cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7391372
title: Fake accounts activity

description: This dataset contains the IDs of about 5,458,582 tweets from 23,582 fake accounts for sale on buyaccs.com and active during 2020. Refer to the paper below for more details. Mazza, Michele, Guglielmo Cola, and Maurizio Tesconi. "Ready-to-(ab) use: From fake account trafficking to coordinated inauthentic behavior on Twitter." <em>Online Social Networks and Media</em> 31 (2022): 100224. --- Files ---------------------------------------------------------------------<br> * tweets.csv <br> List of tweets produced by monitored fake accounts, each with<br> "user.id_str" id of the user who posted the tweet;<br> "id_str" tweet id. <br> * users.csv<br> List of monitored fake accounts, each with<br> "user.id_str" user account id;<br> "cib" if present, this label identifies a specific coordinated <br> and inauthentic behavior, as described in the research article;<br> "user.meta.account_category" label indicating the category assigned by the merchant.
DOI: 10.21227/s6a2-cp11
title: dartmouth-testwebupload

description: This dataset contains outdoor runs of MANET (Mobile Ad-hoc network) routing algorithms to compare the performance of four different routing algorithms.
DOI: 10.5287/bodleian:agyzma1gd
title: A Welfare and Pass-Through Effects of Regulations within Imperfect Competition
DOI: 10.5281/zenodo.5213858
title: Data for Bernard et al., "Melt-assisted deformation in the lower crust of an active plate boundary, Baja California" (2022)

description: Archived LA-ICP-MS and EBSD data files for the Bernard et al. manuscript entitled, "Melt-assisted deformation in the lower crust of an active plate boundary, Baja California" (LITHOS, accepted 2022). EBSD data were acquired on an Oxford Instruments Symmetry EBSD detector on a FEI Apreo LoVac field emission gun scanning electron microscope at the University of California San Diego (UCSD) using a working distance between 26 to 28 mm and voltage of 20 kV. Trace elements were collected from polished thin sections using a Thermo Fisher Scientific iCAP Qc Inductively Coupled Plasma Mass Spectrometry (ICP-MS) with New Wave Research UP213 Laser Ablation system at UCSD.
DOI: 10.5281/zenodo.5213859
title: Data for Bernard et al., "Melt-assisted deformation in the lower crust of an active plate boundary, Baja California" (2022)

description: Archived LA-ICP-MS and EBSD data files for the Bernard et al. manuscript entitled, "Melt-assisted deformation in the lower crust of an active plate boundary, Baja California" (LITHOS, accepted 2022). EBSD data were acquired on an Oxford Instruments Symmetry EBSD detector on a FEI Apreo LoVac field emission gun scanning electron microscope at the University of California San Diego (UCSD) using a working distance between 26 to 28 mm and voltage of 20 kV. Trace elements were collected from polished thin sections using a Thermo Fisher Scientific iCAP Qc Inductively Coupled Plasma Mass Spectrometry (ICP-MS) with New Wave Research UP213 Laser Ablation system at UCSD.
DOI: 10.5281/zenodo.7391777
title: Data in Support of Rainbow Parameterization

description: This Archive contains data in support of the publication "Predicting Future Rainbows: A tutorial in Parameterization" The files are as follows: Monthly mean data sets from 4 year simulations: cc_cam6357fv_rainbow10.nc cc_cam6357fv_rainbow10_SST4K_2xCO2.nc cc_cam6357fv_rainbow10_pi.nc Instantaneous data used to build the parameterization and analyze the diurnal cycle: cchr_Jan_cam6357fv_rainbow10_hr.nc cchr_Jul_cam6357fv_rainbow10_hr.nc Model code: micro_pumas_cam.F90 Analysis Code (Jupyter Notebooks): rainbow_monthly_mac.ipynb. (for monthly) rainbows10sens_mac.ipynb (for single month instanatnaeous)
DOI: 10.5281/zenodo.7391776
title: Data in Support of Rainbow Parameterization

