cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/lrevzr
title: CMB 2022: Tracking Questions and Data Summary

description: Responses to annual "tracking" questions and complete data summary / codebook for Canadian Municipal Barometer 2022 annual survey.
DOI: 10.5683/sp3/mcclhu
title: Changing Surface Polyethylene Glycol Architecture Affects Elongated Nanoparticle Penetration into Multicellular Tumor Spheroids

description: Modular nanoconjugates present opportunities to explore the interactions of anisotropic nanoparticles (NPs) in biological environments. To promote colloidal stability and biocompatibility, most NPs designed for biomedical applications are coated with polyethylene glycol (PEG) brushes. However, concerns have been raised about the immunogenicity of PEG, even though new evidence has suggested that differences in PEG architecture (i.e., branching) can change how NPs with surface-grafted PEGs interact with different biological environments. In particular, poly(oligoethyleneglycol methacrylate) (POEGMA) has been shown to have useful antifouling properties without triggering PEG-associated immunogenicity. Nevertheless, these observations have not resulted in useful relationships between PEG structure and its biological activity, as there have been few direct comparisons of these polymers in biological systems. The following data compares the penetration of three rod-like NPs with narrow size distributions (Ln = 170 nm, wn = 12 nm) using tumor spheroids as a model.
DOI: 10.5683/sp3/ikmi1q
title: C14, Radio Carbon Dating, William's birch bark manuscript

description: C14 analysis performed on Williams' birchbark manuscript by John Southon at the University of California as part of a collaboration for the Andrew W. Mellon funded Book and The Silk Roads project. Mary French and Bexx Caswell-Olson from the Northeast Document Conservation Center selected the sample for analysis.
These samples were treated with acid-base-acid (1N HCl and 1N NaOH, 75°C) prior to combustion.
description: Radiocarbon concentrations are given as fractions of the Modern standard, D14C, and conventional radiocarbon age, following the conventions of Stuiver and Polach (Radiocarbon, v. 19, p.355, 1977). 
Sample preparation backgrounds have been subtracted, based on measurements of 14C-free wood.
All results have been corrected for isotopic fractionation according to the conventions of Stuiver and Polach (1977), with d13C values measured on prepared graphite using the AMS spectrometer. These can differ from d13C of the original material, and are not shown.
description: Williams College Chapin Library of Rare Books: https://librarysearch.williams.edu/permalink/f/jglgtk/01WIL_ALMA21233635290002786
description: Birch bark codex from Kashmir written Sanskrit using Śāradā script written by Jagaddhara, containing Bālabodhinī, books 2-3. Created been 1500-1640CE.
DOI: 10.5683/sp3/rempeh
title: Experiences of social participation for Canadian wheelchair users with spinal cord injury during the first wave of COVID-19 pandemic

description: Quantitative data for the manuscript entitled “Experiences of social participation for Canadian wheelchair users with spinal cord injury during the first wave of COVID-19 pandemic”. Participants completed two validated questionnaires that were modified in the context of the pandemic. A group of expert researchers determined which items from Assessment of Life Habits (LIFE-H 4.0) and from Measure of Quality of the Environment (MQE) were the most relevant in the context of the pandemic.
DOI: 10.5683/sp3/zgf60t
title: Replication Data for: Higher Doses Improve Walking Recovery During Stroke Inpatient Rehabilitation

description: This data set is for the article entitled: Higher Doses Improve Walking Recovery During Stroke Inpatient Rehabilitation.
description: DOI: 10.1161/STROKEAHA.120.029245
DOI: 10.5683/sp3/v2701l
title: Replication data for: Copy rats: Learning by observation during a foraging task by rats

description: In two experiments, rats observed expert foragers in a laboratory foraging task. In both experiments, 12 towers with a food cup on top of each tower were placed in a circle. Six towers, marked with black and white stripes, had cups baited with cheese, and were located in randomly selected positions on successive trials. The other six towers were white with food cups that were sham baited with inaccessible food. In both experiments, during Phase 1, demonstrator rats eventually learned to find the baited towers, making approximately 90% correct choices in their first six choices. In Phase 2, observer rats each had an opportunity to observe, from a cage located inside the circle of towers, a now-expert demonstrator forage. Half of the observers were able to observe a cage mate, whereas the other half of the observers were able to observe a non-cage mate. After a delay of about 2 min (Experiment 1) or about 24 h (Experiment 2), the observers were allowed to forage among the rebaited towers. In both experiments, the observers performed better during their 20 Phase 2 trials than the demonstrators had performed during their first 20 Phase 1 trials. But, in both experiments, there was no clearly significant difference between the performance of observers able to watch cage mates as opposed to non-cage mates. Because the observational effect seen in both experiments survived a 24-h delay between observation and performance, it was deemed to have been based on learning.
description: This research was carried out by students under my supervision in the context of our fourth-year thesis course and was given ethics approval by the Animal Use Subcommittee at the University of Western Ontario. Portions of the present research were presented at various conferences including the meetings of the Canadian Society for Brain, Behaviour and Cognitive Sciences in 2012, and at the meetings of the Psychonomic Society in Toronto, 2013.

