cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4134880
title: Dataset for paper entitled "Developing Reliable Foam Sensors with Novel Electrodes"

description: This dataset includes all the experimental results presented in the IEEE Sensors 2019 paper "Developing Reliable Foam Sensors with Novel Electrodes" (DOI: 10.1109/SENSORS43011.2019.8956750).<br> URL of IEEE Xplore:<br> https://ieeexplore.ieee.org/document/8956750 List of data in this dataset:<br> Fig-1-Stress-Strain curves of PU foam and Coated foam.xlsx<br> Fig-3-Conductive foam without electrodes.xlsx<br> Fig-4-Foam sensor with Ag electrodes.xlsx<br> Fig-5-Foam sensor-stability-100cycles.xlsx All the data included in this dataset were collected by Dr. Hongbo Wang. Contact person:<br> Dr. Hongbo Wang, ustcwhb@gmail.com
description: This dataset includes all the experimental results presented in the IEEE Sensors 2019 paper "Developing Reliable Foam Sensors with Novel Electrodes" (DOI: 10.1109/SENSORS43011.2019.8956750).
DOI: 10.34740/kaggle/dsv/1594981
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.21227/hpe0-4m19
title: C-Model 1

description: C-Model 1
DOI: 10.6073/pasta/3ffd6212b3c446cefcf6becaed9d6d5d
title: Forest tree, woody debris, and soil inventory data from long-term research plots for LTREB at the University of Michigan Biological Station

description: Disturbances to forests, such as logging or wildfires, typically lead to large losses of carbon and nutrients from both the plants and soils of the ecosystem. Virtually all forests are in some state of recovery from such disturbances, whether caused naturally or by humans. Knowledge of the time required for a forest to recover its original amounts of carbon and nutrients after a disturbance is not complete, nor is an understanding of how regrowing plants, recovering soils and the year to year variation in climate interact to control recovery as a forest ages. This project takes advantage of long existing research plots in forests at the University of Michigan Biological Station to figure out how changes in forest structure, carbon and nitrogen contents of the forests, and variations in climate act together through time to influence how fast trees grow, nitrogen is retained, and carbon is captured and stored in forests. Scientists and students will make regular measurements of the types of trees, their stem sizes and mass, their patterns of leaf arrangement, the amounts of carbon and nitrogen in soils, and other factors in five forest that were cut and burned in 1936, 1948, 1954, 1980, and 1998 and so today range from 20 years to 120 years old. Several nearby much older forests will also be sampled. This will let the project link disturbances, climate and ecology for forests that are broadly representative of those across the northern United States, Canada, Europe and Asia.
DOI: 10.5519/qd.zb7swlbn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.13142879
title: R0311_20191203a_videos

description: Rat 0311, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13142879.v1
title: R0311_20191203a_videos

description: Rat 0311, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.3533038
title: Result data related to "Tröndle et al (2019) -- Home-made or imported: on the possibility for renewable electricity autarky on all scales in Europe"

description: The files include results to out study investigating the possibility for renewable electricity autarky in Europe. For each administrative unit on the continental, national, regional, and municipal levels these files include: Name, country, population, current electricity demand, land cover statistics, shared coast with exclusive economic zone Potential in terms of area [km2], installable capacity [MW], annual electricity yield [TWh] If you use this data in an academic publication, please cite the following article: Tröndle, T., Pfenninger, S., & Lilliestam, J. (2019). Home-made or imported: on the possibility for renewable electricity autarky on all scales in Europe. <em>Energy Strategy Reviews</em>, <em>26</em>. CHANGELOG: Version 2 (2019-11-08) * Add land cover statistics for each unit.
DOI: 10.5523/bris.888ie5jfdtga2nk7sojbrseed
title: Data supporting paper 'Drying Kinetics and Particle Formation from Dilute Colloidal Suspensions in Aerosol Droplets'

description: The hygroscopic properties of aerosol govern the response of aerosol particle size and composition to the relative humidity of the gas phase. The data sets in this project are accumulated from single particle measurements of hygroscopic response made at the Bristol Aerosol Research Centre.
DOI: 10.5523/bris.c4w8vwn8xfr2kozw9k8lb7o1
title: High Interfacial Hole-Transfer Efficiency at GaFeO3 Thin Film Photoanodes

description: Data associated with the article entitled: 'High Interfacial Hole-Transfer Efficiency at GaFeO3 Thin Film Photoanodes' published in the journal Advanced Energy Materials DO: 10.1002/aenm.202002784I
DOI: 10.5281/zenodo.4133832
title: Reanalysis of the 2000 Rift Valley fever outbreak in Southwestern Arabia

