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499 results for “delineate”
ERCOT Reservoir Watershed Delineations and Inflow Scenarios
<p>This dataset includes daily runoff totals for historical (reanalysis) and future (GCM simulations) climate. The scenarios are generated for upstream watersheds of 44 reservoirs that supply water for thermal plant cooling throughout the Electric Reliability Council of Texas (ERCOT) power grid region. These data are derived from 1/24 degree gridded CONUS-scale hydrological simulations. Runoff projections are masked to delineated watershed areas (included as shape files) and summed across grid cells within the target watershed. These data may be aggregated to monthly scale to produce unregulated inflow scenarios for ERCOT reservoirs. Reservoir attributes and storage records are included in a supplementary excel spreadsheet. Please see README.txt for further details.</p>
Deep learning based automatic grounding line delineation in DInSAR interferograms
<p>This dataset contains a small subset of the AIS_cci GLL product, which covers several key glaciers and the corresponding HED-delineated grounding lines generated from our automatic delineation pipeline. A description of the attributes of the AIS_cci GLL product is provided in the <a href="https://climate.esa.int/media/documents/ST-UL-ESA-AISCCI-PUG-0001.pdf" target="_blank" rel="noopener">Product User Guide</a>. We do not indicate the split of the interferograms into training, validation and test sets as the complete AIS_cci dataset is not open-access.</p> <p>We also provide eight double difference interferograms at 100 m pixel size to demonstrate the generation of the features stack. Please note, eight samples are not sufficient to train the neural network to achieve the delineation capability described in our work.</p> <p>The "UUID" attribute in both GeoJSON files is an identifier that links the vector geometries to the interferogram TiFF files. </p>
Manually Annotated Drone Imagery (RGB) Dataset for automatic coastline delineation of Southern Baltic Sea, Poland with polyline annotations (0.1.1)
<p><strong>Overview:</strong></p> <p>The Manually Annotated Drone Imagery Dataset (MADRID) consists of hand annotated high resolution RGB images taken in two different types of coasts in Poland, Miedzyzdroje - cliff coast and in Mrzezyno - dune coast in 2022-2023. All images were converted into a uniform format of 1440x2560 pixels, polyline annotated and set into file structure format suited for semantic segmentation tasks (See "Usage" notes below for more details).</p> <p>The raw images of our dataset were captured Zenmuse L1 Sensor (RGB) mounted on a DJI Matrice 300 RTK Drone. Total of 4895 images were captured, however the dataset contains 3876 images with each image annotated with coastline. The dataset only include images with coastlines that are visually identifiable with the human eye. For the annotations of the images, CVAT v2.13 open-source software was utilized.</p> <p><strong>Usage:</strong></p> <p>The compressed RAR file contains two folders train and test. Each folder contains the file that represents the date at which the image was captured in the format of (year, month, day), number of the image and the name of the drone utilized to capture the image. For example, DJI_20220111140051_0051_Zenmuse-L1-mission and DJI_20220111140105_0053_Zenmuse-L1-mission. Additionally, the test folder contains annotations (one per image) which are extracted from the original XML annotation file provided in the CVAT 1.1 image format.</p> <p>Archives were compressed using RAR compression. They can be decompressed in a terminal by opening and extracting Madrid_v0.1_Data.zip.</p> <p>The subset of the data with the name Madrid_subset_data.zip has been added which contains a small portion of train and test images for purpose of inspecting the dataset without downloading the entire dataset.</p> <p>The training images for both training data and testing data are structured as follows.</p> <pre><code>Train/ └── images/ └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG └── ...<br>└── masks/ └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG └── ...<br><br>Test/ └── images/ └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG └── ...<br>└── masks/ └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG └── ...</code></pre> <p> </p>
Outputs of the Jupyter Notebook - Tree crown delineation using detectreeRGB
