Software Open Access

asarnow/pyem: UCSF pyem v0.5

Daniel Asarnow; Eugene Palovcak; Yifan Cheng


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/c4249e1e-fcce-44dc-947b-69d92016c942/asarnow/pyem-v0.5.zip"
      }, 
      "checksum": "md5:e3635cf4224154f487c1b49da7455e9c", 
      "bucket": "c4249e1e-fcce-44dc-947b-69d92016c942", 
      "key": "asarnow/pyem-v0.5.zip", 
      "type": "zip", 
      "size": 101161
    }
  ], 
  "owners": [
    85808
  ], 
  "doi": "10.5281/zenodo.3576630", 
  "stats": {
    "version_unique_downloads": 184.0, 
    "unique_views": 4018.0, 
    "views": 4636.0, 
    "version_views": 4634.0, 
    "unique_downloads": 185.0, 
    "version_unique_views": 4016.0, 
    "volume": 21041488.0, 
    "version_downloads": 207.0, 
    "downloads": 208.0, 
    "version_volume": 20940327.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.3576630", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.3576629", 
    "bucket": "https://zenodo.org/api/files/c4249e1e-fcce-44dc-947b-69d92016c942", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.3576629.svg", 
    "html": "https://zenodo.org/record/3576630", 
    "latest_html": "https://zenodo.org/record/3576630", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.3576630.svg", 
    "latest": "https://zenodo.org/api/records/3576630"
  }, 
  "conceptdoi": "10.5281/zenodo.3576629", 
  "created": "2019-12-16T00:15:32.804197+00:00", 
  "updated": "2020-01-25T19:21:51.866548+00:00", 
  "conceptrecid": "3576629", 
  "revision": 4, 
  "id": 3576630, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.3576630", 
    "description": "<p>UCSF pyem is a suite of Python programs&nbsp;for data analysis in electron microscopy of biological samples. Key features include symmetry expansion, multi-body refinement, partial signal subtraction, metadata queries, and&nbsp;interoperability with other cryo-EM image processing suites.</p>", 
    "language": "eng", 
    "title": "asarnow/pyem: UCSF pyem v0.5", 
    "license": {
      "id": "GPL-3.0"
    }, 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "3576629"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "3576630"
          }
        }
      ]
    }, 
    "grants": [
      {
        "code": "5R01GM098672-07", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/100000002::5R01GM098672-07"
        }, 
        "title": "Structures and gating mechanisms of TRP ion channels", 
        "acronym": "", 
        "program": "NATIONAL_INSTITUTE_OF_GENERAL_MEDICAL_SCIENCES", 
        "funder": {
          "doi": "10.13039/100000002", 
          "acronyms": [], 
          "name": "National Institutes of Health", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/100000002"
          }
        }
      }
    ], 
    "version": "v0.5", 
    "publication_date": "2019-12-16", 
    "creators": [
      {
        "orcid": "0000-0001-7870-5308", 
        "affiliation": "University of California, San Francisco", 
        "name": "Daniel Asarnow"
      }, 
      {
        "affiliation": "University of California, San Francisco", 
        "name": "Eugene Palovcak"
      }, 
      {
        "orcid": "0000-0001-9535-0369", 
        "affiliation": "University of California, San Francisco", 
        "name": "Yifan Cheng"
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "type": "software", 
      "title": "Software"
    }, 
    "related_identifiers": [
      {
        "scheme": "url", 
        "identifier": "https://github.com/asarnow/pyem/tree/v0.5", 
        "relation": "isSupplementTo"
      }, 
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.3576629", 
        "relation": "isVersionOf"
      }
    ]
  }
}
4,634
207
views
downloads
All versions This version
Views 4,6344,636
Downloads 207208
Data volume 20.9 MB21.0 MB
Unique views 4,0164,018
Unique downloads 184185

Share

Cite as