cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4697262
title: Figure 6 from article Crystals "Cadmium Telluride Nanocomposite Films Formation from Thermal Decomposition of Cadmium Carboxylate Precursor and Their Photoluminescence Shift from Green to Red"

description: The dataset includes two files: the word file describes the type of sample and the procedures used to pick up the data; the excel file includes the raw data used to obtain the plots of figure 6. In the following is reported the description of figure 6 as wrote in the paper: Normalized absorption and PL emission spectra for CdTe QDs via ex situ route, synthesized at different reaction times
DOI: 10.5281/zenodo.4697261
title: Figure 6 from article Crystals "Cadmium Telluride Nanocomposite Films Formation from Thermal Decomposition of Cadmium Carboxylate Precursor and Their Photoluminescence Shift from Green to Red"

description: The dataset includes two files: the word file describes the type of sample and the procedures used to pick up the data; the excel file includes the raw data used to obtain the plots of figure 6. In the following is reported the description of figure 6 as wrote in the paper: Normalized absorption and PL emission spectra for CdTe QDs via ex situ route, synthesized at different reaction times
DOI: 10.14272/piklcvqdbvthfg-uhfffaoysa-m/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1-methyl-2-pyridin-2-ylpyridin-1-ium;iodide)
title: InChI=1S/C11H11N2.HI/c1-13-9-5-3-7-11(13)10-6-2-4-8-12-10;/h2-9H,1H3;1H/q+1;/p-1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 9.63 (td, J = 0.7 Hz, J = 6.2 Hz, 1H), 8.80 (ddd, J = 0.8 Hz, J = 1.6 Hz, J = 4.8 Hz, 1H), 8.71 (t, J = 7.8 Hz, 1H), 8.26 (ddd, J = 1.5 Hz, J = 6.2 Hz, J = 7.8 Hz, 1H), 8.15–8.12 (m, 2H), 8.08–8.03 (m, 1H), 7.59 (ddd, J = 1.3 Hz, J = 4.9 Hz, J = 7.7 Hz, 1H), 4.54 (s, 3H).
DOI: 10.14272/piklcvqdbvthfg-uhfffaoysa-m/chmo0001150
title: 1H--1H correlation spectroscopy (1H-1H COSY) (1-methyl-2-pyridin-2-ylpyridin-1-ium;iodide)
title: InChI=1S/C11H11N2.HI/c1-13-9-5-3-7-11(13)10-6-2-4-8-12-10;/h2-9H,1H3;1H/q+1;/p-1

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.14272/piklcvqdbvthfg-uhfffaoysa-m/chmo0000485
title: high-resolution electrospray ionisation mass spectrometry (HRESIMS) (1-methyl-2-pyridin-2-ylpyridin-1-ium;iodide)
title: InChI=1S/C11H11N2.HI/c1-13-9-5-3-7-11(13)10-6-2-4-8-12-10;/h2-9H,1H3;1H/q+1;/p-1

description: dataset for high-resolution electrospray ionisation mass spectrometry (HRESIMS) HRMS-ESI+ (m/z): calcd. for [M-I]+: 171.09167 (100) [C11H11N2]+, 172.09470 (12) [12C1013C1H11N2]+; found: 171.09095 (100), 172.09389 (21).
DOI: 10.14272/piklcvqdbvthfg-uhfffaoysa-m/chmo0000763
title: attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) (1-methyl-2-pyridin-2-ylpyridin-1-ium;iodide)
title: InChI=1S/C11H11N2.HI/c1-13-9-5-3-7-11(13)10-6-2-4-8-12-10;/h2-9H,1H3;1H/q+1;/p-1

description: dataset for attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) IR (ATR, ṽ) = 3064 (w), 3044 (w), 3031 (w), 3009 (w), 3002 (w), 2945 (vw), 2838 (vw), 2800 (vw), 1884 (vw), 1628 (s), 1576 (m), 1570 (w), 1521 (m), 1472 (w), 1443 (m), 1433 (s), 1407 (w), 1319 (vw), 1286 (m), 1278 (w), 1234 (vw), 1179 (vs), 1165 (w), 1159 (w), 1152 (w), 1138 (w), 1099 (w), 1071 (vw), 1034 (w), 991 (m), 983 (w), 966 (vw), 901 (w), 809 (w), 800 (m), 783 (vs), 754 (m), 735 (m), 699 (vw), 650 (m), 620 (s), 567 (w), 544 (w), 521 (w) cm–1.
DOI: 10.14272/piklcvqdbvthfg-uhfffaoysa-m/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) (1-methyl-2-pyridin-2-ylpyridin-1-ium;iodide)
title: InChI=1S/C11H11N2.HI/c1-13-9-5-3-7-11(13)10-6-2-4-8-12-10;/h2-9H,1H3;1H/q+1;/p-1

