cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5148460
title: SeaFlux data set: harmonised sea-air CO2 fluxes from surface pCO2 data products using a standardised approach

description: Fluxes calculated using standardised approach: \(F\text{CO}_2=K_0 \cdot K_w \cdot (p\text{CO}_2^\text{sea} - p\text{CO}_2^\text{atm})\ \cdot (1 - [ice])\). We provide each of the components to this equation to reduce the potential for errors in fluxes due to methodological differences. The netCDFs contain the following data: <strong>fgco2_all_winds_products: </strong>the sea-air CO2 flux for all spCO2 products (6) and <em>kw</em>s from all wind products (5). <strong>solWeis74</strong>: \(K_0\) is calculated using the Weiss (1974) parameterization with EN4 salinity and OISST temperatures <strong>kw_quadratic_scaled:</strong> \(k_w\) is calculated for winds with each being scaled independently to 14-C bomb flux estimate of 16.5 cm/hr using the quadratic formulation by Wanninkhof (1992). CCMPv2 ERA5 JRA55 NCEP1 NCEP2 <strong>spco2_SOCOM_unfilled</strong><em>: </em>\(p\text{CO}_2^\text{sea}\) downloaded from various sources contains the following products: CMEMS_FFNN CSIR_ML6 JENA_MLS JMA_MLR MPI_SOMFFN NIES_FNN <strong>spco2_filler</strong><em>: </em>scaled version of the Landschützer et al. (2020) climatology used to fill missing regions of <em>spco2_SOCOM_unfilled</em> <strong>pco2atm: </strong>\(p\text{CO}_2^\text{atm}\) is calculated from NOAA's marine boundary layer product with ERA5 mean sea level pressure corrected for pH2O <strong>ice: </strong>\([ice]\) is the ice fraction from the OISST product <strong>area_ocean:</strong><em> </em>the surface area of the ocean including fractional area of the coastal regions <strong><em>Units are listed in the metadata of each of the netCDF variables. </em></strong>
description: version 2021.04 now extends the variables to calculate fluxes from 1982-2020. The comparison period for fluxes is now limited to 1990-2019 (30 years). The area contains coastal fraction coverage. A missing strip along the longitude 179.5°E is filled in. Negative values of pCO2 are limited to 50 µatm (primarily affects JENA in Hudson Bay). version 2021.02 calibrates kw with 14-C bomb estimated global average kw (16.5 ± 3.2 cm/hr) where the average is calculated without ice weighting (v2021.01 included ice weighting). Further, the date range of the data has been increased from 1982 to 2020 where possible (not possible for the scaling factor and pCO2 product).
DOI: 10.5281/zenodo.5148532
title: SeaFlux: harmonised sea-air CO2 fluxes from surface pCO2 data products using a standardised approach

description: Fluxes calculated using standardised approach: \(F\text{CO}_2=K_0 \cdot K_w \cdot (p\text{CO}_2^\text{sea} - p\text{CO}_2^\text{atm})\ \cdot (1 - [ice])\). We provide each of the components to this equation to reduce the potential for errors in fluxes due to methodological differences. The netCDFs contain the following data: <strong>fgco2_all_winds_products: </strong>the sea-air CO2 flux for all spCO2 products (6) and <em>kw</em>s from all wind products (5). <strong>solWeis74</strong>: \(K_0\) is calculated using the Weiss (1974) parameterization with EN4 salinity and OISST temperatures <strong>kw_quadratic_scaled:</strong> \(k_w\) is calculated for winds with each being scaled independently to 14-C bomb flux estimate of 16.5 cm/hr using the quadratic formulation by Wanninkhof (1992). CCMPv2 ERA5 JRA55 NCEP1 NCEP2 <strong>spco2_SOCOM_unfilled</strong><em>: </em>\(p\text{CO}_2^\text{sea}\) downloaded from various sources contains the following products: CMEMS_FFNN CSIR_ML6 JENA_MLS JMA_MLR MPI_SOMFFN NIES_FNN <strong>spco2_filler</strong><em>: </em>scaled version of the Landschützer et al. (2020) climatology used to fill missing regions of <em>spco2_SOCOM_unfilled</em> <strong>pco2atm: </strong>\(p\text{CO}_2^\text{atm}\) is calculated from NOAA's marine boundary layer product with ERA5 mean sea level pressure corrected for pH2O <strong>ice: </strong>\([ice]\) is the ice fraction from the OISST product <strong>area_ocean:</strong><em> </em>the surface area of the ocean including fractional area of the coastal regions <strong><em>Units are listed in the metadata of each of the netCDF variables. </em></strong>
description: version 2021.04.02: removed some files that remained from v2021.02 that I didn't delete in v2021.04 version 2021.04 now extends the variables to calculate fluxes from 1982-2020. The comparison period for fluxes is now limited to 1990-2019 (30 years). The area contains coastal fraction coverage. A missing strip along the longitude 179.5°E is filled in. Negative values of pCO2 are limited to 50 µatm (primarily affects JENA in Hudson Bay). version 2021.02 calibrates kw with 14-C bomb estimated global average kw (16.5 ± 3.2 cm/hr) where the average is calculated without ice weighting (v2021.01 included ice weighting). Further, the date range of the data has been increased from 1982 to 2020 where possible (not possible for the scaling factor and pCO2 product).
DOI: 10.5281/zenodo.5148795
title: SeaFlux: harmonised sea-air CO2 fluxes from surface pCO2 data products using a standardised approach

