cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tsr3xs2krg.1
title: Code for Topological scale framework analysis of rs-fMRI networks of inhaled substance abuse

description: This dataset contains the full source code (and results) used in the study “Topological Scale Framework Analysis of rs-fMRI Networks of Inhaled Substance Abuse”. The aim of this research was to test the hypothesis that adolescents diagnosed with Inhaled Substance Abuse Disorder (ISAD) exhibit reduced structural complexity and robustness in their brain functional networks compared to healthy controls. To this end, we employed a topological scale framework (scale-space model) to extract multiscale algebraic descriptors from resting-state fMRI (rs-fMRI) correlation matrices.

The dataset includes three Python files: the functions module – implements the scale-space model, hypergraph construction, and descriptor computation; an analysis script – loads subject-specific correlation matrices, applies the scale-space framework, and computes descriptors across scales; a comparison script – performs statistical analysis of descriptors (MANOVA, permutation tests, and OLS regression) to evaluate group differences.

The correlation matrices used in the study are not included here due to data-sharing restrictions. However, they are publicly available from the dataset repository described in Mijangos et al. (2024), which must be downloaded separately. The present code is fully compatible with that dataset and allows complete reproduction of the reported results once the matrices are obtained. Our analyses demonstrated that ISAD subjects show increased network fragmentation, reduced incidence matrix rank, and overall lower mean vertex degree across scales. Furthermore, statistical testing confirmed diagnosis as the only significant explanatory factor, with 31 out of 48 descriptors strongly associated with ISAD. These findings support the hypothesis of reduced topological robustness in ISAD-affected brain networks and highlight the sensitivity of the scale-space model to scale-dependent degradation.

Researchers can reuse this dataset to apply the scale-space model to other rs-fMRI or neuroimaging datasets; extend the topological analysis framework to different networked data, such as social, biological, or computational systems; and reproduce or benchmark alternative topological descriptors against those used in this study.

The scripts are documented with comments and a README file describing dependencies and usage instructions.
DOI: 10.17632/zbf74w4x6k
title: LINF_260022800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zbf74w4x6k.1
title: LINF_260022800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/7g6w628drg
title: Characterization of potentially toxic elements in road dust from industrial and non-industrial areas in jinan city

description: Characteristics of PTEs in road dust from industrial and non-industrial areas in jinan city:
1. Background PTEs data in soil.
2. Particle size distribution of road dust.
3. PTEs concentration distribution across three road dust particle size fractions.
4. PTEs enrichment factors across three road dust particle size fractions.
5. PMF modeling results for PTEs across three road dust particle size fractions.
6. Bioavailability of PTEs across three road dust particle size fractions.
7. Mantel-test results, including correlations and significance levels.
DOI: 10.17632/7g6w628drg.1
title: Characterization of potentially toxic elements in road dust from industrial and non-industrial areas in jinan city

description: Characteristics of PTEs in road dust from industrial and non-industrial areas in jinan city:
1. Background PTEs data in soil.
2. Particle size distribution of road dust.
3. PTEs concentration distribution across three road dust particle size fractions.
4. PTEs enrichment factors across three road dust particle size fractions.
5. PMF modeling results for PTEs across three road dust particle size fractions.
6. Bioavailability of PTEs across three road dust particle size fractions.
7. Mantel-test results, including correlations and significance levels.
DOI: 10.17632/7x7vwkg8nr
title: Gasoline-Methanol
DOI: 10.17632/7x7vwkg8nr.1
title: Gasoline-Methanol
DOI: 10.17632/m6d752t4cz
title: Dataset for Systematic Literature Review on Process Mining

description: This dataset contains detailed information from a Systematic Literature Review (SLR) on Process Mining, including bibliographic data, methodologies, and key findings from selected research papers.

This study presents a Systematic Literature Review (SLR) on Process Mining, aiming to analyze the evolution, trends, and challenges in the field. By applying a structured search strategy across multiple digital libraries, we identify, classify, and synthesize relevant research works. The study provides insights into methodologies, application domains, and emerging directions in process mining, offering a comprehensive overview for researchers and practitioners.

The repository contains the following files:

01_DataExtraction.xlsx: provides a structured overview of the study process. It includes a brief description of the dataset, the systematic data extraction for all GPS entries, and a quality assessment to evaluate the reliability of the extracted information. Additionally, it contains a short analysis of each selected GPS, offering a concise yet comprehensive perspective on the main findings.

02_Search_Query_dataset.xlsm: provides a comprehensive record of the studies retrieved from digital libraries, detailing which articles were selected for analysis and which were excluded based on predefined criteria. This dataset ensures transparency in the selection process and facilitates reproducibility in systematic literature reviews.

03_Groups_of_Primary_Studies.xlsm: categorizes independent studies in process mining, organizing them based on their authorship, title, year, and publication source. This classification ensures a structured overview of relevant research, facilitating the evaluation and comparison of contributions within the field.

