cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/phz-vdg-h5q
title: †Ptychophylloceras ptychoicum (Quenstedt, 1845)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5kp-63m-m1t
title: Ammonites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hyy-8nc-cnd
title: Chordata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6pl-n11-ke2
title: Ostracoda Latreille, 1802

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cfy-9vk-xff
title: Bison C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/23a-ncb-0ye
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bnn-5k9-f5c
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vts-ven-csw
title: †Lunulites Lamarck, 1816

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h13-vde-y9g
title: Stenarcestes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sy2-vdd-dfh
title: Heterodontus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bfq-3fc-wex
title: †Alveolina oblonga d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hz8-t17-gyw
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rp8-y9l-qk7
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2k7-8fj-tvm
title: Rangifer tarandus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kra-3kf-egc
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y7d-pps-ate
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z3d-ylm-s35
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vr5-yac-6d5
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3vs-dty-veq
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ek0-52q-jal
title: Balaenoptera acutorostrata Lacépède, 1804

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0fq-632-ak0
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ws6-mlr-an4
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/az6-7f6-4n9
title: †Echinocorys gravesii (Desor in L. Agassiz & Desor, 1847)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dc8-xyr-r8p
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yf7-czb-we1
title: Ptychophylloceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/78s-3nq-dhh
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pgv-41t-fa7
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8c6-76v-x98
title: Spiticeras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d73-x8k-69b
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yfd-2va-myh
title: Spiticeras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.rm7wes
title: Occurrence Download

description: A dataset containing 294869681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 294869681 records from 6152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002615-210819072339941/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.28839773
title: Differentially expressed genes in the fat body of Colorado potato beetle at different life stages

description: Differentially expressed genes in the fat body of Colorado potato beetle at different life stages. RNA-seq data was analyzed using Salmon, DESeq2, and clusterProfiler.
DOI: 10.25824/redu/47uwrj
title: Dataset: Polymer degradation and its effects in an electrical submersible pump system

description: The files in the UNICAMP data repository contain test data from experiments with polymer solutions. These datasets support the dissertation "Polymer Degradation and Its Effects in an Electrical Submersible Pump System", conducted at UNICAMP Center for Energy and Petroleum Studies (CEPETRO). The repository includes rheological measurements, dynamic light scattering results, and instrumentation data as pressure, flow rate, density, torque, rotational speed and temperature.
DOI: 10.5281/zenodo.15261845
title: TABLE 1 in A new pest of tomato and other records of mealybugs (Hemiptera: Pseudococcidae) from Espírito Santo, Brazil

description: TABLE 1. Records of mealybugs (Hemiptera: Pseudococcidae) collected from Espírito Santo (ES), Brazil.
Mealybug SpeciesCollection LocationCollection DateHost PlantAntonina graminis (Maskell)Manguinhos, Serra, ES31 May 2004Cynodon dactylonDysmicoccus boninsis (Kuwana)Manguinhos, Serra, ES19 Apr. 2004Saccharum officinarumDysmicoccus brevipes (Cockerell)Vitória, ES4 Apr. 2004Cucurbita pepoD. brevipesManguinhos, Serra, ES26 Jun. 2004Ananas comosusPseudococcus viburni (Signoret)Vitória, ESMay 2004Solanum tuberosumPhenacoccus solenopsis TinsleyVitória, ESOct. 2004Solanum lycopersicumPh. solenopsisManguinhos, Serra, ES3 Jan. 2005S. lycopersicumPh. solenopsisVitória, ES11 Jan. 2005S. lycopersicumPh. solenopsisManguinhos, Serra, ES~15 Dec. 2004Unidentified weedPh. solenopsisManguinhos, Serra, ES9 Jan. 2005Unidentified weed (Spermacoce sp.?)
description: Published as part of Culik, Mark P. & Gullan, Penny J., 2005, A new pest of tomato and other records of mealybugs (Hemiptera: Pseudococcidae) from Espírito Santo, Brazil, pp. 3 in Zootaxa 964 (1) on page 3, DOI: 10.11646/zootaxa.964.1.1, http://zenodo.org/record/5046277
DOI: 10.5281/zenodo.15261846
title: TABLE 1 in A new pest of tomato and other records of mealybugs (Hemiptera: Pseudococcidae) from Espírito Santo, Brazil

