cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7651377
title: SuperDARN Grid data in netCDF format (2009-Jan)

description: 2009-Jan SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.6084/m9.figshare.22270288
title: hosts.tar.gz

description: reference genomes for CDC
DOI: 10.6084/m9.figshare.22270288.v1
title: hosts.tar.gz

description: reference genomes for CDC
DOI: 10.34740/kaggle/dsv/5166737
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.25919/jb0t-xc57
title: Parkes observations for project P1050 semester 2022OCTS_14

description: This is a request for the observation time for the timing campaign of new pulsars discovered in the reprocessing of the low-latitude Galactic plane section of the HTRU-S survey (HTRU-S LowLat) and the Parkes Multibeam Pulsar Survey (PMPS). We have completed 90 % of the HTRU-S LowLat survey and completed zero acceleration PMPS search with GPU-based coherent acceleration search, template bank, and fast folding algorithm pipelines and now have discovered 115 previously unknown pulsars among which 20 were found in the PMPS. Interesting science can usually only be derived from a new pulsar after confirmation, and a follow-up timing campaign is carried out. At least one year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, and spin-down rate, as well as for detecting any unexpected behaviour of the pulsar which might result from emission instabilities. This project is necessary for the timing of several interesting pulsars, including binary pulsars, high DM pulsars, scattered profile pulsars, and bright ones that show emissions in larger bandwidths in the UWL band. The follow-up timing in OCTS22 will assist in completing many exciting large-term science goals. In addition, the data obtained from this timing project will allow us to obtain many auxiliary scientific results which would help us understand the nature of the interstellar medium, spectral properties as well as pulsar emission mechanism.
DOI: 10.48567/3sgk-5367
title: Pegasus North Automatic Weather Station, 2014 unmodified ten-minute observational data.
DOI: 10.48567/2tfr-tv98
title: Thurston Island Automatic Weather Station, 2021 unmodified ten-minute observational data.
DOI: 10.48567/v5vk-rz33
title: AGO-4 Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/x7g4-ww15
title: Baldrick Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/8epa-sx79
title: Bear Peninsula Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/mzc6-kf86
title: Byrd Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/w3yh-st92
title: Cape Bird Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/yv11-bx93
title: Cape Denison Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/9a4n-rk51
title: D-10 Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/cdt6-6f38
title: D-47 Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/6a0b-df80
title: D-85 Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/3hxg-e835
title: Dome C II Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/6pbg-5n10
title: Dome Fuji Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/9keb-qa38
title: Elaine Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/qj1z-nk49
title: Elizabeth Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/scx3-k064
title: Emilia Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/1z0b-8q31
title: Emma Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/xs1m-f725
title: Erin Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/zjzz-6b77
title: Ferrell Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/bk07-je22
title: Gill Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/kdmp-kk75
title: Harry Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/dwbs-wv43
title: Henry Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/sdg2-jr15
title: JASE2007 Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/v28x-vc23
title: Janet Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/n3h3-j232
title: Laurie II Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/haz7-6857
title: Lettau Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/tqra-6298
title: Linda Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/zyrt-mx59
title: Lorne Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/vcvh-sf86
title: Manuela Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/xdjt-y805
title: Marble Point Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/n34k-bq63
title: Marble Point II Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/r7n6-9z97
title: Margaret Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/j6ez-wq59
title: Marilyn Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/sc02-m698
title: Minna Bluff Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/4209-w984
title: Mizuho Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/gyht-8054
title: Nico Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/fvh9-tq89
title: PANDA-South Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/dhce-kd73
title: Phoenix Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/hga3-vn27
title: Possession Island Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.6084/m9.figshare.22272202
title: Domestic_v_Wild_Solanaceae_Species_Tree_Overall

description: Species phylogenetic tree NEWICK file that compares Solanaceae Domestic and Wild Species of <em>Solanum</em> (tomato, potato, eggplant), <em>Capsicum</em>, <em>Nicotiana</em>, <em>Petunia</em>, and the Solanaceae outgroup <em>Ipomoea triloba</em> (morning glory). This file was utilized for the analysis used in Figure 1.
DOI: 10.6084/m9.figshare.22272202.v2
title: Domestic_v_Wild_Solanaceae_Species_Tree_Overall

