cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hvg93zwf2w.1
title: Seasonal trends in atopic dermatitis: A worldwide Google search trends analysis - Supplemental Table 1

description: This data includes countries' IDI score, included and excluded with reason. Red cells indicate countries removed either for being an outlier (low search volume index (SVI)) or Southern Hemisphere countries which were ultimately excluded due to high variability. Green cells indicate included countries (42 total). Blue cells indicate countries that were around or slightly below the IDI cutoff but were included due to their significant SVI. Yellow cells indicate countries that were not assessed at all in the IDI but were added due to their significant SVI.
DOI: 10.17632/v6yxrgpdxc.1
title: Germination of cloud forest native shrubs with potential for restoration in central Veracruz, Mexico

description: We recorded germination percentage, the number of days for the beginning of germination, and the 50% of germination. Our results showed an important difference in the germination response between both germination conditions of the eight species evaluated. The optimal conditions for germination for most species were constant light and temperature of 25°C provided by the germination chamber, as this was associated with high rates of germination and generally rapid seedling development. On the other hand, the conditions of the greenhouse, including the light and alternating temperatures, were unfavorable for most species, leading to low rates of germination and significant delays in the germination process. Although the pre-germinative treatment had no effect on the germination of the species, it might be necessary to conduct field-based germination experiments that consider factors such as water availability, soil moisture, and the effects of varying light intensities.
DOI: 10.6084/m9.figshare.19128751
title: Additional file 3 of Prediction of occult tumor progression via platelet RNAs in a mouse melanoma model: a potential new platform for early detection of cancer

description: Additional file 3: Table S10. Differentially expressed mRNAs in PBMCs of suboptimal inoculation group compared with optimal inoculation group and control group.
DOI: 10.5281/zenodo.10658581
title: asparagus_racemosus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10658582
title: asparagus_racemosus_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.7594421
title: Detachment of adhered particles from a cloth surface subjected to a rod strike

description: A mechanical impulse can cause adhered particles to detach from a surface. For various purposes, particle detachment may need to be enhanced or restricted. Unlike rigid solids, cloth material can be deformed or bent by a mechanical impulse. However, neither the cloth deformation nor the induced turbulent airflow has been well studied. This investigation experimentally measured the detachment of Arizona test dust (ATD) from cloth segments. The vertical margins of each cloth segment were fastened to a frame, and the cloth surface with the ATD adhered to the reverse side was struck with a rod. The cloth motion, induced airflow, and particle detachment were recorded by a high-speed camera. In addition, the displacement and acceleration of the cloth were monitored with a laser distance sensor. The mass percentages of detached particles from the cloth and the particle residual were weighed. Several factors that affected particle detachment were compared. The results revealed that the particle detachment was caused by a combination of the vibrating motion of the cloth surface, the hydrodynamic action of the induced turbulent airflows, and the particle agglomeration when the cloth was bent. A strike could even leave fewer residual particles when a much higher surface dust load had initially adhered to the cloth. Copyright © 2019 American Association for Aerosol Research
DOI: 10.17632/64gv2ffx72.1
title: The EAT-Lancet Commission’s Planetary Health Diet Compared with the IHME GBD Ecological Data Analysis: data, Excel files, and SAS codes

description: An analysis database of Global Burden of Disease 2017 risk factor and health outcome data (GBD2017) originates from raw data files from the Institute of Health Metrics and Evaluation (IHME) affiliated with the University of Washington. We are volunteer collaborators with IHME and not employed by IHME or the University of Washington. 

The population weighted GBD2017 data are on male and female cohorts ages 15-69 years including noncommunicable diseases (NCDs), body mass index (BMI), cardiovascular disease (CVD), and other health outcomes and associated dietary, metabolic, and other risk factors. 
 The purpose of creating this population-weighted, formatted database is to explore the univariate and multiple regression correlations of health outcomes with risk factors. Our research hypothesis is that we can successfully model NCDs, BMI, CVD, and other health outcomes with their attributable risks.
 
These Global Burden of disease data relate to the paper in Cureus: The EAT-Lancet Commission Planetary Health Diet compared with Institute of Health Metrics and Evaluation Global Burden of Disease Ecological Data Analysis: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325883/
The data include the following:
1. The Excel files that accompanied the above SAS code to produce the tables
2. A text file to import the analysis database into SAS
3. The SAS code to format the analysis database to be used for analytics
4. SAS code for deriving Tables 11-19 of EAT Lancet v GBD data
5. Analysis database (wtedCVDRfsCov2017) of population weighted GBD2017 data that includes over 40 health risk factors, noncommunicable disease deaths/100k/year of male and female cohorts ages 15-69 years from 195 countries (the primary outcome variable that includes over 100 types of noncommunicable diseases) and over 20 individual noncommunicable diseases (e.g., ischemic heart disease, colon cancer, etc).