description: The first documented Rift Valley hemorrhagic fever outbreak in the Arabian Peninsula occurred in northwestern Yemen and southwestern Saudi Arabia from August 2000 to September 2001. This Rift Valley fever outbreak is unique because the virus was introduced into Arabia during or after the 1997-1998 East African outbreak and before August 2000, either by wind-blown infected mosquitos or by infected animals, both from East Africa. A wet period from August 2000 into 2001 resulted in a large number of amplification vector mosquitoes, these mosquitos fed on infected animals, and the outbreak occurred. More than 1,500 people were diagnosed with the disease, at least 215 died, and widespread losses of domestic animals were reported. Using a combination of satellite data products, including 2 x 2 m digital elevation images derived from commercial satellite data, we show rainfall and potential areas of inundation or water impoundment were favorable for the 2000 outbreak. However, favorable conditions for subsequent outbreaks were present in 2007 and 2013, and very favorable conditions were also present in 2016-2018. The lack of subsequent Rift Valley fever outbreaks in this area suggests that Rift Valley fever has not been established in mosquito species in Southwest Arabia, or that strict animal import inspection and quarantine procedures, medical and veterinary surveillance, and mosquito control efforts put in place in Saudi Arabia following the 2000 outbreak have been successful. Any area with Rift Valley fever amplification vector mosquitos present is a potential outbreak area unless strict animal import inspection and quarantine procedures are in place.
DOI: 10.5281/zenodo.4133831
title: Reanalysis of the 2000 Rift Valley fever outbreak in Southwestern Arabia

description: The first documented Rift Valley hemorrhagic fever outbreak in the Arabian Peninsula occurred in northwestern Yemen and southwestern Saudi Arabia from August 2000 to September 2001. This Rift Valley fever outbreak is unique because the virus was introduced into Arabia during or after the 1997-1998 East African outbreak and before August 2000, either by wind-blown infected mosquitos or by infected animals, both from East Africa. A wet period from August 2000 into 2001 resulted in a large number of amplification vector mosquitoes, these mosquitos fed on infected animals, and the outbreak occurred. More than 1,500 people were diagnosed with the disease, at least 215 died, and widespread losses of domestic animals were reported. Using a combination of satellite data products, including 2 x 2 m digital elevation images derived from commercial satellite data, we show rainfall and potential areas of inundation or water impoundment were favorable for the 2000 outbreak. However, favorable conditions for subsequent outbreaks were present in 2007 and 2013, and very favorable conditions were also present in 2016-2018. The lack of subsequent Rift Valley fever outbreaks in this area suggests that Rift Valley fever has not been established in mosquito species in Southwest Arabia, or that strict animal import inspection and quarantine procedures, medical and veterinary surveillance, and mosquito control efforts put in place in Saudi Arabia following the 2000 outbreak have been successful. Any area with Rift Valley fever amplification vector mosquitos present is a potential outbreak area unless strict animal import inspection and quarantine procedures are in place.
DOI: 10.5517/ccdc.csd.cc23rfjv
title: CCDC 1958937: Experimental Crystal Structure Determination

description: Related Article: Manuel A. Ramos-Enrı́quez, Abraham Colin-Molina, Marcos Flores-Álamo, Braulio Rodríguez-Molina, Martín A. Iglesias-Arteaga|2020|Cryst.Growth Des.|20|6649|doi:10.1021/acs.cgd.0c00808
DOI: 10.5517/ccdc.csd.cc23rfkw
title: CCDC 1958938: Experimental Crystal Structure Determination

description: Related Article: Manuel A. Ramos-Enrı́quez, Abraham Colin-Molina, Marcos Flores-Álamo, Braulio Rodríguez-Molina, Martín A. Iglesias-Arteaga|2020|Cryst.Growth Des.|20|6649|doi:10.1021/acs.cgd.0c00808
DOI: 10.5517/ccdc.csd.cc23rflx
title: CCDC 1958939: Experimental Crystal Structure Determination

description: Related Article: Manuel A. Ramos-Enrı́quez, Abraham Colin-Molina, Marcos Flores-Álamo, Braulio Rodríguez-Molina, Martín A. Iglesias-Arteaga|2020|Cryst.Growth Des.|20|6649|doi:10.1021/acs.cgd.0c00808
DOI: 10.5517/ccdc.csd.cc23rfmy
title: CCDC 1958940: Experimental Crystal Structure Determination

