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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lachesilla cintalapa García-Aldrete, 1983",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002590-250402121839773/datasets/export for details.
DOI: 10.15468/dl.gfdh7a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lachesilla fuscipalpis Badonnel, 1972",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002589-250402121839773/datasets/export for details.
DOI: 10.15468/dl.s2jwg2
title: Occurrence Download

description: A dataset containing 3076 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Standardized Bumblebee (Bombus) Surveys in Vermont"
 ]
}

 The dataset includes 3076 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002591-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28726445
title: data.csv

description: This dataset is a dummy for CST penetration testing.
DOI: 10.15468/dl.e8q3zk
title: Occurrence Download

description: A dataset containing 971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris ruficollis (Pallas, 1776)",
 "Year 2014-2024"
 ]
}

 The dataset includes 971 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002593-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5154f197
title: MassIVE MSV000097514 - Omics Insights into the Effects of Highbush Blueberry and Cranberry Crop Agroecosystems on Honey Bee Health and Physiology
title: Honey bees (Apis mellifera) are essential pollinators in agricultural systems, particularly in fruit-producing agroecosystems such as highbush blueberry and cranberry. However, their health is increasingly compromised by multiple interacting stressors, including pesticide exposure, pathogen infections, and changing nutritional landscapes. To test the hypothesis that distinct agricultural ecosystems, with different combinations of agrochemical exposure, pathogen loads, and floral resources, elicit ecosystem specific, tissue level molecular responses in honey bees, we conducted an integrated multiomics analysis. We combined RNA sequencing, quantitative proteomics, and gut microbiome profiling across three key tissues: head, abdomen, and gut collected from bees in blueberry and cranberry agroecosystems over two field seasons. In parallel, we quantified pesticide residues and pathogen and parasite loads (e.g., Nosema spp., Varroa destructor, and several viruses). Notably, our weighted gene co-expression network analysis (WGCNA) revealed tissue specific coregulated protein modules with ecosystem associated patterns. Bees from blueberry agroecosystems exhibited elevated expression of modules in oxidative phosphorylation, and translation, while those from cranberry agroecosystems showed increased activity in immune pathways and endoplasmic reticulum associated protein processing, indicating potential as robust markers for ecosystem induced physiological adaptation. To further explore the molecular mechanisms underlying different ecosystems, we also conducted the integrative analysis of proteomics, transcriptomics and gut microbiome metagenomics. Gut microbiota composition also differed significantly, with key genera (e.g., Gilliamella, Snodgrassella, Bartonella) correlating with host metabolic and immune modules. These findings underscore the complex, environment-dependent impacts of agroecosystem conditions on bee health. Our study provides a systems level understanding of how combined pesticide, pathogen, and parasitic stressors, mediated by diet and microbiome, shape molecular phenotypes in honey bees, informing strategies for pollinator protection in managed landscapes.
DOI: 10.15468/dl.ec2thu
title: Occurrence Download

description: A dataset containing 17044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor (Linnaeus, 1771)",
 "Year 1900-2025"
 ]
}

 The dataset includes 17044 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002592-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/4210006301-eng
title: Profile of centre-based and home-based child care providers, April 2024, Canada

description: Counts and proportions of centre-based, licensed home-based and unlicensed home-based child care providers by various characteristics such as year established, care options provided, languages regularly spoken while providing care, operating days, whether they are operating at maximum capacity, active waitlist, whether parents are charged additional fees, and whether accommodations or supports are in place for children with a long-term condition or disability, Canada.
DOI: 10.15468/dl.cfaxkc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Megachile victoriana Mitchell, 1933, Megachile victoriana Mitchell, 1933)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1960"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002594-250402121839773/datasets/export for details.
DOI: 10.6073/pasta/7ebda894876aa1c98124f87f3eb966a3
title: StreamFRE: Pool area and depth in Prieta Streams

