cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9775730
title: Molecular and morphological clocks for estimating evolutionary divergence times

description: The archive contains the datasets used in Barba-Montoya et al. 2021. Molecular and morphological clocks for estimating evolutionary divergence times. <i>BMC Evolutionary Biology.</i>
DOI: 10.6084/m9.figshare.9775730.v1
title: Molecular and morphological clocks for estimating evolutionary divergence times

description: The archive contains the datasets used in Barba-Montoya et al. 2021. Molecular and morphological clocks for estimating evolutionary divergence times. <i>BMC Evolutionary Biology.</i>
DOI: 10.21258/1573762
title: Inventaire forestier national suisse - Tableau no 897087
DOI: 10.21258/1612154
title: Inventario forestale nazionale svizzero - Tabella n. 891936
DOI: 10.21258/1567648
title: Inventaire forestier national suisse - Tableau no 898861
DOI: 10.21258/1601090
title: Inventario forestale nazionale svizzero - Tabella n. 898758
DOI: 10.21258/1571651
title: Inventaire forestier national suisse - Tableau no 897967
DOI: 10.21258/1542784
title: Inventaire forestier national suisse - Tableau no 891815
DOI: 10.21258/1534811
title: Inventaire forestier national suisse - Tableau no 899216
DOI: 10.21258/1606105
title: Inventario forestale nazionale svizzero - Tabella n. 891954
DOI: 10.21258/1531610
title: Inventaire forestier national suisse - Tableau no 897008
DOI: 10.21258/1576112
title: Inventaire forestier national suisse - Tableau no 898541
DOI: 10.21258/1578418
title: Inventario forestale nazionale svizzero - Tabella n. 898273
DOI: 10.21258/1612310
title: Inventario forestale nazionale svizzero - Tabella n. 898494
DOI: 10.21258/1570885
title: Inventaire forestier national suisse - Tableau no 899111
DOI: 10.21258/1573314
title: Inventaire forestier national suisse - Tableau no 899574
DOI: 10.25810/6qjv-1296.31
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - October 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1577879
title: Inventario forestale nazionale svizzero - Tabella n. 899394
DOI: 10.6084/m9.figshare.13347812
title: NATCATAL-20043898A

description: The electrochemical，catalytic，XAS and XPS raw data for paper "Solid-liquid phase transition induced electrocatalytic switching from hydrogen evolution to highly selective CO<sub>2</sub> reduction" .
DOI: 10.6084/m9.figshare.13347812.v3
title: NATCATAL-20043898A

description: The electrochemical and catalytic raw data for paper "Solid-liquid phase transition induced electrocatalytic switching from hydrogen evolution to highly selective CO<sub>2</sub> reduction" .
DOI: 10.21258/1624820
title: Inventario forestale nazionale svizzero - Tabella n. 899211
DOI: 10.17632/wn9wpw3h37.1
title: Data for: Effects of Aversive Conditioning on Expression of Physiological Stress in Honey Bees (Apis mellifera)
DOI: 10.21227/ek2q-4203
title: OCTA-500

description: Optical coherence tomography angiography (OCTA) is a novel imaging modality that allows a micron-level resolution to present the three-dimensional structure of the retinal vascular.We propose a new multi-modality dataset, dubbed OCTA-500. It contains 500 subjects with 2 field of view (FOV) types, including OCT and OCTA volumes, 6 types of projections, 4 types of text labels and 2 types of pixel-level labels. This dataset contains more than 360K images with a size of about 80GB. Now, OCTA-500 is publicly available. This dataset is released for academic research use only.OCTA-500 includes two subsets: OCTA_6M and OCTA_3M. OCTA_6M(No.10001-No.10300):FOV: 6mm*6mm*2mmVolume: 400pixel*400pixel*640pixelOCTA_3M(No.10301-No.10500):FOV: 3mm*3mm*2mmVolume: 304pixel*304pixel*640pixel Both subsets contain the following information:OCT volumesOCTA volumesProjection Maps-OCT FULL(average)-OCT ILM_OPL (average)-OCT OPL_BM (average)-OCTA FULL (average)-OCTA ILM_OPL (maximum)-OCTA OPL_BM (maximum)Text Label-Gender-Age-OS/OD-DiseasePixel Label-retinal vessel segmentation-foveal avascular zone segmentation By using the OCTA-500 dataset, you are obliged to reference at least one of the following papers:-Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, and Shuo Li.“Image projection network: 3D to 2D image segmentation in OCTA images,” IEEE Trans. Med. Imaging, vol. 39, no. 11 pp. 3343-3354, 2020.-Mingchao Li, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu and Qiang Chen. "IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation," arXiv:2012.07261. Related Codes:IPN: https://github.com/chaosallen/IPN_tensorflowIPN-V2: https://github.com/chaosallen/IPNV2_pytorch Get Password:To get the password of the compressed package, an application email must be sent to chaosli@njust.edu.cn with a specified form like below, otherwise may be ignored.Title of Mail:The string of 'OCTA500' can not be empty. It is the fixed form and a special sign we use to identifying your downloading intention from other disturbers like spams.The contents appending to OCTA500 can help us identifying you more easily.OCTA500: your_organization: your_nameBody of Mail:Organization Detail: Your Organization DetailsMain Works: Your Main Works Usages: YourUsages About This Data Set
DOI: 10.21258/1607598
title: Inventario forestale nazionale svizzero - Tabella n. 898712
DOI: 10.21258/1532581
title: Inventaire forestier national suisse - Tableau no 897796
DOI: 10.21258/1586429
title: Inventario forestale nazionale svizzero - Tabella n. 897907
DOI: 10.21227/5agy-x928
title: OCTA-500

