cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5511595
title: maximal time of availability of aggregated records

description: Establish maximal time of availability of the precise versions of records in an aggregating zip archive by publishing SHA256 sums of the archive.
DOI: 10.6084/m9.figshare.16709668
title: DRIADXdata_AgA_H2-He.zip

description: Underpinning IR and XRD research data, aquired at APS National lab. Related to published article DOIhttps://doi.org/10.1039/D1SC04232G
DOI: 10.6084/m9.figshare.16709668.v1
title: DRIADXdata_AgA_H2-He.zip

description: Underpinning IR and XRD research data, aquired at APS National lab. Related to published article DOIhttps://doi.org/10.1039/D1SC04232G
DOI: 10.5517/ccdc.csd.cc2337gy
title: CCDC 1939529: Experimental Crystal Structure Determination

description: Related Article: Ming-Hao Du, Xiu-Ying Zheng, Xiang-Jian Kong, La-Sheng Long, Lan-Sun Zheng|2020|Matter|3|1334|doi:10.1016/j.matt.2020.06.020
DOI: 10.5281/zenodo.5541899
title: Resource use strategies, resistance and tolerance to aerial biomass removal in Argentina mid-west native plants

description: Dataset of the PhD Thesis from Lucas D. Gorné:<br> - Gorné LD. 2018. Estrategias de uso de recursos, resistencia y tolerancia a la remoción de biomasa aérea en plantas nativas del centro-oeste de Argentina. Tesis del Doctorado en Ciencias Biológicas. Facultad de Ciencias Exactas, Físicas y Naturales. Universidad Nacional de Córdoba. Córdoba, Argentina. https://ri.conicet.gov.ar/handle/11336/87925.
DOI: 10.6084/m9.figshare.14832339
title: Readability scores of URLs on Covid-19 vaccines in Singapore, Hong Kong, and the Philippines

description: The data set is readability scores of URLs on Covid-19 vaccines in Singapore, Hong Kong, and the Philippines.
DOI: 10.6084/m9.figshare.14832339.v2
title: Readability scores of URLs on Covid-19 vaccines in Singapore, Hong Kong, and the Philippines

description: The data set is readability scores of URLs on Covid-19 vaccines in Singapore, Hong Kong, and the Philippines.
DOI: 10.6084/m9.figshare.14832339.v1
title: Readability scores of URLs on Covid-19 vaccines in Singapore, Hong Kong, and the Philippines

description: The data set is readability scores of URLs on Covid-19 vaccines in Singapore, Hong Kong, and the Philippines.
DOI: 10.5281/zenodo.5541972
title: Orbits of Milky Way satellites in an ensemble of Galactic potentials including the LMC

description: This archive contains the samples from the MCMC analysis of Milky Way potential,<br> including the dynamical perturbation from the LMC, and corresponding orbits<br> of other Galactic satellites in each choice of the MW+LMC potential.<br> <br> There are 1000 samples of the MW+LMC potential parameters from the chain,<br> and for each of them, one sample from the posterior distribution of present-day<br> position/velocity for each satellite (i.e., sampled from its measurement<br> uncertainties and weighted by the probability of finding this phase-space point<br> in the DF corresponding to the given potential in the chain).<br> The archive contains pre-computed trajectories for 63 objects,<br> stored as a 4d numpy array orbits.npy with shape<br> (63 objects, 1000 samples, 151 timesteps, 6 phase-space coordinates).<br> The timesteps are equally spaced between -3 Gyr and now (also stored in<br> orbit_times.npy).<br> Object names are listed in names.npy; LMC comes 0th.<br> The potential parameters for each of these 1000 samples are stored in<br> potential_params.npy - each row has 6 parameters, 5 for the MW halo<br> and the last one is the LMC mass.<br> The script integrate_orbits.py contains a routine for constructing<br> the MW potential with the given parameters (taken from the chain),<br> computing the past trajectories of MW+LMC and constructing the time-dependent<br> potential of both galaxies, which can then be used to integrate orbits of<br> test particles, such as other satellites. Doing this for all 1000 samples<br> and 62 objects would take some time, that's why they are provided in already<br> pre-computed form.<br>
DOI: 10.5281/zenodo.5541971
title: Orbits of Milky Way satellites in an ensemble of Galactic potentials including the LMC