description: Species phylogenetic tree NEWICK file that compares Solanaceae Domestic and Wild Species of <em>Solanum</em> (tomato, potato, eggplant), <em>Capsicum</em>, <em>Nicotiana</em>, <em>Petunia</em>, and the Solanaceae outgroup <em>Ipomoea triloba</em> (morning glory). This file was utilized for the analysis used in Figure 1.
DOI: 10.6084/m9.figshare.22272202.v1
title: Species_Tree_Overall

description: Species phylogenetic tree NEWICK file that compares Solanaceae Domestic and Wild Species of <em>Solanum</em> (tomato, potato, eggplant), <em>Capsicum</em>, <em>Nicotiana</em>, <em>Petunia</em>, and the Solanaceae outgroup <em>Ipomoea triloba</em> (morning glory). This file was utilized for the analysis used in Figure 1.
DOI: 10.48567/hct9-4d89
title: Relay Station Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/2an9-hj54
title: Sabrina Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/k2z3-je79
title: Schwerdtfeger Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/rj9a-fx70
title: Siple Dome Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/hpka-5g40
title: Thurston Island Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/mnd3-sd42
title: Vito Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/spnb-a960
title: White Island Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/zxtz-gd98
title: Whitlock Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/792y-vy13
title: Willie Field Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/saj0-0070
title: Windless Bight Automatic Weather Station, 2023 unmodified ten-minute observational data.
DOI: 10.48567/3c4d-xa46
title: Martha II Automatic Weather Station, 1990 Reader format three-hour observational data.
DOI: 10.22002/1h4hs-95n37
title: DAS data for "The second boiling of the Long Valley caldera resolved by fiber tomography"

description: DAS dataset from the "The second boiling of the Long Valley caldera resolved by fiber tomography" study.
DOI: 10.6084/m9.figshare.21898926
title: Cronologías de indicadores de crecimiento

description: Base de datos de cronologías de incremento en area basal estandarizada (BAI, basal area increment) a nivel sitio* para México. <br> Los sitios fueron descargados del Banco Internacional de Datos de Anillos de Crecimiento (ITRDB, por sus siglas en ingles) (https://www.ncei.noaa.gov/access/paleo-search/?dataTypeId=18) y estandarizadas por el método Spline con una rigidez de 2/3 de la longitud de la serie. <br> Descripción year = Año std = Incremento en area basal versión estandarizada. Los valores corresponden a series de media 1 y varianza homogénea samp.depth = Número de muestras site = Sitio <br> <br> *El archivo "Base de datos_resiliencia_Mexico" contiene la informacion de los sitios, asi como sus compiladores originales. <br> INIFAP CENID COMEF
DOI: 10.6084/m9.figshare.21898926.v3
title: Cronologías de indicadores de crecimiento

description: Base de datos de cronologías de incremento en area basal estandarizada (BAI, basal area increment) a nivel sitio* para México. <br> Los sitios fueron descargados del Banco Internacional de Datos de Anillos de Crecimiento (ITRDB, por sus siglas en ingles) (https://www.ncei.noaa.gov/access/paleo-search/?dataTypeId=18) y estandarizadas por el método Spline con una rigidez de 2/3 de la longitud de la serie. <br> Descripción year = Año std = Incremento en area basal versión estandarizada. Los valores corresponden a series de media 1 y varianza homogénea samp.depth = Número de muestras site = Sitio <br> <br> *El archivo "Base de datos_resiliencia_Mexico" contiene la informacion de los sitios, asi como sus compiladores originales. <br> INIFAP CENID COMEF
DOI: 10.6084/m9.figshare.21898926.v2
title: Cronologías de indicadores de crecimiento

description: Base de datos de cronologías de incremento en area basal estandarizada (BAI, basal area increment) a nivel sitio* para México. <br> Los sitios fueron descargados del Banco Internacional de Datos de Anillos de Crecimiento (ITRDB, por sus siglas en ingles) (https://www.ncei.noaa.gov/access/paleo-search/?dataTypeId=18) y estandarizadas por el método Spline con una rigidez de 2/3 de la longitud de la serie. <br> Descripción year = Año std = Incremento en area basal versión estandarizada. Los valores corresponden a series de media 1 y varianza homogénea samp.depth = Número de muestras site = Sitio <br> <br> *El archivo "Base de datos_resiliencia_Mexico" contiene la informacion de los sitios, asi como sus compiladores originales. <br> INIFAP CENID COMEF
DOI: 10.5517/ccdc.csd.cc2dbjv4
title: CCDC 2214666: Experimental Crystal Structure Determination

