cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18250876
title: Calibrachoa pubescens (Spreng.) Stehmann. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.8q7srg
title: Occurrence Download

description: A dataset containing 4660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blicca bjoerkna",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1985",
 "Year is less than or equal to 1989"
 ]
}

 The dataset includes 4660 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010354-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18250879
title: Calibrachoa pygmea (R.E.Fr.) Wijsman. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18250880
title: Calibrachoa pygmea (R.E.Fr.) Wijsman. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.97q8kn
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.43.83_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010356-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr7wtf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Plantae",
 "Geometry POLYGON ((9.288747 40.81784, 9.288743 40.81787, 9.288737 40.81791, 9.288729 40.81794, 9.288718 40.81798, 9.288704 40.81801, 9.288689 40.81804, 9.288671 40.81808, 9.28865 40.81811, 9.288628 40.81814, 9.288603 40.81817, 9.288577 40.8182, 9.288548 40.81823, 9.288518 40.81825, 9.288485 40.81828, 9.288451 40.81831, 9.288415 40.81833, 9.288378 40.81835, 9.288339 40.81837, 9.288299 40.81839, 9.288258 40.81841, 9.288215 40.81842, 9.288172 40.81843, 9.288128 40.81845, 9.288082 40.81846, 9.288037 40.81846, 9.287991 40.81847, 9.287944 40.81848, 9.287897 40.81848, 9.28785 40.81848, 9.287803 40.81848, 9.287756 40.81848, 9.28771 40.81847, 9.287663 40.81846, 9.287617 40.81846, 9.287572 40.81845, 9.287528 40.81843, 9.287485 40.81842, 9.287442 40.81841, 9.287401 40.81839, 9.287361 40.81837, 9.287322 40.81835, 9.287285 40.81833, 9.287249 40.81831, 9.287215 40.81828, 9.287182 40.81825, 9.287152 40.81823, 9.287123 40.8182, 9.287097 40.81817, 9.287072 40.81814, 9.28705 40.81811, 9.287029 40.81808, 9.287011 40.81804, 9.286996 40.81801, 9.286982 40.81798, 9.286971 40.81794, 9.286963 40.81791, 9.286957 40.81787, 9.286953 40.81784, 9.286952 40.8178, 9.286953 40.81776, 9.286957 40.81773, 9.286963 40.81769, 9.286971 40.81766, 9.286982 40.81762, 9.286996 40.81759, 9.287011 40.81756, 9.287029 40.81752, 9.28705 40.81749, 9.287072 40.81746, 9.287097 40.81743, 9.287123 40.8174, 9.287152 40.81737, 9.287182 40.81735, 9.287215 40.81732, 9.287249 40.81729, 9.287285 40.81727, 9.287322 40.81725, 9.287361 40.81723, 9.287401 40.81721, 9.287442 40.81719, 9.287485 40.81718, 9.287528 40.81717, 9.287572 40.81715, 9.287617 40.81714, 9.287663 40.81714, 9.28771 40.81713, 9.287756 40.81712, 9.287803 40.81712, 9.28785 40.81712, 9.287897 40.81712, 9.287944 40.81712, 9.287991 40.81713, 9.288037 40.81714, 9.288082 40.81714, 9.288128 40.81715, 9.288172 40.81717, 9.288215 40.81718, 9.288258 40.81719, 9.288299 40.81721, 9.288339 40.81723, 9.288378 40.81725, 9.288415 40.81727, 9.288451 40.81729, 9.288485 40.81732, 9.288518 40.81735, 9.288548 40.81737, 9.288577 40.8174, 9.288603 40.81743, 9.288628 40.81746, 9.28865 40.81749, 9.288671 40.81752, 9.288689 40.81756, 9.288704 40.81759, 9.288718 40.81762, 9.288729 40.81766, 9.288737 40.81769, 9.288743 40.81773, 9.288747 40.81776, 9.288748 40.8178, 9.288747 40.81784))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010357-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18250883
title: Calibrachoa scabridula (C.V.Morton) Stehmann. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18250884
title: Calibrachoa scabridula (C.V.Morton) Stehmann. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.eekyv5
title: Occurrence Download

description: A dataset containing 10233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blicca bjoerkna",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 1994"
 ]
}

