cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28568999
title: <b>A Dataset on Enhancing Human Visual Comfort of the Lighting System in an Art Galleries Design, Lagos, Nigeria</b>

description: A data article presenting A Dataset on Enhancing Human Visual Comfort of the Lighting System in an Art Galleries Design, Lagos, Nigeria. The type of data includes Tables, Figures and Charts. the researchers developed and distributed an on-ground (field) survey questionnaire to building art gallery users (architects, lighting experts, visitors, artists and workers). Consequently, two research assistants covered three case studies (Nike Art Gallery, Hour Glass Art Gallery and Nimbus Art Gallery) in Lagos, Nigeria, to acquire responses in person. The investigator covered the first two galleries, and the research assistant covered one gallery. The questions were structured to gather information about the socio-demographics of the survey respondents and their perceptions of how the existing lighting design in the spaces enhances the visual quality/comfort of the users. The information to be retrieved included the art forms within the art galleries and the opinions of the informed and uninformed (regarding lighting in art galleries) on the appropriateness and importance of different lighting systems and strategies. The data format is both raw and analysed. The authors extracted data through a semi-structured questionnaire from the one hundred and five respondents who completed the questionnaires. The authors selected thirty (30) respondents from the Nike art gallery, fifty-five (55) from the Hourglass art gallery and twenty-five (25) respondents from the Nimbus Art Gallery, all within Lagos, Nigeria. The survey was conducted on the ground using semi-structured questionnaires by two M.Sc. architecture students from July to September 2022. Respondents were to complete a questionnaire comprising nine (9) questions about respondents’ socio-economic status, ten (10) questions about lighting design in an art gallery and seven (7) questions to measure visual quality/comfort characters in an art gallery exhibition space. The 26 questions were adopted from previous studies. The research assistant undertook the main data gathering for three months –morning and evening, during the weekend, Fridays - and Sundays for twelve weeks. The data source location for this research is Lagos Island, Lagos, Nigeria.
DOI: 10.6084/m9.figshare.28568999.v1
title: <b>A Dataset on Enhancing Human Visual Comfort of the Lighting System in an Art Galleries Design, Lagos, Nigeria</b>

description: A data article presenting A Dataset on Enhancing Human Visual Comfort of the Lighting System in an Art Galleries Design, Lagos, Nigeria. The type of data includes Tables, Figures and Charts. the researchers developed and distributed an on-ground (field) survey questionnaire to building art gallery users (architects, lighting experts, visitors, artists and workers). Consequently, two research assistants covered three case studies (Nike Art Gallery, Hour Glass Art Gallery and Nimbus Art Gallery) in Lagos, Nigeria, to acquire responses in person. The investigator covered the first two galleries, and the research assistant covered one gallery. The questions were structured to gather information about the socio-demographics of the survey respondents and their perceptions of how the existing lighting design in the spaces enhances the visual quality/comfort of the users. The information to be retrieved included the art forms within the art galleries and the opinions of the informed and uninformed (regarding lighting in art galleries) on the appropriateness and importance of different lighting systems and strategies. The data format is both raw and analysed. The authors extracted data through a semi-structured questionnaire from the one hundred and five respondents who completed the questionnaires. The authors selected thirty (30) respondents from the Nike art gallery, fifty-five (55) from the Hourglass art gallery and twenty-five (25) respondents from the Nimbus Art Gallery, all within Lagos, Nigeria. The survey was conducted on the ground using semi-structured questionnaires by two M.Sc. architecture students from July to September 2022. Respondents were to complete a questionnaire comprising nine (9) questions about respondents’ socio-economic status, ten (10) questions about lighting design in an art gallery and seven (7) questions to measure visual quality/comfort characters in an art gallery exhibition space. The 26 questions were adopted from previous studies. The research assistant undertook the main data gathering for three months –morning and evening, during the weekend, Fridays - and Sundays for twelve weeks. The data source location for this research is Lagos Island, Lagos, Nigeria.
DOI: 10.17632/3mxpwn4tp4.1
title: LINF_100008400

description: BRCT domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/6py7fp89cb.1
title: LINF_100008200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vxxx3zvwnt.1
title: LINF_100008000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/k65g5tnzcg.1
title: LINF_100007900

