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498 results for “Columbia”
Linked collectors and determiners for: A northern range extension of a Canadian species of Special Concern, Dielis pilipes (Hymenoptera: Scoliidae), in the Okanagan Valley of British Columbia.
Natural history specimen data linked to collectors and determiners held within, "A northern range extension of a Canadian species of Special Concern, Dielis pilipes (Hymenoptera: Scoliidae), in the Okanagan Valley of British Columbia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/8430fcd6-85f7-4daf-931f-91a035277c17">https://bionomia.net/dataset/8430fcd6-85f7-4daf-931f-91a035277c17</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8430fcd6-85f7-4daf-931f-91a035277c17">https://gbif.org/dataset/8430fcd6-85f7-4daf-931f-91a035277c17</a>. Formatted as a Frictionless Data package.
Figure 1 in Distribution extensions of the milliped families Conotylidae and Rhiscosomididae (Diplopoda: Chordeumatida) into northern coastal British Columbia and Southern Alaska
Figure 1. Distributions of the Rhiscosomididae, Shear (1972) incorporated Rhiscosomididae Rhiscosomides, and R. mineri along the Pacific Coast of and its lone genus, Rhiscosomides Silvestri, 1909, northwestern North America. AK, Alaska; BC, British into his reclassification of New World Columbia; OR, Oregon; QCI, Queen Charlotte Islands; chordeumatidans, described a new species from the VI, Vancouver Island; WA, Washington; YT, Yukon central California coast, and depicted the few Territory. known occurrences on a map of the "lower 48" US states. The next year, he provided synoptic accounts of the four established species, described three new species, and mapped occurrences in coastal Oregon (Shear 1973). The familial distribution was characterized as the "Pacific coast region of the United States from the Monterey Peninsula north to the Columbia River," and the northernmost congener, Rhiscosomides mineri Silvestri, 1909, occupied the northern one-third of coastal Oregon, from near Portland to Linn County (Co.) east of Corvallis. Despite the absence of records, Kevan (1983) and Kevan and Scudder (1989) reported the family from Washington state and considered it a potential inhabitant of BC. Speculating that the species was R. mineri, Shelley (1990) recorded the family and genus from west of Sooke on southern Vancouver Island, thereby establishing occurrences north of the Columbia River and in both BC and Canada. Hoffman (1999) summarized known records but missed the record from BC. Rhiscosomidids were discovered in both southern Alaska and northern BC in 2007, and a sample in the FSCA confirms occurrence in Washington. We now identify the species as R. mineri and report two localities from southern coastal BC based on samples in the NCSM and CNIC. The Oregon samples of R. mineri reported by Shear (1973) were obtained from berlesates of litter, grass, and decaying wood, and from "mixed conifer and deciduous duff." Those from northern BC were found in temperate rain forests in association with decaying logs under thick layers of moss, and the Alaska individuals were crawling on a Sitka Spruce [Picea sitchensis (Bongard) Carrière] twig; habitat was not indicated for the samples from Vancouver and Vancouver Island. These records extend the known ranges of the family, genus, and species some 966 km (600 mi) northward and establish their presences in the southern extremity of the Alaskan Panhandle and Alexander Archipelago (Fig. 1). Illustrations and anatomical details are provided by Shear (1973:194-196, figs. 1-3).
