cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28796129.v6
title: Supplementary Data S2 - DESeq2 result tables of all datasets analyzed along with flag columns for each of the 8 GO terms used throughout the manuscript. Metadata on the GO terms is included in the sheet "GO_metadata".

description: Supplementary Data S2 of the manuscript "<b>Hypoxia leads to reduced mito-nuclear gene expression and to increased mtDNA transcriptional pausing in human cells</b>" by Shtolz et al.DESeq2 "result" output. Main columns:<b>Name:</b> gene symbol<b>baseMean</b>: Mean normalized expression across all samples<b>log2FoldChange</b>: log<sub>2</sub> fold-change between treatment (hypoxia) and control (normoxia).<b>lfcSE</b>: Standard error of the log<sub>2 </sub>fold-change<b>stat</b>: Negative binomial test statistic.<b>p-value</b><b>padj:</b> Benjamin-Hodgkin-adjusted p-value<b>dataset</b>: Name of the dataset<b>cell line</b><b>Complex</b>: Complex association of gene (either complex I, II, III, IV and V of OXPHOS or the mito-ribosome)<b>Genome</b>: Genome of the gene (NUC for nucleus or MT for mitochondrial DNA).<b>ensembl.gene</b>: Ensemble gene ID.Data used to generate Figures 1, 2, 3a-c, 4a, 4b and 4e, and Supplementary Figures S1, S2, S5, S6 and S7.
DOI: 10.48612/msupe/unmz-vg4h-n232
title: Оценка влияния систем искусственного интеллекта на клиническое мышление ветеринарных специалистов

description: Актуальность: Активное внедрение систем поддержки принятия решений (СППР) на основе нейросетей в ветеринарную практику требует комплексного изучения их влияния на профессиональные компетенции специалистов. Особую значимость приобретает оценка долгосрочных эффектов использования искусственного интеллекта в клинической диагностике.

Цель исследования: Оценить влияние длительного использования СППР на основе нейросетей на когнитивные функции и метакогнитивные процессы ветеринарных врачей.

Материалы и методы: Проведено 9-месячное лонгитюдное исследование с участием 120 ветеринарных врачей. Применялись диагностический кейс-тест (DCT), тест скорости распознавания паттернов (PRT), опросник доверия к технологиям (TTS) и шкала метакогнитивной уверенности (MCS). Статистический анализ выполнялся с использованием многофакторного дисперсионного анализа.

Результаты: Установлено статистически значимое снижение точности самостоятельной диагностики в экспериментальной группе с 84% до 71% (p < 0,01). Выявлено снижение метакогнитивной уверенности на 23% и упрощение вербальных протоколов (на 35% меньше диагностических гипотез). Обнаружена отрицательная корреляция между уровнем доверия к ИИ и сохранностью профессиональных навыков (r = -0,67).

Выводы: Длительное использование СППР приводит к снижению самостоятельных диагностических навыков и метакогнитивной уверенности ветеринарных врачей. Необходима разработка сбалансированного подхода к интеграции ИИ, сочетающего технологическую поддержку с сохранением клинического мышления.
DOI: 10.15468/dl.ypxudz
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038552-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3kr34
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Uleiella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038553-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vueq9d
title: Occurrence Download

description: A dataset containing 3428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.54167 -35.97569,15.1024 -35.97569,15.1024 22.01815,-68.54167 22.01815,-68.54167 -35.97569))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tyto alba"
 ]
}

 The dataset includes 3428 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038554-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jt88j7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , Phoebe holosericea, , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038555-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17627697
title: Turli yoshdagi (5-6 va 6-7 yosh) maktabgacha ta'lim yoshidagi bolalarda kognitiv rivojlanishni tashkil etishda o'yin turlarini tanlashning pedagogik asoslari

description: Ushbu maqola turli yoshdagi (5–6 va 6–7 yosh) maktabgacha ta’lim yoshidagi bolalarda kognitiv rivojlanishni samarali tashkil etishda o‘yin turlarini tanlashning pedagogik asoslarini o‘rganishga bag‘ishlangan. Tadqiqotda bolalarning yosh xususiyatlari, ularning aqliy faoliyati va ijtimoiy-ko‘nikmalari hisobga olinadi. Shuningdek, o‘yinlar orqali fikrlash, xotira, e’tibor va ijodiy qobiliyatlarni rivojlantirishning samarali usullari tahlil qilinadi. Maqola maktabgacha ta’lim muassasalari pedagoglari uchun amaliy tavsiyalarni taqdim etadi va o‘yin faoliyati orqali bolalarning kognitiv kompetensiyalarini rivojlantirishda metodik yondashuvlarni belgilaydi.
DOI: 10.5281/zenodo.17627698
title: Turli yoshdagi (5-6 va 6-7 yosh) maktabgacha ta'lim yoshidagi bolalarda kognitiv rivojlanishni tashkil etishda o'yin turlarini tanlashning pedagogik asoslari

