cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26233217.v3
title: <b>SEPARATION AND OPTIMIZATION OF PHENOLIC COMPONENT FROM ANACARDIUM OCCIDENTALES TESTA BY SOLVENT EXTRACTION METHOD</b>

description: To separate and optimize the phenolic components from Anacardium occidentale (cashew) testa using a solvent extraction method, you would typically follow these steps:1. Preparation of Anacardium occidentale testa<b>Collection and Drying:</b> Collect the testa (outer shell) of Anacardium occidentale seeds after processing. Ensure it is thoroughly dried to remove moisture.2. Selection of Solvent<b>Choice of Solvent:</b> Select an appropriate solvent or solvent mixture that can effectively extract phenolic compounds from the testa. Common solvents include ethanol, methanol, acetone, and their mixtures with water.3. Solvent Extraction Process<b>Extraction Procedure:</b>Grind or crush the dried testa into a fine powder to increase the surface area.Place the powdered testa into a container and add the chosen solvent to cover the material completely.Stir or shake the mixture at room temperature or slightly elevated temperature (not exceeding the boiling point of the solvent) for a specified period (typically several hours to overnight) to allow the phenolic compounds to dissolve into the solvent.4. Filtration<b>Separation of Solid and Liquid Phases:</b>After extraction, filter the mixture to separate the solid residue (spent testa) from the liquid extract containing the dissolved phenolic compounds.5. Concentration<b>Solvent Removal:</b>Concentrate the filtrate to reduce the volume of solvent and increase the concentration of phenolic compounds. This can be done using rotary evaporators or other methods of solvent removal under reduced pressure or gentle heating.6. Optimization and Purification<b>Optimization Steps:</b>Test different solvent concentrations, extraction times, and temperatures to optimize the yield of phenolic compounds.Consider using techniques like liquid-liquid extraction or column chromatography for further purification if necessary.7. Characterization and Analysis<b>Analytical Techniques:</b>Analyze the extracted phenolic components using analytical techniques such as HPLC (High-Performance Liquid Chromatography), GC-MS (Gas Chromatography-Mass Spectrometry), or UV-Vis spectroscopy to identify and quantify specific phenolic compounds present.8. Storage and Application<b>Storage and Usage:</b>Store the purified phenolic extract in appropriate conditions (e.g., dark and cool environment) to prevent degradation.Utilize the phenolic extract for various applications such as antioxidant assays, pharmaceuticals, or functional foods.Notes:<b>Safety Precautions:</b> Always handle solvents with caution in a well-ventilated area and follow safety guidelines.<b>Environmental Considerations:</b> Dispose of solvents responsibly according to local regulations.
DOI: 10.6084/m9.figshare.26233217
title: <b>SEPARATION AND OPTIMIZATION OF PHENOLIC COMPONENT FROM ANACARDIUM OCCIDENTALES TESTA BY SOLVENT EXTRACTION METHOD</b>

