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

description: A dataset containing 5789 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frankliniella occidentalis (Pergande, 1895)"
 ]
}

 The dataset includes 5789 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089689-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/u6ws-2n8c
title: Measurement of Heavy metals at Chilbolton Observatory

description: Measurement of Heavy metals at Chilbolton Observatory
DOI: 10.15468/dl.7zvwhq
title: Occurrence Download

description: A dataset containing 747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyperus prolifer Lam.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 747 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089691-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3r5cgc
title: Occurrence Download

description: A dataset containing 902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oenothera tetragona Roth)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 902 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089692-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyn833
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Caenolestes condorensis Albuja & Patterson, 1996"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089693-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j49dxk
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyclodium C.Presl",
 "Year 2019-2024"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089694-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu6we5
title: Occurrence Download

description: A dataset containing 180942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xylocopa Latreille, 1802"
 ]
}

 The dataset includes 180942 records from 1147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089684-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqnqbp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005616-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dokvfk
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010359-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxcjx7
title: Occurrence Download

description: A dataset containing 517 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Chorus counts for Amphibia in Flanders, Belgium"
 ]
}

 The dataset includes 517 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191145-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkc7l7
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005635-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2myf96
title: Occurrence Download

description: A dataset containing 127732956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 127732956 records from 6540 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017050-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g387yu
title: Occurrence Download

description: A dataset containing 16881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astragalus cicer)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16881 records from 307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002349-251009101135966/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.30324559.v1
title: Replication Package of "Battling Phish"

description: This replication package contains all datasets and source code used in our study on phishing URL detection. The study investigates the effectiveness of traditional machine learning (ML), deep learning (DL), and large language model (LLM)-based methods using a consistent set of 32 URL-based features.<br><br>Directory Structure├── Datasets/│ ├── Dataset-1.csv│ ├── Dataset-2.csv│ ├── Dataset-3.csv│ ├── Dataset-4.csv│ ├── Dataset-5.csv│ ├── Phishing_Site_URLs_32_Features_Extracted_Data.csv│ └── Legit_Phish_32_Features_Extracted_Data.csv│└── Source_Codes/ ├── Feature_extraction_source_code.py ├── Feature_importance_analysis_source_code.py ├── ML/ │ ├── Seven_ML_Models_trained_on_LP.py │ ├── Seven_ML_Models_trained_on_PSU.py │ ├── SoftVoting_trained_on_LP.py │ ├── SoftVoting_trained_on_PSU.py │ ├── HardVoting_trained_on_LP.py │ └── HardVoting_trained_on_PSU.py │ ├── DL/ │ ├── [DLModel1]_trained_on_LP.py │ ├── [DLModel1]_trained_on_PSU.py │ └── ... (total 16 files for 8 DL algorithms) │ └── LLM/ ├── BERT_Fine_Tuned_on_LP.py ├── BERT_Fine_Tuned_on_PSU.py ├── DistilBERT_Fine_Tuned_on_LP.py ├── DistilBERT_Fine_Tuned_on_PSU.py ├── PhishBERT_Evaluation.py └── URLBERT_Evaluation.pyDatasets:<code>Dataset-1.csv</code> to <code>Dataset-5.csv</code>:<br>Used for feature importance analysis.<code>Phishing_Site_URLs_32_Features_Extracted_Data.csv</code> (PSU dataset):<br>Includes phishing and legitimate URLs with 32 extracted lexical features.<code>Legit_Phish_32_Features_Extracted_Data.csv</code> (LP dataset):<br>Another benchmark dataset with the same 32 features, used for comparative evaluation.<b>Note</b>: PSU and LP datasets are used for both training and evaluating ML, DL, and LLM-based models.Source Code:<code><strong>Feature_extraction_source_code.py</strong></code><br>Extracts 32 handcrafted lexical features from raw URL data.<code><strong>Feature_importance_analysis_source_code.py</strong></code><br>Performs feature selection using seven statistical and model-based ranking methods.Machine Learning (ML)Implements ML classifiers individually trained on LP and PSU datasets:Logistic Regression, Decision Tree, Random Forest, Extra Trees, Gradient Boosting, AdaBoost, and XGBoost.Soft Voting and Hard Voting ensembles are also implemented.Scripts:<code>Seven_ML_Models_trained_on_LP.py</code><code>Seven_ML_Models_trained_on_PSU.py</code><code>SoftVoting_trained_on_LP.py</code>, <code>SoftVoting_trained_on_PSU.py</code><code>HardVoting_trained_on_LP.py</code>, <code>HardVoting_trained_on_PSU.py</code>Deep Learning (DL)Implements eight deep learning architectures (each trained separately on LP and PSU):Total of 16 scripts — 2 per DL model (1 for LP, 1 for PSU).Large Language Models (LLMs)<b>Fine-tuned</b>:<code>BERT_Fine_Tuned_on_LP.py</code>, <code>BERT_Fine_Tuned_on_PSU.py</code><code>DistilBERT_Fine_Tuned_on_LP.py</code>, <code>DistilBERT_Fine_Tuned_on_PSU.py</code><b>Pre-trained, zero-shot or direct evaluation</b>:<code>PhishBERT_Evaluation.py</code><code>URLBERT_Evaluation.py</code>
DOI: 10.5286/isis.e.rb2510364-1
title: Diffrential microscopic motion in deep eutectic mixtures used for cryopreservation
DOI: 10.5286/isis.e.rb2510364
title: Diffrential microscopic motion in deep eutectic mixtures used for cryopreservation
DOI: 10.5286/isis.e.rb2590166-1
title: Na-Based post-lithium electrolytes.
DOI: 10.6084/m9.figshare.28674206
title: Diaspora of Nias Cultural Objects in World Museums

