cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14553961
title: This project aims to identify the optimal window size for classifying important citations in research papers. By determining the best window size, we can enhance the accuracy and efficiency of citation importance detection, which plays a crucial role in understanding the significance of references in academic writing.

description: Purpose:This project focuses on optimizing the window size parameter for semantic classification models to identify important in-text citations within research papers. The goal is to enhance the accuracy and efficiency of citation importance detection, which aids in understanding the contextual and intent-based significance of citations in academic writing.

Datasets Used:



SciCite: A benchmark dataset for citation intent classification.

ACL-ARC: A dataset commonly used for citation context analysis.


Methodology:



Multiple machine learning and deep learning models were implemented, including:



Machine Learning Models: SVM, Naive Bayes, Decision Tree.

Deep Learning Models: CNN, LSTM, GRU.



The models were evaluated at different window sizes to determine the one that yields optimal performance.

Metrics such as accuracy, precision, and recall were used to assess the models.


Results:



The experiments revealed that a window size of 10 produced the most accurate and reliable results across various models.

This finding highlights the importance of parameter tuning in citation classification tasks.


Conclusion:This project demonstrates the critical role of selecting an optimal window size in improving the performance of semantic classification models. The results provide valuable insights for future research in citation analysis and related fields.

Significance:Accurately classifying important citations can:



Help in evaluating the influence of research work.

Improve tools for literature reviews and scientific discovery.

Aid automated systems in summarizing or prioritizing references in academic writing.


Repository Structure:The project repository contains the following:



data/: Preprocessed datasets from SciCite and ACL-ARC.

models/: Implemented machine learning and deep learning models.

results/: Performance metrics and visualizations for different window sizes.

scripts/: Code for training and evaluating the models
DOI: 10.5281/zenodo.14553978
title: Community Engagement in Dengue Interventions in Conflict- affected Aden, Yemen: An Implementation Research Using CFIR Framework 2.0.

description: This dataset includes original Arabic transcripts and English translations of in-depth interviews (IDIs) conducted as part of implementation research on community engagement in dengue interventions. The study, titled "Community Engagement in Dengue Interventions in Conflict-affected Aden, Yemen: An Implementation Research Using CFIR Framework 2.0," is intended for publication in PLOS Neglected Tropical Diseases.
DOI: 10.5281/zenodo.14553979
title: Community Engagement in Dengue Interventions in Conflict- affected Aden, Yemen: An Implementation Research Using CFIR Framework 2.0.

description: This dataset includes original Arabic transcripts and English translations of in-depth interviews (IDIs) conducted as part of implementation research on community engagement in dengue interventions. The study, titled "Community Engagement in Dengue Interventions in Conflict-affected Aden, Yemen: An Implementation Research Using CFIR Framework 2.0," is intended for publication in PLOS Neglected Tropical Diseases.
DOI: 10.5281/zenodo.14554014
title: Enhancing automatic early arteriosclerosis prediction: an explainable machine learning evidence

description: This is the dataset from our research. A research paper has already been published and can be accessed at https://www.sciencedirect.com/science/article/pii/S2588914124000169.
DOI: 10.5281/zenodo.14554016
title: Enhancing automatic early arteriosclerosis prediction: an explainable machine learning evidence

description: This is the dataset from our research. A research paper has already been published and can be accessed at https://www.sciencedirect.com/science/article/pii/S2588914124000169.
DOI: 10.5281/zenodo.14533669
title: A Refined Terrace Extraction Method Based on A Local Opti-mization Model Using GF-2 Images

description: 该数据集包含了 2020 年祖里河流域 1 米分辨率的阶地空间分布图。地图值及其对应的类如下:0:非阶地 1:阶地
DOI: 10.5281/zenodo.14533670
title: A Refined Terrace Extraction Method Based on A Local Opti-mization Model Using GF-2 Images

description: 该数据集包含了 2020 年祖里河流域 1 米分辨率的阶地空间分布图。地图值及其对应的类如下:0:非阶地 1:阶地
DOI: 10.6084/m9.figshare.28091595
title: Table S2. KLF4 peak regions in hPGCLCs from The role of KLF4 in human primordial germ cell development

description: Supplementary_table2.xlsx
DOI: 10.6084/m9.figshare.28091595.v1
title: Table S2. KLF4 peak regions in hPGCLCs from The role of KLF4 in human primordial germ cell development

