cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31251415
title: Spatiotemporal Infestation Patterns of <i>Aceria litchii</i> Keifer (Acari: Eriophyidae) in a Lychee Orchard in South Florida- datasets

description: The lychee erinose mite (LEM), <i>Aceria litchii</i>, is an invasive eriophyoid mite posing notable risks to lychee (<i>Litchi chinensis</i>) production worldwide. First detected in Florida's Lee County in 2018, LEM has since spread to all lychee producing counties in the state. This study investigated LEM's dispersal dynamics following its initial detection in a lychee orchard in Homestead, Florida. A total of 190 lychee trees (‘Brewster’, ‘Mauritius’, and ‘Sweetheart’ cultivars) were monitored bi-weekly to detect new infestations and determine the LEM spread within the orchard and in the canopy of each tree. The overall LEM spread across cultivars, the infestation levels per tree, the colonization patterns within each canopy, and the spatiotemporal dispersion dynamics of LEM within the orchard were evaluated. Factors such as wind direction, temperature, cultivar susceptibility, tree height, flushing, flowering, and fruiting intensity were analyzed for their influence on LEM dispersion. LEM infested the first 10% of the trees in 78.6 days, with the following 90% of the infestation occurring exponentially over the next 100 days. LEM infestation level was significantly linked to the nearest affected tree within the orchard, canopy structure and tree height, suggesting a preference for short-distance (ambulatory movement) over long-distance dispersal (wind and phoresy). The progression of LEM within and between trees correlated with rising temperatures, flushing, and flowering intensity, suggesting that dispersion through phoresy using pollinators may have also occurred. ‘Brewster’ was less susceptible to LEM infestation compared to ‘Mauritius’ and ‘Sweetheart’. The relevance of these findings is discussed.
DOI: 10.6084/m9.figshare.31251415.v1
title: Spatiotemporal Infestation Patterns of <i>Aceria litchii</i> Keifer (Acari: Eriophyidae) in a Lychee Orchard in South Florida- datasets

description: The lychee erinose mite (LEM), <i>Aceria litchii</i>, is an invasive eriophyoid mite posing notable risks to lychee (<i>Litchi chinensis</i>) production worldwide. First detected in Florida's Lee County in 2018, LEM has since spread to all lychee producing counties in the state. This study investigated LEM's dispersal dynamics following its initial detection in a lychee orchard in Homestead, Florida. A total of 190 lychee trees (‘Brewster’, ‘Mauritius’, and ‘Sweetheart’ cultivars) were monitored bi-weekly to detect new infestations and determine the LEM spread within the orchard and in the canopy of each tree. The overall LEM spread across cultivars, the infestation levels per tree, the colonization patterns within each canopy, and the spatiotemporal dispersion dynamics of LEM within the orchard were evaluated. Factors such as wind direction, temperature, cultivar susceptibility, tree height, flushing, flowering, and fruiting intensity were analyzed for their influence on LEM dispersion. LEM infested the first 10% of the trees in 78.6 days, with the following 90% of the infestation occurring exponentially over the next 100 days. LEM infestation level was significantly linked to the nearest affected tree within the orchard, canopy structure and tree height, suggesting a preference for short-distance (ambulatory movement) over long-distance dispersal (wind and phoresy). The progression of LEM within and between trees correlated with rising temperatures, flushing, and flowering intensity, suggesting that dispersion through phoresy using pollinators may have also occurred. ‘Brewster’ was less susceptible to LEM infestation compared to ‘Mauritius’ and ‘Sweetheart’. The relevance of these findings is discussed.
DOI: 10.5281/zenodo.18483032
title: APPLYING KRASHEN'S HYPOTHESES TO DIFFERENTIATED INSTRUCTION: A TESOL CASE STUDY BASED ON LEARNER PROFILES