<p>The dataset contains the outputs of the notebook "Tree crown detection using DeepForest" published in The Environmental Data Science Book.</p> <p><strong>Contributions</strong></p> <p><em>Notebook</em></p> <ul> <li>Sebastian H. M. Hickman (author), University of Cambridge, <a href="https://github.com/shmh40">@shmh40</a></li> <li>Alejandro Coca-Castro (reviewer), The Alan Turing Institute, <a href="https://github.com/acocac">@acocac</a></li> </ul> <p><em>Modelling codebase</em></p> <ul> <li>Sebastian H. M. Hickman (author), University of Cambridge <a href="https://github.com/shmh40">@shmh40</a></li> <li>James G. C. Ball (contributor), University of Cambridge <a href="https://github.com/PatBall1">@PatBall1</a></li> <li>David A. Coomes (contributor), University of Cambridge</li> <li>Toby Jackson (contributor), University of Cambridge</li> </ul>
Albert Delin (d1416)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Albert Delin<br><u>musiXplora-ID</u>: d1416<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/d1416">https://musixplora.de/mxp/d1416</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: April 1712<br><u>Place of Birth</u>: Ath<br><u>Date of Death</u>: November 1771<br><u>Place of Death</u>: Tournai<br><u>First Mentioned</u>: 1738<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Cembalobauer<br><u>Professions (Musical)</u>: Tasteninstrumentenhersteller<br><u>Main Place of Activity</u>: Tournai<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Daily lake area delineated from MODIS using GEEDiT for the year 2019
<p>Daily lake area delineated from MODIS using GEEDiT for the year 2019</p>
Figure 2. Summer core area delineation. The straight line with a in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)
Figure 2. Summer core area delineation. The straight line with a slope of –1 represents the random use of space within the population seasonal range. The curve that sags below the line of random use represents the clumped use of space. The summer core area can be defined at the point whose tangent has slope –1, e.g. 85%, that is, whose tangent is parallel to the line of random use. This is also the point of the curve that is furthest from the line of random use.
Raw data used for COI delineation of the Eupolybothrus species: Authors: Stoev et al. 2013 Data type: genomic The archive contains the following data: 1) fasta-Alignment as the basis for all analyses (.FASTA), 2) mega-file for the calculation of the genetic distances and the NJ tree (.MDSX), 3) NJ-tree in Newick format (.NWK), 4) graph of the TCS Software for the Statistical Parsimony method (.GRAPH) File: E_cavernicolus.rar from: Eupolybothrus cavernicolus Komerički & Stoev sp. n. (Chilopoda: Lithobiomorpha: Lithobiidae): the first eukaryotic species description combining transcriptomic, DNA barcoding and micro-CT imaging data - Biodiversity Data Journal 1: e1013 (28 October 2013) https://doi.org/10.3897/BDJ.1.e1013
<p>Authors: Stoev et al. 2013 Data type: genomic The archive contains the following data: 1) fasta-Alignment as the basis for all analyses (.FASTA), 2) mega-file for the calculation of the genetic distances and the NJ tree (.MDSX), 3) NJ-tree in Newick format (.NWK), 4) graph of the TCS Software for the Statistical Parsimony method (.GRAPH) File: E_cavernicolus.rar</p>
Castel Fusano preliminary burned area delineation through Sentinel 2A and Landsat 8
<p>Castel Fusano urban park has been affected by a series of wildfire that have destroyed a vast area of Mediterranean pine forest . The first huge fire started on 17 July 2017.Followed by a new one on 21 July 2017.</p> <p>Sentinel 2A and Landsat 8 data have been used to map burned areas at 20m and 30m respectively by testing NBR and dNBR with available pre and post images. Sentinel 2A - MSI data are dated 20 June 2017 (pre)and 20 July 2017(post). Landsat 8 - OLI data are dated 6 July 2017 (pre) and 22 July 2017 (post). By using both satellites it is possible to map the effects of the two fires in terms of burned areas. At this preliminary stage the perimeters (here available) have been derived manually as further analysis is in progress.</p> <p>Contains modified Copernicus Sentinel data [2017]; Landsat 8-OLI courtesy of the U.S. Geological Survey</p> <p>SNAP and HARRIS- ENVI </p>
Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation - source data
<p>Full data files for the paper:</p> <p>Duvillier, C., Eckert, N., Evin, G., and Deschâtres, M.: Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation, Nat. Hazards Earth Syst. Sci., 23, 1383–1408, https://doi.org/10.5194/nhess-23-1383-2023, 2023.</p> <p>Can be used to reproduce all the results of the paper and for further benchmarking of snow avalanche potential release area detection methods.</p>
