cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5630359
title: Dataset Saminbot un asistente virtual para recolección de datos en tiempos de pandemia del COVID-19 de la ciudad de Cusco-Perú

description: El presente <em>dataset </em>fue recopilado a través de un asistente virtual denominado SaminBot. SaminBot es un Chatbot para recolectar datos en las áreas de salud, economía y educación en la región del Cusco-Perú durante la pandemia ocasionada por el COVID-19. Los archivos publicados son datos brutos, la recolección de datos fue llevada a cabo por medio de cuestionarios (los cuestionarios también se encuentran adjuntos) validados por especialistas y personalizados para los usuarios en cada área respetando la privacidad de los usuarios. Éstos datos fueron recopilados mediante diferentes servicios de mensajería instantánea, como Whatsapp, Facebook Messenger y página web. Fueron recolectados 1586 registros para las tres áreas desde Enero hasta Junio del 2021 mediante una campaña orgánica es decir campaña realizada a través de redes sociales por los autores y una campaña pagada al servicio de red social Facebook de dos semanas. La campaña organica no tuvo éxito ya que llegó a muy pocos usuarios mientras la campaña pagada pudo llegar a una mayor cantidad de usuarios.
DOI: 10.5517/ccdc.csd.cc28hp4m
title: CCDC 2100440: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hp5n
title: CCDC 2100441: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hp6p
title: CCDC 2100442: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hp7q
title: CCDC 2100443: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hp8r
title: CCDC 2100444: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hp9s
title: CCDC 2100445: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hpbt
title: CCDC 2100446: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hpcv
title: CCDC 2100447: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hpdw
title: CCDC 2100448: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hpfx
title: CCDC 2100449: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hpgy
title: CCDC 2100450: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kdv3
title: CCDC 2102105: Experimental Crystal Structure Determination

description: Related Article: Li-Qiu Liu, Jiu-Ling Li, Ying-Chun Wang, Heng-Shan Wang|2021|Results in Chemistry|3|100220|doi:10.1016/j.rechem.2021.100220
DOI: 10.5517/ccdc.csd.cc28kls7
title: CCDC 2102289: Experimental Crystal Structure Determination

description: Related Article: Shuo Geng, Ning Ren, Ying-Ying Zhang, Kun Tang, Jian-Jun Zhang|2022|J.Solid State Chem.|305|122633|doi:10.1016/j.jssc.2021.122633
DOI: 10.5517/ccdc.csd.cc28klv9
title: CCDC 2102291: Experimental Crystal Structure Determination

description: Related Article: Shuo Geng, Ning Ren, Ying-Ying Zhang, Kun Tang, Jian-Jun Zhang|2022|J.Solid State Chem.|305|122633|doi:10.1016/j.jssc.2021.122633
DOI: 10.5517/ccdc.csd.cc28lf3f
title: CCDC 2103074: Experimental Crystal Structure Determination

description: Related Article: Thomas A. Sobiech, Yulong Zhong, Laura S. B. Sánchez, Brice Kauffmann, Jillian K. McGrath, Christina Scalzo, Daniel P. Miller, Ivan Huc, Eva Zurek, Yann Ferrand, Bing Gong|2021|Chem.Commun.|57|11645|doi:10.1039/D1CC05193H
DOI: 10.5517/ccdc.csd.cc28m165
title: CCDC 2103666: Experimental Crystal Structure Determination

description: Related Article: Qiao Li, Yun Cai, Yuanyuan Hu, Hongwei Jin, Fener Chen, Yunkui Liu, Bingwei Zhou|2021|Chem.Commun.|57|11657|doi:10.1039/D1CC04750G
DOI: 10.5517/ccdc.csd.cc28m637
title: CCDC 2103818: Experimental Crystal Structure Determination

description: Related Article: J. P. Shanahan, C. M. Moore, Jeff W. Kampf, N. K. Szymczak|2021|Chem.Commun.|57|11705|doi:10.1039/D1CC04778G
DOI: 10.5517/ccdc.csd.cc28m648
title: CCDC 2103819: Experimental Crystal Structure Determination