description: Fluxes calculated using the standardized approach: \(F\text{CO}_2=K_0 \cdot K_w \cdot (p\text{CO}_2^\text{sea} - p\text{CO}_2^\text{atm})\ \cdot (1 - [ice])\). We provide each of the components to this equation to reduce the potential for errors in fluxes due to methodological differences. The netCDF files contain the following data: <strong>fgco2_all_winds_products: </strong>the sea-air CO2 flux for all spCO2 products (6) and <em>kw</em> from all wind products (5). <strong>fgco2_global: </strong>the globally integrated sea-air CO2 fluxes for all spCO2 products (6) and <em>kw</em> from all wind products (6) <strong>solWeis74</strong>: \(K_0\) is calculated using the Weiss (1974) parameterization with EN4 salinity and OISST temperatures <strong>kw_quadratic_scaled:</strong> \(k_w\) is calculated for winds with each being scaled independently to a 14-C bomb flux estimate of 16.5 cm/hr using the quadratic formulation by Wanninkhof (1992). CCMPv2 ERA5 JRA55 NCEP1 NCEP2 <strong>spco2_SOCOM_unfilled</strong><em>: </em>\(p\text{CO}_2^\text{sea}\) downloaded from various sources contains the following products: CMEMS_FFNN CSIR_ML6 JENA_MLS JMA_MLR MPI_SOMFFN NIES_FNN <strong>spco2_filler</strong><em>: </em>scaled version of the Landschützer et al. (2020) climatology used to fill missing regions of <em>spco2_SOCOM_unfilled</em> <strong>pco2atm: </strong>\(p\text{CO}_2^\text{atm}\) is calculated from NOAA's marine boundary layer product with ERA5 mean sea level pressure corrected for pH2O <strong>ice: </strong>\([ice]\) is the ice fraction from the OISST product <strong>area_ocean:</strong><em> </em>the surface area of the ocean including the fractional area of the coastal regions <strong><em>Units are listed in the metadata of each of the netCDF variables. </em></strong>
description: version 2021.04.03: includes globally integrated fluxes including all wind and pco2 products. version 2021.04.02: removed some files that remained from v2021.02 that I didn't delete in v2021.04 version 2021.04 now extends the variables to calculate fluxes from 1982-2020. The comparison period for fluxes is now limited to 1990-2019 (30 years). The area contains coastal fraction coverage. A missing strip along the longitude 179.5°E is filled in. Negative values of pCO2 are limited to 50 µatm (primarily affects JENA in Hudson Bay). version 2021.02 calibrates kw with 14-C bomb estimated global average kw (16.5 ± 3.2 cm/hr) where the average is calculated without ice weighting (v2021.01 included ice weighting). Further, the date range of the data has been increased from 1982 to 2020 where possible (not possible for the scaling factor and pCO2 product).
DOI: 10.22002/7fbwg-rx843
title: 10x Genomics PBMC Metadata for meK-Means

