cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fn4gva
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "TaxonKey is Raphanus raphanistrum L.",
 "Year 1840-1860"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021519-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7901115
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to March 30, 2023. New results will be posted as available. Please see huiokawaiola.com for more information. The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui. Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.8165861
title: Hui o ka Wai Ola Water Quality Data

description: This dataset is the quarterly report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks beginning from June 6, 2016 to June 29, 2023. New results will be posted as available. Please see huiokawaiola.com for more information. The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui. Please use the most recent version, as it is the latest quality assured data available from the group.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.830050
title: Hui O Ka Wai Ola Water Quality Data

description: This dataset is the annual report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks from June 6, 2016 to June 22, 2017.  

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.5281/zenodo.893098
title: Hui O Ka Wai Ola Water Quality Data

description: This dataset is the annual report for the Hui o Ka Wai Ola citizen-science based water quality program. Included are physical and chemical data that were collected and analyzed every two or three weeks from June 6, 2016 to June 22, 2017.  

The goal of the Hui o Ka Wai Ola program is to increase the capacity for monitoring water quality in Maui coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health Clean Water Branch beach monitoring program on Maui.
description: Visit huiokawaiola.com for full methods and most recently data and analysis.
DOI: 10.15468/dl.qqm7zw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys copei (Gill, 1884)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-0.0352 28.8496,-9.0352 28.8496,-9.0352 19.8496,-0.0352 19.8496,-0.0352 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010567-250525065834625/datasets/export for details.
DOI: 10.17632/3wm3jyyyxp.1
title: Lithium isotope fractionation in LCT pegmatites: A density functional theory study

description: All data sheets associated with the manuscript titled "Lithium isotope fractionation in LCT pegmatites: A density functional theory study"
DOI: 10.15468/dl.nvts5p
title: Occurrence Download

description: A dataset containing 2228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Occurrence evidence)",
 "Continent is Africa",
 "DatasetKey is one of (Botanical Database of Southern Africa (BODATSA): Botanical Collections, iNaturalist Research-grade Observations, Données d’observations floristiques agrégées au sein de Mascarine (CBN-CPIE Mascarin) - Données d’observations floristiques acquises par le CBN-CPIE Mascarin, INPN - Données flore des CBN agrégées par la FCBN, FLOTROP, a massive contribution to plant diversity data for open ecosystems in Tropical Africa., Tropicos Specimens Non-MO, Naturalis Biodiversity Center (NL) - Botany, Meise Botanic Garden Herbarium (BR), Données d’observations floristiques agrégées au sein de Mascarine (CBN-CPIE Mascarin) - Données d’observations floristiques produits par les partenaires externes (hors parc National de La Réunion) agrégées au sein de Mascarine, All herbarium specimens of grasses from Madagascar and the surrounding islands: family Poaceae, sector AFM)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Panicum maximum var. trichoglume Robyns, Panicum maximum Nees, 1841, Panicum maximum Hochst. ex A.Rich., Panicum maximum Hochst., Panicum maximum Jacq., Panicum maximum var. heterotrichum Peter, Panicum maximum var. hirsutissimum (Steud.) Oliv., Panicum maximum var. altissimum Kuntze, Panicum maximum var. gongylodes (J.Jacq.) Döll, Panicum maximum var. coloratum C.T.White)"
 ]
}

 The dataset includes 2228 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021921-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fxfdwywfn6
title: The efficacy was evaluated based on the change of skin color and area fading on a 5-point scale after treatment with 1064 nm picosecond Nd: YAG laser

description: Figure S1. Complete clearance. (A) before treatment, (B) after 4 treatments using 1064 nm picosecond Nd: YAG laser.
Figure S2. Excellent clearance. (A) before treatment, (B) after 6 treatments using 1064 nm picosecond Nd: YAG laser. 
Figure S3. Good clearance. (A) before treatment, (B) after 3 treatments using 1064 nm picosecond Nd: YAG laser. 
Figure S4. Fair clearance. (A) before treatment, (B) after 4 treatments using 1064 nm picosecond Nd: YAG laser.
Figure S5. Poor clearance.  (A) before treatment, (B) after 4 treatments using 1064 nm picosecond Nd: YAG laser.
DOI: 10.17632/fxfdwywfn6.1
title: The efficacy was evaluated based on the change of skin color and area fading on a 5-point scale after treatment with 1064 nm picosecond Nd: YAG laser

