cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4456323
title: AXRX4F3_UPVEHU_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4454961
title: PVinverter_UPVEHU_Data_V1.csv

description: 5 sec recording of mains voltage with a PV inverter (switching frequency at around 20 kHz). Original MAT file converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4455430
title: AXRX4F3-UPVEHUdecimated_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file decimated to reduce sampling rate to 1MHz and converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4457771
title: qdgc Benin

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> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <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> <br> <br> The attributes for each table are:<br> <br> <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> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <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> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <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. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received 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> <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> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 21th of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4457770
title: qdgc Benin

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> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <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> <br> <br> The attributes for each table are:<br> <br> <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> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <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> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <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. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received 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> <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> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 21th of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4457801
title: qdgc Burkina Faso

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> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <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> <br> <br> The attributes for each table are:<br> <br> <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> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <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> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <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. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received 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> <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> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 21th of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4457800
title: qdgc Burkina Faso

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> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <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> <br> <br> The attributes for each table are:<br> <br> <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> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <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> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <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. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received 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> <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> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 21th of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.15482/usda.adc/1520724
title: Alfalfa Response to Potassium Rate and Timing of Application
DOI: 10.15468/96smd9
title: A Rosetta Stone for eastern Pacific Caecidae (Gastropoda: Caenogastropoda)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Raines, Bret K. (2020): A Rosetta Stone for eastern Pacific Caecidae (Gastropoda: Caenogastropoda). Zootaxa 4827 (1): 1-146, DOI: https://doi.org/10.11646/zootaxa.4827.1.1
DOI: 10.5281/zenodo.4457748
title: PlosONE: The challenge of learning a new language in adulthood: Evidence from a multi-methodological neuroscientific approach

description: This data set for the publication "The challenge of learning a new language in adulthood: Evidence from a multi-methodological neuroscientific approach" in PlosONE (2021) comprises: EEG: Event-related brain potential data (single subjects, microvolt values, regions of interest) for both correctly identified and correctly and incorrectly identified (merged) pseudoword-picture pairings (PPP) for learned as well as new PPPs for time windows 650-800 and 800-1300 ms. fNIRS: oxy-Hb and deoxy-Hb data (single subjects, beta values, regions of interest) for both correctly identified and correctly and incorrectly identified (merged) pseudoword-picture pairings (PPP) for learned as well as new PPPs Behavioral data: Task Performance during the recognition experiment (reaction times for and percentage of correctly identified learned and new PPPs)
DOI: 10.5281/zenodo.4457747
title: PlosONE: The challenge of learning a new language in adulthood: Evidence from a multi-methodological neuroscientific approach

description: This data set for the publication "The challenge of learning a new language in adulthood: Evidence from a multi-methodological neuroscientific approach" in PlosONE (2021) comprises: EEG: Event-related brain potential data (single subjects, microvolt values, regions of interest) for both correctly identified and correctly and incorrectly identified (merged) pseudoword-picture pairings (PPP) for learned as well as new PPPs for time windows 650-800 and 800-1300 ms. fNIRS: oxy-Hb and deoxy-Hb data (single subjects, beta values, regions of interest) for both correctly identified and correctly and incorrectly identified (merged) pseudoword-picture pairings (PPP) for learned as well as new PPPs Behavioral data: Task Performance during the recognition experiment (reaction times for and percentage of correctly identified learned and new PPPs)
DOI: 10.6084/m9.figshare.13626203.v1
title: SuppIementary Data 1-Temp ranges for invaded regions and Raw Data for predators.xlsx

description: This data supports the findings of Functional Response (FR) experiments to infer impact of the Australian redclaw crayfish <i>Cherax quadricarinatus </i>and Louisiana red swamp crayfish <i>Procambarus clarkii </i>in Africa, a continent devoid of native crayfish species except for Madagascar. The data contains the temperature ranges of freshwater systems in Southern Africa which supports the use of the two temperature treatment used in the study. The data also contains the morphometric measurements of crayfish and crabs used for the FR experiments as well as the individual per capita consumption data.
DOI: 10.6084/m9.figshare.13204382
title: Supplemental Information (presence-absence matrix) from “Save the survivors: the remarkable ant diversity of the last protected fragment of savanna in Southern Brazil”.

