cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28255021.v1
title: Understanding factors that affect dislodgeable foliar residues of pyrimethanil and their dissipation: How relevant is the crop-type for human exposure?

description: Pesticide dislodgeable foliar residues (DFR) and their dissipation half-time (DT<sub>50</sub>) after application are important parameters for exposure and risk assessment from intended reentry activities or unintended dermal contact with treated crops. To understand the impact of agronomic factors on residue level a statistical based evaluation was conducted using ten DFR studies, with pyrimethanil applied in Scala<sup>®</sup> to strawberries, raspberries, peppers, apples, and grapes, 30 trials in total. Influences on initial DFR (DFR0) and DT<sub>50</sub> were investigated by multivariate linear regression analysis. The application rate and the crop itself indicate a potential influence on DFR0 when related to ground area applied which is not notable for three dimensional crops regardless of indoor/outdoor cultivation, when related to leaf wall area (LWA). DFR0 values for pyrimethanil do not depend on the number of applications as the range of DT<sub>50</sub> values determined for pyrimethanil is consistently small (0.3–2.3 days). All DT<sub>50</sub> are significantly lower than the European default (30 days). The noted difference in DT50 of peppers to strawberries is likely attributable to indoor cultivation. A proposal is made how to refine the exposure assessment of pyrimethanil making use of the available DFR0 and DT<sub>50</sub> data for other crop types.
DOI: 10.15468/dl.79rpms
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Photinia guerreris J.B.Phipps)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017538-250127130748423/datasets/export for details.
DOI: 10.4121/f211863d-331b-44e5-a184-c21a18ac831a
title: User Interaction Dataset for CSCW 2023 paper "How Stated Accuracy of an AI System and Analogies to Explain Accuracy Affect Human Reliance on the System."

description: This repo contains all code, data, and user interfaces associated with the paper "How Stated Accuracy of an AI System and Analogies to Explain Accuracy Affect Human Reliance on the System." It mainly contains a human-AI decision making study within the context of loan approval tasks. We collected user decisions before and after the AI advice with access to stated accuracy of the AI system and analogy to elucidate the stated accuracy. We also provided interface built upon flask to reimplement our experiments.
DOI: 10.4121/f211863d-331b-44e5-a184-c21a18ac831a.v1
title: User Interaction Dataset for CSCW 2023 paper "How Stated Accuracy of an AI System and Analogies to Explain Accuracy Affect Human Reliance on the System."

description: This repo contains all code, data, and user interfaces associated with the paper "How Stated Accuracy of an AI System and Analogies to Explain Accuracy Affect Human Reliance on the System." It mainly contains a human-AI decision making study within the context of loan approval tasks. We collected user decisions before and after the AI advice with access to stated accuracy of the AI system and analogy to elucidate the stated accuracy. We also provided interface built upon flask to reimplement our experiments.
DOI: 10.15468/dl.d2rxvq
title: Occurrence Download

description: A dataset containing 136059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euproctis similis (Fuessly, 1775)"
 ]
}

 The dataset includes 136059 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017519-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/390bcc25-dec5-4298-b567-6dda255d6f87
title: User Interaction Dataset for Hypertext 2024 paper "To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems."

description: This repo contains code and data associated with the paper "To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems." In our study, we asked participants to detect whether one piece of hotel reviews was generated by real customers or faked. We provide explanations as text highlights generated with BERT-LIME. In the debugging tutorial stage, participants are asked to adjust the model explanation and guess its correctness.
DOI: 10.4121/390bcc25-dec5-4298-b567-6dda255d6f87.v1
title: User Interaction Dataset for Hypertext 2024 paper "To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems."

description: This repo contains code and data associated with the paper "To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems." In our study, we asked participants to detect whether one piece of hotel reviews was generated by real customers or faked. We provide explanations as text highlights generated with BERT-LIME. In the debugging tutorial stage, participants are asked to adjust the model explanation and guess its correctness.
DOI: 10.15468/dl.3hzb3d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Photinia matudae Lundell)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017539-250127130748423/datasets/export for details.
DOI: 10.4121/19a75bf7-2825-4c22-96a2-e55eecac0fec
title: User Interaction Dataset for JAIR 2024 paper "Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?"

description: This repo contains all code and data for the paper "Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?" We collected user decision making with AI assistants in a skin cancer detection scenario. Specifically, we provide concept-level explanations generated with post-hoc XAI methods and analogy-based explanations to elucidate the importance of concepts. User interfaces built upon flask is also provided.
DOI: 10.4121/19a75bf7-2825-4c22-96a2-e55eecac0fec.v1
title: User Interaction Dataset for JAIR 2024 paper "Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?"