description: Figure S1. Complete clearance. (A) before treatment, (B) after 4 treatments using 1064 nm picosecond Nd: YAG laser.
Figure S2. Excellent clearance. (A) before treatment, (B) after 6 treatments using 1064 nm picosecond Nd: YAG laser. 
Figure S3. Good clearance. (A) before treatment, (B) after 3 treatments using 1064 nm picosecond Nd: YAG laser. 
Figure S4. Fair clearance. (A) before treatment, (B) after 4 treatments using 1064 nm picosecond Nd: YAG laser.
Figure S5. Poor clearance.  (A) before treatment, (B) after 4 treatments using 1064 nm picosecond Nd: YAG laser.
DOI: 10.34740/kaggle/dsv/12068533
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.17632/z5gpthkmxm
title: Twelve-Year Epidemiological Trends, Toxin Characterization, and Bacterial Vaginosis Associations of Enteric Pathogens Detected by Multiplex PCR

description: This collection contains five de-identified Excel workbooks (Datasets 1–5) plus two CSV key‐files, documenting molecular diagnostic results, demographic metadata, and derived analytics for gastrointestinal (GIT) pathogen testing at Medical Diagnostic Laboratories LLC. The date range spans January 2014 to March 2025. All direct patient and sample identifiers (MDLNo and Patient-ID) have been replaced with anonymized codes.

Researchers may reproduce published analyses (χ² cross-tabulations, Poisson harmonic regression, STL decomposition, co-occurrence networks, and machine‐learning models) from Osei Sekyere et al. (2025, BioRxiv). This enables studies of prevalence, seasonality, and predictive modeling across an 121+ year period.

2. File Contents
Dataset 1. GIT-No-toxins_deidentified.xlsx
 Sheet: Dataset-No-toxins
 Description: All multiplex GIT panel PCR tests excluding toxin genes. Each row is one test on a unique or repeat sample. The raw date‐collected is omitted (monthly aggregation available in Dataset 5).

Dataset 2. CD-Toxins_deidentified.xlsx
 Sheet: C.difficile+toxins
 Description: Toxin subtyping data for C. difficile. One molecular test per row; includes both species presence and toxin gene presence.

Dataset 3. Ecoli-Shigella-toxins_deidentified.xlsx
 Sheet: E.coli+Shigella+toxins
 Description: Subtyping assays for E. coli (O157/Shiga‐toxin) and Shigella spp. Each row is one assay result.

Dataset 4. Statistics & ML_deidentified.xlsx
 Sheet(s): (preserve original sheet names, e.g., ML-Results, Feature-Importances, etc.)
 Description: Consolidated analytic outputs for machine learning models (Logistic Regression, Random Forest, XGBoost). Contains per-sample predictions (anonymized), model performance metrics, and feature‐importance data. Use to reproduce Figures D1–D5 and associated Supplementary Figures.

Dataset 5. Seasonality-Temporal dynamics_deidentified.xlsx
 Sheet: Monthly_Positive_Counts
Description: Derived monthly aggregation and summary statistics for Poisson harmonic regression and STL decomposition. Reproduce all seasonal plots and numeric tables.

3. Data Provenance & Methods
 Laboratory: Medical Diagnostic Laboratories LLC, Hamilton Township, NJ, USA.
 Time Period: January 2014–March 2025.
 Assays: 
 Multiplex GIT panel (bacterial, viral, protozoal pathogens; no toxin genes).
 C. difficile toxin PCR for toxin A/B genes.
 E. coli/Shigella subtyping (rfbA, stx1, stx2 genes
Laboratory: Medical Diagnostic Laboratories LLC, Hamilton Township, NJ, USA.

Time Period: January 2014–March 2025.

License:
Data are CC0 (public domain), permitting unrestricted reuse for research and publication.

Contact: Dr. John Osei, jod14139@yahoo.com, for questions about data. 

