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1 to 10 of 570 Results

Local mask orders pre Statewide Nov 27, 2020 - Philip Jacobs Dataverse Jacobs, Philip, 2020, "Local mask orders pre Statewide", https://doi.org/10.7939/DVN/NDFEHK, UAL Dataverse, V2, UNF:6:s/t7VoXnzZZXjfYKKlm6iQ== [fileUNF] This database contains county and city orders in states with statewide orders, enacted prior to when the state orders came into effect. Data by state and locality, with date of enactment and internet reference.
2018 Census of Canadian Academic Librarians Nov 26, 2020 Revitt, Eva; Magnus, Ebony; & Wright, John, 2019, "2018 Census of Canadian Academic Librarians", https://doi.org/10.7939/DVN/JRDEPL, UAL Dataverse, V2 Canada's second census of Canadian academic librarians was conducted by the Canadian Association of Academic Librarians (CAPAL) from June to September, 2018. The goal of the census is to build a comprehensive demographic picture of the profession of academic librarianship by coll...
Replication Data for: 'Inoculation of seedlings alters fungal communities but does not improve their performance in beetle-killed sites' Nov 23, 2020 Wasyliw, Josh; Fellrath, Evan G.; Cale, Jon; Franklin, James; Thomasson, Charlotte; Pec, Gregory J.; Erbilgin, Nadir; Karst, Justine, 2020, "Replication Data for: 'Inoculation of seedlings alters fungal communities but does not improve their performance in beetle-killed sites'", https://doi.org/10.7939/DVN/DGQFJG, UAL Dataverse, V1, UNF:6:ABCQIEuxYUAA20XHYTnUgA== [fileUNF] Outbreaks of mountain pine beetle in western North America could have long lasting consequences for forest trajectories. In particular, changes to the soil fungal community, which accompany outbreaks, could impede successful seedling regeneration.
Leys Lab Papers Nov 17, 2020 - Sally Leys Lab Leys, Sally, 2020, "Leys Lab Papers", https://doi.org/10.7939/DVN/1T7ZWG, UAL Dataverse, V1 This is a repository for papers published by Sally Leys and the Leys lab.
Geodia Contraction (Evgeni Matveev 498) Nov 17, 2020 - Sally Leys Lab Leys, Sally, 2020, "Geodia Contraction (Evgeni Matveev 498)", https://doi.org/10.7939/DVN/VVOJUO, UAL Dataverse, V1, UNF:6:nILlHk8PYoqeHT6VICAtgQ== [fileUNF] This folder contains photographs taken of Geodia barretii contractions in response to mechanical stimulus. The videos were taken in 2016, and have been analyzed for oscule contraction.
Sally Leys Lab(University of Alberta) Nov 17, 2020 We study the evolution, physiology, morphology, and ecology of early Metazoa, with a focus on phylum Porifera (sponges).
Philip Jacobs Dataverse(University of Alberta) Nov 16, 2020 This dataset covers local government , loclmask orders for22 US states whicd subsequently issued statewide mask orders during the COVID -19 pandemic. Data covers April to September, 2020 and includes state, local government, date of order, and reference (embedded).
Replication Data for: The influence of a fluid core and a solid inner core on the Cassini sate of Mercury Nov 12, 2020 - Mathieu Dumberry Dataverse Dumberry, Mathieu, 2020, "Replication Data for: The influence of a fluid core and a solid inner core on the Cassini sate of Mercury", https://doi.org/10.7939/DVN/903HUV, UAL Dataverse, V2 Matlab Codes and GMT script to replicate the results presented in the paper.
Data for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool Nov 9, 2020 - ARCHE Dataverse Gates, Allison, 2020, "Data for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool", https://doi.org/10.7939/DVN/9BQ1TK, UAL Dataverse, V1, UNF:6:KNOcjZp+YAEnizftZNCACw== [fileUNF] Data for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool
Protocol for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool Nov 9, 2020 - ARCHE Dataverse Gates, Allison, 2020, "Protocol for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool", https://doi.org/10.7939/DVN/RQPJKS, UAL Dataverse, V1 Proposal and protocol for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool

Local mask orders pre Statewide

Nov 27, 2020 - Philip Jacobs Dataverse

Jacobs, Philip, 2020, "Local mask orders pre Statewide", https://doi.org/10.7939/DVN/NDFEHK, UAL Dataverse, V2, UNF:6:s/t7VoXnzZZXjfYKKlm6iQ== [fileUNF]

This database contains county and city orders in states with statewide orders, enacted prior to when the state orders came into effect. Data by state and locality, with date of enactment and internet reference.

