Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
37
datasets available to search
ShareScore release 0.9.0
Dataset results
37 results for “climate map”
Flood Hazard Maps and Associated Data for Case Study: Funding rules that promote equity in climate adaptation outcomes
<p>Inundation grids for multiple return periods and multiple scenarios. Please see the underlying study for more details about the methods. The data here can be reproduced following the code and instructions at this repository: https://github.com/CoRE-Lab-UCF/Pollack_et_al_2024/tree/main. Also available here: https://doi.org/10.5281/zenodo.14515896. </p>
Teaser Local Climate Zone maps extracted from the global map of Local Climate Zones.
<p>Local Climate Zone teaser maps for the 15 largest functional urban areas stratified by urban ecoregion. The data is extracted from the global 100 m spatial resolution LCZ map, and is used to plot Figures 5, 6 and 7 of Demuzere et al. (2022a). The full global LCZ map is available via Demuzere et al. (2022b).<br> <br> See readme.txt for more details.</p> <p><em>Demuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., Vliet, J. van, & Bechtel, B. (2022a). A global map of Local Climate Zones to support earth system modelling and urban scale environmental science. Earth Syst. Sci. Data Discuss.<br> Demuzere M, Kittner J, Martilli A, et al. Global map of Local Climate Zones. Zenodo. 2022b. doi:10.5281/zenodo.6364594</em></p>
Raw data for the article "Games on Climate Change: Identifying Development Potentials through Advanced Classification and Game Characteristics Mapping"
<p>Raw data used for the article "Gerber, Andreas, Markus Ulrich, Flurin X. Wäger, Marta Roca-Puigròs, João S.V. Gonçalves, and Patrick Wäger. 2021. "Games on Climate Change: Identifying Development Potentials through Advanced Classification and Game Characteristics Mapping" <em>Sustainability</em> 13, no. 4: 1997. <a href="https://doi.org/10.3390/su13041997">https://doi.org/10.3390/su13041997</a>"</p> <p>The documents include the raw data (both as .csv and .xlsx files with the same content), as well as the publication (.pdf file). The data collection process and the data itself are described in the publication. The data is published as "supplementary material" on the publisher's homepage.</p>
Historical Local Climate Zones (LCZ) maps for Hong Kong (1845-2000)
<p>This dataset contains GIS maps of the historical urbanization of Hong Kong at 12 timeslices from 1845-2000 (1845, 1888, 1895, 1913, 1938, 1945, 1952, 1961, 1975, 1984, 1995, and 2000). These maps were compiled through classification of historical map material, photographs, paintings, and contemporary textual accounts. The maps describe the land cover of the historical urban core of the territory of Hong Kong: Victoria City on Hong Kong Island, and the Kowloon Peninsula on the mainland. Urban form is described in terms of the Local Climate Zones (LCZ) scheme presented by Stewart & Oke (2012).</p> <p>The dataset is currently in the format of a QGIS archive, but other file formats will be made available in the future and can be requested from the authors at any time.</p> <p>For further details on the process of generating the maps and their application, please see Yee and Kaplan (2022).</p> <p> </p> <p>Yee, M., & Kaplan, J. O. (2022). Drivers of urban heat in Hong Kong over the past 116 years. <em>Urban Climate</em>. doi:10.1016/j.uclim.2022/101308</p> <p>Stewart, I. D., & Oke, T. R. (2012). Local Climate Zones for Urban Temperature Studies. <em>Bulletin of The American Meteorological Society, 93</em>(12), 1879-1900. doi:10.1175/bams-d-11-00019.1</p>
Global map of Local Climate Zones
<p>A global 100 m spatial resolution Local Climate Zone (LCZ) map, derived from multiple earth observation datasets and expert LCZ class labels.</p> <p>The LCZ map is based on the LCZ typology (Stewart and Oke, 2012) that distinguish urban surfaces accounting for their typical combination of micro-scale land-covers and associated physical properties. The LCZ scheme is distinguished from other land use / land cover schemes by its focus on urban and rural landscape types, which can be described by any of the 17 classes in the LCZ scheme.</p> <p>Out of the 17 LCZ classes, 10 reflect the 'built' environment, and each LCZ type is associated with generic numerical descriptions of key urban canopy parameters critical to model atmospheric responses to urbanisation. In addition, since LCZs were originally designed as a new framework for urban heat island studies (Stewart and Oke, 2012), they also contain a limited set (7) of 'natural' land-cover classes that can be used as 'control' or 'natural reference' areas. As these seven natural classes in the LCZ scheme can not capture the heterogeneity of the world’s existing natural ecosystems, we advise users - if required - to combine the built LCZ classes with any other land-cover product that provides a wider range of natural land-cover classes.</p> <p><em>Stewart ID, Oke TR. (2012). Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1</em></p>
Future water level, discharge, and flood maps under climate change and infrastructure impacts along the Cambodian Mekong.
