cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10795436
title: A Comprehensive Dataset for Webpage Classification (Part 3: Benign 2)

description: This dataset, split across three parts due to Zenodo's size constraints, serves as a fundamental resource for enhancing webpage classification techniques. It encompasses 1,069,715 URLs, each annotated with labels to signify their categorization into Malicious, Benign, or Adult content, and further into 20 detailed sublabels for granular analysis. The dataset is designed to facilitate the evaluation and benchmarking of machine learning models, notably Stochastic Gradient Descent (SGD) and Support Vector Classifier (SVC), across a variety of tokenization methods and input types, including URLs, raw HTML, and parsed HTML content.

The primary objective of assembling this dataset is to support research into effective webpage classification, thereby improving content prioritization and filtering in web crawling applications. It has been meticulously curated to provide a robust framework for studying the impact of different feature representation techniques on classification accuracy.

The dataset is structured as JSON lines (jsonl) files, with each entry detailing a URL's label, sublabel, source, status code, and HTML content. This comprehensive dataset is divided into three parts due to size constraints on Zenodo, each targeting specific content categories to ensure ease of use and accessibility for researchers:



Part 1: Adult & Malicious encompasses URLs classified under Adult and Malicious categories, offering insights into content that requires stringent filtering.

Part 2: Benign 1 and Part 3: Benign 2 cover benign URLs, facilitating the study of safe web content and its classification nuances.


We also created a .csv file without the HTML content so it is easier to work with URLs only, this .csv file contains the next columns `['uid', 'url', 'label', 'sublabel']`

By providing this dataset, we aim to contribute significantly to the field of webpage classification, offering a valuable asset for researchers and practitioners looking to advance the state of web crawling technology and its applications.

 

JSON line format for each line:

{"url": "<URL>", "label": "<Label>", "sublabel": "<Sublabel>", "source": "<Source of this URL>", "status_code": <Status Code>, "html": "<HTML Textual Content>"}

Other parts of this dataset:



A Comprehensive Dataset for Webpage Classification (Part 1: Adult & Malicious)

A Comprehensive Dataset for Webpage Classification (Part 2: Benign 1)


 

Citation

if you use this dataset, please cite us:

Al-Maamari, M., Istaiti, M., Zerhoudi, S., Dinzinger, M., Granitzer, M. and Mitrovic, J., A COMPREHENSIVE DATASET FOR WEBPAGE CLASSIFICATION.

https://ca-roll.github.io/downloads/A_Comprehensive_Dataset_for_Webpage_Classification.pdf

 

Granitzer, M., Voigt, S., Fathima, N.A., Golasowski, M., Guetl, C., Hecking, T., Hendriksen, G., Hiemstra, D., Martinovič, J., Mitrović, J. and Mlakar, I., 2023. Impact and development of an Open Web Index for open web search. Journal of the Association for Information Science and Technology.

https://doi.org/10.1002/asi.24818
DOI: 10.5281/zenodo.10795437
title: A Comprehensive Dataset for Webpage Classification (Part 3: Benign 2)

description: This dataset, split across three parts due to Zenodo's size constraints, serves as a fundamental resource for enhancing webpage classification techniques. It encompasses 1,069,715 URLs, each annotated with labels to signify their categorization into Malicious, Benign, or Adult content, and further into 20 detailed sublabels for granular analysis. The dataset is designed to facilitate the evaluation and benchmarking of machine learning models, notably Stochastic Gradient Descent (SGD) and Support Vector Classifier (SVC), across a variety of tokenization methods and input types, including URLs, raw HTML, and parsed HTML content.

The primary objective of assembling this dataset is to support research into effective webpage classification, thereby improving content prioritization and filtering in web crawling applications. It has been meticulously curated to provide a robust framework for studying the impact of different feature representation techniques on classification accuracy.

The dataset is structured as JSON lines (jsonl) files, with each entry detailing a URL's label, sublabel, source, status code, and HTML content. This comprehensive dataset is divided into three parts due to size constraints on Zenodo, each targeting specific content categories to ensure ease of use and accessibility for researchers:



Part 1: Adult & Malicious encompasses URLs classified under Adult and Malicious categories, offering insights into content that requires stringent filtering.

Part 2: Benign 1 and Part 3: Benign 2 cover benign URLs, facilitating the study of safe web content and its classification nuances.


