cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1195501.10fu
title: SH1195501.10FU

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/sh1195502.10fu
title: SH1195502.10FU

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/sh1195504.10fu
title: SH1195504.10FU

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/sh1195509.10fu
title: SH1195509.10FU

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: 10.5281/zenodo.14582793
title: Teste
DOI: 10.15468/dl.xpf33s
title: Occurrence Download

description: A dataset containing 88101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mesogobius batrachocephalus (Pallas, 1814), Neogobius fluviatilis (Pallas, 1814), Neogobius melanostomus (Pallas, 1814), Petroleuciscus borysthenicus (Kessler, 1859), Neogobius platyrostris (Pallas, 1814), Neogobius ratan (Nordmann, 1840), Rutilus frisii (Nordmann, 1840), Acipenser fulvescens Rafinesque, 1817, Acipenser oxyrinchus Mitchill, 1815, Alosa aestivalis (Mitchill, 1814), Alosa alabamae Jordan & Evermann, 1896, Alosa chrysochloris (Rafinesque, 1820), Alosa pseudoharengus (Wilson, 1811), Ambloplites ariommus Viosca, 1936, Ambloplites rupestris (Rafinesque, 1817), Ameiurus brunneus Jordan, 1877, Ameiurus catus (Linnaeus, 1758), Ameiurus natalis (Lesueur, 1819), Ameiurus nebulosus (Lesueur, 1819), Amia calva Linnaeus, 1766, Ammocrypta beanii Jordan, 1877, Ammocrypta meridiana Williams, 1975)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 88101 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054637-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qfz98
title: Occurrence Download

description: A dataset containing 25844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solea solea (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 25844 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054641-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ut8k74
title: Occurrence Download

description: A dataset containing 642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Somniosus microcephalus (Bloch & Schneider, 1801)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 642 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054643-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp6rsf
title: Occurrence Download

description: A dataset containing 4027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Somniosus pacificus Bigelow & Schroeder, 1944",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 4027 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054644-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4gs52
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Korea (Democratic People’s Republic of), Japan)",
 "TaxonKey is Corydalis turtschaninovii Besser"
 ]
}

 The dataset includes 361 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054645-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbquz3
title: Occurrence Download

description: A dataset containing 20164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sparisoma atomarium (Poey, 1861)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 20164 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054646-241126133413365/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.28124261
title: Missing table for GO analysis

description: Missing table for GO analysis
DOI: 10.6084/m9.figshare.28124261.v1
title: Missing table for GO analysis

description: Missing table for GO analysis
DOI: 10.15468/dl.xpxk9u
title: Occurrence Download

description: A dataset containing 361532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ammocrypta vivax Hay, 1882, Anchoa mitchilli (Valenciennes, 1848), Anguilla rostrata (Lesueur, 1817), Aphredoderus sayanus (Gilliams, 1824), Aplodinotus grunniens Rafinesque, 1819, Ariopsis felis (Linnaeus, 1766), Atractosteus spatula (Lacepède, 1803), Campostoma oligolepis Hubbs & Greene, 1935, Campostoma pauciradii Burr & Cashner, 1983, Carpiodes cyprinus (Lesueur, 1817), Carpiodes velifer (Rafinesque, 1820), Centrarchus macropterus (Lacepède, 1801), Cottus baileyi Robins, 1961, Cottus bairdii Girard, 1850, Cottus carolinae (Gill, 1861), Cottus paulus Williams, 2000, Cottus tallapoosae Neely, Williams & Mayden, 2007, Crystallaria asprella (Jordan, 1878), Cycleptus elongatus (Lesueur, 1817), Cycleptus meridionalis Burr & Mayden, 1999, Cyprinella caerulea (Jordan, 1877), Cyprinella callistia (Jordan, 1877))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 361532 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054642-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/e3b31ece-cc88-4638-be10-8ccdd4c5f2f7
title: The Growing Strawberries Dataset