description: Related Article: Sayed Muktar Hossain, Sujit Kamilya, Sounak Ghosh, Radovan Herchel, Mikhail A. Kiskin, Sakshi Mehta, Abhishake Mondal|2023|Cryst.Growth Des.|23|1656|doi:10.1021/acs.cgd.2c01255
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: 10.5517/ccdc.csd.cc2dbjx6
title: CCDC 2214668: Experimental Crystal Structure Determination

description: Related Article: Sayed Muktar Hossain, Sujit Kamilya, Sounak Ghosh, Radovan Herchel, Mikhail A. Kiskin, Sakshi Mehta, Abhishake Mondal|2023|Cryst.Growth Des.|23|1656|doi:10.1021/acs.cgd.2c01255
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: 10.5517/ccdc.csd.cc2dcdt0
title: CCDC 2215502: Experimental Crystal Structure Determination

description: Related Article: Longbo Li, Bianca Matsuo, Guillaume Levitre, Edward J. McClain, Eric A. Voight, Erika A. Crane, Gary A. Molander|2023|Chemical Science|14|2713|doi:10.1039/D3SC00144J
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: 10.5517/ccdc.csd.cc2ddxc3
title: CCDC 2216945: Experimental Crystal Structure Determination

description: Related Article: Jordan L. Appleton, Nolwenn Le Breton, Mary-Ambre Carvalho, Jean Weiss, Athanassios K. Boudalis, Christophe Gourlaouen, Sylvie Choua, Romain Ruppert|2023|Cryst.Growth Des.|23|1689|doi:10.1021/acs.cgd.2c01270
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: 10.5517/ccdc.csd.cc2ddxg6
title: CCDC 2216948: Experimental Crystal Structure Determination

description: Related Article: Jordan L. Appleton, Nolwenn Le Breton, Mary-Ambre Carvalho, Jean Weiss, Athanassios K. Boudalis, Christophe Gourlaouen, Sylvie Choua, Romain Ruppert|2023|Cryst.Growth Des.|23|1689|doi:10.1021/acs.cgd.2c01270
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: 10.5517/ccdc.csd.cc2ddxlb
title: CCDC 2216952: Experimental Crystal Structure Determination

description: Related Article: Die Hu, Nian Zhang, Qing Zhou, Yuanxiang Zhou, Chenyu Gong, Yuanquan Zhang, Wei Xue|2023|Fitoterapia|166|105458|doi:10.1016/j.fitote.2023.105458
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: 10.5517/ccdc.csd.cc2dj1yy
title: CCDC 2219970: Experimental Crystal Structure Determination

description: Related Article: Lachlan Sharp-Bucknall, Marcus Sceney, Keith F. White, Jason L. Dutton|2023|Dalton Trans.|52|3358|doi:10.1039/D3DT00275F
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: 10.6084/m9.figshare.22272241
title: Domestic_v_Wild_Solanaceae_Gene_Tree_Overall

description: Overall gene tree generated using maximum likelihood model for FLS2 homologs from Solanaceae Domestic and Wild Species of <em>Solanum</em> (tomato, potato, eggplant), <em>Capsicum</em>, <em>Nicotiana</em>, <em>Petunia</em>, and the Solanaceae outgroup <em>Ipomoea triloba</em> (morning glory). The FLS2 coding sequences were obtained using a TBLASTN search using the FLS2 from <em>Arabidopsis thaliana</em> against Sol Genomics Database, Ensembl, and the Eggplant Genomic Database. Pseudogenes were removed and sequences were aligned using AliView. Multiple FASTA files were generated to specify by genus. Using these sequences, phylogenetic trees were generated using IQTree, a software tool that uses a maximum likelihood model. This file was utilized for the analysis used in Figure 2.
DOI: 10.6084/m9.figshare.22272241.v1
title: Domestic_v_Wild_Solanaceae_Gene_Tree_Overall