We also created a .csv file without the HTML content so it is easier to work with URLs only, this .csv file contains the next columns `['uid', 'url', 'label', 'sublabel']`

By providing this dataset, we aim to contribute significantly to the field of webpage classification, offering a valuable asset for researchers and practitioners looking to advance the state of web crawling technology and its applications.

 

JSON line format for each line:

{"url": "<URL>", "label": "<Label>", "sublabel": "<Sublabel>", "source": "<Source of this URL>", "status_code": <Status Code>, "html": "<HTML Textual Content>"}

Other parts of this dataset:



A Comprehensive Dataset for Webpage Classification (Part 1: Adult & Malicious)

A Comprehensive Dataset for Webpage Classification (Part 2: Benign 1)


 

Citation

if you use this dataset, please cite us:

Al-Maamari, M., Istaiti, M., Zerhoudi, S., Dinzinger, M., Granitzer, M. and Mitrovic, J., A COMPREHENSIVE DATASET FOR WEBPAGE CLASSIFICATION.

https://ca-roll.github.io/downloads/A_Comprehensive_Dataset_for_Webpage_Classification.pdf

 

Granitzer, M., Voigt, S., Fathima, N.A., Golasowski, M., Guetl, C., Hecking, T., Hendriksen, G., Hiemstra, D., Martinovič, J., Mitrović, J. and Mlakar, I., 2023. Impact and development of an Open Web Index for open web search. Journal of the Association for Information Science and Technology.

https://doi.org/10.1002/asi.24818
DOI: 10.5281/zenodo.10814369
title: Artifacts of a Controlled Experiment About the Impact of Microservice API Patterns on Understandability

description: This repository includes the data set of responses from 66 participants and the analysis scripts of a controlled experiment about the impact of microservice API patterns on understandability.
DOI: 10.5281/zenodo.10210246
title: Artifacts of a Controlled Experiment About the Impact of Microservice API Patterns on Understandability

description: This repository includes the data set of responses from 66 participants and the analysis scripts of a controlled experiment about the impact of microservice API patterns on understandability.
DOI: 10.5281/zenodo.10781397
title: Cclayton_WRFChem_SSP_pres
DOI: 10.5281/zenodo.10814408
title: Membrane mesh and tomogram of the Chlamydomonas chloroplast

description: Membrane mesh and tomogram of the Chlamydomonas chloroplast. These data were originally published in Wietrzynski and Schaffer et al., eLife, 2020. The tomograms were accessed from EMD-10780.
DOI: 10.5281/zenodo.10814409
title: Membrane mesh and tomogram of the Chlamydomonas chloroplast

description: Membrane mesh and tomogram of the Chlamydomonas chloroplast. These data were originally published in Wietrzynski and Schaffer et al., eLife, 2020. The tomograms were accessed from EMD-10780.
DOI: 10.5281/zenodo.10719814
title: Nobeyama Radio Polarimeter (NoRP) Solar Radio Burst List 1988-2023

description: A list of 3818 solar radio bursts from 1988-2023 (Japanese daylight time) derived from light curves of NoRP data at 1.0, 2.0, 3.75, 9.4, 17.0 and 35 GHz in an HTML file, with linked PDFs of the event light curves. A csv version of the catalog is also attached. The list includes timing, peak radio fluxes, GOES soft X-ray flare associations, where possible, and the highest (NASA) RHESSI satellite hard X-ray channel with a detection associated with the flare (RHESSI ceased operation in 2018). The list was produced by SW from data publicly available at the National Astronomical Observatory of Japan (NAOJ) website at http://solar.nro.nao.ac.jp/norp/xdr. For a description of NoRP and the data, see Shimojo & Iwai (2023; doi 10.1002/gdj3.165) and references therein.
DOI: 10.5281/zenodo.10719813
title: Nobeyama Radio Polarimeter (NoRP) Solar Radio Burst List 1988-2023

description: A list of 3818 solar radio bursts from 1988-2023 (Japanese daylight time) derived from light curves of NoRP data at 1.0, 2.0, 3.75, 9.4, 17.0 and 35 GHz in an HTML file, with linked PDFs of the event light curves. A csv version of the catalog is also attached. The list includes timing, peak radio fluxes, GOES soft X-ray flare associations, where possible, and the highest (NASA) RHESSI satellite hard X-ray channel with a detection associated with the flare (RHESSI ceased operation in 2018). The list was produced by SW from data publicly available at the National Astronomical Observatory of Japan (NAOJ) website at http://solar.nro.nao.ac.jp/norp/xdr. For a description of NoRP and the data, see Shimojo & Iwai (2023; doi 10.1002/gdj3.165) and references therein.
DOI: 10.5281/zenodo.10730549
title: JIP HaSPro Loose Rock deformation data

