cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.csfu8j
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.658 1.175183, 117.587722 1.169616, 117.519176 1.15305, 117.454049 1.125893, 117.393946 1.088815, 117.340347 1.042729, 117.294571 0.98877, 117.257746 0.928268, 117.230778 0.862711, 117.21433 0.7937149999999999, 117.208807 0.722978, 117.214344 0.652242, 117.230804 0.583248, 117.257782 0.517697, 117.294614 0.4572, 117.340391 0.403248, 117.393988 0.357169, 117.454085 0.320097, 117.519202 0.292945, 117.587736 0.276382, 117.658 0.270816, 117.728264 0.276382, 117.796798 0.292945, 117.861915 0.320097, 117.922012 0.357169, 117.975609 0.403248, 118.021386 0.4572, 118.058218 0.517697, 118.085196 0.583248, 118.101656 0.652242, 118.107193 0.722978, 118.10167 0.7937149999999999, 118.085222 0.862711, 118.058254 0.928268, 118.021429 0.98877, 117.975653 1.042729, 117.922054 1.088815, 117.861951 1.125893, 117.796824 1.15305, 117.728278 1.169616, 117.658 1.175183))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040772-251120083545085/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.30836399
title: An Urban River Environmental Sustainability Assessment (URESA) framework and its application

description: The presented dataset is for applying the Urban River Environmental Sustainability Assessment (URESA) framework into Yeading Brook and the River Crane systems in the Crane catchment, in the Greater London region, to assess and monitor their environmental sustainability performance from 2014 to 2023.
DOI: 10.6084/m9.figshare.30836399.v1
title: An Urban River Environmental Sustainability Assessment (URESA) framework and its application

description: The presented dataset is for applying the Urban River Environmental Sustainability Assessment (URESA) framework into Yeading Brook and the River Crane systems in the Crane catchment, in the Greater London region, to assess and monitor their environmental sustainability performance from 2014 to 2023.
DOI: 10.15468/dl.ju2g2a
title: Occurrence Download

description: A dataset containing 52846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum assumed WGS84, Continent derived from coordinates, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis familiaris"
 ]
}

 The dataset includes 52846 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040699-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3e8r6
title: Occurrence Download

description: A dataset containing 47629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Country is one of (France, Netherlands, Germany, Belgium)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombina variegata"
 ]
}

 The dataset includes 47629 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040774-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggpt8u
title: Occurrence Download

description: A dataset containing 4714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypoestes forskaolii",
 "Continent is Africa"
 ]
}

 The dataset includes 4714 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040775-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17424144
title: Rapid-Onset Botanical Anti-Aging Formulations — AI-Verified Skincare Innovation

description: Herbal Magic is a 100% botanical anti-aging innovation designed to deliver visible improvements in skin texture, radiance, and firmness within 20 minutes.

Using AI-assisted before/after image analysis, measurable results are verified, ensuring scientific accuracy and proof-based performance.

 

AI-Verified Results:

 

Face & Neck

 



Wrinkle reduction: 89%

Radiance & smoothness: 92%

No irritation or sensitivity: 100%


 

 

Hands & Body

 



Surface wrinkle reduction: 40–50%

Hydration & softness: 60–70%

Radiance & clarity: 50–60%

Even tone & fewer visible spots: 30–40%

Firming & lifting: 30–40%

No irritation or sensitivity: 100%


 

 

This plant-based formula is proprietary and free from synthetic chemicals.

Developed by Maria Alireza, Independent Researcher in plant-based skincare solutions.

