cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22578544
title: HUNGARY_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Hungary. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578544.v1
title: HUNGARY_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Hungary. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578547
title: SOUTHAFRICA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for South Africa. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578547.v1
title: SOUTHAFRICA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for South Africa. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578529
title: Flume experiments to investigate the influence of cohesive clay on wave-current ripple dynamcis

description: Large-scale flume experiments were conducted in the Total Environment Simulator at the University of Hull in order to study ripple dynamics in mixed sand–clay substrates under combined flows. This dataset provides detailed information of ripple development under two different wave-current conditions, recording by Ultrasonic Range System (URS), from beds with the initial clay content between 0% and 18.3%. In addition, the results of grain size analysis, using Malvern Mastersizer 2000, from sediment cores collected during the experiments are included, showing vertical change in clay content with ripple evolution. Moreover, hydrodynamic data including near-bed flow velocities monitored by Vectrino Profilers are also in the present dataset.
DOI: 10.6084/m9.figshare.22578550
title: THAILAND_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Thailand. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578553
title: BRAZIL_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Brazil. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578553.v1
title: BRAZIL_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Brazil. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578556
title: MALAYSIA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Malaysia. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578556.v1
title: MALAYSIA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Malaysia. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578559.v1
title: AUSTRALIA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Australia. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578559
title: AUSTRALIA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Australia. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578562
title: NEWZEALAND_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for New Zealand. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578562.v1
title: NEWZEALAND_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for New Zealand. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578568.v1
title: CHILE_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Chile. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578568
title: CHILE_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Chile. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578574
title: ARGENTINA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Argentina. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578574.v1
title: ARGENTINA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Argentina. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578580
title: SWITZERLAND_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Switzerland. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22578580.v1
title: SWITZERLAND_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Switzerland. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.25919/0dkf-b508
title: Parkes observations for project P1173 semester 2022OCTS_08

description: Spider pulsar systems are compact binary pulsars with low-mass companions in tight orbits, where the primary pulsar is ablating the secondary through the output of high-energy radiation and pulsar wind due to proximity. These systems present an interesting opportunity to probe the mechanisms related to the destruction of these low-mass bodies in the radio regime, as debris surrounding the ablated secondary companion causes the pulsar emission to propagate and scatter as it moves through it, along our line of sight - revealing details of the complex, turbulent structure of this region. Recent studies have shown that the eclipsing region can cause pulsar signals to scatter, revealing small-scale structure of the turbulent field, as well as a strong variation in the pulsar’s polarsiation, rotation measure and dispersion measure. Under this proposal, we wish to study two known spider pulsars for their full orbit with the Parkes UWL capability – which has not been achieved by any other telescope. This will give us the opportunity to analyse he eclipsing effects of these systems.
DOI: 10.5281/zenodo.4726707
title: Scaffold library

description: Scaffold library
DOI: 10.5281/zenodo.4726706
title: Scaffold library

description: Scaffold library
DOI: 10.5281/zenodo.4726717
title: Scaffold library

description: Scaffold library
DOI: 10.5281/zenodo.7810285
title: Scaffold library

description: Scaffold library
DOI: 10.17909/q77c-8j50
title: Data of Environment around Quasar ULAS J1342 at z=7.54

description: These data were used to look for z~7.5 LBGs around the ~1pMpc^2 of Pisco.
DOI: 10.6084/m9.figshare.22282042.v2
title: Supporting Data from Energetic connectivity of diverse elasmobranch populations – implications for ecological resilience

description: Shark demographic information and stable isotope data used in this study.
DOI: 10.6084/m9.figshare.22282042
title: Supporting Data from Energetic connectivity of diverse elasmobranch populations – implications for ecological resilience

description: Shark demographic information and stable isotope data used in this study.
DOI: 10.6084/m9.figshare.22282042.v1
title: Supporting Data from Energetic connectivity of diverse elasmobranch populations – implications for ecological resilience

description: Shark demographic information and stable isotope data used in this study.
DOI: 10.34740/kaggle/dsv/5345673
title: YouTube Daily
DOI: 10.6084/m9.figshare.21456375.v3
title: Physicochemical parameters of groundwater in coastal sandy aquifer

