cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6787927
title: SuperDARN data in netCDF format (2002-May)

description: 2002-May SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6788435
title: SuperDARN data in netCDF format (2002-Feb)

description: 2002-Feb SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.35077/vex
title: 181002_JH_WG_A_Fezf2LSLflp_CFA_male

description: An essential step toward a comprehensive understanding of brain function is to establish a cellular-resolution structural framework upon which multiscale and multi-modal information spanning molecules, cells, circuits, systems and behavior can be registered, integrated, interpreted and mined. Dr. Huang and Arlotta will lead the Center to produce two complementary cell atlases integrated within a digital Common Coordinate Framework of the mouse brain: 1) a Brainwide Cell Transcriptome Atlas of unprecedented scale and resolution, integrated with 2) an in-depth Forebrain Projection Neuron Atlas that combines comprehensive anatomic and molecular information.
description: projection
description: DATASET METADATA: title:'181002_JH_WG_A_Fezf2LSLflp_CFA_male', GeneralModality:'anatomy/morphology', Technique:'STPT' SPECIMEN METADATA: LocalID:'181002_JH_WG_A_Fezf2LSLflp_CFA_male', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Ageunit:'Weeks', Sex:'Male', OrganName:'Brain', Locations:'MOp' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision' IMAGE METADATA: yAxis:'right-to-left', zAxis:'anterior-to-posterior', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'1 micron/pixel', stepSizeY:'1 micron/pixel', stepSizeZ:'50 micron/pixel'
DOI: 10.34740/kaggle/ds/2320094
title: BWIM-BME-Simulated-I
DOI: 10.5066/p94olk6z
title: Soil-water-balance model archive for Long Island, NY, 1900-2019

description: This model archive makes available the Soil-Water-Balance (SWB) model (Westenbroek and others, 2010) and input data used to estimate the potential amount of annual groundwater recharge to the Long Island aquifer system from 1900 to 2019 as described in U.S. Geological Survey Scientific Investigations Report 2021-5143. Input data for two SWB simulations are included in the archive. The first simulation uses existing land-use/land-cover datasets to estimate changes in recharge with changing land use from 1900-2019 (referred to as the post-development simulation). The second simulation assumed a forested, undeveloped (pre-development simulation) condition across Long Island for the same period. The same soil coverages and time-series climate data were used throughout both simulations. Potential recharge was spatially distributed as gridded output across Long Island in 100m x 100m grid cells. To save on model run time, model inputs were divided into 10-year increments as described in Model_Archive_ReadMe.txt. The model archive includes all input files used to run the model. The required directory structure to run the model is provided in Model_Archive_ReadMe.txt.
DOI: 10.5066/p93z8y8l
title: Soil-water-balance model archive for Long Island, NY, 1900-2019

description: This model archive makes available the Soil-Water-Balance (SWB) model (Westenbroek and others, 2010) and input data used to estimate the potential amount of annual groundwater recharge to the Long Island aquifer system from 1900 to 2019 as described in U.S. Geological Survey Scientific Investigations Report 2021-5143. Input data for two SWB simulations are included in the archive. The first simulation uses existing land-use/land-cover datasets to estimate changes in recharge with changing land use from 1900-2019 (referred to as the post-development simulation). The second simulation assumed a forested, undeveloped (pre-development simulation) condition across Long Island for the same period. The same soil coverages and time-series [...]
DOI: 10.25810/n3xc-9577.14
title: Finnish Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - May 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.20209859.v2
title: prototypicality_dataset

description: Prototypicality for Chinese words
DOI: 10.6084/m9.figshare.20209859.v3
title: prototypicality_dataset

description: Prototypicality for Chinese words
DOI: 10.25810/rxtv-eb29.50
title: German Newspaper Coverage of Climate Change or Global Warming, 2004-2022 - May 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.6798861
title: Chromium evaporation and weight gain measurements

description: Data set of experimental data on chromium release and weight gain during high temperature oxidation of AISI 441 stainless steel.
DOI: 10.5281/zenodo.6798860
title: Chromium evaporation and weight gain measurements

description: Data set of experimental data on chromium release and weight gain during high temperature oxidation of AISI 441 stainless steel.
DOI: 10.5281/zenodo.6798895
title: AD ASTRA project - WP4 Characterization of Interconnects extracted from operated SUN stacks