description: Related Article: J. P. Shanahan, C. M. Moore, Jeff W. Kampf, N. K. Szymczak|2021|Chem.Commun.|57|11705|doi:10.1039/D1CC04778G
DOI: 10.5517/ccdc.csd.cc28m659
title: CCDC 2103820: Experimental Crystal Structure Determination

description: Related Article: J. P. Shanahan, C. M. Moore, Jeff W. Kampf, N. K. Szymczak|2021|Chem.Commun.|57|11705|doi:10.1039/D1CC04778G
DOI: 10.5517/ccdc.csd.cc28m66b
title: CCDC 2103821: Experimental Crystal Structure Determination

description: Related Article: J. P. Shanahan, C. M. Moore, Jeff W. Kampf, N. K. Szymczak|2021|Chem.Commun.|57|11705|doi:10.1039/D1CC04778G
DOI: 10.25675/10217/180090
title: Climatological record book

description: The tables contain weather/climate data from Fort Collins, CO 1887-2005. From 1872-1980, measurements were taken at Colorado State University Main Campus weather station, which was located at various locations on CSU's main campus. From 1980-2015, the measurements were taken at Mountain States Weather Services Observatory, which was located at two Fort Collins, CO locations.
description: Precipitation, relative humidity, sky cover, temperature, wind and miscellaneous data from the Climatological Record Book.
DOI: 10.25675/10217/180091
title: Climatological record book: miscellaneous meteorological data

description: The tables contain weather/climate data from Fort Collins, CO 1887-2005. From 1872-1980, measurements were taken at Colorado State University Main Campus weather station, which was located at various locations on CSU's main campus. From 1980-2015, the measurements were taken at Mountain States Weather Services Observatory, which was located at two Fort Collins, CO locations.
description: Miscellaneous meteorological data from the Climatological Record Book.
DOI: 10.25675/10217/180092
title: Climatological record book: precipitation

description: The tables contain weather/climate data from Fort Collins, CO 1887-2005. From 1872-1980, measurements were taken at Colorado State University Main Campus weather station, which was located at various locations on CSU's main campus. From 1980-2015, the measurements were taken at Mountain States Weather Services Observatory, which was located at two Fort Collins, CO locations.
description: Precipitation data from the Climatological Record Book.
DOI: 10.25675/10217/180093
title: Climatological record book: relative humidity

description: The tables contain weather/climate data from Fort Collins, CO 1887-2005. From 1872-1980, measurements were taken at Colorado State University Main Campus weather station, which was located at various locations on CSU's main campus. From 1980-2015, the measurements were taken at Mountain States Weather Services Observatory, which was located at two Fort Collins, CO locations.
description: Relative Humidity data from the Climatological Record Book.
DOI: 10.25675/10217/180094
title: Climatological record book: sky cover

description: The tables contain weather/climate data from Fort Collins, CO 1887-2005. From 1872-1980, measurements were taken at Colorado State University Main Campus weather station, which was located at various locations on CSU's main campus. From 1980-2015, the measurements were taken at Mountain States Weather Services Observatory, which was located at two Fort Collins, CO locations.
description: Sky Cover data from the Climatological Record Book.
DOI: 10.25675/10217/180095
title: Climatological record book: temperature

description: The tables contain weather/climate data from Fort Collins, CO 1887-2005. From 1872-1980, measurements were taken at Colorado State University Main Campus weather station, which was located at various locations on CSU's main campus. From 1980-2015, the measurements were taken at Mountain States Weather Services Observatory, which was located at two Fort Collins, CO locations.
description: Temperature data from the Climatological Record Book.
DOI: 10.25675/10217/180096
title: Climatological record book: wind

description: The tables contain weather/climate data from Fort Collins, CO 1887-2005. From 1872-1980, measurements were taken at Colorado State University Main Campus weather station, which was located at various locations on CSU's main campus. From 1980-2015, the measurements were taken at Mountain States Weather Services Observatory, which was located at two Fort Collins, CO locations.
description: Wind data from the Climatological Record Book.
DOI: 10.15468/mhtahu
title: Fauna marina de la costa vasca

description: Pendiente de cargar los datos del Endpoint.
DOI: 10.15468/9krqsb
title: Ornitho.eus

description: Pendiente de cargar los datos del Endpoint.
DOI: 10.3886/e113071v1-100682
title: Replication data for: Trade, Migration, and Productivity: A Quantitative Analysis of China

