cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive20513.20230509.8.1
title: Archangium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20513.20251217.10
title: Archangium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0088003.10fu
title: SH0088003.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive20514.20230509.8.1
title: Corallococcus coralloides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20514.20251217.10
title: Corallococcus coralloides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0088004.10fu
title: SH0088004.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive20515.20230509.8.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20515.20251217.10
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20516.20230509.8.1
title: Corallococcus coralloides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20516.20251217.10
title: Corallococcus coralloides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0088005.10fu
title: SH0088005.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive20517.20230509.8.1
title: Corallococcus coralloides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0088006.10fu
title: SH0088006.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.3ubq9u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.738331 23.960923, 89.66148800000001 23.955346, 89.586556 23.938754, 89.515398 23.91156, 89.44977900000001 23.874438, 89.39132499999999 23.828312, 89.341476 23.774326, 89.301458 23.713818, 89.27224699999999 23.648284, 89.254548 23.579346, 89.248779 23.508705, 89.25506300000001 23.4381, 89.273228 23.369269, 89.302808 23.303903, 89.343063 23.243606, 89.392993 23.189853, 89.45136599999999 23.143961, 89.51674800000001 23.10705, 89.587536 23.080023, 89.662003 23.063538, 89.738331 23.057999, 89.81465900000001 23.063538, 89.889126 23.080023, 89.959914 23.10705, 90.025296 23.143961, 90.083669 23.189853, 90.133599 23.243606, 90.17385400000001 23.303903, 90.203434 23.369269, 90.221599 23.4381, 90.22788300000001 23.508705, 90.222114 23.579346, 90.204415 23.648284, 90.17520399999999 23.713818, 90.135186 23.774326, 90.085337 23.828312, 90.026883 23.874438, 89.961264 23.91156, 89.890106 23.938754, 89.815174 23.955346, 89.738331 23.960923))"},{"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/0077046-251120083545085/datasets/export for details.
DOI: 10.13145/bacdive20517.20251217.10
title: Corallococcus coralloides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20518.20230509.8.1
title: Corallococcus coralloides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0088007.10fu
title: SH0088007.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/xtc69y5fny.1
title: Background data of Chengmai basaltic weathering profile

description: The dataset is the background data for the Chengmai basaltic weathering profile and contains the major elements, trace elements, mineralogical compositions, elemental and B isotopic compositions of the weathering production of the Chengmai basaltic weathering profile.
DOI: 10.17632/jsbmtk8hty.3
title: Comprehensive Dengue Hematology and Clinical Dataset from Bangladesh for Machine Learning and Diagnostic Research

description: Dengue fever is a serious public health issue in Bangladesh, particularly in the Dhaka region, where outbreaks are frequent and can affect large numbers of people. In 2025, over 30,000 cases and more than 100 deaths have been reported, with outbreaks worsening in August and expected to peak in September without interventions [1]. Warm, humid weather boosted Aedes mosquito breeding, straining healthcare systems. This dataset, with demographic and blood test data, supports dengue research, planning and outbreaks prediction. Data were obtained from a total of 1,037 Dengue Patients across multiple medical institutions in Dhaka, Bangladesh, including Shaheed Suhrawardy Medical College and Hospital, Dhaka Medical College Hospital, Unique Hospital and Popular Diagnostic Center Limited. The data collection period extended from 6 June 2025 to 9 August 2025, during which patient confidentiality was strictly maintained and all ethical guidelines were rigorously followed. For each patient, Biochemical and Hematology profiles were systematically recorded to assess the impact of Dengue on liver function and blood-related parameters. The dataset includes Gender, Age, Dengue NS1 test result, White Blood Cell Count (WBC), Platelet Count (PLT), Red Blood Cell Count (RBC), Hematocrit (HCT), Lymphocyte percentage, Liver function indices (ALT and AST), and Neutrophil percentage. This dataset is important for analyzing Hematological changes in dengue patients. The main goal is to apply Machine Learning to classify patients as dengue positive or negative (Yes/No) using Hematological values. This approach will support early detection, timely treatment and improved patient care. 

Information Included in the Dataset 
Demographics:
Gender: Male or Female 
Age: Patient’s Age 
Diagnostic Results: Dengue NS1 (Positive/Negative) - Class label

Hematological Parameters:
1. Platelet Count (PLT) : Helps in blood clotting.
2. White Blood Cell Count (WBC): Defends the body against infections.
3. Hematocrit (HCT): Measures red blood cell ratio, useful for detecting blood thickness.
4. Red Blood Cell Count (RBC): Carries oxygen throughout the body.
5. Lymphocyte Percentage (Lymph %): A type of WBC, important for fighting viral infections.
6. Neutrophil Percentage (Neu %): A type of WBC, mainly fights bacterial infections.
7. Dengue NS1 : Detects Dengue Virus antigen in blood.

Biochemical Markers:
Alanine Aminotransferase (ALT) and Aspartate Aminotransferase (AST): Liver enzymes, used to assess liver function.

