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24 results for “URI”
Identification at local and global scale: a case for using the Compact URI (CURIE) for life science data
<p>Panel A) A Local Resource Identifier (LRI) is not suited to global scale identification because of inevitable collisions: “9606” corresponds to a Pubmed article, a CGNC gene, a PubChem chemical, as well as an NCBI taxon (<em>Homo sapiens</em>), a BOLD taxon (<em>Bombycilla</em> <em>cedrorum</em>), and a GRIN taxon (<em>Catha</em> <em>edulis</em>)</p> <p>Panel B) Prefixing is often used to indicate the source of an LRI, but prefixes themselves are often undocumented and collide.</p> <p>Panel C) Prefixes may exist in alternate forms. When all of the alternates are not known, collapsing equivalent identifiers is tedious and incomplete.</p> <p>Panel D) CURIE syntax addresses these issues by having a prefix whose relationship with a resolving namespace is clearly documented.</p>
Synthetic population for URY
<p><strong>Synthetic populations for regions of the World (SPW) | Uruguay</strong></p><p><strong>Dataset information</strong></p><p>A synthetic population of a region as provided here, captures the people of the region with selected demographic attributes, their organization into households, their assigned activities for a day, the locations where the activities take place and thus where interactions among population members happen (e.g., spread of epidemics).</p> <p><strong>License</strong></p><p><a href="https://creativecommons.org/licenses/by/4.0/">CC-BY-4.0</a></p> <p><strong>Acknowledgment</strong></p><p>This project was supported by the National Science Foundation under the NSF RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks (PI: Madhav Marathe, Co-PIs: Henning Mortveit, Srinivasan Venkatramanan; Fund Number: OAC-2027541).</p> <p><strong>Contact information</strong></p><p>Henning.Mortveit@virginia.edu</p> <p><strong>Identifiers</strong></p><table> <thead><tr> <th></th> <th></th> </tr> </thead> <tbody> <tr> <td>Region name</td> <td>Uruguay</td> </tr> <tr> <td>Region ID</td> <td>ury</td> </tr> <tr> <td>Model</td> <td>coarse</td> </tr> <tr> <td>Version</td> <td>0_9_0</td> </tr> </tbody> </table> <p><strong>Statistics</strong></p><table> <thead><tr> <th>Name</th> <th>Value</th> </tr> </thead> <tbody> <tr> <td>Population</td> <td>3208260.0</td> </tr> <tr> <td>Average age</td> <td>36.3</td> </tr> <tr> <td>Households</td> <td>1161045.0</td> </tr> <tr> <td>Average household size</td> <td>2.8</td> </tr> <tr> <td>Residence locations</td> <td>1161045.0</td> </tr> <tr> <td>Activity locations</td> <td>65127.0</td> </tr> <tr> <td>Average number of activities</td> <td>6.1</td> </tr> <tr> <td>Average travel distance</td> <td>18.9</td> </tr> </tbody> </table> <p><strong>Sources</strong></p><table> <thead><tr> <th>Description</th> <th>Name</th> <th>Version</th> <th>Url</th> </tr> </thead> <tbody> <tr> <td>Activity template data</td> <td>World Bank</td> <td>2021</td> <td><a href="https://data.worldbank.org">https://data.worldbank.org</a></td> </tr> <tr> <td>Administrative boundaries</td> <td>ADCW</td> <td>7.6</td> <td><a href="https://www.adci.com/adc-worldmap">https://www.adci.com/adc-worldmap</a></td> </tr> <tr> <td>Curated POIs based on OSM</td> <td>SLIPO/OSM POIs</td> <td></td> <td><a href="http://slipo.eu/?p=1551">http://slipo.eu/?p=1551</a> <a href="https://www.openstreetmap.org/">https://www.openstreetmap.org/</a></td> </tr> <tr> <td>Household data</td> <td>IPUMS</td> <td></td> <td><a href="https://international.ipums.org/international">https://international.ipums.org/international</a></td> </tr> <tr> <td>Population count with demographic attributes</td> <td>GPW</td> <td>v4.11</td> <td><a href="https://sedac.ciesin.columbia.edu/data/set/gpw-v4-admin-unit-center-points-population-estimates-rev11">https://sedac.ciesin.columbia.edu/data/set/gpw-v4-admin-unit-center-points-population-estimates-rev11</a></td> </tr> </tbody> </table> <p><strong>Files description</strong></p><p><strong>Base data files (ury_data_v_0_9.zip)</strong></p><table> <thead><tr> <th>Filename</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td><code>ury_person_v_0_9.csv</code></td> <td>Data for each person including attributes such as age, gender, and household ID.</td> </tr> <tr> <td><code>ury_household_v_0_9.csv</code></td> <td>Data at household level.