description: This archive contains the samples from the MCMC analysis of Milky Way potential,<br> including the dynamical perturbation from the LMC, and corresponding orbits<br> of other Galactic satellites in each choice of the MW+LMC potential.<br> <br> There are 1000 samples of the MW+LMC potential parameters from the chain,<br> and for each of them, one sample from the posterior distribution of present-day<br> position/velocity for each satellite (i.e., sampled from its measurement<br> uncertainties and weighted by the probability of finding this phase-space point<br> in the DF corresponding to the given potential in the chain).<br> The archive contains pre-computed trajectories for 63 objects,<br> stored as a 4d numpy array orbits.npy with shape<br> (63 objects, 1000 samples, 151 timesteps, 6 phase-space coordinates).<br> The timesteps are equally spaced between -3 Gyr and now (also stored in<br> orbit_times.npy).<br> Object names are listed in names.npy; LMC comes 0th.<br> The potential parameters for each of these 1000 samples are stored in<br> potential_params.npy - each row has 6 parameters, 5 for the MW halo<br> and the last one is the LMC mass.<br> The script integrate_orbits.py contains a routine for constructing<br> the MW potential with the given parameters (taken from the chain),<br> computing the past trajectories of MW+LMC and constructing the time-dependent<br> potential of both galaxies, which can then be used to integrate orbits of<br> test particles, such as other satellites. Doing this for all 1000 samples<br> and 62 objects would take some time, that's why they are provided in already<br> pre-computed form.<br>
DOI: 10.24431/rw1k5b1
title: Acoustic-trawl Abundance Estimates , Arctic Integrated Ecosystem Research Program, 2017

description: These data are part of the Arctic IES 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. To investigate the distribution, life history, and interactions of biological communities in the U.S. Continental Region of the NE Chukchi Sea a survey was conducted from August - September 2017. This dataset contains acoustic-trawl estimates of abundance for key pelagic species. Fish abundances were estimated by combining backscatter measurements and size and species composition information from trawl samples. This dataset contains fish abundances in 0.5 nautical mile transect segments, and presented here in CSV format with interval and GPS identifiers.
DOI: 10.24431/rw1k5b2
title: Acoustic-trawl Abundance Estimates , Arctic Integrated Ecosystem Research Program, 2019

description: These data are part of the Arctic IES 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. To investigate the distribution, life history, and interactions of biological communities in the U.S. Continental Region of the NE Chukchi Sea a survey was conducted from August - September 2019. This dataset contains acoustic-trawl estimates of abundance for key pelagic species. Fish abundances were estimated by combining backscatter measurements and size and species composition information from trawl samples. This dataset contains fish abundances in 0.5 nautical mile transect segments, and presented here in CSV format with interval and GPS identifiers.
DOI: 10.6084/m9.figshare.14959320
title: Behavioural intervention for adolescent uptake of family planning: a randomized controlled trial, Uganda: Supplementary Material

description: Supplementary material for WHO Bulletin manuscript.Flanagan S, Gorstein A, Nicholson M, Bradish S, Amanyire D, Gidudu A, Aucur F, Twesigye J, Kyateka F, Balamaga S, Buttenheim A, & Zimmerman E. (2021)
DOI: 10.25380/iastate.15070029
title: Data for Gangloff et al. 2021. Journal of Heredity. Multiple paternity in garter snakes with evolutionarily divergent life-histories

description: Reproductive and genotype information for study subjects in this study of multiple paternity in garter snakes. Animals are wild-captured Thamnophis elegans (western terrestrial garter snakes), from Lassen County, California, USA. Animals were hand-captured, measured and bled. Pregnant females completed gestation in the laboratory, where reproductive success was noted.
DOI: 10.6084/m9.figshare.15152013
title: RFR-CCS