description: The Growing Strawberries Dataset (GSD) is a curated multiple-object tracking dataset inspired by the growth monitoring of strawberries. The frames were taken at hourly intervals by six cameras for in total of 16 months in 2021 and 2022, covering 12 plants in two greenhouses respectively. The dataset consists of hourly images collected during the cultivation period, bounding box (bbox) annotations of strawberry fruits, and precise identification and tracking of strawberries over time. GSD contains two types of images - RGB (visual spectrum) and OCN (orange, cyan, near-infrared). These images were captured throughout the cultivation period. Each image sequence represents all the images captured by one camera during the year of cultivation. These sequences are named using the format "&lt;RGB/OCN-1/2/3-2021/2022&gt;." In addition, a small sample captured by one of the RGB cameras is included, featuring images and annotations from a two-day period, along with a demo video spanning seven days. The ground-truth annotations of the bbox and trajectories of strawberries are provided with a coco-format JSON file and a TXT file for compatibility with the MOT Challenge evaluation tools. In addition, we archived further (non-annotated) growth monitoring from 2023 and 2024 and images that were too dark in other datasets of the same collection.
DOI: 10.4121/e3b31ece-cc88-4638-be10-8ccdd4c5f2f7.v2
title: The Growing Strawberries Dataset

description: The Growing Strawberries Dataset (GSD) is a curated multiple-object tracking dataset inspired by the growth monitoring of strawberries. The frames were taken at hourly intervals by six cameras for in total of 16 months in 2021 and 2022, covering 12 plants in two greenhouses respectively. The dataset consists of hourly images collected during the cultivation period, bounding box (bbox) annotations of strawberry fruits, and precise identification and tracking of strawberries over time. GSD contains two types of images - RGB (visual spectrum) and OCN (orange, cyan, near-infrared). These images were captured throughout the cultivation period. Each image sequence represents all the images captured by one camera during the year of cultivation. These sequences are named using the format "&lt;RGB/OCN-1/2/3-2021/2022&gt;." In addition, a small sample captured by one of the RGB cameras is included, featuring images and annotations from a two-day period, along with a demo video spanning seven days. The ground-truth annotations of the bbox and trajectories of strawberries are provided with a coco-format JSON file and a TXT file for compatibility with the MOT Challenge evaluation tools. In addition, we archived further (non-annotated) growth monitoring from 2023 and 2024 and images that were too dark in other datasets of the same collection.
DOI: 10.15468/dl.vec6pc
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Charonia lampas (Linnaeus, 1758)"
 ]
}

 The dataset includes 176 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054648-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p662eh
title: Occurrence Download

description: A dataset containing 97688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sparisoma aurofrenatum (Valenciennes, 1840)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 97688 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054647-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/y6bvr0
title: Validação do questionário VALUS para mulheres com mioma e pólipo na língua portuguesa brasileira

description: Planilha contendo os dados das pacientes que responderam o VALUS
DOI: 10.15468/dl.8vxj6g
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copsychus cebuensis (Steere, 1890)"
 ]
}

 The dataset includes 307 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054650-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5m8y28
title: Occurrence Download

description: A dataset containing 11584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sparisoma chrysopterum (Bloch & Schneider, 1801)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 11584 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054651-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hsvv8vj4hp.1
title: CKD patient dietary management study dataset

description: 1. Research Background and Objective
This study leverages Protection Motivation Theory to analyze and predict the dietary management intentions of Chronic Kidney Disease (CKD) patients, thereby providing theoretical support for developing effective health intervention strategies.

2. Dataset Details
Data Source: The data was collected through questionnaire surveys administered to CKD patients undergoing treatment at a specific tertiary hospital.

Data Collection Method: Structured paper-based questionnaires were distributed and collected.

Data Type: The dataset is provided in SPSS Statistics Data Document (.sav) format and includes both quantitative and qualitative variables.

