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532 results for “Extent”
Extent, impacts, and drivers of oystershell scale invasions in aspen ecosystems in Arizona, USA 2020-2022
Invasive herbivores that kill foundation tree species pose a major threat to forest ecosystem sustainability. One important foundation tree species in the interior western United States is quaking aspen (Populus tremuloides), which is threatened by recent outbreaks of an invasive insect, oystershell scale (Lepidosaphes ulmi; OSS). OSS outbreaks were first reported in 2016, when OSS began causing dieback and mortality of aspen in wildland forest settings in northern Arizona. Since then, OSS has been observed in other locations across Arizona and in other western states, and recent studies in Arizona have highlighted the threat that OSS poses to aspen sustainability, warranting a comprehensive survey of OSS invasions and their impacts on aspen ecosystems. We sampled aspen populations across Arizona and addressed three questions: (1) What is the geographic extent of OSS in Arizona? (2) What impacts does OSS have on aspen? (3) Which biotic and abiotic factors influence OSS abundance? We found that OSS was widespread in central Arizona and had a negative impact on aspen forest health. OSS was associated with crown damage and tree mortality, especially of intermediate-sized, recruiting stems. Climate was the most important driver of plot-level OSS abundance, with warmer, drier conditions resulting in significantly more OSS. OSS was also associated with less recent fire, presence of ungulate management strategies such as fenced exclosures, and stands with a greater density of aspen saplings. We conclude that active management is required to suppress OSS populations and mitigate damage to aspen ecosystems, and we provide OSS monitoring and management recommendations based on our findings.
GIS layers for marsh extent, inlet tidal prism and watershed size on the Virginia Coast, 1851-2009
Title: Marsh and water extent and inlet watersheds (late-1800's and 2009); 2010 barrier island shorelines Focus: Determining change in marsh extent and change in inlet tidal prism and watershed size in relation to barrier island migration at the VCRSite: Marshes/bays from the southern tip of Smith Island to the northern tip of Wallops Island References: Deaton, C.D., Hein, C.J., and Kirwan, M.L., 2017, Barrier island migration dominates ecogeomorphic feedbacks and drives salt marsh loss along the Virginia Atlantic Coast, USA: Geology, v. 45, no. 2, p. 123-126, doi: 10.1130/G38459.1.(see also: associated Geology Data Repository item 2017030: http://www.geosociety.org/datarepository/2017/2017030.pdf)
Dataset of global extent of marine infrastructure as of 2018
<p>See methods in article:</p> <p>Bugnot AB, Mayer-Pinto M, Airoldi L, Heery EC, Johnston EL, Critchley LP, Strain EMA, Morris RL, Loke LHL, Bishop MJ, Sheehan EV, Coleman RA, Dafforn KA (2020) "Current and projected global extent of marine built structures" Nature Sustainability, 10.1038/s41893-020-00595-1</p>
Range-extending tropical herbivores increase diversity, intensity and extent of herbivory functions in temperate marine ecosystems
1. Climate change is modifying species distributions around the world, forcing some species poleward, where they can alter trophic interactions. Many tropical herbivorous fishes have successfully expanded their ranges into temperate ecosystems, and while it is clear they drive increases in herbivory rates in specific localities, little is known about how they might affect the diversity of herbivory functions across large spatial scales, considering their interaction with assemblages of native herbivores in temperate habitats. 2. We assessed the spatial overlap and habitat associations of native temperate and range-expanding tropical herbivorous fishes in six sub-regions of south-western Australia to determine how incursions of tropical species may have affected the diversity, redundancy (index of uniqueness) and the 'spatial extent' (addition of functions in new areas) and 'intensity' (increasing density of functional groups) of specific herbivory functions in recipient ecosystems. 3. Tropical herbivores were more abundant in temperate ecosystems, forming schools from 40 (parrotfish) to 200 (rabbitfish) individuals strongly associated with seagrass meadows and reefs with high cover of turf algae. Overlap with temperate herbivores was highest in the northern sub-regions, forming unique assemblages, with no apparent species displacements. The addition of tropical species increased functional diversity and uniqueness (the complement of redundancy), introducing novel herbivory functions to many locations. Seagrass browsing increased in spatial extent (27%) and intensity (15 x), while seaweed browsing and grazing increased in intensity by up to 2.5 x in regions with high abundances of tropical herbivores. 4. Our results suggest that the diversity, intensity and spatial extent of different herbivory functions can change as tropical species with different habitat affinities, behaviors and diets shift their distributions poleward. Changes in functional redundancy are likely to be heterogeneous in space and might not increase initially because the diversity of herbivory functions is relatively low in some temperate marine ecosystems. However, there is the potential for greater redundancy as further tropical species arrive, their abundances increase and the spatial and functional overlap of communities rises.
