Find research datasets worth reusing

opencc-by-4.0Oct 2024View details →

ChinaWheat30L: Long-term winter wheat maps of China at 30-m resolution from 2000 to 2023

This is the long-term winter wheat map product of China at 30-m resolution from 2000 to 2023 (ChinaWheat30L). The product was generated using a knowledge-guided machine learning approach and the integration of satellite remote sensing and environmental datasets.

opengpl-3.0-or-laterOct 2024View details →

Mapping Tree Species Fractions in Temperate Mixed Forests Using Sentinel-2 Time Series and Synthetically Mixed Training Data

This dataset contains the latest version of a selection of result data of the paper "Mapping Tree Species Fractions in Temperate Mixed Forests Using Sentinel-2 Time Series and Synthetically Mixed Training Data" (DOI: https://doi.org/10.1016/j.rse.2025.114740 ) The dataset contains: <ol> <li>A geopackage of training points of pure tree species</li> <li>The resulting 12-band tree species fraction map of Rhineland-Palatinate</li> <li>HSV-colored map of dominant tree species. For information which tree species are represented by the different colors, refer to the Supplemental in the original paper.</li> <li>CSV-table of predicted and reference propotion of the tree species in the validation polygon (the original polygon data can not be published due to data privacy regulations) </li> </ol>

opencc-by-4.0Nov 2024View details →

Overview Map of Cilicia with Main Bronze and Iron Age, Hellenistic and Modern Sites

Overview map (for use on screen please use the jpg with the file extension RGB, for print please use the jpg with the file extension CMYK, the PDF has different layers) and dataset (SRTM DEM with hillshade and shaded relief) of Plain Cilicia with main Bronze and Iron Age, Hellenistic and modern sites Recommended symbology for QGIS: set DEM_srtm_hillshade.tif transparency to 45 %, use for the shaded relief DEM_srtm.tif a layer below the layer-file (DEM_srtm.qml), set here the transparency to 60%. Recommended symbology for Esri ArcGIS: set DEM_srtm_hillshade.tif transparency to 45 %, use for the shaded relief a layer below DEM_srtm.tif the layer-file (DEM_srtm.lyrx), set here the transparency to 5%. The selected sites can be downloaded as geojson file.

MAP 11 in Taxonomic Revision of the Spider Genus Actinopus Perty, 1833 (Araneae, Mygalomorphae, Actinopodidae)

MAP 11. Distribution map of Actinopus robustus O. Pickard-Cambridge, 1892, Actinopus guajara sp. nov., Actinopus palmar Ríos-Tamayo & Goloboff, 2018, Actinopus lomalinda sp. nov., Actinopus concinnus sp. nov. and Actinopus cucutaensis (Mello-Leit"o, 1941).

MAP 8 in Taxonomic Revision of the Spider Genus Actinopus Perty, 1833 (Araneae, Mygalomorphae, Actinopodidae)

MAP 8. Distribution map of Actinopus pindapoy sp. nov., Actinopus longipalpis C. L. Koch, 1842, Actinopus itacolomi sp. nov., Actinopus azaghal sp. nov. and Actinopus tutu sp. nov.

MAP 5 in Taxonomic Revision of the Spider Genus Actinopus Perty, 1833 (Araneae, Mygalomorphae, Actinopodidae)

MAP 5. Distribution map of Actinopus vilhena sp. nov., Actinopus rufipes (Lucas, 1834), Actinopus nattereri (Doleschall, 1871) sp. nov., Actinopus utinga sp. nov., Actinopus caxiuana sp. nov., Actinopus mesa sp. nov., Actinopus xingu sp. nov., Actinopus itaqui sp. nov., Actinopus ipioca sp. nov., Actinopus itapitocai sp. nov. and Actinopus harveyi sp. nov.

MAP 4 in Taxonomic Revision of the Spider Genus Actinopus Perty, 1833 (Araneae, Mygalomorphae, Actinopodidae)

MAP 4. Distribution map of Actinopus confusus sp. nov., Actinopus jaboticatubas sp. nov., Actinopus hirsutus sp. nov., Actinopus ducke sp. nov., Actinopus cornelli sp. nov., Actinopus pampulha sp. nov., Actinopus paraitinga sp. nov., Actinopus candango sp. nov., and Actinopus pinhao sp. nov.

MAP 3 in Taxonomic Revision of the Spider Genus Actinopus Perty, 1833 (Araneae, Mygalomorphae, Actinopodidae)

MAP 3. Distribution map of Actinopus fractus Mello-Leit"o, 1920, Actinopus obidos sp. nov., and Actinopus buritiensis sp. nov.

Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2018

This package supplements the following paper submitted to ESSD: Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2016. This dataset contains the updated version (v4) of the annual oil palm plantation maps for Malaysia and Indonesia from 2001 to 2018 at 100 resolution.

Mapping 'the constructive turn' in comment sections of news websites

The research project critically examines the guidelines of the comments sections of the twenty largest online news outlets over the last ten years. Rather than focusing on the familiar negative comments of news consumers and their narratives, we analyze and compare the news outlets’ guidelines and how they have led in what we call ‘a constructive turn’. We propose our own theoretical framework to analyze what is encouraged and what is discouraged in news outlets’ guidelines. Results show an increasing focus on constructiveness in the guidelines of the comment sections and a shift to more positivity, rather than on deleting and filtering negative or toxic comments. Although platforms differ in their views on the role of commenting and the definition of constructiveness, the turn towards the constructive design of the commenting platform is shared among them. This dataset contains the commentary guidelines in the top 20 English-language online news websites of December 2020 based on research conducted by Similar Web (Source: Similar Web for Gazette). For each news publication, the current commentary guidelines were scrapped from the internet, alongside earlier versions of their guidelines. In total, three moments were used to map the guidelines: 2021, 2015 and 2010. The content was analysed through coding using Nvivo software. We applied a bottom-up approach - by creating simple codes and eventually grouping them together. Each set of guidelines was coded on what behaviour was encouraged and what was discouraged by the news outlet, and what kind of discussion environment the news outlet expects from their commenters in general (e.g. entertaining, healthy, inclusive etc.).  This dataset contains coded content for the project. Following logic was used in uploading the documents: 1 - Nvivo project file - can be opened using Nvivo for Mac - contains all information (files, codes, etc.) We also upload more user-friendly data (the following documents are uploaded in MS Word format): 2 - Codebook (provides the logical structure of coding applied + number of codes for each category) 3 - Code excerpts for discouraged elements found in the content 4 - Code excerpts for encouraged elements found in the content 5 - Code excerpts for discussion environment elements found in the content Disclaimer: The user-generated content guidelines of news media companies are their own intellectual property and we do not own any rights to it.

opencc-by-4.0Dec 2018View details →

UAV Map of Isimila, Tanzania

UAV-based mapping data set for the Middle Pleistocene archaeological site of Isimila, Tanzania. Includes full-resolution orthomosaic, digital elevation model, flight data, and video data.

Mapping canopy cover in African dry forests from combined use of Sentinel-1 and Sentinel-2 data: 2018 maps for Tanzania

The monitoring of tropical forests has benefited from the increased availability of high-resolution earth observation data. However, the seasonality and openness of the canopy of dry tropical forests remains a challenge for optical sensors. The availability of time series of remote sensing images at 10-meters is changing this paradigm. In the context of REDD+ national reporting requirements, we investigated a methodology that is reproducible and adaptable in order to ensure user appropriation. The overall methodology consists of three main steps: (i) the generation of Sentinel-1 (S1) and Sentinel-2 (S2) layers, (ii) the collection of an ad-hoc training/validation dataset and (iii) the classification of the satellite data. Three different classification workflows are compared in terms of their capability to capture the canopy cover of forests in East Africa. Two types of maps are derived from these mapping approaches: i) binary tree cover/no tree cover (TC/NTC) maps, and ii) maps of canopy cover classes. The method is applied at scale, over Tanzania and one final map for each workflow is shared. Two big data computing platforms are combined to exploit the important volume of satellite data available over a yearly period. The reference dataset (training and validation), the three best maps and the codes to produce the S1 and S2 composites on Google Earth Engine are shared here. The folder “reference_dataset.zip” contains the expert based training and validation dataset. The point shapefile corresponding to the center of the plot as well as the 3x3 and 5x5 polygon shapefile are shared together with qml layer file for each type of shapefile. Three maps (binary TC-NTC “pixel” RF, forest type “pixel” RF and “window” ETC) are shared. A 40 km buffer from national boundaries is kept in order to let users refine their area of interest. The qml style file are also shared. In the “script.zip” folder, the javascript codes to generate the S1 and S2 mosaics are shared.

