additional, larger, QuaLiKiz dataset is found at https://zenodo.org/record/8017522. Neither the QLKNN10D or QLKNN11D datasets include L-mode near-edge parameters. For any learned surrogates developed for QLKNN7D-edge, the effective addition of the alphaMHD input dimension through rescaling the input magnetic shear (s) by s = s - alpha_MHD/2, as carried out in Van Mulders et al., is recommended. Related repositories: General QuaLiKiz documentation QuaLiKiz/QLKNN input/output variables naming scheme Training, plotting, filtering, and auxiliary tools QuaLiKiz related tools FORTRAN QLKNN implementation with wrapper for Python and MATLAB Weights and biases of 'hyperrectangle style' QLKNN
DOI: 10.7931/1ms1-m079
title: Dataset: Personality, sex, and capture biases: challenges for mesopredator monitoring and management