cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4jnsmv
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thyrsostachys siamensis Gamble)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024089-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15074023
title: Global Arabinogalactan Market 2025 To 2034

description: Arabinogalactan Market Size, Trends and Insights By Type (Western Larch Source, Mongolian Larch Source), By Application (Food & Dietary Supplement, Pharmaceutical, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the current market research conducted by the CMI Team, the Global Arabinogalactan Market is expected to record a CAGR of 4.5% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 209 Million. By 2034, the valuation is anticipated to reach USD 312 Million.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68037
DOI: 10.5281/zenodo.15074024
title: Global Arabinogalactan Market 2025 To 2034

description: Arabinogalactan Market Size, Trends and Insights By Type (Western Larch Source, Mongolian Larch Source), By Application (Food & Dietary Supplement, Pharmaceutical, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the current market research conducted by the CMI Team, the Global Arabinogalactan Market is expected to record a CAGR of 4.5% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 209 Million. By 2034, the valuation is anticipated to reach USD 312 Million.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68037
DOI: 10.15468/dl.49d96d
title: Occurrence Download

description: A dataset containing 6165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Toona ciliata M.Roem.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6165 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024090-250310093411724/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/11143810
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.15073997
title: Global Indoor Plant Market 2025 To 2034

description: Indoor Plant Market Size, Trends and Insights By Type (Shade-Loving Plants, Low Light Plants, High Light Plants), By Product Type (Succulent Plants, Herbaceous Plants, Woody Plants, Others), By Application (Absorption of Harmful Gasses, Home Decoration), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the Indoor Plant market analysis conducted by the CMI Team, the Global Indoor Plant Market is expected to record a CAGR of 4.85% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 21.40 Billion. By 2034, the valuation is anticipated to reach USD 32.78 Billion.

Indoor Plant Market Overview

The indoor plant market is growing at a significant rate as there has been a surge in the urban population who are looking to integrate nature into the living spaces. They will generate a huge market as consumers are attracted towards the here and now beauty and air-purifying features plants possess-from extremely low-maintenance succulents to the most exotic and tropical.

As a result, innovations in technologies such as self-watering systems and smart sensors have been studied while digitally accessible and engaging plant care has been showcased through digital platforms. A market has become further trademarked in efforts towards sustainability while increasingly demanding trending practices and ethically sourced products.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68055
DOI: 10.5281/zenodo.15073998
title: Global Indoor Plant Market 2025 To 2034

description: Indoor Plant Market Size, Trends and Insights By Type (Shade-Loving Plants, Low Light Plants, High Light Plants), By Product Type (Succulent Plants, Herbaceous Plants, Woody Plants, Others), By Application (Absorption of Harmful Gasses, Home Decoration), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the Indoor Plant market analysis conducted by the CMI Team, the Global Indoor Plant Market is expected to record a CAGR of 4.85% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 21.40 Billion. By 2034, the valuation is anticipated to reach USD 32.78 Billion.

Indoor Plant Market Overview

The indoor plant market is growing at a significant rate as there has been a surge in the urban population who are looking to integrate nature into the living spaces. They will generate a huge market as consumers are attracted towards the here and now beauty and air-purifying features plants possess-from extremely low-maintenance succulents to the most exotic and tropical.

As a result, innovations in technologies such as self-watering systems and smart sensors have been studied while digitally accessible and engaging plant care has been showcased through digital platforms. A market has become further trademarked in efforts towards sustainability while increasingly demanding trending practices and ethically sourced products.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68055
DOI: 10.15468/dl.xpf9wn
title: Occurrence Download

description: A dataset containing 7364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aphelocoma ultramarina (Bonaparte, 1825)"
 ]
}

 The dataset includes 7364 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024091-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3bnnc
title: Occurrence Download

description: A dataset containing 2407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Vireo masteri P.G.W.Salaman & F.G.Stiles, 1996"
 ]
}

 The dataset includes 2407 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024092-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9y79va
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Afzelia xylocarpa (Kurz) Craib)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 159 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024094-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsbre8
title: Occurrence Download

description: A dataset containing 19667399 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agaricomycetes"
 ]
}