</td> </tr> <tr> <td><code>ury_residence_locations_v_0_9.csv</code></td> <td>Data about residence locations</td> </tr> <tr> <td><code>ury_activity_locations_v_0_9.csv</code></td> <td>Data about activity locations, including what activity types are supported at these locations</td> </tr> <tr> <td><code>ury_activity_location_assignment_v_0_9.csv</code></td> <td>For each person and for each of their activities, this file specifies the location where the activity takes place</td> </tr> </tbody> </table> <p><strong>Derived data files</strong></p><table> <thead><tr> <th>Filename</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td><code>ury_contact_matrix_v_0_9.csv</code></td> <td>A POLYMOD-type contact matrix constructed from a network representation of the location assignment data and a within-location contact model.</td> </tr> </tbody> </table> <p><strong>Validation and measures files</strong></p><table> <thead><tr> <th>Filename</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td><code>ury_household_grouping_validation_v_0_9.pdf</code></td> <td>Validation plots for household construction</td> </tr> <tr> <td><code>ury_activity_durations_{adult,child}_v_0_9.pdf</code></td> <td>Comparison of time spent on generated activities with survey data</td> </tr> <tr> <td><code>ury_activity_patterns_{adult,child}_v_0_9.pdf</code></td> <td>Comparison of generated activity patterns by the time of day with survey data</td> </tr> <tr> <td><code>ury_location_construction_0_9.pdf</code></td> <td>Validation plots for location construction</td> </tr> <tr> <td><code>ury_location_assignement_0_9.pdf</code></td> <td>Validation plots for location assignment, including travel distribution plots</td> </tr> <tr> <td><code>ury_ury_ver_0_9_0_avg_travel_distance.pdf</code></td> <td>Choropleth map visualizing average travel distance</td> </tr> <tr> <td><code>ury_ury_ver_0_9_0_travel_distr_combined.pdf</code></td> <td>Travel distance distribution</td> </tr> <tr> <td><code>ury_ury_ver_0_9_0_num_activity_loc.pdf</code></td> <td>Choropleth map visualizing number of activity locations</td> </tr> <tr> <td><code>ury_ury_ver_0_9_0_avg_age.pdf</code></td> <td>Choropleth map visualizing average age</td> </tr> <tr> <td><code>ury_ury_ver_0_9_0_pop_density_per_sqkm.pdf</code></td> <td>Choropleth map visualizing population density</td> </tr> <tr> <td><code>ury_ury_ver_0_9_0_pop_size.pdf</code></td> <td>Choropleth map visualizing population size</td> </tr> </tbody> </table>
Graphs of redirection: an examination of URIs in identity graphs
<p>This is the dataset for our paper</p> <p><strong>What does it mean when your URIs are redirected? Examining identity and redirection in the LOD cloud</strong></p> <p> </p> <p>Redirection of URIs is widely used in the LOD cloud, and is even part of the best practice guidelines as an approach to the ``curation problem'' on the semantic web (i.e. how to repair imperfections). When dereferencing, one URI is redirected to another URI. Such a redirection could be the result of an update of the namespace, a different encoding scheme, or some other reasons. In this paper, we study the semantics of redirection and examine if redirection indicates how entities in the LOD cloud evolve. More specifically, we focus on entities in the identity graphs: subgraphs in the semantic web restricted to identity links. The entities we study are from sameAs.cc, an identity graph extracted from a crawl of the semantic web in 2015. Our analytical results include an examination of edges and chains of redirection as well as a statistical analysis of the redirection behavior of sampled entities. Additionally, we present properties of the graphs formed by redirection relations. </p> <p> </p> <p>The dataset contains the redirect relations of four sets of sampled entities. These sampled files are:</p> <ul> <li>ite_uniform... the edges of redirection graph corresponding to uniform samplings</li> <li>cc_sample_2... the sampling regarding connected components of size 2, 3-10, 10+, respectively.</li> </ul> <p>The Python scripts are open source online at:</p> <p>https://github.com/shuaiwangvu/redirection</p> <p>The paper is attached. In case of any questions, please contact Shuai Wang at shuai.wang@vu.nl.</p>
Abb. 2 in Käfer (Coleoptera) im Gebiet des Furkapasses, Kantone Uri und Wallis
Abb. 2. Die Wiese auf Kalk unterhalb des Hotels Furkablick (Bildmitte) erwies sich mit 52 gefundenen Käfer-Arten als der artenreichste Lebensraum. (Foto C. Germann)
Appendix 1. Die 111 in Käfer (Coleoptera) im Gebiet des Furkapasses, Kantone Uri und Wallis
Appendix 1. Die 111 nachgewiesenen Käferarten während der Forschungswoche «Hotspot Furka». Die Nummern der Probeflächen beziehen sich auf Tabelle 1. Die Determinatoren sind wie folgt abgekürzt: AS = Alex Szallies; CG = Christoph Germann; ES = Eva Sprecher; GA = Georg Artmann; HL = Henryk Luka; IS = Irene Schatz; LF = Lukas Feldmann; MB = Matthias Borer; MG = Michael Geiser; WM = Werner Marggi. Unter Ökologie wird die Höhenverbreitung angegeben: coll. = kollin/indifferent; m-alp. = ausschliesslich montan-alpin.
