cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1965512.08fu
title: SH1965512.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1501940.08fu
title: SH1501940.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1501941.08fu
title: SH1501941.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1965513.08fu
title: SH1965513.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1965514.08fu
title: SH1965514.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1965515.08fu
title: SH1965515.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1501942.08fu
title: SH1501942.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.7910/dvn/gz8iwr/zibjzg
title: HOPS-12.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/zvd5qs
title: HOPS-128.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/il0lue/2mn3yo
title: product_process_patents_pred_ind_100_ep_Environmental technology.png

description: :unav
DOI: 10.7910/dvn/il0lue/bwalo7
title: product_process_patents_abstr_us_Digital communication.png

description: :unav
DOI: 10.7910/dvn/il0lue/emvp9o
title: product_process_patents_pred_ind_100_ep_Measurement.png

description: :unav
DOI: 10.7910/dvn/il0lue/hm1g10
title: product_process_patents_2_100_us_Surface technology, coating.png

description: :unav
DOI: 10.7910/dvn/il0lue/iuhwpz
title: product_process_patents_2_100_ep_Optics.png

description: :unav
DOI: 10.7910/dvn/il0lue/lrctjd
title: product_process_patents_pred_ind_100_ep_robotics.png

description: :unav
DOI: 10.7910/dvn/il0lue/pcydkz
title: product_process_patents_2_ind_100_ep_smartphones.png

description: :unav
DOI: 10.7910/dvn/il0lue/trtx00
title: product_process_patents_abstr_us_Analysis of biological materials.png

description: :unav
DOI: 10.7910/dvn/il0lue/wfu3t1
title: product_process_patents_2_ind_100_ep_Audio-visual technology.png

description: :unav
DOI: 10.17632/3kdcsyyd2b.1
title: Data for: De novo p.G696S mutation in COL4A1 causes intracranial calcification and late-onset cerebral hemorrhage: A case report and review of the literature

description: supplementary data
DOI: 10.17632/yj6cykyz4m.1
title: Data for: De novo p.G696S mutation in COL4A1 causes intracranial calcification and late-onset cerebral hemorrhage: A case report and review of the literature

description: summary of variations in COL4A1
DOI: 10.7910/dvn/gz8iwr/9h7h1h
title: HOPS-133.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/dgj36g
title: HOPS-131.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/ea7nkj
title: HOPS-132.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/faziba
title: HOPS-130.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/g8onrn
title: HOPS-136.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/okatag
title: HOPS-135.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/umn9ke
title: HOPS-134.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/wqit7q
title: HOPS-13.13CO.ms.tar.gz
DOI: 10.7910/dvn/il0lue/8cvqnz
title: product_process_patents_abstr_ep_Basic materials chemistry .png

description: :unav
DOI: 10.7910/dvn/il0lue/bnf5e2
title: product_process_patents_abstr_ep_Electrical machinery, apparatus, energy.png

description: :unav
DOI: 10.7910/dvn/il0lue/cotss8
title: product_process_patents_2_ind_100_us_Food chemistry.png

description: :unav
DOI: 10.7910/dvn/il0lue/dpmky9
title: product_process_patents_pred_ind_100_ep_Control.png

description: :unav
DOI: 10.7910/dvn/il0lue/f2l6ye
title: product_process_patents_pred_ind_100_ep_Basic materials chemistry .png

description: :unav
DOI: 10.7910/dvn/il0lue/jaey9b
title: product_process_patents_pred_100_us_Mechanical elements.png

description: :unav
DOI: 10.7910/dvn/il0lue/safnni
title: product_process_patents_pred_100_us_A01N.png

description: :unav
DOI: 10.7910/dvn/il0lue/t4ec8o
title: product_process_patents_pred_ind_100_us_Control.png

description: :unav
DOI: 10.7910/dvn/il0lue/u25s2o
title: product_process_patents_pred_100_ep_Mechanical elements.png

description: :unav
DOI: 10.7910/dvn/il0lue/vxp4tz
title: product_process_patents_pred_ind_100_us_Civil engineering.png