Utilizing traditional and remote sensing techniques to assess Colorado potato beetle host preference in the Columbia Basin -- 2021 Data
<p>This is a remote sensing dataset collected in 2021 that contains orthomosaic images, shape files, analysis scripts, and derived numerical data from each plot. Data was collected using the protocol described here:</p> <p><a href="https://www.protocols.io/view/usda-ars-potato-genetics-lab-drone-data-collection-bp2l6148dvqe/v1">https://www.protocols.io/view/usda-ars-potato-genetics-lab-drone-data-collection-bp2l6148dvqe/v1</a></p> <p>Provided are "field map" files that denote the location and contents of each plot, a folder from each date that contains the 10 band orthomosiac, surface model image, a cropped and rotated image, shape files indicating the location of each plot, and derived data. The analysis can be replicated by following along with workflow listed in file named: rondon_cpb_2021.R. Derived data from this experiment can be found it the file named: "Rondon_CPB_data_2021_UAS_all.csv"<br> <br> If you have any questions or comments regarding this dataset please contact Dr. Max Feldman via email: max.feldman@usda.gov</p> <p> </p>
Quantifying the diets of a non-native and native predator during juvenile salmon out-migrations in the Columbia River
<p>This is the clean and raw data files needed to replicate the analysis for our paper. The data contains carbon and nitrogen stable isotope data from several species of fish collected in the upper John Day Reservoir in Washington State in 2012. The data contains stable isotope signatures from predatory Walleye and Northern Pikeminnow, as well as potential prey species. A spreadsheet with descriptions of the column names is included. </p> <p>All of the code and analysis can be found at Karl Veggerby's Github: https://github.com/veggerk/Columbia-River-predatory-fish-study</p>
Data from: Diversity among rare and common congeneric plant species from the Garry oak and Okanagan shrub-steppe ecosystems in British Columbia: implications for conservation
Open the record for dataset details and reuse information.
Subyearling Chinook salmon diets in Lower Columbia River estuarine habitats
Open the record for dataset details and reuse information.
Species-informative GT-seq markers for Columbia River salmonid fishes: Genotypic data and computing resources
Open the record for dataset details and reuse information.
Water Quality Data from Bethel and Stephens Lakes, Columbia, Missouri 2017-2019
This data set encompasses approximately weekly to biweekly water quality samples from Bethel and Stephens Lakes in Columbia, Missouri. The samples were collected as part of the Reservoir Observer Student Scientists Program to examine year-round water quality parameters in these urban reservoirs. Samples were collected by high school students, college students, and staff of the University of Missouri Limnology Laboratrory. Six samples at Stephens Lake were collected by volunteer community scientists as part of the Lakes of Missouri Volunteer Program. Bethel Lake was sampled November 2017 through November 2019, and Stephens Lake was sampled November 2018 through November 2019. Temperature data was obtained from Onset HOBO temperature data loggers that were deployed in 0.5-m increments from the bottom of the reservoirs to within 1 m of the surface.
Metadata for the archive of JPG image files of Herbarium specimens from Columbia used in the BRAVO project.
<p>An excel spreadsheet of the metadata to accompany the images in the file "Archive of JPG image files of Herbarium specimens from Columbia used in the BRAVO project".</p> <p>The metadata is information like (Family, genus, names, collector, coll_num, plot number, & location, identification of the material...)</p> <p>A majority of the metadata is also included on the "label" on the specimens in the images in the archive.</p>
Figure 6 in Survey of rove beetles (Coleoptera, Staphylinidae) from Stanley Park, Vancouver, British Columbia, Canada, with new records and description of a new species. Part 2
Figure 6. Sonoma squamishorum, dorsal view (holotype). Apical part of abdomen removed.
Data from: Overlap of spatial and temporal spawning distributions of spring and summer Chinook Salmon results in hybridization in the upper Columbia River