Genomics‐informed delineation of conservation units in a desert amphibian
<p>Delineating conservation units (CUs, e.g., evolutionarily significant units, ESUs, and management units, MUs) is critical to the recovery of declining species because CUs inform both listing status and management actions. Genomic data have strengths and limitations in informing CU delineation and related management questions in natural systems. We illustrate the value of using genomic data in combination with landscape, dispersal, and occupancy data, to inform CU delineation in Nevada populations of the Great Basin Distinct Population Segment of the Columbia spotted frog (<em>Rana luteiventris</em>). <em>R</em>. <em>luteiventris</em> occupies naturally fragmented aquatic habitats in this xeric region, but beaver removal, climate change, and other factors have put many of these populations at high risk of extirpation without management intervention. We addressed three objectives: (1) assessing support for ESUs within Nevada; (2) evaluating and revising, if warranted, the current delineation of MUs; and (3) evaluating genetic diversity, effective population size, adaptive differentiation, and functional connectivity to inform ongoing management actions. We found little support for ESUs within Nevada but did identify potential revisions to MUs based on unique landscape drivers of connectivity that distinguish these desert populations from those in the northern portion of the species range. Effective sizes were uniformly small, with low genetic diversity and weak signatures of adaptive differentiation. Our findings suggest that management actions, including translocations and genetic rescue, might be warranted. Our study illustrates how a carefully planned genetic study, designed to address priority management goals that include CU delineation, can provide multiple insights to inform conservation action.</p>
Text-fig. 10. Progyrolepis heyleri POPLIN, 1999. a: dorsal lobe of the caudal fin with the fulcral scales along the dorsal edge of the lobe, GMC 55, whitened, scale bar 5 mm; b: basal fulcral scales from the dorsal edge of the caudal peduncle, G 123, whitened, scale bar 5 mm; c: fragment of the body of juvenile specimen with dorsal and anal fins, GMC 11, whitened, scale bar 5 mm; d: isolated scales from lateral side of the body, G 123, whitened, scale bar 5 mm; e: ridges on the scale surface, the frame delineates the area illustrated in (f) at higher magnification, G 123, scale bar 500 µm; f: details of the surface with microtubercles, scale bar 50 µm; g: isolated lepidotrichium of an adult specimen with very short and wide segments and with unsegmented basal part, GMC 101, whitened, scale bar 5 mm; h: large conical teeth from the internal row of the maxilla, G 123, scale bar 2 mm; i: microsculpture formed by elliptical proximo-distally elongated protuberances on the large conical tooth, G 123, scale bar 100 µm; j: large conical tooth from the internal row of the maxilla, G 123, scale bar 2 mm; k: microsculpture formed by elliptical proximo-distally elongated protuberances on the large conical tooth, G 123, scale bar 100 µm. in New Actinopterygians From The Permian Of The Brive Basin, And The Ichthyofaunas Of The French Massif Central
Text-fig. 10. Progyrolepis heyleri POPLIN, 1999. a: dorsal lobe of the caudal fin with the fulcral scales along the dorsal edge of the lobe, GMC 55, whitened, scale bar 5 mm; b: basal fulcral scales from the dorsal edge of the caudal peduncle, G 123, whitened, scale bar 5 mm; c: fragment of the body of juvenile specimen with dorsal and anal fins, GMC 11, whitened, scale bar 5 mm; d: isolated scales from lateral side of the body, G 123, whitened, scale bar 5 mm; e: ridges on the scale surface, the frame delineates the area illustrated in (f) at higher magnification, G 123, scale bar 500 µm; f: details of the surface with microtubercles, scale bar 50 µm; g: isolated lepidotrichium of an adult specimen with very short and wide segments and with unsegmented basal part, GMC 101, whitened, scale bar 5 mm; h: large conical teeth from the internal row of the maxilla, G 123, scale bar 2 mm; i: microsculpture formed by elliptical proximo-distally elongated protuberances on the large conical tooth, G 123, scale bar 100 µm; j: large conical tooth from the internal row of the maxilla, G 123, scale bar 2 mm; k: microsculpture formed by elliptical proximo-distally elongated protuberances on the large conical tooth, G 123, scale bar 100 µm.