description: TABLE 1. Records of mealybugs (Hemiptera: Pseudococcidae) collected from Espírito Santo (ES), Brazil.
Mealybug SpeciesCollection LocationCollection DateHost PlantAntonina graminis (Maskell)Manguinhos, Serra, ES31 May 2004Cynodon dactylonDysmicoccus boninsis (Kuwana)Manguinhos, Serra, ES19 Apr. 2004Saccharum officinarumDysmicoccus brevipes (Cockerell)Vitória, ES4 Apr. 2004Cucurbita pepoD. brevipesManguinhos, Serra, ES26 Jun. 2004Ananas comosusPseudococcus viburni (Signoret)Vitória, ESMay 2004Solanum tuberosumPhenacoccus solenopsis TinsleyVitória, ESOct. 2004Solanum lycopersicumPh. solenopsisManguinhos, Serra, ES3 Jan. 2005S. lycopersicumPh. solenopsisVitória, ES11 Jan. 2005S. lycopersicumPh. solenopsisManguinhos, Serra, ES~15 Dec. 2004Unidentified weedPh. solenopsisManguinhos, Serra, ES9 Jan. 2005Unidentified weed (Spermacoce sp.?)
description: Published as part of Culik, Mark P. & Gullan, Penny J., 2005, A new pest of tomato and other records of mealybugs (Hemiptera: Pseudococcidae) from Espírito Santo, Brazil, pp. 3 in Zootaxa 964 (1) on page 3, DOI: 10.11646/zootaxa.964.1.1, http://zenodo.org/record/5046277
DOI: 10.5281/zenodo.15250533
title: High Resolution Daily Multilayer Soil Moisture Dataset 2002 to 2013 Derived from Integrated Multi-Source Data Fusion

description: This dataset records global daily seamless soil moisture from 2002-2013 at a spatial resolution of 0.05° in three layers.

Each year's zip contains four nc files inside, with Q1-Q4 representing the four seasons

The record contains NetCDF‑4 files for each quarter (Q1–Q4) of each year, with filenames following the pattern SWSM_Layer1_<YYYY>_Q<q>.nc 

Each file groups three variables—L1, L2, and L3—corresponding to three layers (0-10cm, 10-30cm, 30-60cm), enabling multi‑layer analyses within a single dataset 

L1, L2, L3 (uint8): three raster layers derived from raw GeoTIFFs, stacked along time for each quarter; long_name attributes describe layer and quarter

Processing: raw TIFF pixel values (int) are directly integer‑divided by 100, , and special value 255 to flag missing data
DOI: 10.5281/zenodo.15250534
title: High Resolution Daily Multilayer Soil Moisture Dataset 2002 to 2013 Derived from Integrated Multi-Source Data Fusion

description: This dataset records global daily seamless soil moisture from 2002-2013 at a spatial resolution of 0.05° in three layers.

Each year's zip contains four nc files inside, with Q1-Q4 representing the four seasons

The record contains NetCDF‑4 files for each quarter (Q1–Q4) of each year, with filenames following the pattern SWSM_Layer1_<YYYY>_Q<q>.nc 

Each file groups three variables—L1, L2, and L3—corresponding to three layers (0-10cm, 10-30cm, 30-60cm), enabling multi‑layer analyses within a single dataset 

L1, L2, L3 (uint8): three raster layers derived from raw GeoTIFFs, stacked along time for each quarter; long_name attributes describe layer and quarter

Processing: raw TIFF pixel values (int) are directly integer‑divided by 100, , and special value 255 to flag missing data
DOI: 10.48597/9n84-hk9u
title: Particle_number_concentration at Puy de Dôme

description: Measurement of Particle_number_concentration at Puy de Dôme
DOI: 10.48597/edex-xvjh
title: Measurement of Particle_number_concentration at Puy de Dôme

description: Measurement of Particle_number_concentration at Puy de Dôme
DOI: 10.48597/77hm-j4wg
title: Measurement of Particle_number_concentration at Puy de Dôme

description: Measurement of Particle_number_concentration at Puy de Dôme
DOI: 10.15468/dl.esua6s
title: Occurrence Download

description: A dataset containing 13926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Malurus elegans Gould, 1837"
 ]
}

 The dataset includes 13926 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009694-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18167/dvn1/weqwbu
title: Determination of hydrogen cyanide and dry matter content for fresh grated cassava, at NaCRRI, Uganda.

description: Hydrogen cyanide (HCN) and dry matter content (DMC) were evaluated on accessions of cassava in a PYT population (2023_C3_PYT_Namulonge). Dry matter was assayed using a gravimetric assay (oven drying and weighing) whereas HCN was assayed using a picrate colorimetric assay.
DOI: 10.15468/dl.pn9huu
title: Occurrence Download

description: A dataset containing 98268884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((38.000 85.000, -27.000 85.000, -27.000 56.000, 38.000 56.000, 38.000 85.000))",
 "Year 2010-2019"
 ]
}

 The dataset includes 98268884 records from 1441 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009682-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10725788
title: A unified template for sediment source fingerprinting databases

description: Over the last few years, the sediment source fingerprinting community has been engaged in promoting best practices to improve the design and the implementation of sediment fingerprinting techniques (Evrard et al., 2022). Data sharing is a key part of open science making research more reliable and accessible to the community. To move forward and improve data sharing, we propose these templates for databases and metadata.

