cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30939158
title: Online extraction and determination of active components from Huangqi Chifeng Decoction based on a homemade monolithic adsorbent with a micron-tube structure

description: In this work, a monolithic block copolymer featuring a micron-tube structure was fabricated within a stainless steel tube (50 × 4.6 mm), using divinyltetramethyldisilane and <i>N</i>,<i>N</i>-diallylmelamine as the co-monomers, with the incorporation of doped lignin polymer. The prepared monolithic block copolymer was characterized by scanning electron microscopy, nitrogen adsorption-desorption method, mercury intrusion porosimetry, and infrared spectrometry, among other techniques. The results revealed a relatively uniform porous structure with micron-tubes and an enhanced specific surface area. The prepared composite block copolymer packed in the stainless steel tube served as a solid-phase extraction column for the online extraction and determination of prim-O-glucosylcimifugin, paeoniflorin, and calycosin-7-glucoside from the Chinese herbal medicine formula of Huangqi Chifeng Decoction. This was coupled online with a C18 analytical column and detected by high-performance liquid chromatography (HPLC). The solid-phase extraction adsorbent exhibited excellent selectivity for the target components. Compared to the porous structure achieved by particle accumulation, the micron-tube structure can enhance the efficiency contact sites between the components and the adsorbent surface, thereby improving the adsorption efficiency. The feasibility of the proposed method was confirmed through methodology validation, which demonstrated a relative standard deviation of no more than 2.0% and recoveries ranging from 95.5 to 100.7%.
DOI: 10.6084/m9.figshare.30939158.v1
title: Online extraction and determination of active components from Huangqi Chifeng Decoction based on a homemade monolithic adsorbent with a micron-tube structure

description: In this work, a monolithic block copolymer featuring a micron-tube structure was fabricated within a stainless steel tube (50 × 4.6 mm), using divinyltetramethyldisilane and <i>N</i>,<i>N</i>-diallylmelamine as the co-monomers, with the incorporation of doped lignin polymer. The prepared monolithic block copolymer was characterized by scanning electron microscopy, nitrogen adsorption-desorption method, mercury intrusion porosimetry, and infrared spectrometry, among other techniques. The results revealed a relatively uniform porous structure with micron-tubes and an enhanced specific surface area. The prepared composite block copolymer packed in the stainless steel tube served as a solid-phase extraction column for the online extraction and determination of prim-O-glucosylcimifugin, paeoniflorin, and calycosin-7-glucoside from the Chinese herbal medicine formula of Huangqi Chifeng Decoction. This was coupled online with a C18 analytical column and detected by high-performance liquid chromatography (HPLC). The solid-phase extraction adsorbent exhibited excellent selectivity for the target components. Compared to the porous structure achieved by particle accumulation, the micron-tube structure can enhance the efficiency contact sites between the components and the adsorbent surface, thereby improving the adsorption efficiency. The feasibility of the proposed method was confirmed through methodology validation, which demonstrated a relative standard deviation of no more than 2.0% and recoveries ranging from 95.5 to 100.7%.
DOI: 10.15468/dl.vp5uxm
title: Occurrence Download

description: A dataset containing 24847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris temminckii (Leisler, 1812)"
 ]
}

 The dataset includes 24847 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006568-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.camgtu
title: Occurrence Download

description: A dataset containing 4011 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoring data on the effect of domestic livestock and rabbits on Androcymbium europaeum pastures"
 ]
}

 The dataset includes 4011 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001882-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10887748
title: Present and future distribution models for chestnut in the Iberian Peninsula

description: Current and future distribution of chestnut trees in the Iberian Peninsula developed in the manuscript "Impact of climate change over distribution and potential range of chestnut in the Iberian Peninsula"

These predictions were derived through computational modeling utilizing various environmental parameters. Specifically, the model integrated topographical features such as slope, northness (cosine of aspect), or eastness (sine of aspect),  soil attributes including pH and soil organic carbon content (SOC), and bioclimatic variables sourced from the CHELSA V.2.1 dataset.

File Naming Convention Explanation:

"C_sativa_current.tif" denotes the model representing the current distribution of C. sativa.

In other instances, such as "C_sativa_md_ensemble_ssp370_2011-2040.tif":



"md_ensemble" indicates the median ensemble, while "mn_ensemble" signifies the mean ensemble.

In cases where the model is solely based on a General Circulation Model (GCM), the term "md_ensemble" or "mn_ensemble" is replaced by the specific model used.

"ssp370" or "ssp585" corresponds to the climate change scenario derived from CMIP6 GCMs.

The timeframe "2011-2040," "2041-2070," or "2071-2100" denotes the period under evaluation.
DOI: 10.5281/zenodo.10887749
title: Present and future distribution models for chestnut in the Iberian Peninsula

description: Current and future distribution of chestnut trees in the Iberian Peninsula developed in the manuscript "Changes in chestnut potential range in the Iberian Peninsula under climate change"

These predictions were derived through computational modeling utilizing various environmental parameters. Specifically, the model integrated topographical features such as slope, northness (cosine of aspect), or eastness (sine of aspect),  soil attributes including pH and soil organic carbon content (SOC), and bioclimatic variables sourced from the CHELSA V.2.1 dataset.