description: This Archive contains data in support of the publication "Predicting Future Rainbows: A tutorial in Parameterization" The files are as follows: Monthly mean data sets from 4 year simulations: cc_cam6357fv_rainbow10.nc cc_cam6357fv_rainbow10_SST4K_2xCO2.nc cc_cam6357fv_rainbow10_pi.nc Instantaneous data used to build the parameterization and analyze the diurnal cycle: cchr_Jan_cam6357fv_rainbow10_hr.nc cchr_Jul_cam6357fv_rainbow10_hr.nc Model code: micro_pumas_cam.F90 Analysis Code (Jupyter Notebooks): rainbow_monthly_mac.ipynb. (for monthly) rainbows10sens_mac.ipynb (for single month instanatnaeous)
DOI: 10.13140/rg.2.2.25601.94568
title: SIMULATION OF IDENTIFICATION SYSTEM TAGS BY RADIO FREQUENCY (RFID) FOR HOSPITAL APPLICATIONS
DOI: 10.13140/rg.2.2.18891.05923
title: SIMULATION OF IDENTIFICATION SYSTEM TAGS BY RADIO FREQUENCY (RFID) FOR HOSPITAL APPLICATIONS
DOI: 10.13140/rg.2.2.32312.83202
title: SIMULATION OF IDENTIFICATION SYSTEM TAGS BY RADIO FREQUENCY (RFID) FOR HOSPITAL APPLICATIONS
DOI: 10.5281/zenodo.7311810
title: Miami Sentinel-1 dataset processed with MiaplPy

description: A stack of Coregistered SLCs and displacement timeseries on Miami, USA Sensor: Sentinel-1 Ascending track 48 Time: 2015.09.21 - 2021.11.12, 147 acquisitions Processor: ISCE/topsStack This is the outputs from time series analysis with MiaplPy.
DOI: 10.5281/zenodo.7311811
title: Miami Sentinel-1 dataset processed with MiaplPy

description: A stack of Coregistered SLCs and displacement timeseries on Miami, USA Sensor: Sentinel-1 Ascending track 48 Time: 2015.09.21 - 2021.11.12, 147 acquisitions Processor: ISCE/topsStack This is the outputs from time series analysis with MiaplPy.
DOI: 10.5281/zenodo.7388734
title: Miami Sentinel-1 dataset processed with MiaplPy

description: A stack of Coregistered SLCs and displacement timeseries on Miami, USA Sensor: Sentinel-1 Ascending track 48 Time: 2015.09.21 - 2021.11.12, 147 acquisitions Processor: ISCE/topsStack This is the outputs from time series analysis with MiaplPy.
DOI: 10.6084/m9.figshare.21669173
title: SCAP_L01_V3_T0_RAPB_TMS_REC_10062022-13-25-52.csv

description: TMS 120% THRESHOLD RECRUITMENT CURVE
DOI: 10.6084/m9.figshare.21669173.v1
title: SCAP_L01_V3_T0_RAPB_TMS_REC_10062022-13-25-52.csv

description: TMS 120% THRESHOLD RECRUITMENT CURVE
DOI: 10.5066/p97vkz9c
title: Eight Multichannel Seismic Reflection Lines Acquired as Part of a Seismic Evaluation of the Oil and Gas Resource Assessment of the Naval Oil Shale Reserve 2 (NOSR 2), Utah

description: This data release contains seismic data for eight (8) two-dimensional (2D) multichannel seismic reflection (MCS) lines recorded in 1981 in Utah as part of a Seismic Evaluation of the Naval Oil Shale Reserve 2 (NOSR 2) commissioned by the U.S. Department of Energy (DOE). The lines are designated TRW-1 through TRW-8. This release includes original digital field data, including support metadata records (Navigation, Observer Notes, Survey Notes, maps, etc.). Shapefiles of the geophone stations/shotpoints and seismic lines are part of this release to help document the location of the surveys. Also included are the aforementioned MCS lines in SEG-Y format, reprocessed by the USGS in 1993-1994 to the point of unmigrated and migrated time using (at that time) state-of-the-art seismic processing software and included as part of a 1994 USGS evaluation of the Oil and Gas Resources of NOSR-2, commissioned by DOE. Links to publications resulting from the two resource evaluation studies mentioned above are given below. The SEG-Y format seismic files and associated support data contain all the information necessary to reprocess the lines from the field data or to load the processed data onto a seismic interpretation workstation.
DOI: 10.13140/rg.2.2.31473.97129
title: Laiza Proceedings Book International Mediterranean Scientific Research Congress, November 2022
DOI: 10.5281/zenodo.7298771
title: Data for the "Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning?" manuscript

description: Tar file of the data used to prepare the plots and write the text in: "Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning?" manuscript for submission to ACP. A description of each netcdf file is provided in the README file. The format of each file is in netcdf4
DOI: 10.5281/zenodo.7298770
title: Data for the "Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning?" manuscript

