cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5asutt
title: Occurrence Download

description: A dataset containing 450667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Digitalis L."
 ]
}

 The dataset includes 450667 records from 1951 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011143-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15396770
title: (Obsolete) Tuni2025 Datasets - Galileo 5 Spoofer Static No-Multipath True Position Measurement

description: Please refer to the updated version at DOI 10.5281/zenodo.15470142
DOI: 10.5281/zenodo.15396771
title: (Obsolete) Tuni2025 Datasets - Galileo 5 Spoofer Static No-Multipath True Position Measurement

description: Please refer to the updated version at DOI 10.5281/zenodo.15470142
DOI: 10.15468/dl.s8xxv8
title: Occurrence Download

description: A dataset containing 5317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Milicia excelsa (Welw.) C.C.Berg"
 ]
}

 The dataset includes 5317 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014740-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yexwzw
title: Occurrence Download

description: A dataset containing 956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dracocephalum moldavica"
 ]
}

 The dataset includes 956 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010663-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dd8qr2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobio gobio",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1820",
 "Year is less than or equal to 1824"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010664-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18251775
title: Carex sellowiana Schltdl. 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 16:44
DOI: 10.5281/zenodo.18251776
title: Carex sellowiana Schltdl. 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 16:44
DOI: 10.57760/sciencedb.ecodb.00264
title: A dataset of carbon and water fluxes of the forest ecosystem at Jiangfengling Station from 2016 to 2017
title: 2016-2017年尖峰岭森林生态系统碳水通量观测数据集

description: This dataset includes the flux observation data of Jianfengling forest ecosystem from 2016 to 2017. The collection site of raw observation data is located at the Jianfengling National Forest Ecological Station, which represents a typical ecosystem type of tropical mountain rainforest. We processed the raw data based on the ChinaFLUX data processing standards to produce this standardized dataset of ecosystem carbon and water fluxes and key meteorological elements. In this dataset, the annual data consists of 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY). 
description: This dataset includes the flux observation data of Jianfengling forest ecosystem from 2016 to 2017. The collection site of raw observation data is located at the Jianfengling National Forest Ecological Station, which represents a typical ecosystem type of tropical mountain rainforest. We processed the raw data based on the ChinaFLUX data processing standards to produce this standardized dataset of ecosystem carbon and water fluxes and key meteorological elements. In this dataset, the annual data consists of 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY).
DOI: 10.15468/dl.z6jpjx
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.44.85_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 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010665-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18237937
title: CARE checklist for: [An Unusual Case of Idiopathic Pulmonary Hemosiderosis in a School Aged Nepali Girl]

description: This file contains the completed CARE checklist for the case report titled“[An Unusual Case of Idiopathic Pulmonary Hemosiderosis in a School Aged Nepali Girl]”, submitted to Wellcome Open Research.
DOI: 10.15468/dl.8qy6mf
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carphodactylus laevis"
 ]
}

 The dataset includes 364 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010666-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5seebx
title: Occurrence Download

description: A dataset containing 30239592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "Year 1990-2026"
 ]
}

 The dataset includes 30239592 records from 2909 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010638-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hwxhv
title: Occurrence Download

description: A dataset containing 480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corvus cryptoleucus Couch, 1854",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to September",
 "EventDate is not null",
 "Country is United States of America",
 "Geometry POLYGON((-63 22, -63 51, -126 51, -126 22, -63 22))"
 ]
}

 The dataset includes 480 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011045-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14288/1.0433561
title: The effects of plant diversity and origin on abundance and diversity of syrphid flies (Diptera: Syrphidae) in small urban gardens

description: Gardens have emerged as a key habitat resource for pollinators in cities, but more research is needed to determine the optimal garden characteristics for maximizing native pollinator diversity. Syrphid flies (Diptera: Syrphidae) are abundant generalist fly pollinators that have received less study than other pollinators in urban gardens. In this study, we investigated whether flowering plant diversity and the presence of native plants were related to syrphid abundance and diversity in urban street gardens. Over a 2-month period, we sampled 12 small public gardens in a residential urban area to explore correlations between plant and syrphid assemblages. Though syrphid abundance and richness varied among gardens, neither floral richness nor the presence of native flowers was correlated with syrphid abundance or diversity. Beyond plant diversity and origin, other characteristics may be more important to syrphid visitation at the garden scale. Better understanding the role of garden characteristics among the complex factors shaping urban syrphid assemblages will offer valuable insights for the improvement of pollinator conservation strategies
DOI: 10.14288/1.0436907
title: Four steps to strengthen connectivity modelling