description: Overall gene tree generated using maximum likelihood model for FLS2 homologs from Solanaceae Domestic and Wild Species of <em>Solanum</em> (tomato, potato, eggplant), <em>Capsicum</em>, <em>Nicotiana</em>, <em>Petunia</em>, and the Solanaceae outgroup <em>Ipomoea triloba</em> (morning glory). The FLS2 coding sequences were obtained using a TBLASTN search using the FLS2 from <em>Arabidopsis thaliana</em> against Sol Genomics Database, Ensembl, and the Eggplant Genomic Database. Pseudogenes were removed and sequences were aligned using AliView. Multiple FASTA files were generated to specify by genus. Using these sequences, phylogenetic trees were generated using IQTree, a software tool that uses a maximum likelihood model. This file was utilized for the analysis used in Figure 2.
DOI: 10.5066/p9ugixy5
title: Provisional Multi-GAS Volcanic Gas Monitoring Data, Obsidian Pool thermal area, Yellowstone National Park

description: This release presents provisional volcanic gas monitoring data from multi-GAS (multiple Gas Analyzer System) station "YELL_MUD", installed in July 2021 in the Obsidian Pool thermal area, Yellowstone National Park, USA. The multi-GAS station includes gas sensors to measure water vapor, carbon dioxide (CO2), sulfur dioxide (SO2), and hydrogen sulfide (H2S) in gas plumes, as well as meteorologic parameters (wind speed and direction, ambient temperature and relative humidity, ambient pressure), and the temperature of a nearby geothermal feature. The station is duty cycled to conserve power and collects data for 30 minutes every 6 hours beginning at 00:00, 06:00, 12:00, and 18:00 UTC. Before each measurement cycle the gas sensors' baseline responses are checked by recirculating trapped air through chemical scrubbers (soda lime and anhydrite) to remove acid gases and water vapor. On-site CO2, SO2, and H2S standard gases are sampled every 28.25 days to verify the sensor responses. High-rate data are logged onsite and half-hourly averaged values from each sample cycle, along with baseline ('zero') and verification ('span') results, are telemetered every 6 hours by a BGAN satellite system. The half-hourly averages and diagnostic data obtained via telemetry are presented herein. Real-time values from the station can be viewed on the USGS Yellowstone monitoring webpage by clicking on the small 'gas cloud' icon (https://www.usgs.gov/volcanoes/yellowstone). Please note that the data presented herein are provisional, as described below. For a more detailed technical description of the multi-GAS instrument please see Lewicki et al., 2017. PROVISIONAL DATA DISCLAIMER: These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data. While every effort is made to obtain accurate measurements, volcanic environments can be extremely harsh and provisional data and results generated by automated processing routines have not been analyst-reviewed and may be inaccurate due to instrument malfunctions, sensor drift, or other problems. Any such problems may take some time to address due to the remote location of the site. Users are cautioned to carefully consider the provisional nature of the data before using it. Information concerning the accuracy and appropriate uses of these data may be obtained from the USGS. Reference Lewicki, J.L., Kelly, P.J., Bergfeld, D., Vaughan, R.G., Lowenstern, J.B., 2017. Monitoring gas and heat emissions at Norris Geyser Basin, Yellowstone National Park, USA based on a combined eddy covariance and Multi-GAS approach. J. Volcanol. Geotherm. Res. 347, 312?326. https://doi.org/10.1016/J.JVOLGEORES.2017.10.001
DOI: 10.6084/m9.figshare.22272250
title: Domestic_v_Wild_Solanaceae_Gene_Tree_Individual_Genuses

description: Individual genus gene trees generated using the maximum likelihood model for FLS2 homologs from Solanaceae Domestic and Wild Species of <em>Solanum</em> (tomato, potato, eggplant), <em>Capsicum</em>, <em>Nicotiana</em>, <em>Petunia</em>, and the Solanaceae outgroup <em>Ipomoea triloba</em> (morning glory). The FLS2 coding sequences were obtained using a TBLASTN search using the FLS2 from <em>Arabidopsis thaliana</em> against Sol Genomics Database, Ensembl, and the Eggplant Genomic Database. Pseudogenes were removed and sequences were aligned using AliView. Multiple FASTA files were generated to specify by genus. Using these sequences, phylogenetic trees were generated using IQTree, a software tool that uses a maximum likelihood model. This file was utilized for the analysis used in Figure 2.