cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.2909/5ebf3d6e-b148-4d22-b5e5-173a9d8fd661
title: Grassland 2018 (raster 100 m), Europe, 3-yearly, Aug. 2020

description: The HRL Grassland 2018 100 m aggregate raster product provides a basic land cover classification with two thematic classes (grassland / non-grassland) at 100m spatial resolution, covering the EEA38 area and the United Kingdom. The production of the High Resolution Grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. The main High Resolution Grassland product is the Grassland layer. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer for the 2015 reference year mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size and, for the 2018 reference year, in 10m and (aggregated) 100m pixel size. The 100 meter aggregate raster is provided as a full EEA38 and United Kingdom mosaic (fully conformant with the EEA reference grid).
DOI: 10.5281/zenodo.8250059
title: Peer Production in Citizen Science: A Community-Centered Approach on the Example of Personal Science - Supplementary Materials

description: This folder contains supplementary materials for the PhD thesis “Peer Production in Citizen Science: A Community-Centered Approach on the Example of Personal Science” by Katharina Kloppenborg. This project has been led at Université Paris Cité / Inserm U1284 from 2020 to 2023 and was supervised by Bastian Greshake Tzovaras and Ariel Lindner.
DOI: 10.5281/zenodo.8250058
title: Peer Production in Citizen Science: A Community-Centered Approach on the Example of Personal Science - Supplementary Materials

description: This folder contains supplementary materials for the PhD thesis “Peer Production in Citizen Science: A Community-Centered Approach on the Example of Personal Science” by Katharina Kloppenborg. This project has been led at Université Paris Cité / Inserm U1284 from 2020 to 2023 and was supervised by Bastian Greshake Tzovaras and Ariel Lindner.
DOI: 10.2909/35a036bb-c027-401c-8625-2ecf722e8461
title: Grassland 2015 (raster 20 m), Europe, 3-yearly, Apr. 2018

description: The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer for the 2015 reference year mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size and for the 2018 reference year - in 10m and (aggregated) 100m pixel size. The production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
DOI: 10.5281/zenodo.8250023
title: CO2_4km

description: CAMx results Surface CO2 4km
DOI: 10.5281/zenodo.8250022
title: CO2_4km

description: CAMx results Surface CO2 4km
DOI: 10.5517/ccdc.csd.cc207d9z
title: CCDC 1854150: Experimental Crystal Structure Determination

description: Related Article: Jennifer A. Rudd, Catherine E. Housecroft, Edwin C. Constable, Jennifer A. Zampese|2018|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23958063
title: Table 3

description: Inversion results under different temperature measurement noise levels using LM algorithm.
DOI: 10.6084/m9.figshare.23958063.v1
title: Table 3

description: Inversion results under different temperature measurement noise levels using LM algorithm.
DOI: 10.6084/m9.figshare.23958069.v1
title: Figure 9 B-G

description: Connected COMSOL and MATLAB by the "COMSOL Livelink MATLAB interface", the temperature distribution at different moments (10s, 20s, 40s, 60s, 80s, and 100s respectively) on truncated line were extracted by MATLAB code.
DOI: 10.6084/m9.figshare.23957991.v1
title: Figure 6

description: To evaluate the inversion performance under the influence of thermometric noise on the input data, a noise factor was introduced to the extracted TC1 transient data using Eq. (10).
DOI: 10.6084/m9.figshare.23958090
title: Figure 10

description: Connected COMSOL and MATLAB by the "COMSOL Livelink MATLAB interface", the time-varying temperatures at TC1, TC2, and TC3 were extracted by MATLAB code respectively.The differences between estimated and the exact temperatures at TC1, TC2, and TC3 were also extracted respectively.
DOI: 10.6084/m9.figshare.23958090.v1
title: Figure 10

description: Connected COMSOL and MATLAB by the "COMSOL Livelink MATLAB interface", the time-varying temperatures at TC1, TC2, and TC3 were extracted by MATLAB code respectively.The differences between estimated and the exact temperatures at TC1, TC2, and TC3 were also extracted respectively.
DOI: 10.6084/m9.figshare.23957985
title: Figure 5 and Table 2

description: Evolution of error S(P) , k<sub>2</sub> , σ<sub>1</sub> and σ<sub>2</sub> versus the number of iterations using the non-noise TC1 transient temperature.
DOI: 10.6084/m9.figshare.23957991
title: Figure 6

description: To evaluate the inversion performance under the influence of thermometric noise on the input data, a noise factor was introduced to the extracted TC1 transient data using Eq. (10).
DOI: 10.6084/m9.figshare.23958069
title: Figure 9 B-G

description: Connected COMSOL and MATLAB by the "COMSOL Livelink MATLAB interface", the temperature distribution at different moments (10s, 20s, 40s, 60s, 80s, and 100s respectively) on truncated line were extracted by MATLAB code.
DOI: 10.6084/m9.figshare.23951160
title: Figure 2A