description: Metadata for 10x Genomics (v3) 10k PBMC data. Zip file includes an initial K-Means clustering on the data (K=4) and a list of literature markers for PBMCs.
DOI: 10.18739/a29z90d4b
title: Interviews with Water Sector Stakeholders in Rural Alaska, 2021-2022

description: This dataset includes anonymized interview data collected virtually and in-person with stakeholders from the Yukon-Kuskokwim Delta between November 2021 and August 2022. These interviews were designed to capture water sector stakeholders’ experiences and perceptions of their water infrastructure systems. Interview questions included, for example: “Can you walk us through a typical workday in your role?”; “Who do you interact with most often in your role?”; “What are some of the biggest challenges you face in your role in the water sector?”; and “How do you resolve issues that arise in the water system?” We conducted eight virtual interviews and nine in-person interviews with stakeholders between November 22, 2021 and August 5, 2022. Interviews were recorded (with permission), transcribed, checked for quality, and anonymized for archival.
DOI: 10.6084/m9.figshare.3761562.v2687
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.24030213
title: <b>Aesthetic Chills Modulate Reward Learning in Anhedonic Depression</b>

description: This repository contains the data analyzed in the study "Aesthetic Chills Modulate Reward Learning in Anhedonic Depression" by Jain et al. (2022). The study investigated whether experiencing aesthetic chills could enhance reward learning and positive affect in individuals with elevated depressive symptoms and anhedonia.The data includes:Participant demographic information (age, sex, ethnicity)Questionnaire scores on the Beck Depression Inventory (BDI) and Snaith-Hamilton Pleasure Scale (SHAPS) used to assess depression severity and anhedoniaProbabilistic Reward Task (PRT) data before and after exposure to chill-eliciting videos, including reward bias and discriminability metricsSelf-reported ratings of emotional valence, arousal, chills intensity, goosebumps, etc.Classification of participants into High Anhedonia, Low Anhedonia, and Control groupsThe data is anonymized to remove any personally identifiable information. Variables are labelled clearly and a codebook is provided to define abbreviations and explain the analysis procedures. The repository structure promotes reproducibility by including both the raw data and analysis code.This data enables further research into non-pharmacological aesthetic interventions for depression and specifically targeting reward processing deficits. It can facilitate metanalysis and replication studies on the phenomenon of chills. The availability of both pre and post intervention metrics is valuable for computational modeling work as well.
DOI: 10.6084/m9.figshare.24026751
title: Analysed Data_Swanepoel_219126410

description: Frequency distribution table illustrating percentages of two questions in Group 5's questionnaire.
DOI: 10.6084/m9.figshare.24026751.v2
title: Analysed Data_Swanepoel_219126410

description: Frequency distribution table illustrating percentages of two questions in Group 5's questionnaire.
DOI: 10.6084/m9.figshare.24026751.v1
title: Analysed Data_Swanepoel_219126410