<p>Baseline and future (2036-2065) river water levels and discharges at 4 gauging stations along the Cambodian Mekong (Kratie, Kampong Cham, Chrouy Changva, and Neak Loeung) under different scenarios of climate change (RCP 4.5 and 8.5) and infrastructural developments. Average depth and duration flood maps are also included for each scenario.</p> <p> </p> <p>A full description of the methods and results can be found in the article: </p> <p>Alexander J. Horton, Nguyen V. K. Triet, Long P. Hoang, Sokchhay Heng, Panha Hok, Sarit Chung, Jorma Koponen, and Matti Kummu. (2022). The Cambodian Mekong floodplain under future development plans and climate change. <em>Nat. Hazards Earth Syst. Sci.</em></p>
High resolution maps of climatological parameters for analyzing the impacts of climatic changes on Swiss forests
<p>Assessing the impacts of climatic changes on forests requires the analysis of actual climatology within the forested area. In mountainous areas, climatological indices vary markedly with the micro-relief, i.e. with altitude, slope, and aspect. Consequently, when modelling potential shifts of altitudinal belts in mountainous areas due to climatic changes, maps with a high spatial resolution of the underlying climatological indices are fundamental. Here we present a set of maps of climatological indices with a spatial resolution of 25 by 25 m. The presented dataset consists of maps of the following parameters: average daily temperature high and low in January, April, July, and October as well as of the year; seasonal and annual thermal continentality; first and last freezing day; frost-free vegetation period; relative air humidity; solar radiation; and foehn conditions. The parameters represented in the maps have been selected in a knowledge engineering approach. The maps show the climatology of the periods 1961-1990 and 1981-2010. The data can be used for statistical analyses of forest climatology, for developing tree distribution models, and for assessing the impacts of climatic changes on Swiss forests.</p>
Fig. 1. The potential distribution map for B in Long-Term Bioclimatic Modelling The Distribution Of The Fire-Bellied Toad, Bombina Bombina (Anura, Bombinatoridae), Under The Influence Of Global Climate Change
Fig. 1. The potential distribution map for B. bombina under contemporary climatic conditions. The colour gradient represents high (red) to low (green) habitat suitability for the species.
Fig. 4. The potential distribution map for B. bombina under projected 2050 in Long-Term Bioclimatic Modelling The Distribution Of The Fire-Bellied Toad, Bombina Bombina (Anura, Bombinatoridae), Under The Influence Of Global Climate Change
Fig. 4. The potential distribution map for B. bombina under projected 2050 climatic conditions. The colour gradient represents high (red) to low (green) habitat suitability for the species.
Fig. 5. The potential distribution map for F in Distribution Of The Freshwater Snail Species Fagotia (Gastropoda, Melanopsidae) In Ukraine According To Climatic Factors. I. Fagotia Esperi
Fig. 5. The potential distribution map for F. esperi in Ukraine under climatic conditions projected for 2050. Captions as in fig. 4, Bu — "Southern Buh".
Fig. 4. The potential distribution map for F in Distribution Of The Freshwater Snail Species Fagotia (Gastropoda, Melanopsidae) In Ukraine According To Climatic Factors. I. Fagotia Esperi
Fig. 4. The potential distribution map for F. esperi in Ukraine under contemporary climatic conditions (black squares represent pixels of 10-minute resolution, predicted to be suitable for the species). Convex polygons are drawn around assumed clusters: N — "northern", Ds — "Dnister", Du — "Danube", Dn — "Dnipro".
Data and code for high-resolution climate-resilient corridor mapping in southwestern Costa Rica (beta)
<p>High-resolution mapping and validation of potential climate-resilient corridors in southwestern Costa Rica. A fully documented, complete version of this repository will be archived with a DOI upon manuscript publication.</p>
FIGURE 1. Location map. A, A in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)
FIGURE 1. Location map. A, A) Position of Novohrad-Nógrád Basin within the Pannonian Basin System. Modified from Rybár et al., 2016. B) Location map of studied sections. C) Lithostratigraphic scheme. Explanatory notes: FPB- Fiľakovo-Pétervására Basin; DB- Danube Basin; NNB-Novohrad-Nógrád Basin. Modified from Gradstein et al., 2012.
Text-fig. 4. CA climate charts for the Monte Tondo and Tossignano floras, showing climatic ranges of the Nearest Living Relatives of the fossil taxa with respect to MAP. For legend see Text-fig. 3. in Palaeoenvironmental Analysis Of The Messinian Macrofossil Floras Of Tossignano And Monte Tondo (Vena Del Gesso Basin, Romagna Apennines, Northern Italy)
Text-fig. 4. CA climate charts for the Monte Tondo and Tossignano floras, showing climatic ranges of the Nearest Living Relatives of the fossil taxa with respect to MAP. For legend see Text-fig. 3.