Urban area age and coefficient of variation of spatial area extent
<p>The dataset contains an proxy for the age of urban area and the coefficient of variation of its spatial extent as proxy for spatial dynamics. Both variables are studied as key to conceptualize the process of urbanization by means of clusters of local spatial autocorrelation. The analysis is based on the HYDE 3.1 database, cf. Klein Goldewijk et al. (2010), Klein Goldewijk et al. (2011).</p>
Data for "Unveiling the Global Extent of Land Subsidence: The sinking crisis"
<p>File ds01. Global dataset of subsidence rates.</p><p>File ds02. Zonal statistics and feature importance.</p><p>File ds03. Global raster map of subsidence rates.</p>
The nature and extent of bomb tritium remaining in deep vadose zones: A synthesis and prognosis
<p>Tritium present in deep vadose zones is a useful tracer for estimating groundwater recharge, but its full utility is constrained by not knowing where and for how long the tritium tracing method remains applicable. We obtained 44 tritium profiles from 17 globally distributed sites with vadose zone thicknesses of 13−624 m and used transport models to estimate the number of years that tritium may still be useful. Results show that the method may still be usable for 26 of 44 soil profiles surveyed, mainly in China, Australia, USA, South Africa, and Senegal, with a remaining useful period of between 6 and 83 years. We also developed a statistical model that uses outputs from a hydrological model to predict the applicability of the tritium tracing method. Global implementation of the statistical model showed that the method remains usable at 20% of Earth's land mass (excluding Antarctica and Greenland) over the next few decades.</p>
Processed Sentinel 1, Sentinel 2 and Copernicus Emergency Management Service data for fine tuning and predicting flood extent with IBM's granite-geospatial-uki-flood-detection model
<p>This dataset contains processed Sentinel 1 Sentinel 2 imagery together with flood event labels extracted from the Copernicus Emergency Management Service. It has been assembled to demonstrate fine tuning and inference of flood event segmentation using granite geospatial foundation models developed by IBM Research. Please see <a href="https://huggingface.co/ibm-granite/granite-geospatial-uki-flooddetection">https://huggingface.co/ibm-granite/granite-geospatial-uki-flooddetection</a> for more information on models and use.</p> <p>Sentinel-1</p> <p>The European Space Agency. 2014. Sentinel-1 Mission. <a href="https://sentinel.esa.int/web/sentinel/copernicus/sentinel-1">https://sentinel.esa.int/web/sentinel/missions/sentinel1</a>. Accessed: 2024-11-25.</p> <p>Sentinel-2</p> <p>The European Space Agency. 2015. Sentinel-2 Mission. <a href="https://sentinel.esa.int/web/sentinel/copernicus/sentinel-2">https://sentinel.esa.int/web/sentinel/missions/sentinel2</a>. Accessed: 2024-11-25.</p> <p>Copernicus Emergency Management Service</p> <p><a href="https://emergency.copernicus.eu/mapping/list-of-activations-rapid">https://emergency.copernicus.eu/mapping/list-of-activations-rapid</a>. Accessed: 2024-11-25. </p> <p><strong>Attribution</strong></p> <p>Contains modified Copernicus Sentinel data [2019-2024]</p> <p>Contains modified Copernicus Service information [2019-2023]</p>
Lausanne agglomeration extent
<p>Computation of the spatial extent of the agglomeration of Lausanne with the <a href="https://github.com/martibosch/urban-footprinter">Urban footprinter</a>, which implements the methods proposed in the <a href="http://atlasofurbanexpansion.org/">Atlas of Urban Expansion</a>. More precisely, in this repository, a pixel is considered part of the urban extent when at least 15% of the pixels that surround it (with a 500m radius) are of urban land use.</p> <p><strong>Use conditions</strong></p> <p>The obtained extent is based on the <a href="www.asitvd.ch/md/508">Official cadastral survey of the canton of Vaud</a> whose exclusive owner is the canton of Vaud. In order to use this dataset, the source must be acknowledged as in:</p> <blockquote> <p>Source: Géodonnées Etat de Vaud</p> </blockquote> <p>The use conditions from the dataset are disclosed in <a href="https://dwa.vd.ch/prod/dinf/publicationdinf1_p.nsf/NORM/AB33A0F2E5159579C125712B0044F3F6/$FILE/8401.pdf?OpenElement">the norm OIT 8401 (link in French)</a>.</p> <p><strong>Acknowledgments</strong></p> <ul> <li><strong>Source</strong>: Géodonnées Etat de Vaud</li> <li>With the support of the École Polytechnique Fédérale de Lausanne (EPFL)</li> </ul>