description: Data and script associated with the manuscript "Four steps to strengthen connectivity modelling". &lt;b&gt;access at &lt;a href="https://osf.io/jfy35/"&gt;https://osf.io/jfy35/&lt;/a&gt;&lt;/b&gt;
DOI: 10.14288/1.0439800
title: Data from: Human presence and infrastructure impact wildlife nocturnality differently across an assemblage of mammalian species

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Wildlife species may shift towards more nocturnal behavior in areas of higher human influence, but it is unclear how consistent this shift might be. We investigated how humans impact large mammal diel activities in a heavily recreated protected area and an adjacent university-managed forest in southwest British Columbia, Canada. We used camera trap detections of humans and wildlife, along with data on land-use infrastructure (e.g., recreation trails and restricted-access roads), in Bayesian regression models to investigate impacts of human disturbance on wildlife nocturnality. We found moderate evidence that black bears (&lt;em&gt;Ursus americanus&lt;/em&gt;) were more nocturnal in response to human detections (mean posterior estimate = 0.35, 90% credible interval = 0.04 to 0.65), but no other clear relationships between wildlife nocturnality and human detections. However, we found evidence that coyotes (&lt;em&gt;Canis latrans&lt;/em&gt;) (estimates = 0.81, 95% CI = 0.46 to 1.17) were more nocturnal and snowshoe hares (&lt;em&gt;Lepus americanus&lt;/em&gt;) (estimate = -0.87, 95% CI = -1.29 to -0.46) were less nocturnal in areas of higher trail density. We also found that coyotes (estimate = -0.87, 95% CI = -1.29 to -0.46) and cougars (&lt;em&gt;Puma concolor&lt;/em&gt;) (estimate = -1.14, 90% CI = -2.16 to -0.12) were less nocturnal in areas of greater road density. Furthermore, coyotes, black-tailed deer (&lt;em&gt;Odocoileus hemionus&lt;/em&gt;), and snowshoe hares were moderately more nocturnal in areas near urban-wildland boundaries (estimates and 90% CIs: coyote = -0.29, -0.55 to -0.04, black-tailed deer = -0.25, -0.45 to -0.04, snowshoe hare = -0.24, -0.46 to -0.01). Our findings imply anthropogenic landscape features may influence medium to large-sized mammal diel activities more than direct human presence. While increased nocturnality may be a promising mechanism for human-wildlife coexistence, shifts in temporal activity can also have negative repercussions for wildlife, warranting further research into the causes and consequences of wildlife responses to increasingly human-dominated landscapes.&lt;/p&gt;
DOI: 10.14288/1.0433718
title: Data Challenges: 2024 Pediatric Sepsis Challenge

description: &lt;p&gt;&lt;br /&gt;&lt;strong&gt;Objective(s):&lt;/strong&gt; The 2024 Pediatric Sepsis Data Challenge provides an opportunity to address the lack of appropriate mortality prediction models for LMICs. For this challenge, we are asking participants to develop a working, open-source algorithm to predict in-hospital mortality and length of stay using only the provided synthetic dataset. &lt;br&gt; &lt;br&gt; The original data used to generate the real-world data (RWD) informed synthetic training set available to participants was obtained from a prospective, multisite, observational cohort study of children with suspected sepsis aged 6 months to 60 months at the time of admission to hospitals in Uganda. For this challenge, we have created a RWD-informed synthetically generated training data set to reduce the risk of re-identification in this highly vulnerable population. The synthetic training set was generated from a random subset of the original data (full dataset A) of 2686 records (70% of the total dataset - training dataset B). All challenge solutions will be evaluated against the remaining 1235 records (30% of the total dataset - test dataset C). &lt;br&gt; &lt;br /&gt;&lt;strong&gt;Data Description:&lt;/strong&gt; Report describing the comparison of univariate and bivariate distributions between the Synthetic Dataset and Test Dataset C. Additionally, a report showing the maximum mean discrepancy (MMD) and Kullback–Leibler (KL) divergence statistics. Data dictionary for the synthetic training dataset containing 148 variables.
DOI: 10.14288/1.0434236
title: Datasets for 'Picturing local adaptation: spectral and structural traits from drone remote sensing reveal clinal responses to climate transfer in common-garden trials of interior spruce (Picea engelmannii x glauca)'