description: Tar file of the data used to prepare the plots and write the text in: "Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning?" manuscript for submission to ACP. A description of each netcdf file is provided in the README file. The format of each file is in netcdf4
DOI: 10.13140/rg.2.2.14696.75521
title: SIMULATION OF IDENTIFICATION SYSTEM TAGS BY RADIO FREQUENCY (RFID) FOR HOSPITAL APPLICATIONS
DOI: 10.5281/zenodo.7323502
title: Radicals as Exceptional Electron-Withdrawing Groups: Nucleo-philic Aromatic Substitution of Halophenols via Homolysis-Enabled Electronic Activation

description: This dataset contains machine-readable files of the graphs in the main text of "Radicals as Exceptional Electron-Withdrawing Groups: Nucleophilic Aromatic Substitution of Halophenols via Homolysis-Enabled Electronic Activation" in <em>J. Am. Chem. Soc.</em> 2022, 144, 47, 21783–21790
DOI: 10.5281/zenodo.7323501
title: Radicals as Exceptional Electron-Withdrawing Groups: Nucleo-philic Aromatic Substitution of Halophenols via Homolysis-Enabled Electronic Activation

description: This dataset contains machine-readable files of the graphs in the main text of "Radicals as Exceptional Electron-Withdrawing Groups: Nucleophilic Aromatic Substitution of Halophenols via Homolysis-Enabled Electronic Activation" in <em>J. Am. Chem. Soc.</em> 2022, 144, 47, 21783–21790
DOI: 10.13140/rg.2.2.28118.52801
title: SIMULATION OF IDENTIFICATION SYSTEM TAGS BY RADIO FREQUENCY (RFID) FOR HOSPITAL APPLICATIONS
DOI: 10.5066/p9xfh2js
title: Pumping, Injection, and Water Spreading Model Input for the Los Angeles Coastal Plain Groundwater Model - MF6

description: These data include pumping, injection, and water spreading input data for the MODFLOW-6 extension and update to Los Angeles Coastal Plain Groundwater Model (LACPGM-MF6) for the years 2016-2020. The LACPGM-MF6 required model inputs to represent groundwater injection, groundwater extraction, and water spreading. Extended datasets include four barrier project injection rates, two groundwater production extraction rates, and one water spreading infiltration rates. The data were made available by the two local water agencies, Water Resources Division of Los Angeles and the Orange County Water District. Spreading data were formatted for the MODFLOW-6 well package and both injection and extraction data were formatted for the MODFLOW-6 multi-aquifer well package.
DOI: 10.5517/ccdc.csd.cc1nswr2
title: CCDC 1543265: Experimental Crystal Structure Determination

description: Related Article: Yuan Lu, Weiqiang Xu, Kaikai Hu, Shouwen Jin, Lei Sun, Bin Liu, Daqi Wang|2018|Polyhedron|159|408|doi:10.1016/j.poly.2018.11.029
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.cc1nswcp
title: CCDC 1543253: Experimental Crystal Structure Determination

description: Related Article: Yuan Lu, Weiqiang Xu, Kaikai Hu, Shouwen Jin, Lei Sun, Bin Liu, Daqi Wang|2018|Polyhedron|159|408|doi:10.1016/j.poly.2018.11.029
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: 10.15454/ioet0p/7zudt8
title: data_table_GMB.tab

description: Fixed effects and production traits for Lacaune dairy sheep
DOI: 10.57745/bka80y
title: dataINRAE_795Lacauneewes.tab

description: :unav
DOI: 10.57745/jj9wva
title: DataINRAE_700Lacauneewes.tab

description: :unav
DOI: 10.57745/gcae4f
title: dataINRAE_795Lacauneewes.tab

description: :unav
DOI: 10.6084/m9.figshare.20650143
title: ILT_dataset.zip

description: training set
DOI: 10.6084/m9.figshare.20650143.v1
title: ILT_dataset.zip

description: training set
DOI: 10.5066/p9dg0rqn
title: Russian River Integrated Hydrologic Model (RRIHM): Land use layer used to define simulated agricultural fields and crops