File Naming Convention Explanation:

"C_sativa_Current.tif" denotes the model representing the current distribution of C. sativa.

In other instances, such as "C_sativa_md_ensemble_ssp370_2011-2040.tif":



"md_ensemble" indicates the median ensemble, while "mn_ensemble" signifies the mean ensemble.

In cases where the model is solely based on a General Circulation Model (GCM), the term "md_ensemble" or "mn_ensemble" is replaced by the specific model used.

"ssp370" or "ssp585" corresponds to the climate change scenario derived from CMIP6 GCMs.

The timeframe "2011-2040," "2041-2070," or "2071-2100" denotes the period under evaluation.
DOI: 10.5281/zenodo.14065833
title: Present and future distribution models for chestnut in the Iberian Peninsula

description: Current and future distribution of chestnut trees in the Iberian Peninsula developed in the manuscript "Impact of climate change over distribution and potential range of chestnut in the Iberian Peninsula"

These predictions were derived through computational modeling utilizing various environmental parameters. Specifically, the model integrated topographical features such as slope, northness (cosine of aspect), or eastness (sine of aspect),  soil attributes including pH and soil organic carbon content (SOC), and bioclimatic variables sourced from the CHELSA V.2.1 dataset.

File Naming Convention Explanation:

"C_sativa_current.tif" denotes the model representing the current distribution of C. sativa.

In other instances, such as "C_sativa_md_ensemble_ssp370_2011-2040.tif":



"md_ensemble" indicates the median ensemble, while "mn_ensemble" signifies the mean ensemble.

In cases where the model is solely based on a General Circulation Model (GCM), the term "md_ensemble" or "mn_ensemble" is replaced by the specific model used.

"ssp370" or "ssp585" corresponds to the climate change scenario derived from CMIP6 GCMs.

The timeframe "2011-2040," "2041-2070," or "2071-2100" denotes the period under evaluation.
DOI: 10.15468/dl.cjmfkn
title: Occurrence Download

description: A dataset containing 83845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lynx lynx (Linnaeus, 1758), Lynx rufus (Schreber, 1777), Lynx canadensis Kerr, 1792, Lynx pardinus (Temminck, 1827))",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 83845 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001883-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgs7qt
title: Occurrence Download

description: A dataset containing 2128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Specimen, Material sample, Machine Observation, Human Observation, Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Priapulida",
 "Year 2020-2025"
 ]
}

 The dataset includes 2128 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001895-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10577372
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.28279967
title: DC-SE-DSCNet

description: Existing pest and disease identification models based on neural network image classification technology have high computational demands and prolonged processing times, which limit their widespread application. Therefore, further research on lightweight models is essential to improve recognition performance and enhance real-time processing capabilities. This study introduced a Dilated Convolution_Squeeze and Excitation_Depthwise Separable Convolution Network (DC-SE-DSCNet), which was a lightweight Convolutional Neural Network (CNN) designed for mobile devices and embedded systems in Mobile Edge Computing (MEC) environments. The model employed depthwise separable convolution (DSC) to replace traditional convolution, significantly reducing the parameter count and computational complexity. Additionally, Dilated Convolution (DC) expanded the receptive field, reduced the computational demands, and enhanced the feature extraction capabilities. The Squeeze-and-Excitation (SE) module was introduced as a channel attention mechanism to enhance the feature selection capabilities. This model integrated the max-pooling layer with the SE module to effectively preserve the critical feature information. The simulation results demonstrated that the DC-SE-DSCNet model achieved the accuracy of 94.14%, with a parameter count of only 0.17 M and the computational complexity of 0.48 GFLOPs. Overall, the DC-SE-DSCNet model effectively satisfied the requirements for low-cost, low-power, and high-performance devices.
DOI: 10.6084/m9.figshare.28279967.v1
title: DC-SE-DSCNet

description: Existing pest and disease identification models based on neural network image classification technology have high computational demands and prolonged processing times, which limit their widespread application. Therefore, further research on lightweight models is essential to improve recognition performance and enhance real-time processing capabilities. This study introduced a Dilated Convolution_Squeeze and Excitation_Depthwise Separable Convolution Network (DC-SE-DSCNet), which was a lightweight Convolutional Neural Network (CNN) designed for mobile devices and embedded systems in Mobile Edge Computing (MEC) environments. The model employed depthwise separable convolution (DSC) to replace traditional convolution, significantly reducing the parameter count and computational complexity. Additionally, Dilated Convolution (DC) expanded the receptive field, reduced the computational demands, and enhanced the feature extraction capabilities. The Squeeze-and-Excitation (SE) module was introduced as a channel attention mechanism to enhance the feature selection capabilities. This model integrated the max-pooling layer with the SE module to effectively preserve the critical feature information. The simulation results demonstrated that the DC-SE-DSCNet model achieved the accuracy of 94.14%, with a parameter count of only 0.17 M and the computational complexity of 0.48 GFLOPs. Overall, the DC-SE-DSCNet model effectively satisfied the requirements for low-cost, low-power, and high-performance devices.
DOI: 10.34740/kaggle/dsv/10577392
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.3mgbdt
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxonomic notes on some East Asian pteridophytes"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001901-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14729525
title: Survey Artifacts for Cross-Cultural User Studies: Korean and English Versions with Proofreading Documentation (USENIX Security 2025)

description: This artifact package includes materials from our user study to support reproducibility and aid future cross-cultural research efforts, particularly involving Korean participants. The following items are provided:



English Survey (EN_Survey.pdf): The finalized English survey, professionally translated and further refined through expert proofreading to ensure clarity and alignment with academic standards.

