cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18776068
title: THE EVOLUTION OF THE CONCEPT OF HAPPINESS IN PHILOSOPHY

description: The concept of happiness has occupied a central position in philosophical inquiry since antiquity. Different philosophical traditions have interpreted happiness in various ways, linking it to virtue, pleasure, reason, or personal fulfillment. This article analyzes the historical evolution of the concept of happiness from ancient Greek philosophy to modern ethical theories. Through comparative philosophical analysis, the study examines how understandings of happiness have transformed across different intellectual periods. The findings indicate that although definitions of happiness vary, the concept consistently reflects the human search for meaning and well-being. The evolution of this concept demonstrates the dynamic relationship between ethics, culture, and human nature.
DOI: 10.15468/dl.39qbu2
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leucheria daucifolia"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000650-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umyjvc
title: Occurrence Download

description: A dataset containing 36335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orcinus orca)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36335 records from 385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000649-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxs9gd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Stolothrissa tanganicae"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000651-260225131425191/datasets/export for details.
DOI: 10.20383/103.0887
title: Numerical Modelling of Milne Fiord 2011-2019

description: This dataset contains the setup of a three dimensional numerical model of Milne Fiord (Nunavut, Canada) built using MITgcm. It also contains the input and output of the model. The model was run from May 2011 to September 2019. For more details, see Bonneau, J., Laval, B. E., Mueller, D., Hamilton, A. K. and Forrest, A. L. 2024. Unsteady Circulation in a Glacial Fjord: a Multiyear Modelling Study of Milne Fiord. Journal of Geophysical Research: Oceans.
DOI: 10.20383/103.0892
title: Utikuma Region Alberta High Resolution Lidar-Multispectral Peatland and Ecotone Classification

description: This includes high spatial resolution shape files of a wetland-peatland classification derived using multi-spectral WorldView-2 and lidar data of wetland class and peatland class and form for an area north of Utikuma Lake, Alberta Canada. The classification is based on a decision-tree classifier (Chasmer et al. 2016) with greater than 80% accuracy. Wetlands were identified in the original classification and separated into wetland class (bog, fen, marsh, swamp) and form (for peatlands only: open, shrub, treed). Peatland form was determined based on the density of tree/shrub data from lidar, topographic variability, and shape. A ecotonal classification (raster files) are also included as derived in Jones et al. (2024) based on lidar data.
DOI: 10.20383/103.0895
title: X-ray absorption spectroscopy and X-ray diffraction data for arsenic minerals and compounds: Datasets and Supplementary Materials

description: A dataset including X-ray absorption (XAS) and X-ray diffraction (XRD) data for 26 common and rare arsenic minerals and compounds.
DOI: 10.20383/103.0919
title: Heat exposure limits pentose phosphate pathway activity in bumble bees

description: Bumble bee populations across the globe are experiencing substantial declines due to climate change, with major consequences for pollination services in both natural and agricultural settings. Using an economically-important species, Bombus impatiens, we explored the physiological mechanisms that may cause susceptibility to extreme heat events. We tested the hypothesis that heat exposure limits the activity of the pentose phosphate pathway (PPP) – a parallel pathway to glycolysis that can use nectar sugar to generate antioxidant potential and combat oxidative stress. Using isotopically-labeled glucose, we tracked PPP activity in B. impatiens at rest, during exercise, and during a post-exercise recovery period under two different temperature regimes (22ºC and 32ºC). We found that the PPP is routinely used by B. impatiens at moderate temperatures, but that its activity is markedly reduced when ATP demands are high, such as during periods of exercise and heat exposure. We also exposed B. impatiens to either 22ºC or 32ºC for 5 hours and assessed levels of oxidative damage (lipid peroxidation, protein carbonyls) and antioxidant potential (reduced (GSH) and oxidized (GSSG) glutathione concentrations). Interestingly, bees exhibited little oxidative damage after the thermal exposure, but we found a lower GSH:GSSG ratio in 32ºC-exposed bees, reflecting lower antioxidant potential. Overall, our study demonstrates that acute heat stress severely limits PPP activity and may constrain antioxidant potential in B. impatiens. The repeated attenuation of this pathway in a warming climate may have more severe physiological consequences for this species, with potential implications for pollination services across North America.
DOI: 10.20383/103.0843
title: 4D confocal microscopy of time dependent cell and nuclear osmotic response reveals differential osmoregulation and transport kinetics

