cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4453621
title: qdgc Madagascar

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it.<br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and receicved advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 20th of January, 2021<br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4453620
title: qdgc Madagascar

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it.<br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and receicved advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 20th of January, 2021<br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4453629
title: qdgc Malawi

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it.<br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and receicved advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 20th of January, 2021<br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4453628
title: qdgc Malawi

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it.<br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and receicved advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 20th of January, 2021<br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4453185
title: Breznice magnetometer data

description: Data from the magnetometer survey on the archaeological site of Březnice (Czechia). The site represents one of the large settlements of the Late Bronze Age (Ha A2/B1, 14C: 1124–976 BC) in Bohemia. It became known mainly for a high number of so-called ‘trenches’, oblong pit features (breadth around 1 m, length 4–7 m), remarkable not only for their specific shape but also for their contents (unusual amounts of pottery, daub, loom weights and other finds, often with traces of a strong fire). In 2018–20, a research project focusing on the study of the site was realized. Magnetometer survey became an integral part of the project. A 5-channel fluxgate gradiometer from Sensys (Germany) was used; the vertical gradient of the Z component of the Earth magnetic field was measured. In total, the survey covered an area of over 17 hectares and included over 1.8 million measurements. <strong> </strong> Through this repository, the authors want to make the Březnice data free for further research that could supplement or modify the results obtained so far. Their own attempt at the data analysis and interpretation has been published in Kuna, M. et al., A quantitative approach to magnetometer survey data: the case of the Late Bronze Age site of Březnice. Journal of Archaeological Science 126 (2021) 105298 (DOI: https://doi.org/10.1016/j.jas.2020.105298). The source data is contained in file 01 in the form of a GIS vector point layer. File 02 displays the identified anomalies; their properties are in file 03. Files 04-09 contain additional data.
DOI: 10.18112/openneuro.ds003481.v1.0.0
title: Pragmatic Language
DOI: 10.5281/zenodo.4453184
title: Breznice magnetometer data

description: Data from the magnetometer survey on the archaeological site of Březnice (Czechia). The site represents one of the large settlements of the Late Bronze Age (Ha A2/B1, 14C: 1124–976 BC) in Bohemia. It became known mainly for a high number of so-called ‘trenches’, oblong pit features (breadth around 1 m, length 4–7 m), remarkable not only for their specific shape but also for their contents (unusual amounts of pottery, daub, loom weights and other finds, often with traces of a strong fire). In 2018–20, a research project focusing on the study of the site was realized. Magnetometer survey became an integral part of the project. A 5-channel fluxgate gradiometer from Sensys (Germany) was used; the vertical gradient of the Z component of the Earth magnetic field was measured. In total, the survey covered an area of over 17 hectares and included over 1.8 million measurements. <strong> </strong> Through this repository, the authors want to make the Březnice data free for further research that could supplement or modify the results obtained so far. Their own attempt at the data analysis and interpretation has been published in Kuna, M. et al., A quantitative approach to magnetometer survey data: the case of the Late Bronze Age site of Březnice. Journal of Archaeological Science 126 (2021) 105298 (DOI: https://doi.org/10.1016/j.jas.2020.105298). The source data is contained in file 01 in the form of a GIS vector point layer. File 02 displays the identified anomalies; their properties are in file 03. Files 04-09 contain additional data.
DOI: 10.6084/m9.figshare.13619090
title: StudentHuntingSurveyData_1995-2019_RawData.xlsx

description: Data on student hunting activities during the period of 1995 to 2019 in the Mississippi State University Department of Forestry’s Forest Recreation Management course.
DOI: 10.6084/m9.figshare.13619090.v1
title: StudentHuntingSurveyData_1995-2019_RawData.xlsx

description: Data on student hunting activities during the period of 1995 to 2019 in the Mississippi State University Department of Forestry’s Forest Recreation Management course.
DOI: 10.5281/zenodo.4453648
title: Data for Developmental cell programs are co-opted in inflammatory skin disease - filtered, annotated anndata object

description: Dataset to accompany BioRxiv preprint "Poised cell circuits in human skin are activated in disease" (https://www.biorxiv.org/content/10.1101/2020.11.05.369363v1). Data in AnnData (h5ad) format. Preprocessed to exclude doublets and low quality cells (&lt;200 genes and &gt;20% mitochondrial content). Includes neighborhood graph and UMAP coordinates and annotation from the manuscript in metadata. Full dataset with annotation ("combined") in obs.
description: This has been updated - the previous version had multiple old annotations that are no longer in use,
DOI: 10.5281/zenodo.4453587
title: PaCa_Control1_R2_001.fastq

description: Control1_Read2
DOI: 10.5281/zenodo.4453586
title: PaCa_Control1_R2_001.fastq

description: Control1_Read2
DOI: 10.5281/zenodo.4293999
title: Body kinematics for generating simulated marker trajectories

description: Inverse kinematics used to generate simulated marker trajectories for use with an automatic motion capture marker labelling algorithm (https://github.com/aclouthier/auto-marker-label).
DOI: 10.5281/zenodo.4293998
title: Body kinematics for generating simulated marker trajectories

description: Inverse kinematics used to generate simulated marker trajectories for use with an automatic motion capture marker labelling algorithm (https://github.com/aclouthier/auto-marker-label).
DOI: 10.5281/zenodo.4453706
title: K2 Simulation Data Set