 The dataset includes 10233 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010358-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqxppn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.43.84_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010359-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18250896
title: Calibrachoa thymifolia (A.St.-Hil.) Stehmann & Semir. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18250897
title: Calibrachoa thymifolia (A.St.-Hil.) Stehmann & Semir. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.b8t33k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Plantae",
 "Geometry POLYGON ((17.0872 49.52883, 17.08719 49.52886, 17.08719 49.52889, 17.08718 49.52892, 17.08717 49.52895, 17.08715 49.52898, 17.08714 49.52901, 17.08712 49.52904, 17.0871 49.52906, 17.08708 49.52909, 17.08705 49.52912, 17.08703 49.52914, 17.087 49.52917, 17.08697 49.52919, 17.08694 49.52921, 17.0869 49.52923, 17.08687 49.52925, 17.08683 49.52927, 17.08679 49.52929, 17.08675 49.5293, 17.08671 49.52932, 17.08667 49.52933, 17.08662 49.52934, 17.08658 49.52935, 17.08653 49.52936, 17.08649 49.52937, 17.08644 49.52938, 17.08639 49.52938, 17.08635 49.52938, 17.0863 49.52938, 17.08625 49.52938, 17.08621 49.52938, 17.08616 49.52938, 17.08611 49.52937, 17.08607 49.52936, 17.08602 49.52935, 17.08598 49.52934, 17.08593 49.52933, 17.08589 49.52932, 17.08585 49.5293, 17.08581 49.52929, 17.08577 49.52927, 17.08573 49.52925, 17.0857 49.52923, 17.08566 49.52921, 17.08563 49.52919, 17.0856 49.52917, 17.08557 49.52914, 17.08555 49.52912, 17.08552 49.52909, 17.0855 49.52906, 17.08548 49.52904, 17.08546 49.52901, 17.08545 49.52898, 17.08543 49.52895, 17.08542 49.52892, 17.08541 49.52889, 17.08541 49.52886, 17.0854 49.52883, 17.0854 49.5288, 17.0854 49.52877, 17.08541 49.52874, 17.08541 49.52871, 17.08542 49.52868, 17.08543 49.52865, 17.08545 49.52862, 17.08546 49.52859, 17.08548 49.52856, 17.0855 49.52854, 17.08552 49.52851, 17.08555 49.52848, 17.08557 49.52846, 17.0856 49.52843, 17.08563 49.52841, 17.08566 49.52839, 17.0857 49.52837, 17.08573 49.52835, 17.08577 49.52833, 17.08581 49.52831, 17.08585 49.52829, 17.08589 49.52828, 17.08593 49.52827, 17.08598 49.52826, 17.08602 49.52825, 17.08607 49.52824, 17.08611 49.52823, 17.08616 49.52822, 17.08621 49.52822, 17.08625 49.52822, 17.0863 49.52822, 17.08635 49.52822, 17.08639 49.52822, 17.08644 49.52822, 17.08649 49.52823, 17.08653 49.52824, 17.08658 49.52825, 17.08662 49.52826, 17.08667 49.52827, 17.08671 49.52828, 17.08675 49.52829, 17.08679 49.52831, 17.08683 49.52833, 17.08687 49.52835, 17.0869 49.52837, 17.08694 49.52839, 17.08697 49.52841, 17.087 49.52843, 17.08703 49.52846, 17.08705 49.52848, 17.08708 49.52851, 17.0871 49.52854, 17.08712 49.52856, 17.08714 49.52859, 17.08715 49.52862, 17.08717 49.52865, 17.08718 49.52868, 17.08719 49.52871, 17.08719 49.52874, 17.0872 49.52877, 17.0872 49.5288, 17.0872 49.52883))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010361-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18250900
title: Calibrachoa parviflora (Juss.) D'Arcy. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18250901
title: Calibrachoa parviflora (Juss.) D'Arcy. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.kn82k5
title: Occurrence Download

description: A dataset containing 25486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blicca bjoerkna",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1995",
 "Year is less than or equal to 1999"
 ]
}