description: 4a-hydroxytetrahydrobiopterin dehydratase; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.t6dm4v
title: Occurrence Download

description: A dataset containing 4695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "Continent is one of (North America, South America)",
 "Geometry POLYGON((-115 -24,-25 -24,-25 24,-115 24,-115 -24))",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Occurrence status inferred from individual count)",
 "IucnRedListCategory is one of (LC, NT, VU)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Leopardus wiedii (Schinz, 1821), Leopardus tigrinus (Schreber, 1775), Leopardus pardalis (Linnaeus, 1758))",
 "Year 2001-2024"
 ]
}

 The dataset includes 4695 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000985-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jj24yrnt8g.1
title: LINF_100007800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.15001874
title: Dataset : Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context

description: This dataset contains 7 tree species classification maps generated as part of the research presented in the journal paper:  Florian Mouret, David Morin, Milena Planells, Cécile Vincent-Barbaroux. Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context. https://doi.org/10.48550/arXiv.2408.08887

The maps, stored in GeoTIFF format, represent pixel-level classifications of 10 tree species in Centre-Val de Loire, France. They were derived from Sentinel-2 time series acquired between 2019 and 2020. The maps have a spatial resolution of 10 meters. These maps illustrate the performance of the Random Forest algorithm and different deep learning models in classifying tree species based on multispectral time series data. The analysis focuses on the problem of imbalanced data, where the training data is largely dominated by oak. They are derived from the model outputs discussed in the associated journal paper. 

The maps were generated using the Python library iota2: https://framagit.org/fl.mouret/tree_species_classification_iota2

Keywords: tree species classification, deep learning, multispectral, remote sensing, time series, pixel-level, imbalanced data.
DOI: 10.5281/zenodo.15001875
title: Dataset : Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context

description: This dataset contains 7 tree species classification maps generated as part of the research presented in the journal paper:  Florian Mouret, David Morin, Milena Planells, Cécile Vincent-Barbaroux. Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context. https://doi.org/10.48550/arXiv.2408.08887

The maps, stored in GeoTIFF format, represent pixel-level classifications of 10 tree species in Centre-Val de Loire, France. They were derived from Sentinel-2 time series acquired between 2019 and 2020. The maps have a spatial resolution of 10 meters. These maps illustrate the performance of the Random Forest algorithm and different deep learning models in classifying tree species based on multispectral time series data. The analysis focuses on the problem of imbalanced data, where the training data is largely dominated by oak. They are derived from the model outputs discussed in the associated journal paper. 

The maps were generated using the Python library iota2: https://framagit.org/fl.mouret/tree_species_classification_iota2

Keywords: tree species classification, deep learning, multispectral, remote sensing, time series, pixel-level, imbalanced data.
DOI: 10.17632/8399t6p69y.1
title: LINF_090022700

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/p5xfnghy8z.1
title: LINF_090022300

description: Sulfurtransferase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/j4b2dwgmsw.1
title: LINF_090021400

description: F-box domain-containing protein | Flp8; Leishmania infantum (strain JPCM5)
DOI: 10.17632/cg53y8nzxc.1
title: LINF_090021300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/7sgn4nxy92.1
title: Supplementary Materials_A Novel Composite Derived from Quartzite Waste Powder as Adsorbent for Efficient Removal of Industrial Dyes

description: The supplementary materials include the images of the untreated quartzite powder and the prepared composite; Profile related to physisorption of N2 gaseous isotherms at 77.2 K onto the CQ composite; EDS spectra of the CQ composite before and after adsorption experiments; Graphs related to pH at the point of zero charge (pHpzc) of the CQ composite; Comparative studies related to adsorption capacity of CQ and its individual components; Nonlinear regression curves of the experimental data to the theoretical models of PFO, PSO, Elovich, and Avrami for fractional order; and Performance of experimental adsorption equilibrium replicates for MB and RB5 on CQ under varying temperature conditions.
DOI: 10.5281/zenodo.14052623
title: Supplementary tables Chapter 4
DOI: 10.5281/zenodo.14052624
title: Supplementary tables Chapter 3
DOI: 10.5281/zenodo.14577792
title: Supplementary tables Chapter 4
DOI: 10.5281/zenodo.15001972
title: Supplementary tables Chapter 4
DOI: 10.15468/dl.h6jfna
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quadrastichus haitiensis (Gahan, 1929)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000987-250310093411724/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.28569137
title: Forecast uploaded on March 10 regarding the performance of Apple's stock (“On March 20, 2025, Apple's stock will be higher than on March 15, 2025.”)