<p>The upper Columbia River in Washington State (main-stem and tributary habitat between McNary and Chief Joseph dams) is inhabited by two major lineages of Chinook Salmon (<i>Oncorhynchus tshawytscha</i>); endangered spring Chinook Salmon and summer Chinook Salmon which are not ESA listed. The lineages are highly genetically divergent from one another and historically spatial and temporal isolating mechanisms maintained these genetic differences. Both lineages occur in the Entiat River, a system where anthropogenic activity has changed habitat, flows, species composition, and the distribution of the two lineages over the past century. We examined the spatial and temporal overlap in spawning distributions between Entiat River spring and summer Chinook Salmon and we used genetic markers to assess the level of introgression between lineages. Redd surveys were conducted from 2003 to 2017 to describe spatial and temporal spawning patterns of both lineages. We genotyped sub-yearling juvenile Chinook Salmon captured in the Entiat River from 2009–2014 at 90 SNP loci to determine lineage and hybridization status. There was temporal overlap in spawning between lineages in several years and considerable spatial overlap in redd locations annually. Genetic analysis revealed hybridization between lineages does occur, albeit at relatively low rates (2.6% of sub-yearling juveniles genotyped). We detected hybrids each year samples were collected and they were distributed throughout the Entiat River basin. Hybridization between lineages of Chinook Salmon could result in introgression and a loss of genetic diversity between the lineages, and/or, a loss of production by ESA-listed spring Chinook Salmon. The presence of hybrids warrants concern for ESA-listed spring Chinook Salmon in both the Entiat River system and throughout the upper Columbia River basin.</p>
Data from: The Collins' monster, a spinous suspension-feeding lobopodian from the Cambrian Burgess Shale of British Columbia
Lobopodians, a paraphyletic group of Palaeozoic vermiform animals bearing metameric appendages, are key to the origin of extant panarthropods. First discovered in 1983 on Mount Stephen (Yoho National Park, British Columbia), the Cambrian (Wuliuan) Burgess Shale lobopodian nicknamed "Collins' monster" is formally described as <i>Collinsovermis monstruosus</i> gen. et sp. nov. A formal systematic revision of the poorly known lobopodian <i>Acinocricus stichus</i> from Utah is also provided. The body of <i>Collinsovermis</i> is plump and compact, lacking space between lobopod pairs but shows the diagnostic suspension-feeding characters of luolishaniid lobopodians. The six anterior lobopod pairs are elongate, adorned with long and slightly curved ventral spinules arranged in a chevron-like pattern. The eight posterior lobopod pairs, which attach to a truncated body termination, are stout and smooth, each terminated by a single strong recurved claw. Each somite bears a pair of dorsal spines; somites 4 and posteriad bear an additional median spine. The spines on somites 1–3 are much shorter than the spines on the remaining somites. The head is short, bears a pair of antenniform outgrowths, and is covered by an oblong sclerite. <i>Collinsovermis</i> plus <i>Collinsium</i> and <i>Acinocricus</i> comprise a sub-group of stout luolishaniid lobopodians with remarkably long spinules on the front lobopods, interpreted here as a clade (Teratopodidae). This clade is distinct from both the comparatively slenderer <i>Luolishania</i> and a sub-group composed of <i>Facivermis</i> and <i>Ovatiovermis</i> with posterior lobopods reduced or absent. Luolishaniids were mostly sessile forerunners of arthropods that had coupled efficient suspension-feeding devices and, as in <i>Collinsovermis</i> defensive features.
Genotype and phenotype data for Columbia River steelhead.
<p>As life history diversity plays a critical role in supporting the resilience of exploited populations, understanding the genetic basis of those life history variations is important for conservation management. However, effective application requires a robust understanding of the strength and universality of genetic associations. Here, we examine genetic variation of single nucleotide polymorphisms in genomic regions previously associated with migration phenology and age-at-maturity in steelhead (<i>Oncorhynchus mykiss</i>) from the Columbia River. We found chromosome 28 markers (GREB1L, ROCK1 genes) explained significant variance in migration timing in both coastal and inland steelhead. However, strength of association was much greater in coastal than inland