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1,298 results for “Archive”
Candidate strongly-lensed Type Ia supernovae in the Zwicky Transient Facility archive
<p>Data sets used for Figures in the article "Candidate strongly-lensed Type Ia supernovae in the Zwicky Transient Facility archive" Townsend et al.</p>
AiiDA archive of the study of electronic properties of HexP-Monolayer on Au(111) using Quantum ESPRESSO framework
Open the record for dataset details and reuse information.
Figures - Semantic analysis of web archive historical data 1983 "Marche pour l'égalité et contre le racisme"
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Histology archive for 3D woolly mammoth study
<p> </p> <table> <tbody> <tr> <td> <p>Image #</p> </td> <td> <p>Block #</p> </td> <td> <p>Staining</p> </td> <td> <p>Notes</p> </td> <td> <p>Microscope</p> </td> </tr> <tr> <td> <p>1. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Remaining epidermis, derma and subcutaneous tissue, striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>2. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Remaining epidermis, derma and subcutaneous tissue, striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>3. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Remaining epidermis, derma and subcutaneous tissue, striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>4. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Remaining epidermis, derma and subcutaneous tissue, striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>5. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Remaining epidermis, derma and subcutaneous tissue, striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>6. </p> </td> <td> <p>7</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Remaining epidermis, derma and subcutaneous tissue, striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>7. </p> </td> <td> <p>7</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Remaining epidermis, derma and subcutaneous tissue, striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>8. </p> </td> <td> <p>7</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Remaining epidermis, derma and subcutaneous tissue, striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>9. </p> </td> <td> <p>10</p> </td> <td> <p>Eosin</p> </td> <td> <p>Derma and subcutaneous tissue (adipose?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>10. </p> </td> <td> <p>10</p> </td> <td> <p>Eosin</p> </td> <td> <p>Epidermis, derma and subcutaneous tissue (adipose?), contaminants</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>11. </p> </td> <td> <p>10</p> </td> <td> <p>Eosin</p> </td> <td> <p>Subcutaneous tissue (adipose?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>12. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>13. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>14. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>15. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>16. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>17. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>18. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>19. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>20. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>21. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>22. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>23. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>24. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>25. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>26. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>27. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Hair follicle with hair attached</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>28. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>29. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>30. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>31. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>32. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>33. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>34. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>35. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>36. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>37. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>38. </p> </td> <td> <p>5</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>39. </p> </td> <td> <p>8</p> </td> <td> <p>DAPI</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>40. </p> </td> <td> <p>n/a</p> </td> <td> <p>DAPI</p> </td> <td> <p>Striated muscle</p> </td> <td> <p>Olympus FV3000</p> </td> </tr> <tr> <td> <p>41. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Other (sebaceous glands?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>42. </p> </td> <td> <p>3</p> <p> </p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Other (sebaceous glands?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>43. </p> </td> <td> <p>10</p> </td> <td> <p>Van Gieson</p> </td> <td> <p>Other (myelinated nerve fibers?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>44. </p> </td> <td> <p>8</p> </td> <td> <p>DAPI</p> </td> <td> <p>Other (vessel?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>45. </p> </td> <td> <p>8</p> </td> <td> <p>DAPI</p> </td> <td> <p>Other (vessel?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>46. </p> </td> <td> <p>8</p> </td> <td> <p>DAPI</p> </td> <td> <p>Other (vessel?