Find research datasets worth reusing

opencc-by-4.0Jan 2021View details →

Fig. 2 in Associations Between Habitat Quality And Body Size In The Carpathian-Podolian Land Snail Vestia Turgida: Species Distribution Model Selection And Assessment Of Performance

Fig. 2. Linear relationship (solid line) and 95 % confidence interval (gray area) between habitat quality predicted by the BART model (x-axis) and shell height (H in millimeters, y-axis), derived from the linear mixed model.

opencc-by-4.0Dec 2021View details →

Fig. 4. Partial dependence plot for topographic Fig. 5 in Associations Between Habitat Quality And Body Size In The Carpathian-Podolian Land Snail Vestia Turgida: Species Distribution Model Selection And Assessment Of Performance

Fig. 4. Partial dependence plot for topographic Fig. 5. Partial dependence plot for terrain roughness wetness index (TWI). index (tri).

opencc-by-4.0Jan 2021View details →

Fig. 6 in Associations Between Habitat Quality And Body Size In The Carpathian-Podolian Land Snail Vestia Turgida: Species Distribution Model Selection And Assessment Of Performance

Fig. 6. Partial dependence plot for pH water (phh2o). Fig. 7. Partial dependence plot for silt content (SLT).

Datasets from Ganuza et al. 2022: Interactive effects of climate and land use on pollinator diversity differ among taxa and scales

Datasets used in Ganuza et al. 2022: Interactive effects of climate and land use on pollinator diversity differ among taxa and scales. Local and regional data are provided in separate files for the environmental variables, plant species composition and the composition of the different pollinator taxa.

MASS2ANT Snowfall Dataset (Downscaling @5.5km over Dronning Maud Land, Antarctica, 1850 - 2014): Daily fields (Part 1)

We provide in this dataset maps at 5.5 km resolution of the daily and yearly accumulated snowfall over emerged land (Ice Sheet) of Dronning Maud Land (Antarctica) from 1850 to 2014. We used a statistical method to derive fine resolution maps from GCM runs (CESM2, 10 runs). In the method, we searched for analogs in a database we constructed from the association between re-analyses large-scale meteorological fields (ERA5 and ERA-Interim) and RCM daily accumulated snowfall (RACMO2.3p5.5). RACMO2.3p5.5 data are available freely on request (<a href="https://www.projects.science.uu.nl/iceclimate/models/antarctica.php">https://www.projects.science.uu.nl/iceclimate/models/antarctica.php</a>). CESM2 CMIP6 runs are also freely available (<a href="https://esgf-node.llnl.gov/search/cmip6/">https://esgf-node.llnl.gov/search/cmip6/</a>). The complete description of the algorithm and performance is described in: Ghilain N., Vannitsem S., Dalaiden Q., Goosse H., De Cruz L., Wei W., Reconstruction of daily snowfall accumulation at 5.5km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique, submitted to Earth System Science Data (ESSD). The MASS2ANT Snowfall dataset is composed of the annual estimations of snowfall over Dronning Maud Land, the daily time series for the total period for all the emerged grid points of the domain, the principal components time series and Empirical Orthogonal Functions (EOF) offering the possibility to analyze the synoptic weather patterns associated to snowfall over the ice sheet and the Principal Component weights (PCs) time series from the re-analysis in case one wants to extend or improve the database. Realistic weather patterns can be recomposed in associating (product of matrices) the PCs with the EOFs. Here (Daily fields - Part 1), we provide the daily snowfall time series resulting from the downscaling of the 7 first members of CESM2, using ERA5 and RACMO2.3p5.5 for training.

MASS2ANT Snowfall Dataset (Downscaling @5.5km over Dronning Maud Land, Antarctica, 1850 - 2014): Daily fields (Part 3)