description: Measurements of pool depth in Prieta Stream, as part of the Stream Flow Reduction Experiment (StreamFRE). StreamFRE started in October 2016 with the goal of assessing the effects of droughts on stream ecosystems. The project is designed to assess the effect of flow reduction, the main effect of drought on streams. We collected pre-manipulation data from October 2016 to September 2017, when Hurricanes Irma and Maria hit Puerto Rico. Due to hurricane disturbances, the project became a hurricane impact assessment from September 2017 to early 2022, when the flow reduction is scheduled to start. Each month we measured pool depth by taking 5 random measurements through each of the pools. Values are recorded in cm and reported as average and variability in pool depth. Pool depths measures are collected the same day Decapod are sampled and pictures are taken to determine the pool surface area.
 Pool depth:
 Each month we measured pool depth by taking 5 random measurements through each of the pools. Values are recorded in cm and reported as average and variability in pool depth. Pool depths measures are collected the same day Decapod are sampled and pictures are taken to determine the pool surface area.
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6073/pasta/ee91001e5db5de2241597904c45407cf
title: StreamFRE-Shrimp assemblages in Prieta Stream

description: Stream Flow Reduction Experiment (StreamFRE) shrimp assemblages in Prieta Stream.
 
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.5281/zenodo.15132918
title: Data Lifecycle Models Evaluation According to FAIR Principles

description: Evaluation results of Data Lifecycle Models according to FAIR Principles.
DOI: 10.5281/zenodo.15132919
title: Data Lifecycle Models Evaluation According to FAIR Principles

description: Evaluation results of Data Lifecycle Models according to FAIR Principles.
DOI: 10.6073/pasta/03040ff11d00aaa8e15a92ed2704846c
title: StreamFRE: Downstream leaf litter exports in Prieta and lateral and vertical leaf litter inputs.

description: StreamFRE: Downstream leaf litter exports in Prieta and lateral and vertical leaf litter inputs.
 
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.5281/zenodo.15132497
title: NA_DAS_SYNTHETIC: NA-MID: the same as NA-ALL, with fiber optic cable on the middle. [DOI: 10.5281/zenodo.15132498]

description: Synthetic DAS signal files (.h5), and scaler files (.save) for both Gauge Lengths [L=1.0344827586231986m and L/2=0.5172413793115993m], using different traffic congestion levels VISSIM models [v10, v11, v12] as well as some discrete vehicle models [v14, v17], with fiber optic cable on the middle (MID). [DOI: 10.5281/zenodo.15132498]
DOI: 10.5281/zenodo.15132498
title: NA_DAS_SYNTHETIC: NA-MID: the same as NA-ALL, with fiber optic cable on the middle. [DOI: 10.5281/zenodo.15132498]

description: Synthetic DAS signal files (.h5), and scaler files (.save) for both Gauge Lengths [L=1.0344827586231986m and L/2=0.5172413793115993m], using different traffic congestion levels VISSIM models [v10, v11, v12] as well as some discrete vehicle models [v14, v17], with fiber optic cable on the middle (MID). [DOI: 10.5281/zenodo.15132498]
DOI: 10.5281/zenodo.15132968
title: Streamlined Integration of GR(1) Synthesis and Reinforcement Learning for Optimizing Critical Cyber-Physical Systems
DOI: 10.5281/zenodo.15132969
title: Streamlined Integration of GR(1) Synthesis and Reinforcement Learning for Optimizing Critical Cyber-Physical Systems
DOI: 10.5281/zenodo.15132923
title: Test dataset (sample data from MTBLS606) to run DuReS

description: This is the test dataset using which the vignette of the package DuReS was developed. Reference to the original paper from which this samples dataset was derived is given below:

Shen, Xiaotao, et al. "Metabolic reaction network-based recursive metabolite annotation for untargeted metabolomics." Nature communications 10.1 (2019): 1516.
DOI: 10.5281/zenodo.15132924
title: Test dataset (sample data from MTBLS606) to run DuReS

description: This is the test dataset using which the vignette of the package DuReS was developed. Reference to the original paper from which this samples dataset was derived is given below:

Shen, Xiaotao, et al. "Metabolic reaction network-based recursive metabolite annotation for untargeted metabolomics." Nature communications 10.1 (2019): 1516.
DOI: 10.15468/dl.akk2v6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Megachile victoriana Mitchell, 1933, Megachile victoriana Mitchell, 1933)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002595-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/byb2lo
title: Monitoreo Tití cabeciblanco en la zona de amortiguación de Reserva Forestal Protectora la Serranía de Coraza y Montes de María (CORAZA), jurisdicción del municipio de Colosó, Sucre

description: El presente conjunto de datos consta de 15 registros biológicos de primates en el marco de las actividades de contención física y química, pesaje, toma de medidas morfométricas, tintura del pelaje, toma de muestras (fecales y de pelo) y evaluación médico-veterinaria, realizadas con fines de monitoreo permanente de grupos familiares de la especie. Se realizó la toma de información en el 2023 en la zona de amortiguación de Reserva Forestal Protectora la Serranía de Coraza y Montes de María (CORAZA), jurisdicción del municipio de Colosó, Sucre.
DOI: 10.6084/m9.figshare.28723388
title: HE_Noncompensatory_Data.xlsx

description: Data relating to the “<b>Evaluation of the Task Characteristics of a Non-Compensatory Holistic Experiment</b>” survey. This study presents a decision-making experiment with eight tasks consisting of evaluating a set of alternatives on a set of attributes. Two decision-making processes are compared, the selection of the best alternative <i>versus</i> the elimination of the worst alternative, carried out by 364 participants. Other characteristics of these tasks such as the type of data visualization and the type of attribute weights are also analyzed. These analyses are made based on the participants’ performance, here represented by the probabilities of success obtained in each task and by the time spent answering the problems. Thus, the aim of this study is to evaluate how the different characteristics of tasks with holistic visualizations lead to better results of probabilities of success when applying non-compensatory decision strategies, a process tracing approach. The knowledge gained from these assessments enables decision analysts to provide adequate support to DMs and, consequently, to improve non-compensatory systems that apply holistic evaluations. The results obtained show that it is not the consideration of a specific characteristic of the tasks, nor even the preference of DMs for such aspects that lead to better performance and greater chances of success.
DOI: 10.25318/4210006301-fra
title: Profil des fournisseurs de services de garde d’enfants en centre et en milieu familial, avril 2024, Canada

description: Nombre et proportion de fournisseurs de services de garde d’enfants en centre et de fournisseurs de services de garde d’enfants en milieu familial avec et sans permis selon diverses caractéristiques, telles que l’année d’établissement, les options offertes en matière de services de garde, les langues régulièrement parlées pendant la prestation de services de garde, les jours de service, l’exploitation à capacité maximale ou non, la liste d’attente active, les frais supplémentaires facturés ou non aux parents et les mesures d’adaptation ou de soutien en place ou non pour les enfants ayant un problème de santé de longue durée ou une incapacité, Canada.
DOI: 10.6073/pasta/5cc96ede27974ff6e4bb7ebfb0e8dc9e
title: StreamFRE Abundance Macroinvertebrate

description: Collection of macroinvertebrates in Quebrada Prieta A and B (QPA and QPB) Stream, as part of the Stream Flow Reduction Experiment (StreamFRE). Data collection from this data set spans from October 2016 - December 2020. Macroinvertebrates are collected using corer samplers in pools and Surber samplers in riffles. Samples are collected monthly in QPB from 3 pools (P1A, P11, P13) and 3 riffles, and bimonthly in 6 QPB pools (P1B, P3, P5, P10, P12,P14). Samples are collected monthly in QPA from 3 pools (P1, P5, P7) and 3 riffles, and bimonthly in 6 QPA pools (P2, P3, P4, P6, P8, P9). Macroinvertebrates include those with common names like shrimp, molluscs, beetles, mayfly nymphs, dragonfly nymphs and other fly nymphs.
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6073/pasta/9600cc2f864c1633227636032fb33bce
title: Leaf Litter Decomposition Experiment in QPA and QPB – Insects - 2019