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>47. </p> </td> <td> <p>7</p> </td> <td> <p>DAPI</p> </td> <td> <p>Other (vessel?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>48. </p> </td> <td> <p>7</p> </td> <td> <p>DAPI</p> </td> <td> <p>Other (vessel?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>49. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Bacterial contaminants (hair follicle lumen?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>50. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Bacterial contaminants (hair follicle lumen?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>51. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Bacterial contaminants</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>52. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Bacterial contaminants</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>53. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Bacterial contaminants</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>54. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Bacterial contaminants (blood vessel?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>55. </p> </td> <td> <p>7</p> </td> <td> <p>Giemsa</p> </td> <td> <p>Bacterial contaminants in derma</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>56. </p> </td> <td> <p>9</p> </td> <td> <p>DAPI</p> </td> <td> <p>Contaminants in the remnants of muscle fascia</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>57. </p> </td> <td> <p>8</p> </td> <td> <p>Van Gieson + Eosin</p> </td> <td> <p>Septate fungal hyphae, muscle tissue</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>58. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Fungi</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>59. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Fungi</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>60. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Derma and subcutaneous tissue, contaminants</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>61. </p> </td> <td> <p>3</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Unidentified inclusions in derma (parasitic?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>62. </p> </td> <td> <p>7</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Unidentified inclusions in derma (parasitic?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>63. </p> </td> <td> <p>7</p> </td> <td> <p>DAPI</p> </td> <td> <p>Unidentified inclusions in derma, bacterial contaminants</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>64. </p> </td> <td> <p>7</p> </td> <td> <p>Van Gieson</p> </td> <td> <p>Contaminating organisms in derma (parasitic?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>65. </p> </td> <td> <p>10</p> </td> <td> <p>Van Gieson + Giemsa</p> </td> <td> <p>Contaminating organisms in derma, multiple</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>66. </p> </td> <td> <p>10</p> </td> <td> <p>Van Gieson</p> </td> <td> <p>Unidentified inclusions in derma (parasitic?), fungi</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> <tr> <td> <p>67. </p> </td> <td> <p>10</p> </td> <td> <p>Van Gieson</p> </td> <td> <p>Contaminating organisms in derma (parasitic?)</p> </td> <td> <p>Zeiss AXIO Scope.A1 microscope</p> </td> </tr> </tbody> </table>
blase II: PHOENIX Subset Clone Archive
<p>As part of our study, we cloned 1,314 individual PHOENIX spectra (Husser et al. 2013) with blase and optimized their line shapes with ML. These interpretable clones have been saved as state dictionaries in .pt files, which we upload here to be readily accessible to others.</p> <p> </p> <p>You can download and unzip the file in order to access the clone state dictionaries. They can be loaded from disk using torch.load() (Paszke et al. 2019), and input into blase's SparseLinearEmulator (Gully-Santiago & Morley 2022) with its init_state_dict constructor argument.</p>
Data Archival for Economic Cost Modeling of Chinook Habitat Restoration in the Stillaguamish River Basin
<p>We used geospatial data to model economic cost estimates of habitat restoration in the Stillaguamish River Basin in the Puget Sound. We utilized data pertaining to the streams/rivers, floodplain habitat, subbasins, elevation, distance to roads, demographics, and land use within the Stillaguamish River Basin to do so. Analysis included using the different attributes of the Stillaguamish River Basin to create low and high cost estimates for floodplain, engineered log jam, and riparian planting habitat restoration. We specifically looked at the slope and size of streams, area of habitat that needed to be restored, slopes of the riparian area, distance to nearest road, and canopy angles as our model inputs. We followed cost estimate guidance provided by the Puget Sound Shared Strategy to identify our cost ranges and updated them to todays prices using the producer price index. An additional land use analysis was performed to quantify the total area and cost of potential agricultural land in the basin. Lastly, we investigated the demographics of the region to identify areas of POC and low income in relation to proposed restoration actions.</p>
Captures d'écran de deux pages d'accueil de Generiques.org, www.generiques.org, Internet Archive
Open the record for dataset details and reuse information.