Text-fig. 4. Briveichthys chantepieorum gen. et sp. nov. a, b: photograph and drawing of the parasphenoid in dorsal view, GMC 15, whitened, scale bars 5 mm; c: maxillary plate in medial view with horizontal lamina along the ventral edge of the bone, segment of the lower jaw with assembly of large slender teeth of the inner row and coronoids with small teeth, GMC 15, whitened, scale bar 5 mm; d: detail of the sculpture on the maxilla and dentalosplenial, GMC 126, whitened, scale bar 5 mm; e: detail of the teeth of the inner and outer row and coronoids on the lower jaw, the frame delineates the area illustrated in (f) at higher magnification, GMC 15, scale bar 2 mm; f: microsculpture formed by elliptical proximo-distally elongated protuberances on the large conical teeth, GMC 15, scale bar 100 µm; g: small fringing fulcra tightly attached to the anterior edge of a lepidotrichium, individual fulcral scales are indicated by arrows, GMC 18, scale bar 2 mm. Abbreviation: bhf – bucco-hypophysial foramen, Cor – coronoids, cp – corpus parasphenoidis, De – dentalosplenial, hl – horizontal lamina, mc – pores of the mandibular sensory canal, Mx – maxilla, paa – processus ascendens anterior, pap – processus ascendens posterior. in New Actinopterygians From The Permian Of The Brive Basin, And The Ichthyofaunas Of The French Massif Central
Text-fig. 4. Briveichthys chantepieorum gen. et sp. nov. a, b: photograph and drawing of the parasphenoid in dorsal view, GMC 15, whitened, scale bars 5 mm; c: maxillary plate in medial view with horizontal lamina along the ventral edge of the bone, segment of the lower jaw with assembly of large slender teeth of the inner row and coronoids with small teeth, GMC 15, whitened, scale bar 5 mm; d: detail of the sculpture on the maxilla and dentalosplenial, GMC 126, whitened, scale bar 5 mm; e: detail of the teeth of the inner and outer row and coronoids on the lower jaw, the frame delineates the area illustrated in (f) at higher magnification, GMC 15, scale bar 2 mm; f: microsculpture formed by elliptical proximo-distally elongated protuberances on the large conical teeth, GMC 15, scale bar 100 µm; g: small fringing fulcra tightly attached to the anterior edge of a lepidotrichium, individual fulcral scales are indicated by arrows, GMC 18, scale bar 2 mm. Abbreviation: bhf – bucco-hypophysial foramen, Cor – coronoids, cp – corpus parasphenoidis, De – dentalosplenial, hl – horizontal lamina, mc – pores of the mandibular sensory canal, Mx – maxilla, paa – processus ascendens anterior, pap – processus ascendens posterior.
Figure 2. Salopella australis displaying parallel parent axes dichotomising into much shorter daughter axes that are terminated with elongate sporangia, delineated with a in Early land plants from the Lower Devonian of central Victoria, Australia, including a new species of Salopella
Figure 2. Salopella australis displaying parallel parent axes dichotomising into much shorter daughter axes that are terminated with elongate sporangia, delineated with a constriction just above dark sporogeneous region. All from Wilson Creek Shale on Frenchmans Spur track, 10 km west of Matlock. A, erect parent axes parallel to each other, dichotomising into two elongate sporangia from Wilson Creek Shale. Re-photographed here; originally published in Tims and Chambers (1984: pl. 32, fig. 4) and Tims (1980: fig. 4.1.9). Specimen NMV P50014. B, forked dichotomy terminated by sporangia from Wilson Creek Shale. And to the right hand side of the forked axis is another long axis, which based on its orientation may also be part of the same plant. Constriction at arrow, lower arrow at dichotomy and double arrow at two aligned axes. Specimen NMV P33219. C, close-up of fructification in A, sporangia barely extend beyond the confines of their subtending axes, with slight constriction present above sporogeneous region (at arrow). Specimen NMV P50014. D, E, holotype, part and counterpart. On part, constriction at arrow in sporangium. On counterpart, both parent axes are parallel to each other (at dotted arrow). Re-photographed here, originally published in Tims and Chambers (1984: pl. 32, figs. 1, 2). Specimens NMV P50008.1 and NMV P50008.2, respectively. F, Gen. et sp. indet. – short daughter axes terminated in elongate sporangia. The cortex may be absent from subtending axes, with only the central line visible. The lack of cortex prevents assigning to S. australis as width of subtending axis to sporangial width is required. Originally photographed by Tims (1980: fig. 4.1.13). Specimen NMV P50010.2. G, S. australis, with two short daughter axes, with constriction at arrow of the sporangium, which is the same width as its subtending axis. Specimen NMV P202886.