 

References & Links:

 



Blogspot: https://mariherbalmajic.blogspot.com

Academia: https://www.academia.edu

ORCID: https://orcid.org/0009-0000-6153-6392

Linktree: https://linktr.ee/mariaalireza

Innoget: https://www.innoget.com/users/221526-maria-alireza

Email: marialirezaa@gmail.com


 

 

© 2025 Maria Alireza — All rights reserved.
DOI: 10.15468/dl.bn8zpk
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pectinodrilus rectisetosus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 91 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040776-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17185/duepublico/74901
title: Experimental Data of Supercritical Carbon Dioxide (sCO2) Compressor at Various Fluid States - Supplementary Data

description: This repository contains additional data for the publication "Experimental Data of Supercritical Carbon Dioxide (sCO2) Compressor at Various Fluid States". The data repository contains the entire compressor geometry, including CAD models, and input files suitable for mean-line and grid generation programs. Thus, the experimental results presented and discussed in the paper are exploitable by the scientific community and pave the road for validated analysis and design tools in the context of the sCO2-Joule cycle.
DOI: 10.15468/dl.4hezpt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.579 1.178183, 100.508722 1.172616, 100.440176 1.156049, 100.375049 1.128893, 100.314946 1.091815, 100.261347 1.045729, 100.215571 0.99177, 100.178746 0.931268, 100.151778 0.865711, 100.13533 0.796715, 100.129807 0.725978, 100.135344 0.655242, 100.151804 0.586248, 100.178782 0.520697, 100.215613 0.4602, 100.261391 0.406248, 100.314988 0.360169, 100.375085 0.323097, 100.440202 0.295945, 100.508736 0.279382, 100.579 0.273816, 100.649264 0.279382, 100.717798 0.295945, 100.782915 0.323097, 100.843012 0.360169, 100.896609 0.406248, 100.942387 0.4602, 100.979218 0.520697, 101.006196 0.586248, 101.022656 0.655242, 101.028193 0.725978, 101.02267 0.796715, 101.006222 0.865711, 100.979254 0.931268, 100.942429 0.99177, 100.896653 1.045729, 100.843054 1.091815, 100.782951 1.128893, 100.717824 1.156049, 100.649278 1.172616, 100.579 1.178183))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040777-251120083545085/datasets/export for details.
DOI: 10.34740/kaggle/dsv/14074536
title: Typescript Dataset
DOI: 10.15468/dl.ewkbdy
title: Occurrence Download

description: A dataset listing the 108 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.16604 48.9092,2.23499 48.9092,2.23499 48.94387,2.16604 48.94387,2.16604 48.9092))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 108 records were derived from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040755-251120083545085/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.30627269
title: 姜黄素对肉鸡在热应激下抗氧化活性的影响

description: 图 1：描述热应激下和补充姜黄素后热休克蛋白的表达水平图 2：显示了热胁迫条件下和补充姜黄素后 Keap1-Nrf2 相关基因的表达水平图3：代表本研究中热应激下肉鸡基因表达测量的热图基因1：代表热胁迫环境下肉鸡空肠热休克蛋白的原始数据，并补充姜黄素基因2：代表研究期间肉鸡空肠中Keap1-Nrf2相关基因表达水平的原始数据
DOI: 10.6084/m9.figshare.30627269.v1
title: 姜黄素对肉鸡在热应激下抗氧化活性的影响

description: 图 1：描述热应激下和补充姜黄素后热休克蛋白的表达水平图 2：显示了热胁迫条件下和补充姜黄素后 Keap1-Nrf2 相关基因的表达水平图3：代表本研究中热应激下肉鸡基因表达测量的热图基因1：代表热胁迫环境下肉鸡空肠热休克蛋白的原始数据，并补充姜黄素基因2：代表研究期间肉鸡空肠中Keap1-Nrf2相关基因表达水平的原始数据
DOI: 10.15468/dl.82gra4
title: Occurrence Download

description: A dataset containing 31436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Artportalen",
 "TaxonKey is Rubus",
 "Year 2020-2025"
 ]
}

 The dataset includes 31436 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040780-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7ecy7
title: Occurrence Download

description: A dataset listing the 442 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.16604 48.9092,2.23499 48.9092,2.23499 48.94387,2.16604 48.94387,2.16604 48.9092))",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset's 442 records were derived from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040761-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n779kk
title: Occurrence Download

description: A dataset containing 714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icacina oliviformis",
 "Continent is Africa"
 ]
}