description: We investigated the equilibrium and dynamic cell and nuclear volumetric responses in adherent human hepatoblastoma (HepG2) cell monolayers using live three-dimensional imaging. We have further demonstrated that both cells and nuclei regulate their volume in response to osmotic stress. For instance, during hyposmotic stress, cells swell and lose important osmolytes through active volume regulation or bleb formation, however, nuclei undergo more expansion than cells. Whereas during hyperosmotic stress, both cells and nuclei shrink rapidly into irregular shapes and undergo passive volume regulation. Furthermore, we explored the mechanism of osmoregulation in these cells by restoring isosmotic conditions after osmotic stress and found a higher return-to-equilibrium volume for nuclei compared to their initial isosmotic volume, while cytosol returned to a lower volume than its isosmotic volume after swelling. Moreover, water and solute permeability estimates for both cells and nuclei were also inferred from exposure to different anisosmotic media by fitting coupled transport models. This accurate estimation of cell and nuclear volumetric responses and water and solute permeability parameters could have important implications for understanding cell physiology and the mechanism of osmoregulation.
DOI: 10.20383/103.0844
title: Waterton Lakes National Park ELC Vegetation Plot Resurvey Data

description: This dataset includes data from 98 vegetation plots in Waterton Lakes National Park, Alberta, Canada. Parks Canada researchers surveyed over 300 vegetation plots in the mid- to late-1990s as part of the Ecological Land Classification (ELC) project. In 2019 and 2020, MSc student Jed Lloren and field assistants re-located and re-surveyed 98 of these plots. For each of these 98 plots, we have (1) data on the presence and estimated percent cover of all vascular plant species in the first survey in the 1990s, and in the second survey in 2019/2020; (2) data on environmental conditions at each plot, for example elevation and aspect; (3) data on the characteristics of each species, for example whether it is native or exotic and its maximum height. The purpose of the research was to quantify changes in plant community diversity and composition that have occurred between the two surveys. In particular, we aimed to assess the effect of a major wildfire that burned a large portion of Waterton Lakes National Park in 2017. The data form the basis for Jed Lloren's MSc thesis and subsequent publications.
DOI: 10.20383/103.01050
title: Soil respiration measurements at Beverly Swamp in Southern Ontario

description: This soil respiration (CO2 flux) data was collected as part of Megan Schmidt’s on-going PhD Program at the Faculty of Environment, University of Waterloo under the supervision of Professor Maria Strack. The purpose of the research is to improve our estimates of carbon fluxes and pools in temperate swamps towards assessing the contributions of this ecosystem to regional peatland carbon cycle. In particular, bi-weekly soil respiration was measured from 3 plots that were installed along a transect in the Fletcher segment of Beverly swamp (43.366N, 80.12W) in Hamilton from June 17, 2022 to October 02, 2023. The measurement was completed with closed opaque chamber (24 cm x 20cm ) approach and directly analyzed with LI-COR portable greenhouse gas analyzer (L1-7810). Soil respiration rate at this site ranged from 0 to 29 gCm-2day-1 depending on the time of the year, with peak values in summer and the lowest in winter. This dataset is expected to support peatland carbon flux inventories in the temperate region of Canada and can also be used for validating carbon flux estimate of ecological models in the area.
DOI: 10.20383/103.01084
title: Adver-City Dataset