Human Bone Ultrastructure in 3D (nano-CT+qPRS): Data Archive
<p>This is a Data Archive with original data for the manuscript "Human Bone Ultrastructure in 3D: Mltimodal Correlative Study Combining Nanoscale X-Ray Computed Tomography and Quantitative Polarized Raman Spectroscopy".</p> <p>A README file containing all descriptions can be found in the main folder. Data is stuctured into 4 categories: Light Microscopy, nano-CT tilt series, nano-CT reconstruction and Raman (qPRS) Data. Each category is uploaded as a .zip archive and contains files related to respective technique (in their turn groupped into .zip archives by the name of a showcased sample).<br><br></p>
Data Archives - LAFORET et al - Silicate-sulfide interaction within quenched melts of space weathered Ryugu grains
<p>Contains STEM-EDXS raw data used in the paper Laforet et al. submitted in Meteoritics and Planetary Science</p> <p> </p>
Synthetic data RELION project archive for ccpem-pipeliner cryodrgn jobs slow tests
<p>Synthetic data reconstructed via RELION4.0 used for testing CryoDRGN jobs in ccpem-pipeliner (https://gitlab.com/ccpem/ccpem-pipeliner). Micrographs simulated via Roodmus (<span>https://doi.org/10.1101/2024.04.29.590932</span>) using molcular conformations originating from DE Shaw simulation DESRES-ANTON-11021571 (D. E. Shaw Research, "Molecular Dynamics Simulations Related to SARS-CoV-2," D. E. Shaw Research Technical Data, 2020. https://www.deshawresearch.com/downloads/download_trajectory_sarscov2.cgi/)</p>
Raw Data Archive for "A New Cross-Calibration Algorithm for Multi-Mode Secondary Electron Multiplier Detectors"
<p>Raw Thermo Element XR data files for use with the Enhanced Linear Dynamic Range (ELDR) Model. The model inverts raw pulse and analog data from the Element 2/XR inductively coupled plasma mass spectrometer to estimate detector cross-calibration, linear-in-time cross-calibration drift, and detector non-linearity. This data archive contains the raw data comprising 1572 individual laser ablation analyses. Each analysis consists of two files: (1) raw data archive (.dat); and (2) setup information file <em>(</em>.inf). The analytical session is divided into three sequences: SEQ1, SEQ2, SEQ3.</p> <p> </p>
twitter archive
<p>Twitter archive for data selfie workshop</p>
DataCrate: a method of packaging, distributing, displaying and archiving Research Objects
<p>In characterizing the term <i>Research Object</i> the call for proposals for Research Object 2018 uses the phrase "multi-part research outcomes with their context". The <a href="https://github.com/UTS-eResearch/DataCrate/">DataCrate specification</a><a href="https://data.research.uts.edu.au/examples/v1.0/datacrate-RO-2018/data/paper.html#fn1">1</a> is a research data packaging and dissemination specification designed to capture exactly that; outcomes (also inputs) and context.</p><p>DataCrate specifies how to gather together data in such a way that it can (a) be packaged via zip, tar, a disc image, a multi-part package or (b) be hosted on a web server or file share for inspection by potential users and/or used directly on High Performance Computing systems or otherwise accessed and analyzed.</p><p>DataCrates can contain any kind of data, and the contextual information may include, but is not limited to, data about the people, software and equipment used in the research as well as supporting documents such as publications, funding agreements or README files.</p><p> </p>
Kclause-Smarch Data Archive
<p>This is data archive for the paper "Uniform Random Sampling of Kconfig System Configurations", submitted to ESEC/FSE 2019</p>
Testing Zenodo Data Archive
<p>Test</p>
FluView 2018 HHS Region 1 Outpatient Illness and Viral Surveillance Data - Epidemiological Week 40 (archived by MIDAS-ISG)
<p><strong>Other(s)</strong></p> <p>MIDAS Informatics Service Group</p> <p><strong>Rights holder(s)</strong></p> <p>Centers for Disease Control and Prevention</p> <p>Description from the FluView Interactive web application (from which this file was downloaded):</p> <p>Viral Surveillance — Data collection from both the U.S. World Health Organization (WHO) Collaborating Laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories began during the 1997-98 season. The volume of tested specimens has greatly increased during this time due to increased participation and increased testing. During the 1997-98 season 43 state public health laboratories participated in surveillance, and by the 2004-05 season all state public health laboratories were participating in surveillance. The addition of NREVSS data during the 1997-98 season roughly doubled the amount of virologic data reported each week. </p> <p>The number of specimens tested and % positive rate vary by region and season based on different testing practices including triaging of specimens by the reporting labs, therefore it is not appropriate to compare the magnitude of positivity rates or the number of positive specimens between regions or seasons. </p> <p>The U.S. WHO and NREVSS collaborating laboratories report the total number of respiratory specimens tested and the number positive for influenza types A and B each week to CDC. Most of the U.S. WHO collaborating laboratories also report the influenza A subtype (H1 or H3) of the viruses they have isolated, but the majority of NREVSS laboratories do not report the influenza A subtype. </p> <p>For more information on virologic surveillance please visit:http://www.cdc.gov/flu/weekly/overview.htm#Viral</p> <p>Outpatient Illness Surveillance — Information on patient visits to health care providers for influenza-like illness is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). This collaborative effort between CDC, state and local health departments, and health care providers started during the 1997-98 influenza season when approximately 250 providers were enrolled. Enrollment in the system has increased over time and there were >3,000 providers enrolled during the 2010-11 season.