A novel UPLC-MS metabolomic analysis-based strategy to monitor the course and extent of iPSC differentiation to hepatocytes
<p>ms2 raw data, peak tables generated in Quantitative Analysis Software from Agilent and Matlab functions for QC-SVRC, data clean-up and analysis for the publication with title "Monitoring the differentiation of iPSC to hepatocytes by means of UPLC-MS metabolomics".</p>
Parasitic trophic mode of plant host affects the extent of colonization, but does not induce systematic shifts in the composition of foliar endophytic assemblages in temperate meadow ecosystems
<p>1. Foliar endophytic bacteria and fungi are increasingly being recognized as important drivers of plant host phenotype – affecting a wide range of eco-physiological processes. However, we are still lacking fundamental ecosystem-level knowledge about the structure, function, and inter-species interactions in endophytic assemblages associated with plant hosts sharing a common life strategy or ecological specialization.</p> <p>2. In this study, we chose two groups of plants with contrasting physiology as model systems: parasites and their hosts. We assessed whether plant life history strategy, namely differences in nutrient acquisition and accumulation, plays a role in structuring above-ground microbiomes under field conditions.</p> <p>3. We focused on the structure, colonization extent, and potential function of foliar endophytic bacteria and fungi in three root hemiparasitic species (Orobanchaceae), one stem holoparasite (Convolvulaceae), and their potential host plants co-occurring in species-rich temperate grassland ecosystems. For this purpose, we combined next generation amplicon sequencing with quantitative real-time PCR, chemical analyses of leaf tissue, and, in the case of bacteria, functional predictions using information deposited in available databases.</p> <p>4. We found the foliar endophytic assemblages to be diverse, dominated by generalist taxa, but highly similar across all studied species. Despite of the highly contrasting leaf tissue chemistry in the parasitic and non-parasitic plant species, the parasitic trophic mode did not induce systematic shifts in the diversity, composition, or predicted biogeochemical function of the endophytic microbiomes under field conditions. However, compared to their potential hosts, leaves of both hemiparasitic and holoparasitic species harbored significantly lower fungal counts, estimated as <em>ß-actin</em> gene copies ng DNA<sup>-1</sup>, which suggests that parasitic plants may possess mechanisms to regulate the extent of colonization by endophytic fungi.</p>
Full Extent of Trench 01
Before the final layers of the trench were excavated, the upper end of the trench was compleated. These were a series of sondage trenches cutting through deposits of darker soil that infilled some surface mining of the natural geology. [RFG21TR01_Q_04.LQ] Source: Objaverse 1.0 / Sketchfab
Glacial ice sheet extent effects on tidal mixing and the global overturning circulation - Model Output
