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Orthophotos and DSMs derived from RPAS flights over wild boar damaged fields in Eigenbilzen in Flanders, Belgium
<p><strong>Study area</strong></p> <p>The study area in Eigenbilzen is situated in the agricultural zone east of the locality of Eigenbilzen, in the province of Limburg, Flanders, Belgium. The flights picture a wheat field where damage by wild boar is apparent.</p> <p><strong>Data collection</strong></p> <p>Data were collected by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a> with a fixed wing drone Gatewing X100 in 2015 (2 flights). RGB data were acquired using an off-the-shelf Ricoh GR Digital IV camera, with the following image bands: 1: red, 2: green, 3: blue, 4: alpha channel. CIR (color-infrared) data were acquired using a NIR-enabled Ricoh GR Digital IV camera, with the following info bands: 1: NIR, 2: red, 3: green, 4: alpha channel.</p> <p><strong>Data processing</strong></p> <p>The raw data were processed to Digital Surface Models and orthophotos by INBO in 2015 using Agisoft PhotoScan Pro 1.0.4, a structure-from-motion (SfM) based photogrammetry software program.</p> <p><strong>Coordinate reference system</strong></p> <p>All geospatial data have the coordinate reference system <code>EPSG:31370 - Belgian Lambert 72</code>.</p> <p><strong>Files</strong></p> <ul> <li><strong>Raw flight data</strong>: images and logs collected by the drone during flight. These files are zipped per flight, with the date (<code>yyyymmdd</code>) and flight number (<code>x</code>) indicated in the file name (<code>flight_yyyymmdd_Bilzen_x.zip</code>).</li> <li><strong>Processed data</strong>: Digital Surface Models (<code>filename_DSM.tif</code>) and orthophotos (<code>filename_Ortho.tif</code>) stitched together from the raw data. The included flight is indicated in the file name (e.g. <code>20150728_Bilzen_1_DSM.tif</code>).</li> <li><strong>Ground control points</strong>: not applicable for this dataset.</li> </ul> <p><strong>Cloud Optimized GeoTIFF</strong></p> <p>The most efficient way to explore the processed data is by loading the <a href="https://www.cogeo.org/">Cloud Optimized GeoTIFFs</a> we created for each processed file. Copy one of the file URLs below and follow e.g. the <a href="https://www.cogeo.org/qgis-tutorial.html">QGIS tutorial</a> to load this type of file.</p> <ul> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_1_Ortho.tif</code> RGB</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_2_DSM.tif</code></li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_2_Ortho.tif</code> CIR</li> <li><code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_1_DSM.tif</code></li> </ul> <p>See <a href="https://s3-eu-west-1.amazonaws.com/lw-remote-sensing/index.html">this page</a> for an overview of public INBO RPAS data.</p>
ATXN1 N-terminal region explains the binding differences of wild-type and expanded forms
<p>Additional file 12 of the publication "<strong>ATXN1 N-terminal region explains the binding differences of wild-type and expanded forms</strong>". Each PDB file describes the docking of wt/expanded ATXN1 with an interactor.</p>
Fig. 3 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 3. Calculated average altitude above sea level (points) with standard deviation (thicker grey line) of the main summer pasture area of six wild reindeer and two wild red deer populations in South Norway sampled for parasitological studies 2012–2014. The calculation was based upon GPS-positions recorded during June, July and August. The recorded min and max altitudes are indicated by the ends of the black line. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad.
Fig. 1 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 1. Map of South Norway showing the location of the 23 Norwegian wild tundra reindeer populations (No 1–23). The six populations included in the present study (No 1, 2, 6, 14, 19, 20) are marked with brighter tan. The location of two wild red deer municipalities studied (No 24, 25) are marked in green. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 5. Calculated mean temperature (̊C) and monthly rainfall (mm) for June–August at the average altitude of the main summer pasture areas for eight wild reindeer and red deer populations sampled for parasitological studies 2012–2014. The data represent the five summers prior to sampling. The range and average (horizontal bar) of mean monthly temperature (left y-axis) and rainfall (right y-axis) are shown by red and blue lines respectively. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 2. Example of Kernel Density Analysis, visualizing the main grazing area of radio-collared females in the wild reindeer population in Nordfjella during June, July and August. The darker the color, the larger number of GPS positions recorded. The outer limits of the area are marked with a dark line. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Cystic echinococcosis in wild boars (Sus scrofa) from southern Italy: Epidemiological survey and molecular characterization
Fig. 4. Distribution of the 93 positive wild boars in the study area and details of prevalence, provinces, regional and national parks.