 The dataset includes 25486 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010362-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvbcy4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.43.85_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010363-260108223611665/datasets/export for details.
DOI: 10.15468/dl.gpw2ex
title: Occurrence Download

description: A dataset containing 1172813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Depth 0.0-113.0m",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthozoa",
 "Year 1982-2023"
 ]
}

 The dataset includes 1172813 records from 473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010343-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14288/1.0400467
title: Adapting a propane turkey fryer to manipulate temperature in aquatic environments - Thermal manipulation datasets

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;There is a growing need to better understand the potential impacts of altered thermal regimes on biodiversity and ecosystem function as mean temperatures, and the likelihood of extreme temperatures, continue to increase. One valuable approach to identify mechanisms and pathways of thermally-driven change at the community level is through the manipulation of temperature in the field. However, where methods exist, they are often costly or unable to produce ecologically relevant changes in temperature. Here, we present a low cost, easily assembled, and readily customizable thermal manipulation system for tide pools or other small bodies of water – the Seaside Array for Understanding Thermal Effects (SAUTE) – and demonstrate its ability to effectively alter the temperature in tide pools. During our three-hour heating manipulation, heated pools reached temperatures 4°C warmer than unmanipulated pools. During the cooling manipulation, cooled pools remained on average 1.8°C cooler than control pools. The novel SAUTE system can be used to alter the temperature of tide pools in situ. Further, it could be modified to heat other environments such as freshwater vernal pools and settlement tiles in a realistic and meaningful manner, serving as a useful tool to test questions surrounding the relationship between climate warming, thermal variability, and ecological processes in natural aquatic communities.&lt;/p&gt;
DOI: 10.14288/1.0400469
title: Ant predation towards termite and treehopper baits in the Ecuadorian Amazon

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Animals may develop mutualistic associations with other species, whereby prey offer resources or services in exchange for protection from predators. Alternatively, prey may offer resources or services directly to their would-be predators in exchange for their lives. The latter may be the case of hemipterans that engage in mutualistic interactions with ants by offering a honeydew reward. We test the extent to which a honeydew offering vs. partner recognition may play a role as proximate mechanisms deterring ants from predating upon their hemipteran partners. We show that, when presented with a choice between a hemipteran partner and an alternative prey type, mutualist ants were less likely to attack and more likely to remain probing their hemipteran partners. This occurred even in the absence of an immediate sugary reward, suggesting either an evolved or learned partner recognition response. To a similar extent, however, ants were also less likely to attack the alternative prey type when laced with honey, even after the honey had been depleted, suggesting an ability of ants to recognize new potential sources of honey. Either possibility suggests a degree of innate or learned partner recognition.&lt;/p&gt;
DOI: 10.14288/1.0400758
title: Methodological approach to generate reflection and reflective notes

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p class="MsoNoSpacing"&gt;The objective of this data note is twofold: 1) to illustrate the methodological approach used to generate guided reflections at undergraduate level aided by a patient-based vignette portraying an individual with a history of substance use and mental health disorders; 2) to provide a summary of the raw data set in the form brief educational reflections submitted anonymously by undergraduate dental and dental hygiene students. These reflections were used in our recent publication titled ‘The role of an educational vignette to teach dental students on issues of substance use and mental health disorders at the University of British Columbia: An exploratory Qualitative study. By offering the reader with a &lt;i&gt;road map&lt;/i&gt; to generate such reflections, and a summary of the reflections themselves, we hope to engage other dental schools in planning their educational teaching activities on issues pertaining to mental health and substance use for dental and dental hygiene students as we have advocated over the years.&lt;/p&gt;
DOI: 10.14288/1.0400759
title: Haploid, diploid, and pooled exome capture recapitulate features of biology and paralogy in two non-model tree species

