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Fig. 4 in The herpetofauna of the Cubango, Cuito, and lower Cuando river catchments of south-eastern Angola
Fig. 4. Cubango River Basin: A. upper Cacuchi River; B. middle Cacuchi River; C. vegetation around upper Cacuchi River; D. dambo on upper Cacuchi River; bottom – rocky gorge on the Cuchi River (Site 46).
Figure 4 in Biodiversity, DNA barcoding data and ecological traits of caddisflies (Insecta, Trichoptera) in the catchment area of the Mediterranean karst River Cetina (Croatia)
Figure 4. Distribution of species Hydroptila vichtaspa according to Fauna Europaea (accessed on 12th May 2021) with location of the first finding in Croatia.
FIGURE 12 in The role of allopatric speciation and ancient origins of Bathynellidae (Crustacea) in the Pilbara (Western Australia): two new genera from the De Grey River catchment
FIGURE 12 Muccanella cundalinensis gen. et sp. nov., (A–D, F–H) male holotype; female allotype (E). (A, B) thoracopod VIII (posterior view); (C, D) thoracopod VIII (frontal view); (E) thoracopod VIII female allotype (frontal view); (F) first pleopod; (G) furcal ramus and dorsal seta (dorsal view); (H) uropod (dorsal view). Scale bar in mm. Abbreviations: O. lb, outer lobe; Bsp, basipod; Endp,. endopod Exp, exopod P.pr, posterior projection; Fr.pr, frontal projection.
FIGURE 1 in The role of allopatric speciation and ancient origins of Bathynellidae (Crustacea) in the Pilbara (Western Australia): two new genera from the De Grey River catchment
FIGURE 1 The Pilbara bioregion with the five major catchments. In red the Goldsworthy study area in the De Grey River catchment, east of Port Hedland town.
BioSCape Vegetation Surveys Berg and Eerste River Catchments, South Africa, 2022-2023
This dataset contains vegetation plot survey data collected at 36 sites across the Berg and Eerste River catchments in the Western Cape, South Africa collected during 2022 and again in 2023 during the 2023 BioSCape Field Collection season. Sampling protocols were designed by the BioSCape Leadership team for use by multiple teams to generate standardized and comparable vegetation plot data across sites. Each plot was circular, 10 m in diameter, and representative of the vegetation community. Species were identified at each 1-m mark along the N-S and W-E transects, totaling 42 identifications per plot. Fractional ground cover of the plot, fractional vegetation dominance, and rarefaction counts for each plot were recorded at all plots from 2023. Data from 2022 have fractional ground cover of the NE quadrant and fractional vegetation dominance. These data are provided in comma separated values (CSV) format. The boundaries of the patches where the vegetation plots were located were recorded as polygons in included Keyhole Markup Language (KML) files.
Compound Drought and Heatwave (CDHW) Event Indicators – Adige River Catchment, 1950–2023
<table> <tbody> <tr> <td> <p><strong>Science Case Name </strong></p> </td> <td> <p>Hot and dry compound events in the Adige River Catchment (Eastern Italian Alps)</p> </td> </tr> <tr> <td> <p><strong>Dataset Title </strong></p> </td> <td> <p>Compound Drought and Heatwave (CDHW) event indicators for the Adige River Catchment (1950-2023)</p> </td> </tr> <tr> <td> <p><strong>Dataset Description </strong></p> </td> <td> <p>Occurrence and severity gridded fields of CDHW events over the Adige River Catchment from 1950 to 2023. The dataset includes the event list with duration, extent, total severity, magnitude and ranking of each identified event.</p> </td> </tr> <tr> <td> <p><strong>Key Methodologies</strong></p> </td> <td> <p>A CDHW event is determined by the co-occurrence of drought and heatwave conditions over at least 60% of the Adige River Catchment. Drought and heatwave indicators were derived using daily temperature and precipitation data from the E-OBS gridded dataset.</p> <p>A drought period is identified as a sequence of consecutive months with a negative Standardized Precipitation Index (SPI), starting with the first month where the SPI-6 (6-month timescale) falls below -1. Heatwaves are defined as periods of at least three consecutive days where the daily maximum temperature (TX) exceeds the 90th percentile for that specific calendar day, determined using a 31-day running mean centred on the day under evaluation and considering all values from 1950 to 2023. When two or more periods of consecutive exceedances are separated by one day with TX below the threshold, they are considered as a single heatwave occurrence and the day below the threshold is included in the event duration. </p> <p>In the occurrence grids, for each day in a CDHW event, grid cells where both drought and heatwave conditions are detected are flagged as "1". If the compound condition is not met, the cell is flagged as "0". In the severity fields, the severity (dimensionless) for each day in a CDHW event is calculated as the product of the standardized daily TX over the days of the event and the absolute value of SPI-6 in the corresponding month. The calculation of the severity is similar to the one proposed by Mukherjee and Mishra (2021), but with the percentiles used in the standardization of TX varying with the day of the year. </p> <p>The list of CDHW events affecting the Adige River Catchment over 1950-2023 includes the start and end dates, the percentage of the area affected, the total severity (dimensionless), magnitude (dimensionless) and ranking of the event. The total severity of the event is defined as the average of the CDHW severities of all grid cells in the catchment experiencing the CDHW conditions. The total severity of the CDHW event at each grid cell is calculated as the sum of the daily severity values over days flagged as "1". The magnitude is the product of the total severity and the fraction of area affected. CDHW events are ranked based on their magnitude.