cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21223/eyhjp8/x1aowo
title: 04_Irrigation and mechanisation.tab

description: :unav
DOI: 10.21223/eyhjp8/yneimd
title: 01_Basic info.tab

description: :unav
DOI: 10.21223/eyhjp8/vvqzfo
title: 03_Assets and work done.tab

description: :unav
DOI: 10.21223/eyhjp8/3l37rn
title: 02_Land and livestock information.tab

description: :unav
DOI: 10.21223/eyhjp8
title: Dataset for: Diagnosis of the situation of women of different castes from India

description: The present document consists of a statistical diagnosis of the situation of women of different castes from India.
DOI: 10.5281/zenodo.7465581
title: acanthurus_tennentii_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7465580
title: acanthurus_tennentii_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7465149
title: RAFT synthetic tropical cyclones dataset for Balaguru et al. 2022 - Science Advances

description: This is the RAFT synthetic tropical cyclone (TC) dataset generated for the paper "Increased US coastal hurricane risk under climate change" submitted to the journal Science Advances in 2022.<br> Each file contains 50,000 synthetic TCs from RAFT either for the historical period (1980-2014) or the future period (2066-2100) under “SSP585”, and from a CMIP6 global climate model.<br> intensity_model_output_corrVMPI_11vars_alltcs_cutoff15_CMIP6_{PERIOD} _{MODEL}.mat<br> To read a .mat file in Python, one can use “scipy.io.loadmat”.<br> There are several variables included in each file, and all have the same dimension [number of storms, number of timesteps]. Here are a list of variable names and what they represent:<br> ‘lat’: Storm latitude;<br> ‘lon’: Storm longitude;<br> ‘year’: year;<br> ‘jday_syn’: Julian day in the year;<br> ‘vs0_syn’: maximum surface wind (knot).<br> Please note that this version of synthetic TC dataset is only intended for assessing the large-scale change of hurricane risk under climate change (through statistical-dynamical downscaling of CMIP6 GCMs), which is addressed in the above mentioned paper. Due to the model biases in CMIP6 and the low temporal resolution (monthly) used for RAFT inputs, the synthetic TCs' life-time maximum intensity is underestimated. Therefore, the synthetic TCs here should not be treated directly as "example TCs of current or future climate" without bias correction on the TC intensity. The authors plan to release a separate version of RAFT simulated synthetic TCs with proper bias correction for localized TC impact assessment. Please email authors if you have questions.
description: K.B., W.X., C.C., L.R.L., S.M.H. and M.F.W are supported by the Office of Science (BER) of the U.S. Department of Energy as part of the Regional and Global Modeling and Analysis (RGMA) program. K.B., W.X. and D.R.J. are also supported by the MultiSector Dynamics (MSD) program of BER. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830.
DOI: 10.5281/zenodo.7465148
title: RAFT synthetic tropical cyclones dataset for Balaguru et al. 2022 - Science Advances

description: This is the RAFT synthetic tropical cyclone (TC) dataset generated for the paper "Increased US coastal hurricane risk under climate change" submitted to the journal Science Advances in 2022.<br> Each file contains 50,000 synthetic TCs from RAFT either for the historical period (1980-2014) or the future period (2066-2100) under “SSP585”, and from a CMIP6 global climate model.<br> intensity_model_output_corrVMPI_11vars_alltcs_cutoff15_CMIP6_{PERIOD} _{MODEL}.mat<br> To read a .mat file in Python, one can use “scipy.io.loadmat”.<br> There are several variables included in each file, and all have the same dimension [number of storms, number of timesteps]. Here are a list of variable names and what they represent:<br> ‘lat’: Storm latitude;<br> ‘lon’: Storm longitude;<br> ‘year’: year;<br> ‘jday_syn’: Julian day in the year;<br> ‘vs0_syn’: maximum surface wind (knot).<br> Please note that this version of synthetic TC dataset is only intended for assessing the large-scale change of hurricane risk under climate change (through statistical-dynamical downscaling of CMIP6 GCMs), which is addressed in the above mentioned paper. Due to the model biases in CMIP6 and the low temporal resolution (monthly) used for RAFT inputs, the synthetic TCs' life-time maximum intensity is underestimated. Therefore, the synthetic TCs here should not be treated directly as "example TCs of current or future climate" without bias correction on the TC intensity. The authors plan to release a separate version of RAFT simulated synthetic TCs with proper bias correction for localized TC impact assessment. Please email authors if you have questions.
description: K.B., W.X., C.C., L.R.L., S.M.H. and M.F.W are supported by the Office of Science (BER) of the U.S. Department of Energy as part of the Regional and Global Modeling and Analysis (RGMA) program. K.B., W.X. and D.R.J. are also supported by the MultiSector Dynamics (MSD) program of BER. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830.
DOI: 10.5281/zenodo.7465601
title: heniochus_monoceros_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7465600
title: heniochus_monoceros_spades_01.fasta.gz

