cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9r93m9s7cw
title: Improved land mask for satellite remote sensing of oceans and inland waters

description: This data set describes an improved global land/water mask for satellite ocean color studies in a medium resolution (~230m/pixel; or 480 pixels per degree of longitude or latitude), which was derived from an earlier version (dating back to 2021, https://doi.org/10.17632/9r93m9s7cw.1), and updated to reflect recent changes in mostly coastal and inland water cover.

Please acknowledge any use of this data set by citing the following reference, as well as any subsequent derived work documenting any updates:

K. Mikelsons, M. Wang, X. Wang, and L. Jiang, Global land mask for satellite ocean color remote sensing, Remote Sens. Environ., 257, 112356 (2021). https://doi.org/10.1016/j.rse.2021.112356

The earlier version of this data set was derived from five data sources described in the following references:

[1] Carroll, M. L., Townshend, J. R., DiMiceli, C. M., Noojipady, P., and Sohlberg, R. A. (2009), A new global raster water mask at 250 m resolution, Int. J. Digit. Earth, 2, 291–308.

[2] Carroll, M. L., DiMiceli, C. M., Townshend, J. R., Sohlberg, R. A., Elders, A. I., Devadiga, S., Sayer, A. M., and Levy, R. C. (2017), Development of an operational land water mask for MODIS Collection 6, and influence on downstream data products, Int. J. Digit. Earth, 10, 207–218.

[3] Pekel, J. F., Cottam, A., Gorelick, N., and Belward, A. S. (2016), High-resolution mapping of global surface water and its long-term changes, Nature, 540, 418–422.

[4] Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., and Townsend, J. R. G. (2013), High-resolution global maps of 21st-century forest cover change, Science, 342, 850–853.

[5] www.OpenStreetMap.org
DOI: 10.17632/9r93m9s7cw.2
title: Improved land mask for satellite remote sensing of oceans and inland waters

description: This data set describes an improved global land/water mask for satellite ocean color studies in a medium resolution (~230m/pixel; or 480 pixels per degree of longitude or latitude), which was derived from an earlier version (dating back to 2021, https://doi.org/10.17632/9r93m9s7cw.1), and updated to reflect recent changes in mostly coastal and inland water cover.

Please acknowledge any use of this data set by citing the following reference, as well as any subsequent derived work documenting any updates:

K. Mikelsons, M. Wang, X. Wang, and L. Jiang, Global land mask for satellite ocean color remote sensing, Remote Sens. Environ., 257, 112356 (2021). https://doi.org/10.1016/j.rse.2021.112356

The earlier version of this data set was derived from five data sources described in the following references:

[1] Carroll, M. L., Townshend, J. R., DiMiceli, C. M., Noojipady, P., and Sohlberg, R. A. (2009), A new global raster water mask at 250 m resolution, Int. J. Digit. Earth, 2, 291–308.

[2] Carroll, M. L., DiMiceli, C. M., Townshend, J. R., Sohlberg, R. A., Elders, A. I., Devadiga, S., Sayer, A. M., and Levy, R. C. (2017), Development of an operational land water mask for MODIS Collection 6, and influence on downstream data products, Int. J. Digit. Earth, 10, 207–218.

[3] Pekel, J. F., Cottam, A., Gorelick, N., and Belward, A. S. (2016), High-resolution mapping of global surface water and its long-term changes, Nature, 540, 418–422.

[4] Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., and Townsend, J. R. G. (2013), High-resolution global maps of 21st-century forest cover change, Science, 342, 850–853.

[5] www.OpenStreetMap.org
DOI: 10.17605/osf.io/zwkmb
title: Source Material for the Paper: "Assessing GPT-4’s Reliability for Japanese Kanji Instruction: Accuracy, Prompt Control, and Contextual Sentences"
DOI: 10.5281/zenodo.16995309
title: Storm-Time GNSS Propagation at Mid-Latitude Magnetic Conjugate Points

description: This data set was used to investigate the responses of Total Electron Content (TEC) values at magnetic conjugate points during geomagnetically active conditions. It was performed for three magnetic conjugate pairs of Beijing-Learmonth, Petropavlovsk-Canberra and Bar Harbor-Palmer Station located in the mid-latitude region.
DOI: 10.34740/kaggle/dsv/12909442
title: Funko Pop Product Analysis
DOI: 10.17632/3rkj78f3vp.2
title: Supplement 1: Risk of Malignancies and All-Cause Mortality in Patients with Pemphigus

description: Supplement 1: Risk of Malignancies and All-Cause Mortality in Patients with Pemphigus
DOI: 10.17632/tx3gxt79fz
title: The CEI Equation: Participation + Policy + Business Models = Equitable Transition?