The data in Experiment 1 were collected in 2010 and the data in Experiment 2 were collected in 2011.
DOI: 10.5683/sp3/ljuyhw
title: Replication Data for: Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task

description: This dataset is for article: Peters S, Lim SB, Louie DR, Yang CL, Eng JJ. Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task. J Neuroeng Rehabil. 2020 Aug 10;17(1):107. doi: 10.1186/s12984-020-00739-6. PMID: 32778109
DOI: 10.5683/sp3/2fpbgp
title: Assessment of fish and vertebrate communities in Fairy Lake, Acton ON through metabarcoding of 12S and COI markers in August 2021

description: This dataset contains the results of metabarcoding environmental DNA (eDNA) collected on August 3rd 2021 from 9 sites around Fairy Lake in Acton Ontario. The eDNA was collected by filtering between 1-5 L water through 1 um or 5 um cellulose filters. The eDNA was then extracted and metabarcoded using 12S and COI primers to investigate the fish community in the lake.
description: The authors also wish to acknowledge Pedro Gurgell at Hatch Engineering and the staff at the Advanced Analysis Centre at the University of Guelph for their work collecting and processing these samples.
DOI: 10.5683/sp3/7sb2ny
title: Detection of brook trout in spatiotemporally separate locations using validated eDNA technology

description: This data is the result of targeted brook trout (Salvelinus fontinalis) detection from two creeks in Southwestern Ontario: Hanlon Creek in Guelph ON, and 12-Mile Creek near Pelham ON. The purpose of this data was to determine whether or not brook trout were occupying the two creeks during the time of sampling. This dataset contains the raw qPCR files obtained from the MIC thermocycler as well as the formatted data set, metadata including electrofishing results, and R scripts used for analysis.
description: R
description: Magnetic Induction Thermocycler (MIC) Software
DOI: 10.5683/sp3/hep1un
title: OLab as an Exam Emulator

description: OLab has a long history of being used by many different groups for supporting summative exams, as well as its more frequent use in formative assessment. Its flexibility in design, both in the logical pathways and case navigation, and in case presentation through a variable user interface design, has given us several opportunities to use OLab as an exam emulator.
description: OLab
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
description: This zip file should contain a secondary zip file. The secondary zip file is Medbiq MVP formatted export of the scenario. It can be imported into an OLab4 or OpenLabyrinth v3 server for further editing on that server. If you do not see a zip file in this listing, the uploading author may have forgotten to create one. In this case, download all of the files that you see attached to this dataset and compress them into a single zip file, which you can then import into your OLab server.
description: README on what to do with these files
-----------------------------------------------

You have downloaded an OLab zip file. See the second zip file contained within this download. Extract it and save it as a single zip file so this can be imported into an existing OpenLabyrinth v3 or OLab4 server. You do not need to expand this second zip file -- the import process will expand the contents into the correct locations on the OLab server. 

What are OLab scenarios?
An OLab virtual scenario is a case or story, or it might be a wee test to challenge your learners. It might be a simple 3-step set of pages and questions. It might be a complex choose-your-own-adventure style of branching narrative. 

Why do I need an OLab server?
To simply play the original scenario, look at the metadata in the Dataverse that you downloaded this zip from. There will be a link to a playable version - for this, you only need a web browser. (No software download needed.) 

But if you want to be able to edit the scenario, examine how it was crafted or use it as a template on which to build a new one, you start with this zip file and import it into an OLab server. 

You will need an account on that OLab server that gives you author privileges. 

If you do not have an account, contact us using the contact information given in the metadata in the Dataverse. 

