cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29141651
title: Cai_Fig.3.xlsx

description: Dietary interventions to combat non-communicable diseases focus on optimising food intake but overlook the influence of food structure. Here, we investigate how food structure influences digestion. In a randomised crossover study, ten healthy participants were fitted with nasoenteric tubes that allow simultaneous gastric and duodenal sampling, before consuming iso-nutrient chickpea meals with contrasting cellular structures. Primary outcome is gut hormone response. Secondary outcomes are intestinal content analysis, blood glucose and insulin response, subjective appetite changes and ad libitum energy intake. We show that the ‘broken’ and ‘intact’ cell structures of meals result in different digestive and metabolomic profiles, leading to distinct postprandial gut hormones, glycaemia and satiety responses. ‘Broken' meal structure elicits higher GIP, GLP-1, and blood glycaemia, driven by high starch digestibility and a sharp rise in gastric maltose within 30 minutes. ‘Intact’ meal structure produces a prolonged release of GLP-1 and PYY, elevated duodenal amino acids, and undigested starch at 120 minutes. This work highlights how food structure alters upper gastrointestinal-nutrient-sensing hormones, providing insights into the adverse effects of modern diets on obesity and type 2 diabetes.
DOI: 10.6084/m9.figshare.29141651.v1
title: Cai_Fig.3.xlsx

description: Dietary interventions to combat non-communicable diseases focus on optimising food intake but overlook the influence of food structure. Here, we investigate how food structure influences digestion. In a randomised crossover study, ten healthy participants were fitted with nasoenteric tubes that allow simultaneous gastric and duodenal sampling, before consuming iso-nutrient chickpea meals with contrasting cellular structures. Primary outcome is gut hormone response. Secondary outcomes are intestinal content analysis, blood glucose and insulin response, subjective appetite changes and ad libitum energy intake. We show that the ‘broken’ and ‘intact’ cell structures of meals result in different digestive and metabolomic profiles, leading to distinct postprandial gut hormones, glycaemia and satiety responses. ‘Broken' meal structure elicits higher GIP, GLP-1, and blood glycaemia, driven by high starch digestibility and a sharp rise in gastric maltose within 30 minutes. ‘Intact’ meal structure produces a prolonged release of GLP-1 and PYY, elevated duodenal amino acids, and undigested starch at 120 minutes. This work highlights how food structure alters upper gastrointestinal-nutrient-sensing hormones, providing insights into the adverse effects of modern diets on obesity and type 2 diabetes.
DOI: 10.15468/dl.9dwqbg
title: Occurrence Download

description: A dataset containing 49359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Columbina cruziana (Prévost, 1842)"
 ]
}

 The dataset includes 49359 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001733-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15518253
title: Environmental discrimination through urban planning: the case of French Traveller sites
DOI: 10.5281/zenodo.15518254
title: Environmental discrimination through urban planning: the case of French Traveller sites
DOI: 10.15468/dl.vs36km
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ficus tikoua Bureau"
 ]
}

 The dataset includes 597 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001737-250525065834625/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.29141648
title: Cai_Fig.5.xlsx

description: Dietary interventions to combat non-communicable diseases focus on optimising food intake but overlook the influence of food structure. Here, we investigate how food structure influences digestion. In a randomised crossover study, ten healthy participants were fitted with nasoenteric tubes that allow simultaneous gastric and duodenal sampling, before consuming iso-nutrient chickpea meals with contrasting cellular structures. Primary outcome is gut hormone response. Secondary outcomes are intestinal content analysis, blood glucose and insulin response, subjective appetite changes and ad libitum energy intake. We show that the ‘broken’ and ‘intact’ cell structures of meals result in different digestive and metabolomic profiles, leading to distinct postprandial gut hormones, glycaemia and satiety responses. ‘Broken' meal structure elicits higher GIP, GLP-1, and blood glycaemia, driven by high starch digestibility and a sharp rise in gastric maltose within 30 minutes. ‘Intact’ meal structure produces a prolonged release of GLP-1 and PYY, elevated duodenal amino acids, and undigested starch at 120 minutes. This work highlights how food structure alters upper gastrointestinal-nutrient-sensing hormones, providing insights into the adverse effects of modern diets on obesity and type 2 diabetes.
DOI: 10.6084/m9.figshare.29141648.v1
title: Cai_Fig.5.xlsx

description: Dietary interventions to combat non-communicable diseases focus on optimising food intake but overlook the influence of food structure. Here, we investigate how food structure influences digestion. In a randomised crossover study, ten healthy participants were fitted with nasoenteric tubes that allow simultaneous gastric and duodenal sampling, before consuming iso-nutrient chickpea meals with contrasting cellular structures. Primary outcome is gut hormone response. Secondary outcomes are intestinal content analysis, blood glucose and insulin response, subjective appetite changes and ad libitum energy intake. We show that the ‘broken’ and ‘intact’ cell structures of meals result in different digestive and metabolomic profiles, leading to distinct postprandial gut hormones, glycaemia and satiety responses. ‘Broken' meal structure elicits higher GIP, GLP-1, and blood glycaemia, driven by high starch digestibility and a sharp rise in gastric maltose within 30 minutes. ‘Intact’ meal structure produces a prolonged release of GLP-1 and PYY, elevated duodenal amino acids, and undigested starch at 120 minutes. This work highlights how food structure alters upper gastrointestinal-nutrient-sensing hormones, providing insights into the adverse effects of modern diets on obesity and type 2 diabetes.
DOI: 10.15468/dl.5ppchf
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombus yezoensis Matsumura, 1932",
 "Country is Japan",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 63 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001739-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa995e
title: Occurrence Download

description: A dataset containing 2361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence, Living Specimen)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 2361 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001738-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15111807
title: Data for Deep-learning models of the ascending proprioceptive pathway are subject to illusions

description: Deep-learning models of the ascending proprioceptive pathway are subject to illusions

Authors: Adriana Perez Rotondo*, Merkourios Simos*, Florian David, Sebastian Pigeon, Olaf Blanke, & Alexander Mathis

*These authors contributed equally to this work.