description: Frequency distribution table illustrating percentages of two questions in Group 5's questionnaire.
DOI: 10.57909/maxar/ikonos_msi_l3a.001
title: IKONOS Level 3A Multispectral 4-Band Satellite Imagery
DOI: 10.57909/maxar/ikonos_pan_l3a.001
title: IKONOS Level 3A Panchromatic Satellite Imagery
DOI: 10.57909/maxar/qb02_msi_l3a.001
title: QuickBird Level 3A Multispectral 4-Band Satellite Imagery
DOI: 10.57909/maxar/qb02_pan_l3a.001
title: QuickBird Level 3A Panchromatic Satellite Imagery
DOI: 10.57909/maxar/wv03_cavis_l1b.001
title: WorldView-3 Level 1B Clouds, Aerosols, Vapours, Ice, and Snow 12-Band Satellite Imagery
DOI: 10.57909/maxar/wv03_cavis_l2a.001
title: WorldView-3 Level 2A Clouds, Aerosols, Vapours, Ice, and Snow 12-Band Satellite Imagery
DOI: 10.57909/maxar/qb02_pansharpened_l2a.001
title: QuickBird Level 2A Pansharpened Satellite Imagery
DOI: 10.57909/maxar/wv02_pansharpened_l2a.001
title: WorldView-2 Level 2A Pansharpened Satellite Imagery
DOI: 10.57909/maxar/wv03_pansharpened_l2a.001
title: WorldView-3 Level 2A Pansharpened Satellite Imagery
DOI: 10.18112/openneuro.ds004715.v1.0.0
title: Symmetry Luminance BOLD fMRI
DOI: 10.5281/zenodo.8280491
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sebastião Phillipes Martins Estácio da Veiga, http://www.wikidata.org/entity/Q10369134. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q10369134
DOI: 10.5281/zenodo.8280490
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sebastião Phillipes Martins Estácio da Veiga, http://www.wikidata.org/entity/Q10369134. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q10369134
DOI: 10.5281/zenodo.8280493
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Archduke Rainer Joseph of Austria, http://www.wikidata.org/entity/Q442756. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q442756
DOI: 10.5281/zenodo.8280492
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Archduke Rainer Joseph of Austria, http://www.wikidata.org/entity/Q442756. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q442756
DOI: 10.5281/zenodo.8280495
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Maximilian I of Mexico, http://www.wikidata.org/entity/Q84192. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q84192
DOI: 10.3886/hxc2-x031
title: Georgia Compact II - Industry-Led Skills and Workforce Development (TVET): Baseline and Final Data Set
DOI: 10.3886/2064-5082
title: Georgia Compact II - Industry-Led Skills and Workforce Development (TVET): Baseline and Final Data Set
DOI: 10.5517/ccdc.csd.cc2fyt7g
title: CCDC 2262976: Experimental Crystal Structure Determination

description: Related Article: Alberto M. Tous-Granados, Arturo J. Hernandez-Maldonado|2023|Chem.Commun.|59|10020|doi:10.1039/D3CC02683C
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.cc2g404s
title: CCDC 2267964: Experimental Crystal Structure Determination

description: Related Article: S. Liyanage, J.S. Ovens, D.L. Bryce|2023|IUCrData|8|x230637|doi:10.1107/S2414314623006375
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: 10.5281/zenodo.8280463
title: desmognathus_catahoula_zanfona_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8280462
title: desmognathus_catahoula_zanfona_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22262491.v1
title: Rhinoceros3D files and Grasshopper3D definitions used in the paper EPiC Grasshopper: A bottom-up parametric plugin to quantify life cycle embodied environmental flows of buildings and infrastructure assets

description: This dataset contains: <br> The Rhinoceros3D file used as a standard residential building case study for Australia <br> The Grasshopper3D definitions (×3) used to quantify the life cycle embodied environmental flows of the case study building as well as a parametric case study building and a road sections <br> The Grasshopper3D definitions require EPiC Grasshopper to run. Download it from: https://doi.org/10.6084/m9.figshare.22773653.v1
DOI: 10.6084/m9.figshare.24030030
title: Covid_Supplement_Use.xlsx

description: Figshare: This is a questionnaire-based survey that illustrates the consumption of Dietary and Herbal Supplements during COVID-19 pandemic among indigenous Nigerians (Holdbrooke and Afolabi, 2021). Male and female respondents were aged 18 years and above. Data harvested from the participants were entered into Excel sheet titled Covid_Supplement_Use xlxsData are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).<br>
DOI: 10.6084/m9.figshare.24030030.v1
title: Covid_Supplement_Use.xlsx

description: Figshare: This is a questionnaire-based survey that illustrates the consumption of Dietary and Herbal Supplements during COVID-19 pandemic among indigenous Nigerians (Holdbrooke and Afolabi, 2021). Male and female respondents were aged 18 years and above. Data harvested from the participants were entered into Excel sheet titled Covid_Supplement_Use xlxsData are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).<br>
DOI: 10.7298/gtdr-0032
title: Video recordings for pore water velocities and dynamic contact angle measurements for unstable infiltration fronts in dry sands
DOI: 10.25573/data.24021381
title: Digital Surface Models, Barro Colorado, 2018-2023

description: These are processed Digital Surface Models (DSMs) associated with and built on the workflow from the manuscript "Soils and topography control natural disturbance rates and thereby forest structure in a lowland tropical landscape." This includes full island drone flights across Barro Colorado, Panama, using drone photogrammetry between 2018 and 2023.Notes:Includes a 2009 LiDAR DEM of Barro ColoradoDSMs from 2018-2021 have QAQC, corrected for clouds which wasn't needed for the subsequent years
DOI: 10.25573/data.24021381.v2
title: Digital Surface Models, Barro Colorado, 2018-2023