How do I import this scenario into an OLab server?
There are more detailed instructions available in the OLab User Guide. 
Briefly the steps are as follows:
1. Login to your OLab server as usual. 
2. Under the Labyrinths or Maps menu, click on Import
3. Tell the server which zip file to import.
4. It should only take a few seconds to import most zip files. More complex scenarios might take a couple of minutes at most. 
5. When imported, the scenario should appear in your list of Labyrinths or Maps.
DOI: 10.5683/sp3/bmfsog
title: Data from: Genotyping-in-Thousands by sequencing of archival fish scales reveals maintenance of genetic variation following a severe demographic contraction in kokanee salmon

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Historical DNA analysis of archival samples has added new dimensions to population genetic studies, enabling spatiotemporal approaches for reconstructing population histories and informing conservation management. Here we tested the efficacy of Genotyping-in-Thousands by sequencing (GT-seq) for collecting targeted single nucleotide polymorphism (SNP) genotypic data from archival scale samples, and demonstrate its application to a study of kokanee salmon (&lt;i&gt;Oncorhynchus nerka&lt;/i&gt;) in Kluane National Park and Reserve (KNPR; Yukon, Canada) that underwent a severe 12-year population decline followed by a rapid rebound. We genotyped archival scales sampled pre-crash and contemporary fin clips collected post-crash, revealing high coverage (&gt;90% average genotyping across all individuals) and low genotyping error (&lt;0.01% within-libraries, 0.60% among-libraries) despite the relatively poor quality of recovered DNA. We observed slight decreases in expected heterozygosity, allelic diversity, and effective population size post-crash, but none were significant, suggesting genetic diversity was retained despite the severe demographic contraction. Genotypic data also revealed the genetic distinctiveness of a now extirpated population just outside of KNPR, revealing biodiversity loss at the northern edge of the species distribution. More broadly, we demonstrate GT-seq as a valuable tool for genome-wide data collection from archival samples to address basic questions in ecology and evolution, and inform applied research in wildlife conservation and fisheries management.&lt;/p&gt;
description: &lt;b&gt;Usage notes&lt;/b&gt;&lt;br /&gt;&lt;p&gt;onco_223ind_271snp.vcf: genotypic data for 23 individuals at 271 SNPs generated via GT-seq.&lt;/p&gt;
&lt;p&gt;metadata.xlsx: individual metadata including sample identifiers, location, year sampled, fork length, weight, age and sex (if known).&lt;/p&gt;
description: <b>Dryad version number:</b> 6
<b>Version status:</b> submitted
<b>Dryad curation status:</b> Published
<b>Sharing link:</b> https://datadryad.org/stash/share/9AtUvhAidcgKxurs7KaQhDFUuqWokxSLrKRVw_wJc0w
<b>Storage size:</b> 406294
<b>Visibility:</b> public
DOI: 10.5683/sp3/ga3dy2
title: Replication Data and Code for: Non-tariff measures: What's tariffs got do with it?

description: The data and programs reproduce Figure 1 and Tables 1-10 in the paper as well as Tables C1-C5 in Online Appendix C. Please see the ReadMe file for additional details.
DOI: 10.15468/dl.8stnqq
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 5459320 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 5459320 OR CAST(occurrence.kingdomkey AS INTEGER) = 5459320 OR CAST(occurrence.phylumkey AS INTEGER) = 5459320 OR CAST(occurrence.classkey AS INTEGER) = 5459320 OR CAST(occurrence.orderkey AS INTEGER) = 5459320 OR CAST(occurrence.familykey AS INTEGER) = 5459320 OR CAST(occurrence.genuskey AS INTEGER) = 5459320 OR CAST(occurrence.specieskey AS INTEGER) = 5459320)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046571-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/wceurn
title: Canadian Community Health Survey, Cycle 2.2, 2004: Summary data tables (PDF)

description: &lt;p&gt;Statistics Canada released summary data tables on nutrient intakes from food, based on data collected from the Canadian community health survey, cycle 2.2, Nutrition (2004)  Includes a set of 42 summary tables organized by nutrient and by region. &lt;/p&gt;

