cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9e6esc2
title: Geospatial Datasets of the Glacial Geology and Hydrogeology of the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York

description: In 2015, the U.S. Geological Survey (USGS), in cooperation with the New York State Department of Environmental Conservation (NYSDEC), began an appraisal of the sand and gravel aquifers within the Owasco Inlet watershed, which covers about 117 square miles (mi2) and drains north directly to Owasco Lake, one of New York’s Finger Lakes. About three-quarters of the watershed is within Cayuga County; the remaining area (southern end) is in Tompkins County. The Owasco Inlet valley stretches about 18 miles (mi) from Owasco Lake south to the divide at Freeville. Major tributaries include Hemlock Creek on the west side of the watershed and Dresserville and Decker Creeks on the east side. A variety of data were compiled, collected, and synthesized to provide a broad picture of the glacial deposits, hydrogeologic framework, aquifer occurrence, and water-resource potential in the area. Geospatial datasets (shapefiles) of aquifer extents, wells, surficial geology and glacial features are detailed in child items associated with this data release.
DOI: 10.5517/ccdc.csd.cc2bvgnb
title: CCDC 2170392: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvgpc
title: CCDC 2170393: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvgqd
title: CCDC 2170394: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvgth
title: CCDC 2170397: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvgvj
title: CCDC 2170398: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvgwk
title: CCDC 2170399: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvgxl
title: CCDC 2170400: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvgym
title: CCDC 2170401: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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: 10.24431/rw1k7dr
title: Mapping Physical Characteristics of the Columbia River Mouth Using Transmittered Diving Waterbirds, 2014

description: This study investigated the local movements, foraging dive behavior, and foraging habitat selection by breeding adults of 2 closely related cormorant species, double-crested cormorants, Nannopterum auritum and Brandt’s cormorants, Urile penicillatus. These species nest sympatrically at East Sand Island in the Columbia River estuary at the border of Oregon and Washington states, USA. Breeding individuals of each species were tracked using GPS tags with integrated temperature and depth data-loggers. Complete TDR and GPS instrument data were obtained from 15 Brandt’s cormorants and 17 double-crested cormorants in 2014. Datasets will be in ".csv" format. TDR data were collected at a one-second sampling frequency for two Brandt’s and three double-crested cormorants, while the remaining TDR instruments sampled at a two-second frequency. For the five one-second frequency deployments, processed files were generated for 1) the original one-second frequency data, and 2) the original data with every-other observation subsampled, matching the temporal resolution of the two-second data. This yielded a total of 37 separate deployments/frequencies for analysis.
DOI: 10.5517/ccdc.csd.cc2bvgzn
title: CCDC 2170402: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvh0q
title: CCDC 2170403: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvh1r
title: CCDC 2170404: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvzv1
title: CCDC 2170894: Experimental Crystal Structure Determination

description: Related Article: Qiu-Yan Jin, Yuan-Yuan Liang, Zhi-Hui Zhang, Liao Meng, Jun-Shan Geng, Kong-Qiu Hu, Ji-Pan Yu, Zhi-Fang Chai, Lei Mei, Wei-Qun Shi|2023|Chemical Science|14|6330|doi:10.1039/D3SC01343J
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.8040128
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Lulu Florence Allabach, http://www.wikidata.org/entity/Q106888115. 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/Q106888115
DOI: 10.5281/zenodo.8040127
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Lulu Florence Allabach, http://www.wikidata.org/entity/Q106888115. 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/Q106888115
DOI: 10.5281/zenodo.8040118
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Frank Alack, http://www.wikidata.org/entity/Q117750121. 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/Q117750121
DOI: 10.5281/zenodo.8040117
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Frank Alack, http://www.wikidata.org/entity/Q117750121. 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/Q117750121
DOI: 10.5281/zenodo.8034853
title: MarkupMnA

description: The MarkupMnA dataset is a corpus of 151 merger and acquisition agreements with annotated sections titles, section numbers, page numbers, and more, based on HTML filings by US public companies retrieved from the SEC EDGAR database. We consider the task of section title annotation as a sequence labeling task, and to that end, use the BEIOS tagging scheme when generating our annotations. There are over 70,000 labels in the entire dataset excluding outside labels and over 465,000 labels including outside labels. We add annotations to the contracts in an already widely used dataset, MAUD, which is an expert-annotated reading comprehension dataset. The broad objective of our work is to make progress toward developing computationally efficient hierarchical representations of long documents, specifically for legal contracts. We hope that our annotations can be used in conjunction with MAUD to advance legal NLP research.
DOI: 10.5281/zenodo.8035731
title: MarkupMnA

description: The MarkupMnA dataset is a corpus of 151 merger and acquisition agreements with annotated sections titles, section numbers, page numbers, and more, based on HTML filings by US public companies retrieved from the SEC EDGAR database. We consider the task of section title annotation as a sequence labeling task, and to that end, use the BEIOS tagging scheme when generating our annotations. There are over 70,000 labels in the entire dataset excluding outside labels and over 465,000 labels including outside labels. We add annotations to the contracts in an already widely used dataset, MAUD, which is an expert-annotated reading comprehension dataset. The broad objective of our work is to make progress toward developing computationally efficient hierarchical representations of long documents, specifically for legal contracts. We hope that our annotations can be used in conjunction with MAUD to advance legal NLP research.
DOI: 10.5281/zenodo.8039940
title: MarkupMnA