description: To separate and optimize the phenolic components from Anacardium occidentale (cashew) testa using a solvent extraction method, you would typically follow these steps:1. Preparation of Anacardium occidentale testa<b>Collection and Drying:</b> Collect the testa (outer shell) of Anacardium occidentale seeds after processing. Ensure it is thoroughly dried to remove moisture.2. Selection of Solvent<b>Choice of Solvent:</b> Select an appropriate solvent or solvent mixture that can effectively extract phenolic compounds from the testa. Common solvents include ethanol, methanol, acetone, and their mixtures with water.3. Solvent Extraction Process<b>Extraction Procedure:</b>Grind or crush the dried testa into a fine powder to increase the surface area.Place the powdered testa into a container and add the chosen solvent to cover the material completely.Stir or shake the mixture at room temperature or slightly elevated temperature (not exceeding the boiling point of the solvent) for a specified period (typically several hours to overnight) to allow the phenolic compounds to dissolve into the solvent.4. Filtration<b>Separation of Solid and Liquid Phases:</b>After extraction, filter the mixture to separate the solid residue (spent testa) from the liquid extract containing the dissolved phenolic compounds.5. Concentration<b>Solvent Removal:</b>Concentrate the filtrate to reduce the volume of solvent and increase the concentration of phenolic compounds. This can be done using rotary evaporators or other methods of solvent removal under reduced pressure or gentle heating.6. Optimization and Purification<b>Optimization Steps:</b>Test different solvent concentrations, extraction times, and temperatures to optimize the yield of phenolic compounds.Consider using techniques like liquid-liquid extraction or column chromatography for further purification if necessary.7. Characterization and Analysis<b>Analytical Techniques:</b>Analyze the extracted phenolic components using analytical techniques such as HPLC (High-Performance Liquid Chromatography), GC-MS (Gas Chromatography-Mass Spectrometry), or UV-Vis spectroscopy to identify and quantify specific phenolic compounds present.8. Storage and Application<b>Storage and Usage:</b>Store the purified phenolic extract in appropriate conditions (e.g., dark and cool environment) to prevent degradation.Utilize the phenolic extract for various applications such as antioxidant assays, pharmaceuticals, or functional foods.Notes:<b>Safety Precautions:</b> Always handle solvents with caution in a well-ventilated area and follow safety guidelines.<b>Environmental Considerations:</b> Dispose of solvents responsibly according to local regulations.
DOI: 10.6084/m9.figshare.26233217.v2
title: <b>SEPARATION AND OPTIMIZATION OF PHENOLIC COMPONENT FROM ANACARDIUM OCCIDENTALES TESTA BY SOLVENT EXTRACTION METHOD</b>

description: To separate and optimize the phenolic components from Anacardium occidentale (cashew) testa using a solvent extraction method, you would typically follow these steps:1. Preparation of Anacardium occidentale testa<b>Collection and Drying:</b> Collect the testa (outer shell) of Anacardium occidentale seeds after processing. Ensure it is thoroughly dried to remove moisture.2. Selection of Solvent<b>Choice of Solvent:</b> Select an appropriate solvent or solvent mixture that can effectively extract phenolic compounds from the testa. Common solvents include ethanol, methanol, acetone, and their mixtures with water.3. Solvent Extraction Process<b>Extraction Procedure:</b>Grind or crush the dried testa into a fine powder to increase the surface area.Place the powdered testa into a container and add the chosen solvent to cover the material completely.Stir or shake the mixture at room temperature or slightly elevated temperature (not exceeding the boiling point of the solvent) for a specified period (typically several hours to overnight) to allow the phenolic compounds to dissolve into the solvent.4. Filtration<b>Separation of Solid and Liquid Phases:</b>After extraction, filter the mixture to separate the solid residue (spent testa) from the liquid extract containing the dissolved phenolic compounds.5. Concentration<b>Solvent Removal:</b>Concentrate the filtrate to reduce the volume of solvent and increase the concentration of phenolic compounds. This can be done using rotary evaporators or other methods of solvent removal under reduced pressure or gentle heating.6. Optimization and Purification<b>Optimization Steps:</b>Test different solvent concentrations, extraction times, and temperatures to optimize the yield of phenolic compounds.Consider using techniques like liquid-liquid extraction or column chromatography for further purification if necessary.7. Characterization and Analysis<b>Analytical Techniques:</b>Analyze the extracted phenolic components using analytical techniques such as HPLC (High-Performance Liquid Chromatography), GC-MS (Gas Chromatography-Mass Spectrometry), or UV-Vis spectroscopy to identify and quantify specific phenolic compounds present.8. Storage and Application<b>Storage and Usage:</b>Store the purified phenolic extract in appropriate conditions (e.g., dark and cool environment) to prevent degradation.Utilize the phenolic extract for various applications such as antioxidant assays, pharmaceuticals, or functional foods.Notes:<b>Safety Precautions:</b> Always handle solvents with caution in a well-ventilated area and follow safety guidelines.<b>Environmental Considerations:</b> Dispose of solvents responsibly according to local regulations.
DOI: 10.15468/dl.76gnbv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.164515 -36.730575, 149.164515 -36.737312, 149.16676 -36.737312, 149.16676 -36.730575, 149.164515 -36.730575))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066073-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26592635
title: Additional file 1 of Trade-offs in telemetry tag programming for deep-diving cetaceans: data longevity, resolution, and continuity