</p> <p>The number and percent of patients presenting with ILI each week will vary by region and season due to many factors, including having different provider type mixes (children present with higher rates of ILI than adults, and therefore regions with a higher percentage of pediatric practices will have higher numbers of cases). Therefore it is not appropriate to compare the magnitude of the percent of visits due to ILI between regions and seasons.</p> <p>Baseline levels are calculated both nationally and for each region. Percentages at or above the baseline level are considered to be elevated.</p> <p>For more information on ILI surveillance and baselines please visit:http://www.cdc.gov/flu/weekly/overview.htm#Outpatient</p>
FluView 2018 National Outpatient Illness and Viral Surveillance Data - Epidemiological Week 40 (archived by MIDAS-ISG)
<p><strong>Other(s)</strong></p> <p>MIDAS Informatics Service Group</p> <p><strong>Rights holder(s)</strong></p> <p>Centers for Disease Control and Prevention</p> <p>Description from the FluView Interactive web application (from which this file was downloaded):</p> <p>Viral Surveillance — Data collection from both the U.S. World Health Organization (WHO) Collaborating Laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories began during the 1997-98 season. The volume of tested specimens has greatly increased during this time due to increased participation and increased testing. During the 1997-98 season 43 state public health laboratories participated in surveillance, and by the 2004-05 season all state public health laboratories were participating in surveillance. The addition of NREVSS data during the 1997-98 season roughly doubled the amount of virologic data reported each week. </p> <p>The number of specimens tested and % positive rate vary by region and season based on different testing practices including triaging of specimens by the reporting labs, therefore it is not appropriate to compare the magnitude of positivity rates or the number of positive specimens between regions or seasons. </p> <p>The U.S. WHO and NREVSS collaborating laboratories report the total number of respiratory specimens tested and the number positive for influenza types A and B each week to CDC. Most of the U.S. WHO collaborating laboratories also report the influenza A subtype (H1 or H3) of the viruses they have isolated, but the majority of NREVSS laboratories do not report the influenza A subtype. </p> <p>For more information on virologic surveillance please visit:http://www.cdc.gov/flu/weekly/overview.htm#Viral</p> <p>Outpatient Illness Surveillance — Information on patient visits to health care providers for influenza-like illness is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). This collaborative effort between CDC, state and local health departments, and health care providers started during the 1997-98 influenza season when approximately 250 providers were enrolled. Enrollment in the system has increased over time and there were >3,000 providers enrolled during the 2010-11 season.</p> <p>The number and percent of patients presenting with ILI each week will vary by region and season due to many factors, including having different provider type mixes (children present with higher rates of ILI than adults, and therefore regions with a higher percentage of pediatric practices will have higher numbers of cases). Therefore it is not appropriate to compare the magnitude of the percent of visits due to ILI between regions and seasons.</p> <p>Baseline levels are calculated both nationally and for each region. Percentages at or above the baseline level are considered to be elevated.</p> <p>For more information on ILI surveillance and baselines please visit:http://www.cdc.gov/flu/weekly/overview.htm#Outpatient</p>
Workflow Trace Archive askalon-new_ee52 trace
Wien2k uses a full-potential Linearized Augmented Plane Wave (LAPW) approach for the computation of crystalline solids.
Workflow Trace Archive askalon-new_ee32 trace
BWA (short for Burroughs-Wheeler Alignment tool) is a genomics analysis workflow, courtesy of Scott Emrich and Notre Dame Bioinformatics Laboratory. It maps low-divergent sequences against a large reference genome, such as the human genome.
Workflow Trace Archive askalon-new_ee60 trace
BWA (short for Burroughs-Wheeler Alignment tool) is a genomics analysis workflow, courtesy of Scott Emrich and Notre Dame Bioinformatics Laboratory. It maps low-divergent sequences against a large reference genome, such as the human genome.
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
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DANDI Archive for NWB datasets
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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.