description: This article examines the application of Krashen’s Second Language Acquisition hypotheses to differentiated instruction in a TESOL context. The study is based on the analysis of two learner profiles representing contrasting linguistic backgrounds, affective factors, and learning preferences. Using the Input Hypothesis, Affective Filter Hypothesis, and Monitor Hypothesis as an analytical framework, the paper demonstrates how theoretical principles can inform practical classroom decisions. The findings suggest that contextualized input, emotionally supportive learning environments, and fluency-oriented tasks play a crucial role in facilitating effective language acquisition. The study contributes to practice-oriented TESOL research by illustrating how SLA theory can be operationalized through learner-centered instructional design
DOI: 10.5281/zenodo.18483033
title: APPLYING KRASHEN'S HYPOTHESES TO DIFFERENTIATED INSTRUCTION: A TESOL CASE STUDY BASED ON LEARNER PROFILES

description: This article examines the application of Krashen’s Second Language Acquisition hypotheses to differentiated instruction in a TESOL context. The study is based on the analysis of two learner profiles representing contrasting linguistic backgrounds, affective factors, and learning preferences. Using the Input Hypothesis, Affective Filter Hypothesis, and Monitor Hypothesis as an analytical framework, the paper demonstrates how theoretical principles can inform practical classroom decisions. The findings suggest that contextualized input, emotionally supportive learning environments, and fluency-oriented tasks play a crucial role in facilitating effective language acquisition. The study contributes to practice-oriented TESOL research by illustrating how SLA theory can be operationalized through learner-centered instructional design
DOI: 10.5281/zenodo.18482803
title: Raw data of serum mercury, selenium levels and allergic rhinitis (AR) among 831 participants

description: This dataset contains raw data from 831 participants, including: 1) Serum mercury (serum_Hg) and selenium (serum_Se) concentration levels; 2) Allergic Rhinitis (AR) diagnosis results (in line with ARIA guidelines); 3) Confounding variables (e.g., gender, age, lifestyle indicators). A matched data dictionary (recording variable definitions and coding rules) is attached in this upload. This data is used to support the epidemiological analysis of the association between serum Hg/Se levels and AR.
DOI: 10.5281/zenodo.18482802
title: Raw data of serum mercury, selenium levels and allergic rhinitis (AR) among 831 participants

description: This dataset contains raw data from 831 participants, including: 1) Serum mercury (serum_Hg) and selenium (serum_Se) concentration levels; 2) Allergic Rhinitis (AR) diagnosis results (in line with ARIA guidelines); 3) Confounding variables (e.g., gender, age, lifestyle indicators). A matched data dictionary (recording variable definitions and coding rules) is attached in this upload. This data is used to support the epidemiological analysis of the association between serum Hg/Se levels and AR.
DOI: 10.15468/dl.vez34d
title: Occurrence Download

description: A dataset containing 985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "Geometry POLYGON((15.20503 48.12363,15.70147 48.12363,15.70147 48.47289,15.20503 48.47289,15.20503 48.12363))",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 985 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011694-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yhb3f
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Axis axis"
 ]
}

 The dataset includes 184 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011696-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ea44pg
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - RUN - Aéroport La Réunion Roland Garros-Inventaires Aéro Biodiversité - RUN - Point d'EPOC 6"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011664-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/ds-chillago
title: GRAEME B. SMITH AND ANDREW MITCHELL

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.z5j8em
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agastachys odorata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 236 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011698-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdvar5
title: Occurrence Download

description: A dataset containing 44067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Observation.org, Nature data from around the World, iNaturalist Research-grade Observations)",
 "GadmGid is DEU.10.48_1",
 "OccurrenceStatus is Present",
 "Year 2025-2026"
 ]
}

 The dataset includes 44067 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011695-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23728/b2share.92ryp-mqg52
title: Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach

description: Dataset accompanying the publication "Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with (airborne) roving and hydrogravimetry" (ESSD, https://doi.org/10.5194/essd-2021-445)
The publication contains records of cosmic ray neutron sensing (CRNS - stationary, roving, airborne roving), 
soil moisture (SoilNet, FDR, profile probes, gravimetric), hydro-gravimetry, soil properties (bulk density), 
vegetation / biomass surveys. An overview of the dataset as well as further technical details are provided in the README.pdf file.
description: cosmic ray neutron sensing (CRNS - stationary, roving, airborne roving), 
soil moisture (SoilNet, FDR, profile probes, gravimetric), hydro-gravimetry, soil properties (bulk density), 
vegetation / biomass surveys
DOI: 10.23728/b2share.tgvv0-hjk38
title: Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach

description: Dataset accompanying the publication "Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with (airborne) roving and hydrogravimetry" (ESSD, https://doi.org/10.5194/essd-2021-445)
The publication contains records of cosmic ray neutron sensing (CRNS - stationary, roving, airborne roving), 
soil moisture (SoilNet, FDR, profile probes, gravimetric), hydro-gravimetry, soil properties (bulk density), 
vegetation / biomass surveys. An overview of the dataset as well as further technical details are provided in the README.pdf file.
description: cosmic ray neutron sensing (CRNS - stationary, roving, airborne roving), 
soil moisture (SoilNet, FDR, profile probes, gravimetric), hydro-gravimetry, soil properties (bulk density), 
vegetation / biomass surveys
DOI: 10.5281/zenodo.18471223
title: Part 2. Raw data associated with the publication "Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent"

description: This repository contains the extensive raw data derived from molecular dynamics trajectories, supporting the geometric and structural analyses presented in the research article: "Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent"

Contents:



Water Orientation Data: The water orientation angles Phi and Sigma.

Atomic Coordinates: Z-coordinates of oxygen and hydrogen atoms relative to the interface, used for atomic probability density analysis


Usage: These datasets correspond to the geometric analysis figures (e.g., angular distributions) presented in the main text and Supplementary Information, as well as the atomic probability density analysis provided in the Supplementary Information.

Citation: If you use this data in your research, please cite the associated publication:
DOI: 10.5281/zenodo.18471222
title: Part 2. Raw data associated with the publication "Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent"

description: This repository contains the extensive raw data derived from molecular dynamics trajectories, supporting the geometric and structural analyses presented in the research article: "Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent"

Contents:



Water Orientation Data: The water orientation angles Phi and Sigma.

Atomic Coordinates: Z-coordinates of oxygen and hydrogen atoms relative to the interface, used for atomic probability density analysis


Usage: These datasets correspond to the geometric analysis figures (e.g., angular distributions) presented in the main text and Supplementary Information, as well as the atomic probability density analysis provided in the Supplementary Information.

Citation: If you use this data in your research, please cite the associated publication:
DOI: 10.15468/dl.2q8eys
title: Occurrence Download

description: A dataset containing 9346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "HasCoordinate is false",
 "StateProvince is one of (PERnambuco, PARAiBA, paraiba, Paraíba, Paraíba State, Alagoas, Alagoas Province, Alagoas State, Alagoas/ Pernambuco, alagoas, RIO Grande dO NOrte, Rio Grande Do Norte, Rio Grande Do Norte State, Rio Grande do Norte, Rio Grande do Norte State, Ceará, ceará, Ceará.)",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset includes 9346 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053586-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88gkjh
title: Occurrence Download

description: A dataset containing 729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is false",
 "StateProvince is one of (PERnambuco, Paraíba, Alagoas, RIO Grande dO NOrte, Rio Grande Do Norte, Rio Grande do Norte, Ceará, ceará)",
 "TaxonKey is Lycopodiopsida"
 ]
}

 The dataset includes 729 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053595-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.py2mys
title: Occurrence Download

description: A dataset containing 4234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Bauhinia ungulata"
 ]
}

 The dataset includes 4234 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011701-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18470751
title: Part 1. Raw data associated with the publication "Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent"

description: This repository contains the essential computational datasets and input files associated with the research article: "Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent"

Contents:



Machine Learning Potentials: Training and test datasets, and the final Atomic Cluster Expansion (ACE) potential files.

Simulation Setup: Molecular dynamics (MD) input scripts (LAMMPS format) and initial atomic structure files.

Trajectory Logs: Time-series data from NVE simulations, including total energy, temperature, and extrapolation grade values.


Usage: These files enable the reproduction of the molecular dynamics simulations and the validation of the machine learning potentials described in the manuscript.

Citation: If you use this data or the ACE potential in your work, please cite the associated publication:
DOI: 10.5281/zenodo.18470750
title: Part 1. Raw data associated with the publication "Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent"

description: This repository contains the essential computational datasets and input files associated with the research article: "Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent"

Contents:



Machine Learning Potentials: Training and test datasets, and the final Atomic Cluster Expansion (ACE) potential files.