Figure 1 in Phylogenetic relationships of the vulnerable wild cattle, Malayan gaur (Bos gaurus hubbacki), and its hybrid, the selembu, based on maternal markers
Figure 1. Neighbor-joining tree of the 12S rRNA gene. The numbers at the branches stand for bootstrap values (%) of 1000 replications.
Figure 7 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 7. Median-joining network of 68 haplotypes from 485 wild boars from different regions of the world. Circle sizes are proportional to haplotype frequencies and numbers refer to haplotype codes in Table 2. Numbers on the branches indicate the number of nucleotide substitutions, if more than one. Major haplogroups are delimited by dashed lines. A, Asian; NE, Near Eastern; E1, European E1; E2, European E2. Haplotypes exclusive to Turkey are labeled in green.
Figure 3 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 3. Maximum likelihood phylogenetic tree of haplotypes of the Turkish wild boars (Sus scrofa) obtained in the present study, based on the partial D-loop sequences of mtDNA. Numbers above or below branches indicate bootstrap values. TR numbers refer to current haplotype numbers in Table 1 and H numbers refer to the published haplotype labels downloaded from GenBank (Table 2). E1: European 1 haplogroup/clade in Figure 5, NE: Near East haplogroup/ clade in Figure 5.
Figure 2 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 2. Various phenotypes of obtained Turkish wild boar individuals from different localities studied presently.
Figure 6 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 6. Bayesian inference tree based on 68 partial D-loop haplotypes of 485 wild boars (both obtained in this study and downloaded from GenBank). Posterior probabilities are indicated at nodes. Haplogroups: A, Asian; NE, Near Eastern; E1, European E1; E2, European E2. Outgroup taxa are Sus barbatus and Phacochoerus aethiopicus.
Figure 1 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 1. Location map of the 70 samples examined in this study: black dots indicate local samples of one or more individuals and numbers refer to locality names in Table 1. TT (Turkish Thrace, 1–4), SWA (Southwestern Anatolia, 5–11), CA (Central Anatolia, 12–26), NEA (Northeastern Anatolia, 27–30), and SEA (Southeastern Anatolia, 31–34).
Figure 5 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 5. Maximum likelihood tree based on 68 haplotypes from 485 wild boar D-loop region sequences (both obtained in this study and downloaded from GenBank). Numbers above or below branches indicate bootstrap support values. Haplogroups: A, Asian; NE, Near Eastern; E1, European E1; E2, European E2. Outgroup taxa are Sus barbatus and Phacochoerus aethiopicus.
Figure 4 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 4. Bayesian phylogenetic tree constructed from haplotypes of the wild boar (Sus scrofa) samples collected in this study, based on the partial D-loop sequences of mtDNA. Posterior probabilities are indicated at nodes. TR numbers refer to current haplotype numbers in Table 1 and H numbers refer to the published haplotype labels downloaded from GenBank (Table 2). E1: European 1 haplogroup/clade in Figure 5, NE: Near East haplogroup/clade in Figure 5.
Figure 2 in High genetic distinctiveness of wild and farm fox (Vulpes vulpes L.) populations in Poland: evidence from mitochondrial DNA analysis
Figure 2. Neighbor-joining haplotype network based on frequencies showing relationships between concatenated MT-CO1 and MTATP6 sequences of fur farm and wild red foxes.
Figure 1 in High genetic distinctiveness of wild and farm fox (Vulpes vulpes L.) populations in Poland: evidence from mitochondrial DNA analysis
Figure 1. Distribution of sampling sites of wild and fur-farm red foxes in Poland: light gray areas represent the provinces from which samples of wild foxes were taken; the darker gray area indicated with a black circle shows the location of investigated fox farms; the numbers represent fox fur-farms in particular voivodeships.
Figure. The adult male of Podarcis lilfordi from Sa Dragonera, Mallorca (Balearic Islands), presenting a tail-like appendage in the left hind limb. in A case of limb regeneration in a wild adult Podarcis lilfordi lizard
Figure. The adult male of Podarcis lilfordi from Sa Dragonera, Mallorca (Balearic Islands), presenting a tail-like appendage in the left hind limb.
Figure 3 in Application of multifactorial discriminant analysis in the morphostructural differentiation of wild and cultured populations of Vieja Azul (Andinoacara rivulatus)
Figure 3. Cluster from Mahalanobis distances for cultured and wild populations of both sexes. HP: Cultured females; HS: wild females; MP: cultures males; MS: wild males.
Figure 2 in Application of multifactorial discriminant analysis in the morphostructural differentiation of wild and cultured populations of Vieja Azul (Andinoacara rivulatus)
Figure 2. Plot of the individual observation discriminant scores obtained with the canonical discriminant function. HP: Cultured females; HS: wild females; MP: cultures males; MS: wild males.
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.