description: This data contains a list of museums around the world that house Nias ethnographical objects.<br>The data gathered from their digital databases or written sources is stated in the table.<br>This data is part of doctoral research by Ahmad Ginanjar Purnawibawa, PhD candidate at the University of Naples "L'Orientale", Napoli, Italy.Scholarship for research provided through the PNRR Program of the Italian Government and the project supported by the Mini Grant GLAM Wikimedia Indonesia 2024 on the Digitalization of Nias Ethnographic Heritage in Italian Museums.
DOI: 10.6084/m9.figshare.28674206.v1
title: Diaspora of Nias Cultural Objects in World Museums

description: This data contains a list of museums around the world that house Nias ethnographical objects.<br>The data gathered from their digital databases or written sources is stated in the table.<br>This data is part of doctoral research by Ahmad Ginanjar Purnawibawa, PhD candidate at the University of Naples "L'Orientale", Napoli, Italy.Scholarship for research provided through the PNRR Program of the Italian Government and the project supported by the Mini Grant GLAM Wikimedia Indonesia 2024 on the Digitalization of Nias Ethnographic Heritage in Italian Museums.
DOI: 10.6084/m9.figshare.28674206.v2
title: Diaspora of Nias Cultural Objects in World Museums

description: This data contains a list of museums around the world that house Nias ethnographical objects.<br>The data gathered from their digital databases or written sources is stated in the table.<br>This data is part of doctoral research by Ahmad Ginanjar Purnawibawa, PhD candidate at the University of Naples "L'Orientale", Napoli, Italy.Scholarship for research provided through the PNRR Program of the Italian Government and the project supported by the Mini Grant GLAM Wikimedia Indonesia 2024 on the Digitalization of Nias Ethnographic Heritage in Italian Museums.
DOI: 10.15468/dl.w84z5w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peromyscus stirtoni Dickey, 1928",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015041-250515123054153/datasets/export for details.
DOI: 10.15468/dl.b9sdc9
title: Occurrence Download