Figure 1. A map showing the three climatic regions from which the 162 in Patterns of skull variation in relation to some geoclimatic conditions in the greater jerboa Jaculus orientalis (Rodentia, Dipodidae) from Tunisia
Figure 1. A map showing the three climatic regions from which the 162 samples of Jaculus orientalis were collected in Tunisia, with isohyets indicating the average annual rainfall measured in millimeters (mm year–1). Main climates: B- arid, C- warm temperate. Precipitation: W- desert, S- steppe, s- summer dry. Temperature: a- hot summer, h- hot arid.
Mapping the landscape of climate services
<p>Climate services are technology-intensive, science-based and user-tailored tools providing timely climate information to a wide set of users. They accelerate innovation, while contributing to societal adaptation. Research has explored the advancements of climate services in multiple fields, producing a wealth of interdisciplinary knowledge ranging from climatology to the social sciences. The aim of this paper is to map the global landscape of research on climate services and to identify patterns at individual, affiliation and country level and the structural properties of each community. We use a sample of 358 records published between 1974 and 2018 and quantitatively analyze them. We provide insights into the main characteristics of the community of climate services through Bibliometrics and complement these findings with Network Science. We have computed the centrality of each actor as derived from a Principal Component Analysis of 42 different measures. By exploring the structural properties of the networks of individuals, institutions and countries we derive implications on the most central agents. Furthermore, we detect brokers in the network, capable of facilitating the information flow and increasing the cohesion of the community. We finally analyze the abstracts of the sample via Content Analysis. We find a progressive shift towards climate adaptation and user-centric visions. Agriculture and Energy are the top mentioned sectors. Anglophone countries and institutions are quantitatively dominant, and they are also important in connecting different discipline of the network of scholars, by building on established partnerships. Finding that nodes facilitating the diffusion of information flows (<em>the brokers</em>) are not necessarily the most central, but have a high degree of interdisciplinarity facilitating interactions of different communities. <em>Social media abstract</em>. #WhoisWho in #climateservices? A comprehensive map of research in #Europe and beyond</p>
Data from: Large, climate-sensitive soil carbon stocks mapped with pedology-informed machine learning in the North Pacific coastal temperate rainforest
Open the record for dataset details and reuse information.
Mapping Global Nitrogen Mineralization Rates: A Climate-Soil Perspective
<p>The file "Ecosystem_β.tif" represents the spatial distribution of nitrogen mineralization rates in global ecosystems (cropland, grassland, and forest) under different climate models (SSP1-2.6, SSP2-4.5, SSP5-8.5). "Cropland_β.tif" represents the spatial distribution of cropland ecosystems across various SSPβ scenarios. "Grassland_β.tif" represents the spatial distribution of grassland ecosystems under different SSPβ scenarios. "Forest_β.tif" represents the spatial distribution of forest ecosystems across different SSPβ scenarios.</p>
Global potential invasion maps of traded birds under climate and land-cover change
<p>Biological invasions rank among the top five threatening factors affecting biodiversity, but ongoing changes in climate and land cover might exacerbate risks. We used species distribution models for 609 traded bird species on the CITES list to examine the combined effects of projected climate change and land-cover change worldwide on the potential range expansion of bird species with commercial value as pets. The maps of potential invasion (may be inferred as the invasion risk) have been provided in the main manuscript and here, the potential invasion dataset for the current and future times is provided including the species distribution maps, all as GeoTiff files. The maps for the future time are provided for different future years and over a range of climate scenarios (SSP245, SSP370, and SSP585).</p>
Machine learning-based evidence and attribution mapping of 100,000 climate impact studies - Data
<p>Data for the paper Machine learning-based evidence and attribution mapping of 100,000 climate impact studies</p> <p><strong>Document Metadata</strong></p> <p>0c_doc_info.csv contains basic document metadata for each document considered in our study</p> <p><strong>Predictions</strong></p> <p>In each predictions file, 1 refers to a document hand-labelled as belonging to a category, and 0 refers to a document hand-labelled as not belonging to a category. All values in between are predicted values, where for values greater than 0.5, a document is considered likely to belong to the given category.</p> <p>1_document_relevance.csv contains the predicted relevance of a document to the study.</p> <p>1_driver_predictions.csv contains the predicted climate driver of each document.</p> <p>1_impact_predictions.csv contains the predicted impact type of each document</p> <p><strong>Geographical data</strong></p> <p>Place_df.csv contains a row for each geographical entity automatically extracted from each study</p> <p>Study_gridcell_2.5.csv contains a row matching each study with each grid cell covered by the study’s smallest mentioned geographical entity</p> <p><strong>Merged data</strong></p> <p>2_study_da.csv contains a row for each study describing the aggregated detection and attribution characteristics of the grid cells the study refers to</p> <p>2_merged_da_data.csv contains a row for each grid cell describing the attribution categories and the number of weighted grid cells for each climate driver.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.