description: Codified literature used in the paper: The CEI Equation: Participation + Policy + Business Models = Equitable Transition?
DOI: 10.17632/tx3gxt79fz.1
title: The CEI Equation: Participation + Policy + Business Models = Equitable Transition?

description: Codified literature used in the paper: The CEI Equation: Participation + Policy + Business Models = Equitable Transition?
DOI: 10.17632/szd99zyb68
title: for paper

description: the GEO datasets for analysis
DOI: 10.15468/dl.r34j6d
title: Occurrence Download

description: A dataset containing 408981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Huso dauricus, Huso huso, Blepsias cirrhosus, Nautichthys oculofasciatus, Albula argentea, Albula esuncula, Albula oligolepis, Albula vulpes, Alosa aestivalis, Alosa alabamae, Alosa chrysochloris, Alosa pseudoharengus, Brevoortia aurea, Brevoortia gunteri, Brevoortia patronus, Brevoortia pectinata, Brevoortia smithi, Brevoortia tyrannus, Sardina pilchardus, Sardinops sagax, Ambassis kopsii, Ambassis miops, Ammodytes tobianus, Ammodytoides gilli, Gymnammodytes cicerelus, Gymnammodytes semisquamatus, Hyperoplus lanceolatus, Kryptophanaron alfredi, Photoblepharon palpebratum, Abantennarius analis, Abantennarius coccineus, Abantennarius dorehensis, Abantennarius drombus, Abantennarius duescus, Antennarius biocellatus, Antennarius commerson, Antennarius hispidus, Antennarius indicus, Antennarius maculatus, Antennarius multiocellatus, Antennarius pardalis, Antennarius pauciradiatus, Antennarius pictus, Antennarius randalli, Antennatus strigatus, Antennatus tuberosus, Fowlerichthys senegalensis, Acanthistius brasilianus, Acanthistius joanae, Acanthistius ocellatus, Acanthistius pardalotus, Acanthistius patachonicus, Acanthistius pictus, Acanthistius sebastoides, Caprodon schlegelii, Hemanthias peruanus, Hypoplectrodes nigroruber, Luzonichthys taeniatus, Luzonichthys waitei, Luzonichthys whitleyi, Meganthias carpenteri, Nemanthias carberryi, Pseudanthias ignitus, Plectranthias altipinnatus, Plectranthias elaine, Plectranthias bauchotae, Plectranthias fourmanoiri, Plectranthias gardineri, Plectranthias helenae, Plectranthias inermis, Plectranthias longimanus, Plectranthias nanus, Plectranthias retrofasciatus, Plectranthias rubrifasciatus, Plectranthias winniensis, Plectranthias yamakawai, Pronotogrammus multifasciatus, Pseudanthias bimaculatus, Pseudanthias caudalis, Pseudanthias charleneae, Pseudanthias cichlops, Pseudanthias conspicuus, Pseudanthias cooperi, Pseudanthias elongatus, Pseudanthias engelhardi, Pseudanthias fasciatus, Pseudanthias flavicauda, Pseudanthias huchtii, Pseudanthias hutomoi, Pseudanthias hypselosoma, Pseudanthias lunulatus, Pseudanthias luzonensis, Pseudanthias marcia, Pseudanthias mooreanus, Pseudanthias olivaceus, Pseudanthias pictilis, Pseudanthias pleurotaenia, Pseudanthias pulcherrimus, Pseudanthias randalli, Pseudanthias rubrizonatus)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 408981 records from 655 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016204-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/szd99zyb68.1
title: for paper

description: the GEO datasets for analysis
DOI: 10.15468/dl.p7uzkg
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichorium endivia",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 259 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016231-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anykyq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichorium endivia",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016230-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnghhz
title: Occurrence Download

description: A dataset containing 721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Procambarus acutus"
 ]
}

