cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5132955
title: SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing

description: Data sharing restrictions are common in NLP datasets. For example, Twitter policies do not allow sharing of tweet text, though tweet IDs may be shared. The situation is even more common in clinical NLP, where patient health information must be protected, and annotations over health text, when released at all, often require the signing of complex data use agreements. The SemEval-2021 Task 10 framework asks participants to develop semantic annotation systems in the face of data sharing constraints. A participant's goal is to develop an accurate system for a target domain when annotations exist for a related domain but cannot be distributed. Instead of annotated training data, participants are given a model trained on the annotations. Then, given unlabeled target domain data, they are asked to make predictions. Website: https://machine-learning-for-medical-language.github.io/source-free-domain-adaptation/ CodaLab site: https://competitions.codalab.org/competitions/26152 Github repository: https://github.com/Machine-Learning-for-Medical-Language/source-free-domain-adaptation
DOI: 10.18739/a2vt1gq56
title: SOnic Detection And Ranging (SODAR) measurements taken at Summit Station, Greenland - Arctic Observing Network program

description: This data set contains measurements from a sodar that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This sodar operates at 2100 Hz and points vertically. Reflectivity measurements from the system are used to characterize gradients in the lower atmosphere that provide information on the boundary layer depth. Data files including the relative backscatter. Detailed information on file parameters and other aspects of the dataset are included in the netCDF header information for each file. The sodar is owned by the National Oceanic and Atmospheric Administrations's Earth System Research Laboratory. Field operations are supported by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.5066/p9y7slb6
title: Tops file for the Mowry Shale and associated strata in the Wind River Basin, Wyoming

description: The Wind River Basin is a structural and sedimentary basin that formed during the Laramide orogeny in latest Cretaceous and early Eocene time. The basin encompasses about 7,400 square miles in central Wyoming and is bounded by the Washakie, Owl Creek and Bighorn uplifts on the north, the Casper arch on the east, the Granite Mountains uplift on the south, and Wind River uplift on the west (fig. 1). Many important conventional and unconventional oil and gas resources have been discovered and produced from reservoirs ranging from Mississippian through Tertiary in age (Keefer, 1969; Fox and Dolton, 1989, 1996; De Bruin, 1993; Johnson and others, 1996, 2007). It has been suggested by numerous authors (Geis, 1923; Schrayer and Zarrella, 1963, 1966, 1968; Meissner and others, 1984; Burtner and Warner, 1984; Surdam and others, 2010) that the Mowry Shale is an important source rock for many of these accumulations. With new drilling and well completion technologies the Mowry Shale is considered an important (unconventional) shale gas and shale oil objective in other Rocky Mountain basins (Sterling and others, 2009; Surdam and others, 2010). In the Wind River Basin, the Mowry Shale is composed of organic-rich mudrocks, bentonites, and siltstones (Kirschbaum and others, 2019) (fig. 2). Please see supplemental information for associated references. Selected figures have also been included to help describe this data release. These figures are provided in JPEG format. These include: Fig1_Rocky Mountain basins.jpg. Map of Rocky Mountain region showing locations of Laramide sedimentary and structural basins and intervening uplifts. Fig2_Xsection.jpg. U.S Geological Survey Alcova Reservoir AR-1-13 core hole showing lithology, and comparison to gamma ray and conductivity logs. From Kirschbaum and others, 2019 Please see data dictionary sheet in the excel file for detailed table column/attribute information.
DOI: 10.18739/a2hh6c64f
title: Micropulse lidar (MPL) measurements taken at Summit Station, Greenland - Arctic Observing Network program

description: This data set contains measurements from a MicroPulse LIDAR (MPL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LIDAR is owned by the US Department of Energy's Atmospheric Radiation Measurement (ARM) Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.5519/qd.uuharzso
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.18739/a26w96979
title: Cloud and Aerosol Polarization and Backscatter LiDAR measurements taken at Summit Station, Greenland - Arctic Observing Network program

description: This data set contains measurements from a Cloud and Aerosol Polarization and Backscatter LiDAR (CAPABL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This LiDAR points near-vertically and measures backscatter in three polarization states. Parameters include: backscatter in the parallel channel, the depolarization ratio, and the diattenuation. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LiDAR is owned by the National Oceanic and Atmospheric Administration's Earth System Research Laboratory. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a24746s1m
title: Cloud and Aerosol Polarization and Backscatter LiDAR measurements taken at Summit Station, Greenland - Arctic Observing Network program