description: A dataset containing 9787481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brachymeria compestris Husain & Agarwal, 1982, Syrphophagus aphidivorus (Mayr, 1876), Isepeolus luctuosus (Spinola, 1851), Taeniopygia guttata (Vieillot, 1817), Lymnaea stagnalis (Linnaeus, 1758), Listroderes costirostris Schoenherr, 1826, Francolinus francolinus (Linnaeus, 1766), Ascochyta oleracea J.W.Ellis, Bionectria ochroleuca (Schwein.) Schroers & Samuels, Mycosphaerella capsellae A.J.Inman & Sivan., Urocystis brassicae Mundk., Alternaria japonica Yoshii, Neopseudocercosporella brassicae (Chevall.) Videira & Crous, Clonostachys rosea (Link) Schroers, Samuels, Seifert & W.Gams, Heterodera cruciferae Franklin, 1945, Cylindrosporium cannabinum Ibrah., Dysgonia umbrosa Walker, 1865, Buzara onelia (Guenée, 1852), Eutrepsia inconstans (Geyer, 1837), Javesella salina (Haupt, 1924), Psammotettix cephalotes (Herrich-Schäffer, 1834), Pyrenophora tritici-repentis (Died.) Drechsler, Neoxeniades scipio (Fabricius, 1793), Piranga bidentata Swainson, 1827, Passerina versicolor (Bonaparte, 1838), Aratinga nana (Vigors, 1830), Dives dives (Deppe, 1830), Myiarchus tyrannulus (Statius Muller, 1776), Setophaga dominica (Linnaeus, 1766), Thraupis abbas (Deppe, 1830), Saltator atriceps (R.Lesson, 1832), Tyrannus forficatus (Gmelin, 1789), Tyrannus couchii S.F.Baird, 1858, Icterus gularis (Wagler, 1829), Tyrannus vociferans Swainson, 1826, Trogon melanocephalus Gould, 1836, Tyrannus verticalis Say, 1823, Leptotila verreauxi Bonaparte, 1855, Empidonax traillii (Audubon, 1828), Icteria virens (Linnaeus, 1758), Empidonax flaviventris (W.M.Baird & S.F.Baird, 1843), Myiarchus cinerascens (Lawrence, 1851), Setophaga occidentalis (J.K.Townsend, 1837), Taygete eromene (Walsingham, 1897), Blastobasis ochrobathra Meyrick, 1921, Locrona nigrospersa (Fennah, 1941), Cerodontha incisa (Meigen, 1830), Mycalesis gotama Moore, 1857, Metopolophium dirhodum (Walker, 1849), Diplocolenus abdominalis (Fabricius, 1803))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9787481 records from 1485 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015028-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15493175
title: Codes for reproduce figures in deep clustering rain-induced noise paper

description: Codes for reproducing figures in the paper: Shen, J., and Zhu, T. (2025). Unsupervised Characterization of Rain-Induced Seismic Noise in Urban Fiber-Optic Networks Using Deep Embedded Clustering.
DOI: 10.15468/dl.czx6h6
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heloderma horridum alvarezi Bogert & Martin del Campo, 1956"
 ]
}

 The dataset includes 46 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015036-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15493150
title: daily air temperature and relative humidity datasets
DOI: 10.5281/zenodo.15493151
title: daily air temperature and relative humidity datasets
DOI: 10.15468/dl.uasxmn
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ajuga brachystemon Maxim."
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015037-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88ccyb
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heloderma alvarezi Bogert & Martin Del Campo, 1956"
 ]
}

 The dataset includes 84 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015038-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.28934957
title: Supporting data for "The Stories We Share Influence The Support We Receive: Examining The Effects of Narratives on Support Outcomes"

description: This thesis examines how support-recipients influence social support outcomes through the way they talk about their problems, employing a multi-method approach combining social media analysis, surveys, experiments, and computational methods. In chapter 2, we used reddit data to examine how narrative features of posts (e.g., agency, coherence, affective tone, etc...) influence the quantity and quality of support they receive from other users. In chapters 3 and 4, we use an experimental vignette design to examine how variations in narrative features causally influence participants' desire to support the narrator and the type of support they provide them. Finally in chapter 5, we utilise GPT to examine how narrators feel about the support they receive.The first two datasets consists of posts and comments extracted from Reddit in 2021 from r/Anxiety and r/Depression which have been coded by trained human coders for narrative features and social support. The third and fourth dataset are from two experimental vignette studies conducted on Qualtrics between 2023-2024. The last dataset consists of an experimental study utilising GPT on Qualtrics collected in 2025.
DOI: 10.25442/hku.28934957.v1
title: Supporting data for "The Stories We Share Influence The Support We Receive: Examining The Effects of Narratives on Support Outcomes"

description: This thesis examines how support-recipients influence social support outcomes through the way they talk about their problems, employing a multi-method approach combining social media analysis, surveys, experiments, and computational methods. In chapter 2, we used reddit data to examine how narrative features of posts (e.g., agency, coherence, affective tone, etc...) influence the quantity and quality of support they receive from other users. In chapters 3 and 4, we use an experimental vignette design to examine how variations in narrative features causally influence participants' desire to support the narrator and the type of support they provide them. Finally in chapter 5, we utilise GPT to examine how narrators feel about the support they receive.The first two datasets consists of posts and comments extracted from Reddit in 2021 from r/Anxiety and r/Depression which have been coded by trained human coders for narrative features and social support. The third and fourth dataset are from two experimental vignette studies conducted on Qualtrics between 2023-2024. The last dataset consists of an experimental study utilising GPT on Qualtrics collected in 2025.
DOI: 10.6084/m9.figshare.29133173
title: Supplementary material S2.docx