 The dataset includes 721 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016232-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5jg8tygfxk
title: Comparison of Moment and Power of S809, Owl and Seagull airfoils used in NREL Phase VI Wind Turbine.

description: This dataset shows the comparison of moment and power of S809, Owl and Seagull airfoils used in NREL Phase VI Wind Turbine. It shows that Owl airfoil showed superiority at 5 and 7 m/s wind speed. And Seagull airfoil showed superiority at 9 m/s wind speed.
DOI: 10.17632/5jg8tygfxk.1
title: Comparison of Moment and Power of S809, Owl and Seagull airfoils used in NREL Phase VI Wind Turbine.

description: This dataset shows the comparison of moment and power of S809, Owl and Seagull airfoils used in NREL Phase VI Wind Turbine. It shows that Owl airfoil showed superiority at 5 and 7 m/s wind speed. And Seagull airfoil showed superiority at 9 m/s wind speed.
DOI: 10.17632/3vth5v5mkx
title: BAED: A Comprehensive Bengali Emotion Dataset with Transformer-based Evaluation

description: The Bengali Annotated Emotion Dataset (BAED) draws its content from Bengali novels which form the basis for its emotional expression and cultural element identification capabilities that other NLP datasets do not possess. The system divides into seven categories which enable complete multi-class affective state classification through anger, disgust, fear, joy, sadness, surprise and anticipation. Drawing from both dialogue and narration, BAED offers a rich basis for studying human emotions in text.The system has multiple uses in computational linguistics and sentiment and stylistic analysis and cultural and psychological research and dialogue-level emotion detection and benchmarking emotion classification models with potential future applications in newspaper and social media and conversational data.

The dataset is organized into seven balanced classes, each representing a different emotion domain:

Anger:500 data
Disgust:500 data
Fear:500 data
Joy:500 data
Sadness:500 data
Surprise:500 data
Anticipation:500 data

Total Number of Data: 3,500
Language: Bangla
File Format: CSV file
DOI: 10.17632/3vth5v5mkx.1
title: BAED: A Comprehensive Bengali Emotion Dataset with Transformer-based Evaluation

description: The Bengali Annotated Emotion Dataset (BAED) draws its content from Bengali novels which form the basis for its emotional expression and cultural element identification capabilities that other NLP datasets do not possess. The system divides into seven categories which enable complete multi-class affective state classification through anger, disgust, fear, joy, sadness, surprise and anticipation. Drawing from both dialogue and narration, BAED offers a rich basis for studying human emotions in text.The system has multiple uses in computational linguistics and sentiment and stylistic analysis and cultural and psychological research and dialogue-level emotion detection and benchmarking emotion classification models with potential future applications in newspaper and social media and conversational data.

The dataset is organized into seven balanced classes, each representing a different emotion domain:

Anger:500 data
Disgust:500 data
Fear:500 data
Joy:500 data
Sadness:500 data
Surprise:500 data
Anticipation:500 data

Total Number of Data: 3,500
Language: Bangla
File Format: CSV file
DOI: 10.17632/mz43hcmkdy
title: Cognitive Internet of Things (CIoT) for Business Automation: A Blueprint for Smart Enterprises in the Digital Economy

description: The Cognitive Internet of Things (CIoT) represents the next evolution of the Internet of Things, integrating cognitive computing, artificial intelligence (AI), Blockchain technology, and emerging quantum computing to enable autonomous, intelligent, and context-aware decision-making across enterprise systems. This paper explores how CIoT transforms business automation, delivering substantial improvements in operational efficiency, security, financial transparency, and sustainability.
DOI: 10.17632/mz43hcmkdy.1
title: Cognitive Internet of Things (CIoT) for Business Automation: A Blueprint for Smart Enterprises in the Digital Economy

