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945 results for “photographs”
When waterholes get busy, rare interactions thrive: Photographic evidence of a jaguar (Panthera onca) killing an ocelot (Leopardus pardalis)
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Mountain goat molt from community photographs
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Camera trap grey squirrel photograph data
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OpenApePose: a database of annotated ape photographs for pose estimation
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Mesopelagic fish reference specimen photographic library
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Data from: Continent‐scale phenotype mapping using citizen scientists’ photographs
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South Florida cavity nest webs: nest inspection data, photographs, and videos
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Camera trap photographs of mountain hare Lepus timidus per month Scotland (S1A)
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Supplementary photographs from: The Canadian fossil record supports anagenesis in Triceratops (Ornithischia, Ceratopsia)
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Vermivora photographs in plumage genomic study
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Photographs of selected 'Skopje 2014' projects taken in April 2017, Skopje, North Macedonia
<p>Photographs of selected 'Skopje 2014' projects taken in April 2017, Skopje, North Macedonia.</p> <p>Author attribution necessary.</p> <p>This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.</p>
Supporting codes, data, and outputs to identify a type of lithofacies from rock-core digital photographs and to classify the lithofacies from well-log data
<p>This repository contains the codes and the data used in the study “Interpreting the Subsurface Lithofacies at High Lithological Resolution by Integrating Information from Well-log Data and Rock-core Digital Photographs”. The codes are used to identify the lithofacies type from rock-core digital photographs (clustering) and to predict the lithofacies from geophysical well-log data (classification). The lithofacies identification process, including feature extraction and clustering, was encoded by MATLAB, and the classification model was encoded by TensorFlow to construct a neural network-based classification model. </p>
FIGURES 1–2. Habitus photograph and collection locality. 1 in A new species of Philetus Melander (Diptera: Empididae) from the Yukon Territory, Canada
FIGURES 1–2. Habitus photograph and collection locality. 1. Philetus kitsi sp. nov. habitus photograph, male holotype. 2. Shrub tundra locality in the Richardson Mountains, Yukon Territory, Canada, where the holotype was collected using a Malaise trap (photograph: J.H. Kits).
Project Panormos Archaeological Survey: Photograph Archive (survey-photo-archive)
<p>This forms part of the preliminary open data release for the Project Panormos archaeological survey.</p> <p>The panormos/survey-photo-archive repository contains the source archive of digital images (primarily photographs) created during the course of the fieldwork for Project Panormos excavations and survey. This includes field photographs taken along with tract and POI data, unprocessed photographs of finds, and occasionally edited, colour- or balance-corrected photographs in an appropriate quality for (re-)publication. Some included photographs are of the general region and although produced by team members are not a direct result of the survey work.</p> <p>There are some restrictions on the distribution of images from the original source archive; these images will not be available in the distribution of "Core" released photographs found here, but may be made available on request. Basic metadata from these images may be available in the associated metadata files nonetheless.</p> <p><strong>Release 0.2.0</strong> includes data from the 2015, 2017 and 2019 seasons. It is a pre-publication or observation version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details.</p> <p><strong>Release 0.1.0</strong> includes data from the 2015 season. It is a pre-publication or observation version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details.</p> <p><strong>Releases below 1.0.0 represent preprint working datasets before final publication. </strong>Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.</p>
Figure 48 in Photographic catalogue of the oldest primary types of Japanese Ichneumonoidea (Hymenoptera), those described by Frederick Smith and Francis Walker in 1874
Figure 48. Holotype female of Sagaritis ventralis Walker, 1874 (= Hyposoter ventralis (Walker, 1874)): (a) labels (b) lateral habitus (c) mesoscutum and scutellum, dorsal view (d) propodeum, dorsal view (e) head, lateral view (f) head, frontal view (g) head, dorsal view (h) mesosoma, lateral view.
Figure 47 in Photographic catalogue of the oldest primary types of Japanese Ichneumonoidea (Hymenoptera), those described by Frederick Smith and Francis Walker in 1874
Figure 47. Holotype male of Proterops basalis Walker, 1874 (= Snellenius basalis (1874)): (a) labels (b) lateral habitus (c) head, frontal view (d) head, dorsal view (e) head, lateral view (f) mesoscutum and scutellum, dorsal view (g) propodeum and metasoma, dorsolateral view.
Figure 49 in Photographic catalogue of the oldest primary types of Japanese Ichneumonoidea (Hymenoptera), those described by Frederick Smith and Francis Walker in 1874
Figure 49. Holotype female of Spathius fasciatus Walker, 1874: (a) labels (b) lateral habitus (c) head, frontal view (d) head, dorsal view (e) head, lateral view (f) mesoscutum and scutellum, dorsal view (g) propodeum, dorsolateral view (h) mesosoma, lateral view (i) metasoma, dorsal view.
Figure 41 in Photographic catalogue of the oldest primary types of Japanese Ichneumonoidea (Hymenoptera), those described by Frederick Smith and Francis Walker in 1874
Figure 41. Lectotype female of Ichneumon insolitus Walker, 1874 (= Cratichneumon insolitus (Walker, 1874)): (a) labels (b) lateral habitus (c) head, anterolateral view (d) head, dorsolateral view (e) head, lateral view (f) mesoscutum and scutellum, dorsal view (g) propodeum, dorsal view (h) mesosoma, lateral view (i) metasoma, dorsal view.
Figure 38 in Photographic catalogue of the oldest primary types of Japanese Ichneumonoidea (Hymenoptera), those described by Frederick Smith and Francis Walker in 1874
Figure 38. Lectotype female of Hecabolus cinctus Walker, 1874 (= Bracon cinctus (Walker, 1874)): (a) labels (b) lateral habitus (c) head, frontal view (d) head, dorsal view (e) head, lateral view (f) mesoscutum and scutellum, dorsal view (g) mesosoma, lateral view (h) metasoma, dorsal view.
Figure 37 in Photographic catalogue of the oldest primary types of Japanese Ichneumonoidea (Hymenoptera), those described by Frederick Smith and Francis Walker in 1874
Figure 37. Holotype female of Glypta albicoxa Walker, 1874 (= Zatypota albicoxa (Walker, 1874)): (a) labels (b) lateral habitus (c) metasoma, dorsal view (d) head, frontal view (e) head, dorsal view (f) head, lateral view (g) mesoscutum, dorsal view (h) propodeum, dorsal view (i) mesosoma, lateral view.
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.