<p>This dataset contains the output from the tide model and climate model simulations from the publication Wilmes et al. (2018) "Glacial ice sheet extent effects on tidal mixing and the global overturning circulation" submitted to Paleoceanography. The user is referred to the paper for details on the methodology.</p> <p>Dissipation files:</p> <p>Files beginning with "diss" contain tidal dissipation files calculated from the OTIS tide model output at 1/8th deg using the direct method. Files with the M2 constituent only are in .mat format and extend from 86deg S to 89deg N whereas the files containing all constituents (M2, S2, K1 and O1) are in netcdf format and extend from 90deg S to 90deg N. These files regridded and are used as the climate model tidal forcing.</p> <p>Dissipation file list:</p> <p>diss_dir_ze_1_8_rtp_21kyrBP_i6g_-I1.5_-t_8299008.nc Dissipation for LGM ICE-6G ZE ITdrag 1/8th deg<br> diss_dir_ze_1_8_rtp_21kyrBP_i5g_-I1.5_-t_8299031.nc Dissipation for LGM ICE-5G ZE ITdrag 1/8th deg<br> diss_dir_ze_1_8_rtp_00kyrBP_-I1.5_pdsal_8299034.nc Dissipation for PD ZE ITdrag 1/8th deg</p> <p>diss_dir_js_1_8_rtop_21kyrBP_i6g_-t_-I6.0_7673000.nc Dissipation for LGM ICE-6G JS ITdrag 1/8th deg<br> diss_dir_js_1_8_rtop_21kyrBP_i5g_-t_-I6.0_7672999.nc Dissipation for LGM ICE-5G JS ITdrag 1/8th deg<br> diss_dir_js_1_8_rtop_00kyrBP_-I6.0_7672998.nc Dissipation for PD JS ITdrag 1/8th deg</p> <p>diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk5_NH_lmsk_-I1.5_8299652.mat M2 dissipation for LGM ICE-5G blk1 + NH ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk5_-I1.5_8299534.mat M2 dissipation for LGM ICE-5G blk5 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk4_-I1.5_8299533.mat M2 dissipation for LGM ICE-5G blk4 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk3_-I1.5_8299531.mat M2 dissipation for LGM ICE-5G blk3 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk2_-I1.5_8299530.mat M2 dissipation for LGM ICE-5G blk2 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk1_-I1.5_8299529.mat M2 dissipation for LGM ICE-5G blk1 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_140mSLD_i6g_lmsk_-I1.5_8299543.mat M2 dissipation for PD 140mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_140mSLD_i5g_lmsk_-I1.5_8299542.mat M2 dissipation for PD 140mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_130mSLD_i6g_lmsk_-I1.5_8299544.mat M2 dissipation for PD 130mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_130mSLD_i5g_lmsk_-I1.5_8299541.mat M2 dissipation for PD 130mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_120mSLD_i6g_lmsk_-I1.5_8299545.mat M2 dissipation for PD 120mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_120mSLD_i5g_lmsk_-I1.5_8299540.mat M2 dissipation for PD 120mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_110mSLD_i6g_lmsk_-I1.5_8299546.mat M2 dissipation for PD 110mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_110mSLD_i5g_lmsk_-I1.5_8299539.mat M2 dissipation for PD 110mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_100mSLD_i6g_lmsk_-I1.5_8299547.mat M2 dissipation for PD 100mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_100mSLD_i5g_lmsk_-I1.5_8299538.mat M2 dissipation for PD 100mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_120mSLD_-I1.5_8299537.mat M2 dissipation for PD 120mSLD JS ITdrag 1/8th deg</p> <p> </p> <p>Climate model output:</p> <p>UVic climate model output for all simulations in the paper has been compressed using tar and zip. Each folder contains the output yearly averages (tavg.xxx.nc) which have been used in the results section of the paper. The model input files are located in /data. The tidal input file is in /data/O_tideenrg_green.nc. Furthermore included are restart files (rest.xxx.nc), model code in /code, and the model exectuables.