steelhead (R<sup>2</sup> 0.51 vs 0.08), suggesting that genomic background and challenging inland migration pathways may act to moderate effects of this region. Further, we found that chromosome 25 candidate markers (SIX6 gene) were significantly associated with age and size at first return migration for inland steelhead, and this pattern was mediated by sex in a predictable pattern (males R<sup>2</sup> = 0.139-0.170; females R<sup>2</sup> = 0.096-0.111). While this encourages using these candidate regions in predicting life history characteristics, we suggest that stock specific associations and haplotype frequencies will be useful in guiding implementation of genetic assays to inform management.</p> <p> </p>
Data and scripts for: Intercomparison of atmospheric datasets and PBL schemes for precipitation downscaling over a coastal mountain valley of northern British Columbia, Canada
<p>anl_6MYJdiv and anl_6MYNNdiv contains pairwise normalizations of dataset outputs (NAM/ERA5, NAM/NARR and ERA5/NARR) of total rainfall in 2017 for simulations with the MYJ and MYNN3 PBL schemes, that can be plotted by fig3_4.ncl. anl_MYJMYNN_div contains MYJ/MYNN3 spatial contours for each of ERA5, NAM -ANL and NARR outputs. anl_snow_MYJ contains MYJ output for total snow in 2017 by the ERA5, NAM-ANL and NARR datasets, for which values at discrete locations can be retrieved with yr2017snow.ncl, daily_ppt.ncl is script to extract modeled daily precipitation (dly_MYJ and dly_MYNN) from the various locations. Fig_ppt_monthly.R is the plotting script for observed and modeled precipitation time series from hydro31pt1pk.txt. nullwrf is array holder for plotting with ncl scripts. rivs_coasts.shp is shape file that is used in the spatial plots. </p>
CMOP 2012 AUV-WP Columbia River estuary benchmark data set
<p>Observational data set from the Columbia River estuary North Channel. The data were collected during two campaigns during May and October-November 2012.</p> <p>Included are Automated Underwater (AUV) mission, and ship-mounted whiched profiler (WP) data sets. Outputs from numerical circulation model are also included.</p> <p>See the README.txt in each zip file for further information.</p>
Spatial priorities for climate-change refugia and connectivity for British Columbia (Version 1.1)
<p>Climate-informed conservation priorities in British Columbia (Version 1.1)</p> <p>Territorial acknowledgement:</p> <p>We respectfully acknowledge that we live and work across diverse unceded territories and treaty lands and pay our respects to the First Nations, Inuit and Métis ancestors of these places. We honour our connections to these lands and waters and reaffirm our relationships with one another.</p> <p><br>Suggested citation:</p> <p>Stolar, J., D. Stralberg, I. Naujokaitis-Lewis, S.E. Nielsen, and G. Kehm. 2024. Spatial priorities for climate-change refugia and connectivity for British Columbia (Version 1.1). Place of publication: University of Alberta, Edmonton, Canada. doi: 10.5281/zenodo.10603162</p> <p>Corresponding author: stolar@ualberta.ca</p> <p><br>Summary:</p> <p>The purpose of this project is to identify spatial locations of (a) vulnerabilities within British Columbia’s current network of protected areas and (b) priorities for conservation and management of natural landscapes within British Columbia under a range of future climate-change scenarios. This involved adaptation and implementation of existing continental- and provincial-scale frameworks for identifying areas that have potential to serve as refugia from climate change or corridors for species migration.</p> <p>Outcomes of this work include the provision of practical guidance for protected areas network design and vulnerabilities identification under climate change, with application to other regions and jurisdictions. Project results, in the form of multiple spatial prioritization scenarios, may be used to evaluate the resilience of the existing protected area network and other conservation designations to better understand the risks to British Columbia’s biodiversity in our changing climate.</p> <p><br>Description:</p> <p>These raster layers represent different scenarios of Zonation rankings of conservation priorities for climate resilience and connectivity between current and 2080s conditions for a provincial-scale analysis. Input conservation features included metrics of macrorefugia (forward and backward climate velocity (km/year), overlapping future and current habitat suitability for ~900 rare species in BC), microrefugia (presence of old growth ecosystems, drought refugia, glaciers/cool slopes/wetlands, and geodiversity), and connectivity. Please see details in the accompanying report.