description: The dataset is a presence-absence matrix, obtained for 136 ant species sampled at the Parque Estadual do Cerrado (Cerrado State Park - CSP). The park has 420 ha and is located 10 km northeast of the urban perimeter of Jaguariaíva (24°10'S 49°39'W). We established three 380 m transects, separated from each other by 1 km. Along each transect, we marked 20 sampling points, spaced by 20 m. The points were alternated to sample the ground-dwelling ants on the soil surface and the arboreal ants on the trees, totaling 60 samples, 30 on soil, and 30 arboreal. In both strata, we used pitfall traps, which consisted of a small plastic cup of 250 ml, 8.5 cm high, and 7.8 cm in diameter. To collect the ground-dwelling ants, four pitfall traps containing water and detergent were arranged in the soil in a square grid of 2.5m x 2.5m. In the arboreal stratum, four pitfall traps, containing human urine diluted 1:2 in water and detergent were fixed on the trees at approximately 2.5 m high. The pitfall traps remained installed for 48 hours; after that, the contents of the four pitfalls in each point were combined into a single plastic bag, making up a single composite sample. <br>The samples were transported to the Laboratório de Sistemática e Biologia de Formigas at Universidade Federal do Paraná (UFPR), Curitiba, Brazil, where the collected ants were sorted, mounted, and identified to species whenever possible. <br>
DOI: 10.6084/m9.figshare.13204382.v1
title: Supplemental Information (presence-absence matrix) from “Save the survivors: the remarkable ant diversity of the last protected fragment of savanna in Southern Brazil”.

description: The dataset is a presence-absence matrix, obtained for 136 ant species sampled at the Parque Estadual do Cerrado (Cerrado State Park - CSP). The park has 420 ha and is located 10 km northeast of the urban perimeter of Jaguariaíva (24°10'S 49°39'W). We established three 380 m transects, separated from each other by 1 km. Along each transect, we marked 20 sampling points, spaced by 20 m. The points were alternated to sample the ground-dwelling ants on the soil surface and the arboreal ants on the trees, totaling 60 samples, 30 on soil, and 30 arboreal. In both strata, we used pitfall traps, which consisted of a small plastic cup of 250 ml, 8.5 cm high, and 7.8 cm in diameter. To collect the ground-dwelling ants, four pitfall traps containing water and detergent were arranged in the soil in a square grid of 2.5m x 2.5m. In the arboreal stratum, four pitfall traps, containing human urine diluted 1:2 in water and detergent were fixed on the trees at approximately 2.5 m high. The pitfall traps remained installed for 48 hours; after that, the contents of the four pitfalls in each point were combined into a single plastic bag, making up a single composite sample. <br>The samples were transported to the Laboratório de Sistemática e Biologia de Formigas at Universidade Federal do Paraná (UFPR), Curitiba, Brazil, where the collected ants were sorted, mounted, and identified to species whenever possible. <br>
DOI: 10.6084/m9.figshare.13626332
title: JCPB_data.xlsx

description: Data from the swim tunnel trials of the bearded fireworm after hypoxia exposure at Texas A&M University at Galveston.
DOI: 10.6084/m9.figshare.13626332.v1
title: JCPB_data.xlsx

description: Data from the swim tunnel trials of the bearded fireworm after hypoxia exposure at Texas A&M University at Galveston.
DOI: 10.6084/m9.figshare.13626203
title: Temperature ranges for invaded regions in Southern Africa and Raw Data for predators (mophometric measurements and FRs)

description: This data supports the findings of Functional Response (FR) experiments to infer impact of the Australian redclaw crayfish <i>Cherax quadricarinatus </i>and Louisiana red swamp crayfish <i>Procambarus clarkii </i>in Africa, a continent devoid of native crayfish species except for Madagascar. The data contains the temperature ranges of freshwater systems in Southern Africa which supports the use of the two temperature treatment used in the study. The data also contains the morphometric measurements of crayfish and crabs used for the FR experiments as well as the individual per capita consumption data.
DOI: 10.6084/m9.figshare.13626203.v2
title: SuppIementary Data 1-Temp ranges for invaded regions and Raw Data for predators.xlsx

description: This data supports the findings of Functional Response (FR) experiments to infer impact of the Australian redclaw crayfish <i>Cherax quadricarinatus </i>and Louisiana red swamp crayfish <i>Procambarus clarkii </i>in Africa, a continent devoid of native crayfish species except for Madagascar. The data contains the temperature ranges of freshwater systems in Southern Africa which supports the use of the two temperature treatment used in the study. The data also contains the morphometric measurements of crayfish and crabs used for the FR experiments as well as the individual per capita consumption data.
DOI: 10.20375/0000-000d-f80b-0
title: Sakharova_questionnaire.pdf
DOI: 10.20375/0000-000d-f80c-f
title: Sakharova_street_desc.md
DOI: 10.20375/0000-000d-f80d-e
title: Sakharova_street_desc.pdf
DOI: 10.20375/0000-000d-f80e-d
title: Sakharova_street.xls
DOI: 10.5281/zenodo.4457880
title: Replication package for «A Reply to Campbell and Mau»

description: Replication File for Review of Economic Studies manuscript 28949-2 "A Reply to Campbell and Mau"
DOI: 10.5281/zenodo.4457879
title: Replication package for «A Reply to Campbell and Mau»

description: Replication File for Review of Economic Studies manuscript 28949-2 "A Reply to Campbell and Mau"