description: Additional file 1: Table S1. settings.csv. Detailed settings parameters for SPLASH10 tags.
DOI: 10.15468/dl.7sse8p
title: Occurrence Download

description: A dataset containing 1122068 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Benin"
 ]
}

 The dataset includes 1122068 records from 536 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066041-240626123714530/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.26592635.v1
title: Additional file 1 of Trade-offs in telemetry tag programming for deep-diving cetaceans: data longevity, resolution, and continuity

description: Additional file 1: Table S1. settings.csv. Detailed settings parameters for SPLASH10 tags.
DOI: 10.15468/dl.dphxgs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.209431 -32.362496, 149.209431 -32.369233, 149.211676 -32.369233, 149.211676 -32.362496, 149.209431 -32.362496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066074-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26654977
title: Additional file 1 of Analyzing development finance flows in the Western Balkans’ energy sector: a 2008–2020 perspective

description: Additional file 1: Annex S1. It includes an overview of the scoping literature review process, including searching and screening outputs asfollows—Sheet 1: Search string. Sheet 2: Benchmark list. Sheet 3: Excluded searches based on the title and abstract. Sheet 4: List of unretrievable articles. Sheet 5: Excluded results based on title and abstract screening with reason. Sheet 6: Coding definitions used in the scoping review. Sheet 7: List of the final results.
DOI: 10.6084/m9.figshare.26654977.v1
title: Additional file 1 of Analyzing development finance flows in the Western Balkans’ energy sector: a 2008–2020 perspective

description: Additional file 1: Annex S1. It includes an overview of the scoping literature review process, including searching and screening outputs asfollows—Sheet 1: Search string. Sheet 2: Benchmark list. Sheet 3: Excluded searches based on the title and abstract. Sheet 4: List of unretrievable articles. Sheet 5: Excluded results based on title and abstract screening with reason. Sheet 6: Coding definitions used in the scoping review. Sheet 7: List of the final results.
DOI: 10.15468/dl.x6g9vx
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron chrysodoron Tagg ex Hutch."
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066075-240626123714530/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.26655007
title: Additional file 1 of A novel patient-derived meningioma spheroid model as a tool to study and treat epithelial-to-mesenchymal transition (EMT) in meningiomas

description: Additional file 1. All driver mutations in matched spheroids and tissues.
DOI: 10.6084/m9.figshare.26655007.v1
title: Additional file 1 of A novel patient-derived meningioma spheroid model as a tool to study and treat epithelial-to-mesenchymal transition (EMT) in meningiomas

description: Additional file 1. All driver mutations in matched spheroids and tissues.
DOI: 10.6084/m9.figshare.26655010
title: Additional file 2 of A novel patient-derived meningioma spheroid model as a tool to study and treat epithelial-to-mesenchymal transition (EMT) in meningiomas

description: Additional file 2. Enrichment data of GSEA analyses.
DOI: 10.6084/m9.figshare.26655010.v1
title: Additional file 2 of A novel patient-derived meningioma spheroid model as a tool to study and treat epithelial-to-mesenchymal transition (EMT) in meningiomas

description: Additional file 2. Enrichment data of GSEA analyses.
DOI: 10.6084/m9.figshare.26655013
title: Additional file 3 of A novel patient-derived meningioma spheroid model as a tool to study and treat epithelial-to-mesenchymal transition (EMT) in meningiomas