We provide in this dataset maps at 5.5 km resolution of the daily and yearly accumulated snowfall over emerged land (Ice Sheet) of Dronning Maud Land (Antarctica) from 1850 to 2014. We used a statistical method to derive fine resolution maps from GCM runs (CESM2, 10 runs). In the method, we searched for analogs in a database we constructed from the association between re-analyses large-scale meteorological fields (ERA5 and ERA-Interim) and RCM daily accumulated snowfall (RACMO2.3p5.5). RACMO2.3p5.5 data are available freely on request (<a href="https://www.projects.science.uu.nl/iceclimate/models/antarctica.php">https://www.projects.science.uu.nl/iceclimate/models/antarctica.php</a>). CESM2 CMIP6 runs are also freely available (<a href="https://esgf-node.llnl.gov/search/cmip6/">https://esgf-node.llnl.gov/search/cmip6/</a>). The complete description of the algorithm and performance is described in: Ghilain N., Vannitsem S., Dalaiden Q., Goosse H., De Cruz L., Wei W., Reconstruction of daily snowfall accumulation at 5.5km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique, submitted to Earth System Science Data (ESSD). The MASS2ANT Snowfall dataset is composed of the annual estimations of snowfall over Dronning Maud Land, the daily time series for the total period for all the emerged grid points of the domain, the principal components time series and Empirical Orthogonal Functions (EOF) offering the possibility to analyze the synoptic weather patterns associated to snowfall over the ice sheet and the Principal Component weights (PCs) time series from the re-analysis in case one wants to extend or improve the database. Realistic weather patterns can be recomposed in associating (product of matrices) the PCs with the EOFs. Here (Daily fields - Part 3), we provide the daily snowfall time series resulting from the downscaling of the 3 last members of CESM2, using ERA-Interim (or ERA5) and RACMO2.3p5.5 for training.

MASS2ANT Snowfall Dataset (Downscaling @5.5km over Dronning Maud Land, Antarctica, 1850 - 2014): Daily fields (Part 2)

We provide in this dataset maps at 5.5 km resolution of the daily and yearly accumulated snowfall over emerged land (Ice Sheet) of Dronning Maud Land (Antarctica) from 1850 to 2014. We used a statistical method to derive fine resolution maps from GCM runs (CESM2, 10 runs). In the method, we searched for analogs in a database we constructed from the association between re-analyses large-scale meteorological fields (ERA5 and ERA-Interim) and RCM daily accumulated snowfall (RACMO2.3p5.5). RACMO2.3p5.5 data are available freely on request (<a href="https://www.projects.science.uu.nl/iceclimate/models/antarctica.php">https://www.projects.science.uu.nl/iceclimate/models/antarctica.php</a>). CESM2 CMIP6 runs are also freely available (<a href="https://esgf-node.llnl.gov/search/cmip6/">https://esgf-node.llnl.gov/search/cmip6/</a>). The complete description of the algorithm and performance is described in: Ghilain N., Vannitsem S., Dalaiden Q., Goosse H., De Cruz L., Wei W., Reconstruction of daily snowfall accumulation at 5.5km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique, submitted to Earth System Science Data (ESSD). The MASS2ANT Snowfall dataset is composed of the annual estimations of snowfall over Dronning Maud Land, the daily time series for the total period for all the emerged grid points of the domain, the principal components time series and Empirical Orthogonal Functions (EOF) offering the possibility to analyze the synoptic weather patterns associated to snowfall over the ice sheet and the Principal Component weights (PCs) time series from the re-analysis in case one wants to extend or improve the database. Realistic weather patterns can be recomposed in associating (product of matrices) the PCs with the EOFs. Here (Daily fields - Part 2), we provide the daily snowfall time series resulting from the downscaling of the 7 first members of CESM2, using ERA-Interim and RACMO2.3p5.5 for training.

opencc-by-4.0Jan 2021View details →

Fig. 3. Partial dependence plot for BIO17 in Associations Between Habitat Quality And Body Size In The Carpathian-Podolian Land Snail Vestia Turgida: Species Distribution Model Selection And Assessment Of Performance

Fig. 3. Partial dependence plot for BIO17 = Precipitation of Driest Quarter; gray area = 95 % confidence interval.

Fig. 3 in Spatial Variation Of The Land Snail Brephulopsis Cylindrica (Gastropoda, Pulmonata, Enidae): A Fractal Approach

Fig. 3. The dependence between intrapopulation variation (Mst) and the sample sites number in B. cylindrica: A — shell height (HS); B — shell width (WS); C — shell form index (FS) (95 % confidence interval is indicated by dotted lines).

Fig. 4 in Spatial Variation Of The Land Snail Brephulopsis Cylindrica (Gastropoda, Pulmonata, Enidae): A Fractal Approach

Fig. 4. Plots of the logarithms of semivariance versus logarithms of spatial scale (in meter) for morphometric shells traits of B. cylindrica of the studying population. D — fractal dimension value; R2 — determination coefF ficient): A — shell height (HS); B — shell width (WS); C — shell form index (FS).

