cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r5nene
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((51.97383 11.94575,54.54083 11.94575,54.54083 12.78679,51.97383 12.78679,51.97383 11.94575))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Azuragrion granti (McLachlan, 1903)",
 "Year 2010-2019"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002834-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11843543
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15447889
title: US Bulk Food Ingredients Market 2025 To 2034

description: US Bulk Food Ingredients Market Size, Trends and Insights By Category (Primary Processed, Grains, Pulses & Cereals, Tea, Coffee & Cocoa, Herbs & Spices, Oilseeds, Sugar & Salt, Others, Secondary Processed, Processed Grains, Pulses & Cereals, Processed Herbs & Spices, Dry Fruits & Nuts, Sugar & Sweeteners, Others), By Application (Bakery & Confectionery, Snacks & Spreads, Ready Meals, Beverages, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the US Bulk Food Ingredients Market analysis conducted by the CMI Team, the US bulk food ingredients market is expected to record a CAGR of 4.77% from 2025 to 2034. In 2025, the market size was USD 295.41 Billion. By 2034, the valuation is anticipated to reach USD 450.65 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=69920
DOI: 10.5281/zenodo.15447890
title: US Bulk Food Ingredients Market 2025 To 2034

description: US Bulk Food Ingredients Market Size, Trends and Insights By Category (Primary Processed, Grains, Pulses & Cereals, Tea, Coffee & Cocoa, Herbs & Spices, Oilseeds, Sugar & Salt, Others, Secondary Processed, Processed Grains, Pulses & Cereals, Processed Herbs & Spices, Dry Fruits & Nuts, Sugar & Sweeteners, Others), By Application (Bakery & Confectionery, Snacks & Spreads, Ready Meals, Beverages, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the US Bulk Food Ingredients Market analysis conducted by the CMI Team, the US bulk food ingredients market is expected to record a CAGR of 4.77% from 2025 to 2034. In 2025, the market size was USD 295.41 Billion. By 2034, the valuation is anticipated to reach USD 450.65 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=69920
DOI: 10.15468/dl.s8nmku
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((51.97383 11.94575,54.54083 11.94575,54.54083 12.78679,51.97383 12.78679,51.97383 11.94575))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Azuragrion granti (McLachlan, 1903)",
 "Year 1000-2025"
 ]
}

 The dataset includes 94 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002836-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxe8r9
title: Occurrence Download

description: A dataset containing 371113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Flammulina velutipes var. velutipes, Gloeohypochnicium analogum (Bourdot & Galzin) Hjortstam, Gymnopilus junonius (Fr.) P.D.Orton, Hericium cirrhatum (Pers.) Nikol., Hyphodermella corrugata (Fr.) J.Erikss. & Ryvarden, Byssomerulius corium (Pers.) Parmasto, Kuehneromyces mutabilis (Schaeff.) Singer & A.H.Sm., Hydropus scabripes (Murrill) Singer, Inonotus cuticularis (Bull.) P.Karst., Marasmius alliaceus (Jacq.) Fr., Leucoagaricus serenus (Fr.) Bon & Boiffard, Megalocystidium luridum (Bres.) Jülich, Macrotyphula juncea (Alb. & Schwein.) Berthier, Marasmius epiphyllus (Pers.) Fr., Marasmiellus candidus (Fr.) Singer, Marasmius torquescens Quél., Mycoacia aurea (Fr.) J.Erikss. & Ryvarden, Mycena rosea Gramberg, Mycena pseudocorticola Kühner, Mycoaciella bispora (Stalpers) J.Erikss. & Ryvarden, Mycoacia uda (Fr.) Donk, Panus conchatus (Bull.) Fr., Phlebia rufa (Pers.) M.P.Christ., Pluteus phlebophorus (Ditmar) P.Kumm., Pluteus hispidulus (Fr.) Gillet, Pleurotus dryinus (Pers.) P.Kumm., Peniophora nuda (Fr.) Bres., Pluteus chrysophaeus (Schaeff.) Quél., Postia ceriflua (Berk. & M.A.Curtis) Jülich, Postia subcaesia (A.David) Jülich, Postia balsamea (Peck) Jülich, Resupinatus applicatus (Batsch) Gray, Resupinatus trichotis (Pers.) Singer, Steccherinum ochraceum (Pers. ex J.F.Gmel.) Gray, Stereum subtomentosum Pouzar, Skeletocutis nivea (Jungh.) Jean Keller, Steccherinum fimbriatum (Pers.) J.Erikss., Simocybe haustellaris (Fr.) Watling, Stypella dubia (Bourdot & Galzin) P.Roberts, Peniophora cinerea (Pers.) Cooke, Phanerochaete sordida (P.Karst.) J.Erikss. & Ryvarden, Trametes ochracea (Pers.) Gilb. & Ryvarden, Tubulicium vermiferum (Bourdot) Oberw. ex Jülich, Typhula crassipes Fuckel, Typhula phacorrhiza (Reichard) Fr., Typhula setipes (Grev.) Berthier, Typhula erythropus (Pers.) Fr., Volvariella caesiotincta P.D.Orton, Fomes fomentarius (L.) Fr., Volvariella bombycina (Schaeff.) Singer)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 371113 records from 706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002824-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg56gh
title: Occurrence Download