description: Report on the complete investigation performed on interconnects extracted from SOFC stacks operated from 5'000 to 20'000 hours
DOI: 10.5281/zenodo.6798894
title: AD ASTRA project - WP4 Characterization of Interconnects extracted from operated SUN stacks

description: Report on the complete investigation performed on interconnects extracted from SOFC stacks operated from 5'000 to 20'000 hours
DOI: 10.25810/6qjv-1296.50
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - May 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.20229354
title: EXP_6

description: eeg data
DOI: 10.25810/fj1y-8c74.41
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2022 - May 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6073/pasta/27e795dee803493140d6a7cdc3d23379
title: SBC LTER: REEF: Macrocystis pyrifera biomass and environmental drivers in southern and central California

description: These data describe 1987-2019 time series of giant kelp (Macrocystis pyrifera) biomass and associated environmental variables (wave height, nitrate concentration, climate indices) at quarterly and annual time intervals. Data for spatially resolvable variables (giant kelp biomass, wave height, nitrate concentration) pertain to 361 coastline segments (500 m length) in southern and central California where giant kelp was persistent over the sampling period. Data are contained in 5 tables: 1) quarterly time series of giant kelp biomass, wave height, and nitrate concentrations for 361 coastline segments; 2) quarterly time series of aspatial climate indices (NPGO, MEI, PDO); 3) annual time series of giant kelp biomass, wave height, and nitrate concentrations for 361 coastline segments; 4) annual time series of aspatial climate indices (NPGO, MEI, PDO); 5) locations (latitude and longitude of center) of coastline segments. Kelp data are derived from satellite imagery using empirical relationships. Wave data are derived from an empirically validated swell propagation model. Nitrate data are derived from empirical relationships with remotely-sensed sea surface temperature.
DOI: 10.6073/pasta/89b63c4b49b80fb839613e9d389d9902
title: SBC LTER: Time series of quarterly NetCDF files of kelp biomass in the canopy from Landsat 5, 7 and 8, since 1984 (ongoing)

description: This data file represents a time series of canopy area of giant kelp, Macrocystis pyrifera, and bull kelp, Nereocystis luetkeana, and canopy biomass of giant kelp derived from Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8 Operational Land Imager (OLI) satellite imagery, along with relevant metadata. The kelp canopy is composed of the portions of fronds and stipes floating on the surface of the water. Canopy area (m2) data are given for individual 30 x 30 meter pixels for all coastal areas of Baja California, Mexico, California, Oregon, and Washington, including offshore islands. Biomass data (wet weight, kg) are given for individual 30 x 30 meter pixels in the coastal areas extending from near Ano Nuevo, CA through the southern range limit in Baja California (including offshore islands), representing the range where giant kelp is the dominant canopy forming species. Data were derived from the three Landsat sensors listed above. Observations are made on a 16 day repeat cycle, for each instrument, but the temporal coverage is irregular because of cloud cover, instrument failure, and the mission length of each sensor (TM: 1984 – 2011, ETM+: 1999 – present, OLI: 2013 – present). Estimates of canopy area are derived from the fractional cover of kelp canopy determined from satellite surface reflectance. Estimates of kelp canopy biomass are derived from the relationship between giant kelp fractional cover determined from satellite surface reflectance and empirical measurements of giant kelp canopy biomass in long-term SBC LTER study plots obtained using SCUBA. The different Landsat sensors were calibrated to each other using simulated Landsat data derived from hyperspectral imagery. Missing data due to the ETM+ scan line corrector error were filled using a synchrony-based gap filling method. Data are organized into a single NetCDF file and contain the quarterly area and biomass means for each Landsat pixel across the three sensors. Relevant metadata such as number of Landsat estimates from which the mean was derived, the number of estimates from each sensor, standard error for each quarterly estimate, spatial coordinates, and date are all included in the file. For assistance with the data, please contact sbclter@msi.ucsb.edu.
DOI: 10.25747/9pkq-cg27
title: Twitter profiles with related topics and websites
DOI: 10.6073/pasta/71f2afaf22ce0099b80afc70f824acdf
title: Red Knot observations on the Virginia Coast, 2007-2019