description: The MarkupMnA dataset is a corpus of 151 merger and acquisition agreements with annotated sections titles, section numbers, page numbers, and more, based on HTML filings by US public companies retrieved from the SEC EDGAR database. We consider the task of section title annotation as a sequence labeling task, and to that end, use the BEIOS tagging scheme when generating our annotations. There are over 70,000 labels in the entire dataset excluding outside labels and over 465,000 labels including outside labels. We add annotations to the contracts in an already widely used dataset, MAUD, which is an expert-annotated reading comprehension dataset. The broad objective of our work is to make progress toward developing computationally efficient hierarchical representations of long documents, specifically for legal contracts. We hope that our annotations can be used in conjunction with MAUD to advance legal NLP research.
DOI: 10.5281/zenodo.8040355
title: Systematic Literature Review Database

description: Database used in the point 2.2 of my thesis "Intercultural competencies development to foster professional collaboration among countries".
DOI: 10.5281/zenodo.8040354
title: Systematic Literature Review Database

description: Database used in the point 2.2 of my thesis "Intercultural competencies development to foster professional collaboration among countries".
DOI: 10.15139/s3/9j6fdr
title: Leisure Vacations and Close Relationships, 2011

description: This survey was designed to compare vacation attitudes and experiences and romantic relationship quality. Participants were 470 adults from all over the United States of America (61% female, 39% male) with over 90% between 18-54 years old (recruited on Mturk). Around 75% reported being in a romantic relationship (lengths varied from 1 month to over 20 years) This cross-sectional survey focused on relationship quality measures (passion, satisfaction, and closeness), most recent leisure travel experiences (what type of vacation, who went with them), vacation preferences (e.g., like traveling with friends, romantic partner, etc...), the novelty of experiences on the most recent vacation (adapted from self-expansion). Participants not in a relationships also completed relevant measures. Note: A longitudinal follow-up dataset done with undergraduates which include with very similar variables could also be available IRB approval from Claremont Graduate University (2/4/11) #2/4/2011
DOI: 10.5066/p9852i1g
title: Mark-recapture and environmental data used to predict flannelmouth sucker (Catostomous latippinis) growth rates within the Colorado River in the Grand Canyon from April 2012 to October 2018

description: These data were compiled to fit Bayesian state-space growth in length models to estimate the environmental variables that influence flannelmouth sucker growth rates in the Grand Canyon. Objective(s) of our study were to quantify monthly intervals of growth of flannelmouth suckers in four river reaches, and test if novel high frequency gross primary productivity data would be a significant predictor of fish growth. These data represent capture histories for flannelmouth sucker (Catostomus latippinis) in the mainstem of the Colorado River within the Grand Canyon (river mile 0 to 226) from 2012-2018 and environmental variable data including water temperature, turbidity, and gross primary productivity. Fish data refer to fish length (&amp;amp;amp;amp;amp;gt;150mm fork length), month of capture and spatial location for captures of flannelmouth sucker. These data were collected in the segment of the Colorado River that is within the Grand Canyon, Arizona, between April 2012 to October 2018. Mean monthly water temperature and turbidity data were collected at USGS stream gages at four locations on the Colorado River, and mean monthly gross primary productivity data was collected daily via four Yellow Springs Instrument (YSI) sonds at the same four locations as the stream gages. These data were collected by US Geological Survey, US Fish &amp;amp;amp;amp;amp; Wildlife Service, National Parks Service and Arizona Department of Game and Fish, with funding from the Bureau of Reclamation. Fish data were collected using boat electrofishing and hoop nets, and environmental data was obtained from USGS stream gages. These data can be used to look at spatial and temporal variations in flannelmouth sucker growth.
DOI: 10.6084/m9.figshare.23518989
title: NNI Database UPDATE

description: This dataset is an update of the dataset published by Ciampitti et al., 2022 (A global dataset to parametrize critical nitrogen dilution curves for major crop species). This dataset contains the result of extracting data of plant biomass, plant N concentration and harvest yield.
DOI: 10.34683/sr2152
title: StoneRounds Case: SR2152
title: XL Choroideremia

description: StoneRounds Case SR2152 was diagnosed with XL Choroideremia likely caused by mutations in the gene: CHM.
DOI: 10.5281/zenodo.8040318
title: DeepSTARR tfrecords

description: TFRecords of deepstarr dataset.
DOI: 10.5281/zenodo.8040317
title: DeepSTARR tfrecords

description: TFRecords of deepstarr dataset.
DOI: 10.5517/ccdc.csd.cc29bp9n
title: CCDC 2125431: Experimental Crystal Structure Determination

description: Related Article: Bei-Bei Zhan, Kai-Sheng Xie, Qian Zhu, Weiping Zhou, Dapeng Zhu, Biao Yu|2023|Org.Lett.|25|3841|doi:10.1021/acs.orglett.3c01163
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.cc2bvgrf
title: CCDC 2170395: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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.cc2bvh2s
title: CCDC 2170405: Experimental Crystal Structure Determination

description: Related Article: Michelle M. Harris, Irina A. Kühne, Conor T. Kelly, Vibe B. Jakobsen, Ross Jordan, Luke O’Brien, Helge Müller-Bunz, Solveig Felton, Grace G. Morgan|2023|Cryst.Growth Des.|23|3996|doi:10.1021/acs.cgd.2c01284
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: 10.25345/c5p84460b
title: MassIVE MSV000092165 - Neocallimastix californiae cellulosome shotgun proteomics
title: Shotgun proteomics of purified cellulosome complexes from cultures of N. californiae grown on cellobiose, filter paper, and reed canary grass