description: A dataset containing 16597907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caryophyllales)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 16597907 records from 5893 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002822-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83k6jg
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecile hudsonicus (J.R.Forster, 1772)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to September",
 "EventDate is not null",
 "Country is United States of America",
 "Geometry POLYGON((-63 22, -63 51, -126 51, -126 22, -63 22))"
 ]
}

 The dataset includes 230 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010953-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p86gh5
title: Occurrence Download

description: A dataset containing 141590 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Rutgers University, Chrysler Herbarium"
 ]
}

 The dataset includes 141590 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002080-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6n6wum
title: Occurrence Download

description: A dataset containing 207489 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puccinellia Parl."
 ]
}

 The dataset includes 207489 records from 999 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002075-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/5dd-blz-z2b
title: Trisopterus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bnp-t9k-00s
title: Gadiculus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5e1-yzt-34l
title: Laticarinina pauperata (Parker & Jones, 1865)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6r3-mmb-ss1
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hbf-ee1-h3d
title: †Gaudryina navarroana Cushman, 1932

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5jx-wb1-l7m
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y8k-hrc-55r
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fas-zl3-kww
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h62-e39-k7y
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1ka-bqf-dxj
title: †Lamarckina bienfaiti Visser, 1951

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sj0-qmn-crw
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/40w-4yk-kla
title: †Heterocoenia Milne Edwards & Haime, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fc2-kw0-j90
title: Cucullaea Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hjw-2dp-a2v
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t3m-mvx-l2t
title: Merluccius

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n79-hyk-gxh
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2wh-fpt-2pr
title: Anthozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tmd-4hq-dtv
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/md3-p7q-gpg
title: †Circophyllia truncata (Goldfuss, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/67n-96y-315
title: Anthozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c3z-aa5-rlc
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9sc-me2-nmx
title: †Favorites Tschigova, 1977

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dax-l1b-y7h
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.su2wfq
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nomia fedorensis",
 "Year 1000-2025"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023545-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/agg-qfm-ne1
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2wh-4cp-lte
title: †Tarbellastraea reussiana (Milne Edwards & Haime, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wnx-prc-c1b
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cxw-mll-jk7
title: Scleractinia Bourne, 1900

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zqh-0h5-tx1
title: †Spirifer Sowerby, 1818

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xjj-r5f-7dg
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/117-f3j-2gx
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wlk-nbv-71z
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jbd-23s-kyv
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x7n-yt2-bs9
title: †Favorites Tschigova, 1977

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/176-ett-lhz
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/94b-7s3-r5w
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8w0-ql2-7f6
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9a5-j86-b9h
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x7b-bcr-l9n
title: Squamata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z19-kre-5z5
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.a96cq4
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acacia tortilis (Forssk.) Hayne, Vachellia tortilis (Forssk.) Galasso & Banfi)"
 ]
}

 The dataset includes 108 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030399-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skgqkz
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acacia reficiens Wawra, Vachellia reficiens (Wawra) Kyal. & Boatwr.)"
 ]
}