description: We study how goods- and labor-market frictions affect aggregate labor productivity in China. Combining unique data with a general equilibrium model of internal and international trade, and migration across regions and sectors, we quantify the magnitude and consequences of trade and migration costs. The costs were high in 2000, but declined afterward. The decline accounts for 36 percent of the aggregate labor productivity growth between 2000 and 2005. Reductions in internal trade and migration costs are more important than reductions in external trade costs. Despite the decline, migration costs are still high and potential gains from further reform are large.
DOI: 10.5281/zenodo.5646566
title: Dataset for "Study of 72 pulsars discovered in the PALFA survey: Timing analysis, glitch activity, emission variability, and a pulsar in an eccentric binary"

description: This repository includes TEMPO-readable ephemerides associated with the final timing solutions presented in Table 3 (text-readable format; .par files) of the manuscript, "<em>Study of 72 pulsars discovered in the PALFA survey: Timing analysis, glitch activity, emission variability, and a pulsar in an eccentric binary</em>" accepted to the Astrophysical Journal (October 2021).
description: Upload performed by an AAS Journals Data Editor.
DOI: 10.5281/zenodo.5646565
title: Dataset for "Study of 72 pulsars discovered in the PALFA survey: Timing analysis, glitch activity, emission variability, and a pulsar in an eccentric binary"

description: This repository includes TEMPO-readable ephemerides associated with the final timing solutions presented in Table 3 (text-readable format; .par files) of the manuscript, "<em>Study of 72 pulsars discovered in the PALFA survey: Timing analysis, glitch activity, emission variability, and a pulsar in an eccentric binary</em>" accepted to the Astrophysical Journal (October 2021).
description: Upload performed by an AAS Journals Data Editor.
DOI: 10.5517/ccdc.csd.cc28n65b
title: CCDC 2104781: Experimental Crystal Structure Determination

description: Related Article: Ji-Kun Li, Xing-Yu Chen, Yun-Long Guo, Xin-Chang Wang, Andrew C.-H. Sue, Xiao-Yu Cao, Xiao-Ye Wang|2021|J.Am.Chem.Soc.|143|17958|doi:10.1021/jacs.1c09058
DOI: 10.5517/ccdc.csd.cc28ndn0
title: CCDC 2104982: Experimental Crystal Structure Determination

description: Related Article: Madushani Dharmarwardana, Bhargav S. Arimilli, Gregory T. McCandless, Jeremiah J. Gassensmith|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28n6jp
title: CCDC 2104792: Experimental Crystal Structure Determination

description: Related Article: Kentaro Aoki, Kazuya Otsubo, Yukihiro Yoshida, Yojiro Kimura, Kunihisa Sugimoto, Hiroshi Kitagawa|2021|Inorg.Chem.|60|16029|doi:10.1021/acs.inorgchem.1c02660
DOI: 10.5517/ccdc.csd.cc27n6pt
title: CCDC 2075006: Experimental Crystal Structure Determination

description: Related Article: Mingxue Gao, Yu Tian, Jie Yang, Xiaoning Li, Manman Fang, Zhen Li|2021|J.Mater.Chem.C|9|15375|doi:10.1039/D1TC03460J
DOI: 10.5517/ccdc.csd.cc27n6qv
title: CCDC 2075007: Experimental Crystal Structure Determination

description: Related Article: Mingxue Gao, Yu Tian, Jie Yang, Xiaoning Li, Manman Fang, Zhen Li|2021|J.Mater.Chem.C|9|15375|doi:10.1039/D1TC03460J
DOI: 10.5517/ccdc.csd.cc27n6vz
title: CCDC 2075011: Experimental Crystal Structure Determination

description: Related Article: Mingxue Gao, Yu Tian, Jie Yang, Xiaoning Li, Manman Fang, Zhen Li|2021|J.Mater.Chem.C|9|15375|doi:10.1039/D1TC03460J
DOI: 10.5517/ccdc.csd.cc28yr44
title: CCDC 2113956: Experimental Crystal Structure Determination