description: Optical coherence tomography angiography (OCTA) is a novel imaging modality that allows a micron-level resolution to present the three-dimensional structure of the retinal vascular.We propose a new multi-modality dataset, dubbed OCTA-500. It contains 500 subjects with 2 field of view (FOV) types, including OCT and OCTA volumes, 6 types of projections, 4 types of text labels and 2 types of pixel-level labels. This dataset contains more than 360K images with a size of about 80GB. Now, OCTA-500 is publicly available. OCTA-500 includes two subsets: OCTA_6M and OCTA_3M.OCTA_6M(No.10001-No.10300): FOV: 6mm*6mm*2mm Volume: 400pixel*400pixel*640pixelOCTA_3M(No.10301-No.10500): FOV: 3mm*3mm*2mm Volume: 304pixel*304pixel*640pixelBoth subsets contain the following information: OCT volumes OCTA volumes Projection Maps -OCT FULL(average) -OCT ILM_OPL (average) -OCT OPL_BM (average) -OCTA FULL (average) -OCTA ILM_OPL (maximum) -OCTA OPL_BM (maximum) Text Label -Gender -Age -OS/OD -Disease Pixel Label -retinal vessel segmentation -foveal avascular zone segmentation Related Papers:-Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, and Shuo Li.“Image projection network: 3D to 2D image segmentation in OCTA images,” IEEE Trans. Med. Imaging, vol. 39, no. 11 pp. 3343-3354, 2020.-Mingchao Li, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu and Qiang Chen. "IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation," arXiv:2012.07261. Related Codes:IPN: https://github.com/chaosallen/IPN_tensorflowIPN-V2: https://github.com/chaosallen/IPNV2_pytorch Get Password:To get the password of the compressed package, an application email must be sent to chaosli@njust.edu.cn with a specified form like below, otherwise may be ignored.Title of Mail:The string of 'OCTA500' can not be empty. It is the fixed form and a special sign we use to identifying your downloading intention from other disturbers like spams.The contents appending to OCTA500 can help us identifying you more easily.OCTA500: your_organization: your_nameBody of Mail:Organization Detail: Your Organization DetailsMain Works: Your Main WorksUsages: YourUsages About This Data Set
DOI: 10.21258/1613706
title: Inventario forestale nazionale svizzero - Tabella n. 897471
DOI: 10.21258/1575036
title: Inventaire forestier national suisse - Tableau no 899089
DOI: 10.21258/1592005
title: Inventario forestale nazionale svizzero - Tabella n. 897749
DOI: 10.21227/xwrs-rg94
title: OCTA-500