Keywords: Gastrointestinal pathogens; multiplex PCR; Clostridioides difficile; Escherichia coli; Shigella; seasonality; Poisson regression; STL decomposition; machine learning; de-identified clinical data
DOI: 10.17632/z5gpthkmxm.1
title: Twelve-Year Epidemiological Trends, Toxin Characterization, and Bacterial Vaginosis Associations of Enteric Pathogens Detected by Multiplex PCR

description: This collection contains five de-identified Excel workbooks (Datasets 1–5) plus two CSV key‐files, documenting molecular diagnostic results, demographic metadata, and derived analytics for gastrointestinal (GIT) pathogen testing at Medical Diagnostic Laboratories LLC. The date range spans January 2014 to March 2025. All direct patient and sample identifiers (MDLNo and Patient-ID) have been replaced with anonymized codes.

Researchers may reproduce published analyses (χ² cross-tabulations, Poisson harmonic regression, STL decomposition, co-occurrence networks, and machine‐learning models) from Osei Sekyere et al. (2025, BioRxiv). This enables studies of prevalence, seasonality, and predictive modeling across an 121+ year period.

2. File Contents
Dataset 1. GIT-No-toxins_deidentified.xlsx
 Sheet: Dataset-No-toxins
 Description: All multiplex GIT panel PCR tests excluding toxin genes. Each row is one test on a unique or repeat sample. The raw date‐collected is omitted (monthly aggregation available in Dataset 5).

Dataset 2. CD-Toxins_deidentified.xlsx
 Sheet: C.difficile+toxins
 Description: Toxin subtyping data for C. difficile. One molecular test per row; includes both species presence and toxin gene presence.

Dataset 3. Ecoli-Shigella-toxins_deidentified.xlsx
 Sheet: E.coli+Shigella+toxins
 Description: Subtyping assays for E. coli (O157/Shiga‐toxin) and Shigella spp. Each row is one assay result.

Dataset 4. Statistics & ML_deidentified.xlsx
 Sheet(s): (preserve original sheet names, e.g., ML-Results, Feature-Importances, etc.)
 Description: Consolidated analytic outputs for machine learning models (Logistic Regression, Random Forest, XGBoost). Contains per-sample predictions (anonymized), model performance metrics, and feature‐importance data. Use to reproduce Figures D1–D5 and associated Supplementary Figures.

Dataset 5. Seasonality-Temporal dynamics_deidentified.xlsx
 Sheet: Monthly_Positive_Counts
Description: Derived monthly aggregation and summary statistics for Poisson harmonic regression and STL decomposition. Reproduce all seasonal plots and numeric tables.

3. Data Provenance & Methods
 Laboratory: Medical Diagnostic Laboratories LLC, Hamilton Township, NJ, USA.
 Time Period: January 2014–March 2025.
 Assays: 
 Multiplex GIT panel (bacterial, viral, protozoal pathogens; no toxin genes).
 C. difficile toxin PCR for toxin A/B genes.
 E. coli/Shigella subtyping (rfbA, stx1, stx2 genes
Laboratory: Medical Diagnostic Laboratories LLC, Hamilton Township, NJ, USA.

Time Period: January 2014–March 2025.

License:
Data are CC0 (public domain), permitting unrestricted reuse for research and publication.

Contact: Dr. John Osei, jod14139@yahoo.com, for questions about data. 

Keywords: Gastrointestinal pathogens; multiplex PCR; Clostridioides difficile; Escherichia coli; Shigella; seasonality; Poisson regression; STL decomposition; machine learning; de-identified clinical data
DOI: 10.17632/m5v8wtyc38
title: Dataset of People's Comments on X Platform for Indonesian Cosmetic Brand

description: This thesis analyzes customer satisfaction in response to the closure of SYCA, a popular Indonesian cosmetic brand, using sentiment analysis techniques. The study examines customer feedback collected from social media platform X (formerly Twitter) between 2022 and 2024. By applying the Naïve Bayes algorithm within the CRISP-DM framework, it categorizes sentiments as positive or negative. Findings indicate that most consumers expressed positive sentiment and disappointment due to SYCA’s closure, emphasizing the brand's perceived quality and emotional attachment. This research aims to provide insights for local cosmetic brands to enhance customer satisfaction and sustainability amidst industry challenges.
DOI: 10.17632/m5v8wtyc38.1
title: Dataset of People's Comments on X Platform for Indonesian Cosmetic Brand

