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433
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Dataset results
433 results for “readiness”
urbisphere-Berlin Analysis Ready Geospatial dataset
<p>Analysis-Ready (ARD) Geospatial dataset (v3) for the administrative boundaries of Berlin produced by FORTH in the framework of urbisphere. The dataset includes a) Digital Surface Model (DSM) b) Digital Terrain Model (DTM) c) Building Heights d) Vegetation Heights e) Land Cover (SUEWS format i.e. 1=Paved/Impervious, 2=Buildings, 3=Evergreen Trees and Shrubs, 4=Deciduous Trees and Shrubs , 5=Grass, 6=Bare Soil, 7=Water) in raster format (.tif).</p> <p>Resolution: 1m<br>CRS: EPSG:25833<br>noData: -999 / -9999<br>compression: LZW</p> <p>Reference year: 2021</p> <p>LC reported overall accuracy 89% (v2)</p>
Genomic data from: Are you ready for the heat? Phenotypic plasticity vs adaptation of heat tolerance in three-spined stickleback
<p>Heat waves constitute a challenge for aquatic ectotherms. However, the thermal tolerance of animals and their individual phenotypic plasticity to respond to heat waves may be influenced by thermal history. We tested these hypotheses by comparing the upper thermal tolerance and the individual capacities of three-spined sticklebacks from populations with different thermal histories to respond to heat waves. Two populations originated from thermally polluted nuclear power plant (NPP) habitats, while four locations represented geographically adjacent control areas. To disentangle the genetic adaptation from the phenotypic plastic response, we measured the individual upper thermal tolerance and the responses at molecular level in common garden conditions before and after a laboratory-mimicked heat wave. We found that the sticklebacks exhibit considerable phenotypic plasticity in thermal tolerance since the heat wave increased fish upper thermal tolerance significantly. The individual plasticity to respond to the heat wave was also negatively correlated to initial thermal tolerance. On the other hand, neither the thermal tolerance nor the plastic responses differed between NPP and control sites despite detection of significant but low genome-wide divergence in 10 out of 15 pairwise comparisons. Our results suggest that five decades of nuclear power plant activity with warmer water has not resulted in a detectable evolutionary change in either the upper thermal tolerance or its plasticity in three-spined sticklebacks potentially rendering them sensitive to frequent heat waves.</p>
Complete Genome Sequence of an Aeromonas rivuli Strain Isolated from Ready-to-Eat Food - Data Files
<p>This dataset contains input and intermediate files of the bcgTree analysis described in the Schwartz <em>et al</em>. MRA manuscript entitled “Complete Genome Sequence of an <em>Aeromonas rivuli</em> Strain Isolated from Ready-to-Eat Food”.</p> <table> <tbody> <tr> <td> <p><strong>File name</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>‘<em>Aeromonadaceae</em> identifier’.fa</p> </td> <td> <p>Amino acid FASTA file of the translated CDS sequences of a strain X (bcgTree input file)</p> </td> </tr> <tr> <td> <p>full_alignment.concat.fa</p> </td> <td> <p>Alignment of the concatenated amino acid sequences of 107 single-copy core genes that is used for phylogenetic tree calculation in bcgTree (bcgTree intermediate file)</p> </td> </tr> </tbody> </table> <p> </p> <p>In the bcgTree files, the <em>Aeromonadaceae</em> sequences were named/abbreviated as follows:</p> <table> <tbody> <tr> <td> <p><strong>Sequence name in the bcgTree file</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>AAZUK01-1</p> </td> <td> <p><em>Tolumonas lignilytica </em>BRL6-1</p> </td> </tr> <tr> <td> <p>Aeromonas-caviae</p> </td> <td> <p><em>Aeromonas caviae </em>NCTC 12244</p> </td> </tr> <tr> <td> <p>Aeromonas-dhakensis</p> </td> <td> <p><em>Aeromonas dhakensis </em>CIP 107500</p> </td> </tr> <tr> <td> <p>Aeromonas-hydrophila</p> </td> <td> <p><em>Aeromonas hydrophila </em>ATCC 7966</p> </td> </tr> <tr> <td> <p>Aeromonas-rivuli</p> </td> <td> <p><em>Aeromonas rivuli </em>DSM 22539</p> </td> </tr> <tr> <td> <p>Aeromonas-rivuli-20-VB00005</p> </td> <td> <p><em>Aeromonas rivuli </em>20-VB00005</p> </td> </tr> <tr> <td> <p>Aeromonas-veronii</p> </td> <td> <p><em>Aeromonas veronii </em>CECT 4257</p> </td> </tr> <tr> <td> <p>CP001616-1</p> </td> <td> <p><em>Tolumonas auensis </em>DSM 9187</p> </td> </tr> <tr> <td> <p>JACHGR01-1</p> </td> <td> <p><em>Tolumonas osonensis </em>DSM 22975</p> </td> </tr> </tbody> </table>
Barrel Game Ready PBR (LOW)
Model by me, Textures by me. Hope you guys like it. Source: Objaverse 1.0 / Sketchfab
Computation-Ready, Experimental Metal–Organic Frameworks
<p>Experimentally refined crystal structures for metal–organic frameworks (MOFs) often include solvent molecules and partially occupied or disordered atoms. This creates a major impediment to applying high-throughput computational screening to MOFs. To address this problem, we have constructed a database of MOF structures that are derived from experimental data but are immediately suitable for molecular simulations. </p> <p>The development of the CoRE MOF 2014 database is described in “Computation-ready, experimental metal-organic frameworks: A tool to enable high-throughput screening of nanoporous crystals” Chung, Y.G. et al., Chem. Mater. 2014, 26, 6185-6192 (DOI: <a href="https://doi.org/10.1021/cm502594j">10.1021/cm502594j</a>). The CoRE MOF 2014 database was developed through a collaboration of research groups participating in the Nanoporous Materials Genome Center that is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences under Award DE-FG02-12ER16362.</p>