description: Related Article: Zhiyong Lu, Liting Du, Ruyong Guo, Guangbao Zhang, Jingui Duan, Jianfeng Zhang, Lin Han, Junfeng Bai, Joseph T. Hupp|2021|J.Am.Chem.Soc.|143|17942|doi:10.1021/jacs.1c08286
DOI: 10.5517/ccdc.csd.cc282y7k
title: CCDC 2088198: Experimental Crystal Structure Determination

description: Related Article: Zhiyong Lu, Liting Du, Ruyong Guo, Guangbao Zhang, Jingui Duan, Jianfeng Zhang, Lin Han, Junfeng Bai, Joseph T. Hupp|2021|J.Am.Chem.Soc.|143|17942|doi:10.1021/jacs.1c08286
DOI: 10.6084/m9.figshare.16934572.v1
title: Supplementary Tables.xlsx

description: These are the supplemental tables of the article submitted to the Frontiers in Plant Science.Genome-wide Association Analysis of Stable Stripe Rust Resistance Loci in a Chinese Wheat Landrace Panel Using the 660K SNP Array<br>Fangjie Yao1, Fangnian Guan1, Luyao Duan1, Li Long1, Hao Tang1, Yunfeng Jiang1, Hao Li1, Qiantao Jiang1, 2, Jirui Wang2, 3, Pengfei Qi1, Houyang Kang1, 2, Wei Li3, Jian Ma1, Zhien Pu3, Mei Deng1, Yuming Wei1, 2, Youliang Zheng1, 2, Xianming Chen4*, and Guoyue Chen1, 2*<br>
DOI: 10.18120/v8v7-ss02
title: Cortical-Basal Ganglia Speech Networks
DOI: 10.6084/m9.figshare.16934581.v1
title: Study Data.xlsx

description: Data from kidney biopsies and kidney tumor resection samples analyzed by pathologists and CNNs.
DOI: 10.6084/m9.figshare.16934581
title: Study Data.xlsx

description: Data from kidney biopsies and kidney tumor resection samples analyzed by pathologists and CNNs.
DOI: 10.5281/zenodo.5646569
title: Cathorops aguadulce RB0598 GRAHAM decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5646568
title: Cathorops aguadulce RB0598 GRAHAM decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5646588
title: globalbioticinteractions/AEC-DBCNet: Collaborative databasing of North American bee collections within a global informatics network project archive

description: Data in this archive are from the <em>Collaborative databasing of North American bee collections within a global informatics network project</em>. Data was originally captured using Arthropod Easy Capture software developed at the American Museum of Natural History (AMNH), New York. Project lead investigators are John Ascher (Principal Investigator) and Jerome Rozen (Co-Principal Investigator) at the AMNH, and Douglas Yanega (Principal Investigator), University of California Riverside. <strong>Please use this citation for this archive: </strong>John Ascher, Digital Bee Collections Network data archive from the C<em>ollaborative databasing of North American bee collections within a global informatics network project</em>. Version: 08 Mar 2016. https://doi.org/10.5281/zenodo.1436853 This project was supported by the National Science Foundation grant DBI 0956388 and DBI 0956340 <strong>ABSTRACT</strong> Natural history collections contain millions of bee specimens documenting the geographic ranges, temporal occurrence patterns, and floral associations of the 20,000 described bee species. This project will digitize and consolidate specimen records from 10 bee collections across the United States. The investigators will make or verify species identifications, capture full label data, georeference and error-check localities, and upload this information to publicly accessible databases. Web-based tools will be used to capture data across collections efficiently, validate bee and plant names through automated comparison with taxonomic authority files, and synthesize data on species pages with images, digitized literature records, and other information about bees and their host plants. Data will be uploaded to the Global Biodiversity Information Facility and to Discover Life (www.discoverlife.org), a website that features customizable global maps for all global bee species and dynamic identification keys for North American species. To obtain information needed to conserve and manage pollinators, the investigators will work with ecologists to model geographic and temporal trends in bee populations in relation to environmental variables. Bees are the most important pollinators of the approximately 1/3 of crops that require animal pollination. Recent declines in honey bee populations highlight the need to understand better the roles of native bees in agricultural and natural systems. This project will help predict risks to bees and their pollination services from climate change, habitat loss, and other factors. The outreach program Bee Hunt (www.discoverlife.org/bee) will educate the public, including students in underserved communities, about bee diversity and the importance of pollination services. Using digital photography and rigorous research protocols, Bee Hunt will empower people at biological field stations, nature centers, parks, schools, and other sites to collect high-quality data to augment information from specimen records.
DOI: 10.5281/zenodo.5646587
title: globalbioticinteractions/AEC-DBCNet: Collaborative databasing of North American bee collections within a global informatics network project archive