description: The Cognitive Internet of Things (CIoT) represents the next evolution of the Internet of Things, integrating cognitive computing, artificial intelligence (AI), Blockchain technology, and emerging quantum computing to enable autonomous, intelligent, and context-aware decision-making across enterprise systems. This paper explores how CIoT transforms business automation, delivering substantial improvements in operational efficiency, security, financial transparency, and sustainability.
DOI: 10.15468/dl.ywx7ew
title: Occurrence Download

description: A dataset containing 207032 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudanthias squamipinnis, Pseudanthias taeniatus, Pseudanthias thompsoni, Pseudanthias townsendi, Rabaulichthys altipinnis, Rabaulichthys squirei, Rabaulichthys stigmaticus, Sacura margaritacea, Serranocirrhitus latus, Tosanoides flavofasciatus, Trachypoma macracanthus, Apogon americanus, Apogon aurolineatus, Apogon binotatus, Apogon caudicinctus, Apogon ceramensis, Apogon coccineus, Apogon crassiceps, Apogon dianthus, Apogon doryssa, Apogon dovii, Apogon erythrinus, Apogon imberbis, Apogon indicus, Apogon lachneri, Apogon leptocaulus, Apogon maculatus, Apogon mosavi, Apogon pacificus, Apogon phenax, Apogon pillionatus, Apogon planifrons, Apogon pseudomaculatus, Apogon quadrisquamatus, Apogon retrosella, Apogon robbyi, Apogon robinsi, Apogon seminigracaudus, Apogon semiornatus, Apogon talboti, Apogon townsendi, Apogon unicolor, Apogonichthyoides atripes, Apogonichthyoides brevicaudatus, Apogonichthyoides cathetogramma, Apogonichthyoides melas, Apogonichthyoides niger, Apogonichthyoides nigripinnis, Apogonichthyoides opercularis, Apogonichthyoides pharaonis, Apogonichthyoides sialis, Apogonichthyoides taeniatus, Apogonichthyoides timorensis, Apogonichthyoides umbratilis, Apogonichthyoides uninotatus, Apogonichthys ocellatus, Apogonichthys perdix, Archamia bleekeri, Astrapogon alutus, Astrapogon puncticulatus, Astrapogon stellatus, Cercamia eremia, Cheilodipterus alleni, Cheilodipterus artus, Cheilodipterus intermedius, Cheilodipterus nigrotaeniatus, Cheilodipterus parazonatus, Cheilodipterus persicus, Cheilodipterus quinquelineatus, Cheilodipterus singapurensis, Cheilodipterus zonatus, Fibramia thermalis, Foa brachygramma, Foa, Foa hyalina, Fowleria aurita, Fowleria flammea, Fowleria isostigma, Fowleria marmorata, Fowleria vaiulae, Fowleria variegata, Gymnapogon japonicus, Gymnapogon philippinus, Gymnapogon urospilotus, Gymnapogon vanderbilti, Jaydia argyrogaster, Jaydia ellioti, Jaydia lineata, Jaydia novaeguineae, Jaydia photogaster, Jaydia poecilopterus, Jaydia striata, Jaydia striatodes, Lepidamia kalosoma, Neamia articycla, Neamia notula, Neamia octospina, Nectamia annularis, Nectamia bandanensis, Nectamia fusca)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 207032 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016205-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gn4hh6tj6g
title: Cognitive Swarm Intelligence and Quantum-Enhanced CIoT: A Comprehensive Research Report on Swarm Automation

description: The integration of Cognitive Internet of Things (CIoT) with swarm intelligence and quantum computing technologies represents a transformative paradigm in autonomous systems engineering. This comprehensive research report analyzes the convergence of these technologies across two primary domains: autonomous multi-agent IoT systems utilizing cognitive swarm intelligence, and quantum-enhanced CIoT applications for predictive decision-making. Our research demonstrates that cognitive swarm intelligence architectures achieve 35-60% performance improvements over traditional centralized IoT systems, with demonstrated scalability to 500+ autonomous agents while maintaining real-time coordination
DOI: 10.17632/gn4hh6tj6g.1
title: Cognitive Swarm Intelligence and Quantum-Enhanced CIoT: A Comprehensive Research Report on Swarm Automation

