cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14039060
title: Figure 2 PMEN9 data

description: Data for Figure 2 and associated supplementary figures in the elife submission: The role of interspecies recombinations in the evolution of antibiotic resistant pneumococci. Figure 2 was created using Phandango (https://jameshadfield.github.io/phandango/#/main)
DOI: 10.6084/m9.figshare.14039060.v2
title: Figure 2 PMEN9 data

description: Data for Figure 2 and associated supplementary figures in the elife submission: The role of interspecies recombinations in the evolution of antibiotic resistant pneumococci. Figure 2 was created using Phandango (https://jameshadfield.github.io/phandango/#/main)
DOI: 10.6084/m9.figshare.14039060.v1
title: Figure 3 PMEN9 data

description: Data for Figure 3 and associated supplementary figures in the elife submission: The role of interspecies recombinations in the evolution of antibiotic resistant pneumococci. Figure 3 was created using Phandango (https://jameshadfield.github.io/phandango/#/main)
DOI: 10.6084/m9.figshare.14039276
title: Figure 3 PMEN collection recombination lengths

description: Recombination length and SNP density for recombination events detected in PMEN3 and PMEN9 collections. Data used for Figure 3 in the elife submission The role of interspecies recombinations in the evolution of antibiotic resistant pneumococci.
DOI: 10.6084/m9.figshare.14039276.v1
title: Figure 4 PMEN collection recombination lengths

description: Recombination length and SNP density for recombination events detected in PMEN3 and PMEN9 collections. Data used for Figure 4 in the elife submission The role of interspecies recombinations in the evolution of antibiotic resistant pneumococci.
DOI: 10.6084/m9.figshare.14884173
title: JVASP-5599.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884173.v1
title: JVASP-5599.zip

description: JARVIS-DFT data test
DOI: 10.5281/zenodo.4109697
title: Geospatial data on quality indicators and quality scores for parks in the city of Leipzig, Germany

description: This dataset provides indicators for 249 public green spaces (at least 0.25 ha) in the city of Leipzig, Germany, and total scores for natural elements, built elements (infrastructure) and context, as well as an total quality score on the individual park level representing the potential supply of recreational ecosystem services. The quality score is also depicted in regular hexagons of 0.25 square kilometers. All data is supplement to the original linked publication. <strong>List of data and content</strong> Parks_Indicators: vector files (*.shp, *.geojson), field description (*.csv) Parks_Scores: vector files (*.shp, *.geojson), field description (*.csv) Parks_Scores_RGB: raster file (*.tif), readme file (*.txt) QualityScore_Hexagons: vector files (*.shp, *.geojson), readme file (*.txt) <strong>Spatial reference</strong><br> All data is projected in ETRS 1989 UTM Zone 33N (EPSG:25833) <strong>Web-GIS</strong><br> View data and explore interactively using this online application. <strong>Data sources and processing</strong><br> For details on underlying data sources (e.g. availabilty, spatial resolution, time reference) and on data processing please refer to the linked publication, incl. Appendix 1 <strong>Acknowledgments</strong><br> We thank Terra Concordia and the City of Leipzig for providing data. We greatly acknowledge OpenStreetMap and contributers for providing important parts of the data. This work was supported by the research project “Environmental‐Health Interactions in Cities (GreenEquityHEALTH) ‐ Challenges for Human Well‐Being under Global Changes” (project duration 2017–2022), funded by the German Federal Ministry of Education and Research (BMBF; no.01LN1705A). <strong>Related publication</strong><br> Kraemer, R., & Kabisch, N. (2021). Parks in context: Advancing citywide spatial quality assessments of urban green spaces using fine-scaled indicators. Ecology and Society, 26(2). https://doi.org/10.5751/ES-12485-260245
DOI: 10.5281/zenodo.4109696
title: Geospatial data on quality indicators and quality scores for parks in the city of Leipzig, Germany