description: This data set contains measurements from a Cloud and Aerosol Polarization and Backscatter LiDAR (CAPABL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This LiDAR points near-vertically and measures backscatter in three polarization states. Parameters include: backscatter in the parallel channel, the depolarization ratio, and the diattenuation. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LiDAR is owned by the National Oceanic and Atmospheric Administration's Earth System Research Laboratory. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a2js9h846
title: Integrated Characterization of Energy, Clouds, Atmospheric State, and Precipitation at Summit (ICECAPS)

description: This award supports a field campaign that will expand the Arctic Observing Network (AON) by adding cloud, atmosphere, and precipitation measurements, and associated higher-order data products, to Summit, Greenland, at the top of the Greenland Ice Sheet. The proposed instrument suite consists of a cloud radar, two microwave radiometers, an Atmospheric Emitted Radiance Interferometer, an X-band precipitation sensor, a ceilometer, a micropulse lidar, and a twice-daily radiosonde program. Measurements from this advanced suite of instruments, combined with some ongoing measurements at Summit, will be input for a number of algorithms to produce climatically useful geophysical data products to support GIS-specific and Arctic-wide research. Data products will include: (1) Atmospheric State - temperature and moisture profiles through the troposphere and lower stratosphere; (2) Cloud Macrophysics - cloud occurrence, vertical boundaries, and temperatures; (3) Cloud Microphysics - cloud phase, water content, optical depth, and particle size; (4) Precipitation - precipitation type and rate; and (5) Cloud Radiative Forcing - impact of clouds on the surface radiation balance. Together these products will augment similar data sets that are produced at other locations across the Arctic.
DOI: 10.24431/rw1k5af
title: ASGARD POC fluxes, Mooring N6, Arctic Integrated Ecosystem Research Program, 2017 - 2018

description: These data are part of the ASGARD component of the Arctic Integrated Ecosystem Research Program (IERP), sponsored by the North Pacific Research Board (NPRB), Collaborative Alaskan Arctic Studies Program (formerly the North Slope Borough/Shell Baseline Studies Program), Bureau of Ocean Energy Management (BOEM), and the Office of Naval Research Marine Mammals and Biology Program. This data is from mooring N6 where Hydrobios 24 cup sediment traps were deployed from June 2017 to June 2018. These data show a timeline of POC flux from these two locations.
DOI: 10.24431/rw1k5ag
title: ASGARD POC fluxes, Mooring N4 Arctic Integrated Ecosystem Research Program, 2017 - 2019

description: These data are part of the ASGARD component of the Arctic Integrated Ecosystem Research Program (IERP), sponsored by the North Pacific Research Board (NPRB), Collaborative Alaskan Arctic Studies Program (formerly the North Slope Borough/Shell Baseline Studies Program), Bureau of Ocean Energy Management (BOEM), and the Office of Naval Research Marine Mammals and Biology Program. This data is from mooring N4 where Hydrobios 24 cup sediment traps were deployed from June 2017 to June 2019. These data show a timeline of POC flux, total particulate matter flux, chlorophyll A flux, intact diatom cell flux, diatom species specific cell flux, copepod species specific flux, copepod nauplii specific flux, and meroplankton flux from these two locations.
DOI: 10.24431/rw1k5ah
title: Sequential sediment trap data for Chukchi Ecosystem Observatory (CEO)

description: This dataset is provided as 2 CSV files containing export fluxes measured using a sequential multi-sediment trap (Hydro-Bios) deployed on a subsurface mooring at the Chukchi Ecosystem Observatory (CEO) on the NE Chukchi Sea continental shelf in 2015-2016 and 2018-2019. Sequential sediment traps are key tools to detect change in the biogeochemical and ecological functioning of marine ecosystems as they collect sinking particles that reflect biological processes occurring in surface waters over a long period. The mooring observatory is located on the southern flank of Hanna Shoal, 70 miles offshore, at 71.6 °N and 161.5 °W. The parameters measured and presented in the files include fluxes of total particulate matter (TPM), particulate organic carbon (POC), chlorophyll a (Chl a), fecal pellet carbon (FPC), diatoms, copepods and copepod nauplii, and meroplankton.
DOI: 10.5281/zenodo.4552830
title: Coupling charge and topological reconstructions at polar oxide interfaces