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.17632/vyyzd2gx5v.2
title: Data of contour method reconstruction of residual stresses in the additively manufactured bridge structures

description: The dataset includes original data spanning smoothness factors from 0.05 to 1.0 in increments of 0.005, along with the raw data (smoothness factor 0.0) and the meshed domain of the numerical model. This data supports the residual stress analysis of a selective laser melting (SLM) additively manufactured Inconel 718 bridge structure using the OxCM contour method solver.
DOI: 10.17632/vyyzd2gx5v.3
title: Data of contour method reconstruction of residual stresses in the additively manufactured bridge structures

description: The dataset includes original data spanning smoothness factors from 0.05 to 1.0 in increments of 0.005, along with the raw data (smoothness factor 0.0) and the meshed domain of the numerical model. This data supports the residual stress analysis of a selective laser melting (SLM) additively manufactured Inconel 718 bridge structure using the OxCM contour method solver.
DOI: 10.17632/hx6m853xks.1
title: Factors Influencing Chinese University Students' Learning Attitudes and Intentions for Continuous Use of Artificial Intelligence Courses

description: This study conducted a survey targeting university students in mainland China who are currently using AI software, aiming to analyze their usage patterns and the impact on their learning. A total of 301 valid responses were collected from students across various universities in China, covering different academic levels and disciplines to ensure data representativeness.

Through this research, we seek to understand the frequency of AI software usage, its primary application scenarios (such as academic research, coursework assistance, or daily use), and the influence of university AI courses on students’ adoption of AI software. Additionally, the study explores how AI software alters students’ learning approaches, such as whether it enhances learning efficiency, affects self-directed learning abilities, or raises concerns about AI ethics and future career development.
DOI: 10.17632/5rmskrvh6g.2
title: A Dataset for Translating Local Bangla (Sylheti) Dialects into Standard Bangla

description: This dataset comprises 1126 parallel sentences designed to translate Sylheti dialects into Standard Bangla, addressing the lack of digital and linguistic resources for Sylheti. The data is structured into two column:

Sylheti Sentences: Original sentences in Sylheti.
Standard Bangla Sentences: Corresponding translations to standard bangla sentences.
The corpus was curated from diverse sources such as Bangladeshi newspapers, social media, and native speakers. Rigorous preprocessing ensured sentence alignment, linguistic accuracy, and consistency.

Applications
Machine Translation
Text Classification
Named Entity Recognition (NER)
Sentiment Analysis
Language Modeling
DOI: 10.17632/5rmskrvh6g.1
title: A Dataset for Translating Local Bangla (Sylheti) Dialects into Standard Bangla

description: This dataset comprises 1126 parallel sentences designed to translate Sylheti dialects into Standard Bangla, addressing the lack of digital and linguistic resources for Sylheti. The data is structured into two column:

Sylheti Sentences: Original sentences in Sylheti.
Standard Bangla Sentences: Corresponding translations to standard bangla sentences.
The corpus was curated from diverse sources such as Bangladeshi newspapers, social media, and native speakers. Rigorous preprocessing ensured sentence alignment, linguistic accuracy, and consistency.

Applications
Machine Translation
Text Classification
Named Entity Recognition (NER)
Sentiment Analysis
Language Modeling
DOI: 10.5281/zenodo.15001933
title: Morphodynamic Data
DOI: 10.5281/zenodo.15001934
title: Morphodynamic Data
DOI: 10.17632/5rmskrvh6g.3
title: A Dataset for Translating Local Bangla (Sylheti) Dialects into Standard Bangla

description: This dataset comprises 5002 parallel sentences designed to translate Sylheti dialects into Standard Bangla, addressing the lack of digital and linguistic resources for Sylheti. The data is structured into two column:

Sylheti Sentences: Original sentences in Sylheti.
Standard Bangla Sentences: Corresponding translations to standard bangla sentences.
The corpus was curated from diverse sources such as Bangladeshi newspapers, social media, and native speakers. Rigorous preprocessing ensured sentence alignment, linguistic accuracy, and consistency.