description: Data associated with manuscript "Predicting loose rock scour protection deformation around monopiles using the relative mobility number and the Keulegan-Carpenter number" accepted for publication in Ocean Engineering (https://doi.org/10.1016/j.oceaneng.2024.117475).
DOI: 10.5281/zenodo.10730548
title: JIP HaSPro Loose Rock deformation data

description: Data associated with manuscript "Predicting loose rock scour protection deformation around monopiles using the relative mobility number and the Keulegan-Carpenter number" accepted for publication in Ocean Engineering (https://doi.org/10.1016/j.oceaneng.2024.117475).
DOI: 10.6084/m9.figshare.24599465
title: An updated checklist of the bryophytes of Italy, including the Republic of San Marino and Vatican City State

description: The present contribution offers an updated inventory of recorded bryophyte species for Italy, providing the regional distribution for each one. The checklist is based on literature data, revision of bryological collections from several Italian and foreign institutional or private herbaria and recent observations and reports. Five categories based on Natural Breaks have been identified to highlight the floristic diversity between the administrative regions. The checklist includes 1273 taxa (1220 species, 17 subspecies and 36 varieties). Among these, hornworts and liverworts are represented by 301 species, 5 subspecies and 4 varieties, grouped into 99 genera and 55 families, while mosses total 919 species, 12 subspecies and 32 varieties, grouped into 259 genera and 77 families. Such data is presented by a table distinguishing their presence before and after 1968, as well as indicating dubious species based on information relating to bibliographic data. Critical notes on distribution and taxonomy are included and, for ease of reference, synonyms are given for each species. In the last three years, the bryoflora of Italy has increased by 29 taxa. The analysis of the data showed that the regions with the highest peaks of the Alpine chain are the ones with the greatest biodiversity. Among the Apennine regions, Tuscany is the most floristically rich. Sardinia and Sicily have medium levels of biodiversity, favoured by their geomorphological diversity and insularity. For some regions, the low bryophyte richness is linked to the lack of research. Furthermore, the trend of scientific publications on bryophytes over the last 200 years is highlighted.
DOI: 10.6084/m9.figshare.24162711
title: Characterization of seed micro-morphometry and optimization of germination assay conditions of <i>Bergenia ciliata</i> - a highly valued medicinal plant

description: <i>Bergenia ciliata</i>, a valuable medicinal perennial herb, belongs to the family Saxifragaceae. It bears very minute seeds which exhibit poor viability, germination potential and storability. Thus, the present study aimed to analyze the seed characters and germination biology of this medicinal herb. The study revealed that seeds were irregular shaped and dark brown coloured with average length ∼0.93 mm and width ∼0.31 mm. Test weight of seeds ranged between 42.6 and 56.4 mg, and moisture content varied from 7.05 to 10.46%. To standardize the conditions required for germination, the experiment was conducted under different regimes of temperature either in the light or in the dark. Results revealed that mean germination time was shortest and germination percentage highest (94%) when seeds were incubated at 20 °C with light. Seed imbibition pattern was studied at 24 h intervals starting from day zero, and it was found that changes in seed dimensions were small during the first 24 h but were greatest between 24 and 48 h. The experiment also revealed that average length of 8-day old seedling was 4.71 mm whereas it was 5.92 mm with better proportion of root length in 10-day old seedlings.
DOI: 10.6084/m9.figshare.24162711.v1
title: Characterization of seed micro-morphometry and optimization of germination assay conditions of <i>Bergenia ciliata</i> - a highly valued medicinal plant

