Find research datasets worth reusing

opencc-by-4.0Nov 2019View details →

Dataset for "Assessing the exposure of forest habitat types to projected climate change – implications for Bavarian protected areas"

This dataset relates to the publication C. Steinacker, C. Beierkuhnlein, A. Jaeschke (2019), "Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas", Ecology and Evolution. doi:<a href="https://doi.org/10.1002/ece3.5877"> 10.1002/ece3.5877</a>. The file contains: <ul> <li>the R script,</li> <li>the model outputs (raster data of projected distribution of habitat types),</li> <li>the results of the range change analysis,</li> <li>the protected area shapefile with information on the elevational range inside of them and their projected environmental suitability for the corresponding habitat types.</li> </ul> The products build on freely available data (e.g. distribution data from the EEA under the Habitats Directive). All data sources are cited in the related publication. Methodologically, we applied correlative species distribution models and further spatial and geostatistical analyses. We used R (e.g. biomod2-package) as well as GIS-software to conduct the analyses. More detailed descriptions of the methodology are placed in the publication.

opencc-by-4.0Dec 2019View details →

Simulation data of European seabass and meagre growth in Greece (C12A) under climate change scenarios

The dataset contains excel files with the biological predictions for European seabass and meagre generated within ClimeFish C12A. Simulations are done for climate scenarios RCP45 and RCP85 and at three time scales denoting short (2015-2025)-, mid (2025-2035)- and long (2045-2055)- term projections. The temperature data used for the simulations are also included as well as a file containing metadata.

opencc-by-4.0Dec 2016View details →

Figure 2 in Ensemble distribution modeling of the Mesopotamian spiny-tailed lizard, Saara loricata (Blanford, 1874), in Iran: an insight into the impact of climate change

Figure 2. The habitat suitability map of the Mesopotamian spiny-tailed lizard in southwestern Iran.

opencc-by-4.0Oct 2016View details →

Figure 1 in The potential effects of future climate change on suitable habitat for the Taiwan partridge (Arborophila crudigularis): an ensemble-based forecasting method

Figure 1. Modeled range and presence records for Arborophila crudigularis.

opencc-by-4.0Apr 2020View details →

Figure 1 in Influence of Climatic Factors on the Interannual Changes of Gonadosomatic Index of the Red Mullet Mullus barbatus ponticus in the Coastal Crimean Waters

Figure 1. Scheme of the study area and location of sampling points.

Survey instrument, data, and code for paper "Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"

This is the survey instrument, data, and code underlying the manuscript: "Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"

opencc-by-4.0Mar 2025View details →

Impact of climate change on the potential distribution of a rare species of planthopper in China: Caliscelis chinensis Melichar, 1906 and its conservation implications

This information is from the manuscript called "Impact of climate change on the potential distribution of a rare species of planthopper in China: Caliscelis chinensis Melichar, 1906, and its conservation implications." It was added to help with the review process and is extra information.

opencc-by-4.0Aug 2023View details →

Transhumant Pastoralism, Climate Change, and Conflict in Africa

Replication package for McGuirk, Eoin and Nathan Nunn (forthcoming) "Transhumant Pastoralism, Climate Change, and Conflict in Africa," Review of Economic Studies.

Impact of climate change on alpine mass movement - animated drawing

Observed and expected changes of climate-change driven alpine mass movements in the European Alps between colder and warmer conditions. Rising temperatures primary cause for the observed increase of rockfall in alpine regions. Above treeline, increased sediment availability and increased intense precipitation lead to increased debris-flow activity, potentially in locations without historical precedence. Warmer winters are leading scarcer snow conditions at low elevations and a transient state of increased snowfall at high elevations. This shift is leading to more wet snow avalanches, fewer and smaller avalanches at low and mid elevations, and increased avalanche activity at high elevations. No trends have been detected for rockfall below treeline, and findings for debris flows are highly variable. Expected, but not yet visible in observations, are more rock avalanches (despite a measurable increase of rock temperatures), changing ice avalanche activity (despite higher ice temperatures), deteriorating protection forests. Elements not related to mass movements (e.g., human infrastructure, ecosystems) are shown to remain constant, though in reality they may evolve faster than the discussed mass movements.