description: :unav
DOI: 10.5281/zenodo.3588357
title: Pre-rendered training and testing dataset for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering

description: Pre-rendered data for training and evaluating the Neural Reconstruction for Gradient-Domain Path Tracing ("NGPT") algorithm described in the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering. See https://github.com/mkettune/ngpt/. Download 'all_datasets.zip' for easy access to all of the data. Alternatively, you may download the datasets one by one. The displayed license (CC BY 4.0) covers the rendering and collection work. Copyrights of the individual scenes may need to be respected as well and are displayed in file 'LICENSE'.
DOI: 10.5281/zenodo.3588358
title: Pre-rendered training and testing dataset for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering

description: Pre-rendered training and testing dataset for training the "NGPT" (Neural Reconstruction for Gradient-Domain Path Tracing) algorithm described in the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering. See https://github.com/mkettune/ngpt/.
DOI: 10.7910/dvn/gz8iwr/5rlwj6
title: HOPS-138.13CO.ms.tar.gz
DOI: 10.7910/dvn/gz8iwr/e7jatt
title: HOPS-142.13CO.ms.tar.gz
DOI: 10.7910/dvn/gz8iwr/g5kdhh
title: HOPS-140.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/j6vzha
title: HOPS-145.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/man0rb
title: HOPS-137.13CO.ms.tar.gz
DOI: 10.7910/dvn/gz8iwr/rmo7yb
title: HOPS-143.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/u7bl94
title: HOPS-141.13CO.ms.tar.gz
DOI: 10.7910/dvn/gz8iwr/wvdeat
title: HOPS-139.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/il0lue/0pscx4
title: product_process_patents_pred_ind_100_ep_Machine tools.png

description: :unav
DOI: 10.7910/dvn/il0lue/3zxqxp
title: product_process_patents_abstr_ep_smartphones.png

description: :unav
DOI: 10.7910/dvn/il0lue/apsaxj
title: product_process_patents_pred_100_us_semiconductors.png

description: :unav
DOI: 10.7910/dvn/il0lue/ffqzvu
title: product_process_patents_2_ind_100_ep_airplanes.png

description: :unav
DOI: 10.7910/dvn/il0lue/hqycsl
title: product_process_patents_pred_ind_100_ep_Furniture, games.png

description: :unav
DOI: 10.7910/dvn/il0lue/lpou9g
title: product_process_patents_pred_100_us_Control.png

description: :unav
DOI: 10.7910/dvn/il0lue/yp0j5g
title: product_process_patents_2_100_ep_A01N.png

description: :unav
DOI: 10.7910/dvn/gz8iwr/3lawhl
title: HOPS-150.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/48nhgg
title: HOPS-148.13CO.ms.tar.gz
DOI: 10.7910/dvn/gz8iwr/antvub
title: HOPS-153.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/gcixpn
title: HOPS-147.13CO.ms.tar.gz
DOI: 10.7910/dvn/gz8iwr/gqn36y
title: HOPS-152.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/jmyu07
title: HOPS-144.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/o9d3zr
title: HOPS-15.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/t8u4vy
title: HOPS-149.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/vys3bt
title: HOPS-154.13CO.ms.tar.gz
DOI: 10.7910/dvn/il0lue/cva39y
title: product_process_patents_2_100_ep_nanotech.png

description: :unav
DOI: 10.7910/dvn/il0lue/njuxev
title: product_process_patents_2_ind_100_us_airplanes.png

description: :unav
DOI: 10.7910/dvn/il0lue/oeuf52
title: product_process_patents_abstr_us_Materials, metallurgy.png

description: :unav
DOI: 10.7910/dvn/il0lue/qfqlpo
title: product_process_patents_2_100_ep_Micro-structural and nano-technology.png

description: :unav
DOI: 10.7910/dvn/il0lue/qu0ibt
title: product_process_patents_pred_ind_100_us_Telecommunications.png

description: :unav
DOI: 10.7910/dvn/il0lue/v87ydj
title: product_process_patents_pred_ind_100_us_photovoltaics.png