description: Supplementary_table2.xlsx
DOI: 10.6084/m9.figshare.28091598
title: Table S1. GO terms for the significantly down- or up-regulated genes in KLF4-deficient hPGCLCs. from The role of KLF4 in human primordial germ cell development

description: Supplementary_table1.xlsx
DOI: 10.6084/m9.figshare.28091598.v1
title: Table S1. GO terms for the significantly down- or up-regulated genes in KLF4-deficient hPGCLCs. from The role of KLF4 in human primordial germ cell development

description: Supplementary_table1.xlsx
DOI: 10.15468/y5b8hu
title: Elymus L. in the flora of Uzbekistan

description: Genus Elymus L. in the flora of Uzbekistan
DOI: 10.15468/dl.z4ktrc
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Male of Danielithosia pyralina (Rothschild, 1912) comb. nov., an endemic moth species from Sumbawa and Flores (Lepidoptera: Erebidae: Arctiinae)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048379-241126133413365/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.28091513
title: Experimental data for validation of COM estimation in single leg standing

description: We make public the information of the subjects who participated in the verification experiment, the COM time series data from the proposed method and motion capture measurement, and the correlation coefficients and root mean square errors for all experiments.
DOI: 10.6084/m9.figshare.28091513.v1
title: Experimental data for validation of COM estimation in single leg standing

description: We make public the information of the subjects who participated in the verification experiment, the COM time series data from the proposed method and motion capture measurement, and the correlation coefficients and root mean square errors for all experiments.
DOI: 10.15468/dl.wmf4kc
title: Occurrence Download

description: A dataset containing 48136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.16647 36.68816,31.67419 36.68816,31.67419 37.13676,31.16647 37.13676,31.16647 36.68816))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 48136 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048380-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cww5b2
title: Occurrence Download

description: A dataset listing the 4016614 species recorded in GBIF matching the query:
{ }

 The dataset's 4016614 records were derived from 70128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048378-241126133413365/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/10293194
title: ⏳ endoflife.date database (duckdb)
DOI: 10.15468/dl.ccawpq
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Odonata observations from SE Asia",
 "Geometry POLYGON((114.49089 -8.04424,114.38421 -8.11746,114.40722 -8.28271,114.50553 -8.41868,114.75237 -8.56511,114.96156 -8.70945,114.99084 -8.90608,115.2063 -8.9019,115.33809 -8.66761,115.58493 -8.56093,115.81085 -8.37266,115.69789 -8.20532,115.37365 -8.03378,115.11008 -8.04006,114.49089 -8.04424))"
 ]
}

 The dataset includes 502 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048381-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufjvpc
title: Occurrence Download

description: A dataset listing the 1746 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.16647 36.68816,31.67419 36.68816,31.67419 37.13676,31.16647 37.13676,31.16647 36.68816))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1746 records were derived from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048382-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42d2sn
title: Occurrence Download

description: A dataset containing 4163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium nipponicum (Maxim.) Makino",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 4163 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048383-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xt2uu5
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron seniavinii Maxim."
 ]
}

 The dataset includes 190 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048384-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ee3eb
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Odonata observations from SE Asia",
 "Geometry POLYGON((116.24376 -8.20408,115.90585 -8.42399,115.77712 -8.72435,115.87724 -8.92639,116.50121 -9.04796,116.67821 -8.90672,116.73543 -8.51696,116.79621 -8.34175,116.72112 -8.23805,116.33851 -8.16296,116.24376 -8.20408))"
 ]
}

 The dataset includes 236 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048385-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjk3fm
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Valvata O.F.Müller, 1773)",
 "Country is Japan"
 ]
}

 The dataset includes 40 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048387-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkgzar
title: Occurrence Download

description: A dataset containing 2918011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 2918011 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048386-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzxf9f
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Odonata observations from SE Asia",
 "Geometry POLYGON((122.93293 -8.0249,122.88968 -7.98888,122.5989 -8.22784,122.47222 -8.42937,122.35994 -8.58484,122.14977 -8.36891,121.38108 -8.43801,121.02408 -8.24511,120.60374 -8.19041,120.24098 -8.19905,119.84368 -8.29406,119.79474 -8.40346,119.80337 -8.48113,119.81077 -8.60877,119.76638 -8.67352,119.71241 -8.85768,120.19061 -9.01057,120.80869 -9.0366,121.58617 -8.94226,122.56209 -8.80888,122.84835 -8.51286,123.12812 -8.24285,122.93293 -8.0249))"
 ]
}