description: <b>Description</b><br>A collection of data from various sources used to create RFR-CCS, a gridded surface pCO2 product for the California Current ecosystem.<br><br><b>Sources</b><br>Mooring Data: Sutton et al., 2019 (https://www.ncei.noaa.gov/access/ocean-carbon-data-system/oceans/time_series_moorings.html)<br>CCMP winds: Atlas et al., 2011 (https://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L4_OW_L3_0_WIND_VECTORS_FLK)<br>Chlorophyll-a: Oregon State Productivity (http://sites.science.oregonstate.edu/ocean.productivity/1080.by.2160.monthly.inputData.php)<br>Coastal pCO2 product: Laruelle et al., 2017 (https://bg.copernicus.org/articles/14/4545/2017/)<br>ERA5 winds: Hersbach et al., 2020 (https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5)<br>ETOPO2 bathymetry: NOAA National Geophysical Data Center, 2006 (https://www.ngdc.noaa.gov/mgg/global/etopo2.html)<br>NCEP sea level pressure: Kalnay et al., 1996 (https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.pressure.html)<br>NCEP winds: Kalnay et al., 1996 (https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.pressure.html)<br>NOAA MBL CO2: Dlugokencky et al., 2020 (https://gml.noaa.gov/ccgg/mbl/)<br>OISST temperature: Huang et al., 2021 (https://www.ncdc.noaa.gov/oisst/optimum-interpolation-sea-surface-temperature-oisst-v21)<br>Open-ocean pCO2 climatology: Landschutzer et al., 2020 (https://essd.copernicus.org/articles/12/2537/2020/)<br>Mixed layer depth: Oregon State Productivity (http://sites.science.oregonstate.edu/ocean.productivity/1080.by.2160.monthly.inputData.php)<br><br>SeaFlux CO2: Gregor and Fay, 2021 (https://zenodo.org/record/5482547#.YVX2Mi2cbJw)<br>Surface Ocean CO2 Atlas: Bakker et al., 2016 (https://www.socat.info)<br>Sea surface height: Menemenlis et al., 2008 (https://www.ecco-group.org/products.htm)<br>Sea surface salinity: Menemenlis et al., 2008 (https://www.ecco-group.org/products.htm)
DOI: 10.5517/ccdc.csd.cc21l763
title: CCDC 1894354: Experimental Crystal Structure Determination

description: Related Article: Lanhua Chen, Yugang Zhang, Zhehui Weng, Zhiyong Liu, Jiarong Zhang, Yaxing Wang, Shuao Wang|2020|Chin.J.Chem.|39|597|doi:10.1002/cjoc.202000510
DOI: 10.5517/ccdc.csd.cc21l774
title: CCDC 1894355: Experimental Crystal Structure Determination

description: Related Article: Lanhua Chen, Yugang Zhang, Zhehui Weng, Zhiyong Liu, Jiarong Zhang, Yaxing Wang, Shuao Wang|2020|Chin.J.Chem.|39|597|doi:10.1002/cjoc.202000510
DOI: 10.5281/zenodo.5541033
title: Simulation dataset of "Deformation of electron distributions due to Landau trapping by the whistler-mode wave"

description: The file "Figure1a_data.dat" stores the data which is used to plot Figure1a. The file "Figure1cd_data.dat" stores the data which are used to plot Figure1c and Figure1c. And the other files are similar. The name and array of each parameter corresponding to that in Figures are stored in the files.
DOI: 10.5281/zenodo.5540716
title: querydynamics

description: Wikidata and DBpedia Live datasets for Sparql Query Dynamics. Include one truthy version of Wikidata from 2019-11-14 and one version of Dbpedia Live from 2019-07-01. Also include several difference sets taken weekly for Wikidata and daily for Dbpedia Live.
DOI: 10.5281/zenodo.5540715
title: querydynamics

description: Wikidata and DBpedia Live datasets for Sparql Query Dynamics. Include one truthy version of Wikidata from 2019-11-14 and one version of Dbpedia Live from 2019-07-01. Also include several difference sets taken weekly for Wikidata and daily for Dbpedia Live.
DOI: 10.5066/f7pk0f3d
title: Precipitation and streamflow data for computing lag to peak at selected stations in Maine

description: These are rainfall and stream stage data collected at gaging sites in Maine. Data were collected from March to October from 2008 to 2015 and include stage data at crest stage gages, ratings to convert stage data to streamflow data, previously unpublished rainfall data, rainfall binned into specified time intervals, and storm files combining rainfall and streamflow data. Data were collected, compiled and combined in order to analyze the lag to peak (the time between the center of volume of the rainfall and the peak streamflow) for small basins in Maine.
DOI: 10.25919/m6e7-hs62
title: Parkes observations for project P1105 semester 2021APRS_05

description: We have re-processed all the observations in the Parkes pulsar data archive obtained during the first four years of the Parkes multibeam receiver and have developed a new artificial intelligence (AI) algorithm to investigate huge volume of candidates. Except for our previous detections, the latest results include 87 new fast radio burst (FRB) candidates with S/N above 7. These signals were only detected in a single beam of the receiver suggesting that they are unlikely to be terrestrial. Their dispersion measure (DM) excesses over the estimated Galactic DM place them at extragalactic distances. Using the Ultra Wideband Low (UWL) receiver we have opportunity to detect repeating signals from some of these FRB candidates. As all these signals were detected in the 20 cm band, the UWL provides the opportunity to observe stronger emission in other observing bands.
DOI: 10.5066/p9fpg2x6
title: Santa Ana River Native Fish Population and Habitat Data, Santa Ana River, California, 2020