description: Optical coherence tomography angiography (OCTA) is a novel imaging modality that allows a micron-level resolution to present the three-dimensional structure of the retinal vascular.We propose a new multi-modality dataset, dubbed OCTA-500. It contains 500 subjects with 2 field of view (FOV) types, including OCT and OCTA volumes, 6 types of projections, 4 types of text labels and 2 types of pixel-level labels. This dataset contains more than 360K images with a size of about 80GB. Related Papers:-Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, and Shuo Li.“Image projection network: 3D to 2D image segmentation in OCTA images,” IEEE Trans. Med. Imaging, vol. 39, no. 11 pp. 3343-3354, 2020.-Mingchao Li, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu and Qiang Chen. "IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation," arXiv:2012.07261. Related Codes:IPN: https://github.com/chaosallen/IPN_tensorflow IPN-V2: https://github.com/chaosallen/IPNV2_pytorchNow, OCTA-500 is publicly available. Get Password:To get the password of the compressed package, an application email must be sent to chaosli@njust.edu.cn with a specified form like below, otherwise may be ignored.Title of Mail:The string of 'OCTA500' can not be empty. It is the fixed form and a special sign we use to identifying your downloading intention from other disturbers like spams.The contents appending to OCTA500 can help us identifying you more easily.OCTA500: your_organization: your_nameBody of Mail:Organization Detail: Your Organization DetailsMain Works: Your Main WorksUsages: YourUsages About This Data Set Dataset StructureOCTA-500 includes two subsets: OCTA_6M and OCTA_3M.OCTA_6M(No.10001-No.10300):FOV: 6mm*6mm*2mmVolume: 400pixel*400pixel*640pixelOCTA_3M(No.10301-No.10500):FOV: 3mm*3mm*2mmVolume: 304pixel*304pixel*640pixelBoth subsets contain the following information: OCT volumes OCTA volumes Projection Maps -OCT FULL(average) -OCT ILM_OPL (average) -OCT OPL_BM (average) -OCTA FULL (average) -OCTA ILM_OPL (maximum) -OCTA OPL_BM (maximum) Text Label -Gender -Age -OS/OD -Disease Pixel Label -retinal vessel segmentation -foveal avascular zone segmentation
DOI: 10.21258/1547621
title: Inventaire forestier national suisse - Tableau no 891838
DOI: 10.25810/6qjv-1296.32
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - November 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1540788
title: Inventaire forestier national suisse - Tableau no 892075
DOI: 10.21258/1555182
title: Inventaire forestier national suisse - Tableau no 891682
DOI: 10.21258/1626077
title: Inventario forestale nazionale svizzero - Tabella n. 892966
DOI: 10.21258/1587584
title: Inventario forestale nazionale svizzero - Tabella n. 899648
DOI: 10.21258/1565291
title: Inventaire forestier national suisse - Tableau no 898044
DOI: 10.21258/1608571
title: Inventario forestale nazionale svizzero - Tabella n. 899616
DOI: 10.21258/1624694
title: Inventario forestale nazionale svizzero - Tabella n. 898234
DOI: 10.21227/qqf5-df81
title: OCTA-500

description: Optical coherence tomography angiography (OCTA) is a novel imaging modality that allows a micron-level resolution to present the three-dimensional structure of the retinal vascular.We propose a new multi-modality dataset, dubbed OCTA-500. It contains 500 subjects with 2 field of view (FOV) types, including OCT and OCTA volumes, 6 types of projections, 4 types of text labels and 2 types of pixel-level labels. This dataset contains more than 360K images with a size of about 80GB. Related Papers:-Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, and Shuo Li.“Image projection network: 3D to 2D image segmentation in OCTA images,” IEEE Trans. Med. Imaging, vol. 39, no. 11 pp. 3343-3354, 2020.-Mingchao Li, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu and Qiang Chen. "IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation," arXiv:2012.07261. Related Codes:IPN: https://github.com/chaosallen/IPN_tensorflowIPN-V2: https://github.com/chaosallen/IPNV2_pytorchNow, OCTA-500 is publicly available. Get Password:To get the password of the compressed package, an application email must be sent to chaosli@njust.edu.cn with a specified form like below, otherwise may be ignored.Title of Mail:The string of 'OCTA500' can not be empty. It is the fixed form and a special sign we use to identifying your downloading intention from other disturbers like spams.The contents appending to OCTA500 can help us identifying you more easily.OCTA500: your_organization: your_nameBody of Mail:Organization Detail: Your Organization DetailsMain Works: Your Main WorksUsages: YourUsages About This Data Set Dataset StructureOCTA-500 includes two subsets: OCTA_6M and OCTA_3M.OCTA_6M(No.10001-No.10300):-FOV: 6mm*6mm*2mm-Volume: 400pixel*400pixel*640pixelOCTA_3M(No.10301-No.10500):-FOV: 3mm*3mm*2mm-Volume: 304pixel*304pixel*640pixelBoth subsets contain the following information:-OCT volumes-OCTA volumes-Projection Maps--OCT FULL(average)--OCT ILM_OPL (average)--OCT OPL_BM (average)--OCTA FULL (average)--OCTA ILM_OPL (maximum)--OCTA OPL_BM (maximum)-Text Label--Gender--Age--OS/OD--Disease-Pixel Label--retinal vessel segmentation--foveal avascular zone segmentation
DOI: 10.21258/1534605
title: Inventaire forestier national suisse - Tableau no 899336
DOI: 10.21227/tz60-h522
title: OCTA-500