Korean Survey (KR_Survey.pdf): The survey in its original form, designed for native Korean participants.


These materials are offered to benefit the research community, addressing challenges in conducting user studies across languages and cultures. By including both Korean and English versions, this package aims to facilitate future research endeavors involving translations and cross-cultural participant engagement.
DOI: 10.5281/zenodo.14729526
title: Survey Artifacts for Cross-Cultural User Studies: Korean and English Versions with Proofreading Documentation (USENIX Security 2025)

description: This artifact package includes materials from our user study to support reproducibility and aid future cross-cultural research efforts, particularly involving Korean participants. The following items are provided:



Original Korean Survey (KR_Survey.pdf): The survey in its original form, designed for native Korean participants.

Translated English Survey (EN_Survey_Before_Proofreading.pdf): The English version of the survey, translated by the authors to ensure accuracy and contextual relevance.

Proofread English Survey (EN_Survey_After_Proofreading.pdf): The finalized English survey, refined and validated through professional proofreading to ensure clarity and alignment with academic standards.

Proofreading Confirmation (Proofreading_Confirmation.pdf): A document verifying the completion and quality of the professional proofreading process.


These materials are offered to benefit the research community, addressing challenges in conducting user studies across languages and cultures. By including both Korean and English versions, this package aims to facilitate future research endeavors involving translations and cross-cultural participant engagement.
DOI: 10.5281/zenodo.14738628
title: Survey Artifacts for Cross-Cultural User Studies: Korean and English Versions with Proofreading Documentation (USENIX Security 2025)

description: This artifact package includes materials from our user study to support reproducibility and aid future cross-cultural research efforts, particularly involving Korean participants. The following items are provided:



English Survey (EN_Survey.pdf): The finalized English survey, professionally translated and further refined through expert proofreading to ensure clarity and alignment with academic standards.

Korean Survey (KR_Survey.pdf): The survey in its original form, designed for native Korean participants.


These materials are offered to benefit the research community, addressing challenges in conducting user studies across languages and cultures. By including both Korean and English versions, this package aims to facilitate future research endeavors involving translations and cross-cultural participant engagement.
DOI: 10.15468/dl.xpenfp
title: Occurrence Download

description: A dataset containing 1320 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Justicia adhatoda L."
 ]
}

 The dataset includes 1320 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001903-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2efet
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lupinus polyphyllus",
 "Country is Sweden",
 "HasCoordinate is true",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2008"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001904-250123221155621/datasets/export for details.
DOI: 10.15468/dl.nze8zx
title: Occurrence Download

description: A dataset containing 993 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ROC RSPB Farmland Species Survey Dataset"
 ]
}

 The dataset includes 993 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001905-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhpqfm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lupinus polyphyllus",
 "Country is Sweden",
 "HasCoordinate is true",
 "Year is greater than or equal to 2009",
 "Year is less than or equal to 2013"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001907-250123221155621/datasets/export for details.
DOI: 10.34740/kaggle/dsv/10577443
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.adxdz8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lupinus polyphyllus",
 "Country is Sweden",
 "HasCoordinate is true",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2018"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001908-250123221155621/datasets/export for details.
DOI: 10.15468/dl.ywd6fq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lupinus polyphyllus",
 "Country is Sweden",
 "HasCoordinate is true",
 "Year is greater than or equal to 2019",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001909-250123221155621/datasets/export for details.
DOI: 10.15468/dl.5frfxd
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa caudata Baker"
 ]
}

 The dataset includes 160 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001912-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3jt6t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lupinus polyphyllus",
 "Country is Sweden",
 "HasCoordinate is true",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2008"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001913-250123221155621/datasets/export for details.
DOI: 10.15468/dl.zsyfcj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lupinus polyphyllus",
 "Country is Sweden",
 "HasCoordinate is true",
 "Year is greater than or equal to 2009",
 "Year is less than or equal to 2013"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001916-250123221155621/datasets/export for details.
DOI: 10.15468/dl.zdftfj
title: Occurrence Download

description: A dataset containing 6952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rosa carolina L."
 ]
}

 The dataset includes 6952 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001917-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfbws6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lupinus polyphyllus",
 "Country is Sweden",
 "HasCoordinate is true",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2018"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001918-250123221155621/datasets/export for details.
DOI: 10.15468/dl.f2n5yq
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rosa caudata Baker"
 ]
}

 The dataset includes 106 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001919-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrcwj4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lupinus polyphyllus",
 "Country is Sweden",
 "HasCoordinate is true",
 "Year is greater than or equal to 2019",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001920-250123221155621/datasets/export for details.