description: Data in this archive are from the <em>Collaborative databasing of North American bee collections within a global informatics network project</em>. Data was originally captured using Arthropod Easy Capture software developed at the American Museum of Natural History (AMNH), New York. Project lead investigators are John Ascher (Principal Investigator) and Jerome Rozen (Co-Principal Investigator) at the AMNH, and Douglas Yanega (Principal Investigator), University of California Riverside. <strong>Please use this citation for this archive: </strong>John Ascher, Digital Bee Collections Network data archive from the C<em>ollaborative databasing of North American bee collections within a global informatics network project</em>. Version: 08 Mar 2016. https://doi.org/10.5281/zenodo.1436853 This project was supported by the National Science Foundation grant DBI 0956388 and DBI 0956340 <strong>ABSTRACT</strong> Natural history collections contain millions of bee specimens documenting the geographic ranges, temporal occurrence patterns, and floral associations of the 20,000 described bee species. This project will digitize and consolidate specimen records from 10 bee collections across the United States. The investigators will make or verify species identifications, capture full label data, georeference and error-check localities, and upload this information to publicly accessible databases. Web-based tools will be used to capture data across collections efficiently, validate bee and plant names through automated comparison with taxonomic authority files, and synthesize data on species pages with images, digitized literature records, and other information about bees and their host plants. Data will be uploaded to the Global Biodiversity Information Facility and to Discover Life (www.discoverlife.org), a website that features customizable global maps for all global bee species and dynamic identification keys for North American species. To obtain information needed to conserve and manage pollinators, the investigators will work with ecologists to model geographic and temporal trends in bee populations in relation to environmental variables. Bees are the most important pollinators of the approximately 1/3 of crops that require animal pollination. Recent declines in honey bee populations highlight the need to understand better the roles of native bees in agricultural and natural systems. This project will help predict risks to bees and their pollination services from climate change, habitat loss, and other factors. The outreach program Bee Hunt (www.discoverlife.org/bee) will educate the public, including students in underserved communities, about bee diversity and the importance of pollination services. Using digital photography and rigorous research protocols, Bee Hunt will empower people at biological field stations, nature centers, parks, schools, and other sites to collect high-quality data to augment information from specimen records.
DOI: 10.17632/c23mswd3dv.1
title: Do pandemic news and government measures affect the returns from banking and financial sector stocks? Evidence from an emerging market

description: The data contains closing prices and log-returns of 37 banking and financial services stocks for the period January 2019 to January 2021. It also contains the closing prices and log-returns of three sectoral indices, viz., NIFTY PSU Bank Index components (12), NIFTY Private Bank Index components (10) & NIFTY Financial Services Index (15)).  We collected the data from the NSE Website. The banks/firms with regular trading history and those having a sufficient number of trading days as per our estimation and event window have been included in the sample. We calculate the daily returns using the formula LN[(Ct-1)/Ct] in excel.
DOI: 10.17632/gcdpsxd6d5.1
title: Landscape of human factors for SARS-CoV-2 infection identified by a genome-wide RNAi screening

description: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can cause acute respiratory distress and multiorgan failure. Finding human host factors that are essential for SARS-CoV-2 infection could facilitate formulation of treatment strategies. Herein, using a human kidney cell line—HK-2—that is highly susceptible to SARS-CoV-2 infection, we performed a genome-wide RNAi screening and identified virus dependency factors which play regulatory roles in biological pathways linked to clinical manifestations that are associated with the SARS-CoV-2 infection.
DOI: 10.17632/xv2x29cnhx.1
title: Comparing the Utility of Shore Platform Elevations As Sea Level Proxies in Temperate, Microtidal Environments

description: Measurements of shore platforms identified and mapped along the subaerial, contemporary coast of Victoria, Australia, as well as paleo shore platforms discovered and mapped roughly 50 m below modern sea level. These data were used to measure shore platform elevation as a proxy for sea level at the time of platform formation.