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/piklcvqdbvthfg-uhfffaoysa-m/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1-methyl-2-pyridin-2-ylpyridin-1-ium;iodide)
title: InChI=1S/C11H11N2.HI/c1-13-9-5-3-7-11(13)10-6-2-4-8-12-10;/h2-9H,1H3;1H/q+1;/p-1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 153.0, 150.0, 149.7, 147.9, 146.1, 138.3, 130.1, 128.1, 126.8, 126.0, 48.6.
DOI: 10.14272/piklcvqdbvthfg-uhfffaoysa-m/chmo0001148
title: 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) (1-methyl-2-pyridin-2-ylpyridin-1-ium;iodide)
title: InChI=1S/C11H11N2.HI/c1-13-9-5-3-7-11(13)10-6-2-4-8-12-10;/h2-9H,1H3;1H/q+1;/p-1

description: dataset for 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
DOI: 10.14272/piklcvqdbvthfg-uhfffaoysa-m.1
title: 1-methyl-2-pyridin-2-yl-pyridin-1-ium;iodide
title: InChI=1S/C11H11N2.HI/c1-13-9-5-3-7-11(13)10-6-2-4-8-12-10;/h2-9H,1H3;1H/q+1;/p-1

description: This dataset contains experimental data from a sample (1-methyl-2-pyridin-2-ylpyridin-1-ium;iodide, InChI=1S/C11H11N2.HI/c1-13-9-5-3-7-11(13)10-6-2-4-8-12-10;/h2-9H,1H3;1H/q+1;/p-1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) 1H--1H correlation spectroscopy (1H-1H COSY) 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) high-resolution electrospray ionisation mass spectrometry (HRESIMS)
DOI: 10.14272/qtiqvbquefirbe-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C19H26N4S/c1-18(2,3)15-9-11-22(20-15)17(14-8-7-13-24-14)23-12-10-16(21-23)19(4,5)6/h7-13,17H,1-6H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 162.8 (2C), 139.8, 129.3 (2C), 127.4, 127.2, 126.4, 102.8 (2C), 74.1, 32.2 (2C), 30.5 (6C).
DOI: 10.14272/qtiqvbquefirbe-uhfffaoysa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) ()
title: InChI=1S/C19H26N4S/c1-18(2,3)15-9-11-22(20-15)17(14-8-7-13-24-14)23-12-10-16(21-23)19(4,5)6/h7-13,17H,1-6H3

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/qtiqvbquefirbe-uhfffaoysa-n/chmo0001148
title: 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) ()
title: InChI=1S/C19H26N4S/c1-18(2,3)15-9-11-22(20-15)17(14-8-7-13-24-14)23-12-10-16(21-23)19(4,5)6/h7-13,17H,1-6H3

description: dataset for 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
DOI: 10.14272/qtiqvbquefirbe-uhfffaoysa-n/chmo0000485
title: high-resolution electrospray ionisation mass spectrometry (HRESIMS) ()
title: InChI=1S/C19H26N4S/c1-18(2,3)15-9-11-22(20-15)17(14-8-7-13-24-14)23-12-10-16(21-23)19(4,5)6/h7-13,17H,1-6H3

description: dataset for high-resolution electrospray ionisation mass spectrometry (HRESIMS) HRMS-ESI+ (m/z): calcd. for [M+Na]+: 365.17704 (100) [C19H26N432SNa]+, 366.18039 (21) [12C1813C1H26N432SNa]+, 367.17283 (4) [C19H26N434SNa]+; found: 365.17518 (23), 366.17824 (5), 367.17309 (1).
DOI: 10.14272/qtiqvbquefirbe-uhfffaoysa-n/chmo0001150
title: 1H--1H correlation spectroscopy (1H-1H COSY) ()
title: InChI=1S/C19H26N4S/c1-18(2,3)15-9-11-22(20-15)17(14-8-7-13-24-14)23-12-10-16(21-23)19(4,5)6/h7-13,17H,1-6H3