04_Answer_QA.xlsm: presents a structured assessment of the methodological quality of selected studies, evaluating key criteria to determine their rigor, reliability, and applicability in process mining research.
DOI: 10.17632/m6d752t4cz.1
title: Dataset for Systematic Literature Review on Process Mining

description: This dataset contains detailed information from a Systematic Literature Review (SLR) on Process Mining, including bibliographic data, methodologies, and key findings from selected research papers.

This study presents a Systematic Literature Review (SLR) on Process Mining, aiming to analyze the evolution, trends, and challenges in the field. By applying a structured search strategy across multiple digital libraries, we identify, classify, and synthesize relevant research works. The study provides insights into methodologies, application domains, and emerging directions in process mining, offering a comprehensive overview for researchers and practitioners.

The repository contains the following files:

01_DataExtraction.xlsx: provides a structured overview of the study process. It includes a brief description of the dataset, the systematic data extraction for all GPS entries, and a quality assessment to evaluate the reliability of the extracted information. Additionally, it contains a short analysis of each selected GPS, offering a concise yet comprehensive perspective on the main findings.

02_Search_Query_dataset.xlsm: provides a comprehensive record of the studies retrieved from digital libraries, detailing which articles were selected for analysis and which were excluded based on predefined criteria. This dataset ensures transparency in the selection process and facilitates reproducibility in systematic literature reviews.

03_Groups_of_Primary_Studies.xlsm: categorizes independent studies in process mining, organizing them based on their authorship, title, year, and publication source. This classification ensures a structured overview of relevant research, facilitating the evaluation and comparison of contributions within the field.

04_Answer_QA.xlsm: presents a structured assessment of the methodological quality of selected studies, evaluating key criteria to determine their rigor, reliability, and applicability in process mining research.
DOI: 10.17632/wfkjhhdsmd
title: LINF_260023500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/wfkjhhdsmd.2
title: LINF_260023500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/dv7wn5m8vj
title: LINF_260023700

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/dv7wn5m8vj.1
title: LINF_260023700

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/sjttrt5pz4
title: LINF_260024200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/sjttrt5pz4.1
title: LINF_260024200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/fjs4z76gnk
title: The tree species classification data in 2021 in Shangri-La, China

description: We proposed a new tree species classification framework based on the Google Earth Engine (GEE) and multisource data that optimizes feature level and decision level simultaneously, namely, the feature-decision (F-D) cloud computing framework. Ultimately, a comprehensive model integrating feature reduction and classifier ensemble was constructed, and 10-meter-level classification of 11 tree species in Shangri-La were implemented.
DOI: 10.17632/fjs4z76gnk.1
title: The tree species classification data in 2021 in Shangri-La, China

description: We proposed a new tree species classification framework based on the Google Earth Engine (GEE) and multisource data that optimizes feature level and decision level simultaneously, namely, the feature-decision (F-D) cloud computing framework. Ultimately, a comprehensive model integrating feature reduction and classifier ensemble was constructed, and 10-meter-level classification of 11 tree species in Shangri-La were implemented.
DOI: 10.15468/dl.ywc2xg
title: Occurrence Download

description: A dataset containing 3795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alonella, Anisocentropus, Anopheles, Aphelocheirus schoutedeni, Aphelocheirus, Atherix, Athripsodes prionii, Atrichopogon, , Aulophorus, Bezzia, Biomphalaria pfeifferi, Biomphalaria, Branchiura sowerbyi, Branchiura, Canthydrus notula, Canthydrus, Caridina nilotica, Caridina typus, Catoxyethira, Ceratogomphus, Ceriodaphnia, Chaetogaster, Chaoborus, Chlorocypha, Chrysops, Chydorus, Clinotanypus, Corynoneura, Culicoides, Cyclops, Cypridopsis, Cyprilla, , Dineutus, Dryops, Ecnomus thomasseti, Elattoneura, Enallagma, Ephoron, Eubrianax, Forcipomyia, Goerodes, Gomphocythere, Helminthopsis, Hemerodromia, Hydaticus dorsiger, Hydaticus, Hydra, Hydrellia, Hydropsyche, Hyphydrus, Ilyocryptus, Isocypris, Laccophilus flaveolus, Laccophilus lineatus, Laccophilus modestus, Laccophilus pellucidus, Leptelmis, Leptocerus, Lestes, Limnodrilus, Limnophora, Lobelmis, Machadorythus, Macrobrachium equidens, Macrobrachium, Macromia, Micronecta dimidiata, Naucoris obscuratus, Naucoris, Notonurus, Nychia, Oecetis, Orthotrichia, Pachyelmis, Palpomyia, Paracyclops, Paragomphus, Parasetodes, Phaon, Pionocypris, Pleuroxus, Polyplectropus, Potamodytes, Potamogethes, Pristina, Procladius, Prosopistoma, Pseudagrion gigas, Pseudagrion hageni, Pseudagrion kersteni, Pseudagrion salisburyense, Pseudancyronyx, Maruina, Pericoma, Ranatra, Rhantaticus congestus, Rhantaticus, Rheotanytarsus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 3795 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020071-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c4f4r2ht6p
title: Diversity of domestic and imported assemblages of Giardia in Norway and multi-locus sequence typing of domestic assemblage A isolates

description: The dataset is linked to the article accepted for publication in the International Journal for Parasitology (accepted on 26 August 2025 and published online on 1 September 2025).