description: This thesis analyzes customer satisfaction in response to the closure of SYCA, a popular Indonesian cosmetic brand, using sentiment analysis techniques. The study examines customer feedback collected from social media platform X (formerly Twitter) between 2022 and 2024. By applying the Naïve Bayes algorithm within the CRISP-DM framework, it categorizes sentiments as positive or negative. Findings indicate that most consumers expressed positive sentiment and disappointment due to SYCA’s closure, emphasizing the brand's perceived quality and emotional attachment. This research aims to provide insights for local cosmetic brands to enhance customer satisfaction and sustainability amidst industry challenges.
DOI: 10.15468/dl.8z2mx4
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cercis siliquastrum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 97 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050009-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azrkeg
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ClassKey is Amphibia",
 "DecimalLatitude is -27.5834024103131,-26.8290967530513",
 "DecimalLongitude is 30.0087371586102,30.9245216205715"
 ]
}

 The dataset includes 362 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050007-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y964nk
title: Occurrence Download

description: A dataset containing 1534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dioscorea acanthogene Rusby, Dioscorea alainii Raz, Dioscorea amazonum Mart. ex Griseb.)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1534 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022012-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16909285
title: GMSL experiments

description: The winter mean data including frequency and cumulative intensity of extreme cold events, blocking frequency, air temperature, wind, geopotential height, and sea surface temperature from the sea-level experiments. More model output can be provided, upon reasonable request, from the author C.D. (caoyi@cug.edu.cn).
DOI: 10.5281/zenodo.16909284
title: GMSL experiments

description: The winter mean data including frequency and cumulative intensity of extreme cold events, blocking frequency, air temperature, wind, geopotential height, and sea surface temperature from the sea-level experiments. More model output can be provided, upon reasonable request, from the author C.D. (caoyi@cug.edu.cn).
DOI: 10.15468/dl.zsckcr
title: Occurrence Download

description: A dataset containing 7153723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 7153723 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014703-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2x2qes
title: Occurrence Download

description: A dataset containing 3126 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diversity and abundance of the herpetofauna of the Bosque Protector Cerro Blanco, Ecuador during the dry season"
 ]
}

 The dataset includes 3126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014706-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqyawv
title: Occurrence Download

description: A dataset containing 28177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombina variegata (Linnaeus, 1758)",
 "Year 2000-2025"
 ]
}

 The dataset includes 28177 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022389-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnz6jc
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sida rhombifolia",
 "Country is El Salvador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 102 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025649-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bqy9f
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sida rhombifolia",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025650-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73eu2n
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rosa praelucens"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025648-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16911744
title: Data and Code for 'Diverse Regional Shifts in Streamflow Seasonality Under Snow Loss Across the U.S.'

description: ## 🔍 Description

This archive contains both the source code and dataset used in the paper titled 'Diverse Regional Shifts in Streamflow Seasonality Under Snow Loss Across the U.S.'.

The archive includes:

📁 `code/` — Matlab scripts for model procession and  figure presenting



'temp_Snow' includes the structure of temperature-index model to simulate snow accumulation and snow melt;

please open and run the 'inputs_calculations' firstly;

and then run 'plotting' to plot the main figures in our paper


📁 `data and color/` — Dataset in mat formats, including the CAMELS_US dataset, colormap, simulation results of climate used for calculations and visualizations.

---

## ⚙ Requirements & Usage

The project uses MATLAB.
DOI: 10.15468/dl.9rauqy
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018770-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bakeex
title: Occurrence Download

description: A dataset listing the 120818 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 120818 records were derived from 2350 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018762-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15597190
title: Diachronous type-shift of banded iron formations responded the form of supercratons
DOI: 10.5281/zenodo.15597191
title: Diachronous type-shift of banded iron formations responded the form of supercratons