cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5jpxme
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmothoe fraserthomsoni",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 487 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037552-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhr9sm
title: Occurrence Download

description: A dataset containing 21134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ghana",
 "EventDate 1967-05-01-1967-07-01",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 21134 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037553-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2va4q
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Styloctenium wallacei",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037554-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/bzwy-c635
title: HYDROSTATIC PRESSURE, WATER TEMPERATURE, and others collected from Electro-Magnetic Autonomous Profiling Explorer floats in Cape Basin and South Atlantic Ocean from 2023-03-08 to 2024-05-27 (NCEI Accession 0309578)

description: Nine Electro-Magnetic Autonomous Profiling Explorer (EM-APEX) floats were deployed in the Cape Basin in March 2023. They sampled through November 2023. 1 EM-APEX float was deployed in March 2024 and sampled through May 2024. Data are in NetCDF. Time is in seconds since January 1, 1970, 00:00:00 UTC (unixtime).
DOI: 10.25921/zyrn-zz98
title: Dissolved inorganic carbon, total alkalinity, nutrients, and other variables collected from profile and discrete observations during NOAA Ship Henry B. Bigelow cruise HB2401 (EXPOCODE 33HH20240217) in New York Bight, North Atlantic Ocean, Stellwagen Bank National Marine Sanctuary from 2024-02-17 to 2024-02-22 (NCEI Accession 0309660)

description: This dataset contains profile discrete measurements of dissolved inorganic carbon, total alkalinity, pH on total scale, water temperature, salinity, nutrients, and oxygen collected during NOAA Ship Henry B. Bigelow cruise HB2401 (EXPOCODE 33HH20240217) in New York Bight, North Atlantic Ocean, Stellwagen Bank National Marine Sanctuary from 2024-02-17 to 2024-02-22. Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry ultimately resulting in a reduction in pH, a process termed ocean acidification. Studies have demonstrated adverse effects on calcifying organisms, particularly some invertebrates, corals, sea urchins, pteropods, and coccolithophores, but also on species of commercial interest such as oysters or crabs. In support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP), the Ecosystem Monitoring Cruises (ECOMON) are utilized to collect water samples to measure water column inorganic carbon and hydrographic parameters including nutrients. Samples are collected at three depths (surface, mid-depth and near bottom) at select stations on a quarterly basis in the northeastern Atlantic continental shelf region off the United States. Water samples are sent to and analyzed by scientists at the Atlantic Oceanographic & Meteorological Laboratory (AOML) for dissolved inorganic carbon, pH and total alkalinity concentrations. Additional samples are analyzed for nutrient concentrations at the University of Maine. These data are used to monitor short-long term coastal ocean acidification trends.
DOI: 10.25921/k3d4-8s48
title: Dissolved inorganic carbon, total alkalinity, nutrients, and other variables collected from profile and discrete observations during NOAA Ship Henry B. Bigelow cruise HB2403 (EXPOCODE 33HH20240526) in New York Bight, North Atlantic Ocean, Stellwagen Bank National Marine Sanctuary from 2024-05-26 to 2024-06-14 (NCEI Accession 0309662)

description: This dataset contains profile discrete measurements of dissolved inorganic carbon, total alkalinity, pH on total scale, water temperature, salinity, nutrients, and oxygen collected during NOAA Ship Henry B. Bigelow cruise HB2403 (EXPOCODE 33HH20240526) in New York Bight, North Atlantic Ocean, Stellwagen Bank National Marine Sanctuary from 2024-05-26 to 2024-06-14. Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry ultimately resulting in a reduction in pH, a process termed ocean acidification. Studies have demonstrated adverse effects on calcifying organisms, particularly some invertebrates, corals, sea urchins, pteropods, and coccolithophores, but also on species of commercial interest such as oysters or crabs. In support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP), the Ecosystem Monitoring Cruises (ECOMON) are utilized to collect water samples to measure water column inorganic carbon and hydrographic parameters including nutrients. Samples are collected at three depths (surface, mid-depth and near bottom) at select stations on a quarterly basis in the northeastern Atlantic continental shelf region off the United States. Water samples are sent to and analyzed by scientists at the Atlantic Oceanographic & Meteorological Laboratory (AOML) for dissolved inorganic carbon, pH and total alkalinity concentrations. Additional samples are analyzed for nutrient concentrations at the University of Maine. These data are used to monitor short-long term coastal ocean acidification trends.
DOI: 10.15468/dl.hrakzd
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.266 -0.869817, 103.195729 -0.875383, 103.127187 -0.891945, 103.062062 -0.919094, 103.001957 -0.956163, 102.948351 -1.00224, 102.902564 -1.056189, 102.865723 -1.116683, 102.838736 -1.182232, 102.822267 -1.251224, 102.816724 -1.321959, 102.822242 -1.392696, 102.838688 -1.461694, 102.865657 -1.527252, 102.902486 -1.587757, 102.94827 -1.641719, 103.00188 -1.687807, 103.061997 -1.724887, 103.127139 -1.752046, 103.195704 -1.768613, 103.266 -1.774181, 103.336296 -1.768613, 103.404861 -1.752046, 103.470003 -1.724887, 103.53012 -1.687807, 103.58373 -1.641719, 103.629514 -1.587757, 103.666343 -1.527252, 103.693312 -1.461694, 103.709758 -1.392696, 103.715276 -1.321959, 103.709733 -1.251224, 103.693264 -1.182232, 103.666277 -1.116683, 103.629436 -1.056189, 103.583649 -1.00224, 103.530043 -0.956163, 103.469938 -0.919094, 103.404813 -0.891945, 103.336271 -0.875383, 103.266 -0.869817))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 50 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037556-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/4dvv-nc61
title: Dissolved inorganic carbon, total alkalinity, nutrients, and other variables collected from profile and discrete observations during NOAA Ship Henry B. Bigelow cruise HB2406 (EXPOCODE 33HH20240812) in New York Bight, North Atlantic Ocean, Stellwagen Bank National Marine Sanctuary from 2024-08-12 to 2024-08-22 (NCEI Accession 0309663)