Result: Dengue Hematology Blood Test Result (Dengue Yes/No)

Dataset Overview 
Dataset type: Primary data
File Type: CSV
Total Records (Rows): 1,037 (each representing an individual patient case)
Number of Variables (Columns): 12 (Demographic, Diagnostic, Hematological and Biochemical Features)

Reference:
[1] DGHS Dengue Dashboard- https://dashboard.dghs.gov.bd/pages/heoc_dengue_v1.php
DOI: 10.17632/vrsmxrfpjx
title: Cost-optimizing home energy management systems under communication protocol constraints

description: This dataset contains the simulation results for a cost-optimizing home energy management system (HEMS) under communication protocol constraints. The HEMS controls heat pumps and electric vehicles via different communication protocols to minimize the total electricity costs. The dataset includes simulation scenarios for different device parameters, price offsets, system configurations, and packet loss probabilities. For each scenario, it presents the total costs, total savings, additional energy consumption, shifted energy, heat pump seasonal coefficient of performance, and thermal discomfort. The simulation's time horizon is one year.
DOI: 10.17632/vrsmxrfpjx.2
title: Cost-optimizing home energy management systems under communication protocol constraints

description: This dataset contains the simulation results for a cost-optimizing home energy management system (HEMS) under communication protocol constraints. The HEMS controls heat pumps and electric vehicles via different communication protocols to minimize the total electricity costs. The dataset includes simulation scenarios for different device parameters, price offsets, system configurations, and packet loss probabilities. For each scenario, it presents the total costs, total savings, additional energy consumption, shifted energy, heat pump seasonal coefficient of performance, and thermal discomfort. The simulation's time horizon is one year.
DOI: 10.17632/tdn5v2xjtp
title: Financialization and human capital upgrading

description: This dataset comprises Chinese non-financial A-share listed firms from 2011 to 2020. Employee data are obtained from the WIND database, while financial data are primarily sourced from the China Stock Market & Accounting Research (CSMAR) database. The sample is refined through the following steps: (1) excluding firms under special treatment (ST and ST*) status; (2) excluding firms listed after 2017 to mitigate the impact of IPO events; (3) removing observations with excessive missing values for key variables; and (4) winsorizing all continuous variables at the 1% and 99% levels to reduce the influence of outliers. After these adjustments, the final dataset consists of 15,911 firm-year observations.
DOI: 10.17632/tdn5v2xjtp.1
title: Financialization and human capital upgrading

description: This dataset comprises Chinese non-financial A-share listed firms from 2011 to 2020. Employee data are obtained from the WIND database, while financial data are primarily sourced from the China Stock Market & Accounting Research (CSMAR) database. The sample is refined through the following steps: (1) excluding firms under special treatment (ST and ST*) status; (2) excluding firms listed after 2017 to mitigate the impact of IPO events; (3) removing observations with excessive missing values for key variables; and (4) winsorizing all continuous variables at the 1% and 99% levels to reduce the influence of outliers. After these adjustments, the final dataset consists of 15,911 firm-year observations.
DOI: 10.15468/dl.bj3c8y
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia glomerosa",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "Continent is South America"
 ]
}

 The dataset includes 503 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059388-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15238652
title: IODP Expedition 402 Piece log

description: Dataset includes length data for every whole-round piece: bin length, whole-round piece length (measured by curation staff), and both the archive- and working-half piece lengths (optionally measured by scientists).
DOI: 10.5281/zenodo.15238653
title: IODP Expedition 402 Piece log

description: Dataset includes length data for every whole-round piece: bin length, whole-round piece length (measured by curation staff), and both the archive- and working-half piece lengths (optionally measured by scientists).
DOI: 10.15468/dl.z2m54d
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Didelphis marsupialis marsupialis, Metachirus nudicaudatus (É.Geoffroy Saint-Hilaire, 1803), Monodelphis adusta (Thomas, 1897), Marmosa andersoni Pine, 1972, Marmosops caucae Thomas, 1900, Marmosops caucae Thomas, 1900)",
 "HasCoordinate is true",
 "Locality is not null",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "SamplingProtocol is not null",
 "StateProvince is one of (antioquia, santander)"
 ]
 }
 ]
}

 The dataset includes 133 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005867-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uanw3v
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.26978 39.67492,-0.24973 39.67579,-0.2036 39.6656,-0.19982 39.67608,-0.23045 39.68219,-0.25276 39.68714,-0.26789 39.68219,-0.26978 39.67492))",
 "TaxonKey is Agave L."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005868-250415084134356/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.28824383
title: HER2 CAR-T KnockIn in T cells

description: Generation of Anti-HER2 CAR-T cells, as measured by Protein L expression.
DOI: 10.6084/m9.figshare.28824383.v1
title: HER2 CAR-T KnockIn in T cells

description: Generation of Anti-HER2 CAR-T cells, as measured by Protein L expression.
DOI: 10.6084/m9.figshare.28824383.v2
title: HER2 CAR-T KnockIn in T cells

description: Generation of Anti-HER2 CAR-T cells, as measured by Protein L expression.
DOI: 10.15156/bio/sh1095403.10fu
title: SH1095403.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1095405.10fu
title: SH1095405.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1095415.10fu
title: SH1095415.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.