Fig. 2 in Spatial Variation Of The Land Snail Brephulopsis Cylindrica (Gastropoda, Pulmonata, Enidae): A Fractal Approach

Fig. 2. Moran's index for morphometric shells traits of B. cylindrica of the studying population: A — shell height (HS); B — shell width (WS); C — shell form index (FS). Significant values of Moran's index indicated as solid circles.

Fig. 1 in Spatial Variation Of The Land Snail Brephulopsis Cylindrica (Gastropoda, Pulmonata, Enidae): A Fractal Approach

Fig. 1. The variation of morphometric shell traits in B. cylindrica from different sample sites: A — shell height (HS); B — shell width (WS); C — shell form index (FS).

opencc-by-4.0May 2019View details →

Fig. 1 in On Mate Choice in two Xerophilic Species of Land Snails, Brephulopsis cylindrica (Pulmonata, Enidae) and Xeropicta derbentina (Pulmonata, Hygromiidae)

Fig. 1. The relationship between GD and WN in shells of Xeropicta derbentina ('Namyv' population, 1996).

Land cover for MEGAN v3.2

2020, 2017 and 2013 land cover for MEGAN v3.2. Citation: 高超, 张学磊, 修艾军, 等. 中国生物源挥发性有机物 (BVOCs) 时空排放特征研究[J]. 环境科学学报, 2019, 39(12): 4140-4151.

opencc-by-4.0May 2022View details →

The genetic structure and connectivity in two sympatric rodent species with different life histories are similarly affected by land use disturbances

Microsatellite dataset of the wood mouse (Apodemus sylvaticus) and the bank vole (Myodes glareolus). The dataset of the wood mouse is constituted of 194 samples and 7 microsatellite markers: WM_194ind_7STRs.txt The dataset of the bank vole is constituted of 199 samples and 8 microsatellite markers: BV_199ind_8STRs.txt Each locus is encoded in the three-digit format (e.g., 126126) and each column corresponds to a locus specified in the order at the beginning of the file, following the GENEPOP format. Pop indicates the beginning of a new location.   Locus name in WM_194ind_7STRs.txt Locus_1    AS-7-FAM Locus_2    AS-12-PET Locus_3    AS-20-NED Locus_4    AS-34-FAM Locus_5    GTTD9A-PET Locus_6    AS-11-VIC Locus_7    MS-AF-8-NED   Locus name in BV_199ind_8STRs.txt Locus_1    Cg13B8-F_FAM Locus_2    Cg6A1-F_VIC Locus_3    Cg3F12-F_PET Locus_4    Cg13H9-F_PET Locus_5    Cg2E2-F_VIC Locus_6    Cg3E10-F_FAM Locus_7    Cg2A4-F_FAM Locus_8    Cg3A8-F_NED

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Sharing land via keystone structure: retaining naturally regenerated trees may efficiently benefit birds in plantations

Meeting food/wood demands with increasing human population and per-capita consumption is a pressing conservation issue, and is often framed as a choice between land sparing and land sharing. Although most empirical studies comparing the efficacy of land sparing and sharing supported land sparing, land sharing may be more efficient if its performance is tested by rigorous experimental design and habitat structures providing crucial resources for various species––keystone structures––are clearly involved. We launched a manipulative experiment to retain naturally regenerated broad-leaved trees when harvesting conifer plantations in central Hokkaido, northern Japan. We surveyed birds in harvested treatments, unharvested plantation controls and natural forest references one-year before the harvest and for three consecutive post-harvest years. We developed a hierarchical community model separating abundance and space-use (territorial proportion overlapping treatment plots) subject to imperfect detection to assess population consequences of retention harvesting. Application of the model to our data showed that retaining some broad-leaved trees increased total abundance of forest birds over the harvest rotation cycle. Specifically, pre-harvest survey showed that the amount of broad-leaved trees increased forest bird abundance in a concave manner (i.e., in a form of diminishing-return). After harvesting, a small amount of retained broad-leaved trees mitigated negative harvesting impacts on abundance though retention harvesting reduced the space-use. Nevertheless, positive retention effects on the post-harvest bird density as the product of abundance and space-use exhibited a concave form. Thus, small profit reductions were shown to yield large increases in forest bird abundance. The difference in bird abundance between clear-cutting and low amounts of broad-leaved tree retention increased slightly from the first to second post-harvesting years. We conclude that retaining a small amount of broad-leaved trees may be a cost-effective on-site conservation approach for the management of conifer plantations. Retention of 20-30 broad-leaved trees per ha may be sufficient to maintain higher forest bird abundance than clear-cutting over the rotation cycle. Retention approaches can be incorporated into management systems using certification schemes and best management practices. Developing an awareness of the roles and values of naturally regenerated trees is needed to diversify plantations.

