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8,375 results for “nationalism”
Dietary data of an anuran assemblage from Yasuní National Park
<p class="MsoNormal"><span>This dataset describes the diet of a highly diverse tropical anuran assemblage. We report the diet composition of 35 species collected at Yasuní National Park, b</span>ased on the examination of the gastrointestinal contents of 396 frog specimens available in the Museo de Zoología (QCAZ) of Pontificia Universidad Católica del Ecuador. Anuran species belong to six families: Aromobatidae, Bufonidae, Dendrobatidae, Hylidae, Leptodactylidae, and Strabomantidae. We were able to identify 4,085 prey items that were classified into 71 categories. We present information on anuran-prey interactions, prey-items volume, and anuran specimens' associated data. This data set contributes to understanding the trophic ecology of anuran species and their role in tropical ecosystems.</p>
King Colobus and Western Red Colobus of Taï National Park - microsatellite dataset
<p><strong>Abstract:</strong></p> <p>We compared the genetic patterns - genetic diversity, population structure, and demographic history - of two African colobine species - King Colobus (<em>Colobus polykomos</em>) and Western Red Colobus (<em>Piliocolobus badius</em>) - in Taï National Park (TNP), Ivory Coast, and Cantanhez Forests National Park (CFNP), Guinea-Bissau, using a dataset of microsatellite loci. While TNP is the largest and best preserved forest of West Africa, CFNP is highly fragmented. Thus, these two forests provide the opportunity of studying the impact of forest status on the maintenance of these species' evolutionary potential.</p> <p>CFNP colobines showed very low genetic diversity, while the populations in TNP still maintain high levels of genetic diversity. A strong signal of population decline was and we found no clear signal of population decrease in Western red colobus and a limited decrease in King colobus. These results suggest larger and historically more stable populations in TNP compared to CFNP. We cannot exclude the possibility that the demographic effects resulting from the recent increase of bushmeat hunting are not yet detectable in TNP using genetic data. Nevertheless, the fact that the TNP colobus populations are highly genetically diverse and maintain large effective population sizes suggests that well-preserved forests are crucial for the maintenance of populations, species and probably for the evolutionary potential in colobines.</p> <p> </p> <p><strong>Methods:</strong></p> <p>Blood-derived DNA samples of eight King Colobus (<em>Colobus polykomos</em>) and 20 Western Red Colobus (<em>Piliocolobus badius</em>) were genotyped for eleven and ten, respectively, human-derived nuclear microsatellite loci. Loci were amplified by Polymerase Chain Reaction (PCR), following the protocol optimised by Minhós <em>et al.</em> (2013). PCR products were analysed using an ABI 3130XL Automatic Sequencer at the Genomics Unit of Instituto Gulbenkian de Ciência, Portugal. Alleles were scored using GeneMapper® Software version 4.1 (Applied Biosystems). Each locus was genotyped up to three times per sample and two independent observers scored the genotypes. Genotypes were considered as heterozygous after each allele was observed in at least two independent PCR reactions. This dataset presents the consensus genotypes obtained for each individual at each locus. No GPS data are available for this dataset, although all individuals are known to come from Taï National Park, Ivory Coast.</p> <p> </p> <p><strong>Usage notes:</strong></p> <p>The dataset corresponds to two CSV files - one for King Colobus (<em>Colobus polykomos</em>) and another for Western Red Colobus (<em>Piliocolobus badius</em>). The header shows microsatellite names (2 columns per microsatellite, as these are diploid individuals) and each subsequent row corresponds to an individual. The first column exhibits the codes of the individuals. Missing data is coded as 0.</p>
Data from: Three new Gesneria species (Gesneriaceae) support Parc National Pic Macaya (Haiti) as an important biodiversity hotspot