description: Red Knot observations on the Virginia Coast, 2007-2019 Understanding factors that influence a species' distribution and abundance across the annual cycle is required for range-wide conservation. Thousands of imperiled red knots (Calidris cantus rufa) stop on Virginia's barrier islands each year to replenish fat during spring migration. We investigated the variation in red knot presence and flock size, the effects of prey on this variation, and factors influencing prey abundance on Virginia's barrier islands. We counted red knots and collected potential prey samples at randomly selected sites from 2007 - 2018 during a two-week period during early and peak migration. Core samples contained crustaceans (Orders Amphipoda and Calanoida), blue mussels (Mytilus edulis), coquina clams (Donax variabilis), and miscellaneous prey (horseshoe crab eggs (Limulus polyphemus), angel wing clams (Cyrtopleura costata), and other organisms (e.g., insect larvae, snails, worms)). Estimated red knot numbers in Virginia during peak migration were highest in 2012 (11,959) and lowest in 2014 (2,857; 12-year peak migration xÌ„ = 7,175, SD = 2,869). Red knot and prey numbers varied across sampling periods and substrates (i.e., peat and sand). Red knots generally used sites with more prey. Miscellaneous prey (xÌ„ = 18.85/core sample, SE = 0.88) influenced red knot presence at a site early in migration, when we only sampled on peat banks. Coquina clams (xÌ„ = 11/core sample, SE = 0.30) and blue mussels (xÌ„ = 0.94/core sample, SE = 0.04) affected red knot presence at a site during peak migration, when we sampled both substrates. Few relationships between prey and red knot flock size existed, suggesting that other unmeasured factors determined red knot numbers at occupied sites. Tide and mean daily water temperature affected prey abundance. Maximizing the diversity, availability, and abundance of prey for red knots on barrier islands requires management that encourages the presence of both sand and peat bank intertidal habitats.
DOI: 10.6073/pasta/9d6961262dfdaee98720f118f5ad816c
title: Taxonomic Composition of Red Knot Fecal Samples on the Virginia Coast

description: Taxonomic Composition of Red Knot Fecal Samples on the Virginia Coast Understanding which prey birds use and how prey selection is related to prey availability is important to understanding avian ecology and for conservation planning. Abundant prey at stopovers during migration is a key to shorebird survival and breeding success. We determined which prey were available to foraging red knots (Calidris canutus rufa) using Virginia's barrier islands during spring migration by collecting substrate core samples containing prey on sand and peat substrates in May 2017 - 2019. We also collected red knot feces during the same period and used fecal DNA metabarcoding to determine which invertebrates red knots consumed. We used compositional analysis to determine which prey red knots selected on these islands. Crustaceans (Orders Amphipoda and Calanoida) were the most abundant prey on both sand and peat. Red knots consumed bivalves (Orders Venerida and Mytiloida), crustaceans (Orders Amphipoda and Calanoida), and insect larvae (Order Diptera). Red knots selected bivalves over non-bivalve prey, though non-bivalve prey may still be an important portion of the total caloric intake on Virginia's stopover, given their abundance and use. It is important that coastal conservation practices in the Western Mid-Atlantic stopover region continue to be designed to promote natural barrier island movement which leads to the formation of the peat banks used by many prey.
DOI: 10.5281/zenodo.6798960
title: Data collected from interconnect operated 40'000 hours in SOFC mode

description: Complete set of data acquired from the characterization of interconnect extracted from SOFC stack operated 40'000 hours
DOI: 10.5281/zenodo.6798959
title: Data collected from interconnect operated 40'000 hours in SOFC mode

description: Complete set of data acquired from the characterization of interconnect extracted from SOFC stack operated 40'000 hours
DOI: 10.5281/zenodo.6798849
title: Automatically Extracted SHACL Shapes for WikiData, DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics

description: The uploaded datasets contain <strong>automatically extracted </strong>SHACL shapes for the following datasets: WikiData (the truthy dump from September 2021 filtered by removing non-English strings) [1] DBpedia [2] YAGO-4 [3] LUBM (scale factor 500) [4] The validating shapes for these datasets are generated by a program that parses the corresponding RDF files (in `.nt` format). The extracted shapes encode various SHACL constraints, e.g., sh:minCount, sh:path, sh:class, sh:datatype etc. For each shape we encode coverage in terms of number of entities satisfying such shape, this information is encoded using the void:entities predicate. We have provided as executable Jar file the program we developed to extract these SHACL shapes.<br> More details about the datasets used to extract these shapes and <em>how to run the Jar</em> are available on our GitHub repository https://github.com/Kashif-Rabbani/validatingshapes. [1] Vrandečić, Denny, and Markus Krötzsch. "Wikidata: a free collaborative knowledgebase." Communications of the ACM 57.10 (2014): 78-85. [2] Auer, Sören, et al. "Dbpedia: A nucleus for a web of open data." The semantic web. Springer, Berlin, Heidelberg, 2007. 722-735. [3] Pellissier Tanon, Thomas, Gerhard Weikum, and Fabian Suchanek. "Yago 4: A reason-able knowledge base." European Semantic Web Conference. Springer, Cham, 2020. [4] Guo, Yuanbo, Zhengxiang Pan, and Jeff Heflin. "LUBM: A benchmark for OWL knowledge base systems." Journal of Web Semantics 3.2-3 (2005): 158-182.
DOI: 10.6084/m9.figshare.20230977
title: Cadophora species from marine glaciers in the Qinghai-Tibet Plateau

description: DNA alignment sequences for the construction of phylogenetic trees
DOI: 10.5517/ccdc.csd.cc24zlh7
title: CCDC 1995609: Experimental Crystal Structure Determination

description: Related Article: Jiao shungang|2022|CSD Communication|||
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.cc28yn1y
title: CCDC 2113860: Experimental Crystal Structure Determination

description: Related Article: Timothy L. Gialelis, Tze Cin Owyong, Siyang Ding, Wenyi Li, Maoxing Yu, Neil M. O’Brien-Simpson, Zujin Zhao, Jonathan M. White, Bicheng Yao, and Yuning Hong|2022|Cell Reports Physical Science|3|100766|doi:10.1016/j.xcrp.2022.100766
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.cc2964c1
title: CCDC 2121062: Experimental Crystal Structure Determination

description: Related Article: Chen Juan|2022|CSD Communication|||
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.cc2964d2
title: CCDC 2121063: Experimental Crystal Structure Determination

description: Related Article: Chen Juan|2022|CSD Communication|||
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: 10.21227/9q85-p546
title: Realized Gain Values for a Handset With and Without Hand Phantom at 28 GHz

description: This data provides realized gain values for a handset operating at 28 GHz, with 3 4x1 linear antenna arrays placed around the handset along the right edge, bottom edge and back face of the handset. Beam steering was carried out at each of these antenna arrays and results for the handset with and without the hand phantom are included to show the effect that the introduction of the hand phantom has on the realized gain of the handset.
DOI: 10.6073/pasta/c96875918bb9c86d330a457bf4295cd9
title: Meteorological data from benchmark stations at the Andrews Experimental Forest, 1957 to present

description: A three-level hydro-climatological network for data monitoring was established in 1994. The networks at each level are nested to form a coordinated program of data acquisition and measurement. A future vision of linking the benchmark meteorological stations with regional weather stations to expand the future scope of studies was also considered in designing this network. The first-level in this top-down approach consists of Benchmark Meteorological Stations (BMS) and Benchmark Stream Stations. The BMS are designed to represent the environment across the Andrews. These stations are intended to provide complete, long-term, high temporal resolution, meso-scale hydroclimatological data. The location of the BMS network is based on factors such as elevation, aspect, vegetation gradients, and accessibility. Collected meteorological parameters are generally standardized across the BMS as well as methods and instrumentation. Secondary Meteorological Stations also follow standardized methods and serve similar purposes but are somewhat limited in meteorological parameters collected. The Primary Meteorological Station (PRIMET), Central Meteorological Station (CENMET), Upper Lookout Meteorological Station (UPLMET), and Vanilla Leaf Meteorological Station (VANMET) are the four Benchmark Stations, Climatic Station at Watershed 2 (CS2MET) and the Hi-15 Meteorological Station (H15MET) are Secondary Stations.