description: Optical coherence tomography angiography (OCTA) is a novel imaging modality that allows a micron-level resolution to present the three-dimensional structure of the retinal vascular.We propose a new multi-modality dataset, dubbed OCTA-500. It contains 500 subjects with 2 field of view (FOV) types, including OCT and OCTA volumes, 6 types of projections, 4 types of text labels and 2 types of pixel-level labels. This dataset contains more than 360K images with a size of about 80GB. Related Papers:-Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, and Shuo Li.“Image projection network: 3D to 2D image segmentation in OCTA images,” IEEE Trans. Med. Imaging, vol. 39, no. 11 pp. 3343-3354, 2020.-Mingchao Li, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu and Qiang Chen. "IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation," arXiv:2012.07261.Related Codes:IPN: https://github.com/chaosallen/IPN_tensorflowIPN-V2: https://github.com/chaosallen/IPNV2_pytorchNow, OCTA-500 is publicly available. Get Password:To get the password of the compressed package, an application email must be sent to chaosli@njust.edu.cn with a specified form like below, otherwise may be ignored.Title of Mail:The string of 'OCTA500' can not be empty. It is the fixed form and a special sign we use to identifying your downloading intention from other disturbers like spams.The contents appending to OCTA500 can help us identifying you more easily.OCTA500: your_organization: your_nameBody of Mail:Organization Detail: Your Organization DetailsMain Works: Your Main WorksUsages: YourUsages About This Data Set Dataset StructureOCTA-500 includes two subsets: OCTA_6M and OCTA_3M.OCTA_6M(No.10001-No.10300):-FOV: 6mm*6mm*2mm-Volume: 400pixel*400pixel*640pixelOCTA_3M(No.10301-No.10500):-FOV: 3mm*3mm*2mm-Volume: 304pixel*304pixel*640pixelBoth subsets contain the following information:-OCT volumes-OCTA volumes-Projection Maps--OCT FULL(average)--OCT ILM_OPL (average)--OCT OPL_BM (average)--OCTA FULL (average)--OCTA ILM_OPL (maximum)--OCTA OPL_BM (maximum)-Text Label--Gender--Age--OS/OD--Disease-Pixel Label--retinal vessel segmentation--foveal avascular zone segmentation
DOI: 10.6084/m9.figshare.13370780
title: hystrix.pep.fa.gz

description: Protein sequences of Cucumis hystrix (v1)
DOI: 10.6084/m9.figshare.13370777
title: hystrix.cds.fa.gz

description: Coding sequences of Cucumis hystrix (v1)
DOI: 10.6084/m9.figshare.13370780.v1
title: hystrix.pep.fa.gz

description: Protein sequences of Cucumis hystrix (v1)
DOI: 10.6084/m9.figshare.13370771.v1
title: hystrix.gff3.gz

description: GFF3 file of Cucumis hystrix (v1)
DOI: 10.6084/m9.figshare.13370762
title: hystrix.genome.fasta.gz

description: Genome assembly of Cucumis hystrix (version 1)
DOI: 10.6084/m9.figshare.13370762.v1
title: hystrix.genome.fasta.gz

description: Genome assembly of Cucumis hystrix (version 1)
DOI: 10.6084/m9.figshare.13370771
title: hystrix.gff3.gz

description: GFF3 file of Cucumis hystrix (v1)
DOI: 10.6084/m9.figshare.13370777.v1
title: hystrix.cds.fa.gz