description: Ushbu maqola turli yoshdagi (5–6 va 6–7 yosh) maktabgacha ta’lim yoshidagi bolalarda kognitiv rivojlanishni samarali tashkil etishda o‘yin turlarini tanlashning pedagogik asoslarini o‘rganishga bag‘ishlangan. Tadqiqotda bolalarning yosh xususiyatlari, ularning aqliy faoliyati va ijtimoiy-ko‘nikmalari hisobga olinadi. Shuningdek, o‘yinlar orqali fikrlash, xotira, e’tibor va ijodiy qobiliyatlarni rivojlantirishning samarali usullari tahlil qilinadi. Maqola maktabgacha ta’lim muassasalari pedagoglari uchun amaliy tavsiyalarni taqdim etadi va o‘yin faoliyati orqali bolalarning kognitiv kompetensiyalarini rivojlantirishda metodik yondashuvlarni belgilaydi.
DOI: 10.15468/dl.ptrh6b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geminago",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038557-251025141854904/datasets/export for details.
DOI: 10.15468/dl.c68tqf
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wallemia muriae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 550 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038558-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbgggs
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bentinckia condapanna"
 ]
}

 The dataset includes 46 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038559-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkzemy
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bentinckia nicobarica"
 ]
}

 The dataset includes 55 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038560-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yn7kxn
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038561-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17627295
title: Dataset corresponding to the manuscript "Leveraging an explainable machine learning model for early identification of Acute Kidney Injury: A retrospective study".

description: The project was carried out through a collaborative effort between The Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute and The Indian Institute of Technology Bombay. This single-center, retrospective observational study was conducted using inpatient data from the Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute, Mumbai, India. The study covered admissions between January 1 and August 31, 2023, and received approval for public data sharing from the Institutional Ethical Committee (IEC–A Code: 37/2021). All inpatient records included in the analysis were fully anonymized to ensure patient confidentiality.

The dataset comprised admission details, diagnoses, vitals, comorbidities, clinical findings, with AKI-related biochemical and hematological features selected through literature review and clinician consensus. Rate-of-change features were computed using admission values and the serum creatinine alert point for AKI patients or the discharge value for non-AKI patients.
DOI: 10.5281/zenodo.17627296
title: Dataset corresponding to the manuscript "Leveraging an explainable machine learning model for early identification of Acute Kidney Injury: A retrospective study".

description: The project was carried out through a collaborative effort between The Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute and The Indian Institute of Technology Bombay. This single-center, retrospective observational study was conducted using inpatient data from the Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute, Mumbai, India. The study covered admissions between January 1 and August 31, 2023, and received approval for public data sharing from the Institutional Ethical Committee (IEC–A Code: 37/2021). All inpatient records included in the analysis were fully anonymized to ensure patient confidentiality.

The dataset comprised admission details, diagnoses, vitals, comorbidities, clinical findings, with AKI-related biochemical and hematological features selected through literature review and clinician consensus. Rate-of-change features were computed using admission values and the serum creatinine alert point for AKI patients or the discharge value for non-AKI patients.
DOI: 10.15468/dl.xydcp4
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heterotolyposporium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038562-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.16658.72641
title: Colorado beetle larva under 450nm laser pecker 2 laser
DOI: 10.15468/dl.swkcry
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , Phoebe javanica, , , , , Phoebe opaca, , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038563-251025141854904/datasets/export for details.
DOI: 10.15468/dl.sfsvq5
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038564-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvzn9a
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kuntzeomyces",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038565-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5tszz
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wallemia muriae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 550 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038568-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4afz9
title: Occurrence Download

description: A dataset containing 788 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium calceolus pubescens"
 ]
}

 The dataset includes 788 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038569-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/5227
title: synthetic_dialogues
DOI: 10.14288/1.0443035
title: Using LiDAR to characterize urban forest structure and composition and locate hotspots based on derived individual tree attributes

description: This study provides urban forest tree inventories for the University Endowment Lands, Pacific Spirit Regional Park, Musqueam First Nation, and Southlands of British Columbia for 2015 and 2021. It describes urban forest structure and composition based on LiDAR-derived urban forest attributes including tree count, maximum height (zmax), crown area, and species type (coniferous/broadleaf). Hotspot analyses revealed spatially biased distributions of hot and cold spots, indicating heterogeneous urban forest structure and composition across the study area. Hot spots characterized by taller coniferous trees and higher mean crown areas were found across coastal, park & forest, or residential zones. Cold spots characterized by shorter trees and smaller mean crown areas were found in zones with more infrastructure. Overall, forest attributes differed between species type and inventory-year. Results suggest that anthropogenic drivers, such as urban development and land-use change, interact variably with tree attributes to influence the structure, composition, and distribution pattern of urban forests. The study highlights the applicability of using LiDAR-derived urban forest inventories to prioritize conservation and management strategies at the local level. By understanding the complex interactions between urban forest attributes and change drivers, communities can optimize green space utilization, sustainability, and equality within urban forest ecosystems.
DOI: 10.14288/1.0440632
title: Data from: Evaluating genotyping-in-thousands by sequencing as a genetic monitoring tool for a climate sentinel mammal using non-invasive and archival samples