2018 Census of Canadian Academic Librarians

Nov 26, 2020

Revitt, Eva; Magnus, Ebony; & Wright, John, 2019, "2018 Census of Canadian Academic Librarians", https://doi.org/10.7939/DVN/JRDEPL, UAL Dataverse, V2

Canada's second census of Canadian academic librarians was conducted by the Canadian Association of Academic Librarians (CAPAL) from June to September, 2018. The goal of the census is to build a comprehensive demographic picture of the profession of academic librarianship by coll...

Replication Data for: 'Inoculation of seedlings alters fungal communities but does not improve their performance in beetle-killed sites'

Nov 23, 2020

Wasyliw, Josh; Fellrath, Evan G.; Cale, Jon; Franklin, James; Thomasson, Charlotte; Pec, Gregory J.; Erbilgin, Nadir; Karst, Justine, 2020, "Replication Data for: 'Inoculation of seedlings alters fungal communities but does not improve their performance in beetle-killed sites'", https://doi.org/10.7939/DVN/DGQFJG, UAL Dataverse, V1, UNF:6:ABCQIEuxYUAA20XHYTnUgA== [fileUNF]

Outbreaks of mountain pine beetle in western North America could have long lasting consequences for forest trajectories. In particular, changes to the soil fungal community, which accompany outbreaks, could impede successful seedling regeneration.

Leys Lab Papers

Nov 17, 2020 - Sally Leys Lab

Leys, Sally, 2020, "Leys Lab Papers", https://doi.org/10.7939/DVN/1T7ZWG, UAL Dataverse, V1

This is a repository for papers published by Sally Leys and the Leys lab.

Geodia Contraction (Evgeni Matveev 498)

Nov 17, 2020 - Sally Leys Lab

Leys, Sally, 2020, "Geodia Contraction (Evgeni Matveev 498)", https://doi.org/10.7939/DVN/VVOJUO, UAL Dataverse, V1, UNF:6:nILlHk8PYoqeHT6VICAtgQ== [fileUNF]

This folder contains photographs taken of Geodia barretii contractions in response to mechanical stimulus. The videos were taken in 2016, and have been analyzed for oscule contraction.

Sally Leys Lab(University of Alberta)

Nov 17, 2020

We study the evolution, physiology, morphology, and ecology of early Metazoa, with a focus on phylum Porifera (sponges).

Philip Jacobs Dataverse(University of Alberta)

Nov 16, 2020

This dataset covers local government , loclmask orders for22 US states whicd subsequently issued statewide mask orders during the COVID -19 pandemic. Data covers April to September, 2020 and includes state, local government, date of order, and reference (embedded).

Replication Data for: The influence of a fluid core and a solid inner core on the Cassini sate of Mercury

Nov 12, 2020 - Mathieu Dumberry Dataverse

Dumberry, Mathieu, 2020, "Replication Data for: The influence of a fluid core and a solid inner core on the Cassini sate of Mercury", https://doi.org/10.7939/DVN/903HUV, UAL Dataverse, V2

Matlab Codes and GMT script to replicate the results presented in the paper.

Data for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool

Nov 9, 2020 - ARCHE Dataverse

Gates, Allison, 2020, "Data for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool", https://doi.org/10.7939/DVN/9BQ1TK, UAL Dataverse, V1, UNF:6:KNOcjZp+YAEnizftZNCACw== [fileUNF]

Data for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool

Protocol for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool

Nov 9, 2020 - ARCHE Dataverse

Gates, Allison, 2020, "Protocol for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool", https://doi.org/10.7939/DVN/RQPJKS, UAL Dataverse, V1

Proposal and protocol for: Creating efficiencies in the extraction of data from randomized trials: A prospective evaluation of a machine learning and text mining tool

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