description: These are processed Digital Surface Models (DSMs) associated with and built on the workflow from the manuscript "Soils and topography control natural disturbance rates and thereby forest structure in a lowland tropical landscape." This includes full island drone flights across Barro Colorado, Panama, using drone photogrammetry between 2018 and 2023.Notes:Includes a 2009 LiDAR DEM of Barro ColoradoDSMs from 2018-2021 have QAQC, corrected for clouds which wasn't needed for the subsequent years
DOI: 10.25573/data.24021381.v1
title: Digital Surface Models, Whole Island, 2018-2023

description: These are processed Digital Surface Models (DSMs) associated with and built on the workflow from the manuscript "Soils and topography control natural disturbance rates and thereby forest structure in a lowland tropical landscape." This includes full island drone flights across Barro Colorado, Panama, using drone photogrammetry between 2018 and 2023.Notes:Includes a LiDAR DEM of Barro ColoradoDSMs from 2018-2020 have QAQC, corrected for clouds which wasn't needed for the subsequent yearsDSM from 2023 has F in the file name to distinguish it from an earlier whole island flight that had processing issues
DOI: 10.6084/m9.figshare.22713823
title: Detailed information of sequenced samples

description: Samples from the CMN collection. Subspecies assignments were based on Hall (1981) and Nowak (1995). The specimens CMNMA 18251 and CMNMA 21571 were labeled by the CMN mammal collection staff as putative hybrids after Lawrence and Bossert (1967).
DOI: 10.6084/m9.figshare.22713823.v2
title: Detailed information of sequenced samples

description: Samples from the CMN collection. Subspecies assignments were based on Hall (1981) and Nowak (1995). The specimens CMNMA 18251 and CMNMA 21571 were labeled by the CMN mammal collection staff as putative hybrids after Lawrence and Bossert (1967).
DOI: 10.6084/m9.figshare.22713823.v1
title: Detailed information and mapping metrics summary.pdf

description: Detailed information and mapping metrics summary
DOI: 10.5281/zenodo.8280533
title: agapornis_swindernianus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8280532
title: agapornis_swindernianus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8250724
title: Links Between Optical and X-ray Light in Scorpius X-1

description: Optical data taken from the Argos photometer in 2006.
DOI: 10.5281/zenodo.8250723
title: Links Between Optical and X-ray Light in Scorpius X-1

description: Optical data taken from the Argos photometer in 2006.
DOI: 10.5281/zenodo.8280557
title: eurycea_bislineata_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8280556
title: eurycea_bislineata_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.24030324
title: netTransfer_20cat.mat

description: Trained EmoNet model, which uses AlexNet with an emotion category-specific final layer. In Matlab.https://www.science.org/doi/full/10.1126/sciadv.aaw4358<br>
DOI: 10.6084/m9.figshare.22568338
title: Resin tag and shear bond strength data

description: <strong>Effect of Green Tea Extract Antioxidant on Dentin Shear Bond Strength and Resin-Tag Penetration Depth after Non-vital Bleaching</strong> <br> This is the raw data we got from the laboratory. <br> This research was conducted at the Chemistry Laboratory, Faculty of Medicine, University of Indonesia, and the Dental Materials Research and Development Laboratory, Faculty of Dentistry, University of Indonesia, in March-April 2022. <br> This study was approved by the Ethics Committee (10/Ethical Approval/FKGUI/III/2022; 09/Ethical Exempted/FKGUI/IV/2022) and conducted in accordance with the Declaration of Helsinki. This study aimed to evaluate the effect of 10% and 35% green tea (10% and 35% GT) extract as an antioxidant after 2 minutes of application on dentin shear bond strength and resin tags penetration depth after non-vital bleaching. <br> The shear bond strength assessment was done using a Universal Testing Machine with a 0.5 mm/minute cross-head speed. Confocal Laser Scanning Microscopy (CLSM) with a wavelength of 560 nm and a lens magnification of 40x was used to analyze the resin tag penetration by the fluorescence glow of rhodamine B.