description: This dataset contains profile discrete measurements of dissolved inorganic carbon, total alkalinity, pH on total scale, water temperature, salinity, nutrients, and oxygen collected during NOAA Ship Henry B. Bigelow cruise HB2406 (EXPOCODE 33HH20240812) in New York Bight, North Atlantic Ocean, Stellwagen Bank National Marine Sanctuary from 2024-08-12 to 2024-08-22. Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry ultimately resulting in a reduction in pH, a process termed ocean acidification. Studies have demonstrated adverse effects on calcifying organisms, particularly some invertebrates, corals, sea urchins, pteropods, and coccolithophores, but also on species of commercial interest such as oysters or crabs. In support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP), the Ecosystem Monitoring Cruises (ECOMON) are utilized to collect water samples to measure water column inorganic carbon and hydrographic parameters including nutrients. Samples are collected at three depths (surface, mid-depth and near bottom) at select stations on a quarterly basis in the northeastern Atlantic continental shelf region off the United States. Water samples are sent to and analyzed by scientists at the Atlantic Oceanographic & Meteorological Laboratory (AOML) for dissolved inorganic carbon, pH and total alkalinity concentrations. Additional samples are analyzed for nutrient concentrations at the University of Maine. These data are used to monitor short-long term coastal ocean acidification trends.
DOI: 10.5281/zenodo.17855685
title: Industrial Robot Telemetry Dataset for training of anomaly detection tools

description: A collection of telemetry records from a seven-axis industrial robot, including joint motion data and energy measurements. The dataset supports training and evaluation of anomaly-detection algorithms under normal and intentionally altered operating conditions.
DOI: 10.5281/zenodo.17855686
title: Industrial Robot Telemetry Dataset for training of anomaly detection tools

description: A collection of telemetry records from a seven-axis industrial robot, including joint motion data and energy measurements. The dataset supports training and evaluation of anomaly-detection algorithms under normal and intentionally altered operating conditions.
DOI: 10.15468/dl.r3vft4
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmothoe gilchristi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 80 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037557-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f8kfwcvtdn
title: Large-ring mooring current meter and CTD data

description: Oceanographic measurements from the deep Northwestern Mediterranean. Data from three meters attached to large ring mooring (van Haren et al., JAOT, 2021) and single shipborne CTD profile.
DOI: 10.15468/dl.je7axa
title: Occurrence Download

description: A dataset containing 22834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Jacaranda mimosifolia"
 ]
}

 The dataset includes 22834 records from 426 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037555-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f8kfwcvtdn.1
title: Large-ring mooring current meter and CTD data

description: Oceanographic measurements from the deep Northwestern Mediterranean. Data from three meters attached to large ring mooring (van Haren et al., JAOT, 2021) and single shipborne CTD profile.
DOI: 10.17632/j7yb2sv263
title: BABSA: A Large Scale Bangla Aspect Based Sentiment Analysis Dataset

description: BABSA (Bangla Aspect-Based Sentiment Analysis) is a large-scale, manually annotated dataset for fine-grained aspect-level sentiment analysis in Bangla. The dataset contains 15,860 quality-controlled instances spanning 21 domains, including book reviews, product reviews, news, politics, and social commentary.

Dataset Files:

final_set.csv – Primary release file containing 15,860 manually annotated instances after quality control and filtering.

total.csv – Complete collection of 24,653 instances prior to filtering, provided for transparency and reproducibility.