 The dataset includes 19667399 records from 2524 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024046-250310093411724/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.7664651
title: Data for Perception of Ebbinghaus-Titchener Stimuli in Starlings (Sturnus vulgaris)

description: Whether animals experience visual illusions is a fertile line of study for examining the evolution and operation of visual cognition across different species. Here, five starlings were tested to examine how they experienced the Ebbinghaus-Titchener illusion. Across two experiments using an absolute target circle size discrimination, the size, similarity, distance, and number of the surrounding flankers were manipulated. The results from the data contained here suggest this passerine species exhibits behavior inconsistent with the perception of an illusion, neither in a human-like fashion nor, as indicated by the first experiment, a reversed illusion. Instead, the typical training used to investigate this illusion caused the starlings to learn to integrate the irrelevant flankers into their decision process in a manner that precludes the study of any illusory perception. The resulting discriminative behavior might best be described using a template-matching account. While illusion perception by animals remains an important comparative question, it requires additional validation to confirm the exact mechanisms of any illusory reports. <br>
DOI: 10.5281/zenodo.13365105
title: Production data at HS6 level from Solleder, Silvy, and Olarreaga (2024)

description: Description

This dataset contains the data from the paper "Protection for sale without aggregation bias" (Solleder, Silvy, and Olarreaga, 2024).

Production data indicated by "Estimates" in the source field of the dataset were estimated using the Regression-Enhanced Random Forest (RERF) algorithm developed by Zhang et al. (2017). It allows us to predict production data trained and tested on the Prodcom dataset, containing mainly European countries, for which production data is available at a high level of disaggregation with a correspondence to the HS six-digit classification. For more information on the procedure, please take a look at Solleder, Silvy, and Olarreaga (2024).

Production data indicated by "FAO" in the source field of the dataset is sourced from FAO and has been converted by the authors to 6-digit HS codes.

The dta file has been created with STATA 17. The csv file is a comma-separated value file. The separator is ',', and the first row is variable names. The content is the same in both files. Variables are:



country: ISO 3166 3-character country codes, string; 

year: years (1999-2015), numeric;

commoditycode: product  6-digit HS codes in HS revision 1992 (H0), numeric;

production: production in country - year in 1000 USD, numeric;

source: "Estimates" / "FAO" (see above) 


References

Solleder, J, F Silvy and M Olarreaga, 2024. Protection for sale without aggregation bias, CEPR Discussion Paper No. 19418. CEPR Press, Paris & London. https://cepr.org/publications/dp19418

Zhang, Haozhe, Dan Nettleton and Zhengyuan Zhu, 2017. Regression-Enhanced Random Forests. JSM Proceedings, Section on Statistical Learning and Data Science, Alexandria, 636-647. https://doi.org/10.48550/arXiv.1904.10416
DOI: 10.5281/zenodo.17465766
title: Production data at HS6 level from Solleder, Silvy, and Olarreaga (2024)

description: Description

This dataset contains the data from the paper "Protection for sale without aggregation bias" (Solleder, Silvy, and Olarreaga, 2024).

Production data indicated by "Estimates" in the source field of the dataset were estimated using the Regression-Enhanced Random Forest (RERF) algorithm developed by Zhang et al. (2017). It allows us to predict production data trained and tested on the Prodcom dataset, containing mainly European countries, for which production data is available at a high level of disaggregation with a correspondence to the HS six-digit classification. For more information on the procedure, please take a look at Solleder, Silvy, and Olarreaga (2024).

Production data indicated by "FAO" in the source field of the dataset is sourced from FAO and has been converted by the authors to 6-digit HS codes.

The dta file has been created with STATA 17. The csv file is a comma-separated value file. The separator is ',', and the first row is variable names. The content is the same in both files. Variables are:



country: ISO 3166 3-character country codes, string; 

year: years (1999-2015), numeric;

commoditycode: product  6-digit HS codes in HS revision 1992 (H0), numeric;

production: production in country - year in 1000 USD, numeric;

source: "Estimates" / "FAO" (see above) 


References

Solleder, J, F Silvy and M Olarreaga, 2024. Protection for sale without aggregation bias, CEPR Discussion Paper No. 19418. CEPR Press, Paris & London. https://cepr.org/publications/dp19418