description: In the Yangjiang profile, a total of 29 (27 groundwater samples and 2 surface water samples: seawater and aquaculture wastewater) and 32 (29 groundwater samples and 2 surface water samples: seawater and aquaculture wastewater) samples were collected on August 12, 2020 (wet season) and November 8, 2020 (dry season), respectively. The measurement procedures for the trace metals (As, Ba, Cd, Cr, Fe, Mn, Pb, and Zn) in groundwater samples were described elsewhere (Luo et al., 2021). In brief, the samples with high salinity (&gt;1) were first diluted and then analyzed using inductively coupled plasma mass spectrometry (ICP–MS) (Agilent 7900 Series, USA). The detection limits (μg/L) of trace metals were 0.12, 0.20, 0.05, 0.11, 0.82, 0.12, 0.09, and 0.67 for As, Ba, Cd, Cr, Fe, Mn, Pb, and Zn, respectively. A mixed standard solution and two standard reference materials were used to construct the calibration curve and control the analytical quality, respectively. The recoveries of the standard reference materials were 105.4%, 101.7%, 102.6%, 104.0%, and 103.4% for As, Cd, Cr, Pb, and Zn, respectively, indicating that the measured results were within the range of the certified values (Luo et al., 2021). Reagent blanks were determined for each sample analysis and trace metals were undetectable therein.
DOI: 10.6084/m9.figshare.21456375.v2
title: Physicochemical parameters of groundwater in coastal sandy aquifer

description: In the Yangjiang profile, a total of 29 (27 groundwater samples and 2 surface water samples: seawater and aquaculture wastewater) and 32 (29 groundwater samples and 2 surface water samples: seawater and aquaculture wastewater) samples were collected on August 12, 2020 (wet season) and November 8, 2020 (dry season), respectively. The measurement procedures for the trace metals (As, Ba, Cd, Cr, Fe, Mn, Pb, and Zn) in groundwater samples were described elsewhere (Luo et al., 2021). In brief, the samples with high salinity (&gt;1) were first diluted and then analyzed using inductively coupled plasma mass spectrometry (ICP–MS) (Agilent 7900 Series, USA). The detection limits (μg/L) of trace metals were 0.12, 0.20, 0.05, 0.11, 0.82, 0.12, 0.09, and 0.67 for As, Ba, Cd, Cr, Fe, Mn, Pb, and Zn, respectively. A mixed standard solution and two standard reference materials were used to construct the calibration curve and control the analytical quality, respectively. The recoveries of the standard reference materials were 105.4%, 101.7%, 102.6%, 104.0%, and 103.4% for As, Cd, Cr, Pb, and Zn, respectively, indicating that the measured results were within the range of the certified values (Luo et al., 2021). Reagent blanks were determined for each sample analysis and trace metals were undetectable therein.
DOI: 10.5519/qd.kxuwl20p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7564880
title: Dataset of acoustic intensity vector measurements around an upscaled ear model

description: A dataset of acoustic vector (particle velocity vector and scalar sound pressure) measurements of the sound field around an upscaled model of an ear. Data collected in July 2022 at the Aalto Acoustics Lab in Espoo, Finland. See the companion paper at AES for information about the contents of the dataset, measurement methodology, and example scripts. See the companion repository github.com/aaron-geldert/upscaled-ear-model-scripts for example MATLAB scripts using the dataset. Correspondence should be directed to Aaron Geldert (aarongeldert@gmail.com). <br>
DOI: 10.5281/zenodo.7564879
title: Dataset of acoustic intensity vector measurements around an upscaled ear model

description: A dataset of acoustic vector (particle velocity vector and scalar sound pressure) measurements of the sound field around an upscaled model of an ear. Data collected in July 2022 at the Aalto Acoustics Lab in Espoo, Finland. See the companion paper at AES for information about the contents of the dataset, measurement methodology, and example scripts. See the companion repository github.com/aaron-geldert/upscaled-ear-model-scripts for example MATLAB scripts using the dataset. Correspondence should be directed to Aaron Geldert (aarongeldert@gmail.com). <br>
DOI: 10.6084/m9.figshare.22574218.v2
title: Forced-Choice 1987 - 2022 meta-analysis

description: Databases related to the study "Assessing 36 years of the Forced-Choice design in Extra-Sensory Perception Research: A Meta-Analysis 1987-2022