description: Adverse weather conditions pose a significant challenge to the widespread adoption of Autonomous Vehicles (AVs) by impacting sensors like LiDARs and cameras. Even though Collaborative Perception (CP) improves AV perception in difficult conditions, existing CP datasets lack adverse weather conditions. To address this, we introduce Adver-City, the first open-source synthetic CP dataset focused on adverse weather conditions. Simulated in CARLA with OpenCDA, it contains over 24 thousand frames, over 890 thousand annotations, and 110 unique scenarios across six different weather conditions: clear weather, soft rain, heavy rain, fog, foggy heavy rain and, for the first time in a synthetic CP dataset, glare. It has six object categories including pedestrians and cyclists, and uses data from vehicles and roadside units featuring LiDARs, RGB and semantic segmentation cameras, GNSS, and IMUs. Its scenarios, based on real crash reports, depict the most relevant road configurations for adverse weather and poor visibility conditions, varying in object density, with both dense and sparse scenes, allowing for novel testing conditions of CP models. Benchmarks run on the dataset show that weather conditions created challenging conditions for perception models, reducing multi-modal object detection performance by up to 19%, while object density affected LiDAR-based detection by up to 29%. The code and documentation are available at https://labs.cs.queensu.ca/quarrg/datasets/adver-city/.
DOI: 10.15468/dl.cnpu9c
title: Occurrence Download

description: A dataset containing 253995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culex pipiens"
 ]
}

 The dataset includes 253995 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000555-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-8dtb-9k68
title: Public Health Disaster Research Award Program Evaluation Questionnaire, in Public Health Disaster Research Award Program Evaluation

description: This survey instrument was administered to evaluate the impact of the Public Health Disaster Research Award Program. It includes closed- and open-ended questions about the following topics: (1) the skills, knowledge, and connections that research team members acquired during the award period; (2) the publications, grant proposals, educational materials, and/or traineeships that team members developed post-award using research findings; (3) the collaborations with community partners, public health departments, and other hazards and disasters scholars or practitioners that team members built post-award; and (4) how team members applied their research findings to practice by developing new public health tools or promoting changes to public health policies or programs.
description: In 2020, the Natural Hazards Center—with funding from the Centers for Disease Control and Prevention and the National Science Foundation—established the Public Health Disaster Research Award Program. In 2020 and 2021, as part of the newly established program, the Natural Hazards Center issued two special calls for research on public health preparedness, response, and resilience in the U.S. territories. The Center ultimately awarded $1,111,452.10 to 97 researchers, representing 26 research teams and 57 institutions. In 2023, researchers at the Natural Hazards Center designed a questionnaire and conducted an evaluation to assess if the award program was meeting its four objectives: (1) train a diverse public health workforce; (2) advance public health disaster research; (3) build equitable collaborations; and (4) translate research to practice. The final questionnaire was administered to the lead investigator of each project in April of 2023 via the Qualtrics online survey platform. The questionnaire, which is published as part of this DesignSafe project, includes closed- and open-ended questions about the following topics: (1) the skills, knowledge, and connections that research team members acquired during the award period; (2) the publications, grant proposals, educational materials, and/or traineeships that team members developed post-award using research findings; (3) the collaborations with community partners, public health departments, and other hazards and disasters scholars or practitioners that team members built post-award; and (4) how team members applied their research findings to practice by developing new public health tools or promoting changes to public health policies or programs. Of the 26 projects funded as part of Special Calls 1 and 2, 23 lead investigators submitted responses between April 6 and 27, 2023 (88.5% response rate). A summary of the evaluation findings is included in the Evaluation Report that is published as part of this project.
DOI: 10.20383/103.01160
title: Caribou pipeline for the alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning

description: This dataset contains sequencing data used to train the models of the Caribou pipeline. We developed this pipeline for alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning. The datasets were derived from the GTDB v.202 database (https://data.gtdb.ecogenomic.org/releases/release202/202.0/) and include training steps using the species representatives, as the benchmark datasets used non-representative whole genomes. We also simulated sequencing reads to evaluate and compare performance on whole genomes and sequencing reads. We provide models and encoding files of CNN-trained models; datasets used for training, validation and testing of models, randomly sampled from representative genomes; and datasets used for benchmarking the method against state-of-the-art methods, randomly sampled from non-representative whole genomes and simulated reads.
DOI: 10.17603/ds2-wjf8-8b13
title: Public Health Disaster Research Award Program Evaluation Survey Invitation, in Public Health Disaster Research Award Program Evaluation