description: .
DOI: 10.21223/caqq9n/ksa3ge
title: 03_Data_dictionary.tab

description: :unav
DOI: 10.21223/caqq9n/mcx14a
title: 01_Soil analysis.tab

description: :unav
DOI: 10.21223/caqq9n/mrximn
title: 02_Yield data.tab

description: :unav
DOI: 10.25505/fiz.icsd.cc28czg3
title: CSD 2096885: Experimental Crystal Structure Determination

description: Related Article: James Louis-Jean, Paul M. Forster, Samundeeswari Mariappan Balasekaran, Chien Thang Pham, Frederic Poineau|2021|J.Fluorine Chem.|252|109903|doi:10.1016/j.jfluchem.2021.109903
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28wrkh
title: CSD 2112047: Experimental Crystal Structure Determination

description: Related Article: Marcus Tze-Kiat Ng, Nicola L. Bell, De-Liang Long, Leroy Cronin|2021|J.Am.Chem.Soc.|143|20059|doi:10.1021/jacs.1c10198
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28wrlj
title: CSD 2112048: Experimental Crystal Structure Determination

description: Related Article: Marcus Tze-Kiat Ng, Nicola L. Bell, De-Liang Long, Leroy Cronin|2021|J.Am.Chem.Soc.|143|20059|doi:10.1021/jacs.1c10198
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28x2kv
title: CSD 2112357: Experimental Crystal Structure Determination

description: Related Article: M. Tillard, D. Granier, C. Reibel, L. Daenens, P. Armand|2022|J.Solid State Chem.|306|122809|doi:10.1016/j.jssc.2021.122809
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28wt77
title: CCDC 2112099: Experimental Crystal Structure Determination

description: Related Article: Renee W. Y. Man, Hong Yi, Sami Malola, Shinjiro Takano, Tatsuya Tsukuda, Hannu Häkkinen, Masakazu Nambo, Cathleen M. Crudden|2022|J.Am.Chem.Soc.|144|2056|doi:10.1021/jacs.1c11857
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: 10.25505/fiz.icsd.cc28x2mx
title: CSD 2112359: Experimental Crystal Structure Determination

description: Related Article: M. Tillard, D. Granier, C. Reibel, L. Daenens, P. Armand|2022|J.Solid State Chem.|306|122809|doi:10.1016/j.jssc.2021.122809
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28xmqk
title: CSD 2112889: Experimental Crystal Structure Determination

description: Related Article: Subhendu Jana, Gopabandhu Panigrahi, Bikash Tripathy, Sairam K. Malladi, Manish K. Niranjan, Jai Prakash|2022|J.Solid State Chem.|308|122914|doi:10.1016/j.jssc.2022.122914
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y07h
title: CSD 2113246: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y0lv
title: CSD 2113257: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y0qz
title: CSD 2113261: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y0r0
title: CSD 2113262: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y0v3
title: CSD 2113265: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y0w4
title: CSD 2113266: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y0x5
title: CSD 2113267: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y0y6
title: CSD 2113268: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y0z7
title: CSD 2113269: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28y17j
title: CSD 2113277: Experimental Crystal Structure Determination

description: Related Article: Elizabeth A. Decoteau, Matthew J. Polinski|2022|J.Solid State Chem.|306|122780|doi:10.1016/j.jssc.2021.122780
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21754973
title: Algal bloom in China lakes

description: This dataset includes the algal bloom information in many small China lakes.
DOI: 10.6084/m9.figshare.21754973.v1
title: Algal bloom in China lakes

description: This dataset includes the algal bloom information in many small China lakes.
DOI: 10.5281/zenodo.7465698
title: chaetodon_striatus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7465697
title: chaetodon_striatus_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21761075
title: ManufacturabilityTest Data for Low-cost Light-bASED GelMA Bioprinting via retrofitting

description: Supplementary data for the article Low-Cost Light-Based GelMA 3D Bioprinting via Retrofitting: Manufacturability Test and Cell Culture Assessment of the Micromachines (MDPI)
DOI: 10.21223/ogdkqh/yawktv
title: 01_FoodTransect_Location.tab

description: :unav
DOI: 10.21223/ogdkqh/9dovw5
title: 03_Data_dictionary.tab

description: :unav
DOI: 10.21223/ogdkqh/jpv3ok
title: 02_FoodTransect_FoodGroups.tab

description: :unav
DOI: 10.21223/ogdkqh
title: Dataset for: Food Transect Survey in three landscapes (Amarilis, Huanuco-Quisqui and Molinos - Umari) in Huanuco, 2022 (1st experiment)