description: Dataset corresponding to the publication 'Coupling charge and topological reconstructions at polar oxide interfaces' (arXiv:2107.03359).
DOI: 10.5517/ccdc.csd.cc23rywq
title: CCDC 1959444: Experimental Crystal Structure Determination

description: Related Article: Shujun Li, Yue Zhao, Sebastian Knoll, Rongji Liu, Gang Li, Qingpo Peng, Pengtao Qiu, Danfeng He, Carsten Streb, Xuenian Chen|2021|Angew.Chem.,Int.Ed.|60|16953|doi:10.1002/anie.202104886
DOI: 10.5517/ccdc.csd.cc27kd7g
title: CCDC 2072295: Experimental Crystal Structure Determination

description: Related Article: Mara Di Filippo, Cristina Trujillo, Goar Sánchez-Sanz, Andrei S. Batsanov, Marcus Baumann|2021|Chemical Science|12|9895|doi:10.1039/D1SC02879K
DOI: 10.5517/ccdc.csd.cc27kd8h
title: CCDC 2072296: Experimental Crystal Structure Determination

description: Related Article: Mara Di Filippo, Cristina Trujillo, Goar Sánchez-Sanz, Andrei S. Batsanov, Marcus Baumann|2021|Chemical Science|12|9895|doi:10.1039/D1SC02879K
DOI: 10.5517/ccdc.csd.cc27llp4
title: CCDC 2073456: Experimental Crystal Structure Determination

description: Related Article: Kai Wang, Ziye Liu, Guangyang Xu, Ying Shao, Shengbiao Tang, Ping Chen, Xinhao Zhang, Jiangtao Sun|2021|Angew.Chem.,Int.Ed.|60|16942|doi:10.1002/anie.202104708
DOI: 10.5517/ccdc.csd.cc27nsyn
title: CCDC 2075572: Experimental Crystal Structure Determination

description: Related Article: Yan Zhang, Chanchan Ma, Julia Struwe, Jian Feng, Gangguo Zhu, Lutz Ackermann|2021|Chemical Science|12|10092|doi:10.1039/D1SC02682H
DOI: 10.5517/ccdc.csd.cc27ry87
title: CCDC 2078589: Experimental Crystal Structure Determination

description: Related Article: Sehye Min, Jonghoon Choi, Changho Yoo, Peter M. Graham, Yunho Lee|2021|Chemical Science|12|9983|doi:10.1039/D1SC02210E
DOI: 10.5517/ccdc.csd.cc27sppf
title: CCDC 2079315: Experimental Crystal Structure Determination

description: Related Article: Xia Zhong, Jiuqi Tan, Jianglin Qiao, Yuqiao Zhou, Cidan Lv, Zhishan Su, Shunxi Dong, Xiaoming Feng|2021|Chemical Science|12|9991|doi:10.1039/D1SC02681J
DOI: 10.5517/ccdc.csd.cc289mgp
title: CCDC 2094622: Experimental Crystal Structure Determination

description: Related Article: Yuyang Zhang, Qin Zhou, Yingcui Bu, Tianren Xu, Xiaojiao Zhu, Jie Zhang, Zhipeng Yu, Lianke Wang, Feng Zhong, Hongping Zhou|2021|Anal.Chim.Acta|1178|338847|doi:10.1016/j.aca.2021.338847
DOI: 10.5517/ccdc.csd.cc28cvyg
title: CCDC 2096776: Experimental Crystal Structure Determination

description: Related Article: Yana Radchenko, Shrouq Mujahed, Sanaa Musa, Dmitri Gelman|2021|Inorg.Chim.Acta|521|120350|doi:10.1016/j.ica.2021.120350
DOI: 10.5517/ccdc.csd.cc211dr8
title: CCDC 1878189: Experimental Crystal Structure Determination

description: Related Article: Z. Atioğlu, M. Akkurt, N.Q. Shikhaliyev, U.F. Askerova, A.A. Niyazova, S. Mlowe|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|829|doi:10.1107/S2056989021007349
DOI: 10.5281/zenodo.5121722
title: Dataset: Effect of decynium-22 on zebrafish anxiety-like behavior

description: Data for the research project "Effect of decynium-22 on zebrafish anxiety-like behavior", collected at Laboratório de Neurociências e Comportamento "Frederico Guilherme Graeff", Faculdade de Psicologia, Universidade Federal do Sul e Sudeste do Pará.
DOI: 10.5281/zenodo.5121721
title: Dataset: Effect of decynium-22 on zebrafish anxiety-like behavior

description: Data for the research project "Effect of decynium-22 on zebrafish anxiety-like behavior", collected at Laboratório de Neurociências e Comportamento "Frederico Guilherme Graeff", Faculdade de Psicologia, Universidade Federal do Sul e Sudeste do Pará.
DOI: 10.5287/bodleian:qm2vgeo5z
title: Mass photometry enables label-free tracking and mass measurement of single proteins on lipid bilayers
DOI: 10.5281/zenodo.5142795
title: Use of the Animal Welfare Assessment Grid to monitor the ef-fects of enrichment on macaque welfare.