Model 6 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Model 6. Strumigenys parzival (CASENT0186960, holotype) presented as a computer-generated 3D mesh model optimized for augmented reality. Volumetric surfaces rendered from micro-ct data and texture mapped from standard specimen photographs. An interactive version of this model is available in the HTML version of this article online and at https://sketchfab. com/3d-models/2d608f095a1d4daea3ba34e0cae83255
Model 4 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Model 4. Strumigenys gunter (CASENT0184984, holotype) presented as a computer-generated 3D mesh model optimized for augmented reality. Volumetric surfaces rendered from micro-ct data and texture mapped from standard specimen photographs. An interactive version of this model is available in the HTML version of this article online and at https://sketchfab. com/3d-models/2e5ace8bb36843b19a41b0c9f7f2b842
Model 1 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Model 1. Strumigenys anorak (CASENT0186900, holotype) presented as a computer generated 3D mesh model optimized for augmented reality. Volumetric surfaces rendered from micro-ct data and texture mapped from standard specimen photographs. An interactive version of this model is available in the HTML version of this article online and at https://sketchfab. com/3d-models/9bdd4f1426a44a27996289172a2bbe33
Fig. 25 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 25. Shaded surface display volume renderings of Strumigenys tumida (CASENT0185699). (A) Full-face view, (B) mandibles in full face view, (C) mandibular apical fork, (D) head in posterodorsal view, (E) head in profile view, (F) profile view, (G) dorsal view, (H) gaster in dorsal view.
Model 3 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Model 3. Strumigenys avatar (CASENT0185902, holotype) presented as a computer-generated 3D mesh model optimized for augmented reality. Volumetric surfaces rendered from micro-ct data and texture mapped from standard specimen photographs. An interactive version of this model is available in the HTML version of this article online and at https://sketchfab.com/3d-models/b258462cc47c44d48e5b9edf8b 50e632
Fig. 23 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 23. Shaded surface display volume renderings of Strumigenys praefecta (CASENT0186943).(A) Full-face view, (B) mandibles in full face view, (C) mandibular apical fork, (D) head in posterodorsal view, (E) head in profile view, (F) profile view, (G) dorsal view, (H) gaster in dorsal view.
Fig. 22 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 22. [AR marker] Shaded surface display volume renderings of Strumigenys parzival n. sp. (CASENT0186960). (A) Full-face view, (B) mandibles in full face view, (C) mandibular apical fork, (D) head in posterodorsal view, (E) head in profile view, (F) profile view, (G) dorsal view, (H) gaster in dorsal view. Scan in AR mode using Insects3D app to project 3D model.
Fig. 24 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 24. Shaded surface display volume renderings of Strumigenys sulcata (CASENT0185705). (A) Full-face view, (B) mandibles in full face view, (C) mandibular apical fork, (D) head in posterodorsal view, (E) head in profile view, (F) profile view, (G) dorsal view, (H) gaster in dorsal view.
Fig. 21 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 21. [AR marker] Shaded surface display volume renderings of Strumigenys oasis n. sp. (CASENT0185751). (A) Full-face view, (B) mandibles in full face view, (C) mandibular apical fork, (D) head in posterodorsal view, (E) head in profile view, (F) profile view, (G) dorsal view, (H) gaster in dorsal view. Scan in AR mode using Insects3D app to project 3D model.
Fig. 20 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 20. Shaded surface display volume renderings of Strumigenys nidifex (CASENT0185548). (A) Full-face view, (B) mandibles in full face view, (C) mandibular apical fork, (D) head in posterodorsal view, (E) head in profile view, (F) profile view, (G) dorsal view, (H) gaster in dorsal view.
Fig. 19 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 19. Shaded surface display volume renderings of Strumigenys mailei (CASENT0184653). (A) Full-face view, (B) mandibles in full face view, (C) mandibular apical fork, (D) head in posterodorsal view, (E) head in profile view, (F) profile view, (G) dorsal view, (H) gaster in dorsal view.
Fig. 18 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 18. [AR marker] Shaded surface display volume renderings of Strumigenys gunter n. sp. (CASENT0184984). (A) Full-face view, (B) mandibles in full face view, (C) mandibular apical fork, (D) head in posterodorsal view, (E) head in profile view, (F) profile view, (G) dorsal view, (H) gaster in dorsal view. Scan in AR mode using Insects3D app to project 3D model.
Fig. 28 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 28. Distribution maps of Strumigenys species on the Fiji Islands. The following species are presented: S. parzival, S. praefecta, S. rogeri, S. scelesta, S. sulcata, S. trauma, S. tumida.
Fig. 27 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 27. Distribution maps of Strumigenys species on the Fiji Islands. The following species are presented: S. godeffroyi, S. gunter, S. jepsoni, S. mailei, S. membranifera, S. nidifex, S. oasis, S. panaulax.
Fig. 17 in Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)
Fig. 17. Shaded surface display volume renderings of Strumigenys frivola (CASENT0186834). (A) Full-face view, (B) mandibles in full face view, (C) mandibular apical fork, (D) head in posterodorsal view, (E) head in profile view, (F) profile view, (G) dorsal view, (H) gaster in dorsal 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.