opencc-zeroMay 2022View details →

opencc-by-4.0Jun 2022View details →

Global 1-km monthly mean land surface temperature product (2003-2020)

The monthly mean land surface temperature (MMLST) reflects stable intra- and inter-annual temperature variations, and has a wide range of applications in climatological and meteorological studies. We used a combination method (including a weighted average model derived from 253 flux sites and considering the influence of the count of valid observations) and MODIS instantaneous LST products (MOD11A1 and MYD11A1) to generate a global 1-km MMLST dataset for the years 2003–2020. The validation with SURFRAD stations showed a root mean square error of 1.5 K and a Bias of 0.5 K. Compared with existing MMLST product, the newly generated product exhibited a high consistency in reflecting temporal variations of global temperature, and had a better ability to retrieve spatial details of temperature variations.

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Data from: Plant richness, land use and temperature differently shape invertebrate leaf-chewing herbivory on plant functional groups

Nutrient demands of leaf-chewing invertebrate herbivores change with temperature, which causes shifts in herbivores' diets. Temperature may act differently on herbivore species, so that factors shaping herbivore species richness may modulate temperature effects on invertebrate herbivory among plant functional groups with different nutrient composition (C:N ratio low to high: legumes, non-leguminous forbs, grasses). Global warming urges a deeper understanding of temperature effects on herbivory among plant functional groups in different habitats and landscapes. This study obtained measures on proportional leaf area loss to leaf-chewing invertebrate herbivores ('herbivory') on three plant functional groups on 80 plots of open herbaceous vegetation adjacent to different habitat types (forest, grassland, arable field, settlement) along climate and land-use gradients in Bavaria, Germany. Herbivory was analysed with regard to habitat characteristics (habitat type, plant richness at species and family level, local mean temperature), landscape characteristics (proportion of grassland, landscape diversity; 0.2–3.0-km), climate (multi-annual mean temperature, 'MAT') and interactive effects of plant functional group, temperature and habitat or landscape characteristics. Herbivory on plant functional groups changed differently in response to plant richness (family level only) and habitat type, but not to differences in landscape characteristics and temperature – only on grassland plots, multi-annual mean temperature differentially affected herbivory among plant functional groups. Thus, abiotic and biotic factors can differently affect leaf-chewing herbivory on plant functional groups. Under current conditions, plant richness and habitat type more strongly affected herbivory among legumes, forbs and grasses than temperature and landscape-scale land use.

opencc-zeroJun 2022View details →

opencc-by-4.0Jun 2022View details →

Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series - Data and Material

This dataset contains the Enhanced Vegetation Index (EVI) data used in our research work about land surface phenology of Andean Araucaria-Nothofagus forests as well as the phenology information derived from it. Study area: Conguillío National Park, Chile Study period: 2016-2020 Description of datasets: conguillio.sen2.lnd8.evi.2016.2020.nc - A raster dataset (NetCDF) of EVI values (resolution 10m). EVI was calculated from Level-2 Sentinel-2 and Landsat 8 data. To ensure harmonization, the Landsat 8 data was resampled and reprojected to Sentinel-2 properties prior to the index calculation. evi_gb_beck_white.tif - A raster dataset (GeoTiff) of phenological metrics per year (resolution 10m). Metrics were derived by fitting a double logistic function (see Beck et al., 2006) to the smoothed and interpolated EVI pixel time series. Subsequently, the main phenological variables SOS (start of season) and EOS (end of season) were extracted using a 50% threshold value. The dataset itself is a result of the R package "greenbrown" and the layers are named accordingly (see https://greenbrown.r-forge.r-project.org/phenology.php). It is available as GeoTIFF and as R rasterfile. Details about the methodology and results describing this dataset can be found in the following publication: Kosczor, E., Forkel, M., Hernández, J., Kinalczyk, D., Pirotti, F. & Kutchartt, E., 2022. Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series. Int. J. Appl. Earth Obs. Geoinf. 112, 102862. https://doi.org/10.1016/j.jag.2022.102862