For questions, please email davidkcundiff@gmail.com. 
Thanks.
DOI: 10.17632/wk66mk9z94.1
title: Oeda buoyancy

description: Location records and morphological data of Oeda species (Hemiptera, Membracidae). Analysis on species buoyancy.
DOI: 10.17632/zwdbk7vjhy.1
title: Market Price Determination: Interpreting Quote Order Imbalance Under Zero-Profit Equilibrium

description: Figure 2, 5 and 6
DOI: 10.6084/m9.figshare.19128794
title: Additional file 2 of Construction and comprehensive analysis of the competing endogenous RNA network in endometrial adenocarcinoma

description: Additional file 2. Down-mRNA. Down regulation of mRNA.
DOI: 10.6084/m9.figshare.19128809
title: Additional file 5 of Construction and comprehensive analysis of the competing endogenous RNA network in endometrial adenocarcinoma

description: Additional file 5. Up-miRNA. Up regulation of miRNA.
DOI: 10.15468/dl.4rbnzg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagurus ovatus",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013313-250827131500795/datasets/export for details.
DOI: 10.15468/dl.d48yys
title: Occurrence Download

description: A dataset containing 1666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagurus ovatus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1666 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013314-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16966492
title: DATASET SAMPEL JAWABAN KRAEPELIN DAN DIGIT TULISAN TANGAN

description: dataset yang digunakan dalam Skripsi berjudul "SISTEM EVALUASI HASIL TES KRAEPELIN MENGGUNAKAN COMPUTER VISION" terdiri dari sampel dokumen lembar jawaban kraepelin dengan format pdf serta gambar tulisan tangan dari digit 0 - 9.
DOI: 10.5281/zenodo.17011928
title: DATASET SAMPEL JAWABAN KRAEPELIN DAN DIGIT TULISAN TANGAN

description: dataset yang digunakan dalam Skripsi berjudul "SISTEM EVALUASI HASIL TES KRAEPELIN MENGGUNAKAN COMPUTER VISION" terdiri dari sampel dokumen lembar jawaban kraepelin dengan format pdf serta gambar tulisan tangan dari digit 0 - 9.
DOI: 10.34740/kaggle/dsv/12921808
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.m9fd2s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagurus ovatus",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013315-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dj47mk
title: Occurrence Download

description: A dataset containing 1060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagurus ovatus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1060 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013316-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2bnrc
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagurus ovatus",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 755 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013317-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgdwh9
title: Occurrence Download

description: A dataset containing 305145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "DatasetKey is EOD – eBird Observation Dataset",
 "StateProvince is Ceará",
 "Year 1000-2024"
 ]
}

 The dataset includes 305145 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013211-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2m9ub
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gobio bulgaricus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 35 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013318-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtmuwv
title: Occurrence Download

description: A dataset containing 71021 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persicaria hydropiper"
 ]
}

 The dataset includes 71021 records from 355 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013228-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhjmm2
title: Occurrence Download

description: A dataset containing 308842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Origanum vulgare",
 "Year 1957-2022"
 ]
}

 The dataset includes 308842 records from 2061 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013272-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkc845
title: Occurrence Download

description: A dataset containing 799546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podiceps grisegena (Boddaert, 1783)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 799546 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106137-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gk2g42
title: Occurrence Download

description: A dataset containing 25967 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ipomoea purpurea (L.) Roth"
 ]
}

 The dataset includes 25967 records from 709 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106142-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phutr7
title: Occurrence Download

description: A dataset containing 30943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-128.75765 50.27714,-126.4342 27.41275,-79.96528 21.06139,-56.34357 39.03722,-60.99047 47.99753,-90.03355 50.02902,-128.75765 50.27714))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eschscholzia californica Cham.",
 "Year 2018-2024"
 ]
}

 The dataset includes 30943 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106143-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxp87d
title: Occurrence Download

description: A dataset containing 577086 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iris pseudacorus L."
 ]
}

 The dataset includes 577086 records from 2464 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106139-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh3616809.08fu
title: SH3616809.08FU

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/sh3616810.08fu
title: SH3616810.08FU

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/sh3616811.08fu
title: SH3616811.08FU

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/sh3616812.08fu
title: SH3616812.08FU

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/sh3616813.08fu
title: SH3616813.08FU

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/sh3616814.08fu
title: SH3616814.08FU

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/sh3616815.08fu
title: SH3616815.08FU

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/sh3616816.08fu
title: SH3616816.08FU

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.