 The dataset includes 714 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040782-251120083545085/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.30833996
title: Dataset - 18S rRNA gene amplicon sequencing & Nematode counts

description: The "VBS2025_18S_dataset.xlsx" was generated by the raw sequence data publicly available on NCBI under the BioProject accession number PRJNA777006.The file contain six different excel sheets:Samples: metadata (columns) associated with the collected patch samples (rows)Libraries: sample identifier (column "JMF_library_ID") given to each collected patch sample ("JMF_sample_ID") based on their sequencing library.Read_abundances: amount of reads (column "Count") that were identified from each ASV (column "Sequence_ID") in each sequenced patch sample (column "Library_ID")Taxonomy: taxonomic classification of ASVs (rows) from Kingdom to Species level (columns).Nematode_counts: nematode quantification by morphological characteristicsRhabditida_similarity: sequence similarity matrix of "Rhabditida unclassified" ASVs.
DOI: 10.6084/m9.figshare.30833996.v1
title: Dataset - 18S rRNA gene amplicon sequencing & Nematode counts

description: The "VBS2025_18S_dataset.xlsx" was generated by the raw sequence data publicly available on NCBI under the BioProject accession number PRJNA777006.The file contain six different excel sheets:Samples: metadata (columns) associated with the collected patch samples (rows)Libraries: sample identifier (column "JMF_library_ID") given to each collected patch sample ("JMF_sample_ID") based on their sequencing library.Read_abundances: amount of reads (column "Count") that were identified from each ASV (column "Sequence_ID") in each sequenced patch sample (column "Library_ID")Taxonomy: taxonomic classification of ASVs (rows) from Kingdom to Species level (columns).Nematode_counts: nematode quantification by morphological characteristicsRhabditida_similarity: sequence similarity matrix of "Rhabditida unclassified" ASVs.
DOI: 10.3886/icpsr38515.v2
title: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2019
title: Version 2

description: The data contain records of charges filed against defendants whose cases were filed by United States attorneys in United States district court during fiscal year 2019. The data are charge-level records, and more than one charge may be filed against a single defendant. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central Charge file. The charge-level data may be linked to defendant-level data (extracted from the EOUSA Central System file) through the CS_SEQ variable, and it should be noted that some defendants may not have any charges other than the lead charge appearing on the defendant-level record. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: 
DS1: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2019
description: Charges filed against defendants in United States district court during fiscal year 2019.
DOI: 10.15468/dl.k9gy5d
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phallodrilus parthenopaeus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040783-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr38515
title: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2019
title: Archival Version

description: The data contain records of charges filed against defendants whose cases were filed by United States attorneys in United States district court during fiscal year 2019. The data are charge-level records, and more than one charge may be filed against a single defendant. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central Charge file. The charge-level data may be linked to defendant-level data (extracted from the EOUSA Central System file) through the CS_SEQ variable, and it should be noted that some defendants may not have any charges other than the lead charge appearing on the defendant-level record. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: 
DS1: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2019
description: Charges filed against defendants in United States district court during fiscal year 2019.
DOI: 10.15468/dl.b84h66
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.463 1.182183, 110.392722 1.176616, 110.324176 1.160049, 110.259049 1.132893, 110.198946 1.095815, 110.145346 1.049729, 110.099571 0.99577, 110.062745 0.935268, 110.035777 0.869711, 110.019329 0.800714, 110.013806 0.729977, 110.019343 0.659242, 110.035804 0.590248, 110.062782 0.5246960000000001, 110.099613 0.4642, 110.145391 0.410248, 110.198988 0.364169, 110.259085 0.327097, 110.324202 0.299945, 110.392736 0.283382, 110.463 0.277816, 110.533264 0.283382, 110.601798 0.299945, 110.666915 0.327097, 110.727012 0.364169, 110.780609 0.410248, 110.826387 0.4642, 110.863218 0.5246960000000001, 110.890196 0.590248, 110.906657 0.659242, 110.912194 0.729977, 110.906671 0.800714, 110.890223 0.869711, 110.863255 0.935268, 110.826429 0.99577, 110.780654 1.049729, 110.727054 1.095815, 110.666951 1.132893, 110.601824 1.160049, 110.533278 1.176616, 110.463 1.182183))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040784-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.30836498.v1
title: The Dynamics of Sustainable Supply Chains: An Evolutionary Game of Leadership, AI Ethics, and Workforce Empowerment