</p> <p>Climate mode output list:</p> <p>preind_tidal_ze_00kyr_rtop_-1.5_8299034_dir.tgz Output from PIC<br> lgm_tidal_ze_21kyr_i6g_rtop_-1.5_8299008_dir_tau_lgm.tgz Output from LGM_i6gT_lgmW<br> lgm_tidal_ze_21kyr_i6g_rtop_-1.5_8299008_dir.tgz Output from LGM_i6gT_pdW<br> lgm_tidal_ze_21kyr_i5g_rtop_-1.5_8299031_dir_tau_lgm.tgz Output from LGM_i5gT_lgmW<br> lgm_tidal_ze_21kyr_i5g_rtop_-1.5_8299031_dir.tgz Output from LGM_i5gT_pdW<br> lgm_tidal_ze_00kyr_rtop_-1.5_8299034_dir_tau_lgm.tgz Output from LGM_pdT_lgmW<br> lgm_tidal_ze_00kyr_rtop_-1.5_8299034_dir.tgz Output from LGM_pdT_pdW</p> <p>preind_tidal_js_1_2_rtp_00kyrBP_-I1.0_7881173.tgz Output from PIC_1_2_rtp82<br> preind_js_1_2_SandS8.2_00kyrBP_82SNcb_-I1.0_8317333_dir.tgz Output from PIC_1_2_SS82<br> lgm_tidal_js_1_2_SandS8.2_00kyrBP_120mSLD_82SNcb_-t_-I1.0_8317331_dir.tgz Output from LGM_1_2_SS82_sldT<br> lgm_tidal_js_1_2_SandS8.2_00kyrBP_82SNcb_-I1.0_8317333_dir.tgz Output from LGM_1_2_SS82_pdT<br> lgm_tidal_js_1_2_rtop_00kyrBP_120mSLD_82SN_-t_-I1.0_8315693.tgz Output from LGM_1_2_rtp82_sldT<br> lgm_tidal_js_1_2_rtop_00kyrBP_82SN_pdsal_-I1.0_8315702.tgz Output from LGM_1_2_rtp82_pdT<br> <br> </p> <p> </p> <p> </p>
Comparative histology of abscission zones reveals the extent of convergence and divergence in seed shattering in weedy and cultivated rice
<p>The modification of seed shattering has been a recurring theme in rice evolution. The wild ancestor of cultivated rice disperses its seeds, but reduced shattering was selected during multiple domestication events to facilitate harvesting. Conversely, selection for increased shattering occurred during the evolution of weedy rice, a weed invading cultivated rice fields that has originated multiple times from domesticated ancestors. Shattering requires formation of a tissue known as the abscission zone (AZ), but how the AZ has been modified throughout rice evolution is unclear. We quantitatively characterized the AZ characteristics of relative length, discontinuity, and intensity in 86 cultivated and weedy rice accessions. We reconstructed AZ evolutionary trajectories and determined the degree of convergence among different cultivated varieties and among independent weedy rice populations. AZ relative length emerged as the feature best distinguishing high and low shattering rice. Cultivated varieties differed in average AZ morphology, revealing lack of convergence in how shattering reduction was achieved during domestication. In contrast, weedy rice populations typically converged on complete AZs, irrespective of origin. By examining AZ population-level morphology, our study reveals its evolutionary plasticity, and suggests that the genetic potential to modify the ecologically and agronomically important trait of shattering is plentiful in rice lineages.</p>
To what extent do sea ice algae affect the transmittance of PAR to the ice-ocean interface?
<p><strong>The manuscript has been accepted for publication 28/5/24. THIS IS THE UPDATED VERSION.</strong></p> <p>Data used in the study presented by BHRR and MDK.</p> <p>For the <strong>PAR profile </strong>data (e.g., Sum_150.dat), the number refers to the column-integrated concentration mg chl-a m2. </p> <p>The columns in the files are as follows, e.g.:</p> <p><strong>1 2 3 4 5 6 7</strong></p> <p> 4 BEN-PAR1, 400-700 nm 60.000 201, 9.000E+01, 1.209E+03</p> <p> ...</p> <p> 4 BEN-PAR1, 400-700 nm 60.000 1, 0.000E+00, 3.445E+01</p> <p><strong>1 = # of layers; 2 = name; 3 = PAR wavelength range; 4 = solar zenith angle; 5 = level number; 6 = altitude (km); PAR µmol m2 s-1.</strong></p> <p>The PAR depth profile files display how the PAR decreases as it descends through the snow and sea ice layers. The snow surface is at level 138, and the sea ice surface is at level 118.</p> <p>The <strong>relative PAR </strong>data (e.g., Spr_0.2RP.dat) display the relative PAR value from the base of the ice relative to the snow surface (level 1/level 138) for the different sea ice and snow thicknesses. The number refers to the column-integrated concentration mg chl-a m2. </p> <p><strong>Fig2_DATA</strong>: Wint/Spr/Sum refer to the seasonal scenario, and 0.2-500 refers to column-integrated concentration mg chl-a m2.</p> <p><strong>Fig3_DATA</strong>: Wint/Spr/Sum refer to the seasonal scenario, and _0 and _20 folder names refer to the column-integrated concentration mg chl-a m2. The individual files (e.g., 50_20_ice) refer to the ice thickness cm_snow thickness cm_ fixedice or snow thickness).</p> <p>All data used in Fig. 3 and the variance analysis from Section 3.1 is presented in SnowIceVariance.xlsx</p> <p><strong>Fig4_DATA</strong>: 0-8cm refer to the thickness of the basal algae layer. 2cm_2cm and 2cm_4cm refer to the basal+middle algae layers.</p> <p><strong>FigS1 and FigS2: </strong>additional supplementary figures, similar to Fig2_DATA, of algal concentration (0-10 mg) and bare sea ice under clear-sky and cloudy conditions.</p>