description: This dataset provides indicators for 249 public green spaces (at least 0.25 ha) in the city of Leipzig, Germany, and total scores for natural elements, built elements (infrastructure) and context, as well as an total quality score on the individual park level representing the potential supply of recreational ecosystem services. The quality score is also depicted in regular hexagons of 0.25 square kilometers. All data is supplement to the original linked publication. <strong>List of data and content</strong> Parks_Indicators: vector files (*.shp, *.geojson), field description (*.csv) Parks_Scores: vector files (*.shp, *.geojson), field description (*.csv) Parks_Scores_RGB: raster file (*.tif), readme file (*.txt) QualityScore_Hexagons: vector files (*.shp, *.geojson), readme file (*.txt) <strong>Spatial reference</strong><br> All data is projected in ETRS 1989 UTM Zone 33N (EPSG:25833) <strong>Web-GIS</strong><br> View data and explore interactively using this online application. <strong>Data sources and processing</strong><br> For details on underlying data sources (e.g. availabilty, spatial resolution, time reference) and on data processing please refer to the linked publication, incl. Appendix 1 <strong>Acknowledgments</strong><br> We thank Terra Concordia and the City of Leipzig for providing data. We greatly acknowledge OpenStreetMap and contributers for providing important parts of the data. This work was supported by the research project “Environmental‐Health Interactions in Cities (GreenEquityHEALTH) ‐ Challenges for Human Well‐Being under Global Changes” (project duration 2017–2022), funded by the German Federal Ministry of Education and Research (BMBF; no.01LN1705A). <strong>Related publication</strong><br> Kraemer, R., & Kabisch, N. (2021). Parks in context: Advancing citywide spatial quality assessments of urban green spaces using fine-scaled indicators. Ecology and Society, 26(2). https://doi.org/10.5751/ES-12485-260245
DOI: 10.5281/zenodo.5045340
title: Material complementario - Fichas estratigrafía

description: Material complementario de la tesis "Las fortificaciones de la Alpujarra Alta desde la Arqueología de la Arquitecura y del Paisaje"
DOI: 10.25646/8737
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4889146
title: LERC: Linked Extended Regulatory Circuits dataset on interactions between transcription factors and genes

description: Turtles files of the project: https://regulatorycircuits-lod.genouest.org/<br> 808 samples-specific files<br> 394 tissues-specific files<br> 2 mapping (FMA and Uberon)<br> 1 graph of experimental context<br> 1 graph of metadata
DOI: 10.5281/zenodo.4889145
title: LERC: Linked Extended Regulatory Circuits dataset on interactions between transcription factors and genes

description: Turtles files of the project: https://regulatorycircuits-lod.genouest.org/<br> 808 samples-specific files<br> 394 tissues-specific files<br> 2 mapping (FMA and Uberon)<br> 1 graph of experimental context<br> 1 graph of metadata
DOI: 10.6084/m9.figshare.14883750.v1
title: Data in support of 'Observational evidence that cloud feedback amplifies global warming'. Figshare dataset.

description: Pre-processed data for historical period Ridge regressions, supporting publication by Ceppi and Nowack in PNAS (2021).<br>For a code example see https://github.com/peernow/PNAS2021
DOI: 10.6084/m9.figshare.14884302.v1
title: JVASP-5707.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884302
title: JVASP-5707.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884305.v1
title: JVASP-5710.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884305
title: JVASP-5710.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884320.v1
title: JVASP-4412.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884320
title: JVASP-4412.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884323
title: JVASP-5722.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884323.v1
title: JVASP-5722.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.13285733
title: Remote homology clustering identifies lowly conserved families of effector proteins in plant-pathogenic fungi

description: Supplementary Material for 'Remote homology clustering identifies lowly conserved families of effector proteins in plant-pathogenic fungi' published in <i>Microbial Genomics</i>.<br>
DOI: 10.6084/m9.figshare.13285733.v1
title: Remote homology clustering identifies lowly conserved families of effector proteins in plant-pathogenic fungi

description: Supplementary Material for 'Remote homology clustering identifies lowly conserved families of effector proteins in plant-pathogenic fungi' published in <i>Microbial Genomics</i>.<br>
DOI: 10.3886/e144081
title: A Combined Multi-Criteria Decision Model to Select a Knowledge Management Outsourcing Provider