description: :unav
DOI: 10.7910/dvn/il0lue/v8e0fd
title: product_process_patents_pred_ind_100_ep_photovoltaics.png

description: :unav
DOI: 10.7910/dvn/il0lue/yjvgoo
title: product_process_patents_abstr_ep_Civil engineering.png

description: :unav
DOI: 10.7910/dvn/il0lue/ysv1cs
title: product_process_patents_pred_100_us_robotics.png

description: :unav
DOI: 10.5281/zenodo.3588333
title: Measurement data used in "Thermal and porosity properties of meteorites: A compilation of published data and new measurements".

description: Measurement data used in “Thermal and porosity properties of meteorites: A compilation of published data and new measurements”. Includes the measurement data as a csv file, as well as 3D models and images of the measured meteorites as zip archives.
DOI: 10.7910/dvn/aikecp/brv0tm
title: ReplicationFiles.zip

description: :unav
DOI: 10.7910/dvn/gz8iwr/7yckme
title: HOPS-163.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/e2hbzm
title: HOPS-159.13CO.ms.tar.gz
DOI: 10.7910/dvn/gz8iwr/eqr1xr
title: HOPS-157.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/lrnadq
title: HOPS-158.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/w6zzob
title: HOPS-16.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/wxumkc
title: HOPS-156.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/xndils
title: HOPS-160.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/il0lue/a23ywx
title: product_process_patents_2_ind_100_ep_Other special machines.png

description: :unav
DOI: 10.7910/dvn/il0lue/bmkkcb
title: product_process_patents_2_100_us_Materials, metallurgy.png

description: :unav
DOI: 10.7910/dvn/il0lue/fhscgb
title: product_process_patents_pred_ind_100_ep_Micro-structural and nano-technology.png

description: :unav
DOI: 10.7910/dvn/il0lue/hnaq99
title: product_process_patents_pred_ind_100_ep_Macromolecular chemistry, polymers.png

description: :unav
DOI: 10.7910/dvn/il0lue/ta9vkk
title: product_process_patents_2_ind_100_ep_Biotechnology.png

description: :unav
DOI: 10.7910/dvn/il0lue/tadatf
title: product_process_patents_abstr_ep_C05.png

description: :unav
DOI: 10.7910/dvn/il0lue/xpctbd
title: product_process_patents_abstr_us_Control.png

description: :unav
DOI: 10.7910/dvn/gz8iwr/2dtn1c
title: HOPS-169.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/4uxjyz
title: HOPS-167.13CO.ms.tar.gz
DOI: 10.7910/dvn/gz8iwr/bonipx
title: HOPS-170.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/lhgbx0
title: HOPS-17.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/slebjp
title: HOPS-166.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/tdvf71
title: HOPS-171.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/vm3gqz
title: HOPS-168.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/vrqhn6
title: HOPS-165.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/gz8iwr/ykfga3
title: HOPS-164.13CO.ms.selfcal.contsub.tar.gz
DOI: 10.7910/dvn/il0lue/6dztr8
title: product_process_patents_pred_100_ep_Organic fine chemistry.png

description: :unav
DOI: 10.7910/dvn/il0lue/78dlfx
title: product_process_patents_pred_100_us_Surface technology, coating.png

description: :unav
DOI: 10.7910/dvn/il0lue/8ib6ps
title: product_process_patents_2_100_ep_antibiotics.png

description: :unav
DOI: 10.7910/dvn/il0lue/8m8ynp
title: product_process_patents_2_100_ep_Textile and paper machines.png

description: :unav
DOI: 10.7910/dvn/il0lue/cs6h1y
title: product_process_patents_pred_ind_100_us_Optics.png

description: :unav
DOI: 10.7910/dvn/il0lue/p8i5s7
title: product_process_patents_2_100_ep_Surface technology, coating.png

description: :unav
DOI: 10.7910/dvn/il0lue/ryshpf
title: product_process_patents_2_ind_100_us_Thermal processes and apparatus.png