description: The data pubished relates to a research project that was undertaken to identify the effect of novel enrichments on the welfare of rhesus macaques housed in a breeding facility in the UK.
DOI: 10.5281/zenodo.5142794
title: Use of the Animal Welfare Assessment Grid to monitor the ef-fects of enrichment on macaque welfare.

description: The data pubished relates to a research project that was undertaken to identify the effect of novel enrichments on the welfare of rhesus macaques housed in a breeding facility in the UK.
DOI: 10.6084/m9.figshare.15069939.v1
title: locemdat_CW.zip

description: COMP1434_CW02
DOI: 10.6084/m9.figshare.15069939
title: locemdat_CW.zip

description: COMP1434_CW02
DOI: 10.15468/7fyd75
title: Ulyxes, a new Australopapuan mite genus associated with arboreal nests (Acari: Laelapidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shaw, Matthew D. (2014): Ulyxes, a new Australopapuan mite genus associated with arboreal nests (Acari: Laelapidae). Zootaxa 3878 (3): 261-290, DOI: http://dx.doi.org/10.11646/zootaxa.3878.3.3
DOI: 10.6084/m9.figshare.13646753
title: R.Arizou, M.Mohareb (2021), Design Considerations for Distortional Lateral Buckling (Supplemental Data).xlsx

description: This file includes an exhaustive parametric study of lateral torsional buckling of doubly symmetric wide flange beams.Through the study, the gradient moment factor, and the coefficients for distortional factor and load height effect are obtained.<br>
DOI: 10.6084/m9.figshare.13646753.v6
title: R.Arizou, M.Mohareb (2021), Design Considerations for Distortional Lateral Buckling (Supplemental Data).xlsx

description: This file includes an exhaustive parametric study of lateral torsional buckling of doubly symmetric wide flange beams.Through the study, the gradient moment factor, and the coefficients for distortional factor and load height effect are obtained.<br>
DOI: 10.6073/pasta/51353c586ab6e710aeb1139080af174e
title: PIE LTER marsh water table height, logging data from the Nelson Island Spartina marsh site for April-November 2019, Rowley, MA.

description: Measurements of water table height in the Nelson Island marsh located near Nelson Island eddy flux tower, Rowley MA. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Nelson stream bank at Nelson Island, MAR-PR-Wtable-Nel for April-November 2019.
DOI: 10.15139/s3/ys3pvx
title: Fremont Vision Zero: 5-Year Status Report + 2025 Action Plan (2021). Fremont, California

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15468/q5h4mk
title: Deep-water sponges (Porifera) from Bonaire and Klein Curaçao, Southern Caribbean

description: This dataset contains the digitized treatments in Plazi based on the original journal article Van Soest, Rob W. M., Meesters, Erik H. W. G., Becking, Leontine E. (2014): Deep-water sponges (Porifera) from Bonaire and Klein Curaçao, Southern Caribbean. Zootaxa 3878 (5): 401-443, DOI: http://dx.doi.org/10.11646/zootaxa.3878.5.1
DOI: 10.5517/ccdc.csd.cc224zqy
title: CCDC 1911420: Experimental Crystal Structure Determination

description: Related Article: Guozheng Zhao, Jinjian Liu|2021|RSC Advances|11|24500|doi:10.1039/D1RA02469H
DOI: 10.5517/ccdc.csd.cc249cf8
title: CCDC 1975209: Experimental Crystal Structure Determination

description: Related Article: Guozheng Zhao, Jinjian Liu|2021|RSC Advances|11|24500|doi:10.1039/D1RA02469H
DOI: 10.5517/ccdc.csd.cc25bkgk
title: CCDC 2006148: Experimental Crystal Structure Determination