description: The dataset is based on visits to places where the locals make the largest amount of food purchases for their daily consumption. According to the preferences of the household members and their places of purchase of supplies (food group), a total number of transects was made of 60, with 897 registered food stalls (main avenue, market, neighborhood street, and food fairs), in the districts of Huanuco, Quisqui (Kichki) and Amarilis in the province of Huánuco and in the districts from Umari, Molino and Panao in the province of Pachitea in the region of Huanuco, 2022
DOI: 10.57833/cidacs/un8bbi
title: Deslocamento em busca de serviços de saúde - Índice de Atração entre os arranjos populacionais

description: Este dateset contém o Índice de Atração Temática (IAT) entre os arranjos populacionais (ou municípios isolados) na busca por serviços de saúde de baixa, média e alta complexidade. Este índice não considera a população residente na própria cidade, apenas a população atraída residente nas cidades que a citaram. Os dados são de origem da pesquisa Regiões de Influência das Cidades (REGIC) 2018, IBGE. Esta pesquisa define a hierarquia dos centros urbanos brasileiros e delimita as regiões de influência a eles associados. É nessa pesquisa em que se identificam, por exemplo, as metrópoles e capitais regionais brasileiras e qual o alcance espacial da influência delas. Ainda, de acordo com o IBGE, no questionário da pesquisa REGIC 2018 existia dois quesitos que investigam o deslocamento de pessoas partindo de seus municípios com destino a outros com o propósito de acesso a serviços de saúde de baixa, média e alta complexidade. Os resultados provenientes da base de dados desses quesitos permitem a visualização do comportamento da rede urbana do país na área de saúde, contribuindo para a identificação de regiões de atendimento e cidades polarizadoras de serviços de saúde.
DOI: 10.57833/cidacs/fmymt2
title: Deslocamento em busca de serviços de saúde de baixa e média complexidade - ligações principais entre arranjos populacionais

description: Este conjunto de dados contém as ligações principais entre os arranjos populacionais (ou municípios isolados) a respeito dos deslocamentos em busca de serviços de saúde de baixa/média complexidade. O dataset apresenta o destino principal para prestação de serviços de saúde de baixa e média complexidade, segundo informado nas cidades de origem. Inclui tanto serviços de saúde pública quanto particular. Não inclui instituições médicas no próprio município. Os dados são de origem da pesquisa Regiões de Influência das Cidades (REGIC) 2018, IBGE. Esta pesquisa define a hierarquia dos centros urbanos brasileiros e delimita as regiões de influência a eles associados. É nessa pesquisa em que se identificam, por exemplo, as metrópoles e capitais regionais brasileiras e qual o alcance espacial da influência delas. Ainda, de acordo com o IBGE, no questionário da pesquisa REGIC 2018 existia dois quesitos que investigam o deslocamento de pessoas partindo de seus municípios com destino a outros com o propósito de acesso a serviços de saúde de baixa, média e alta complexidade. Os resultados provenientes da base de dados desses quesitos permitem a visualização do comportamento da rede urbana do país na área de saúde, contribuindo para a identificação de regiões de atendimento e cidades polarizadoras de serviços de saúde.
DOI: 10.5281/zenodo.7465759
title: acanthurus_grammoptilus_decontaminated_FSCR.fasta,gz

description: .
DOI: 10.5281/zenodo.7465758
title: acanthurus_grammoptilus_decontaminated_FSCR.fasta,gz

description: .
DOI: 10.57833/cidacs/piiswm
title: Deslocamento em busca de serviços de saúde de baixa e média complexidade - ligações completas entre arranjos populacionais

description: Este conjunto de dados contém as ligações completas entre os arranjos populacionais (ou municípios isolados) a respeito dos deslocamentos em busca de serviços de saúde de baixa/média complexidade. O dataset apresenta os destinos mais procurados para prestação de serviços de saúde de baixa e média complexidade, segundo informado nas cidades de origem. Inclui tanto serviços de saúde pública quanto particular. Não inclui instituições médicas no próprio município. Os dados são de origem da pesquisa Regiões de Influência das Cidades (REGIC) 2018, IBGE. Esta pesquisa define a hierarquia dos centros urbanos brasileiros e delimita as regiões de influência a eles associados. É nessa pesquisa em que se identificam, por exemplo, as metrópoles e capitais regionais brasileiras e qual o alcance espacial da influência delas. Ainda, de acordo com o IBGE, no questionário da pesquisa REGIC 2018 existia dois quesitos que investigam o deslocamento de pessoas partindo de seus municípios com destino a outros com o propósito de acesso a serviços de saúde de baixa, média e alta complexidade. Os resultados provenientes da base de dados desses quesitos permitem a visualização do comportamento da rede urbana do país na área de saúde, contribuindo para a identificação de regiões de atendimento e cidades polarizadoras de serviços de saúde.