description: &lt;p&gt;Datasets “PCA_sites_seedlots” contain climateNA variables and principal component values for each test site and provenance in the datasat; these data are presented in Fig. 1.&lt;/p&gt; &lt;p&gt;Datasets “blups_correlations” contain best linear unbiased predictions (BLUPs) for each trait for each population, populationtransfer distances along principal components, and trait correlations with positive and negative transfer distances; these data are presented in Figs. 5 and 6.&lt;/p&gt; &lt;p&gt;Datasets “model_cross_validation” contain ground-measured BLUPs for height and DBH and model predictions for these traits from the selected models from site- and population-wise cross validations; these data are presented in Figs. 7, 8, S6, and S7.&lt;/p&gt;
DOI: 10.14288/1.0433735
title: Demographic and psychometric predictors associated with engagement in risk-associated alternative healthcare behaviours

description: This dataset arises from a project using a survey to explore the use of risk-associated alternative healthcare (RAAH) in Canada. RAAH uptake was surveyed to explore the characteristics of adult RAAH users and the value of established psychometric instruments previously used in alternative healthcare studies in predicting RAAH behaviours: the Control Beliefs Inventory (CBI), the Reward Responsiveness Behavioural Activation System (RBAS) scale, the Positive Attitudes to Science (PAS) scale, the Satisfaction with Orthodox Medicine (SOM) scale, and the brief version of the Susceptibility to Persuasion-II (StP-II-B) scale.
DOI: 10.14288/1.0437575
title: Smart Discharges for Mom & Baby 1.0: Targeted follow-up after facility delivery with accurate predictions of neonatal and maternal morbidity or mortality

description: &lt;br/&gt;&lt;strong&gt;Background:&lt;/strong&gt; The first six weeks following delivery bear the most significant and persistent burden of under-5 and maternal death, and severe neonatal and maternal morbidity. Efforts are currently underway to improve outcomes immediately following births at health facilities for both mothers and newborns. However, care following facility discharge presents significant challenges and accounts for a high proportion of maternal and neonatal death and morbidity. The objective of this study is to develop a clinical risk prediction model using maternal and infant characteristics collected at the time of hospital discharge following a facility delivery to predict maternal or neonatal death or major morbidity within six weeks of birth. A secondary objective is to characterize the epidemiology of post-discharge mortality and morbidity for women and their infants after facility delivery. &lt;br/&gt; &lt;br /&gt;&lt;strong&gt;Methods:&lt;/strong&gt; We will recruit a cohort of 3200 maternal and infant pairs after delivery at Mbarara Regional Referral Hospital to develop the risk model. This study involves prospective recruitment and data collection prior to discharge and final follow-up at six weeks postpartum for both mom and baby. Initial data collection will be completed by study research nurses as a prospective chart review and time of discharge patient assessment. Data collection will include maternal socio-demographics variables, clinical condition during admission, details of delivery and co-morbid conditions and maternal and infant vital signs at hospital discharge. Six-week follow up will be completed in person at the facility or through telephone follow-up to capture any maternal or infant adverse outcomes, including details of any re-admission to hospital, occurring after the initial discharge.&lt;br /&gt; &lt;br /&gt;&lt;strong&gt;Ethics Declaration:&lt;/strong&gt; Institutional review boards at the University of British Columbia (H18-02523), the Mbarara University of Science and Technology (14/09-18), and the Uganda National Council for Science and Technology (SS 4853) approved the study.&lt;br /&gt;
DOI: 10.14288/1.0419376
title: Social Acceptance of Genetic Engineering Technology