</p> <p><br>File nomenclature:</p> <p>.zip folder (Stolar_et_al_2024_CiCP_Zenodo_upload_Version_1.1.zip):<br>Contains the files listed below.</p> <p>Macrorefugia (2080s_macrorefugia.tif):<br>Scenarios for each taxonomic group (equal weightings for all species) (Core-area Zonation Function)<br>Climate-type velocity + species scenarios from above (Core-area Zonation; equal weightings)</p> <p>Microrefugia (microrefugia.tif):<br>Scenario with old growth forest habitat, landscape geodiversity, wetlands/cool slopes/glaciers, drought refugia (Core-area Zonation; equal weightings)</p> <p>Overall scenario (2080s_macro_micro_connectivity.tif):<br>Inputs from above (with equal weightings) + connectivity metrics (each weighted at 0.1) (Additive Benefit Function Zonation)</p> <p>Conservation priorities (Conservation_priorities_2080s.tif):<br>Overall scenario from above extracted to regions of low human footprint.</p> <p>Restoration priorities (Restoration_priorities_2080s.tif):<br>Overall scenario from above extracted to regions of high human footprint.</p> <p>Accompanying report (Stolar_et_al_2024_CiCP_Zenodo_upload_Version_1.1.pdf):<br>Documentation of rationale, methods and interpretation.</p> <p>READ_ME file (READ_ME_PLEASE.txt):<br>Metadata.</p> <p><br>Legend interpretation:</p> <p>Ranked Zonation priorities increase from 0 (lowest) to 1 (highest).</p> <p>Raster information:</p> <p>Columns and Rows: 1597, 1368<br>Number of Bands: 1<br>Cell Size (X, Y): 1000, 1000<br>Format: TIFF<br>Pixel Type: floating point <br>Compression: LZW</p> <p><br>Spatial reference:</p> <p>XY Coordinate System: NAD_1983_Albers<br>Linear Unit: Meter (1.000000)<br>Angular Unit: Degree (0.0174532925199433)<br>false_easting: 1000000<br>false_northing: 0<br>central_meridian: -126<br>standard_parallel_1: 50<br>standard_parallel_2: 58.5<br>latitude_of_origin: 45<br>Datum: D_North_American_1983</p> <p><br>Extent:</p> <p>West -139.061502 East -110.430823 <br>North 60.605550 South 47.680823 </p> <p><br>Disclaimer: </p> <p>The University of Alberta (UofA) is furnishing this deliverable "as is". UofA does not provide any warranty of the contents of the deliverable whatsoever, whether express, implied, or statutory, including, but not limited to, any warranty of merchantability or fitness for a particular purpose or any warranty that the contents of the deliverable will be error-free.</p> <p><br>Funding:<br> <br>We gratefully acknowledge the financial support of Environment and Climate Change Canada, the Province of British Columbia through the Ministry of Water, Land and Resource Stewardship) and the Ministry of Environment and Climate Change Strategy, the BC Parks Living Lab for Climate Change and Conservation, and the Wilburforce Foundation.</p>
Figure 10 in A methane seep from the deep-marine, late Eocene Keasey Formation, Rock Creek, Columbia County, Oregon
Figure 10. Stratigraphic distribution of macrofaunal elements and associations.
Table 1 in A methane seep from the deep-marine, late Eocene Keasey Formation, Rock Creek, Columbia County, Oregon
<p><b>Table 1.</b> Isotope standards used in rock analyses</p><table><tbody><tr><th><b>Standard</b></th><th><b>d</b> <b>13</b> <b>C</b> <b>(VPDB)</b><b>, ‰</b></th><th><b>d</b> <b>18</b> <b>O</b> <b>(VPDB)</b><b>, ‰</b></th><th><b>Mineral</b></th></tr></tbody><tbody><tr><th>NBS-18</th><td>-5.01 ± 0.03</td><td>-23.01 ± 0.22</td><td>Calcium carbonate</td></tr><tr><th>NBS-19</th><td>1.95 ± 0</td><td>-2.20 ± 0</td><td>Calcium carbonate</td></tr><tr><th>IRU-Marble</th><td>2.10 ± 0.06</td><td>-2.64 ± 0.09</td><td>Calcium carbonate</td></tr><tr><th>VPDBBB</th><td>1.37 ± 0.03</td><td>0.30 ± 0.06</td><td>Calcite</td></tr></tbody></table>
Table 2 in A methane seep from the deep-marine, late Eocene Keasey Formation, Rock Creek, Columbia County, Oregon