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Genetic tools for wildlife monitoring can provide valuable information on spatiotemporal population trends and connectivity, particularly in systems experiencing rapid environmental change. Though many DNA sequencing approaches still require high quality and quantity of DNA obtained from traditional sources (e.g. blood and tissue), rapid genotyping tools such as Genotyping-in-Thousands by sequencing (GT-seq) have improved our ability to make use of degraded and less concentrated DNA commonly obtained from non-invasive and archival samples. Here, we developed a multi-purpose GT-seq panel (307 single nucleotide polymorphisms) for a climate sentinel mammal (the American pika, &lt;em&gt;Ochotona princeps&lt;/em&gt;) for use as a genetic tool for monitoring populations in the Canadian Rocky Mountains. We optimized the panel using contemporary tissue samples (n = 77) and subsequently applied it to archival tissue (n = 17) and contemporary fecal pellet samples (n = 129) to evaluate its effectiveness at identifying individuals and sex, estimating relatedness, and inferring population structure. The panel demonstrated high efficacy with contemporary and archival tissue samples (94.7% and 90.5% genotyping success, respectively) and negligible genotyping error (0.001% and 0.0%, respectively). Despite relatively high genotyping success for fecal pellet samples (79.7%), high genotyping error (28.4%) limited its power as a monitoring tool to assess genetic variation using non-invasive samples and highlighted the need for further optimization around sample and data collection.&lt;/p&gt;
DOI: 10.14288/1.0440634
title: Data from: Phylogenomics of American pika (Ochotona princeps) lineage diversification

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Quaternary climate oscillations have profoundly influenced current species distributions. For many montane species, these fluctuations were a prominent driver in species range shifts, often resulting in intraspecific diversification, as has been the case for American pikas (&lt;em&gt;Ochotona princeps&lt;/em&gt;). Range shifts and population declines in this thermally-sensitive lagomorph have been linked to historical and contemporary environmental changes across its western North American range, with previous research reconstructing five mitochondrial DNA lineages. Here, we paired genome-wide data (25,244 SNPs) with range-wide sampling to re-examine the number and distribution of intra-specific lineages, and investigate patterns of within- and among-lineage divergence and diversity. Our results provide genomic evidence of &lt;em&gt;O. princeps&lt;/em&gt; monophyly, reconstructing six distinct lineages that underwent multiple rounds of divergence (0.809-2.81mya), including a new Central Rocky Mountain lineage. We further found evidence for population differentiation across multiple spatial scales, and reconstructed levels of standing variation comparable to those found in other small mammals. Overall, our findings demonstrate the influence of past glacial cycles on &lt;em&gt;O. princeps&lt;/em&gt; lineage diversification, suggest that current subspecific taxonomy may need to be revisited, and provide an important framework for investigations of American pika adaptive potential in the face of anthropogenic climate change.&lt;/p&gt;
DOI: 10.14288/1.0440633
title: Data from: Variation in genomic vulnerability to climate change across temperate populations of eelgrass (Zostera marina)

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;A global decline in seagrass populations has led to renewed calls for their conservation as important providers of biogenic and foraging habitat, shoreline stabilisation, and carbon storage. Eelgrass (Zostera marina) occupies the largest geographic range among seagrass species spanning a commensurately broad spectrum of environmental conditions. In Canada, eelgrass is managed as a single phylogroup despite occurring across three oceans and a range of ocean temperatures and salinity gradients. Previous research has focused on applying relatively few markers to reveal population structure of eelgrass, whereas a whole genome approach is warranted to investigate cryptic structure among populations inhabiting different ocean basins and localized environmental conditions. We used a pooled whole-genome re-sequencing approach to characterise population structure, gene flow, and environmental associations of 23 eelgrass populations ranging from the Northeast United States, to Atlantic, subarctic, and Pacific Canada. We identified over 500,000 SNPs, which when mapped to a chromosome-level genome assembly revealed six broad clades of eelgrass across the study area, with pairwise FST ranging from 0 among neighbouring populations to 0.54 between Pacific and Atlantic coasts. Genetic diversity was highest in the Pacific and lowest in the subarctic, consistent with colonisation of the Arctic and Atlantic oceans from the Pacific less than 300 kya. Using redundancy analyses and two climate change projection scenarios, we found that subarctic populations are predicted to be more vulnerable to climate change through genomic offset predictions. Conservation planning in Canada should thus ensure that representative populations from each identified clade are included within a national network so that latent genetic diversity is protected, and gene flow is maintained. Northern populations, in particular, may require additional mitigation measures given their potential susceptibility to a rapidly changing climate.&lt;/p&gt;