description: Related Article: Manuel A. Ramos-Enrı́quez, Abraham Colin-Molina, Marcos Flores-Álamo, Braulio Rodríguez-Molina, Martín A. Iglesias-Arteaga|2020|Cryst.Growth Des.|20|6649|doi:10.1021/acs.cgd.0c00808
DOI: 10.5517/ccdc.csd.cc23rfnz
title: CCDC 1958941: Experimental Crystal Structure Determination

description: Related Article: Manuel A. Ramos-Enrı́quez, Abraham Colin-Molina, Marcos Flores-Álamo, Braulio Rodríguez-Molina, Martín A. Iglesias-Arteaga|2020|Cryst.Growth Des.|20|6649|doi:10.1021/acs.cgd.0c00808
DOI: 10.5517/ccdc.csd.cc23rfp0
title: CCDC 1958942: Experimental Crystal Structure Determination

description: Related Article: Manuel A. Ramos-Enrı́quez, Abraham Colin-Molina, Marcos Flores-Álamo, Braulio Rodríguez-Molina, Martín A. Iglesias-Arteaga|2020|Cryst.Growth Des.|20|6649|doi:10.1021/acs.cgd.0c00808
DOI: 10.5517/ccdc.csd.cc23rfq1
title: CCDC 1958943: Experimental Crystal Structure Determination

description: Related Article: Manuel A. Ramos-Enrı́quez, Abraham Colin-Molina, Marcos Flores-Álamo, Braulio Rodríguez-Molina, Martín A. Iglesias-Arteaga|2020|Cryst.Growth Des.|20|6649|doi:10.1021/acs.cgd.0c00808
DOI: 10.5517/ccdc.csd.cc23rfr2
title: CCDC 1958944: Experimental Crystal Structure Determination

description: Related Article: Manuel A. Ramos-Enrı́quez, Abraham Colin-Molina, Marcos Flores-Álamo, Braulio Rodríguez-Molina, Martín A. Iglesias-Arteaga|2020|Cryst.Growth Des.|20|6649|doi:10.1021/acs.cgd.0c00808
DOI: 10.5517/ccdc.csd.cc24bk35
title: CCDC 1976346: Experimental Crystal Structure Determination

description: Related Article: Hai-Feng Yao, Dian-Liang Wang, Fang-Hui Li, Bing Wu, Zhong-Jian Cai, Shun-Jun Ji|2020|Org.Biomol.Chem.|18|7577|doi:10.1039/D0OB01517B
DOI: 10.5517/ccdc.csd.cc24p376
title: CCDC 1986487: Experimental Crystal Structure Determination

description: Related Article: Wolfram Feuerstein, Frank Breher|2020|Chem.Commun.|56|12589|doi:10.1039/D0CC04065G
DOI: 10.5517/ccdc.csd.cc24p3b9
title: CCDC 1986490: Experimental Crystal Structure Determination

description: Related Article: Wolfram Feuerstein, Frank Breher|2020|Chem.Commun.|56|12589|doi:10.1039/D0CC04065G
DOI: 10.5517/ccdc.csd.cc24w5w3
title: CCDC 1992335: Experimental Crystal Structure Determination

description: Related Article: Ryoko Sakagami, Yuuki Saito, Ryuichi Mori, Misa Satake, Misaki Okayasu, Shoko Kikkawa, Hidemasa Hikawa, Isao Azumaya|2020|RSC Advances|10|34549|doi:10.1039/D0RA07060B
DOI: 10.5517/ccdc.csd.cc24w5x4
title: CCDC 1992336: Experimental Crystal Structure Determination

description: Related Article: Ryoko Sakagami, Yuuki Saito, Ryuichi Mori, Misa Satake, Misaki Okayasu, Shoko Kikkawa, Hidemasa Hikawa, Isao Azumaya|2020|RSC Advances|10|34549|doi:10.1039/D0RA07060B
DOI: 10.5517/ccdc.csd.cc253ymw
title: CCDC 1999798: Experimental Crystal Structure Determination

description: Related Article: G. Kauric, O. Walter, A. Beck, B. Schacherl, O. Dieste Blanco, J.-F. Vigier, E. Zuleger, T. Vitova, K. Popa|2020|Materials Today Advances|8|100105|doi:10.1016/j.mtadv.2020.100105
description: Related Article: Guilhem Kauric, Olaf Walter, Aaron Beck, Bianca Schacherl, Oliver Dieste Blanco, Jean-François Vigier, Evelyn Zuleger, Tonya Vitova, Karin Popa|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hqs6
title: CCDC 2011118: Experimental Crystal Structure Determination