</p> </td> </tr> <tr> <td> <p><strong>Temporal Domain</strong></p> </td> <td> <p>1950-2023</p> </td> </tr> <tr> <td> <p><strong>Spatial Domain</strong></p> </td> <td> <p>Extended region centred on the Adige River Catchment (7.10°-15.30°E, 44.10°-49.10°N); Spatial resolution: 0.1°x0.1° (EPGS:4326)</p> </td> </tr> <tr> <td> <p><strong>Key Indicators </strong></p> </td> <td> <p>CDHW occurrence and severity (grid) and CDHW duration, extent, total severity and magnitude (list)</p> </td> </tr> <tr> <td> <p><strong>Data Format</strong></p> </td> <td> <p>netCDF and CSV</p> </td> </tr> <tr> <td> <p><strong>Source Data</strong></p> </td> <td> <p>E-OBS dataset (v29.0e)</p> </td> </tr> <tr> <td> <p><strong>Accessibility</strong></p> </td> <td> <p>Zenodo, https://doi.org/10.5281/zenodo.13839122 </p> </td> </tr> <tr> <td> <p><strong>Stakeholder Relevance</strong></p> </td> <td> <p>The list of hot and dry events for the Adige River Catchment can support regional water managers to identify the most critical meteorological conditions over the past decades and link them to the observed local impacts. The details about event severity, magnitude and spatial and temporal extent provided in the list can be used directly to characterize the impactful hot and dry episodes. Moreover, the gridded fields offer a consistent description of the phenomena throughout the Adige River Catchment and can be used to localize the affected areas and identify the main spatial patterns of hot and dry conditions. </p> </td> </tr> <tr> <td> <p><strong>Limitations/Assumptions</strong></p> </td> <td> <p>Results accuracy can be influenced by potential biases in the original data source over the study area. The 0.1-grid of E-OBS limits a detailed representation of local conditions and spatial patterns, while the continuous temporal coverage enables historical event detection and analysis. Thresholds used in the proposed definitions are based on expert knowledge and other choices are also possible.</p> </td> </tr> <tr> <td> <p><strong>Contact Information</strong></p> </td> <td> <p>Elena Maines (Center for Climate Change and Transformation - Eurac Research) (data curator)</p> <p>Alice Crespi (Center for Climate Change and Transformation - Eurac Research) (data curator)</p> <p>Marc Lemus-Canovas (Center for Climate Change and Transformation - Eurac Research; Universidade de Santiago de Compostela) (data curator)</p> </td> </tr> </tbody> </table>
FIGURE 5 in Cherax latimanus sp. nov., a new burrow-dwelling freshwater crayfish (Decapoda Parastacidae) from the mid-Murray River catchment, Australia
FIGURE 5. Known distribution of Cherax latimanus sp. nov. (black circles) in the mid-upper Murray River region of southeastern, mainland, Australia, based on verified specimen collections.
FIGURE 3 in Cherax latimanus sp. nov., a new burrow-dwelling freshwater crayfish (Decapoda Parastacidae) from the mid-Murray River catchment, Australia
FIGURE 3. Cherax latimanus sp. nov., close up of A) dorsal and B) ventral view of preserved left chela of holotype, NMV J74790, and C) ventral surface of a typical left chela of a specimen of C. latimanus showing live colouration, and select morphological characters: a) propodal palm sloping to lateral propodal margin from a broad raised ridge; b) broadly extended mesal margin of propodal palm, including c) posterior extension with concave margin; d) size and spacing of setae; e) convex lateral margin of propodus; and, f) details of the dactylus (Images: Tarmo A. Raadik).
Nd isotopes reveal the human-induced change of sediment routing processes in the Huanghe (Yellow River) catchment
<p>Table A1. Sampling locations, Nd isotopes, geochemical compositions and grain size parameters of Huanghe and loess sediments investigated.</p> <p>Table A2. Annual water discharge and sediment load at major gauging stations along the Huanghe mainstream.</p> <p>Table A3. Nd isotopic compositions of major tectonic terranes and sources in the Huanghe basin (literature data).</p> <p>Table A4. Nd isotopes and geochemical compositions of rocks in the North China Craton.</p> <p>Table A5. Nd model ages of rocks from North China Craton (NCC), only rocks with Th/Sc, Th/Cr, Th/Co and Sm/Nd ratios within the range of references for UCC in the NCC have been selected.</p> <p>Table A6. Nd isotopes mixing of sediments from the lower Huanghe.</p>
Analysis data of stream water drained from sub-catchments with different ranges of permafrost area percentage in the headwater region of the Heihe River
<p>Here we provide the analysis data of stream water drained from sub-catchments with different ranges of permafrost area percentage in the headwater region of the Heihe River.</p>
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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.