Dataset for Resistance of Australian fish communities to drought and flood: implications for climate change and adaptations

Data and code analyzing fish response to extreme drought and flood in Australia's Murray Darling Basin. Original fish data can be found here: <a href="https://www.gbif.org/dataset/f38cc07c-49a8-4ca4-8882-5cdde1733c12">https://www.gbif.org/dataset/f38cc07c-49a8-4ca4-8882-5cdde1733c12</a>. Original rainfall data can be found here: http://www.bom.gov.au/climate/maps/rainfall/?variable=rainfall&map=totals&period=month®ion=nat&year=2004&month=01&day=31

opencc-by-4.0Dec 2023View details →

Attributing human mortality from fire PM2.5 to climate change

The dataset and scripts are for reanalysis the paper: Attributing human mortality from fire PM2.5 to climate change.  The script is written in MATLAB. see Readme.txt and FireMort_SI_re.mlx for detail.   Unzip files and make the folder (/Input, /Output, /Major_input, /Minor_input).  Some original dataset (which can be directly driven from ISIMIP repository) were not included.  If you need more information, please contact Chaeyeon Park (email- park.chaeyeon@aist.go.jp, or chaeyeon528@gmail.com)

Data, code snippets, and resources of BMF CP51: Political ideology, climate change belief, and potable water reuse willingness in the USA

The dataset, data description, code snippets, and figures related to the Bayesian analysis of BMF CP 51 on SM3D Portal were uploaded to Zenodo to enhance transparency and assist in later replication and validation (https://mindsponge.info/posts/246). The original dataset can be found at: https://www.sciencedirect.com/science/article/pii/S2352340920301839

Snow height at the Admunsen-Nobile Climate Change Tower, Svalbard, Norway

The automated station is operating at the Amundsen-Nobile Climate Change Tower since 2010, which is in a tundra site almost flat, located in the Kolhaugen area. The station is part of a complex infrastructure where multi-disciplinary observations are routinely performed.

Snow temperature at the Admunsen-Nobile Climate Change Tower, Svalbard, Norway

Code and data from: Towards a more dynamic metabolic theory of ecology to predict climate change effects on biological systems

This repository contains data and code used to produce Figures 1, 2, and S1 in Towards a more dynamic metabolic theory of ecology to predict climate change effects on biological systems. The file "empirical_mte_database.csv" contains a database of peer-reviewed articles pulled from a Web of Science search of papers that empirically tested the temperature dependence predictions of the metabolic theory of ecology (Brown et al. 2004) between 2004 and 2024.  The .zip file contains a jupyter notebook, julia project toml file and a README in order to reproduce the simulations illustrating how different temperature dynamics can lead to different inferred thermal performance curves in populations.

Phenological divergence between plant and animal under climate change

This repository records the preprocessed climatic data and output data for carryover and climatic effects in the following paper:   "Phenological divergence between plants and animals under climate change" (Nature Ecology & Evolution).

Shapefiles showing the locations of long-term climate change refugia and hotspots identified in the FutureMARES report "D6.3, Climate ready strategies for nature-based solutions"

Shapefiles created for the report "D6.3, Climate ready strategies for nature-based solutions", a deliverable report from the Horizon Europe project FutureMARES These shapefiles summarise long-term patterns that emerge from the spatial-meta analysis of physical-biogeochemical and species distribution modelling data, providing an overview of the distribution of climate change refugia and climate change hotspots across six European case study areas between 2026 - 2069, and across the five scenarios considered in the FutureMARES project (Global Sustainability RCP2.6, National Enterprise RCP8.5, World Market RCP8.5, Status Quo RCP2.6 and Status Quo RCP8.5).  Filenames refer to the case study area and scenario each set of shapefiles belong to. Details of the modelling datasets used in each of these analyses, the meta-analysis method and shapefile creation can be found in the relevant chapter in the report "D6.3, Climate ready strategies for nature-based solutions".

Data output from Projecting future climate change impacts on the distribution of pelagic squid in the Southern Ocean

Data output from Projecting future climate change impacts on the distribution of pelagic squid in the Southern Ocean: Rasters, R models and scripts

Data underlying the manuscript: "Analysis of Research Data Sharing in Scientific Articles on Climate Change in the Covid-19 Year. The Spanish case 2020".

This is the research data for the manuscript "Analysis of Research Data Sharing in Scientific Articles on Climate Change in the Covid-19 Year. The Spanish case 2020". The following is the original abstract: Introduction: Sharing research data on climate change would facilitate the development of solutions to curb its impact, for this, data needs to be shared in an optimal way. General objective: To identify how many Spanish scientific articles on climate change published during 2020 share their research data in some way. Specific objectives: a) Identify the attributes of shared research data b) Describe the characteristics of the case studies found on how research data are shared. Methodology: Qualitative and descriptive study analyzing nine attributes: availability (1), accessibility (2), format (3), license (4), linkage (5), funding (6), editorial policy (7), content (8), statistics (9). Results: We analyzed 2212 articles were analyzed, 1867 (84%) articles had no associated research data. The remaining 16% have associated research data: 152 (7%) articles deposited their data in repositories, 42 (2%) submitted their data as supplementary material, 136 (6%) will share their data upon request to the author and 15 (1%) do not have publication permissions. Conclusions: Researchers are willing to share their research data, but under different conditions. Researchers who reused research data did not share the new data they generated. There is a lack of training among researchers on how to manage their research data. There is information on the web on this topic, but it is not just a matter of publishing manuals, but also of creating training spaces within universities, institutes and research centers to build a community of researchers committed to Open Science.