Schema of final_set.csv:
 (Column, Description) : [ (text_content, Full Bangla text (review, comment, or news excerpt) ,
 (AnnotatedAspect : Comma separated list of Aspect term or phrase extracted from the text ),
 (AnnotatedSentiment: Comma separated Sentiment polarity (positive, neutral, or negative)) , 
 (MacroCategory : Domain/topic category (one of 21 predefined categories) )
 ]

Schema of total.csv:
 (Column, Description) : [ (text_content, Full Bangla text (review, comment, or news excerpt) ,
 (AnnotatedAspect : Comma separated list of Aspect term or phrase extracted from the text ),
 (AnnotatedSentiment: Comma separated list of Sentiment polarity (positive, neutral, or negative)) 
 ]

Text content was aggregated from four publicly available Bangla NLP corpora (BanglaBook, SentNoB, EmoNoBa, Sazzed) and a web-scraped Bangla news corpus (January–June 2025). All aspect-level annotations (aspect terms, boundaries, and sentiment labels) are original contributions created through a three-pass manual annotation protocol, achieving inter-annotator agreement of Cohen's κ ≥ 0.84.
DOI: 10.17632/j7yb2sv263.1
title: BABSA: A Large Scale Bangla Aspect Based Sentiment Analysis Dataset

description: BABSA (Bangla Aspect-Based Sentiment Analysis) is a large-scale, manually annotated dataset for fine-grained aspect-level sentiment analysis in Bangla. The dataset contains 15,860 quality-controlled instances spanning 21 domains, including book reviews, product reviews, news, politics, and social commentary.

Dataset Files:

final_set.csv – Primary release file containing 15,860 manually annotated instances after quality control and filtering.

total.csv – Complete collection of 24,653 instances prior to filtering, provided for transparency and reproducibility.

Schema of final_set.csv:
 (Column, Description) : [ (text_content, Full Bangla text (review, comment, or news excerpt) ,
 (AnnotatedAspect : Comma separated list of Aspect term or phrase extracted from the text ),
 (AnnotatedSentiment: Comma separated Sentiment polarity (positive, neutral, or negative)) , 
 (MacroCategory : Domain/topic category (one of 21 predefined categories) )
 ]

Schema of total.csv:
 (Column, Description) : [ (text_content, Full Bangla text (review, comment, or news excerpt) ,
 (AnnotatedAspect : Comma separated list of Aspect term or phrase extracted from the text ),
 (AnnotatedSentiment: Comma separated list of Sentiment polarity (positive, neutral, or negative)) 
 ]

Text content was aggregated from four publicly available Bangla NLP corpora (BanglaBook, SentNoB, EmoNoBa, Sazzed) and a web-scraped Bangla news corpus (January–June 2025). All aspect-level annotations (aspect terms, boundaries, and sentiment labels) are original contributions created through a three-pass manual annotation protocol, achieving inter-annotator agreement of Cohen's κ ≥ 0.84.
DOI: 10.17632/97j3xkkypj
title: Training datasets for CASF experiments

description: This dataset pertains to the GitHub repo ANP-Driven-CASF (https://github.com/onetimedev/ANP-Driven-CASF). This work was presented in Chapter 5 of my PhD thesis. These datasets are required to reproduce results reported in my PhD thesis and the subsequent publication on the ANP-Driven-CASF.
DOI: 10.17632/97j3xkkypj.1
title: Training datasets for CASF experiments

description: This dataset pertains to the GitHub repo ANP-Driven-CASF (https://github.com/onetimedev/ANP-Driven-CASF). This work was presented in Chapter 5 of my PhD thesis. These datasets are required to reproduce results reported in my PhD thesis and the subsequent publication on the ANP-Driven-CASF.
DOI: 10.17632/v83dnbbm95
title: The new “Securities Law,” corporate information disclosure and financialization

description: The new “Securities Law,” corporate information disclosure and financialization
DOI: 10.17632/v83dnbbm95.1
title: The new “Securities Law,” corporate information disclosure and financialization

description: The new “Securities Law,” corporate information disclosure and financialization
DOI: 10.17632/8pcr4fnv9w
title: Jiuli coal mining subsidence area

description: soil and sediment data in Jiuli coal mining subsidence area
DOI: 10.17632/8pcr4fnv9w.1
title: Jiuli coal mining subsidence area

description: soil and sediment data in Jiuli coal mining subsidence area
DOI: 10.17632/gpp2szh4b4.1
title: Research Data for JRESS-D-25-01971: A Two-Stage Resilient Restoration Framework for Large-Scale Urban Electric Power Infrastructure Systems under Extreme Hurricane Events Considering Social Vulnerability and Economic Factors

description: This repository contains the research data accompanying the study “A Two-Stage Resilient Restoration Framework for Large-Scale Urban Electric Power Infrastructure Systems under Extreme Hurricane Events Considering Social Vulnerability and Economic Factors.” The dataset is organized into two main parts: hurricane hazard data and synthetic power distribution network data for large-scale urban electric power infrastructure systems.