This study represents the first Giardia subtyping study in Norway, showing that sub-assemblage AII was predominant in domestic cases, while sub-assemblage BIV was common in imported cases. We also identified high genetic diversity among domestic assemblage A isolates, including five novel MLST variants.

The dataset contains the clinical data (for confidentiality, no patient identities are disclosed in this dataset) and all corresponding sequences in FASTA format. Sequence analyses were performed using Geneious Prime® (version 2025.0.3).

Here is the link of the article: https://www.sciencedirect.com/science/article/pii/S002075192500164X
DOI: 10.17632/c4f4r2ht6p.1
title: Diversity of domestic and imported assemblages of Giardia in Norway and multi-locus sequence typing of domestic assemblage A isolates

description: The dataset is linked to the article accepted for publication in the International Journal for Parasitology (accepted on 26 August 2025 and published online on 1 September 2025).

This study represents the first Giardia subtyping study in Norway, showing that sub-assemblage AII was predominant in domestic cases, while sub-assemblage BIV was common in imported cases. We also identified high genetic diversity among domestic assemblage A isolates, including five novel MLST variants.

The dataset contains the clinical data (for confidentiality, no patient identities are disclosed in this dataset) and all corresponding sequences in FASTA format. Sequence analyses were performed using Geneious Prime® (version 2025.0.3).

Here is the link of the article: https://www.sciencedirect.com/science/article/pii/S002075192500164X
DOI: 10.17632/s4ghyzpwn6
title: Mothers’ Timing of Antiretroviral Therapy Initiation and HIV Status of Child at 18 Months in Ibadan Metropolis

description: This is a retrospective cohort data of 610 women living with HIV and 611 of their children extracted from the National PMTCT Maternal Cohort Register (NPMCR) and the National PMTCT Child Follow-up Register (NPCFR) of four selected HIV treatment centres in Ibadan metropolis, Oyo State. It contains mothers' age, education, viral load before and at delivery, timing of ART initiation, child sex, birth weight, and the child’s HIV status at 18 months.
DOI: 10.17632/s4ghyzpwn6.1
title: Mothers’ Timing of Antiretroviral Therapy Initiation and HIV Status of Child at 18 Months in Ibadan Metropolis

description: This is a retrospective cohort data of 610 women living with HIV and 611 of their children extracted from the National PMTCT Maternal Cohort Register (NPMCR) and the National PMTCT Child Follow-up Register (NPCFR) of four selected HIV treatment centres in Ibadan metropolis, Oyo State. It contains mothers' age, education, viral load before and at delivery, timing of ART initiation, child sex, birth weight, and the child’s HIV status at 18 months.
DOI: 10.17632/nzkv23hz3p.3
title: INO80/SWR Remodelers Regulate Pol II Transcription through BRD2 and Chromatin Landscape

description: The original Western blot images in the article
DOI: 10.15468/dl.e4mxgj
title: Occurrence Download

description: A dataset containing 2188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amphiprion ocellaris"
 ]
}

 The dataset includes 2188 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020072-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e29dbw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cymbella, Cymbella aspera, Cymbella cymbiformis, Cymbella kolbei, Cymbella neocistula, Cymbella subleptoceros, , , Cymbella naviculiformis, Denticula subtilis, Denticula, Denticula sundaysensis, Desmococcus, , Diadesmis, , Diatoma, Diatoma vulgaris, Dichothrix, Dicranochaete, Dinobryon, Diploneis, , Diploneis oblongella, , Discostella, Elakatothrix, Encyonema, Cymbella mesiana, , Encyonema neogracile, , Encyonema ventricosum, Encyonopsis, Encyonopsis leei, Cymbella raytonensis, Encyonopsis subminuta, Entomoneis, Eolimna, Eolimna subminuscula, , Epithemia, , Euglena gracilis, Euglena, Eunotia, Eunotia bilunaris, Eunotia exigua, , Eunotia formica, Eunotia incisa, Eunotia minor, Eunotia rhomboidea, Eutreptiella, , Fistulifera saprophila, Fistulifera, Fottiella, Fragilaria, Fragilaria biceps, Fragilaria crotonensis, Pseudostaurosira, Fragilaria capucina, Synedra, , Navicula crassinervia, Rhopalodia, Frustulia rostrata, Frustulia saxonica, Frustulia, , Geissleria decussis, Geissleria, Geminella, Gloeocapsa, Gloeocystis, Gloeothece, Gomphonema, Gomphonema acuminatum, , Gomphonema angusta, Gomphonema truncatum, Gomphonema clavatum, Gomphonema exilissimum, Gomphonema insigne, Gomphonema italicum, Gomphonema lagenula, Gomphonema laticollum, Gomphonema minutum, Gomphonema parvulum, Gomphonema pseudoaugur, Gomphonema vibrio, Gomphonema venusta, Gongrosira, Gymnodinium, Gyrosigma, Gyrosigma acuminatum, Gyrosigma attenuatum, Gyrosigma rautenbachiae, Hantzschia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020073-250827131500795/datasets/export for details.
DOI: 10.15468/dl.cgksgz
title: Occurrence Download