description: <i>Bergenia ciliata</i>, a valuable medicinal perennial herb, belongs to the family Saxifragaceae. It bears very minute seeds which exhibit poor viability, germination potential and storability. Thus, the present study aimed to analyze the seed characters and germination biology of this medicinal herb. The study revealed that seeds were irregular shaped and dark brown coloured with average length ∼0.93 mm and width ∼0.31 mm. Test weight of seeds ranged between 42.6 and 56.4 mg, and moisture content varied from 7.05 to 10.46%. To standardize the conditions required for germination, the experiment was conducted under different regimes of temperature either in the light or in the dark. Results revealed that mean germination time was shortest and germination percentage highest (94%) when seeds were incubated at 20 °C with light. Seed imbibition pattern was studied at 24 h intervals starting from day zero, and it was found that changes in seed dimensions were small during the first 24 h but were greatest between 24 and 48 h. The experiment also revealed that average length of 8-day old seedling was 4.71 mm whereas it was 5.92 mm with better proportion of root length in 10-day old seedlings.
DOI: 10.6084/m9.figshare.24237315
title: Mycorrhizal parameters of <i>Larix sibirica</i> fine roots across gradients of main environmental factors and altitude

description: Siberian larch (<i>Larix sibirica</i>) forests cover the largest areas in the Eurasian boreal zone, but the knowledge on its root system and ectomycorrhizas (EMs) are insufficient. The aim of this research is to find out whether the morphological parameters of <i>L. sibirica</i> EMs respond to the changes in altitude and main environmental factors. We measured the EM diameter, root diameter, mantle width and volume share, share of tannin cell layers, EM density and length of <i>L. sibirica</i> fine roots in four main types of habitats across the altitudinal gradient in the Urals. The diversity of fungal mantle types depended on the type of habitat. The minimal diversity of fungal mantles and the prevalence of plectenchymatous mantles were found in moister and unfertile habitats of sphagnous type. In other types of habitats, the diversity of fungal mantle types was approximately twice higher. A combination of factors (habitat type and altitude) significantly determined all quantitative parameters of the <i>Larix</i> EMs under study. We found a reduction in the EM linear dimensions with increasing altitude and a deterioration of environmental conditions, accompanied by a decrease in their functional parameters with a slight increase in the EM density and the share of nonmycorrhizal roots.
DOI: 10.6084/m9.figshare.24237315.v1
title: Mycorrhizal parameters of <i>Larix sibirica</i> fine roots across gradients of main environmental factors and altitude

description: Siberian larch (<i>Larix sibirica</i>) forests cover the largest areas in the Eurasian boreal zone, but the knowledge on its root system and ectomycorrhizas (EMs) are insufficient. The aim of this research is to find out whether the morphological parameters of <i>L. sibirica</i> EMs respond to the changes in altitude and main environmental factors. We measured the EM diameter, root diameter, mantle width and volume share, share of tannin cell layers, EM density and length of <i>L. sibirica</i> fine roots in four main types of habitats across the altitudinal gradient in the Urals. The diversity of fungal mantle types depended on the type of habitat. The minimal diversity of fungal mantles and the prevalence of plectenchymatous mantles were found in moister and unfertile habitats of sphagnous type. In other types of habitats, the diversity of fungal mantle types was approximately twice higher. A combination of factors (habitat type and altitude) significantly determined all quantitative parameters of the <i>Larix</i> EMs under study. We found a reduction in the EM linear dimensions with increasing altitude and a deterioration of environmental conditions, accompanied by a decrease in their functional parameters with a slight increase in the EM density and the share of nonmycorrhizal roots.
DOI: 10.6084/m9.figshare.24599465.v2
title: An updated checklist of the bryophytes of Italy, including the Republic of San Marino and Vatican City State

description: The present contribution offers an updated inventory of recorded bryophyte species for Italy, providing the regional distribution for each one. The checklist is based on literature data, revision of bryological collections from several Italian and foreign institutional or private herbaria and recent observations and reports. Five categories based on Natural Breaks have been identified to highlight the floristic diversity between the administrative regions. The checklist includes 1273 taxa (1220 species, 17 subspecies and 36 varieties). Among these, hornworts and liverworts are represented by 301 species, 5 subspecies and 4 varieties, grouped into 99 genera and 55 families, while mosses total 919 species, 12 subspecies and 32 varieties, grouped into 259 genera and 77 families. Such data is presented by a table distinguishing their presence before and after 1968, as well as indicating dubious species based on information relating to bibliographic data. Critical notes on distribution and taxonomy are included and, for ease of reference, synonyms are given for each species. In the last three years, the bryoflora of Italy has increased by 29 taxa. The analysis of the data showed that the regions with the highest peaks of the Alpine chain are the ones with the greatest biodiversity. Among the Apennine regions, Tuscany is the most floristically rich. Sardinia and Sicily have medium levels of biodiversity, favoured by their geomorphological diversity and insularity. For some regions, the low bryophyte richness is linked to the lack of research. Furthermore, the trend of scientific publications on bryophytes over the last 200 years is highlighted.
DOI: 10.6084/m9.figshare.24599465.v1
title: An updated Checklist of the Bryophytes of Italy, including the Republic of San Marino and Vatican City State