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Despite their suitability for studying evolution, many conifer species have large and repetitive giga-genomes (16-31Gbp) that create hurdles to producing high coverage SNP datasets that capture diversity from across the entirety of the genome. Due in part to multiple ancient whole genome duplication events, gene family expansion and subsequent evolution within &lt;i&gt;Pinaceae&lt;/i&gt;, false diversity from the misalignment of paralog copies creates further challenges in accurately and reproducibly inferring evolutionary history from sequence data. Here, we leverage the cost-saving benefits of pool-seq and exome-capture to discover SNPs in two conifer species, Douglas-fir (&lt;i&gt;Pseudotsuga menziesii&lt;/i&gt; var. &lt;i&gt;menziesii &lt;/i&gt;(Mirb.) Franco, &lt;i&gt;Pinaceae&lt;/i&gt;) and jack pine (&lt;i&gt;Pinus banksiana&lt;/i&gt; Lamb., &lt;i&gt;Pinaceae&lt;/i&gt;). We show, using minimal baseline filtering, that allele frequencies estimated from pooled individuals show a strong positive correlation with those estimated by sequencing the same population as individuals (r &gt; 0.948), on par with such comparisons made in model organisms. Further, we highlight the utility of haploid megagametophyte tissue for identifying sites that are likely due to misaligned paralogs. Together with additional minor filtering, we show that it is possible to remove many of the loci with large frequency estimate discrepancies between individual and pooled sequencing approaches, improving the correlation further (r &gt; 0.973). Our work addresses bioinformatic challenges in non-model organisms with large and complex genomes, highlights the use of megagametophyte tissue for the identification of paralog sites, and suggests the combination of pool-seq and exome capture to be robust for further evolutionary hypothesis testing in these systems.&lt;/p&gt;
DOI: 10.14288/1.0401207
title: Ethics~Pediatric Sepsis Data CoLab Environmental Scan

description: The purpose of this environmental scan is to support health facilities in identifying and assessing quality improvement (QI) priorities and initiatives to treat children with sepsis. This dataset contains generic protocol and templates, written consent form templates, and verbal consent scripts to assist project teams in the ethics application process.
DOI: 10.14288/1.0401129
title: Bill of materials (BoM) and archetype information for buildings in Canada

description: Significant progress has been made globally in reducing GHG emissions from the operation of buildings, however, huge challenges still remain in mitigating the embodied emissions from the manufacturing, transportation, and disposing of building materials. This is particularly relevant in BC, where electricity is largely generated from renewable sources, indicating limited potential for further reducing GHG emissions from building operations. Therefore, investigating the options to reduce embodied GHG emissions in building materials presents another crucial opportunity to further mitigate the overall GHG emissions from buildings. For example, the City of Vancouver’s newly released Climate Emergency Action Plan has set an ambitious goal of reducing 40% embodied GHG emissions in new buildings compared to the 2018 benchmark. &lt;br&gt; &lt;br&gt; To support decision-making that could ultimately fulfill such an ambitious goal, it is imperative that a standard approach is used to derive benchmark buildings and the corresponding bill-of-materials (BoM). Accordingly, we compiled a BoM dataset of 35 typical buildings in Canada. The data was classified into “whole-building level” and “assembly-level”, and building materials were sorted by an aggregation system (see below) in both classifications. Whole-building-level BoM contains data for 33 buildings, including institutional buildings and residential houses at the University of British Columbia, container-based single-family housing, single-family residential building, precast concrete commercial buildings, etc. On the other hand, assembly-level BoM contains material data for different structural components of one multi-unit apartment and one typical newly-built single-family home in Vancouver. &lt;br&gt; &lt;br&gt; The aggregation system organizes the material data by three tiers - M1, M2, and M3, which offers 3 hierarchical levels of specificity. The first hierarchical level (M1) provides the least specified information while the final level (M3) provides the most detailed information. For example, Aluminum cold-rolled sheet (M3) is categorized within Aluminum (M2) under Metal (M1). This aggregation system offers the flexibility for LCA practitioners to obtain BoM information at the resolution that fits their scope of work.