description: The integration of Cognitive Internet of Things (CIoT) with swarm intelligence and quantum computing technologies represents a transformative paradigm in autonomous systems engineering. This comprehensive research report analyzes the convergence of these technologies across two primary domains: autonomous multi-agent IoT systems utilizing cognitive swarm intelligence, and quantum-enhanced CIoT applications for predictive decision-making. Our research demonstrates that cognitive swarm intelligence architectures achieve 35-60% performance improvements over traditional centralized IoT systems, with demonstrated scalability to 500+ autonomous agents while maintaining real-time coordination
DOI: 10.17632/kpm84fht9r
title: The impact of accumulating immune adaptation in circulating strains of HIV-1

description: Sanger-based and next-generation sequencing of HIV-1 gag, pol, and nef genes from Western Australian cohorts infected during the early and late stages of the HIV-1 epidemic.
DOI: 10.17632/kpm84fht9r.1
title: The impact of accumulating immune adaptation in circulating strains of HIV-1

description: Sanger-based and next-generation sequencing of HIV-1 gag, pol, and nef genes from Western Australian cohorts infected during the early and late stages of the HIV-1 epidemic.
DOI: 10.15468/dl.74a5hq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OrderKey is Copepoda",
 "Year is 2010",
 "Depth is greater than or equal to 0m",
 "Depth is less than or equal to 10m",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016234-250827131500795/datasets/export for details.
DOI: 10.17632/h4ngjnvyf5
title: Cognitive Internet of Things (CIoT) Marketplace for Entrepreneurship and Innovation: A Data-Driven Analysis

description: The Cognitive Internet of Things (CIoT) represents a paradigm shift by embedding intelligence, contextual awareness, and machine learning capabilities into IoT ecosystems. This paper explores the role of CIoT in entrepreneurship and innovation through a data-driven analysis of marketplace dynamics using a synthetic dataset of 509 entries. The study evaluates adoption trends, innovation performance, market opportunities, and entrepreneurial challenges across industries and regions. Findings suggest that CIoT fosters not only efficiency and automation but also new business models, digital marketplaces, and sectoral transformation. The paper concludes with recommendations and a future blueprint for policymakers, entrepreneurs, and investors to maximize the potential of CIoT ecosystems.
DOI: 10.15468/dl.vfts9f
title: Occurrence Download

description: A dataset containing 657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chenopodium glaucum"
 ]
}

 The dataset includes 657 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016236-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h4ngjnvyf5.1
title: Cognitive Internet of Things (CIoT) Marketplace for Entrepreneurship and Innovation: A Data-Driven Analysis

description: The Cognitive Internet of Things (CIoT) represents a paradigm shift by embedding intelligence, contextual awareness, and machine learning capabilities into IoT ecosystems. This paper explores the role of CIoT in entrepreneurship and innovation through a data-driven analysis of marketplace dynamics using a synthetic dataset of 509 entries. The study evaluates adoption trends, innovation performance, market opportunities, and entrepreneurial challenges across industries and regions. Findings suggest that CIoT fosters not only efficiency and automation but also new business models, digital marketplaces, and sectoral transformation. The paper concludes with recommendations and a future blueprint for policymakers, entrepreneurs, and investors to maximize the potential of CIoT ecosystems.
DOI: 10.15468/dl.axe4bw
title: Occurrence Download

description: A dataset containing 7030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micropogonias furnieri",
 "Year is greater than or equal to 2019",
 "Year is less than or equal to 2025",
 "DecimalLatitude is greater than or equal to -90.0",
 "DecimalLatitude is less than or equal to 90.0",
 "DecimalLongitude is greater than or equal to -180.0",
 "DecimalLongitude is less than or equal to 180.0",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7030 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016235-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z9j45crx3c
title: The Levothyroxine-Alopecia Paradox: A Disproportionality Analysis of the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS). Version1

description: These are the supplementary materials of the manuscript titled "The Levothyroxine-Alopecia Paradox: A Disproportionality Analysis of the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS)."
DOI: 10.17632/z9j45crx3c.1
title: The Levothyroxine-Alopecia Paradox: A Disproportionality Analysis of the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS). Version1

description: These are the supplementary materials of the manuscript titled "The Levothyroxine-Alopecia Paradox: A Disproportionality Analysis of the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS)."