Climate change impacts pair-bond dynamics in a long-lived monogamous species

Manuscript title: Climate change impacts pair-bond dynamics in a long-lived monogamous species Author(s): Ruijiao Sun Woods Hole Oceanographic Institution Massachusetts Institute of Technology University of California, Santa Barbara, USA ruijiaos@ucsb.edu ruijiaos@icloud.com Christophe Barbraud Centre d’Etudes Biologiques de Chizé,  CNRS-La Rochelle University UMR7372,  79360 Villiers en Bois, France christophe.barbraud@cebc.cnrs.fr  Stéphanie Jenouvrier Biology Department,  Woods Hole Oceanographic Institution,  Woods Hole, MA 02543, USA sjenouvrier@whoi.edu Karine Delord Centre d’Etudes Biologiques de Chizé,  CNRS-La Rochelle University UMR7372,  79360 Villiers en Bois, France Kristen Krumhardt Climate and Global Dynamics,  NSF National Center for Atmospheric Research (NCAR),  Boulder, Colorado, USA Rémi Fay Laboratoire de Biom´etrie et Biologie Évolutive,  UMR 5558, Université Claude Bernard Lyon 1,  Villeurbanne, France Francesco Ventura Biology Department,  Woods Hole Oceanographic Institution,  Woods Hole, MA 02543, USA sjenouvrier@whoi.edu Bilgecan Şen Center for Environmental Science, University of Maryland, Cambridge, MD 21613,USA   Abstract: Climate change can influence populations of monogamous species by affecting pair-bond dynamics. This study examined the impact of climate on widowhood and divorce, and the subsequent effects on individual vital rates and life-history outcomes over 54 years in a snow petrel (Pagodroma nivea) population. We found that environmental conditions can affect pair-bond dynamics both directly and indirectly. Divorce was adaptive, occurring more frequently after breeding failure and leading to improved breeding success. Divorce probabilities also increased under severe climatic conditions, regardless of prior breeding success, supporting the "Habitat-mediated” mechanisms. Generally, pair-bond disruptions reduced subsequent vital rates and lifetime outcomes. Climate forecasts from an Atmosphere-Ocean General Circulation Model projected increased male widowhood rates due to decreased sea ice negatively affecting female survival, despite considerable uncertainty. These findings highlight the importance of environmentally induced changes in demographic and pair-bond disruption rates as crucial factors shaping demographic responses to climate change.  Funding information:  This work was supported by the National Science Foundation (OPP 1840058) to SJ and RS. Field data has been collected since 1963 on Ile des Pétrels as part of ORNITHOECO  Project 109 "Seabirds and marine mammals as sentinels of global changes in the Southern Ocean”, funded by the French Polar Institute Paul-Emile Victor (IPEV; PI C. Barbraud). Institut Polaire Françis, Paul-Emile Victor (IPEV), Terres Australes et Antarctiques Françaises, and Zone Atelier Antarctique et Terres Australes (LTSER France, CNRS-INEE) provided logistical and financial support. This study is part of the long-term Studies in Ecology and Evolution (SEE-Life) program of the CNRS and a contribution to Project SENSEI (Sentinels of the sea ice) funded by Fondation BNP Paribas. Data location: Ile des Pétrels, Pointe Géologie Archipelago (66°40'S, 140°01'E), Terre Adélie, Antarctica File folder list: Forecast JAGS_models LHO Software: Bayesian multi-state capture-mark-recapture analyses were conducted using JAGS through R. Life history analyses and pair-bond disruption forecasts were performed using MATLAB. All figures were produced in MATLAB. Description: These files contain all the data, code, and model outputs needed to reproduce the results and figures in our study.  The data comes from a long-term monitoring project of snow petrels breeds at Ile des Pétrels, Pointe Géologie Archipelago (66°40'S, 140°01'E), Terre Adélie, Antarctica. Since 1963, an annual long-term monitoring study has been conducted. Adults and chicks were leg-banded with stainless-steel bands, with adult sex determined by vocalization and relative size. Nest surveys during incubation and fledging periods determined breeding success and pair identities. There are three main subfolders included:  (1) JAGS_models: JAGS code and R code to perform our Multi-state capture-mark-recapture models and corresponding model output;  (2) LHO: Code for life-history outcome analysis;  (3) Forecast: Climate projection data and code for pair-bond disruption forecast. Each subfolder includes a README.txt file that describes its contents.