description: Related Article: Peter Comba, Laura Abad-Galán, Patrick Cieslik, Michael Gast, Olivier Maury, Lucca Neupert, Amandine Roux-Gossart, Hubert Wadepohl, and Amandine Roux|2021|Chem.-Eur.J.|27|10303|doi:10.1002/chem.202005459
DOI: 10.5517/ccdc.csd.cc25bkhl
title: CCDC 2006149: Experimental Crystal Structure Determination

description: Related Article: Peter Comba, Laura Abad-Galán, Patrick Cieslik, Michael Gast, Olivier Maury, Lucca Neupert, Amandine Roux-Gossart, Hubert Wadepohl, and Amandine Roux|2021|Chem.-Eur.J.|27|10303|doi:10.1002/chem.202005459
DOI: 10.5517/ccdc.csd.cc2691g1
title: CCDC 2034482: Experimental Crystal Structure Determination

description: Related Article: Giang Thi Ly, Jun Choi, Youngmee Kim, Yuna Kim, Sujin Kim, So-Hyeon Yang, Sung-Jin Kim|2021|RSC Advances|11|24580|doi:10.1039/D1RA04170C
DOI: 10.5517/ccdc.csd.cc2691h2
title: CCDC 2034483: Experimental Crystal Structure Determination

description: Related Article: Giang Thi Ly, Jun Choi, Youngmee Kim, Yuna Kim, Sujin Kim, So-Hyeon Yang, Sung-Jin Kim|2021|RSC Advances|11|24580|doi:10.1039/D1RA04170C
DOI: 10.5517/ccdc.csd.cc26q3vx
title: CCDC 2047049: Experimental Crystal Structure Determination

description: Related Article: Magdalena Barwiolek, Dominika Jankowska, Mateusz Chorobinski, Anna Kaczmarek-Kędziera, Iwona Łakomska, Slawomir Wojtulewski, Tadeusz M. Muzioł|2021|RSC Advances|11|24515|doi:10.1039/D1RA03096E
DOI: 10.6084/m9.figshare.14552232
title: Sexual Assault NC

description: The NC Domestic Violence dataset is from https://ncadmin.nc.gov/about-doa/divisions/council-for-women/women-statistics.<br>Here we focus on the datasets corresponding to 2004-2019.<br><br>The curated datasets are included here along with a research question and guiding questions.<br>See the codebook for full details.
DOI: 10.6084/m9.figshare.14552232.v1
title: Sexual Assault

description: See the codebook.
DOI: 10.6084/m9.figshare.14552145
title: Domestic Violence NC

description: The NC Domestic Violence dataset is from https://ncadmin.nc.gov/about-doa/divisions/council-for-women/women-statistics.<br>Here we focus on the datasets corresponding to 2004-2019.<br><br>The curated datasets are included here along with a research question and guiding questions.<br>See the codebook for full details.
DOI: 10.6084/m9.figshare.14552145.v2
title: Domestic Violence

description: The NC Domestic Violence dataset is from https://ncadmin.nc.gov/about-doa/divisions/council-for-women/women-statistics.<br>Here we focus on the datasets corresponding to 2004-2019.<br><br>The curated datasets are included here along with a research question and guiding questions.<br>See the codebook for full details.
DOI: 10.6085/aa/marine_ltm.11.2
title: (:unkn)
DOI: 10.6085/aa/marine_ltm.5.3
title: (:unkn)
DOI: 10.6085/aa/marine_ltm.14.2
title: (:unkn)
DOI: 10.6085/aa/marine_ltm.4.8
title: MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Sea Stars and Katharina

description: This metadata record documents the Sea Star and Katharina Survey data for the Multi-Agency Rocky Intertidal Network (MARINe) Long-Term Monitoring surveys. These surveys are done throughout the year at sites ranging from Southeast Alaska to Southern California. Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org. The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.3886/e139962
title: Data and Code for: Effects of the COVID-19 Recession on the US Labor Market: Occupation, Family, and Gender

description: The economic crisis associated with the emergence of the novel corona virus is unlike standard recessions. Demand for workers in high contact and inflexible service occupations has declined, while parental supply of labor has been reduced by lack of access to reliable child care and in-person schooling options. This has led to a substantial and persistent drop in employment and labor force participation for women, who are typically less affected by recessions than men. We examine real time data on employment, unemployment, labor force participation and gross job flows to document the impact of the pandemic by occupation, gender and family status. We also discuss the potential long-term implications of this crisis, including the role of automation in depressing the recovery of employment for the worst hit service occupations.<br>