The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages
<p>This is the datasets and R script for our manuscript titled "The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages."</p> <p><strong><em>Study area and sampling of Mecsek_species_Szivaketal.xlsx data</em></strong></p> <p>The study area is situated in the Mecsek Mountains in Hungary. Stream insects were collected using the kick and sweep sampling technique. A hand net with a frame width of 25 cm and a mesh size of 1000 µm was employed. The collection involved disturbing an area of 0.25 × 0.25 m. We employed a stratified random multihabitat sampling procedure. We collected 20 sample units from the major microhabitats in proportion to their occurrence within the reaches. Each sample unit was individually processed and sorted in the laboratory to ensure thorough and accurate analysis.</p> <p><strong>Disperse_trait_Szivaketal.xlsx </strong>data is based on DISPERSE database (Sarremejane et al., 2020)</p> <p>Methods for <strong>microhabitat_coverage_reach_transect.xlsx:</strong> Prior to sampling, we divided each 100 m long reach into 20 transects of comparable length and created microhabitat coverage maps. Using these maps, we assessed the proportionate coverage of different microhabitat types within each reach</p> <p>References:</p> <p>Sarremejane, R., Cid, N., Stubbington, R., Datry, T., Alp, M., Cañedo-Argüelles, M., Cordero-Rivera, A., Csabai, Z., Gutiérrez-Cánovas, C., Heino, J., Forcellini, M., Millán, A., Paillex, A., Pařil, P., Polášek, M., Tierno de Figueroa, J. M., Usseglio-Polatera, P., Zamora-Muñoz, C., & Bonada, N. (2020). DISPERSE, a trait database to assess the dispersal potential of European aquatic macroinvertebrates. <em>Scientific Data</em>,<em> 7(1), </em>386. https://doi.org/10.1038/s41597-020-00732-7</p>
MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imagery
<p>This dataset includes segmentation maps of environmentally impacted areas of mineral extraction sites in Canada and corresponding atmospherically corrected Sentinel-2 data from 2021. </p> <p>To look at an example of how to use the uncompressed assets, see this GitHub repository here: https://github.com/macdonaldezra/MineSegSAT. </p> <p>This dataset and code accompany the paper published at ECRS 2023 which can be found on the conference website at https://doi.org/10.3390/ECRS2023-16886 or at the Arxiv link http://arxiv.org/abs/2311.01676.</p>
Genomic data provides new insights on the demographic history and the extent of recent material transfers in Norway spruce
<p>This dataset includes files and scripts used for the paper "Genomic data provides new insights on the demographic history and the extent of recent material transfers in Norway spruce". </p>
Seasonal and Interannual Variability of Areal Extent of the Gulf Hypoxia from a Coupled Physical-Biogeochemical Model: A New Implication for Management Practice
<p>netcdf data and code for JGR manuscript: seasonal and interannual variability of areal extent of the Gulf Hypoxia from a coupled physical-biogeochemical model: A new implication for management practice</p>
Figure 2 in To what extent do pine and oak clear-cut stumps support mite (Acari: Mesostigmata) communities in temperate forests?
Figure 2. Unique species in CWD, ecotone, and adjacent litter in Scots pine and sessile oak forest.
ScienceDex guides
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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.