description: This dataset includes 2020 reach fish data and reach habitat data collected to support development of the upper Santa Ana River Habitat Conservation Plan for the Santa Ana Sucker (Catostomus santaanae) and the Arroyo Chub (Gila orcutti) in the Santa Ana River, California.
DOI: 10.5281/zenodo.5497769
title: 2017–2018 Land Cover Map of Pyrénées-Atlantiques

description: This archive contains:<br> <br> -A land cover map of the French department Pyrénées-Atlantiques (64) based on Sentinel-2 (L2A level) satellite images performed with iota² chain (https://framagit.org/iota2-project/iota2/). The algorithm used is Random Forest. The time series used ranges from 2017 to 2018. Since the first version of this classification, the collection of additional training data on the photo-interpreted classes 'landes basses' (low heath shrublands), 'landes hautes' (high heath shrublands) and 'landes hautes avec arbres' (high heath shrublands with young-growth forest) has led to minor to no significant improvement of the F-scores on these classes. Some are still massively confused with other land covers like grasslands and broadleaf mature forests. However, the number of pixels of these classes has been remarkably increased (more than doubled) and with it the visual quality of the map. -The training and validation data set in its 2018 and 2019 versions. It is a combination of Corine Land Cover (Copernicus), BD TOPO (IGN), Registre Parcellaire Graphique (IGN) and self-performed photo interpretation. -The stratification layer. -The confusion matrix. <br> <br> -The land cover map after post-treatments in which some classes are grouped and others are divided based on topography. The algorithm used is available here https://framagit.org/Schwaab/projet_predateurs64/-/blob/main/scripts/ClassificationPostProcess.py<br> <br> -The Qgis style layers.
DOI: 10.15468/p83v7f
title: Taxonomic review of East Palearctic species of Synergus section I, with description of a new species from China (Hymenoptera: Cynipidae: Cynipinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pujade-Villar, Juli, Wang, Yi-Ping, Chen, Xue-Xin, He, Jun-Hua (2014): Taxonomic review of East Palearctic species of Synergus section I, with description of a new species from China (Hymenoptera: Cynipidae: Cynipinae). Zoological Systematics 39 (4): 534-544, DOI: 10.11865/j.zs.20140406
DOI: 10.6084/m9.figshare.16712947.v1
title: Anexo 1. Discursos narcopopulistas.xlsx

description: Discursos de Populistas
DOI: 10.5281/zenodo.5541182
title: Dataset for Evolution of Cooperation in Costly Institutions: Red Queen and Black Queen Dynamics in Heterogenous Public Goods

description: This dataset contains the Matlab codes used in "Evolution of Cooperation in Costly Institutions: Red Queen and Black Queen Dynamics in Heterogenous Public Goods". The zip file contains Matlab codes used in simulation and numerical solutions of the replicator dynamics. The zip file "Figures" contains the Matlab code and data used to produce figures in this study.
description: {"references": ["Salahshour, M., 2021. Evolution of cooperation in costly institutes. arXiv preprint arXiv:2102.11432."]}
DOI: 10.5281/zenodo.5541565
title: Immuno Table S1 (Isozaki et al.)

description: Table S1. <strong>ΔOD values at 490nm for Fig. 3A to 3E.</strong> Each of the ΔOD 490nm values providers specific affinity and isotype of stereospecific monoclonal antibodies against huCRHR1 in the supernatant of hybridoma cells.
DOI: 10.5281/zenodo.5541564
title: Immuno Table S1 (Isozaki et al.)

description: Table S1. <strong>ΔOD values at 490nm for Fig. 3A to 3E.</strong> Each of the ΔOD 490nm values providers specific affinity and isotype of stereospecific monoclonal antibodies against huCRHR1 in the supernatant of hybridoma cells.
DOI: 10.5281/zenodo.5541127
title: Data from the National Prioritisation of Australian plant species after the 2019-2020 bushfires

description: Data for 26,062 native Australian plant species assessed against ten post-fire recovery criteria. Details of criteria and methods available in Gallagher, R. V. (2020) <em>National prioritisation of Australian plants affected by the 2019–2020 bushfire season.</em> Report to the Commonwealth Dartement of Agriculture, Water and Environment. https://www.environment.gov.au/system/files/pages/289205b6-83c5-480c-9a7d-3fdf3cde2f68/files/final-national-prioritisation-australian-plants-affected-2019-2020-bushfire-season.pdf
DOI: 10.5281/zenodo.5541126
title: Data from the National Prioritisation of Australian plant species after the 2019-2020 bushfires