 The dataset includes 152 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048389-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14553697
title: auroral substorm event dataset  based on SUSSI images
DOI: 10.5281/zenodo.14553698
title: auroral substorm event dataset  based on SUSSI images
DOI: 10.15468/dl.wqab75
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Valvata O.F.Müller, 1773)",
 "Country is Japan"
 ]
}

 The dataset includes 40 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048390-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.myh4z8
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Eupatorium fortunei Turcz.",
 "Year 1935-2024"
 ]
}

 The dataset includes 380 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048391-241126133413365/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.28091657
title: <b>U</b><b>nfolding the potential of soil microbial community for accumulation of necromass carbon</b><b> at large scale</b>

description: It is unclear, however, how microbes mediate the accumulation of necromass in soil because microbial communities are prohibitively diverse. To bridge this knowledge gap, here, biomarkers of microbial cell walls (amino sugars) were combined with high-throughput sequencing, spanning a 900 km climatic gradient through the Loess Plateau. The cropland and three restoration restoration types- grassland, shrubland, and forestland- were included, and 291 samples were collected from these contrasting ecosystems.
DOI: 10.15468/dl.93uvb5
title: Occurrence Download

description: A dataset containing 2851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mimosa bimucronata (DC.) Kuntze"
 ]
}

 The dataset includes 2851 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048392-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ks4gsc
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Male of Spilarctia mikeli Bolotov, Kondakov & Spitsyn, 2018, an endemic species from Flores Island, Lesser Sunda Archipelago (Lepidoptera: Erebidae Arctiinae)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048393-241126133413365/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.28091336
title: Supplementary Information

description: Chemical structure and Absorption spectra of Berberine
DOI: 10.6084/m9.figshare.28091336.v1
title: Supplementary Information

description: Chemical structure and Absorption spectra of Berberine
DOI: 10.15468/dl.hsmw3f
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Odonata observations from SE Asia",
 "Geometry POLYGON((118.96977 -9.21771,118.86568 -9.51106,118.95716 -9.75393,119.39244 -9.87064,119.72679 -10.15136,120.34186 -10.35954,120.85284 -10.37216,121.06418 -9.98419,120.06429 -9.26187,118.96977 -9.21771))"
 ]
}

 The dataset includes 558 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048395-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9bdee
title: Occurrence Download

description: A dataset containing 2567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mimosa diplotricha C.Wright"
 ]
}

 The dataset includes 2567 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048394-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngjez4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus angustifolia E.James"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048396-241126133413365/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.28091660
title: <b>A global synthesis of environmental factors driving soil enzymatic activities response to heavy metal pollution</b>

description: <b>Dataset and R code of the global synthesis of environmental factors driving soil enzymatic activities response to heavy metal pollution</b>
DOI: 10.15468/dl.vbf6mq
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron rivulare Hand.-Mazz."
 ]
}

 The dataset includes 367 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048397-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvkcg6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus deltoides W.Bartram ex Marshall"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048399-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sj32vn
title: Occurrence Download

description: A dataset containing 1022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mimosa diplotricha var. diplotricha, Mimosa diplotricha var. inermis (Adelb.) Verdc.)"
 ]
}

 The dataset includes 1022 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048398-241126133413365/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.28091669
title: <b>Barriers and facilitators to weight loss in individuals with a recent history of weight management attempts</b>

description: Individuals with obesity attempt to lose weight using a variety of interventions and experience several challenges. This study aimed to determine the prevalence of obesity and perceived barriers to weight loss and maintaining an optimum weight in Bahrain.In this cross-sectional study, 1453 Bahraini adults who had used any intervention to lose weight in the past year answered a structured questionnaire. The participants were approached through social media platforms. The univariate and multivariate logistic regression analysis was conducted to
DOI: 10.15468/dl.t442te
title: Occurrence Download

description: A dataset containing 462628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Coniopterygidae, Sisyridae, Nevrorthidae, Osmylidae, Hemerobiidae, Berothidae, Mantispidae, Chrysopidae, Psychopsidae, Nymphidae, Ithonidae, Nemopteridae, Ascalaphidae, Myrmeleontidae)"
 ]
}

 The dataset includes 462628 records from 2180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048388-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1178514.10fu
title: SH1178514.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1178516.10fu
title: SH1178516.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.