<p><span>The Caribbean Islands are a biodiversity hotspot characterized by a high taxonomic diversity and endemicity, suggesting that many species have yet to be discovered. Unfortunately, many of these undescribed species may go extinct before they are described because of the drastic habitat loss in these oceanic islands. In this study, we describe three new plant species of <em>Gesneria</em> (Gesneriaceae) that are endemic to the Massif de la Hotte in southwest Haiti, a region recently affected by extensive deforestation. Elliptical Fourier analyses of leaf shapes and DNA sequencing of five nuclear genes were used to support the species delimitations. <em>Gesneria</em> <em>flava</em> is a tall shrub with large yellow flowers, leafy sepals, and rugose leaves. <em>Gesneria</em> × <em>cornuta</em> is a hybrid between <em>Gesneria</em> <em>bicolor</em> and the newly described <em>Gesneria</em> <em>flava</em> and is morphologically intermediate between its parents. Its hybrid origin is further supported by the presence of alleles from both parents for all five nuclear genes sequenced. Finally, <em>Gesneria</em> <em>radiata</em> is a saxicolous herb with radially symmetrical corollas. The three new species described here are limited to a single mountain range in the Caribbean, the Massif de la Hotte. These recent discoveries reflect the high endemicity of this region and exemplify the urgency to conserve the remaining primary forest of Haiti in order to protect its biodiversity.</span></p>
Bell Caves at Beit Guvrin National Park
The man-made Bell Caves in Beit Guvrin, Israel served as quarries that supplied building materials to the cities of the coastal plain and Beit Guvrin during the 7th-10th centuries CE. The media source for this 'proof-of-principle' model was a 360 video camera used in a walking tour. 500, 360-degree equirectangular images were extracted from the video, each image then being run through the Flexify v2 Photoshop plugin, with '12 views' as the output projection. The output of the Flexify plugin is a single large image comprising of 12 rectilinear overlapping views side by side, and spanning the full 360 degrees. The Flexify plugin output was then split into 12 separate images using, for example Photoscape or XnViewMP. These (now 6000) images were used as the actual input source for the model generation. Motion blur within the images, caused by the non stationary video camera being employed in low lighting conditions (causing relatively long camera shutter speeds), has reduced the overall resolution of the model. Source: Objaverse 1.0 / Sketchfab
Virgin Islands National Park Petroglyphs
Island of St. John. Enhancement derived from model: http://www.rupestrian.com/StJohn_1.jpg Source: Objaverse 1.0 / Sketchfab
Grand Canyon National Park 3D Aerial Map
Map of the Grand Canyon National Park in Arizona. Featuring the Kaibab Plateau, Colorado River, and Little Colorado River Gorge. The Grand Canyon is the second-most visited National Park in the United States, at visitation of around 6 million people each year. The South Rim of the park is around 7,000 feet in elevation, while the North Rim is 8,000 to nearly 9,000 feet. From the Grand Canyon you can often see over 100 miles in many directions, with Flagstaff's San Francisco Peaks to the South, and Navajo Mountain in Utah to the Northeast. The Canyon is home to many Native American tribes, and thousands of archaeology sites are found from the rim to the river. Among notable archaeological sites is the Unkar Delta, with of 52 excavated sites from Ancestral Puebloan people (Hisatsinom) who lived there 800–1200 years ago, planting on the delta and growing corn, squash, beans. Enjoy this free map of one of my favorite places in the world, and just in my "backyard". -Nate Loper Source: Objaverse 1.0 / Sketchfab
Waterton Lakes National Park Visitors Center
The Visitors Center in Waterton Lakes National Park was lost in the late summer wildfires of 2018. What remains of the structure was scanned on May 8th, 2017 using a Z+F 5010X terrestrial laser scanner. Source: Objaverse 1.0 / Sketchfab
Bacterial Communities Composition across the French National Territory
<p>Bacterial Communities Composition across the French National Territory : the dataset is composed of 1798 samples and 35 bacterial and archaeal <em>phyla</em> or sub-<em>phyla</em>.</p>
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Switzerland
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2023 split by sampling year (data element ‘sampY’). </p> <p>More details are available in last year's finalised call for data ‘<a href="https://www.efsa.europa.eu/en/call/call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed-2023">Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)</a>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2023 – Federal Food Safety and Veterinary Office</p>