description: The uploaded code is from the article "The Dynamics of Sustainable Supply Chains: An Evolutionary Game of Leadership, AI Ethics, and Workforce Empowerment."
DOI: 10.5286/isis.e.rb2510700-1
title: Tensegrity-Guided Assembly of Novel Protein Biomaterials

description: Tension integrity, also known as tensegrity, describes a system where discontinuous compressed components are connected through a tensioned web. Several examples of tensegrity models exist in Nature and beyond natural systems, the concept of tensegrity has been applied to engineered nanostructures through to architectural structures. However, a challenge is to develop more complex hierarchical tensegrity models of soft matter and biological systems, and to couple them to equally quantitative descriptions of molecular self-assembly that can incorporate shape, orientation and pattern. In this new proposal we aim to investigate tensegrity within an engineered matrix, folded protein hydrogels which are 3D self-assembled, self-supporting networks of cross-linked hydrophilic protein building blocks swollen by large volumes of water. We propose time resolved SANS on the instrument ZOOM to investigate the structural evolution of folded protein hydrogels during their relaxation phase post-photochemical crosslinking. Time-resolved kinetic SANS experiments will monitor how the hydrogel architecture and the protein building blocks are altered during relaxation. The combination of SANS data and modelling could provide new opportunities for the tensegrity-guided assembly of biomaterials for application in medicine and healthcare, including our efforts to created responsive and targeted gel networks for drug delivery.
DOI: 10.5286/isis.e.rb2510700
title: Tensegrity-Guided Assembly of Novel Protein Biomaterials

description: Tension integrity, also known as tensegrity, describes a system where discontinuous compressed components are connected through a tensioned web. Several examples of tensegrity models exist in Nature and beyond natural systems, the concept of tensegrity has been applied to engineered nanostructures through to architectural structures. However, a challenge is to develop more complex hierarchical tensegrity models of soft matter and biological systems, and to couple them to equally quantitative descriptions of molecular self-assembly that can incorporate shape, orientation and pattern. In this new proposal we aim to investigate tensegrity within an engineered matrix, folded protein hydrogels which are 3D self-assembled, self-supporting networks of cross-linked hydrophilic protein building blocks swollen by large volumes of water. We propose time resolved SANS on the instrument ZOOM to investigate the structural evolution of folded protein hydrogels during their relaxation phase post-photochemical crosslinking. Time-resolved kinetic SANS experiments will monitor how the hydrogel architecture and the protein building blocks are altered during relaxation. The combination of SANS data and modelling could provide new opportunities for the tensegrity-guided assembly of biomaterials for application in medicine and healthcare, including our efforts to created responsive and targeted gel networks for drug delivery.
DOI: 10.15468/dl.qyvq8n
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Indigastrum costatum",
 "Continent is Africa"
 ]
}

 The dataset includes 597 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040785-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60593/ur.d.30689126
title: PLOS GPH DATA 2015-2025

description: Database for all meningitis patients at LRRH from 2015-January 2025
DOI: 10.60593/ur.d.30689126.v2
title: PLOS GPH DATA 2015-2025

description: Database for all meningitis patients at LRRH from 2015-January 2025
DOI: 10.60593/ur.d.30689126.v1
title: PLOS GPH DATA 2015-2025

description: Database for all meningitis patients at LRRH from 2015-January 2025