description: Additional file 3. List of significantly deregulated genes (DEG) between 3D and 2D, 3D and Tissue and 2D and Tissue.
DOI: 10.5281/zenodo.15735506
title: Open Data - Pengaruh Pengetahuan tentang AI dan Dukungan Organisasi terhadap Niat Karyawan Untuk Mengadopsi Teknologi AI dengan Sikap terhadap AI sebagai Variabel Mediasi Pada PT Inti Megah Swara
DOI: 10.5281/zenodo.15735507
title: Open Data - Pengaruh Pengetahuan tentang AI dan Dukungan Organisasi terhadap Niat Karyawan Untuk Mengadopsi Teknologi AI dengan Sikap terhadap AI sebagai Variabel Mediasi Pada PT Inti Megah Swara
DOI: 10.15468/dl.txm27f
title: Occurrence Download

description: A dataset containing 6418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Equus caballus Linnaeus, 1758"
 ]
}

 The dataset includes 6418 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068839-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/7qr5-3y28
title: ICARUS Chamber Experiment: Nguyen Group_20220523_alpha-Pinene/Ammonium Sulfate/Ozone/Hydrogen Peroxide_Ozone_Ammonium sulfate

description: Goals: To quantify SOA yield and gas-phase product yields from humid ozonolysis of a-pinene, which will serve as a "control" experiment to subtract the ozonolysis contribution to the nighttime chemistry of a-pinene as measured in the experiment on 5/20/22.Summary: The chamber was humidified, after which H2O2, and O3 were injected in the chamber and allowed to equilibrate. Ammonium sulfate seed particles were injected. Then a-pinene was injected and decayed by reaction with ozone (plus some contribution from OH). Gas phase organics were monitored by CF3O- CIMS (units: normalized counts), particle formation was monitored by SMPS, and RH, T, O3, NOx were monitored throughout.O3/NOx data sometimes require post-correction not applied here, including subtraction of an ozone interference from H2O2 (1 ppm H2O2 is detected as about 12 ppb ozone) and correction for an in-line HEPA filter (see timeline for applicable timing) that scrubs about 10% of NO2 and 45% of ozone.CIMS ran out of reagent at about 14:30.Organization: Nguyen Group Lab Affiliation: UC Davis Chamber: Tran's big bag of airExperiment Category: Gas phase chemical reaction, Aerosol formation Oxidant: Ozone Reactants: alpha-Pinene, Ammonium Sulfate, Ozone, Hydrogen Peroxide Reaction Type: Dark oxidation Relative Humidity: 63 Temperature: 22 Seed Name: Ammonium sulfate Pressure: ~1 atm
DOI: 10.15468/dl.fe5mv8
title: Occurrence Download

description: A dataset containing 5703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Bos taurus Linnaeus, 1758"
 ]
}

 The dataset includes 5703 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068841-250525065834625/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.29402300
title: Spilanthol data

description: This dataset presents the concentrations of spilanthol (mg) obtained in different parts of the jambu plant (<i>Acmella</i> spp.), varieties Jamb-03, Jamb-16 and Jamb-17, subjected to inoculation with biostimulants based on <i>Trichoderma</i> spp. The collections were carried out 40 days after transplanting, in a protected environment, and the analyses were performed by UPLC (Ultra Performance Liquid Chromatography).
DOI: 10.6084/m9.figshare.29402300.v1
title: Spilanthol data

description: This dataset presents the concentrations of spilanthol (mg) obtained in different parts of the jambu plant (<i>Acmella</i> spp.), varieties Jamb-03, Jamb-16 and Jamb-17, subjected to inoculation with biostimulants based on <i>Trichoderma</i> spp. The collections were carried out 40 days after transplanting, in a protected environment, and the analyses were performed by UPLC (Ultra Performance Liquid Chromatography).
DOI: 10.15468/dl.qtn7dd
title: Occurrence Download

description: A dataset containing 5043 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acrocomia aculeata (Jacq.) Lodd. ex R.Keith"
 ]
}