 The dataset includes 42 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030401-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15408487
title: Supplementary data
DOI: 10.5281/zenodo.15408488
title: Supplementary data
DOI: 10.5281/zenodo.15405255
title: Dataset of a collaborative ring trial for the detection of cow, sheep and goat milk in dairy samples by real-time PCR targeting mitochondrial DNA

description: A collaborative ring trial using 12 authentic dairy samples was conducted to validate four real-time PCR methods targeting mitochondrial DNA from cattle (Rentsch et al. 2013), sheep, goat and total mammalian DNA in dairy samples. Milk for direct consumption, yoghurt, Picodon type cheese and Feta type cheese samples were produced in a research dairy from sheep and goat milk with 1 - 33.3 % admixtures of cow milk. Further samples were taken from different production stages resulting in a total of 50 samples that were additionally analysed by a single laboratory. The research data include the real-time PCR results measured as cycles of quantification (Cq-) values of DNA standards and samples of the collaborative ring trial and the single laboratory analysis.
DOI: 10.5281/zenodo.15405256
title: Dataset of a collaborative ring trial for the detection of cow, sheep and goat milk in dairy samples by real-time PCR targeting mitochondrial DNA

description: A collaborative ring trial using 12 authentic dairy samples was conducted to validate four real-time PCR methods targeting mitochondrial DNA from cattle (Rentsch et al. 2013), sheep, goat and total mammalian DNA in dairy samples. Milk for direct consumption, yoghurt, Picodon type cheese and Feta type cheese samples were produced in a research dairy from sheep and goat milk with 1 - 33.3 % admixtures of cow milk. Further samples were taken from different production stages resulting in a total of 50 samples that were additionally analysed by a single laboratory. The research data include the real-time PCR results measured as cycles of quantification (Cq-) values of DNA standards and samples of the collaborative ring trial and the single laboratory analysis.
DOI: 10.15468/dl.hv48fa
title: Occurrence Download

description: A dataset containing 1049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fritillaria meleagroides Patrin ex Schult. & Schult.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 1049 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030405-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wee5f3
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fritillaria pallidiflora Schrenk ex Fisch. & C.A.Mey.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030406-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42ka2c
title: Occurrence Download

description: A dataset containing 1644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arctium L."
 ]
}

 The dataset includes 1644 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030404-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15303191
title: ML-Driven Localization of Infection Sources in the Human Cardiovascular System

description: Short Description of the Paper

In vivo localization of infection sources is essential for effective diagnosis and targeted disease treatment. In this work, we leverage machine learning models to associate the temporal dynamics of biomarkers as detected at static gateway positions with different infection source locations. In particular, we introduce a simulation that models infection sources, the release of biomarkers, and their decay as they flow through the bloodstream. From this, we extract time-series biomarker data with varying decay rates to capture temporal patterns from different infection sources at specific gateway positions. We then train a stacked ensemble model using LightGBM and BernoulliNB to analyze biomarker time-series data for classification.

Data and Code

We publish our simulation data and the Python code to process it as described in the paper here on Zenodo and in a GitHub repository under the CC BY and MIT licenses, respectively.

Supplementary_Data.pdf provides an overview of biomarker distributions from different infection sources and classification results for the 70/30 split, complementing the 80/20 results in the main manuscript.

Contact

If you have any questions or suggestions for improvements, feel free to contact me.



Saswati Pal



 Email: pal@ccs-labs.org
DOI: 10.5281/zenodo.15303190
title: ML-Driven Localization of Infection Sources in the Human Cardiovascular System

description: Short Description of the Paper

In vivo localization of infection sources is essential for effective diagnosis and targeted disease treatment. In this work, we leverage machine learning models to associate the temporal dynamics of biomarkers as detected at static gateway positions with different infection source locations. In particular, we introduce a simulation that models infection sources, the release of biomarkers, and their decay as they flow through the bloodstream. From this, we extract time-series biomarker data with varying decay rates to capture temporal patterns from different infection sources at specific gateway positions. We then train a stacked ensemble model using LightGBM and BernoulliNB to analyze biomarker time-series data for classification.

Data and Code

We publish our simulation data and the Python code to process it as described in the paper here on Zenodo and in a GitHub repository under the CC BY and MIT licenses, respectively.

Supplementary_Data.pdf provides an overview of biomarker distributions from different infection sources and classification results for the 70/30 split, complementing the 80/20 results in the main manuscript.

Contact

If you have any questions or suggestions for improvements, feel free to contact me.



Saswati Pal



 Email: pal@ccs-labs.org