Affiliation: EPFL - École Polytechnique Fédérale de Lausanne, Switzerland 🇨🇭

Date of upload: May 2025

Link to article: https://www.biorxiv.org/content/10.1101/2025.03.15.643457v1

Link to code: https://github.com/amathislab/ProprioceptiveIllusions

-------------------------------

Here we provide the data to run the code provided in github. 

1. Data required to train and test the models in `data.zip` ~37 GB when uncompressed. This includes: 



cleaned_smooth: pre-processed data from FLAG3D and PCR dataset, the elbow flexion datasets used to evaluate the models' performance (EF3D) and effect of vibrations (ES3D). These datasets contain the muscle kinematics used, togther with the spindle models to generate the inputs to the models with spindle inputs. 

osim: the opensim model used to generate the muscle kinematics for all datasets.

spindles: inputs and outputs to the 21 trained models in the paper form the ES3D dataset, used to test tendon vibrations on the models


2. Data to reproduce the figures in the paper in `data_for_figs.zip` ~5.1 GB when uncompressed.

3. Weights for the 21 trained models analyzed in the paper in `trained_models.zip` ~13 MB when uncompressed.
DOI: 10.5281/zenodo.15111808
title: Data for Deep-learning models of the ascending proprioceptive pathway are subject to illusions

description: Deep-learning models of the ascending proprioceptive pathway are subject to illusions

Authors: Adriana Perez Rotondo*, Merkourios Simos*, Florian David, Sebastian Pigeon, Olaf Blanke, & Alexander Mathis

*These authors contributed equally to this work.

Affiliation: EPFL - École Polytechnique Fédérale de Lausanne, Switzerland 🇨🇭

Date of upload: May 2025

Link to article: https://www.biorxiv.org/content/10.1101/2025.03.15.643457v1

Link to code: https://github.com/amathislab/ProprioceptiveIllusions

-------------------------------

Here we provide the data to run the code provided in github. 

1. Data required to train and test the models in `data.zip` ~37 GB when uncompressed. This includes: 



cleaned_smooth: pre-processed data from FLAG3D and PCR dataset, the elbow flexion datasets used to evaluate the models' performance (EF3D) and effect of vibrations (ES3D). These datasets contain the muscle kinematics used, togther with the spindle models to generate the inputs to the models with spindle inputs. 

osim: the opensim model used to generate the muscle kinematics for all datasets.

spindles: inputs and outputs to the 21 trained models in the paper form the ES3D dataset, used to test tendon vibrations on the models


2. Data to reproduce the figures in the paper in `data_for_figs.zip` ~5.1 GB when uncompressed.

3. Weights for the 21 trained models analyzed in the paper in `trained_models.zip` ~13 MB when uncompressed.
DOI: 10.6084/m9.figshare.29141645
title: Cai_Fig.7.xlsx

description: Contains data for figure 7Dietary interventions to combat non-communicable diseases focus on optimising food intake but overlook the influence of food structure. Here, we investigate how food structure influences digestion. In a randomised crossover study, ten healthy participants were fitted with nasoenteric tubes that allow simultaneous gastric and duodenal sampling, before consuming iso-nutrient chickpea meals with contrasting cellular structures. Primary outcome is gut hormone response. Secondary outcomes are intestinal content analysis, blood glucose and insulin response, subjective appetite changes and ad libitum energy intake. We show that the ‘broken’ and ‘intact’ cell structures of meals result in different digestive and metabolomic profiles, leading to distinct postprandial gut hormones, glycaemia and satiety responses. ‘Broken' meal structure elicits higher GIP, GLP-1, and blood glycaemia, driven by high starch digestibility and a sharp rise in gastric maltose within 30 minutes. ‘Intact’ meal structure produces a prolonged release of GLP-1 and PYY, elevated duodenal amino acids, and undigested starch at 120 minutes. This work highlights how food structure alters upper gastrointestinal-nutrient-sensing hormones, providing insights into the adverse effects of modern diets on obesity and type 2 diabetes.
DOI: 10.15468/dl.m2b7rk
title: Occurrence Download

description: A dataset containing 2565019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)",
 "Year 2020-2024"
 ]
}

 The dataset includes 2565019 records from 1890 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001710-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1380737.10fu
title: SH1380737.10FU

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/sh1380742.10fu
title: SH1380742.10FU

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/sh1380751.10fu
title: SH1380751.10FU

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/sh1380755.10fu
title: SH1380755.10FU

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/sh1380759.10fu
title: SH1380759.10FU

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/sh1380763.10fu
title: SH1380763.10FU

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: 10.17026/dans-zem-x2uc
title: Breda Haagdijk 145 Penmolenstraat 4
title: Erfgoedrapport Breda 37

description: &lt;p&gt;noodonderzoek, archeologische begeleiding bij ontgraving tot circa 1.00 m -Mv&lt;/p&gt;
description: &lt;p&gt;Inventariserend veldonderzoek door middel van proefsleuven&lt;/p&gt;
description: Date Submitted: 2012-04-19
description: Issued: 2012-04-19
description: Toevoeging van geconverteerde GIS-data uit het originele ArcheoLink APR-bestand.
DOI: 10.15156/bio/sh1380766.10fu
title: SH1380766.10FU

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/sh1380767.10fu
title: SH1380767.10FU

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/sh1380769.10fu
title: SH1380769.10FU

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.