description: This survey invitation was emailed to lead investigators of the Public Health Disaster Research Award Program's Special Call 1: Research in U.S. Territories and Special Call 2: Strengthening Community Resilience in U.S. Territories in April of 2023.
description: In 2020, the Natural Hazards Center—with funding from the Centers for Disease Control and Prevention and the National Science Foundation—established the Public Health Disaster Research Award Program. In 2020 and 2021, as part of the newly established program, the Natural Hazards Center issued two special calls for research on public health preparedness, response, and resilience in the U.S. territories. The Center ultimately awarded $1,111,452.10 to 97 researchers, representing 26 research teams and 57 institutions. In 2023, researchers at the Natural Hazards Center designed a questionnaire and conducted an evaluation to assess if the award program was meeting its four objectives: (1) train a diverse public health workforce; (2) advance public health disaster research; (3) build equitable collaborations; and (4) translate research to practice. The final questionnaire was administered to the lead investigator of each project in April of 2023 via the Qualtrics online survey platform. The questionnaire, which is published as part of this DesignSafe project, includes closed- and open-ended questions about the following topics: (1) the skills, knowledge, and connections that research team members acquired during the award period; (2) the publications, grant proposals, educational materials, and/or traineeships that team members developed post-award using research findings; (3) the collaborations with community partners, public health departments, and other hazards and disasters scholars or practitioners that team members built post-award; and (4) how team members applied their research findings to practice by developing new public health tools or promoting changes to public health policies or programs. Of the 26 projects funded as part of Special Calls 1 and 2, 23 lead investigators submitted responses between April 6 and 27, 2023 (88.5% response rate). A summary of the evaluation findings is included in the Evaluation Report that is published as part of this project.
DOI: 10.17603/ds2-ana0-kf03
title: Public Health Disaster Research Award Program Evaluation Survey Data, in Public Health Disaster Research Award Program Evaluation

description: This file includes de-identified survey data from the Public Health Disaster Research Award Program evaluation.
description: In 2020, the Natural Hazards Center—with funding from the Centers for Disease Control and Prevention and the National Science Foundation—established the Public Health Disaster Research Award Program. In 2020 and 2021, as part of the newly established program, the Natural Hazards Center issued two special calls for research on public health preparedness, response, and resilience in the U.S. territories. The Center ultimately awarded $1,111,452.10 to 97 researchers, representing 26 research teams and 57 institutions. In 2023, researchers at the Natural Hazards Center designed a questionnaire and conducted an evaluation to assess if the award program was meeting its four objectives: (1) train a diverse public health workforce; (2) advance public health disaster research; (3) build equitable collaborations; and (4) translate research to practice. The final questionnaire was administered to the lead investigator of each project in April of 2023 via the Qualtrics online survey platform. The questionnaire, which is published as part of this DesignSafe project, includes closed- and open-ended questions about the following topics: (1) the skills, knowledge, and connections that research team members acquired during the award period; (2) the publications, grant proposals, educational materials, and/or traineeships that team members developed post-award using research findings; (3) the collaborations with community partners, public health departments, and other hazards and disasters scholars or practitioners that team members built post-award; and (4) how team members applied their research findings to practice by developing new public health tools or promoting changes to public health policies or programs. Of the 26 projects funded as part of Special Calls 1 and 2, 23 lead investigators submitted responses between April 6 and 27, 2023 (88.5% response rate). A summary of the evaluation findings is included in the Evaluation Report that is published as part of this project.
DOI: 10.15468/dl.wleyai
title: Occurrence Download

description: A dataset containing 7941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambrosia artemisiifolia Besser",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7941 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002638-150221044754056/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uhx8n
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Shinnersia rivularis (A.Gray) R.M.King & H.Rob.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079035-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buz4vu
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "or" : [
 "OccurrenceId is urn:uuid:baf73565-66fd-4352-bcd1-f7fddc570b68",
 "OccurrenceId is 261847f7-fc21-11e2-ac3f-081965b14959",
 "OccurrenceId is https://www.inaturalist.org/observations/18576268"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003091-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpcxjc
title: Occurrence Download

description: A dataset containing 9865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Wasmannia auropunctata (Roger, 1863)"
 ]
}

 The dataset includes 9865 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0334208-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvby3r
title: Occurrence Download

description: A dataset containing 34847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.161 41.729,-74.346 41.729,-74.346 56.861,-95.161 56.861,-95.161 41.729))",
 "TaxonKey is Bombus Latreille, 1802"
 ]
}

 The dataset includes 34847 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037188-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.