description: :unav
DOI: 10.7910/dvn/il0lue/zl7nt6
title: product_process_patents_2_100_ep_Analysis of biological materials.png

description: :unav
DOI: 10.7910/dvn/il0lue/zomiqt
title: product_process_patents_pred_100_us_Engines, pumps, turbines.png

description: :unav
DOI: 10.5281/zenodo.3539653
title: Global Fire Weather Indices - FWI using overwintered DC start-up

description: This dataset was developed by Natural Resources Canada using the European Centre for Medium-range Weather Forecasts (ECMWF) ERA5-HRS Reanalysis product (C3S, 2017) as inputs to the Canadian Forest Fire Danger Rating System R Package (Wang et al. 2017). The dataset provides gridded values of the Canadian Fire Weather Index (FWI) System indices of fuel moisture and fire behaviour, including the Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build-Up Index (BUI), Fire Weather Index (FWI), and Daily Severity rating (DSR). Each of these indices are produced using two calculation methods applied at the beginning of fire season start-up. The first method used the default DC value (DC=15) to start-up the FWI System calculation and only accounted for the longest stretch of active fire season each year (as determined by Wotton and Flannigan, 1993). The second method used the overwintered DC value, calculated from the DC value of the last day of the previous fire season and a percentage of overwinter precipitation, and accounted for all periods of fire season throughout the year. We recommend users of this data use indices where DC has been overwintered in regions where the fire season shuts off for winter and where low overwinter precipitation occurs (eg. parts of western Canada, the western US and the Siberian Boreal forest). References: Copernicus Climate Change Service (C3S) (2017): ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate . Copernicus Climate Change Service Climate Data Store (CDS), Accessed June 20<sup>th</sup> 2019. https://cds.climate.copernicus.eu/cdsapp#!/home Wang, X., Wotton, B. M., Cantin, A. S., Parisien, M. A., Anderson, K., Moore, B., & Flannigan, M. D. (2017). cffdrs: an R package for the Canadian forest fire danger rating system. Ecological Processes, 6(1), 5. Wotton, B. M., & Flannigan, M. D. (1993). Length of the fire season in a changing climate. The Forestry Chronicle, 69(2), 187-192.
DOI: 10.5281/zenodo.3539654
title: Global Fire Weather Indices - FWI using overwintered DC start-up

description: This dataset was developed by Natural Resources Canada using the European Centre for Medium-range Weather Forecasts (ECMWF) ERA5-HRS Reanalysis product (C3S, 2017) as inputs to the Canadian Forest Fire Danger Rating System R Package (Wang et al. 2017). The dataset provides gridded values of the Canadian Fire Weather Index (FWI) System indices of fuel moisture and fire behaviour, including the Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build-Up Index (BUI), Fire Weather Index (FWI), and Daily Severity rating (DSR). Each of these indices are produced using two calculation methods applied at the beginning of fire season start-up. The first method used the default DC value (DC=15) to start-up the FWI System calculation and only accounted for the longest stretch of active fire season each year (as determined by Wotton and Flannigan, 1993). The second method used the overwintered DC value, calculated from the DC value of the last day of the previous fire season and a percentage of overwinter precipitation, and accounted for all periods of fire season throughout the year. We recommend users of this data use indices where DC has been overwintered in regions where the fire season shuts off for winter and where low overwinter precipitation occurs (eg. parts of western Canada, the western US and the Siberian Boreal forest). References: Copernicus Climate Change Service (C3S) (2017): ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate . Copernicus Climate Change Service Climate Data Store (CDS), Accessed June 20<sup>th</sup> 2019. https://cds.climate.copernicus.eu/cdsapp#!/home Wang, X., Wotton, B. M., Cantin, A. S., Parisien, M. A., Anderson, K., Moore, B., & Flannigan, M. D. (2017). cffdrs: an R package for the Canadian forest fire danger rating system. Ecological Processes, 6(1), 5. Wotton, B. M., & Flannigan, M. D. (1993). Length of the fire season in a changing climate. The Forestry Chronicle, 69(2), 187-192.