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.14272/qtiqvbquefirbe-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C19H26N4S/c1-18(2,3)15-9-11-22(20-15)17(14-8-7-13-24-14)23-12-10-16(21-23)19(4,5)6/h7-13,17H,1-6H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 7.73 (d, J = 0.9 Hz, 1H), 7.47 (d, J = 2.5 Hz, 2H), 7.33 (dd, J = 1.4 Hz, J = 5.0 Hz, 1H), 6.96 (dd, J = 3.6 Hz, J = 5.1 Hz, 1H), 6.90 (td, J = 1.3 Hz, J = 3.6 Hz, 1H), 6.13 (d, J = 2.5 Hz, 2H), 1.31 (s, 18H).
DOI: 10.14272/qtiqvbquefirbe-uhfffaoysa-n/chmo0000763
title: attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) ()
title: InChI=1S/C19H26N4S/c1-18(2,3)15-9-11-22(20-15)17(14-8-7-13-24-14)23-12-10-16(21-23)19(4,5)6/h7-13,17H,1-6H3

description: dataset for attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) IR (ATR, ṽ) = 3135 (vw), 3108 (vw), 2962 (m), 2935 (w), 2931 (w), 2902 (w), 2867 (w), 1678 (vw), 1533 (w), 1518 (w), 1480 (w), 1457 (w), 1419 (vw), 1405 (vw), 1386 (vw), 1361 (w), 1317 (w), 1261 (w), 1249 (s), 1232 (m), 1206 (w), 1193 (w), 1164 (w), 1159 (w), 1136 (vw), 1128 (vw), 1105 (vw), 1077 (vw), 1063 (w), 1052 (m), 1024 (vw), 991 (w), 980 (vw), 933 (vw), 881 (vw), 865 (vw), 853 (w), 829 (vw), 814 (w), 803 (vs), 791 (w), 777 (s), 764 (vs), 744 (w), 718 (vs), 639 (vw), 631 (w), 619 (vw), 566 (vw), 501 (w), 493 (w), 477 (w) cm–1.
DOI: 10.14272/qtiqvbquefirbe-uhfffaoysa-n.1
title: 1,1'-(thiophen-2-ylmethylene)bis(3-(tert-butyl)-1H-pyrazole)
title: InChI=1S/C19H26N4S/c1-18(2,3)15-9-11-22(20-15)17(14-8-7-13-24-14)23-12-10-16(21-23)19(4,5)6/h7-13,17H,1-6H3

description: This dataset contains experimental data from a sample (InChI=1S/C19H26N4S/c1-18(2,3)15-9-11-22(20-15)17(14-8-7-13-24-14)23-12-10-16(21-23)19(4,5)6/h7-13,17H,1-6H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) 1H--1H correlation spectroscopy (1H-1H COSY) 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) high-resolution electrospray ionisation mass spectrometry (HRESIMS)
DOI: 10.5281/zenodo.4706046
title: calibrated parameter vectors for the full extrinsic apoptosis reaction model (EARMv2)

description: EARMv2 was calibrated to time course experimental data. The Differential Evolution Adaptive Metropolis MCMC sampling algorithm (DREAM<sub>(ZS)</sub>) was used to calibrate the model. The data provides the sampled parameter vectors saved as Numpy files (npy) and log posterior values of the sampled parameter vectors also saved as npy files.
DOI: 10.5281/zenodo.4706045
title: calibrated parameter vectors for the full extrinsic apoptosis reaction model (EARMv2)

description: EARMv2 was calibrated to time course experimental data. The Differential Evolution Adaptive Metropolis MCMC sampling algorithm (DREAM<sub>(ZS)</sub>) was used to calibrate the model. The data provides the sampled parameter vectors saved as Numpy files (npy) and log posterior values of the sampled parameter vectors also saved as npy files.
DOI: 10.6084/m9.figshare.14458668
title: instagram_compressed_HEIC_1.zip

description: HEIC/HEIF images are uploaded to instagram, and the original and the downloaded versions are provided.
DOI: 10.5281/zenodo.4706686
title: Rasterised Natura 2000 Natural Protection Areas for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur. <strong>It contains</strong> alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. <strong>Not all data dependencies</strong> are shipped with the code repository, since git is not suited for handling large changing files. Instead we provide separate <strong>data bundles</strong> to be downloaded and extracted as noted in the documentation. This file provides an (optional) rasterised version of the Natura 2000 Natural Protection Areas, processed from the source given below, to reduce computation times. <strong>Source:</strong> https://www.eea.europa.eu/data-and-maps/data/natura-10 <strong>Extract from Terms of Use:</strong> EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV). https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-metadata
DOI: 10.5281/zenodo.4588403
title: CTPelvic1K Dataset