description: The Russian River Watershed (RRW) covers about 1,300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private wells supply, and commercial uses - such as for wineries and recreation. Annual rainfall in the RRW is highly variable, making it prone to droughts and flooding from atmospheric river events. In order to better understand surface-water and groundwater issues, the USGS is creating a Coupled Ground-Water and Surface-Water Flow Model (GSFLOW; Markstrom and others, 2008) of the RRW. This model will include climate, geology, surface-water, groundwater, and land-use data. This data release is a shapefile of the 2014 agricultural fields from the California Department of Water Resources intersected with the Russian River Integrated Hydrologic Model (RRIHM) grid. Spatially, this data shows the boundaries of the 2014 agricultural fields with the model grid dissected into the fields. The shapefile attribute table shows the data from both the agricultural fields and the model grid shapefiles. The RRIHM grid can be found in it's own data release on the Russian River Integrated Hydrologic Model (RRIHM) Coupled Ground-Water and Surface-Water Flow Model Science Base community page.
DOI: 10.5517/ccdc.csd.cc29j5wx
title: CCDC 2130719: Experimental Crystal Structure Determination

description: Related Article: James Kovach, Suzanne R. Golisz, William W. Brennessel, William D. Jones|2022|Organometallics|41|3167|doi:10.1021/acs.organomet.2c00036
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.cc29j5yz
title: CCDC 2130721: Experimental Crystal Structure Determination

description: Related Article: James Kovach, Suzanne R. Golisz, William W. Brennessel, William D. Jones|2022|Organometallics|41|3167|doi:10.1021/acs.organomet.2c00036
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: 10.5066/p9cbbce6
title: Russian River Integrated Hydrologic Model (RRIHM): Groundwater &amp;amp;amp; Streamflow Observations

description: The Russian River Watershed (RRW) covers about�1300�square miles�(without Santa Rosa Plain)�of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW�depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private wells supply, and commercial uses - such as for wineries and recreation. Annual rainfall in the RRW is highly variable, making it prone to droughts and flooding from atmospheric river events.�In order to better understand surface-water and groundwater issues, the USGS is creating a�Coupled Ground-Water and Surface-Water Flow Model (GSFLOW; Markstrom and others, 2008)�of the RRW. This model will include climate, geology, surface-water, groundwater, and land-use data. This data release contains 2 shapefiles used in the Russian River Integrated Hydrologic Model (RRIHM). These shapefiles are: 1) groundwater wells (with measured ground water levels), and 2) streamflow gages. It also includes a comma separated values (CSV) file of measured daily streamflow (in cubic feet per second).
DOI: 10.5066/p9o40ar7
title: Satellite-based barrier island habitat maps, Whiskey Island, Louisiana, 2012-2020

description: This product is a satellite-based habitat map time series from 2012 to 2020 for the Whiskey Island reach of the Louisiana Gulf shoreline to facilitate monitoring of the Natural Resource Damage Assessment (NRDA) Caillou Lake Headlands project area (TE-0100), also known as Whiskey Island. The project created 170 acres of marsh habitat and 917 acres of dune and beach habitat on Whiskey Island in Terrebonne Parish, Louisiana, using material dredged from Ship Shoal. For more information on this restoration project, see the project page on Louisiana Coastal Protection and Restoration Authority?s (CPRA) Coastal Information Management System (https://cims.coastal.la.gov/outreach/projects/ProjectView?projID=TE-0100). The time period for these maps spans before, during, and after the restoration project. Maps were produced using a random forest model that classified cover types (that is, bare, herbaceous vegetation, woody vegetation, and water) based on spectral indices from Sentinel-2 and Landsat 8 imagery. These products complement habitat maps that were developed from orthoimagery and elevation data using a detailed 15-class habitat scheme developed by the CPRA?s Barrier Island Comprehensive Monitoring (BICM) Program. The BICM Program uses both historical data and contemporary data collections to assess and monitor changes to barrier islands. Habitat map products are one type of BICM dataset. For more information about the BICM Program, see Kindinger and others (2013); for more information about recent BICM habitat mapping, see Enwright and others (2020). These habitat maps were utilized with ecological data in an analysis of avian habitat occupancy and use/function for several focal species pre- and post-restoration activity. The results of this analysis will help land managers evaluate how restoration and subsequent natural ecological processes impact bird species of conservation concern, and target restoration activities that enhance island sustainability and preserve avian habitat availability.
DOI: 10.5066/p9gn2xf4
title: Satellite-based barrier island habitat maps, Caminada Headland, Louisiana, 2012-2019