Applications
Machine Translation
Text Classification
Named Entity Recognition (NER)
Sentiment Analysis
Language Modeling
DOI: 10.15468/dl.xqe2b8
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-167.43804 49.93297,-112.16914 49.93297,-112.16914 72.75455,-167.43804 72.75455,-167.43804 49.93297))",
 "HasGeospatialIssue is false",
 "TaxonKey is Eumetopias Gill, 1866",
 "Year 2024-2025"
 ]
}

 The dataset includes 287 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000988-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z9vn8mr4r5.1
title: LINF_090023100

description: CEP135-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.q4b9q2
title: Occurrence Download

description: A dataset containing 181528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arctostaphylos uva-ursi (L.) Spreng.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 181528 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000977-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15001981
title: O'ZBEKISTONDA YETISHTIRILAYOTGAN DORIVOR KOVRAKNI SHIFOBAXSH XUSUSIYATLARI

description: Kovrak (Ferula) — ziradoshlar (soyabonguldoshlar) oilasiga mansub koʻp yillik oʻtlar turkumi. Oʻzbekistonda 45 turi oʻsadi.
DOI: 10.5281/zenodo.15001982
title: O'ZBEKISTONDA YETISHTIRILAYOTGAN DORIVOR KOVRAKNI SHIFOBAXSH XUSUSIYATLARI

description: Kovrak (Ferula) — ziradoshlar (soyabonguldoshlar) oilasiga mansub koʻp yillik oʻtlar turkumi. Oʻzbekistonda 45 turi oʻsadi.
DOI: 10.17632/34cz8jx3d4.1
title: LINF_090023200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.tcc5kv
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.32_1",
 "TaxonKey is Euphilotes rita (Barnes & McDunnough, 1916)"
 ]
}

 The dataset includes 117 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000990-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86m6ew
title: Occurrence Download

description: A dataset containing 106602570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Aves",
 "Year 1981-2025"
 ]
}

 The dataset includes 106602570 records from 367 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000976-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15001453
title: Normalized mean streamwise velocity variations, averaged across the rotor swept area, along the streamwise direction over rigid and live beds at equilibrium state
DOI: 10.5281/zenodo.15001454
title: Normalized mean streamwise velocity variations, averaged across the rotor swept area, along the streamwise direction over rigid and live beds at equilibrium state
DOI: 10.15468/dl.ws9jpu
title: Occurrence Download

description: A dataset containing 147858264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 147858264 records from 7434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000951-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc1ncghz
title: CCDC 1530361: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Alison B. Altman, Trevor D. Lohrey, Stephan Hohloch, John Arnold|2017|Chemical Science|8|5153|doi:10.1039/C7SC01835E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ncgj0
title: CCDC 1530362: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Alison B. Altman, Trevor D. Lohrey, Stephan Hohloch, John Arnold|2017|Chemical Science|8|5153|doi:10.1039/C7SC01835E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ncgk1
title: CCDC 1530363: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Alison B. Altman, Trevor D. Lohrey, Stephan Hohloch, John Arnold|2017|Chemical Science|8|5153|doi:10.1039/C7SC01835E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ncgl2
title: CCDC 1530364: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Alison B. Altman, Trevor D. Lohrey, Stephan Hohloch, John Arnold|2017|Chemical Science|8|5153|doi:10.1039/C7SC01835E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ncgm3
title: CCDC 1530365: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Alison B. Altman, Trevor D. Lohrey, Stephan Hohloch, John Arnold|2017|Chemical Science|8|5153|doi:10.1039/C7SC01835E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ncgn4
title: CCDC 1530366: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Alison B. Altman, Trevor D. Lohrey, Stephan Hohloch, John Arnold|2017|Chemical Science|8|5153|doi:10.1039/C7SC01835E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.