description: The trend of the maximum temperature within the computational domain changing with the number of grids.
DOI: 10.6084/m9.figshare.23957604
title: Figure 3 B-G

description: Firstly, 27 orthogonal experiments were constructed with COMSOL 6.0 software, and TC1, TC2, and TC3 were extracted by Matlab 2022b software，seen in the "TC1, TC2, and TC3 of 27 orthogonal experiments.xlsx".Then, Minitab 19 software was used to construct the main effect map and analysis of variance for parameter sensitivity analysis, seen in the "Parameter sensitivity analysis.mpx".
DOI: 10.6084/m9.figshare.23957967
title: Figure 4

description: The COMSOL Livelink with MATLAB interface was used to establish a connection between COMSOL and MATLAB. The MATLAB code controls COMSOL to perform parametric sweep calculations and extract results.The results were seen at "Single parameterized sweep.xlsx".
DOI: 10.6084/m9.figshare.23957967.v1
title: Figure 4

description: The COMSOL Livelink with MATLAB interface was used to establish a connection between COMSOL and MATLAB. The MATLAB code controls COMSOL to perform parametric sweep calculations and extract results.The results were seen at "Single parameterized sweep.xlsx".
DOI: 10.6084/m9.figshare.23957985.v1
title: Figure 5 and Table 2

description: Evolution of error S(P) , k<sub>2</sub> , σ<sub>1</sub> and σ<sub>2</sub> versus the number of iterations using the non-noise TC1 transient temperature.
DOI: 10.6084/m9.figshare.23951160.v1
title: Figure 2A

description: The trend of the maximum temperature within the computational domain changing with the number of grids.
DOI: 10.2909/b77b7ce3-04f8-44ae-aaae-b5e5af0f9682
title: Grassland 2015 (raster 100 m), Europe, 3-yearly, Apr. 2018

description: The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer for the 2015 reference year mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size and for the 2018 reference year - in 10m and (aggregated) 100m pixel size. The production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
DOI: 10.2909/a0925bc0-d3d8-49af-ba9d-c4f1cf2b654d
title: Grassland Change 2015-2018 (raster 20 m), Europe, 3-yearly, Oct. 2020

description: The High Resolution Layer (HRL) Grassland Change 2015-2018 raster product at 20m resolution provides information on changes in grassland vegetation cover between the reference years 2015 and 2018. The thematic classes indicate all non-grassland areas, grassland gain and grassland loss, unchanged grassland in both years and unverified grassland gain and loss areas for the pan-European area of EEA38 and the United Kingdom. The production of the High Resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. This dataset is provided as 20 meter rasters in 100 x 100 km tiles grouped according to the EEA38 countries and the United Kingdom (fully conformant with the EEA reference grid). The HRL Grassland layer is the main High Resolution grassland product. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer for the 2015 reference year mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size and, for the 2018 reference year, in 10m and (aggregated) 100m pixel size.
DOI: 10.34740/kaggle/dsv/6307611
title: car dataset
DOI: 10.2909/7992f641-bf77-47b7-b0c1-74fc832b78b1
title: Water and Wetness 2018 (raster 10 m), Europe, 3-yearly - version 2, Nov. 2020

description: The Copernicus High Resolution Water and Wetness (WAW) 2018 layer is a thematic product showing the occurrence of water and wet surfaces over the period from 2012 to 2018 for the EEA38 area and the United Kingdom. Two products are available: - The main Water and Wetness (WAW) product, with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. - The additional expert product: Water and Wetness Probability Index (WWPI). The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies. The production of the High Resolution Water and Wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. The dataset is provided as 10 meter rasters in 100 x 100 km tiles grouped according to the EEA38 countries and the United Kingdom (fully conformant with the EEA reference grid).
DOI: 10.2909/f6bbd22c-52e5-4e47-9b09-943415fcb52e
title: Water and Wetness 2018 (raster 100 m), Europe, 3-yearly - version 2, Nov. 2020

description: The Copernicus High Resolution Layer Water and Wetness (WAW) 2018 is a thematic product showing the occurrence of water and wet surfaces over the period from 2012 to 2018 for the EEA38 area and the United Kingdom. This metadata refers to the 100 meter aggregate raster, provided as a full EEA38 and United Kingdom mosaic (fully conformant to with the EEA reference grid). The production of the High Resolution Water and Wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme Two Water and Wetness products are available: - The main Water and Wetness (WAW) product, with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. - The additional expert product: Water and Wetness Probability Index (WWPI). The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.
DOI: 10.2909/25ed7a97-e3a6-42ed-a403-d636d6880e6d
title: Water and Wetness 2015 (raster 20 m), Europe, 3-yearly, Nov. 2020