description: This product is a satellite-based habitat map time series from 2012 to 2019 for the Caminada Headland reach of the Louisiana Gulf shoreline to facilitate monitoring of the National Fish and Wildlife Foundation (NFWF) Caminada Headland Beach and Dune Restoration Incr2 project area (BA-0143). The project restored 489 acres of beach and dune habitat along more than seven miles of Caminada Headland in Jefferson and Lafourche Parishes in Louisiana through the direct placement of about 5.4 million cubic yards of sandy substrate from Ship Shoal. For more information on this restoration project, see the project page on Louisiana Coastal Protection and Restoration Authority&amp;amp;amp;rsquo;s (CPRA) Coastal Information Management System (https://cims.coastal.la.gov/outreach/projects/ProjectView?projID=BA-0143). The time period for these maps spans before, during, and after the restoration project. These maps were produced using a random forest model that classified cover types (that is, bare, herbaceous vegetation, woody vegetation, and water) based on spectral indices from Sentinel-2 and Landsat 8 imagery. These products complement habitat maps that were developed from orthoimagery and elevation data using a detailed 15-class habitat scheme developed by the CPRA&amp;amp;amp;rsquo;s Barrier Island Comprehensive Monitoring (BICM) Program. The BICM Program uses both historical data and contemporary data collections to assess and monitor changes to barrier islands. Habitat map products are one type of BICM dataset. For more information about the BICM Program, see Kindinger and others (2013); for more information about recent BICM habitat mapping, see Enwright and others (2020). These habitat maps were utilized with ecological data in an analysis of avian habitat occupancy and use/function for several focal species pre- and post-restoration activity. The results of this analysis will help land managers evaluate how restoration and subsequent natural ecological processes impact bird species of conservation concern, and target restoration activities that enhance island sustainability and preserve avian habitat availability.
DOI: 10.5281/zenodo.7378270
title: A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission example data

description: These files contain the Confluence pipeline outputs from the example in the "A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission" manuscript.
description: Work funded by NASA grants 80NSSC20K1141 and 80NSSC20K1339.
DOI: 10.5281/zenodo.7378269
title: A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission example data

description: These files contain the Confluence pipeline outputs, prior information (SOS) and Simulated SWOT shape files from the example in the "A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission" manuscript.
description: Work funded by NASA grants 80NSSC20K1141 and 80NSSC20K1339.
DOI: 10.13020/ww10-2982
title: Supporting Data for "A Model Sensitivity Study of Ocean Surface Wave Modulation Induced by Internal Waves"

description: The dataset is generated using the two-layer fluid model to simulate internal and surface wave interaction. It can be used to analyze the impact of internal wave and surface wave properties on internal wave-induced surface wave modulation.
DOI: 10.15468/ruabcv
title: Azores Sea turtles updated checklist

description: Sea turtles are the best-known and more widespread marine reptiles. However, information on their distribution and the occurrence of most species, except for nesting beaches, remains scarce and sporadic, depending on sightings from fishing vessels, tourist activities and occurrences in coastal areas as well as fishing bycatch. Since the last updated species’ list for the Azores (Santos et al, 2010), no new species’ record was known for Azorean waters, until October 2020, with the confirmed sighting of an Olive Ridley, Lepidochelys olivacea (Eschscholtz, 1829) (Barcelos et al. 2021). After that, in February 2021, a second individual was found stranded on Pico Island, already in an advanced state of decomposition. This increased the number of species present in Azores EEZ (Exclusive Economic Zone) to six out of the seven extant worldwide. The remaining one, Natator depressus (Garman, 1880), is native to the Indo-pacific (see Red List Standards & Petitions Subcommittee, 1996).
DOI: 10.5281/zenodo.7388758
title: Sicily Sentinel-1 dataset processed with MiaplPy

description: Displacement on Sicily, Italy Sensor: Sentinel-1 Descending track 124 Time: 2017.10 - 2019.09, 63 acquisitions Processor: ISCE/topsStack This is the outputs from time series analysis with MiaplPy.
DOI: 10.5281/zenodo.7388757
title: Sicily Sentinel-1 dataset processed with MiaplPy

description: Displacement on Sicily, Italy Sensor: Sentinel-1 Descending track 124 Time: 2017.10 - 2019.09, 63 acquisitions Processor: ISCE/topsStack This is the outputs from time series analysis with MiaplPy.