&lt;p&gt;The nutrient intakes represent food consumption, and exclude data on nutrient intakes from vitamin and mineral supplements. Nutrients include:&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;Volume 1: Total Energy; Percentage of total energy intake from: - fats, - protein, - carbohydrates, - saturated fats, - monounsaturated fats, - polyunsaturated fats; Total dietary fibre; Cholesterol; Vitamin A; Vitamin C; Calcium; Sodium&lt;/li&gt;
 &lt;li&gt;Volume 2: Folate (DFE); Iron; Linoleic acid (g, % energy); Magnesium; Niacin; Phosphorus; Potassium; Riboflavin; Thiamin; Vitamin B6; Vitamin B12; Vitamin C by smoking status; Vitamin D; Zinc&lt;/li&gt;
 &lt;li&gt;Volume 3: Folacin; Linolenic acid (g, % energy); Moisture ; Naturally occurring folate; Protein; Total carbohydrates; Total fats; Total monounsaturated fats; Total polyunsaturated fats; Total saturated fats; Total sugars&lt;/li&gt;
&lt;/ul&gt;
description: Canadian Community Health Survey
description: Original dissemination medium: CD-ROM. CD-ROM can be ordered from Health Canada or viewed at the Map & Data Library.
DOI: 10.5683/sp3/c6ximn
title: United Nations statistical yearbook, 1999
title: United Nations statistical yearbook, 1999 (43rd ed.)

description: &lt;p&gt;The Statistical Yearbook provides systematic information on a wide range of social and economic issues that are of concern in the United Nations system and among the governments and peoples of the world. A particular value of the Yearbook, but also its greatest challenge, is that these issues are extensively interrelated. Meaningful social and economic analysis of these issues requires systematization and coordination of the data across many fields. These issues include: general economic growth and related economic conditions; economic situation in developing countries and progress towards the objectives adopted for the United Nations development decades; population and urbanization, and their growth and impact; employment, inflation and wages; production of energy and development of new energy sources; expansion of trade; financial situation and external payments and receipts; education, training and eradication of illiteracy; improvement in general living conditions; pollution and protection of environment and assistance provided to developing countries for social and economic development purposes.&lt;/p&gt;

&lt;p&gt;84 data files (Beyond 20/20 format; number of logical records varies) & accompanying documentation&lt;/p&gt;
description: United Nations statistical yearbook
description: More recent version can be found as PDFs on the United Nations Statistics Division website.

Original dissemination medium: Cd-rom. Available for viewing at the Map & Data Library.
DOI: 10.5683/sp3/nfkb0d
title: Replication Data for: Flow energy and gravel tracer displacement data in three creeks in Toronto and area, Canada

description: Bedload sediment tracer data used to construct models between flow energy and mean sediment displacement in Wilket, Ganatsekaigon, and Morningside Creeks.
description: Publication in review
DOI: 10.15468/dl.hf5s6e
title: Occurrence Download

description: A dataset containing 3128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.02284110370123",
 "DecimalLongitude is less than 7.02590065688563",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3128 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046590-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/6bwo1b
title: Replication Data and Code for: Debt-relief programs and money left on the table: Evidence from Canada’s response to COVID-19

description: The data and programs replicate tables and figures from "Debt-relief programs and money left on the table: Evidence from Canada’s response to COVID-19", by Allen, Clark, Li, and Vincent. Please see the ReadMe file for additional details.
DOI: 10.5683/sp3/tdcb7j
title: Code used for Assessment of the quality of ACE-FTS stratospheric ozone data

description: Matlab code used for analyses for Sheese et al., "Assessment of the quality of ACE-FTS stratospheric ozone data".
DOI: 10.5683/sp3/ary6el
title: Replication Data for: Effects of forest management on mercury bioaccumulation and biomagnification along the river continuum

description: This dataset contains the data used in the paper "Effects of forest management on mercury bioaccumulation and biomagnification along the river continuum." The dataset contains stable isotope data and total or methyl mercury concentrations collected on water, course particulate organic matter (CPOM), fine particulate organic matter (FPOM), seston, biofilm, invertebrates, and fish. These data were collected to study the effects of forest management on mercury bioaccumulation and biomagnification in food webs along a stream continuum.
DOI: 10.5683/sp3/yi4j5v
title: Données pour Réputation sur les enjeux : la victoire de Donald Trump grâce à l'identité rurale dans les États du Midwest américain

description: Ce jeu de données présente tout d’abord les résultats des élections présidentielles de 2008 à 2020 dans la totalité des comtés du Michigan, de la Pennsylvanie et du Wisconsin. Nous avons calculé la marge de victoire des candidats pour l’ensemble des comtés ainsi que la variation électorale observée d’une élection à l’autre. Ces deux variables sont par la suite analysées en fonction du degré de ruralité d’un comté, soit le pourcentage d’individus vivant à l’extérieur des centres urbains. Ce jeu de données permet d’observer la répartition des comtés entre les deux principaux partis politiques lors des élections, mais aussi la popularité des candidats en fonction du taux d’Américains ruraux.