description: Genetic engineering of animals has been proposed to address societal problems, but public acceptance of the use of this technology is unclear. Previous work has shown that the source of information proposing the technology (e.g. companies, universities), the term used to describe the technology (e.g. genome editing, genetic modification), and the genetic engineering application (e.g. different food products) affects technology acceptance. We conducted three mixed-method surveys and used a causal trust-acceptability model to understand social acceptance of genetic engineering (GE) by investigating 1) the source of information proposing the technology, 2) the term used to describe the technology, and 3) the GE application for farm animals proposed. Quantitative analysis showed that the source of information and technology term had little to no effect on social acceptance. Further, participants expressed their understanding of technology using a range of terms interchangeably, all describing technology used to change an organism’s DNA. Applications involving animals were perceived as less beneficial than a plant application, and an application for increased cattle muscle growth was perceived as more risky than a plant application. We used structural equation modelling and confirmed model fit for each survey. In each survey, perceptions of benefit had the greatest effect on acceptance. Following our hypothesized model, social trust had an indirect influence on acceptance through similar effects of perceived benefit and risk. When assessing the acceptability of applications participants considered impacts on plants, animals, and people, trust in actors and technologies, and weighed benefits and drawbacks of GE. Future work should consider how to best measure acceptability of GE for animals, consider contextual factors and consider the use of inductive frameworks.
DOI: 10.14288/1.0433724
title: Implementing the triage bundle of care at Nkwen District Hospital in Cameroon

description: &lt;strong&gt;Objective(s):&lt;/strong&gt;The purpose of this project is to improve the triage process through waiting time reduction and timely identification of patients at the Emergency Room.&lt;br /&gt; &lt;br /&gt;&lt;strong&gt;Data Description:&lt;/strong&gt; This dataset includes resources developed for a quality improvement intervention to improve triage care at Nkwen District Hospital in Cameroon.&lt;br /&gt;
DOI: 10.14288/1.0444157
title: Prediction models for post-discharge mortality among under-five children with suspected sepsis in Uganda: A multicohort analysis

description: &lt;br/&gt;&lt;strong&gt;Background:&lt;/strong&gt; In many low-income countries, over five percent of hospitalized children die following hospital discharge. The lack of available tools to identify those at risk of post-discharge mortality has limited the ability to make progress towards improving outcomes. We aimed to develop algorithms designed to predict post-discharge mortality among children admitted with suspected sepsis.&lt;br /&gt; &lt;br /&gt;&lt;strong&gt;Methods:&lt;/strong&gt; Four prospective cohort studies of children in two age groups (0–6 and 6–60 months) were conducted between 2012–2021 in six Ugandan hospitals. Prediction models were derived for six-months post-discharge mortality, based on candidate predictors collected at admission, each with a maximum of eight variables, and internally validated using 10-fold cross-validation.&lt;br /&gt; &lt;br /&gt;&lt;strong&gt;Findings:&lt;/strong&gt; 8,810 children were enrolled: 470 (5.3%) died in hospital; 257 (7.7%) and 233 (4.8%) post-discharge deaths occurred in the 0-6-month and 6-60-month age groups, respectively. The primary models had an area under the receiver operating characteristic curve (AUROC) of 0.77 (95%CI 0.74–0.80) for 0-6-month-olds and 0.75 (95%CI 0.72–0.79) for 6-60-month-olds; mean AUROCs among the 10 cross-validation folds were 0.75 and 0.73, respectively. Calibration across risk strata was good: Brier scores were 0.07 and 0.04, respectively. The most important variables included anthropometry and oxygen saturation. Additional variables included: illness duration, jaundice-age interaction, and a bulging fontanelle among 0-6-month-olds; and prior admissions, coma score, temperature, age-respiratory rate interaction, and HIV status among 6-60-month-olds.&lt;br /&gt; &lt;br /&gt;&lt;strong&gt;Data Processing Methods:&lt;/strong&gt; The post-processed data files were created using R version 4.2.2. (R Foundation for Statistical Computing, Vienna, Austria) and briefly involved renaming columns from the different datasets so that they are consistent, converting categories coded as “unknown”, “don’t know”, or “missing” to NA, creating new columns, calculating z-scored variables, and converting relevant columns to factors or dates. &lt;br /&gt; &lt;br /&gt;&lt;strong&gt;Ethics Declaration:&lt;/strong&gt; These studies were approved by the Mbarara University of Science and Technology (No. 15/10-16), the Uganda National Council for Science and Technology (HS 2207), and the University of British Columbia (H16-02679).&lt;br /&gt;