description: This repo contains all code and data for the paper "Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?" We collected user decision making with AI assistants in a skin cancer detection scenario. Specifically, we provide concept-level explanations generated with post-hoc XAI methods and analogy-based explanations to elucidate the importance of concepts. User interfaces built upon flask is also provided.
DOI: 10.15468/dl.rdf5zw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Photinia mexicana (Baill.) Hemsl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017540-250127130748423/datasets/export for details.
DOI: 10.15468/dl.vqcwd4
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.48744 48.2379,11.51083 48.2379,11.51083 48.25499,11.48744 48.25499,11.48744 48.2379))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Helosciadium repens (Jacq.) W.D.J.Koch"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017541-250127130748423/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.28357832
title: Microbial CUE

description: We found that CUEex decreased with absolute latitude, while CUEen showed the opposite trend. Warming reduced CUEex and CUEen by 3.6% and 16.5%, respectively. Drought increased CUEex by 7.9%, but decreased CUEen by 14.3%. Nutrient inputs consistently decreased CUEex by 5.0-17.1%, while nitrogen and nitrogen combined with phosphorus and potassium inputs increased CUEen by 25.5% and 43.1%, respectively. Aridity index, soil pH, and cation exchange capacity were the main factors influencing microbial CUEex. In contrast, microbial respiration and growth rates, followed by microbial biomass, were the major predictors of microbial CUEen. Main conclusions: Biogeochemical models should account for the opposite spatial patterns of microbial CUEex and CUEen, as well as their respective specific drivers under global changes, to accurately predict microbial responses to various carbon sources.
DOI: 10.15468/dl.m98bvs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus axitliana Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017542-250127130748423/datasets/export for details.
DOI: 10.15468/dl.t9ed8u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus barbata Koehne)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017543-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3rvvq
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus brachybotrya Zucc.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 58 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017544-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2n2by
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus chiapensis Standl. & L.O.Williams ex Ant.Molina)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017545-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8vjv4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus cortapico Kerber ex Koehne)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017546-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec
title: PAR001 Optical disdrometer data at Cabauw

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR001" at the remote sensing site in Cabauw. Note that "PAR001" is co-located with another identical disdrometer called "PAR002". This co-location can be used to cross-check data, perform quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Notes: </strong>This dataset is updated approximately every 3 months. Please reach out to the authors if you need access to the most recent data.<br><strong>Known issues:</strong>Lots of data in 2021 were lost to connectivity issues. Notable periods are June 2-21, July 9 to August 11, September 6-15, September 20 to October 5.In 2023, a major update of the data logging system was implemented, which caused some loss of data between November 8 and December 22.
DOI: 10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec.v1
title: PAR001 Optical disdrometer data at Cabauw

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR001" at the remote sensing site in Cabauw. Note that "PAR001" is co-located with another identical disdrometer called "PAR002". This co-location can be used to cross-check data, perform quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.
DOI: 10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec.v2
title: PAR001 Optical disdrometer data at Cabauw

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR001" at the remote sensing site in Cabauw. Note that "PAR001" is co-located with another identical disdrometer called "PAR002". This co-location can be used to cross-check data, perform quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.
DOI: 10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec.v3
title: PAR001 Optical disdrometer data at Cabauw

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR001" at the remote sensing site in Cabauw. Note that "PAR001" is co-located with another identical disdrometer called "PAR002". This co-location can be used to cross-check data, perform quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Notes: </strong>This dataset is updated approximately every 3 months. Please reach out to the authors if you need access to the most recent data.<br><strong>Known issues:</strong>Lots of data in 2021 were lost to connectivity issues. Notable periods are June 2-21, July 9 to August 11, September 6-15, September 20 to October 5.In 2023, a major update of the data logging system was implemented, which caused some loss of data between November 8 and December 22.
DOI: 10.5281/zenodo.14823056
title: Polyphosphate in bacteria Alteromonas sp., Vibrio sp., and Photobacterium ganghwense under phosphorus and organic carbon limitations

description: Three marine heterotrophic bacteria species were cultured under phosphorus (P) and organic carbon limitations and monitored for their dynamics of growth (optical density and viable cell counts), cellular polyphosphate (polyP), total biomass P (TPP), activities of alkaline phosphatase, and the relative expression levels of polyP metabolic genes including ppk1, ppk2, and ppx. The medium concentrations of phosphate, glucose, and dissolved organic carbon (DOC) were also measured.
DOI: 10.5281/zenodo.14823057
title: Polyphosphate in bacteria Alteromonas sp., Vibrio sp., and Photobacterium ganghwense under phosphorus and organic carbon limitations

description: Three marine heterotrophic bacteria species were cultured under phosphorus (P) and organic carbon limitations and monitored for their dynamics of growth (optical density and viable cell counts), cellular polyphosphate (polyP), total biomass P (TPP), activities of alkaline phosphatase, and the relative expression levels of polyP metabolic genes including ppk1, ppk2, and ppx. The medium concentrations of phosphate, glucose, and dissolved organic carbon (DOC) were also measured.
DOI: 10.15468/dl.g5nbe6
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.48744 48.2379,11.51083 48.2379,11.51083 48.25499,11.48744 48.25499,11.48744 48.2379))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Helosciadium repens (Jacq.) W.D.J.Koch"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017547-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fg5vdd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus erythroxylon Koehne)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017548-250127130748423/datasets/export for details.