description: The present contribution offers an updated inventory of recorded bryophyte species for Italy, providing the regional distribution for each one. The checklist is based on literature data, revision of bryological collections from several Italian and foreign institutional or private herbaria and recent observations and reports. Five categories based on Natural Breaks have been identified to highlight the floristic diversity between the administrative regions. The checklist includes 1273 taxa (1220 species, 17 subspecies and 36 varieties). Among these, hornworts and liverworts are represented by 301 species, 5 subspecies and 4 varieties, grouped into 99 genera and 55 families, while mosses total 919 species, 12 subspecies and 32 varieties, grouped into 259 genera and 77 families. Such data is presented by a table distinguishing their presence before and after 1968, as well as indicating dubious species based on information relating to bibliographic data. Critical notes on distribution and taxonomy are included and, for ease of reference, synonyms are given for each species. In the last three years, the bryoflora of Italy has increased by 29 taxa. The analysis of the data showed that the regions with the highest peaks of the Alpine chain are the ones with the greatest biodiversity. Among the Apennine regions, Tuscany is the most floristically rich. Sardinia and Sicily have medium levels of biodiversity, favoured by their geomorphological diversity and insularity. For some regions, the low bryophyte richness is linked to the lack of research. Furthermore, the trend of scientific publications on bryophytes over the last 200 years is highlighted.
DOI: 10.5281/zenodo.10674506
title: Data for paper "An asymptotic Grad-Shafranov equation for quasisymmetric stellarators"
DOI: 10.5281/zenodo.10814485
title: Data for paper "An asymptotic Grad-Shafranov equation for quasisymmetric stellarators"
DOI: 10.5281/zenodo.10812278
title: Raw data from: New system to evaluate biostimulants capacity to activate plant development and physiology through brassinosteroid hormones receptors in yeast

description: This dataset contains supplementary data for the following publication:

New system to evaluate biostimulants capacity to activate plant development and physiology through brassinosteroid hormones receptors in yeast

 

Maribel Marquina, Montserrat Ricart-Fort, Rocío Díaz-Parra, Sandra López-Aviles, Tula Yance, Ignasi Salaet, Sergio Atares, Rosa Aligué.
DOI: 10.5281/zenodo.10696946
title: Raw data from: New system to evaluate biostimulants capacity to activate plant development and physiology through brassinosteroid hormones receptors in yeast

description: This dataset contains supplementary data for the following publication:

New system to evaluate biostimulants capacity to activate plant development and physiology through brassinosteroid hormones receptors in yeast

 

Maribel Marquina, Montserrat Ricart-Fort, Rocío Díaz-Parra, Sandra López-Aviles, Tula Yance, Ignasi Salaet, Sergio Atares, Rosa Aligué.
DOI: 10.5281/zenodo.10813256
title: Numerical data for "Signatures of Kondo-Majorana interplay in ac response"

description: Raw numerical data used to produce figures 2-8 in the article Signatures of Kondo-Majorana interplay in ac response, published as Phys. Rev. B 109, 075432 (2024), DOI:  10.1103/PhysRevB.109.075432, and other data obtained within the same project.
DOI: 10.5281/zenodo.10813255
title: Numerical data for "Signatures of Kondo-Majorana interplay in ac response"

description: Raw numerical data used to produce figures 2-8 in the article Signatures of Kondo-Majorana interplay in ac response, published as Phys. Rev. B 109, 075432 (2024), DOI:  10.1103/PhysRevB.109.075432, and other data obtained within the same project.
DOI: 10.5281/zenodo.8271334
title: T16s

description: T
DOI: 10.5281/zenodo.8271335
title: T16s

description: T
DOI: 10.5281/zenodo.10802195
title: KEANE (faKe nEws At seNtence lEvel) dataset.

description: This dataset is aimed at developing systems for detecting fake news. It contains links to articles, posts and other types of publications that have been previously evaluated by verifying entities. Sentence-level check-worthiness and fact-checking annotations are provided for each of these news items.