Fig. 1 in Comparative molecular and morphological species delineation of Halammohydra Remane, 1927 (Hydrozoa)-with the description of four new species
Fig. 1 Phylogenetic tree of all three genes concatenated with support values of BI/ML (posterior probability/bootstrap value). Nodes with an * have a support of 100/100. Some clusters are collapsed. Sum-
Fig. 14 in Revision of the genus complex Gibbula: an integrative approach to delineating the Eastern Mediterranean genera Gibbula Risso, 1826, Steromphala Gray, 1847, and Phorcus Risso, 1826 using DNA-barcoding and geometric morphometrics (Vetigastropoda, Trochoidea)
Fig. 14 Phorcus turbinatus (Born, 1778). a PCA plot of PC1 vs. PC2 for genus Phorcus. Phorcus turbinatus (petrol) separates from all other species. b Representative specimen of Ph. turbinatus from this study. c One syntype of Ph. turbinatus (NHMW 14002). Scale bars 5 mm
Fig. 12 in Revision of the genus complex Gibbula: an integrative approach to delineating the Eastern Mediterranean genera Gibbula Risso, 1826, Steromphala Gray, 1847, and Phorcus Risso, 1826 using DNA-barcoding and geometric morphometrics (Vetigastropoda, Trochoidea)
Fig. 12 Phorcus richardi (Payraudeau 1826). a PCA plot of PC1 vs. PC2 of genus Phorcus. Phorcus richardi (maroon) is the most abundant species in the current sample. It separates well from Ph. articulatus and Ph. turbinatus. One group of Ph. mutabilis is not distinguishable from Ph.
Fig. 11 in Revision of the genus complex Gibbula: an integrative approach to delineating the Eastern Mediterranean genera Gibbula Risso, 1826, Steromphala Gray, 1847, and Phorcus Risso, 1826 using DNA-barcoding and geometric morphometrics (Vetigastropoda, Trochoidea)
Fig. 11 Steromphala divaricata (Linnaeus, 1758). a PCA plot of PC1 vs. PC2 from genus Steromphala. Steromphala divaricata (pink) cannot be recovered as a completely separated group as it shows a small overlap with St. varia. Type material and material from this study do not overlap. Three individuals (Linné 41–43) of the type material (pink group on the
Fig. 10 in Revision of the genus complex Gibbula: an integrative approach to delineating the Eastern Mediterranean genera Gibbula Risso, 1826, Steromphala Gray, 1847, and Phorcus Risso, 1826 using DNA-barcoding and geometric morphometrics (Vetigastropoda, Trochoidea)
Fig. 10 Steromphala varia (Linnaeus, 1758). a PCA plot of PC1 vs. PC3 of genus Steromphala. Steromphala varia (blue) separates from all other species. Specimens from this study overlap with the type material. b
Fig. 4 in Revision of the genus complex Gibbula: an integrative approach to delineating the Eastern Mediterranean genera Gibbula Risso, 1826, Steromphala Gray, 1847, and Phorcus Risso, 1826 using DNA-barcoding and geometric morphometrics (Vetigastropoda, Trochoidea)
Fig. 4 Plot of first and third principal component of combined lateral and ventral landmark data from Phorcus and Steromphala individuals. A morphological separation of the two genera becomes apparent
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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.