description: The Copernicus High Resolution Water and Wetness (WAW) 2015 layer is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015 for the EEA38 area and the United Kingdom. This metadata corresponds to the 20m classified Water and Wetness product. The production of the High Resolution Water and Wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. Two WAW products are available: - The main Water and Wetness (WAW) product, with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. - The additional expert product: Water and Wetness Probability Index (WWPI). The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies. Data is provided as a mosaic of the full area, and as tiles with a side length of 1000 km x 1000 km. In 2020, and due to methodological improvements, the temporary wet class has been reprocessed during the update for the 2018 reference year.
DOI: 10.2909/afde0fbb-6401-45cd-aabd-3aa7b4b3a7f0
title: Small Woody Features 2015 (vector), Europe, 3-yearly - Nov. 2019

description: The HRL Small Woody Features (SWF) is a new Copernicus Land Monitoring Service (CMLS) product, which provides harmonized information on linear structures such as hedgerows, as well as patches (200 m² ≤ area ≤ 5000 m²) of woody features across the EEA39 countries. Small woody landscape features are important vectors of biodiversity and provide information on fragmentation of habitats with a direct potential for restoration while also providing a link to hazard protection and green infrastructure, amongst others. The SWF layer contains woody linear, and small patchy elements, but is not differentiated into trees, hedges, bushes and scrub. The spatial pattern are limited to linear structures and isolated patches (patchy structures) on the basis of geometric characteristics. Additional Woody Features (AWF) are also included in this product. They consist of woody structures that do not fulfil the SWF geometric specifications but which are connected to valid SWFs structures. VHR imagery (DEIMOS-2, Pleiades 1A, Pleiades 1B, GeoEye-1, SPOT 6, SPOT 7, WorldView-2, WorldView-3 images from 2015) made available in the ESA Copernicus DWH are the main data source for the detection of small woody features identifiable within the given image resolution. The dataset is available for the 2015 reference year and is produced in three different formats. This metadata corresponds to the SWF vector layer, which separates the SWF class into Linear (code = 1) and Patchy (code = 2). Additional Woody Features are represented with code = 3. This is the primary product of the Small Woody Features mapping, and thus also the one with most detail. The vector data set can be downloaded in Geodatabase and Geopackage formats.
DOI: 10.2909/4e92b07d-48b0-4a53-9db2-fd8d07070cc1
title: Small Woody Features 2015 (raster 5 m), Europe, 3-yearly - Nov. 2019

description: The HRL Small Woody Features (SWF) is a new Copernicus Land Monitoring Service (CMLS) product, which provides harmonized information on linear structures such as hedgerows, as well as patches (200 m² ≤ area ≤ 5000 m²) of woody features across the EEA39 countries. Small woody landscape features are important vectors of biodiversity and provide information on fragmentation of habitats with a direct potential for restoration while also providing a link to hazard protection and green infrastructure, amongst others. The SWF layer contains woody linear, and small patchy elements, but is not differentiated into trees, hedges, bushes and scrub. The spatial pattern are limited to linear structures and isolated patches (patchy structures) on the basis of geometric characteristics. Additional Woody Features (AWF) are also included in this product. They consist of woody structures that do not fulfil the SWF geometric specifications but which are connected to valid SWFs structures. VHR imagery (DEIMOS-2, Pleiades 1A, Pleiades 1B, GeoEye-1, SPOT 6, SPOT 7, WorldView-2, WorldView-3 images from 2015) made available in the ESA Copernicus DWH are the main data source for the detection of small woody features identifiable within the given image resolution. The dataset is available for the 2015 reference year and is produced in three different formats. This metadata corresponds to the SWF 5m spatial resolution raster layer, which distinguishes between SWF (code =1) and AWF (code =3) ). This layer is derived from the SWF vector product in order to be more in line with other HR layers, and for allowing raster processing of the results. It describes the SWF landscape according to the high resolution of the input data, but without taking into account the possible small geometric inaccuracy of the vector product (due to VHR geometric imprecision, automatic processing such as smoothing, etc.). The geometric resolution is consistent with the EEA reference grid.
DOI: 10.2909/2adfe942-186d-4ee0-af41-b8b864dfb6b6
title: Small Woody Features 2015 (raster 100 m), Europe, 3-yearly - Nov. 2019