description: Simulation results of rainfall-runoff events over the upper Arroyo Seco Basin using KINEROS2 described in the paper "The timing and magnitude of changes to Hortonian overland flow at the watershed scale during the post-fire recovery process" by <strong>Tao Liu</strong><strong>, Luke A. McGuire, Haiyan Wei, Francis K. Rengers, Hoshin Gupta, Lin Ji, David C. Goodrich </strong>submitted to Hydrological Processes.
DOI: 10.5281/zenodo.3795197
title: K2 Simulation Data Set

description: Simulation results of rainfall-runoff events over the upper Arroyo Seco Basin using KINEROS2 described in the paper "The timing and magnitude of changes to Hortonian overland flow at the watershed scale during the post-fire recovery process" by <strong>Tao Liu</strong><strong>, Luke A. McGuire, Haiyan Wei, Francis K. Rengers, Hoshin Gupta, Lin Ji, David C. Goodrich </strong>submitted to Hydrological Processes.
DOI: 10.25422/azu.data.13385120
title: Supplementary material for "Mars: Abundant Recurring Slope Lineae (RSL) Following the Planet-Encircling Dust Event (PEDE) of 2018"

description: Supplementary data and figures provided for "Mars: Abundant Recurring Slope Lineae (RSL) Following the Planet-Encircling Dust Event (PEDE) of 2018" submitted to Journal of Geophysical Research - Planets https://doi.org/10.1029/2020JE006575<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.13385120.v1
title: Supplementary material for "Mars: Abundant Recurring Slope Lineae (RSL) Following the Planet-Encircling Dust Event (PEDE) of 2018"

description: Supplementary data and figures provided for "Mars: Abundant Recurring Slope Lineae (RSL) Following the Planet-Encircling Dust Event (PEDE) of 2018" submitted to Journal of Geophysical Research - Planets https://doi.org/10.1029/2020JE006575<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.6084/m9.figshare.3761562.v1750
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: 10.5281/zenodo.4453715
title: FCARKA102

description: Control2_Read1
DOI: 10.5281/zenodo.4453714
title: FCARKA102

description: Control2_Read1
DOI: 10.25919/kwqv-t191
title: Banksia marginata seed production areas (SPAs)

description: Microsatellite and SNP data were generated to assess genetic diversity, population genetic structure and relatedness in two SPAs and remnant populations in the Goulburn Brokn CMA Victoria
DOI: 10.25439/rmt.13114559
title: Data from: Reproductive isolation in alpine gingers: how do co-existing Roscoea (R. purpurea and R. tumjensis) conserve species integrity?

description: Multiple barriers may contribute to reproductive isolation between closely related species. Understanding the relative strength of these barriers can illuminate the ecological factors that currently maintain species integrity and how these factors originally promoted speciation. Two Himalayan alpine gingers, Roscoea purpurea and R. tumjensis, occur sympatrically in central Nepal and have such similar morphology that it is not clear whether or how they maintain a distinct identity. Our quantitative measurements of the components of reproductive isolation show that they are, in fact, completely isolated by a combination of phenological displacement of flowering, earlier for R. tumjensis and later for R. purpurea, and complete fidelity of visitation by different pollinator species, bumblebees for R. tumjensis and a long-tongued fly for R. purpurea. Furthermore, the nectar of R. tumjensis flowers is available to the shorter-tongued bumblebees while R. purpurea nectar is less accessible, requiring deep probing from long-tongued flies. Although flowering phenology is a strong current barrier that seemingly obviates any need for pollinator discrimination, this current pattern need not reflect selective forces occurring at the initial divergence of R. tumjensis. There has been considerable pollinator switching during the radiation of the Himalayan Roscoea, and the association of flowering time with type of pollinator in these sympatric species may have originated among the earliest or latest flowering individuals or populations of an ancestor in order to exploit either bumblebee activity early in the breeding season or long-tongued fly abundance later in the season. These two sympatric Roscoea species add to accumulating evidence of the primacy of pre-zygotic pollination traits in speciation among angiosperms even in the absence of post-zygotic incompatibility.
DOI: 10.25439/rmt.13114559.v2
title: Data from: Reproductive isolation in alpine gingers: how do co-existing Roscoea (R. purpurea and R. tumjensis) conserve species integrity?

description: Multiple barriers may contribute to reproductive isolation between closely related species. Understanding the relative strength of these barriers can illuminate the ecological factors that currently maintain species integrity and how these factors originally promoted speciation. Two Himalayan alpine gingers, Roscoea purpurea and R. tumjensis, occur sympatrically in central Nepal and have such similar morphology that it is not clear whether or how they maintain a distinct identity. Our quantitative measurements of the components of reproductive isolation show that they are, in fact, completely isolated by a combination of phenological displacement of flowering, earlier for R. tumjensis and later for R. purpurea, and complete fidelity of visitation by different pollinator species, bumblebees for R. tumjensis and a long-tongued fly for R. purpurea. Furthermore, the nectar of R. tumjensis flowers is available to the shorter-tongued bumblebees while R. purpurea nectar is less accessible, requiring deep probing from long-tongued flies. Although flowering phenology is a strong current barrier that seemingly obviates any need for pollinator discrimination, this current pattern need not reflect selective forces occurring at the initial divergence of R. tumjensis. There has been considerable pollinator switching during the radiation of the Himalayan Roscoea, and the association of flowering time with type of pollinator in these sympatric species may have originated among the earliest or latest flowering individuals or populations of an ancestor in order to exploit either bumblebee activity early in the breeding season or long-tongued fly abundance later in the season. These two sympatric Roscoea species add to accumulating evidence of the primacy of pre-zygotic pollination traits in speciation among angiosperms even in the absence of post-zygotic incompatibility.