description: Ten possible docking conformations were obtained by Zdock and Zrank screening, and after importing Rdock for optimization, E-elec is the optimized electrostatic potential energy, E-vdv is the optimized van der Waals non-bonding energy, E-sol is the desolvation energy of the protein complexes, and E-rdock is the result of the combined scoring of the above results. The optimal conformations were ranked according to E-rdock from smallest to largest, with smaller scores representing higher binding stability, and the optimal conformations were obtaining with an electrostatic potential energy of -22.26, van der Waals non-bonding energy of -104.57, desolvation energy of 21, and an E-rdock score of 0.9.
DOI: 10.6084/m9.figshare.29133173.v2
title: Supplementary material S2.docx

description: Ten possible docking conformations were obtained by Zdock and Zrank screening, and after importing Rdock for optimization, E-elec is the optimized electrostatic potential energy, E-vdv is the optimized van der Waals non-bonding energy, E-sol is the desolvation energy of the protein complexes, and E-rdock is the result of the combined scoring of the above results. The optimal conformations were ranked according to E-rdock from smallest to largest, with smaller scores representing higher binding stability, and the optimal conformations were obtaining with an electrostatic potential energy of -22.26, van der Waals non-bonding energy of -104.57, desolvation energy of 21, and an E-rdock score of 0.9.
DOI: 10.6084/m9.figshare.29133173.v1
title: Supplementary material S2.docx

description: Ten possible docking conformations were obtained by Zdock and Zrank screening, and after importing Rdock for optimization, E-elec is the optimized electrostatic potential energy, E-vdv is the optimized van der Waals non-bonding energy, E-sol is the desolvation energy of the protein complexes, and E-rdock is the result of the combined scoring of the above results. The optimal conformations were ranked according to E-rdock from smallest to largest, with smaller scores representing higher binding stability, and the optimal conformations were obtaining with an electrostatic potential energy of -22.26, van der Waals non-bonding energy of -104.57, desolvation energy of 21, and an E-rdock score of 0.9.
DOI: 10.15468/dl.bfwycx
title: Occurrence Download

description: A dataset containing 1716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Choerospondias B.L.Burtt & A.W.Hill"
 ]
}

 The dataset includes 1716 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015039-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ff8kef
title: Occurrence Download

description: A dataset containing 1079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sargentodoxa Rehder & E.H.Wilson"
 ]
}

 The dataset includes 1079 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015040-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17182/hepdata.39233.v1/t11
title: "Table 11" of "Study on Correlations in $\pi^-$ C-12 Interactions at $P$ ($\pi^-$) = 40-{GeV}/$c$ in Cumulative Region"

description: E*(1-COS(THETA))/W IS MAXIMUM OF THIS VALUE FOR ALL PIONS IN EVENT. PIONS WITH MAXIMUM VALUE OF E*(1-COS(THETA))/W IN EVENT ARE EXCLUDED FROM DATA.
description: QUAZINUCLEON INTERACTIONS WERE NOT INCLUDED IN DATA.
DOI: 10.17182/hepdata.39233.v1/t8
title: "Table 8" of "Study on Correlations in $\pi^-$ C-12 Interactions at $P$ ($\pi^-$) = 40-{GeV}/$c$ in Cumulative Region"

description: E*(1-COS(THETA))/W IS MAXIMUM OF THIS VALUE FOR ALL PIONS IN EVENT.
description: QUAZINUCLEON INTERACTIONS WERE NOT INCLUDED IN DATA.
DOI: 10.17182/hepdata.39233.v1/t9
title: "Table 9" of "Study on Correlations in $\pi^-$ C-12 Interactions at $P$ ($\pi^-$) = 40-{GeV}/$c$ in Cumulative Region"

description: E*(1-COS(THETA))/W IS MAXIMUM OF THIS VALUE FOR ALL PIONS IN EVENT. PIONS WITH MAXIMUM VALUE OF E*(1-COS(THETA))/W IN EVENT ARE EXCLUDED FROM DATA.
description: QUAZINUCLEON INTERACTIONS WERE NOT INCLUDED IN DATA.