description: Outsourcing Knowledge Management Provider
description: Response Rates: Multicriteria decision-making (MCDM), Fuzzy Analytic Network Process (FANP), Dematel
DOI: 10.3886/e144081v1
title: A Combined Multi-Criteria Decision Model to Select a Knowledge Management Outsourcing Provider

description: Outsourcing Knowledge Management Provider
description: Response Rates: Multicriteria decision-making (MCDM), Fuzzy Analytic Network Process (FANP), Dematel
DOI: 10.5517/ccdc.csd.cc224mpk
title: CCDC 1911078: Experimental Crystal Structure Determination

description: Related Article: Xingpeng Chen, Zhengshuo Huang, Jiaxi Xu|2021|Adv.Synth.Catal.|363|3098|doi:10.1002/adsc.202100320
DOI: 10.5517/ccdc.csd.cc1lk8fv
title: CCDC 1476357: Experimental Crystal Structure Determination

description: Related Article: Fathy A. El-Saied, Mohamad M.E. Shakdofa, Mayada S. Ali, Reham M.W. Faried, Ahmed El-Asmy, Metwally Madkour|2021|J.Phys.Chem.Solids|157|110218|doi:10.1016/j.jpcs.2021.110218
DOI: 10.6084/m9.figshare.14884347.v1
title: JVASP-521.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884347
title: JVASP-521.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884365
title: JVASP-4198.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884365.v1
title: JVASP-4198.zip

description: JARVIS-DFT data test
DOI: 10.25934/00005794.1
title: Available IPD datapackage for study 'A Phase III, Open-Label, Multicenter, Randomized Study to Investigate the Efficacy and Safety of Atezolizumab (Anti-PD-L1 Antibody) Compared With Docetaxel in Patients With Non-Small Cell Lung Cancer After Failure With Platinum Containing Chemotherapy'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.5045353
title: Material complementario - Fichas estratigrafía

description: Material complementario de la tesis "Las fortificaciones de la Alpujarra Alta desde la Arqueología de la Arquitecura y del Paisaje"
DOI: 10.5281/zenodo.4737924
title: Material complementario - Fichas estratigrafía

description: Material complementario de la tesis "Las fortificaciones de la Alpujarra Alta desde la Arqueología de la Arquitecura y del Paisaje"
DOI: 10.6084/m9.figshare.14884404
title: JVASP-5782.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884404.v1
title: JVASP-5782.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884407.v1
title: JVASP-5785.zip

description: JARVIS-DFT data test
DOI: 10.6084/m9.figshare.14884407
title: JVASP-5785.zip

description: JARVIS-DFT data test
DOI: 10.25625/1wmwnm/nardao
title: C4_0_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/rzyobv
title: C3_3_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/uailq5
title: C4_5_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/asctce
title: C2_3_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/jaf6an
title: C3_3_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/rp4pnv
title: C3_0_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/ijktb1
title: C2_1.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/b4yjuw
title: C4_2.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/ggfl0p
title: C3_1_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/z6dvdx
title: C4_4_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/sicqz2
title: C4_3_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/dcryoe
title: C2_3.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/7qmsdg
title: C3_0_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/uwlhyv
title: C4_4_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/sfn17r
title: C2_0_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/ktr65k
title: C4_3_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/wkyi5h
title: C3_3.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/vy8uod
title: C4_5.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/1spetu
title: C4_2_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/yuajge
title: C2_2_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/pwtsq7
title: C2_3_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/1gml2o
title: C3_0.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/qpzgct
title: C4_0.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/enktdd
title: C3_1_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/5qhabx
title: C2_1_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/fmiatn
title: C3_2.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/qu696p
title: C4_3.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/dol37i
title: C3_1.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/xmupmn
title: C4_0_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/4fbkwq
title: C3_2_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/elpgfq
title: C2_2_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/zszazj
title: C2_0.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/kqwbav
title: C4_1_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/rkrl31
title: C4_1.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/vih8ue
title: C4_4.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/azv8h5
title: C4_2_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/6qbcvd
title: C4_5_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/zzaxwl
title: C2_0_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/kcaewm
title: C4_1_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/fz44gb
title: C2_2.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/uugxx7
title: C3_2_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/vo0vnp
title: C2_1_MnO.radial