The hurricane data are sourced from the International Best Track Archive for Climate Stewardship (IBTrACS) and can be accessed at the National Centers for Environmental Information (NCEI): https://www.ncei.noaa.gov/products/international-best-track-archive
. For details on IBTrACS, please refer to:
Knapp, K. R., M. C. Kruk, D. H. Levinson, H. J. Diamond, and C. J. Neumann, 2010: The International Best Track Archive for Climate Stewardship (IBTrACS): Unifying tropical cyclone best track data. Bulletin of the American Meteorological Society, 91, 363–376. doi:10.1175/2009BAMS2755.1.

The power grid data are synthetically generated following the methodology proposed in our previous work on large-scale synthetic distribution networks under historical hurricane hazards:
S. Li, S. Wang, Q. Zhao, D. Liu and C. K. Tse, “A Risk Assessment Framework for Large-Scale Synthetic Power Distribution Networks Considering Historical Hurricane Disasters,” IEEE Transactions on Power Systems, vol. 40, no. 5, pp. 3846–3858, Sept. 2025, doi:10.1109/TPWRS.2025.3530401.

Together, these data enable quantitative analysis of grid resilience, restoration strategies, and risk assessment under extreme hurricane events, while explicitly incorporating social vulnerability and economic factors to support more equitable and cost-effective decision-making in urban power system planning and operation.
DOI: 10.5286/isis.e.rb2420470-2
title: A comparative study of spin excitations in inverse Spinels: Co2TiO4 and Mg2TiO4

description: We plan to measure the spin excitations in two inverse spinel compounds, Co2TiO4 and Mg2TiO4 to understand the magnetic
Hamiltonian and the origin of ferrimagnetic and magnetic compensation behavior. The recent neutron powder diffraction and other macroscopic studies have revealed a complex magnetic structure below ferrimagnetic ordering temperature.To resolve this problem requires an understanding of the magnetic Hamiltonian and the exchange interactions.
DOI: 10.17632/7mcn8nnkyd
title: Evidence of intertemporal bias in a stated-preference route choice experiment

description: This dataset allows replication of results reported in Henríquez-Jara & Guevara (under review).

Henriquez-Jara, Bastian & Guevara, Angelo. Evidence of Intertemporal Bias in a Stated Preferences Route Choice Experiment. Available at http://dx.doi.org/10.2139/ssrn.5393776

(Under review in Transportation Research Part A)
DOI: 10.15468/dl.yaqeps
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.086 -0.8658169999999999, 103.015729 -0.871383, 102.947187 -0.887945, 102.882063 -0.915094, 102.821957 -0.952164, 102.768351 -0.99824, 102.722564 -1.052189, 102.685723 -1.112683, 102.658736 -1.178232, 102.642268 -1.247224, 102.636724 -1.317959, 102.642243 -1.388696, 102.658689 -1.457694, 102.685658 -1.523252, 102.722487 -1.583757, 102.76827 -1.637719, 102.82188 -1.683807, 102.881997 -1.720887, 102.94714 -1.748046, 103.015704 -1.764613, 103.086 -1.770181, 103.156296 -1.764613, 103.22486 -1.748046, 103.290003 -1.720887, 103.35012 -1.683807, 103.40373 -1.637719, 103.449513 -1.583757, 103.486342 -1.523252, 103.513311 -1.457694, 103.529757 -1.388696, 103.535276 -1.317959, 103.529732 -1.247224, 103.513264 -1.178232, 103.486277 -1.112683, 103.449436 -1.052189, 103.403649 -0.99824, 103.350043 -0.952164, 103.289937 -0.915094, 103.224813 -0.887945, 103.156271 -0.871383, 103.086 -0.8658169999999999))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037558-251120083545085/datasets/export for details.
DOI: 10.17632/7mcn8nnkyd.1
title: Evidence of intertemporal bias in a stated-preference route choice experiment

description: This dataset allows replication of results reported in Henríquez-Jara & Guevara (under review).

Henriquez-Jara, Bastian & Guevara, Angelo. Evidence of Intertemporal Bias in a Stated Preferences Route Choice Experiment. Available at http://dx.doi.org/10.2139/ssrn.5393776

(Under review in Transportation Research Part A)
DOI: 10.5286/isis.e.rb2420470
title: A comparative study of spin excitations in inverse Spinels: Co2TiO4 and Mg2TiO4

description: We plan to measure the spin excitations in two inverse spinel compounds, Co2TiO4 and Mg2TiO4 to understand the magnetic
Hamiltonian and the origin of ferrimagnetic and magnetic compensation behavior. The recent neutron powder diffraction and other macroscopic studies have revealed a complex magnetic structure below ferrimagnetic ordering temperature.To resolve this problem requires an understanding of the magnetic Hamiltonian and the exchange interactions.