Collaborating with Kharkiv National University of Radio Electronics
<div>Publications co-authored by the Kharkiv National University of Radio Electronics and other Kharkiv Universities</div> <div>Dataset from SciVal </div> <div>Year range 2013 to 2022</div>
Geocoded variant of United Nations Code for Trade and Transport Locations
<div></div> <div> <div> <div> <div>The <a href="https://unece.org/trade/uncefact/unlocode">United Nations Code for Trade and Transport Locations</a> dataset provides information on the codes known as "UN/LOCODE". </div> <div>This version of the dataset, based on the csv files of version 232, has extra information based on pycountry (names of administrative regions, country names, flags) and on most important on location.</div> <div> </div> <div> </div> <div>The dataset has the following extra fields:<br> <table> <tbody> <tr> <td>Column name</td> <td>Example</td> <td>Description</td> <td>Source</td> </tr> <tr> <td> <pre>alpha_2_country</pre> </td> <td> <pre>AD</pre> </td> <td>2 letter based country code, ISO 3166-1</td> <td>pycountry</td> </tr> <tr> <td> <pre>alpha_3_country</pre> </td> <td> <pre>AND</pre> </td> <td>3 letter based country code, ISO 3166-1</td> <td>pycountry</td> </tr> <tr> <td> <pre>flag_country</pre> </td> <td> <pre>🇦🇩</pre> </td> <td>unicode flag</td> <td>pycountry</td> </tr> <tr> <td> <pre>name_country</pre> </td> <td> <pre>Andorra</pre> </td> <td>Country name, ISO 3166-1</td> <td>pycountry</td> </tr> <tr> <td> <pre>numeric_country</pre> </td> <td> <pre>020</pre> </td> <td>Country code</td> <td>pycountry</td> </tr> <tr> <td> <pre>official_name_country</pre> </td> <td> <pre>Principality of Andorra</pre> </td> <td>Country official name</td> <td>pycountry</td> </tr> <tr> <td> <pre>score</pre> </td> <td>95</td> <td>Confidence code of geocoding [0-100/nan]</td> <td>ArcGIS</td> </tr> <tr> <td> <pre>geocoded</pre> </td> <td>True</td> <td>Was the coordinate derived from geocoding [true/false]</td> <td>ArcGIS</td> </tr> <tr> <td> <pre>geometry</pre> </td> <td> <pre>POINT (1.516666666666667 42.5)</pre> </td> <td>Point coordinate</td> <td>ArcGIS if geocoded else original UNLO </td> </tr> </tbody> </table> <br>The figure below shows the locations (n=23663) that have been geocoded in this dataset in green and the existing locations in pink. </div> <div><br></div> <div> </div> <div>Ownership of the original data recides at UNLO and the participants. </div> </div> </div> </div>
Vehicle-to-grid Response on 13 February 2024 in Australian National Electricity Market
<p>This data captures the response of 16 Nissan LEAF electric vehicles to a frequency contingency in the Australian National Electricity Market on the 13th of February 2024, which led to widespread blackouts in Melbourne. The data comes from the bidirectional Wallbox Quasar chargers, as well as six high speed power meters located at the grid connection of each of the properties in which the vehicles were charging.</p>
Fig. 3 in The herpetofauna of Honaz Mountain National Park (Denizli Province, Turkey) and threatening factors
Fig. 3. Distribution of species according to IUCN categories (A) and their chorotypes (B).
Fig. 2 in A new species of Petracola (Squamata: Gymnophthalmidae) from Río Abiseo National Park, San Martín, Peru
Fig. 2. Dorsal, lateral, and ventral views of head of the holotype (MUSM 3829).
Fig. 4 in A new species of Petracola (Squamata: Gymnophthalmidae) from Río Abiseo National Park, San Martín, Peru
Fig. 4. Dorsolateral view of unvouchered living specimen from Los Chochos. Photo by Ken R. Young.
Fig. 6 in A new species of Petracola (Squamata: Gymnophthalmidae) from Río Abiseo National Park, San Martín, Peru
Fig. 6. Type locality of Petracola pajatensis sp. nov. Photo by Ken R. Young.
Fig. 38 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 38. Trimeresurus albolabris. Photograph by Kapil Pokharel/NTNC-BCC.
Fig. 36 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 36. Rhabdophis subminiatus. Photograph by Dip Prasad Chaudhary/NTNC-BCC.
Fig. 37 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 37. Daboia russelii. Photograph by Santosh Bhattarai.
Fig. 35 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 35. Xenochropis piscator. Photograph by Kapil Pokharel/ NTNC-BCC.
ScienceDex guides
Understand access before you commit
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.