description: Related Article: Faizal Khan, Ervinas Urbonas, Dmytro Volyniuk, Juozas V. Grazulevicius, Shaikh M. Mobin, Rajneesh Misra|2020|J.Mater.Chem.C|8|13375|doi:10.1039/D0TC03136D
DOI: 10.5517/ccdc.csd.cc25nqp8
title: CCDC 2015920: Experimental Crystal Structure Determination

description: Related Article: Can Zhao, Ijaz Khan, Yong Jian Zhang|2020|Chem.Commun.|56|12431|doi:10.1039/D0CC05640E
DOI: 10.5517/ccdc.csd.cc25nqq9
title: CCDC 2015921: Experimental Crystal Structure Determination

description: Related Article: Can Zhao, Ijaz Khan, Yong Jian Zhang|2020|Chem.Commun.|56|12431|doi:10.1039/D0CC05640E
DOI: 10.5517/ccdc.csd.cc25pn1l
title: CCDC 2016799: Experimental Crystal Structure Determination

description: Related Article: Jana Lücken, Thomas Auth, Sara Ida Mozzi, Franc Meyer|2020|Inorg.Chem.|59|14347|doi:10.1021/acs.inorgchem.0c02126
DOI: 10.5517/ccdc.csd.cc25pn2m
title: CCDC 2016800: Experimental Crystal Structure Determination

description: Related Article: Jana Lücken, Thomas Auth, Sara Ida Mozzi, Franc Meyer|2020|Inorg.Chem.|59|14347|doi:10.1021/acs.inorgchem.0c02126
DOI: 10.5517/ccdc.csd.cc25pn3n
title: CCDC 2016801: Experimental Crystal Structure Determination

description: Related Article: Jana Lücken, Thomas Auth, Sara Ida Mozzi, Franc Meyer|2020|Inorg.Chem.|59|14347|doi:10.1021/acs.inorgchem.0c02126
DOI: 10.5517/ccdc.csd.cc25rzc9
title: CCDC 2019041: Experimental Crystal Structure Determination

description: Related Article: Heng Tan, Ruhima Khan, Dandan Xu, Yongyun Zhou, Xuexin Zhang, Guangrui Shi, Baomin Fan|2020|Chem.Commun.|56|12570|doi:10.1039/D0CC05374K
DOI: 10.5517/ccdc.csd.cc24x73f
title: CCDC 1993334: Experimental Crystal Structure Determination

description: Related Article: Joseph R. Yount, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2020|J.Mater.Chem.A|8|19337|doi:10.1039/D0TA05360K
DOI: 10.5517/ccdc.csd.cc25vft9
title: CCDC 2021411: Experimental Crystal Structure Determination

description: Related Article: Peng Zhao, Xiao-Xiao Yu, You Zhou, Chun Huang, Yan-Dong Wu, Yan-Ping Zhu, An-Xin Wu|2020|Chem.Commun.|56|12554|doi:10.1039/D0CC05363E
DOI: 10.5517/ccdc.csd.cc25vfvb
title: CCDC 2021412: Experimental Crystal Structure Determination

description: Related Article: Peng Zhao, Xiao-Xiao Yu, You Zhou, Chun Huang, Yan-Dong Wu, Yan-Ping Zhu, An-Xin Wu|2020|Chem.Commun.|56|12554|doi:10.1039/D0CC05363E
DOI: 10.5281/zenodo.4032836
title: CysLT2R_6RZ6

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.5281/zenodo.3566232
title: CysLT2R_6RZ6

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.21227/3kf1-3j80
title: PLA and PLA+cellulose containing dropelets

description: See our next articles.
DOI: 10.21227/dce5-7c71
title: PLA and PLA+cellulose containing dropelets

description: See our next articles.
DOI: 10.5281/zenodo.4032837
title: CysLT2R_6RZ7

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.5281/zenodo.3569742
title: CysLT2R_6RZ7

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.5281/zenodo.4032840
title: CysLT2R_6RZ8

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.5281/zenodo.3566174
title: CysLT2R_6RZ8

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.5281/zenodo.4032841
title: CysLT2R_6RZ9

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.5281/zenodo.3565249
title: CysLT2R_6RZ9

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.5281/zenodo.4032826
title: CysLT1R_6RZ4

