Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Bitstream Edit/Update Description #6

Merged
merged 1 commit into from
Apr 17, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
114 changes: 56 additions & 58 deletions metadata-aardvark/Datasets/nyu-2451-60075.json
Original file line number Diff line number Diff line change
@@ -1,60 +1,58 @@
{
"dct_creator_sm": [
"Debra F. Laefer",
"Tom Kirchner",
"Haoran (Frank) Jiang"
],
"dct_description_sm": [
"This shapefile layer represents a unique dataset of 5,065 records documenting the perishable behavior of 6,075 individuals around 19 hospitals and urgent care clinics across 4 of New York’s 5 boroughs at the height of the city’s COVID-19 outbreak in the Spring of 2020 (March 22-May 19). The records were collected opportunistically by 16 student observers over 1,500 hours across all hours of the day and days of the week. The records document the date, time, location, and gender, as well as objects touched, route taken, and destination selected (including various transportation options and specific types of retail establishments). Forty-nine percent of them also noted the usage or absence of personal protective equipment (PPE) usage. Subjects were observed from a distance for periods of up to 20 minutes or for a distance of 1.3 km or until they were no longer visible from a street location. Observations were scraped from kml/kmz records generated in-situ on personal smartphones and assembled in a csv file. Each record was joined with locational information about the facility, 7 hourly weather attributes obtained from the closest weather station, and 61 attributes related to the demographics of the zip code in which the facility is located. The cleaned data are available in a csv file with a codebook and the individual kml/kmz files. This layer is a 20 percent sample of the study cases, in which the individual kmz files are joined as a single shapefile to demonstrate the high usability of the data. Initial observations include that 75 percent of individuals touched something, 11 percent touched their phone, 55 percent left the area by a form of mechanized transportation, 13 percent returned to the medical facility, and 81 percent were wearing PPE. This project was funded by a National Science Foundation grant, RAPID: DETER: Developing Epidemiology mechanisms in Three-dimensions to Enhance Response, Award 2027293, 05/20-4/21. The project is also funded by the Data Science and Software Services (DS3) program and by the Moore and Sloane foundations through the NYU Moore Sloane Data Science Environment. The data can be cited as https://doi.org/10.17609/smpm-3c34/"
],
"dct_format_s": "Shapefile",
"dct_identifier_sm": [
"http://hdl.handle.net/2451/60075"
],
"dct_language_sm": [
"English"
],
"dct_publisher_sm": [
"New York University. Center for Urban Science and Progress"
],
"dct_accessRights_s": "Public",
"dct_subject_sm": [
"Health",
"Health Facility",
"Health and hygiene",
"Geoscientific Information"
],
"dct_title_s": "Egress Behavior from Select NYC COVID-19 Exposed Health Facilities March-May 2020",
"gbl_resourceClass_sm": [
"Datasets"
],
"dct_isPartOf_sm": [
"NYU Research Data"
],
"dct_issued_s": "9/15/2020",
"schema_provider_s": "NYU",
"dct_references_s": "{\"http://schema.org/url\":\"http://hdl.handle.net/2451/60075\",\"http://schema.org/downloadUrl\":\"https://archive.nyu.edu/bitstream/2451/60075/4/nyu_2451_60075.zip\",\"http://www.opengis.net/def/serviceType/ogc/wfs\":\"https://maps-public.geo.nyu.edu/geoserver/sdr/wfs\",\"http://www.opengis.net/def/serviceType/ogc/wms\":\"https://maps-public.geo.nyu.edu/geoserver/sdr/wms\",\"http://lccn.loc.gov/sh85035852\":\"https://archive.nyu.edu/bitstream/2451/60075/2/nyu_2451_60075_doc.zip\"}",