description: Coding sequences of Cucumis hystrix (v1)
DOI: 10.21258/1565014
title: Inventaire forestier national suisse - Tableau no 892025
DOI: 10.21258/1587809
title: Inventario forestale nazionale svizzero - Tabella n. 892027
DOI: 10.21258/1590677
title: Inventario forestale nazionale svizzero - Tabella n. 898499
DOI: 10.21258/1585060
title: Inventario forestale nazionale svizzero - Tabella n. 899592
DOI: 10.21258/1551614
title: Inventaire forestier national suisse - Tableau no 897766
DOI: 10.25810/fj1y-8c74.22
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2020 - October 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1619450
title: Inventario forestale nazionale svizzero - Tabella n. 897196
DOI: 10.21258/1623038
title: Inventario forestale nazionale svizzero - Tabella n. 899409
DOI: 10.21258/1594995
title: Inventario forestale nazionale svizzero - Tabella n. 897444
DOI: 10.21258/1549188
title: Inventaire forestier national suisse - Tableau no 896974
DOI: 10.25810/fj1y-8c74.23
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2020 - November 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1584588
title: Inventario forestale nazionale svizzero - Tabella n. 892933
DOI: 10.21258/1597837
title: Inventario forestale nazionale svizzero - Tabella n. 899567
DOI: 10.21258/1576159
title: Inventaire forestier national suisse - Tableau no 899638
DOI: 10.6084/m9.figshare.13372583
title: Original image of immunofluorescence.zip

description: immunofluorescence of hepatic cells injury model in vivo and in vitro<sub>.</sub><br>
DOI: 10.21258/1559968
title: Inventaire forestier national suisse - Tableau no 898188
DOI: 10.21258/1612643
title: Inventario forestale nazionale svizzero - Tabella n. 891692
DOI: 10.21258/1576201
title: Inventaire forestier national suisse - Tableau no 898013
DOI: 10.21258/1546754
title: Inventaire forestier national suisse - Tableau no 898976
DOI: 10.25810/jgyv-zg57.31
title: New Zealand Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - October 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1541427
title: Inventaire forestier national suisse - Tableau no 896935
DOI: 10.5519/qd.el4mrqac
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21258/1620609
title: Inventario forestale nazionale svizzero - Tabella n. 897466
DOI: 10.25810/jgyv-zg57.32
title: New Zealand Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - November 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.12479981
title: Gravity data from Laguna del Maule

description: Bouguer and residual gravity data for Laguna del Maule and Barrancas.Also python script to remove polynomial regional and calculate the residual.<br>
DOI: 10.6084/m9.figshare.12479981.v1
title: Gravity data from Laguna del Maule

description: Bouguer and residual gravity data for Laguna del Maule and Barrancas.Also python script to remove polynomial regional and calculate the residual.<br>
DOI: 10.6084/m9.figshare.13377671
title: Genome assembly of Cucumis hystrix

description: file introduction:hystrix.genome.fasta.gz Genome assembly of Cucumis hystrix (v1)hystrix.pep.fa.gz Protein sequences (v1)<br>hystrix.cds.fa.gz CDs (v1)<br>hystrix.gff3.gz (v1)
DOI: 10.21258/1560087
title: Inventaire forestier national suisse - Tableau no 897066
DOI: 10.25810/fq7x-q521.11
title: Middle Eastern Newspaper Coverage of Climate Change or Global Warming, 2004-2020 - October 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1553334
title: Inventaire forestier national suisse - Tableau no 891946
DOI: 10.21258/1571640
title: Inventaire forestier national suisse - Tableau no 898343
DOI: 10.21258/1618337
title: Inventario forestale nazionale svizzero - Tabella n. 892964
DOI: 10.21258/1554296
title: Inventaire forestier national suisse - Tableau no 898542
DOI: 10.21258/1575580
title: Inventaire forestier national suisse - Tableau no 898474
DOI: 10.21258/1621519
title: Inventario forestale nazionale svizzero - Tabella n. 899240
DOI: 10.21258/1591949
title: Inventario forestale nazionale svizzero - Tabella n. 897578
DOI: 10.21258/1538684
title: Inventaire forestier national suisse - Tableau no 897140
DOI: 10.25810/fq7x-q521.12
title: Middle Eastern Newspaper Coverage of Climate Change or Global Warming, 2004-2020 - November 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21227/xjjn-f540
title: US Annual Retail Trade Survey—2014

description: The Annual Retail Trade Survey (ARTS) produces national estimates of total annual sales, e-commerce sales, end-of-year inventories, inventory-to-sales ratios, purchases, total operating expenses, inventories held outside the United States, gross margins, and end-of-year accounts receivable for retail businesses and annual sales and e-commerce sales for accommodation and food service firms located in the U.S.License: U.S. Government Work
DOI: 10.21258/1566556
title: Inventaire forestier national suisse - Tableau no 891872