Abb. 1 in Käfer (Coleoptera) im Gebiet des Furkapasses, Kantone Uri und Wallis
Abb. 1. Leptusa piceata (Mulsant & Rey, 1853) (Staphylinidae) eine endogäische Art mit extrem ver- kürzten Elytren, rückgebildeten Hinterflügeln und sehr kleinen Augen. (Foto Irene Schatz)
Data corresponding to "Disparities in disruptions to public drinking water service in Texas communities during Winter Storm Uri 2021"
<p><strong>Contents:</strong></p> <p><strong>TX_pws_data_uri_zenodo.csv</strong>: This dataset was generated by integrating information on community public water systems (PWSs) from the Texas Commission of Environmental Quality (TCEQ) and Texas Water Development Board's water service boundary viewer, weather data from the National Oceanic and Atmospheric Administration (NOAA), and demographic information from the US Census Bureau's 2010 Decennial Census. More information is available in:<br> Tomko, Brianna, 2022, Public drinking water access in Texas communities during Winter Storm Uri 2021, Bachelor Thesis, The Ohio State University, Columbus. </p> <p><strong>readme_for_TX_pws_data_uri_zenodo.txt</strong>: Explains contents of TX_pws_data_uri_zenodo.csv.</p> <p><strong>WaterOutageSurvey-PeopleOnPublicWaterSystems.xlsx</strong>: This dataset was generated as part of a cross-sectionally survey of people living in Texas during Winter Storm Uri.</p> <p>More information on all datasets is available in:</p> <p>Tomko, B., C.L. Nittrouer, X. Sanchez-Vila, and A.H. Sawyer. (2023) "Disparities in disruptions to public drinking water services in Texas communities during Winter Storm Uri 2021," provisionally accepted at PLOS Water, doi: 10.1371/journal.pwat.0000137.</p>
Remifentanil and Laryngeal Reflex Responses in Pediatric Patients With URI
ClinicalTrials.gov study NCT00611195. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Use of Novel Sinusonic Device for Prevention of Community Acquired Upper Respiratory Infection (URI)
ClinicalTrials.gov study NCT04468204. IPD Sharing: NO. Countries: 1. Publications: 0.
Study to Evaluate the Efficacy of EZC Pak in Adults With Upper Respiratory Infection (URI)
ClinicalTrials.gov study NCT04943575. IPD Sharing: NO. Countries: 1. Publications: 1.
Comparison of Supportive Therapies for Symptom Relief From Pediatric Upper Respiratory Infections (URIs)
ClinicalTrials.gov study NCT01814293. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Appropriate Care of URI (ACURI): Early Head Start
ClinicalTrials.gov study NCT01916031. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Gene expression profiling of immune cells at the single-cell level from livers of URI and glutamine synthetase knockout mice
GEO Series GSE266568. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Gene expression profiling by bulk RNAseq from the livers of wild-type mice and those with loss-of-function mutations in URI 48 hours after partial hepatectomy
GEO Series GSE281923. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Echinacea, Propolis and Vitamin C for URI Prevention in Preschoolers
ClinicalTrials.gov study NCT00231218. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Umuryango Ukomera Uri Hamwe - Families Are Strong Together
ClinicalTrials.gov study NCT04061954. IPD Sharing: NO. Countries: 1. Publications: 0.
Open Label Study to Evaluate the Efficacy of the Home Based Electrical Transcutaneous URIS I in the Treatment of Overactive Bladder (OAB).
ClinicalTrials.gov study NCT05211193. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Extubation Criteria in Children With Upper Respiratory Infection (URI)
ClinicalTrials.gov study NCT04155892. IPD Sharing: NO. Countries: 1. Publications: 0.
The Association of Hand Hygiene Practice on Primary Schoolgirls Absence Due to URIs in Riyadh City, 2017-2018.
ClinicalTrials.gov study NCT03535064. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PatchFlow v1.0 age-stratified networks URY
Age-stratified synthetic mobility networks for URY
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