These templates include: common metadata for samples (soil, river flood deposit, sediment core...) description (name, IGSN, location, sampling date...), list and description of common properties (elemental geochemistry, organic matter, radionuclides…) used in sediment source fingerprinting studies. These templates are intended to evolve thanks to the participation of the community, as part of a collaborative project.

In addition, the collectionneur R package was designed to help researchers and data managers maintain an up-to-date and well-organized database. is avalaible on GitHub (https://github.com/tchalauxclergue/collectionneur) and Zenodo (https://doi.org/10.5281/zenodo.15146958). It facilitates the comparison and integration of new data entries into an existing database while keeping a detailed report of all modifications. All database formats are allowed, although it was initially designed for sediment source fingerprinting databases.

Published databases following these templates are listed in the References section below.
DOI: 10.5281/zenodo.10725787
title: A unified template for sediment source fingerprinting databases

description: Over the last few years, the sediment source fingerprinting community has been engaged in promoting best practices to improve the design and the implementation of sediment fingerprinting techniques (Evrard et al., 2022). Data sharing is a key part of open science making research more reliable and accessible to the community. To move forward and improve data sharing, we propose these templates for databases and metadata.

These templates include: common metadata for samples (soil, river flood deposit, sediment core...) description (name, IGSN, location, sampling date...), list and description of common properties (elemental geochemistry, organic matter, radionuclides…) used in sediment source fingerprinting studies. These templates are intended to evolve thanks to the participation of the community, as part of a collaborative project.

In addition, the collectionneur R package was designed to help researchers and data managers maintain an up-to-date and well-organized database. is avalaible on GitHub (https://github.com/tchalauxclergue/collectionneur) and Zenodo (https://doi.org/10.5281/zenodo.15146958). It facilitates the comparison and integration of new data entries into an existing database while keeping a detailed report of all modifications. All database formats are allowed, although it was initially designed for sediment source fingerprinting databases.

Published databases following these templates are listed in the References section below.
DOI: 10.18167/dvn1/eghcgp
title: Determination of starch yield and hydrogen cyanide (HCN) for fresh grated cassava root at NaCRRI, Uganda.

description: Starch yield and hydrogen cyanide (HCN) were assessed on 29 accessions of cassava in a preliminary yield trial (2023_PYT_B_Namulonge) using a gravimetric assay for starch yield and picrate assay for HCN.
DOI: 10.15468/dl.sq8y75
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "DatasetKey is one of (MUTPL Bird Collection, EOD – eBird Observation Dataset)",
 "Geometry POLYGON((-82.43176067316665 -5.215111552905185,-78.43176067316665 -5.215111552905185,-78.43176067316665 -1.215111552905185,-82.43176067316665 -1.215111552905185,-82.43176067316665 -5.215111552905185))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is one of (Setophaga striata (J.R.Forster, 1772), Calidris canutus (Linnaeus, 1758), Calidris canutus piersmai Tomkovich, 2001, Buteo swainsoni Bonaparte, 1838, Calidris canutus roselaari Tomkovich, 1990, Calidris canutus islandica (Linnaeus, 1767), Calidris canutus canutus, Calidris canutus rogersi (Mathews, 1913), Calidris canutus rufa (A.Wilson, 1813), Antigone canadensis (Linnaeus, 1758), Antigone canadensis canadensis, Antigone canadensis pratensis (Meyer & Faa, 1794), Antigone canadensis nesiotes (Bangs & Zappey, 1905), Antigone canadensis tabida (J.L.Peters, 1925), Antigone canadensis rowani, Antigone canadensis pulla (Aldrich, 1972), Limosa lapponica (Linnaeus, 1758), Limosa lapponica taymyrensis Engelmoer & Roselaar, 1998, Limosa lapponica lapponica, Limosa lapponica anadyrensis Engelmoer & Roselaar, 1998, Limosa lapponica menzbieri Portenko, 1936, Limosa lapponica baueri J.F.Naumann, 1836)",
 "Year 2021-2025"
 ]
}