description: :unav
DOI: 10.6084/m9.figshare.14884230
title: Supplementary Material for: NASH/Liver Fibrosis Prevalence and Incidence of Nonliver Comorbidities among People with NAFLD and Incidence of NAFLD by Metabolic Comorbidities: Lessons from South Korea

description: <b><i>Background:</i></b> NAFLD incidence, NASH prevalence, NAFLD fibrosis prevalence, incidence of metabolic comorbidities, and mortality data in the NAFLD population remain limited. <b><i>Aims:</i></b> We used a meta-analytic approach to “stage” NAFLD among the Korean population. <b><i>Methods:</i></b> We searched PubMed, Embase, Cochrane Library, and KoreaMed from inception until June 29, 2019, and calculated pooled estimates via the random-effects model. <b><i>Results:</i></b> We screened 1,485 studies and analyzed 191 eligible studies: 179 (3,556,579 participants) for NAFLD prevalence and outcome analysis and 32 (1,089,785 participants) for NAFLD incidence analysis. NAFLD prevalence was 31.46% overall and 50–60% in those with metabolic risks. The incidence (per 1,000 person-years) of NAFLD was 42.8 overall and 70–77% in those with metabolic risk. The incidence (per 1,000 person-years) of new-onset T2DM, hypertension, cardiovascular disease, and chronic kidney disease was found to be 16.9, 47.9, 100.6, and 13.9, respectively. From biopsy data, 30.21% of the NAFLD population had moderate-to-severe steatosis (9 studies, 2,461 participants) and 52.27% had NASH (7 studies, 1,168 participants) and 85.41% had fibrosis <i>Conclusions:</i> The overall prevalence of NAFLD was 31.46% with an incidence rate of 42.8 per 1,000 person-years. NASH prevalence was 52% but &lt;15% had significant fibrosis. The prevalence and incidence of nonliver comorbidities was high especially for cardiovascular disease incidence. The burden of NAFLD is high in Korea. Health policy efforts need to be directed towards reversing the course of NAFLD disease.
DOI: 10.25625/1wmwnm/alblx5
title: D2.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/4m5akp
title: D1_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/rbqcil
title: D2_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/k8u0ml
title: D3.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/ys931y
title: D3_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/meus9f
title: D1_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/cdogwp
title: D1.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/eumna5
title: D3_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/gosamp
title: D2_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/ymjgck
title: D2_proton_transfer.mp4

description: :unav
DOI: 10.25625/1wmwnm/84ghmq
title: E4_water_approach.mp4

description: :unav
DOI: 10.25625/1wmwnm/dutswl
title: E1_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/i3cqsa
title: E4.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/gkys1z
title: E1_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/cc5moi
title: E3_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/m6g8tj
title: E4_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/cdteii
title: E3.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/15jatk
title: E2_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/eukozm
title: E3_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/gheahg
title: E1.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/mod6ec
title: E2_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/rwzueh
title: E2.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/jig8jg
title: E4_MnO.angle

description: :unav
DOI: 10.25625/1wmwnm/8rydyt
title: general_proton_transfer.mp4

description: :unav
DOI: 10.25625/1wmwnm/lr2cmx
title: B3_2_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/8ozvgp
title: B4_2_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/kej7hv
title: B3_1_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/cjvsp5
title: A2_MnO.radial

description: :unav
DOI: 10.25625/1wmwnm/sti0kn
title: PBE0r_2_OO.angle

description: :unav
DOI: 10.25625/1wmwnm/8ubeii
title: PBE_400K_OH.radial

description: :unav
DOI: 10.25625/1wmwnm/jukino
title: PBE0r_2_OH.angle

description: :unav
DOI: 10.25625/1wmwnm/wtphtp
title: PBE_400K_OO.angle

description: :unav
DOI: 10.25625/1wmwnm/jyqxr3
title: PBE0r_1_OO.radial

description: :unav
DOI: 10.25625/1wmwnm/nw38yx
title: PBE_400K_OO.radial

description: :unav
DOI: 10.25625/1wmwnm/mfrzyg
title: PBE_400K.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/7sxvos
title: PBE_OH.radial