<p><b>Table 2</b>. Isotope data from sediment samples and foraminifera. Foraminiferal samples are <i>Globobulimina auriculata, G. pacifica</i>, or <i>Uvigerina cocoaensis.</i></p><table><tbody><tr><th><b>Carbonate sediment sample</b></th><th><b>Foraminifera taxon</b></th><th><b>δ</b> <b>13</b> <b>C % PDB</b></th><th><b>δ18O % PDB</b></th></tr></tbody><tbody><tr><th>RC9</th><td></td><td>5.44</td><td>3.81</td></tr><tr><th>RC10A</th><td></td><td>-45.18</td><td>12.85</td></tr><tr><th>RC10B</th><td></td><td>-30.37</td><td>-8.83</td></tr><tr><th>RC11</th><td></td><td>-40.25</td><td>-4.57</td></tr><tr><th>RC20</th><td></td><td>-13.08</td><td>-10.48</td></tr><tr><th>RC21</th><td></td><td>-54.66</td><td>-0.92</td></tr><tr><th>RC22</th><td></td><td>-43.41</td><td>-8.31</td></tr><tr><th>RC23</th><td></td><td>-48.47</td><td>-8.41</td></tr><tr><th>RC24</th><td></td><td>-45.38</td><td>-9.55</td></tr><tr><th>RC25B</th><td></td><td>-42.33</td><td>-8.94</td></tr><tr><th>RC26</th><td></td><td>-41.76</td><td>-8.56</td></tr><tr><th>RC27</th><td></td><td>-43.28</td><td>-9.04</td></tr><tr><th>WS1</th><td></td><td>-43.33</td><td>-7.18</td></tr><tr><th>WS2</th><td></td><td>-44.80</td><td>-6.66</td></tr><tr><th>WS3A</th><td></td><td>-46.96</td><td>-9.05</td></tr><tr><th>WS3B</th><td></td><td>-41.37</td><td>-6.51</td></tr><tr><th>W4</th><td></td><td>-52.48</td><td>-4.99</td></tr><tr><th></th><td><i>G. auriculata</i></td><td>-2.6</td><td>-2.8</td></tr><tr><th></th><td><i>G. auriculata</i></td><td>-17.7</td><td>0.6</td></tr><tr><th></th><td><i>G. auriculata</i></td><td>-5.8</td><td>-0.1</td></tr><tr><th></th><td><i>G. auriculata</i></td><td>-40.6</td><td>0.3</td></tr><tr><th></th><td><i>G. auriculata</i></td><td>-9.7</td><td>0.8</td></tr><tr><th></th><td><i>G. pacifica</i></td><td>-34.9</td><td>-1.5</td></tr><tr><th></th><td><i>G. pacifica</i></td><td>-46.0</td><td>0.7</td></tr><tr><th></th><td><i>G. pacifica</i></td><td>-45.9</td><td>0.3</td></tr><tr><th></th><td><i>G. pacifica</i></td><td>-4.4</td><td>-2.7</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.2</td><td>0.4</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.6</td><td>0.3</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.3</td><td>0.4</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.3</td><td>0.4</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-0.3</td><td>0.5</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-30.9</td><td>0.3</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-4.1</td><td>0.3</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.4</td><td>0.5</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-1.2</td><td>0.5</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.6</td><td>0.4</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-0.7</td><td>0.2</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.1</td><td>0.3</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-0.7</td><td>0.0</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.0</td><td>0.3</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-12.6</td><td>0.3</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-1.4</td><td>-1.6</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.0</td><td>-1.1</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-0.1</td><td>0.2</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>0.0</td><td>0.3</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-5.1</td><td>0.2</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-5.1</td><td>0.0</td></tr><tr><th></th><td><i>U. cocoaensis</i></td><td>-0.4</td><td>0.7</td></tr></tbody></table>
Microseismic source parameters from induced seismicity in the Horn river basin (British Columbia) [Dataset]
<p>This is a database of results linked to the associated manuscript (Klinger and Werner, 2021) which has been submitted to Geophysical Journal International and is currently in review. </p> <p>We report magnitudes, corner frequencies and stress drops of microseismic events linked to fault reactivation during hydro-fracturing operations in the Horn river basin (British Columbia), as well as the corresponding uncertainties for these parameters. Stress drops are calculated using a Brune model (Brune, 1970) and uncertainties are calculated using a bootstrapping technique. </p> <p>Prior to publication please cite this database using the following two references:</p> <p>Klinger, A.G., Werner, M.J. (2021). Stress drops of hydraulic fracturing induced microseismicity in the Horn River basin: Challenges at high frequencies recorded by borehole geophones. <em>Manuscript submitted to Geophysical Journal International . </em></p> <p>Klinger, A.G., Werner, M.J. (2021). Microseismic source parameters from induced seismicity in the Horn river basin (British Columbia) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5603835.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </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.