 The dataset includes 47 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009698-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fsj4g
title: Occurrence Download

description: A dataset containing 20599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((5.103088 52.336764, 5.039168 52.363763, 5.093425 52.436445, 5.0218 52.447607, 4.999566 52.460474, 4.953605 52.476441, 4.90515 52.493379, 4.857326 52.521991, 4.798965 52.546086, 4.709542 52.547421, 4.661368 52.536762, 4.591253 52.531373, 4.579979 52.507072, 4.552873 52.461667, 4.531781 52.396676, 4.487346 52.332689, 4.602057 52.242447, 4.668123 52.204663, 4.719118 52.200022, 4.768497 52.203951, 4.882334 52.223882, 4.972866 52.23379, 5.033912 52.246833, 5.078153 52.288947, 5.103088 52.336764))",
 "InstitutionCode is iNaturalist",
 {
 "not" : {
 "KingdomKey" : [
 "is one of (Bacteria, Chromista, Protozoa, Viruses, incertae sedis)"
 ]
 }
 },
 {
 "not" : {
 "PhylumKey" : [
 "is one of (Porifera, Cnidaria, Ctenophora, Chaetognatha, Brachiopoda, Bryozoa, Phoronida, Echinodermata, Hemichordata, Rhodophyta, Chlorophyta, Charophyta)"
 ]
 }
 },
 {
 "not" : {
 "ClassKey" : [
 "is one of (Polychaeta, Rhynchobdellida, Bivalvia, Cephalopoda, Polyplacophora, Scaphopoda, Sipuncula, Stomatopoda, Maxillopoda, Copepoda, Merostomata, Branchiopoda, Ascidiacea, Thaliacea, Myxini, Elasmobranchii, Holocephali, Petromyzonti)"
 ]
 }
 },
 {
 "not" : {
 "FamilyKey" : [
 "is one of (Viviparidae, Naticidae, Littorinidae, Tateidae, Strombidae, Calyptraeidae, Caecidae, Cassidae, Tornidae, Ovulidae, Hipponicidae, Cypraeidae, Triviidae, Cymatiidae, Neritidae, Euryleptidae, Dugesiidae, Caprellidae, Gammaridae, Cirolanidae, Sphaeromatidae, Idoteidae, Philosciidae, Porcellionidae, Halophilosciidae, Aegidae, Cylisticidae, Delphinidae, Phocoenidae)"
 ]
 }
 },
 {
 "not" : {
 "OrderKey" : [
 "is one of (Nudibranchia, Cephalaspidea, Neogastropoda, Trochida, Pteropoda, Lepetellida, Aplysiida, Decapoda, Acipenseriformes, Amiiformes, Anguilliformes)"
 ]
 }
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than 100",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Living Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 20599 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009702-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ncawy
title: Occurrence Download

description: A dataset containing 4120653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 4120653 records from 2362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009689-250415084134356/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.28927508
title: <b>Khat (</b><b><i>Catha edulis</i></b><b>) and metabolic syndrome: A Systematic review</b>

description: Khat (<i>Catha edulis</i>) is a psychostimulant herb grown in East Africa and the Arabian Peninsula, mainly in Yemen, Ethiopia, Somalia, Madagascar and Kenya. Given that the use of khat has transcended its traditional geographical locations, owed to factors such as migration and enhanced accessibility there is enhanced need to understand health implications of the substance especially regarding non-communicable diseases (NCDs), whose prevalence is increasing globally. The relationship between khat and metabolic health is hard to understand because different studies undertaken in the previous years are diverse in study designs, sample population and methods. Because there is variation in khat chewing with regard to frequency, amount, and regional differences in cathinone content, it is hard to make generalizations. Moreover, the specific roles of khat in the development of Metabolic syndrome (MetS) are likely to be masked by several interfering effects that arise from the interaction of khat with different risks behaviors including alcohol and tobacco smoking which co-exist with khat intake. This review aimed to evaluate the data on how khat affects components of MetS, particularly, body weight, obesity, lipid profile changes and hypertension.
DOI: 10.6084/m9.figshare.28927508.v1
title: <b>Khat (</b><b><i>Catha edulis</i></b><b>) and metabolic syndrome: A Systematic review</b>

description: Khat (<i>Catha edulis</i>) is a psychostimulant herb grown in East Africa and the Arabian Peninsula, mainly in Yemen, Ethiopia, Somalia, Madagascar and Kenya. Given that the use of khat has transcended its traditional geographical locations, owed to factors such as migration and enhanced accessibility there is enhanced need to understand health implications of the substance especially regarding non-communicable diseases (NCDs), whose prevalence is increasing globally. The relationship between khat and metabolic health is hard to understand because different studies undertaken in the previous years are diverse in study designs, sample population and methods. Because there is variation in khat chewing with regard to frequency, amount, and regional differences in cathinone content, it is hard to make generalizations. Moreover, the specific roles of khat in the development of Metabolic syndrome (MetS) are likely to be masked by several interfering effects that arise from the interaction of khat with different risks behaviors including alcohol and tobacco smoking which co-exist with khat intake. This review aimed to evaluate the data on how khat affects components of MetS, particularly, body weight, obesity, lipid profile changes and hypertension.
DOI: 10.5281/zenodo.15336760
title: juniperus_brevifolia_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.15336761
title: juniperus_brevifolia_decontaminated_FSCR.fasta.gz