description: <pre><em><strong>Annotations</strong></em> and <em><strong>new collected clinical data</strong></em> in CTPelvic1K dataset. Details can be found in https://github.com/ICT-MIRACLE-lab/CTPelvic1K.</pre>
description: {"references": ["Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou. Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models. International Journal of Computer Assisted Radiology and Surgery (IJCARS) pp. 1-8 (2021)."]}
DOI: 10.5281/zenodo.4588402
title: CTPelvic1K Dataset

description: <pre><em><strong>Annotations</strong></em> and <em><strong>new collected clinical data</strong></em> in CTPelvic1K dataset. Details can be found in https://github.com/ICT-MIRACLE-lab/CTPelvic1K.</pre>
description: {"references": ["Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou. Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models. International Journal of Computer Assisted Radiology and Surgery (IJCARS) pp. 1-8 (2021)."]}
DOI: 10.6084/m9.figshare.14458755
title: S9.bw

description: S9 data
DOI: 10.6084/m9.figshare.14458755.v1
title: S9.bw

description: S9 data
DOI: 10.6084/m9.figshare.14458665
title: instagram_compressed_JPEG_1.zip

description: JPEG images are uploaded to instagram, and the original and the downloaded versions are provided. This dataset contains images that are uploaded as a single post.
DOI: 10.5281/zenodo.4299001
title: Fundamental hydrogen storage properties of TiFe-alloy with partial substitution of Fe by Ti and Mn - Raw Dataset related to publication

description: Data type: Experimental measurements and Rietveld Refinement. Date format: .xls, .xlsm,.opj, .pcr, .dat (Software FullProf package outputs). Origin of the data: Experimental EMPA, x-ray diffraction patterns, and kinetic measurements of hydrogen absorption. Data generated by electron probe micro-analysis (Cameca SX100), a Bruker D8 Advance Bragg Brentano diffractometer using Cu-Kα radiation (λ=1.5418 Å), and a home-made Sieverts’ type apparatus from CNRS, ICMPE, Thiais, France. Software needed to plot the data: Origin and Excel. Software needed to analyse the data: FullProf package.
DOI: 10.5281/zenodo.4299000
title: Fundamental hydrogen storage properties of TiFe-alloy with partial substitution of Fe by Ti and Mn - Raw Dataset related to publication

description: Data type: Experimental measurements and Rietveld Refinement. Date format: .xls, .xlsm,.opj, .pcr, .dat (Software FullProf package outputs). Origin of the data: Experimental EMPA, x-ray diffraction patterns, and kinetic measurements of hydrogen absorption. Data generated by electron probe micro-analysis (Cameca SX100), a Bruker D8 Advance Bragg Brentano diffractometer using Cu-Kα radiation (λ=1.5418 Å), and a home-made Sieverts’ type apparatus from CNRS, ICMPE, Thiais, France. Software needed to plot the data: Origin and Excel. Software needed to analyse the data: FullProf package.
DOI: 10.5281/zenodo.4299024
title: Fundamental hydrogen storage properties of TiFe-alloy with partial substitution of Fe by Ti and Mn - Dataset related to publication

description: Data type: Experimental measurements, correlations and Van't Hoff plot. Date format: .opj. Origin of the data: Experimental pressure composition isotherm measurements. Data generated by a home-made Sieverts’ type apparatus from CNRS, ICMPE, Thiais, France. Software needed to plot the data: Origin.
DOI: 10.5281/zenodo.4299023
title: Fundamental hydrogen storage properties of TiFe-alloy with partial substitution of Fe by Ti and Mn - Dataset related to publication

description: Data type: Experimental measurements, correlations and Van't Hoff plot. Date format: .opj. Origin of the data: Experimental pressure composition isotherm measurements. Data generated by a home-made Sieverts’ type apparatus from CNRS, ICMPE, Thiais, France. Software needed to plot the data: Origin.
DOI: 10.5281/zenodo.4705452
title: qdgc Uganda

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 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
description: Warning: 3.2 GB when unzipped
DOI: 10.5281/zenodo.4458753
title: qdgc Uganda

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 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
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