Zhang, Haozhe, Dan Nettleton and Zhengyuan Zhu, 2017. Regression-Enhanced Random Forests. JSM Proceedings, Section on Statistical Learning and Data Science, Alexandria, 636-647. https://doi.org/10.48550/arXiv.1904.10416
DOI: 10.6084/m9.figshare.7664651.v1
title: Data for Perception of Ebbinghaus-Titchener Stimuli in Starlings (Sturnus vulgaris)

description: Whether animals experience visual illusions is a fertile line of study for examining the evolution and operation of visual cognition across different species. Here, five starlings were tested to examine how they experienced the Ebbinghaus-Titchener illusion. Across two experiments using an absolute target circle size discrimination, the size, similarity, distance, and number of the surrounding flankers were manipulated. The results from the data contained here suggest this passerine species exhibits behavior inconsistent with the perception of an illusion, neither in a human-like fashion nor, as indicated by the first experiment, a reversed illusion. Instead, the typical training used to investigate this illusion caused the starlings to learn to integrate the irrelevant flankers into their decision process in a manner that precludes the study of any illusory perception. The resulting discriminative behavior might best be described using a template-matching account. While illusion perception by animals remains an important comparative question, it requires additional validation to confirm the exact mechanisms of any illusory reports. <br>
DOI: 10.15468/dl.g5qz7g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena schulzi",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004832-251025141854904/datasets/export for details.
DOI: 10.6084/m9.figshare.28715615
title: ncRNA.zip

description: <b>ncRNA (non-coding RNA) </b><b>predicted by</b><b> CPC2 (v 0.1) and PINC for 25 </b><b>grassland plant species.</b><b>Species list:</b>Species_code Species_nameGerPra Geranium pratenseLeuVul Leucanthemum vulgare agg.TriFla Trisetum flavescensLotCor Lotus corniculatusCreBie Crepis biennisBelPer Bellis perennisDauCar Daucus carotaPruVul Prunella vulgarisTriPra Trifolium pratensePriVer Primula verisHolLan Holcus lanatusAloPra Alopecurus pratensisGalMol Galium mollugo agg.KnaArv Knautia arvensisMedVar Medicago x variaPlaLan Plantago lanceolataLuzCam Luzula campestrisVerCha Veronica chamaedrysArrEla Arrhenatherum elatiusTriDub Trifolium dubiumLatPra Lathyrus pratensisVicCra Vicia craccaRanAcr Ranunculus acrisPlaMed Plantago mediaAjuRep Ajuga reptans<br><b>Analyse pseudo code:</b>## CPC2for i in {01..25}; do# the number corresponding to a particular speciespython path/to/CPC2_standalone-1.0.1/bin/CPC2.py -i path/to/isoSeqData/BMK230426-BJ202-01P00$i.flnc.clustered.isoforms.fa -o BMK230426-BJ202-01P00$idone<br>## PINC was executed using a Docker imagepython pinc.py -f path/to/isoSeqData/BMK230426-BJ202-01P00$i.flnc.clustered.isoforms.fa
DOI: 10.15468/dl.uk5kvg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coraciiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 -90,180 -90,180 -60,150 -60,150 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061291-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30305872.v1
title: Supplementary raw data

description: File SupplementaryData1 contains raw data consisting of numbers counted of protein coated latex beads interacting with human endothelial and epithelial cells. Corresponding to: Figure 4: <b>rIdeC-coated beads interact with endothelial and epithelial cells in an RGD dependent manner.</b>File SupplementaryData2 contains raw data consisting of numbers counted of protein coated latex beads interacting with MEF cells. Corresponding to Figure 5:<b> Expression of integrin </b><b>𝜶</b><b>V</b><b>𝛽</b><b>3 facilitates increased interaction of rIdeC-coated beads with MEF cells.</b>File SupplementaryData3 contains raw data consisting of bacterial cell counts of WT and mutant bacteria interacting with human epithelial cells. Corresponding to Figure 6: <b>Function of IdeC in bacterial adhesion and invasion to A549 cells.</b>
DOI: 10.15156/bio/sh1147256.10fu
title: SH1147256.10FU

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/sh1147257.10fu
title: SH1147257.10FU

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/sh1147258.10fu
title: SH1147258.10FU

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/sh1147261.10fu
title: SH1147261.10FU

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/sh1147262.10fu
title: SH1147262.10FU

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.