description: Data for 26,062 native Australian plant species assessed against ten post-fire recovery criteria. Details of criteria and methods available in Gallagher, R. V. (2020) <em>National prioritisation of Australian plants affected by the 2019–2020 bushfire season.</em> Report to the Commonwealth Dartement of Agriculture, Water and Environment. https://www.environment.gov.au/system/files/pages/289205b6-83c5-480c-9a7d-3fdf3cde2f68/files/final-national-prioritisation-australian-plants-affected-2019-2020-bushfire-season.pdf
DOI: 10.6084/m9.figshare.16712947.v2
title: Anexo 1. Discursos narcopopulistas.xlsx

description: Discursos de narcopopulistas
DOI: 10.5281/zenodo.5537025
title: SPARQL LOG

description: SPARQL LOG
DOI: 10.5281/zenodo.5535950
title: SPARQL LOG

description: SPARQL LOG
DOI: 10.6084/m9.figshare.16637008.v15
title: COVID-19-FL-USA-MU vs DELTA

description: State of Florida - MU Variant Reported Cases in North America USA as of: 17SEP202120SEP2021 21SEP202122SEP2021<br>23SEP2021<br>State of Florida - DELTA Variant Reported Cases in North America USA as of:23SEP2021 - 28SEP2021REFERENCE: GISAID I would like to Gratefully acknowledge all data contributors, i.e. the Authors, the Originating laboratories responsible for obtaining the specimens, and the Submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which this research is based.
DOI: 10.5281/zenodo.5539970
title: RFR-CCS: A monthly surface pCO2 product for the California Current Large Marine Ecosystem

description: <strong>Description</strong> RFR-CCS is a monthly data product of surface pCO2 for the California Current Large Marine Ecosystem. It was built using pCO2 observations from the Surface Ocean CO2 Atlas, fit against a variety of driver variables (sources of which are listed below) using a Random Forest Regression, and provided on a 0.25 degree resolution grid from January 1998 to December 2020. <strong>Citation</strong> If using this product, please also cite the original manuscript: Sharp, J.D., Fassbender, A.J., Carter, B.C., Lavin, P.D., and Sutton, A.J. A monthly surface pCO2 product for the California Current Large Marine Ecosystem. submitted to Earth System Science Data. <strong>Driver Variables</strong> 1. Sea Surface Temperature: OISSTv2 2. Sea Surface Salinity: ECCO2 3. Chlorophyll-a: Oregon State (via NASA) 4. Wind Speed: ERA5 5. Atmospheric pCO2: NOAA MBL 6. Mixed Layer Depth: HYCOM 7. Distance from Shore: Calculated from latitude and longitude (dist2coast, Climate Data Toolbox) 8. Year 9. Month of Year
DOI: 10.6084/m9.figshare.16712947.v3
title: Anexo 1. Discursos narcopopulistas.xlsx

description: Discursos de narcopopulistas
DOI: 10.7910/dvn/cbtc1j/t6utnz
title: Local Linkages OECD dataset readme 20200907.txt

description: Read for description of files
DOI: 10.6084/m9.figshare.12925424
title: R0195_20171021a_videos

description: Rat 0195, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.26180/5f56bbc66b534
title: Temporal Profiles Laboratory Data

description: Subjective sleepiness, sustained attention lapses, and physiological drowsiness for N=18 participants across 40-hours of sleep deprivation in controlled laboratory conditions
DOI: 10.6084/m9.figshare.12925499
title: Week_2_Months

description: Week 2 Lesson Plan, months in a year
DOI: 10.6084/m9.figshare.12925499.v1
title: Week_2_Months

description: Week 2 Lesson Plan, months in a year
DOI: 10.6084/m9.figshare.12925769.v1
title: Week_2_Avg_Monthly_Precip_Boulder_CO

description: Week 2 Lesson, Average Monthly Precipitation
DOI: 10.6084/m9.figshare.12925769
title: Week_2_Avg_Monthly_Precip_Boulder_CO

description: Week 2 Lesson, Average Monthly Precipitation
DOI: 10.6084/m9.figshare.12925424.v1
title: R0195_20171021a_videos

description: Rat 0195, skilled reaching data collected in Leventhal laboratory by Alexandra Bova