description: A dataset containing 1100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Paracanthurus hepatus"
 ]
}

 The dataset includes 1100 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020074-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k3mcvj9m9f.1
title: Personal Data Protection Systems and Earnings Management

description: Given the close linkage between earnings management and the accounting institutional environment, we select a sample of Chinese A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2009 to 2023. This timeframe follows China’s implementation of new accounting standards designed to converge with International Financial Reporting Standards in 2006. By around 2008, these standards had been widely adopted by listed firms, providing an institutional foundation for the comparability of financial information.
We apply the following exclusions: (1) financial industry firms; (2) firms with special treatment or other abnormal statuses; and (3) observations with missing data. To address outliers, we winsorize continuous variables at the 1st and 99th percentiles. The resulting sample comprises 13,108 firm-year observations. All financial data are obtained from the China Stock Market & Accounting Research database.
DOI: 10.17632/x6s4vsjd85
title: bijielandslides

description: bijie landslides dataset
DOI: 10.17632/x6s4vsjd85.1
title: bijielandslides

description: bijie landslides dataset
DOI: 10.17632/d798g4jzdw
title: NDVI_NBR_DOI:10.20944/preprints202508.0467.v1

description: NDVI and NBR data in burnt area by great fires in Castellon province, 1990-2024 used in DOI:10.20944/preprints202508.0467.v1
DOI: 10.17632/d798g4jzdw.1
title: NDVI_NBR_DOI:10.20944/preprints202508.0467.v1

description: NDVI and NBR data in burnt area by great fires in Castellon province, 1990-2024 used in DOI:10.20944/preprints202508.0467.v1
DOI: 10.17632/brxfztfmnd
title: Supporting data for red-silt interbeds in lava flows as archives of volcanism, Asian dust, and climate Interactions: geochemical and mineralogical comparisons with source soils and aeolian deposits

description: Data includes geochemical and mineralogical data from aeolian deposits of Jeju Island and Korean Peninsula with source soils in Gobi Desert, obtained by spectroscopic and X-ray diffraction analyses. These data are used to construct diagrams in our manuscript on the origin of red-silt sediments in Jeju Island.
DOI: 10.17632/brxfztfmnd.1
title: Supporting data for red-silt interbeds in lava flows as archives of volcanism, Asian dust, and climate Interactions: geochemical and mineralogical comparisons with source soils and aeolian deposits

description: Data includes geochemical and mineralogical data from aeolian deposits of Jeju Island and Korean Peninsula with source soils in Gobi Desert, obtained by spectroscopic and X-ray diffraction analyses. These data are used to construct diagrams in our manuscript on the origin of red-silt sediments in Jeju Island.
DOI: 10.5281/zenodo.16952912
title: Mutation Learning Graph
DOI: 10.15468/dl.zts85f
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynanchum gerrardi",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 301 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020075-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kkbf9tm6j6.1
title: Rose disease identification using the state of art deep learning techniques

description: Roses are among the most cherished ornamental plants worldwide, and their health is crucial for both commercial cultivation and aesthetic value. This dataset focuses on developing an efficient and accurate system for detecting diseases in rose. This dataset is ideal for machine learning tasks involving image classification, recognition, and other computer vision applications. 

Dataset was collected through field visits to Golaap Gram and Daffodil Nursery. This dataset presents 1,038 Rose image where,
Healthy rose: 525 and 
Defect rose: 515.
DOI: 10.17632/s7zm8vvk9f
title: data in CMA

description: Extracted data for calculating pooled effects in CMA
DOI: 10.17632/s7zm8vvk9f.1
title: data in CMA

description: Extracted data for calculating pooled effects in CMA
DOI: 10.15468/dl.76m76w
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is one of (Jalisco, Jalisco (JA), Jal, Jalisco (State))",
 "TaxonKey is Cervidae"
 ]
}

 The dataset includes 518 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020078-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.