description: Macroinvertebrates collected from Tabonuco leaf packs associated with 50-day in-situ leaf litter decomposition experiment from 2019-07-1 – 2019-08-20 in Quebrada Prieta A and Quebrada Prieta B. This data may be used to examine insect colonization of leaf packs within streams.
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6073/pasta/0ec276affb1f9353acba9f50d07ba2e1
title: Leaf litter decomposition experiment In QPA and QPB - 2017-2019

description: We ran a leaf litter decomposition experiment over a seven-week period in each of three different years: 2017, 2018, and 2019. To assess leaf decomposition rates, we incubated leaf packs of freshly abscised Tabonuco (Dacryodes excelsa) leaves in pools in each of our two study stream reaches, and retrieved them at intervals over a seven-week period. We attempted to run experiments before onset of heavy rains which often occur in September-December. We chose to use leaves of Tabonuco for experimental leaf packs because it is a dominant riparian tree species along both of our study reaches. This dataset can be used to asses ecosystem function within tropical headwater streams.
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6073/pasta/ef32f47dd05407161886ed7565152462
title: leaf litter decomposition experiment In QPA and QPB - visual shrimp observations 2019

description: Visual shrimp observations from pools associated with 2019 in-situ leaf litter decomposition experiment. Shrimp abundance was recorded over two-minute intervals within pools in Quebrada Prieta A and Quebrada Prieta B.
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.25345/c5wd3qd4v
title: MassIVE MSV000097515 - Omics Insights into the Effects of Highbush Blueberry and Cranberry Crop Agroecosystems on Honey Bee Health and Physiology
title: Honey bees (Apis mellifera) are essential pollinators in agricultural systems, particularly in fruit-producing agroecosystems such as highbush blueberry and cranberry. However, their health is increasingly compromised by multiple interacting stressors, including pesticide exposure, pathogen infections, and changing nutritional landscapes. To test the hypothesis that distinct agricultural ecosystems, with different combinations of agrochemical exposure, pathogen loads, and floral resources, elicit ecosystem specific, tissue level molecular responses in honey bees, we conducted an integrated multiomics analysis. We combined RNA sequencing, quantitative proteomics, and gut microbiome profiling across three key tissues: head, abdomen, and gut collected from bees in blueberry and cranberry agroecosystems over two field seasons. In parallel, we quantified pesticide residues and pathogen and parasite loads (e.g., Nosema spp., Varroa destructor, and several viruses). Notably, our weighted gene co-expression network analysis (WGCNA) revealed tissue specific coregulated protein modules with ecosystem associated patterns. Bees from blueberry agroecosystems exhibited elevated expression of modules in oxidative phosphorylation, and translation, while those from cranberry agroecosystems showed increased activity in immune pathways and endoplasmic reticulum associated protein processing, indicating potential as robust markers for ecosystem induced physiological adaptation. To further explore the molecular mechanisms underlying different ecosystems, we also conducted the integrative analysis of proteomics, transcriptomics and gut microbiome metagenomics. Gut microbiota composition also differed significantly, with key genera (e.g., Gilliamella, Snodgrassella, Bartonella) correlating with host metabolic and immune modules. These findings underscore the complex, environment-dependent impacts of agroecosystem conditions on bee health. Our study provides a systems level understanding of how combined pesticide, pathogen, and parasitic stressors, mediated by diet and microbiome, shape molecular phenotypes in honey bees, informing strategies for pollinator protection in managed landscapes.
DOI: 10.15468/dl.upu5qp
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "TaxonKey is Panthera tigris altaica Temminck, 1844",
 "Year 1900-2025"
 ]
}

 The dataset includes 206 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002596-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4zguu
title: Occurrence Download

description: A dataset containing 109543 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-74.13638 11.35361,-74.14357 11.35818,-74.25592 11.31572,-74.21869 11.27457,-73.98483 11.28045,-73.93584 11.33662,-74.04754 11.37059,-74.13638 11.35361,-74.13638 11.35361))"
 ]
}

 The dataset includes 109543 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002577-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zrypp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lachesilla alpejia García-Aldrete, 1988",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002597-250402121839773/datasets/export for details.