"dct_spatial_sm": [
"New York, New York, United States"
],
"dct_temporal_sm": [
"2020"
],
"gbl_mdVersion_s": "Aardvark",
"gbl_resourceType_sm": [
"Polygon data"
],
"gbl_wxsIdentifier_s": "sdr:2451_60075",
"gbl_mdModified_dt": "2020-09-17T15:21:27Z",
"id": "nyu-2451-60075",
"nyu_addl_dspace_s": "61041",
"nyu_addl_id_s": "10.17609/smpm-3c34",
"nyu_addl_license_s": "Attribution 4.0 International (CC BY 4.0)",
"nyu_addl_format_sm": [
"Shapefile"
],
"locn_geometry": "ENVELOPE(-74.255895, -73.700272, 40.9152819999998, 40.4959289999998)",
"gbl_indexYear_im": [
2020
]
"id": "nyu-2451-60075",
"dct_accessRights_s": "Public",
"dct_creator_sm": [
"Debra F. Laefer",
"Tom Kirchner",
"Haoran (Frank) Jiang"
],
"dct_description_sm": "[\"This rapid response surveillance project was funded by the National Science Foundation (NSF) to collect \"perishable\" data on egress behaviors and neighborhood conditions surrounding healthcare centers (HCCs) in New York City (NYC) during the initial NYC COVID-19 PAUSE ordinance from March 22nd to May 19th, 2020. Anonymized data on NYC HCC egress behaviors were collected by observational field workers using a phone-based mapping application. Each egress trip record includes the day of week, time of day, destination category type, along with an array of behavioral outcome categories, ambient weather conditions and socio-economic factors. Egress trajectories with precise estimates of distance traveled and the spatial dispersion or \"spread\" around each HCC were added via post-processing. The data collection and cleaning process resulted in 5,030 individual egress records from 18 facilities.\"]",
"dct_format_s": "Shapefile",
"dct_identifier_sm": [
"http://hdl.handle.net/2451/60075"
],
"dct_isPartOf_sm": [
"NYU Research Data"
],
"dct_issued_s": "9/15/2020",
"dct_language_sm": [
"English"
],
"dct_publisher_sm": [
"New York University. Center for Urban Science and Progress"
],
"dct_references_s": "{\"http://schema.org/url\":\"http://hdl.handle.net/2451/60075\",\"http://schema.org/downloadUrl\":\"https://ultraviolet.library.nyu.edu/records/tn478-2kc30/files/2020_NYU_egress_covid19_GIS_v3.zip\",\"http://www.opengis.net/def/serviceType/ogc/wfs\":\"https://maps-public.geo.nyu.edu/geoserver/sdr/wfs\",\"http://www.opengis.net/def/serviceType/ogc/wms\":\"https://maps-public.geo.nyu.edu/geoserver/sdr/wms\",\"http://lccn.loc.gov/sh85035852\":\"https://ultraviolet.library.nyu.edu/records/tn478-2kc30/files/2020_NYU_egress_covid19_readme_v3.txt\"}",
"dct_spatial_sm": [
"New York, New York, United States"
],
"dct_subject_sm": [
"Health",
"Health Facility",
"Health and hygiene",
"Geoscientific Information"
],
"dct_temporal_sm": [
"2020"
],
"dct_title_s": "Egress Behavior from Select NYC COVID-19 Exposed Health Facilities March-May 2020",
"gbl_indexYear_im": [
2020
],
"gbl_mdModified_dt": "2020-09-17T15:21:27Z",
"gbl_mdVersion_s": "Aardvark",
"gbl_resourceClass_sm": [
"Datasets"
],
"gbl_resourceType_sm": [
"Polygon data"
],
"gbl_wxsIdentifier_s": "sdr:nyu_2451_60075",
"locn_geometry": "ENVELOPE(-74.255895, -73.700272, 40.9152819999998, 40.4959289999998)",
"nyu_addl_dspace_s": "61041",
"nyu_addl_format_sm": [
"Shapefile"
],
"nyu_addl_id_s": "10.17609/smpm-3c34",
"nyu_addl_license_s": "Attribution 4.0 International (CC BY 4.0)",
"schema_provider_s": "NYU"
}
Loading