 The dataset includes 5043 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068842-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15675455
title: Blood Smear Cell Dataset(BCCD,CBC,SBSD)

description: The publicly available BCCD Dataset (Blood Cell Count and Detection Dataset)

 


The publicly available CBC2019 Dataset (Complete Blood Cell Count Dataset)

 


A custom-collected blood smear image dataset with manual annotations and synthetic augmentation, covering:



Red Blood Cells

Schistocytes (fragmented RBCs)

Platelets

Monocytes

Lymphocytes

Granulocytes (including neutrophils, eosinophils, basophils)
DOI: 10.5281/zenodo.15739329
title: Blood Smear Cell Dataset(BCCD,CBC,SBSD)

description: The publicly available BCCD Dataset (Blood Cell Count and Detection Dataset)

 


The publicly available CBC2019 Dataset (Complete Blood Cell Count Dataset)

 


A custom-collected blood smear image dataset with manual annotations and synthetic augmentation, covering:



Red Blood Cells

Schistocytes (fragmented RBCs)

Platelets

Monocytes

Lymphocytes

Granulocytes (including neutrophils, eosinophils, basophils)
DOI: 10.7910/dvn/9xthxa
title: 10Be Production Rates in Meteorites

description: Modelled 10Be production rates in various types of meteorites
DOI: 10.6084/m9.figshare.29374640
title: DDRE-33 Dataset for Distributed Renewable Energy Scenarios

description: The DDRE-33 dataset provides comprehensive scenarios for distributed wind and photovoltaic (PV) power generation suitable for IEEE-33 distribution system studies. This dataset includes both individual node generation scenarios and integrated power output scenario sets that can be directly applied to IEEE-33 distribution system analysis.
DOI: 10.6084/m9.figshare.29374640.v2
title: DDRE-33 Dataset for Distributed Renewable Energy Scenarios

description: The DDRE-33 dataset provides comprehensive scenarios for distributed wind and photovoltaic (PV) power generation suitable for IEEE-33 distribution system studies. This dataset includes both individual node generation scenarios and integrated power output scenario sets that can be directly applied to IEEE-33 distribution system analysis.
DOI: 10.6084/m9.figshare.29374640.v1
title: DDRE-33 Dataset for Distributed Renewable Energy Scenarios

description: The DDRE-33 dataset provides comprehensive scenarios for distributed wind and photovoltaic (PV) power generation suitable for IEEE-33 distribution system studies. This dataset includes both individual node generation scenarios and integrated power output scenario sets that can be directly applied to IEEE-33 distribution system analysis.
DOI: 10.15468/dl.sterku
title: Occurrence Download

description: A dataset containing 1388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aesculus californica (Spach) Nutt.)",
 "StateProvince is one of (California)",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1388 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068843-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/6ok1hu
title: 14C-Production Rates in Meteorites

description: Modeled production rates for 14C in various types of meteorites
DOI: 10.15468/dl.y99vnd
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Bhutan, Nepal, Myanmar, Afghanistan, Pakistan, Bangladesh)",
 "TaxonKey is Bullis buto (de Nicéville, 1895)"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068844-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez6a6k
title: Occurrence Download

description: A dataset listing the 113 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.55197 -33.67676,24.60004 -33.67676,24.60004 -33.65162,24.55197 -33.65162,24.55197 -33.67676))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 113 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068837-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ybnjwl
title: 26Al production rates in meteorites

description: Production Rates for Cosmogenic Radionuclides in Different Types of Meteorites
DOI: 10.15468/dl.g6rg82
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Capra hircus Linnaeus, 1758"
 ]
}

 The dataset includes 67 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068846-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48wcuz
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, Myanmar, Nepal, China, Pakistan, Bangladesh, Bhutan, Afghanistan)",
 "TaxonKey is Rachana jalindra (Horsfield, 1829)"
 ]
}

 The dataset includes 33 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068845-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/opivln
title: 36Cl Production Rates in Meteorites

description: 36Cl production rates in different types of meteorites