GC-PC_Cerebellar_Connectivity _Maps

Here we provide the dataset (raw electrophysiological recordings + processed data) used to build synaptic maps and compute graph properties in the following article: Cerebellar connectivity maps embody individual adaptive behavior in mice (Spaeth, Bahuguna et al.).  Just unzip the entire file to find the following elements: RawData:  Electrophysiological recordings were recorded with WinWCP 4.2.2 freeware (John Dempster, SIPBS, University of Strathclyde, UK) <ul> <li>Adaptive_Dataset: raw electrophysiological recordings, sorted by individual maps in each adaptive conditions (EC, early cuff; ES, early sham; LC, adapted cuff; LS, adapted sham; ENR, trained; WT, control). Mappings were performed at high-resolution (20*20µm).  Experimental info as well as file sorting are noted in the corresponding spreadsheets within the following notebook: Spaeth_Bahuguna_et_al_GCPC_Mappings_Adaptive_High_Res_Info.xlsx   </li> <li>Development_Dataset: raw electrophysiological recordings, sorted by individual maps in developmental conditions (P9-P10; P12-P13; P14-P18; >P30). Mappings were performed at low-resolution (40*40µm).  Experimental info as well as file sorting are noted in the corresponding spreadsheets within the following notebook: Spaeth_Bahuguna_et_al_GCPC_Mappings_Development_Low_Res_Info.xlsx</li> </ul>   Processed Data: Files are saved in .csv format. <ul> <li>Adaptive_Dataset: processed synaptic maps, sorted by individual maps in each adaptive conditions (EC, early cuff; ES, early sham; LC, adapted cuff; LS, adapted sham; ENR, trained; WT, control). Measures of the Zebrin Bands are found in the following file: Spaeth_Bahuguna_et_al_Measures_Zebrin_Adaptive_HighResDataset.xlsx</li> <li>Development_Dataset: processed synaptic maps, sorted by individual maps in each developmental condition (P9-P10; P12-P13; P14-P18; >P30). Measures of the Zebrin Bands are found in the following file: Spaeth_Bahuguna_et_al_Measures_Zebrins_Development_LowRes_dataset.xlsx</li> </ul> Description of the files (also included in READ_ME.pdf): <ol> <li>XXX_Positions_cp_centered_OK.csv: a vector containing the normalized, relative position along the mediolateral axis for map XXX</li> <li>XXX_Amp_max_OK.csv: a vector containing the maximal synaptic amplitude (in pA) in each column of map XXX, sorted along the mediolateral axis</li> <li>XXX_Amp_Noisemap_OK.csv: a matrix containing the synaptic noise (in pA) in site of map XXX</li> <li>XXX_Amp_Sigma_OK.csv: a matrix containing the standard deviation of the synaptic noise for the entire map XXX (identical value in each cell)</li> <li>XXX_Amp_zscore_2D_OK.csv: a matrix containing the z-score of each site in map XXX</li> <li>XXX_Amp_Zscore_max_OK.csv: a vector containing the maximal z-score in each column of map XXX, sorted along the mediolateral axis</li> <li>XXX_Files_List.csv: a list of the .wcp files used to generate map XXX</li> <li>XXX_Positions_OK.csv: a vector containing the absolute position along the mediolateral axis for map XXX</li> <li>XXX_Amp_2D_OK.csv: a matrix containing the average synaptic amplitude (in pA) recorded for each site of map XXX</li> <li>XXX_Zebrin_OK.csv: a vector containing the relative position of the Zebrin bands for map XXX</li> </ol>

opencc-by-4.0Dec 2020View details →

Spectroscopic ellipsometry mapping of PAAO (AJ-1-04-20 sample)

Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 3 minutes and 16 seconds. The measurements were carried out at 20 × 20 locations covering all of the sample surface (approximately 4.8 × 4.8 mm2). The coordinates of each of 400 locations are available in "mapping_points.csv" file. All measurement data is also included in a single "AJ-1-04-20 Ellipsometry Mapping Measurements.rar" file. Ellipsometer: rotating compensator GES5-E (Semilab). Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum. Detector: UV-Vis CCD with 0.8 nm resolution. Spectral range: approximately 230-960 nm. Light incidence angles: 50°, 55°, 60°, 65°, 70°, 75°. Light beam size: microspot (365 × 470 μm2 at 75° angle of incidence). The same sample was also measured using the same spectroscopic ellipsometry method after being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.7059281

opencc-by-4.0Dec 2020View details →

Spectroscopic ellipsometry mapping of PAAO (AJ-3-04-20 sample)

Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 4 minutes and 8 seconds. The measurements were carried out at 20 × 20 locations covering all of the sample surface (approximately 4.8 × 4.8 mm2). The coordinates of each of 400 locations are available in "mapping_points.csv" file. All measurement data is also included in a single "AJ-3-04-20 Ellipsometry Mapping Measurements.rar" file. Ellipsometer: rotating compensator GES5-E (Semilab). Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum. Detector: UV-Vis CCD with 0.8 nm resolution. Spectral range: approximately 230-960 nm. Light incidence angles: 50°, 55°, 60°, 65°, 70°, 75°. Light beam size: microspot (365 × 470 μm2 at 75° angle of incidence). The same sample was also measured using the same spectroscopic ellipsometry method after being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.7115166

opencc-by-4.0Dec 2020View details →

Spectroscopic ellipsometry mapping of PAAO (AJ-2-04-20 sample)

Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 3 minutes and 37 seconds. The measurements were carried out at 20 × 20 locations covering all of the sample surface (approximately 4.8 × 4.8 mm2). The coordinates of each of 400 locations are available in "mapping_points.csv" file. All measurement data is also included in a single "AJ-2-04-20 Ellipsometry Mapping Measurements.rar" file. Ellipsometer: rotating compensator GES5-E (Semilab). Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum. Detector: UV-Vis CCD with 0.8 nm resolution. Spectral range: approximately 230-960 nm. Light incidence angles: 50°, 55°, 60°, 65°, 70°, 75°. Light beam size: microspot (365 × 470 μm2 at 75° angle of incidence). The same sample was also measured using the same spectroscopic ellipsometry method after being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.7059828

opencc-by-4.0Sep 2017View details →

Fig. 2. Distribution maps. A in A revision of the Adenophorus Group and other glandular-leaved species of Croton (Euphorbiaceae) from northern Madagascar and Mayotte, including three new species

Fig. 2. Distribution maps. A. Croton nudatus Baill. (white), C. stanneus Baill. (yellow); B. Croton adenophorus Baill. (green) and C. tsiampiensis Leandri (white); C. Croton bathianus Leandri (light blue), C. loucoubensis Baill. (yellow), and Croton scoriarum Leandri (red); D. Croton orangeae Kainul. & Berry (red) and C. sahafariensis Kainul. & Berry (yellow); E. Croton mayottae P.E. Berry & Kainul. [Google Earth Image © 2017 DigitalGlobe. Reproduced per attribution guidelines]

Coseismic ground deformation map for the 2020 M>7.5 Shumagin, Alaska, earthquake doublet

This repository contains six interferograms from ESA Sentinel-1 satellite acquired over the 2020 M>7.5 Shumagin, Alaska, earthquake doublet. These interferograms were obtained by processing Sentinel-1 SAR data with the JPL-developed InSAR Scientific Computing Environment (ISCE) open-source software package. The details of six Sentinel-1 interferograms for the 2020 Shumagin earthquake doublet, M7.8 and M7.6 events, are listed in the table below. <table> <tbody> <tr> <td> Earthquake date and magnitude </td> <td> Track no. </td> <td> Direction (asc/des) </td> <td> Incidence (degree) </td> <td> Primary image (yyyy/mm/dd hh:mm:ss) </td> <td> Secondary image (yyyy/mm/dd hh:mm:ss) </td> </tr> <tr> <td>2020/07/22  06:12:44  M7.8</td> <td>73</td> <td>des</td> <td>30-33</td> <td>2020/07/10 17:03:59</td> <td>2020/07/22 17:04:00</td> </tr> <tr> <td> </td> <td>102</td> <td>des</td> <td>43-46</td> <td>2020/07/12 16:47:32</td> <td>2020/07/24 16:47:33</td> </tr> <tr> <td> </td> <td>153</td> <td>asc</td> <td>36-41</td> <td>2020/07/22 04:23:36</td> <td>2020/09/08 04:23:39</td> </tr> <tr> <td>2020/10/19  20:54:38  M7.6</td> <td>73</td> <td>des</td> <td>30-35</td> <td>2020/10/14 17:04:04</td> <td>2020/10/26 17:04:04</td> </tr> <tr> <td> </td> <td>102</td> <td>des</td> <td>43-46</td> <td>2020/10/16 16:47:36</td> <td>2020/10/28 16:47:36</td> </tr> <tr> <td> </td> <td>153</td> <td>asc</td> <td>34-41</td> <td>2020/10/14 04:23:40</td> <td>2020/11/07 04:23:40</td> </tr> </tbody> </table>   These interferograms were generated for figures in: Jiang, Y., González, P. J., and Bürgmann, R. "Subduction earthquakes controlled by incoming plate geometry: The 2020 M>7.5 Shumagin, Alaska, earthquake doublet. " Earth and Planetary Science Letters.

opencc-by-4.0Nov 2018View details →

Fig. 10. – Distribution maps. A in Revision of the group previously known as Panicum L. (Poaceae: Panicoideae) in Madagascar

Fig. 10. – Distribution maps. A. Panicum luridum Hack. (stars), P. manongarivense A. Camus (triangles), P. mitopus K. Schum. (circles) and P. novemnerve Stapf (squares); B. Panicum palackyanum A. Camus (stars), P. perrieri A. Camus (triangles), P. pleianthum Peter (circles) and P. spergulifolium A. Camus (squares).