Simulation Setup: Molecular dynamics (MD) input scripts (LAMMPS format) and initial atomic structure files.

Trajectory Logs: Time-series data from NVE simulations, including total energy, temperature, and extrapolation grade values.


Usage: These files enable the reproduction of the molecular dynamics simulations and the validation of the machine learning potentials described in the manuscript.

Citation: If you use this data or the ACE potential in your work, please cite the associated publication:
DOI: 10.15468/dl.7cfhze
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alloxylon flammeum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 177 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011705-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18173086
title: Archived Anonymized Supplementary material for "Exploring ecohydrology through the lens of local fishers in the Bolivian Amazon" v1.0

description: Title of dataset: Archived Anonymized Supplementary material for “Exploring ecohydrology through the lens of local fishers in the Bolivian Amazon” Version: v1.0Publication Date: Feb-2026

This dataset includes archived aggregated anonymized qualitative interview data and coding results used in the analysis of fishing practices and hydrologic variability along the Beni River. 

These anonymized data were collected under informed consent for the purposes of the present study only. Secondary use, re-analysis, or redistribution of the data provided by the participants for other research purposes is not permitted without additional ethical approval and participant consent.

Keywords: fish ecology; local knowledge; natural hydrologic variability; qualitative analysis; small-scale fisheries; hydropower impact

This dataset is supplementary material for the scientific article “Exploring ecohydrology through the lens of local fishers in the Bolivian Amazon” with preliminar citation (Terrazas-Villarroel et al. 2026) and bibliography (Terrazas-Villarroel, L.G., J. Wenninger, M. Heredia-Gómez, N.C. van de Giesen, and M.E. McClain. 2026. “Exploring Ecohydrology through the Lens of Local Fishers in the Bolivian Amazon (in Press).” Ecosphere).

Content of files:

- AnonimizedRestrictedDataCollectedInformedConsentSpecificStudy.xls

Open Research statement: Data are not publicly available due to privacy protection of research participants. Aggregated and anonymized data is archived in this Zenodo repository, and access can be requested from Lina G. Terrazas Villarroel (linaterrazas@gmail.com).

Funding information: This study was supported by the Schlumberger Foundation's Faculty for the Future program and by the WWF Russell E. Train Education for Nature program.
DOI: 10.5281/zenodo.18173087
title: Archived Anonymized Supplementary material for "Exploring ecohydrology through the lens of local fishers in the Bolivian Amazon" v1.0

description: Title of dataset: Archived Anonymized Supplementary material for “Exploring ecohydrology through the lens of local fishers in the Bolivian Amazon” Version: v1.0Publication Date: Feb-2026

This dataset includes archived aggregated anonymized qualitative interview data and coding results used in the analysis of fishing practices and hydrologic variability along the Beni River. 

These anonymized data were collected under informed consent for the purposes of the present study only. Secondary use, re-analysis, or redistribution of the data provided by the participants for other research purposes is not permitted without additional ethical approval and participant consent.

Keywords: fish ecology; local knowledge; natural hydrologic variability; qualitative analysis; small-scale fisheries; hydropower impact

This dataset is supplementary material for the scientific article “Exploring ecohydrology through the lens of local fishers in the Bolivian Amazon” with preliminar citation (Terrazas-Villarroel et al. 2026) and bibliography (Terrazas-Villarroel, L.G., J. Wenninger, M. Heredia-Gómez, N.C. van de Giesen, and M.E. McClain. 2026. “Exploring Ecohydrology through the Lens of Local Fishers in the Bolivian Amazon (in Press).” Ecosphere).

Content of files:

- AnonimizedRestrictedDataCollectedInformedConsentSpecificStudy.xls

Open Research statement: Data are not publicly available due to privacy protection of research participants. Aggregated and anonymized data is archived in this Zenodo repository, and access can be requested from Lina G. Terrazas Villarroel (linaterrazas@gmail.com).

Funding information: This study was supported by the Schlumberger Foundation's Faculty for the Future program and by the WWF Russell E. Train Education for Nature program.
DOI: 10.15468/dl.stjey9
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithophyllum aninae"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011702-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.