description: The HRL Small Woody Features (SWF) is a new Copernicus Land Monitoring Service (CMLS) product, which provides harmonized information on linear structures such as hedgerows, as well as patches (200 m² ≤ area ≤ 5000 m²) of woody features across the EEA39 countries. Small woody landscape features are important vectors of biodiversity and provide information on fragmentation of habitats with a direct potential for restoration while also providing a link to hazard protection and green infrastructure, amongst others. The SWF layer contains woody linear, and small patchy elements, but is not differentiated into trees, hedges, bushes and scrub. The spatial pattern are limited to linear structures and isolated patches (patchy structures) on the basis of geometric characteristics. Additional Woody Features (AWF) are also included in this product. They consist of woody structures that do not fulfil the SWF geometric specifications but which are connected to valid SWFs structures. VHR imagery (DEIMOS-2, Pleiades 1A, Pleiades 1B, GeoEye-1, SPOT 6, SPOT 7, WorldView-2, WorldView-3 images from 2015) made available in the ESA Copernicus DWH are the main data source for the detection of small woody features identifiable within the given image resolution. The dataset is available for the 2015 reference year and is produced in three different formats. This metadata corresponds to the SWF 100m spatial resolution raster aggregate layers: SWF density (0 – 100 %), AWF density (0 – 100 %) and SWF+AWF density (0 – 100 %). The SWF 100m raster layer, consistent with the EEA 100m grid, is a 100m aggregated version of the SWF 5m raster layer. It can be used as a landscape descriptor of SWF density for large areas.
DOI: 10.48328/tudatalib-979
title: NLPEER: A Unified Resource for the Computational Study of Peer Review

description: Dataset of peer review reports and paper drafts from diverse domains and venues. We provide multiple versions of the dataset; when in doubt, download the newest version. You can also download a small-sized version without paper PDFs, in case you are fine with parsed papers and/or only need the peer review data. Change log: * v.0.1: includes splits and annotations for the NLPeer assistance tasks; we fixed minor text encoding issues for the PeerRead portion
DOI: 10.2909/7d3b6dde-5884-45ee-82b2-611e7b2efd1f
title: N2K 2018 (vector), Europe, 6-yearly, Jul. 2021

description: This metadata refers to CLMS N2K 2018 product, the Copernicus Land Cover/Land Use (LC/LU) status map, with 2018 as reference year for the classification, tailored to the needs of biodiversity monitoring in selected Natura2000 sites: 4790 sites of natural and semi-natural grassland formations listed in Annex I of the Habitats Directive, including a 2 km buffer zone surrounding the sites and covering an area of 631.820 km² across Europe (EU27, the United Kingdom and Switzerland). The product includes three Emerald sites in Switzerland. LC/LU has been extracted from VHR satellite data and other available data. The production of N2K updates was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
DOI: 10.48328/tudatalib-1140
title: ArgMining 2023 Shared Task Auxiliary Data NLPeer

description: This dataset comprises the auxiliary data for the 2023 Argumentation Mining Shared Task on Automatic Review Pragmatic Labeling in a domain-transfer setting. Please cite the original NLPeer paper when using this data.
DOI: 10.2909/4962b7d3-b836-49d9-8e84-e72aba4837e9
title: N2K 2012 (vector), Europe, 6-yearly, Jul. 2021

description: This metadata refers to CLMS N2K 2012 product, the Copernicus Land Cover/Land Use (LC/LU) status map, with 2012 as reference year for the classification, tailored to the needs of biodiversity monitoring in selected Natura2000 sites: 4790 sites of natural and semi-natural grassland formations listed in Annex I of the Habitats Directive, including a 2 km buffer zone surrounding the sites and covering an area of 631.820 km² across Europe (EU27, the United Kingdom and Switzerland). The product includes three Emerald sites in Switzerland. LC/LU has been extracted from VHR satellite data and other available data. This metadata specifically refers to the revision of the 2012 N2K status map carried out during the production of the 2018 update. The production of N2K updates was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
DOI: 10.2909/2e98c4d3-45dc-4b30-81ec-6ad4903f04cb
title: N2K 2006 (vector), Europe, 6-yearly, Jul. 2021

description: This metadata refers to CLMS N2K 2006 product, the Copernicus Land Cover/Land Use (LC/LU) status map, with 2006 as reference year for the classification, tailored to the needs of biodiversity monitoring in selected Natura2000 sites: 4790 sites of natural and semi-natural grassland formations listed in Annex I of the Habitats Directive, including a 2 km buffer zone surrounding the sites and covering an area of 631.820 km² across Europe (EU27, the United Kingdom and Switzerland). The product includes three Emerald sites in Switzerland. LC/LU has been extracted from VHR satellite data and other available data. This metadata specifically refers to the revision of the 2006 N2K status map carried out during the production of the 2018 update. The production of N2K updates was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.
DOI: 10.5066/p92k1ut6
title: Cherokee coal bed drill hole data from the Fort Union Formation in the Little Snake River coal field and Red Desert Area, Wyoming

description: The data set contains geologic and mining engineering data from drill holes penetrating through the Cherokee coal bed interval of the Overland Member of the Paleocene Fort Union Formation in the Little Snake River coal field and Red Desert area in south-central Wyoming.