description: :unav
DOI: 10.25625/1wmwnm/j31lh9
title: PBE.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/s45hwp
title: PBE0r_1_OH.angle

description: :unav
DOI: 10.25625/1wmwnm/n8id3z
title: PBE_OO.angle

description: :unav
DOI: 10.25625/1wmwnm/l8le8y
title: PBE0r_1_OO.angle

description: :unav
DOI: 10.25625/1wmwnm/gbc0my
title: PBE0r_2_OH.radial

description: :unav
DOI: 10.25625/1wmwnm/krbhf2
title: PBE_400K_OH.angle

description: :unav
DOI: 10.25625/1wmwnm/ldhkfr
title: PBE0r_2.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/pplyxm
title: PBE_OH.angle

description: :unav
DOI: 10.25625/1wmwnm/fgrbia
title: PBE0r_1.hbonds_c

description: :unav
DOI: 10.25625/1wmwnm/l9xz5a
title: PBE_OO.radial

description: :unav
DOI: 10.25625/1wmwnm/hxfwo2
title: PBE0r_1_OH.radial

description: :unav
DOI: 10.25625/1wmwnm/wvnvjg
title: PBE0r_2_OO.radial

description: :unav
DOI: 10.25625/1wmwnm/8ubldo
title: water_dimer_radical_cation.radial

description: :unav
DOI: 10.25625/1wmwnm/sprfgj
title: E2.xyz

description: :unav
DOI: 10.25625/1wmwnm/chxmow
title: C3_3.xyz

description: :unav
DOI: 10.25625/1wmwnm/uecqso
title: C2_2.xyz

description: :unav
DOI: 10.5281/zenodo.5045174
title: BIOPLAT-EU: Target Area Base Layer providing statistical information on demography, employment and land use for sustainability assessment

description: This dataset provides information on demographic variables related to population and employment as well as land use/land cover share on the basis of local administrative units (LAU). Within the BIOPLAT-EU project, this information is integrated into the webGIS sustainability assessment tool.<br> Main source of the administrative unit geometries is the spatial data set of local administrative units (LAU) (2016) provided by the European Commission (https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/lau#lau19). The data set was extended by Level 2 administrative boundaries of Albania (https://data.humdata.org/dataset/albania-administrative-level-0-3-boundaries) and Level 3 administrative boundaries of Ukraine as of 2017 (https://data.humdata.org/m/dataset/ukraine-administrative-boundaries-as-of-q2-2017?force_layout=light) Data on demography (2016) for LAU + Albania was acquired using the Eurostat statistical database (https://ec.europa.eu/eurostat/web/main/data/database). To calculate land use share for LAU and Albania, Corine Land cover (CLC) data from 2018 was used (https://land.copernicus.eu/pan-european/corine-land-cover). CLC classes were summarized into the following classes: urban areas (UrAr), forest (Fo), permanent crops (PeCr), annual crops (AnCr), permanent meadows and pastures (PeMaPa), industrial sites (InSi), water and wetlands (We), others (Ot). For Ukraine data on demography provided by the State Statistics Survey of Ukraine (http://www.ukrstat.gov.ua/) . To calculate land use share per administrative unit, the land use map produced by Myroniuk et al. 2020 (https://doi.org/10.3390/rs12010187) was used. Based to this map shares of the following land use classes are calculated: urban areas (UrAr), forest (Fo), annual and permanent cropland (AnPeCr), grassland (Gra), water and wetlands (We), others (Ot). <em><strong>Terms of use:</strong></em> These data are provided "as is". <em>The authors make <strong>no </strong></em><strong><em>warranty</em></strong><em>, representation, or guaranty of any type as to the completeness, accuracy, content or fitness for any particular purpose or use of any </em><strong><em>open data</em></strong><em> set made available here</em><em>, nor shall any </em><strong><em>warranties</em></strong><em> be implied with respec</em><em>t to the data provided.</em>
DOI: 10.25625/1wmwnm/ll2jal
title: D3.xyz

description: :unav