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.5281/zenodo.3569744
title: CysLT1R_6RZ4

description: Serial small-wedge crystallography dataset, associated with the publication: Marin et al, "Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs"
DOI: 10.5281/zenodo.4135006
title: Voluntary and Involuntary Attention MEG dataset

description: The details of the presented stimuli are described in https://doi.org/10.1101/2020.02.18.953653. Shortly, a second version of the dataset will be uploaded with a better explanation of the data corresponding to a peer-reviewed publication utilising the data.
DOI: 10.5281/zenodo.4135005
title: Voluntary and Involuntary Attention MEG dataset

description: The details of the presented stimuli are described in https://doi.org/10.1101/2020.02.18.953653. Shortly, a second version of the dataset will be uploaded with a better explanation of the data corresponding to a peer-reviewed publication utilising the data.
DOI: 10.21227/f2ma-gr41
title: PHB + hydroxyethyl methacrylate (CAS 868-77-9, EINECS 212-782-2) [included hydrated and rolled substance samples]

description: See our next articles.
DOI: 10.21227/9pe2-kv29
title: PHB + hydroxyethyl methacrylate (CAS 868-77-9, EINECS 212-782-2) [included hydrated and rolled substance samples]

description: See our next articles.
DOI: 10.15468/kb4qbt
title: A revision of the Maechidiini Burmeister, 1855 (Coleoptera: Scarabaeidae: Melolonthinae) from the Indo-Australian transition zone, and the first record of the tribe west of Wallace’s Line

description: This dataset contains the digitized treatments in Plazi based on the original journal article Telnov, Dmitry (2020): A revision of the Maechidiini Burmeister, 1855 (Coleoptera: Scarabaeidae: Melolonthinae) from the Indo-Australian transition zone, and the first record of the tribe west of Wallace’s Line. European Journal of Taxonomy 721: 1-210, DOI: https://doi.org/10.5852/ejt.2020.721.1127
DOI: 10.6084/m9.figshare.11527962
title: Altmetrics and Open Access Books and Chapters

description: Data drawn from Mendeley, Altmetric and Dimensions to analyse any open access advantage for scholarly books and chapters, in various fields in Humanities and Social Sciences. <br><br>Paper published in Scientometrics journal, September 2020<br>https://doi.org/10.1007/s11192-020-03735-8
DOI: 10.21227/g9d0-1056
title: HAP-PHB samples: films and poders

description: See our next articles.
DOI: 10.21227/wvfg-6332
title: HAP-PHB samples: films and poders

description: See our next articles.
DOI: 10.21227/atma-mx53
title: HAP-PHB samples: films and powders

description: See our next articles.
DOI: 10.5281/zenodo.3954406
title: Biodiversidata vascular plant occurrence records from Uruguay

description: As part of the second phase of the Biodiversidata initiative, we present the first comprehensive open-access species-level database of the vascular plant diversity recorded in Uruguay to date (i.e.: all species for which data is currently available and species presence has been confirmed). It contains 12,470 occurrence records from across 1,648 species and 160 families, which roughly represents 60% of the total recorded flora of Uruguay. The primary biodiversity data include extant native and introduced species from the lycophytes, ferns, gymnosperms, and angiosperms groups. Records were collated from multiple sources including data available in the peer-reviewed scientific literature, institutional scientific collections, and datasets contributed by members of the Biodiversidata initiative.
description: Biodiversidata is a collaborative association of experts with the aim of assembling a constantly growing database for Uruguay's biodiversity. The initiative was launched in 2018 under the direction of Florencia Grattarola as part of her PhD project at the University of Lincoln in partnership with the MacroBiodiversity Lab at Queen's University Belfast (UK), led by Daniel Pincheira-Donoso. Its open-access platform (https://biodiversidata.org/) aims to make the biodiversity data of Uruguay openly available by integrating a broad range of resources including databases, publications, maps, reports and infographics, derived from the work of the team of expert scientific members. Current funds for developing Biodiversidata are conditioned to Grattarola's PhD project concluding in December 2020. The database presented in this study will continue to be improved and updated with new records periodically (yearly). Members of the Biodiversidata Consortium: Florencia Grattarola, Germán Botto, Arley Camargo, Laura Capuccio, Inés da Rosa, César Fagúndez, Noelia Gobel, Andrés González, Enrique M. González, Javier González, Daniel Hernández, Gabriel Laufer, Patricia Mai, Raúl Maneyro, María Martínez, Juan A. Martínez-Lanfranco, Daniel E. Naya, Ana L. Rodales, Florencia Rossi, Mateo Senseber, Franco Teixeira de Mello, Lucía Urtado, Lucía Ziegler and Daniel Pincheira-Donoso.