Variables Description:

Demographic Variables:

Age: Age of the participants.
Gender: Gender of the participants.
Education Level: Highest educational attainment of the participants.
Height: Height of the participants.
Weight: Weight of the participants.
Marital Status: Marital status of the participants.
Employment Status: Employment status of the participants.
Income: Income level of the participants.
Duration of CKD: Length of time since CKD diagnosis.
Protection Motivation Theory Constructs:

Perceived Severity: Participants' perception of the severity of CKD.
Perceived Vulnerability: Participants' perception of their personal risk of worsening CKD.
Response Efficacy: Belief in the effectiveness of dietary management in controlling CKD.
Self-Efficacy: Confidence in their ability to implement dietary management.
Response Cost: Perceived costs or barriers to implementing dietary management.
Dietary Management Intention: Level of intention to engage in dietary management in the future.

3. Dataset Usage and Applications
This dataset is suitable for the following research and applications:

Theoretical Research: Further validation and extension of Protection Motivation Theory in predicting health behaviors.
Health Interventions: Designing targeted dietary management interventions for CKD patients to enhance their implementation intentions and actual behaviors.
4. Data Quality and Limitations
Limitations:
Data Source: This study relies on self-reported survey data, which may be subject to recall bias and social desirability bias.
Selection Bias: Including only hospitalized patients may lead to selection bias, limiting the applicability of findings to outpatient populations.
5. Data Access and Usage License
License: This dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0), allowing for sharing and adaptation with appropriate attribution to the original authors.
Access Permissions: Public access, available for anyone to download and use for academic research and non-commercial purposes.
DOI: 10.17632/ygf9b7yfpd.1
title: The Data of Adolescents' After-School Behaviors, Self-Management, and Parental Involvement

description: We created a paper-based daily behavior log sheet to better understand students' after-school behaviors, self-management, and parental involvement. The log sheet includes categories such as sleep, classroom learning, homework, review, reading, exercise, electronic device use, self-assessment, and parental assessment. These categories are assessed quantitatively using a 5-point Likert scale and record the time spent on each activity.
To improve data collection and efficiency, we developed a self-management app based on the paper log sheet. The app includes the same categories and provides feedback reports on students' behavior and self-management performance over daily, weekly, or custom periods. 
This study identified 15 variables from the log sheet that could influence students' academic performance: sleep duration, sleep quality, classroom learning reflections, homework duration, review duration, reading duration, exercise duration, electronic device use, daily mood, self-assessment scores, parental assessment scores, parental involvement scores, number of planned tasks, task execution rate, and total days of log sheet recording. These were selected based on theories of self-management, self-regulation, time management, and prior research linking student behavior to academic success. We used mean imputation to handle missing data, ensuring completeness and validity. We compared the results before and after imputation and found that it did not significantly affect the study’s conclusions.We used SPSS 26.0 for data analysis and employed backward elimination in multiple regression analysis to account for potential interactions among variables.
DOI: 10.17632/c2v57w7p6h.1
title: LPUW_dataset

description: Replication material for the paper "Yield Drifts When Issuance Comes Before Macro News" by Dong Lou, Gabor Pinter, Semih Uslu and Danny Walker.
DOI: 10.15468/dl.jsr6dp
title: Occurrence Download

description: A dataset containing 5217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sparus aurata Linnaeus, 1758",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 5217 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054652-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bfeu5
title: Occurrence Download

description: A dataset containing 3040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Puma concolor (Linnaeus, 1771)",
 "Year 1950-2025"
 ]
}

 The dataset includes 3040 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054653-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5f27as
title: Occurrence Download

description: A dataset containing 838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphoeroides dorsalis Longley, 1934",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 838 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054654-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkd58v
title: Occurrence Download

description: A dataset containing 3352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphoeroides maculatus (Bloch & Schneider, 1801)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 3352 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054656-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uansuu
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Análisis de las poblaciones de oso palmero (Myrmecophaga tridactyla) en el Departamento del Meta"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054657-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.