cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26142931
title: <b>Aquaculture coupled with trade is sustaining growth and improving stability in global aquatic food supply</b>

description: Aquatic food security is closely interconnected with multiple sustainable development goals (SDGs). Although assessing aquatic food security relies on understanding global trends in per capita production and consumption, there has been no comprehensive index to evaluate these trends in a country or regional context. Here, we develop a novel framework based on a comprehensive scoring system to assess changes in contemporary per capita aquatic food production and consumption trends (tendency, magnitude, and stability) across 177 countries in two time periods (1961–1990 and 1991–2019).
DOI: 10.5281/zenodo.8263086
title: Learning the sequence code for protein abundance in human immune cells

description: Protein abundance is defined by transcriptional, post-transcriptional and post-translational regulatory mechanisms. Understanding the code for gene expression could inform novel therapies. Here, we developed a machine learning pipeline, termed SONAR, to decipher the endogenous sequence code that defines the abundance of protein in human cells. SONAR predicts up to 63% of protein abundance independently of promoter or enhancer information. Our analysis reveals a strong - yet dynamic - cell-type specific sequence code. The deep knowledge of SONAR provides a map of biologically active sequence features (SFs), which we leveraged to manipulate protein expression and tailored to a specific cell-type. Beyond providing fundamental insights in gene expression regulation, our study offers novel means to improve therapeutic and biotechnology applications.

Datasets of the protein models (with gamma=1) are included in this repository. Please refer to GitHub for more details on how the models were generated.
DOI: 10.15468/dl.jk8af4
title: Occurrence Download

description: A dataset containing 72369 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Koster historical biodiversity assessment"
 ]
}

 The dataset includes 72369 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014683-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bsck6
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alvinella caudata Desbruyères & Laubier, 1986"
 ]
}

 The dataset includes 54 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014688-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqvadr
title: Occurrence Download

description: A dataset containing 180388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence)",
 "TaxonKey is Ochrophyta",
 "Year 1972-1981"
 ]
}

 The dataset includes 180388 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014674-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21410/7e4/radrl1
title: Résultats par départements - Élection présidentielle des 10 et 24 avril 2022

description: Les fichiers de l'Élection présidentielle des 10 et 24 avril 2022 sont construits à partir d’un nuancier des candidatures incluant trois niveaux de codage. Le niveau 1 correspond à l’ensemble des nuances attribués pour chaque scrutin. Le niveau 2 correspond à des codes simplifiés qui facilitent la lecture des résultats d’un scrutin tout en conservant les spécificités de la construction de l’offre électorale. Le niveau 3 correspond à des codes agrégés qui permettent d’assurer la comparaison dans le temps. Pour chaque scrutin, une arborescence décrit les logiques d’articulation entre ces trois niveaux de codage. Le codage s’appuie sur trois sources d’information complémentaires : les professions de foi des candidats, les investitures accordées par les partis et la presse. Ces informations ont été collectées au moment des scrutins ou grâce à du travail d’archive. La construction des codes Les codes du niveau 1 associent des informations sur les alliances entre partis et sur les appartenances partisanes individuelles des candidats titulaires. La forme classique d’un code est ALLIANCE (PARTI). Quand une candidature n’est pas issue d’une alliance, le code est seulement sous la forme PARTI. Les nuances Le dictionnaire des nuances comporte 31 codes pour le niveau 1, 28 codes pour le niveau 2 et 20 codes pour le niveau 3.
DOI: 10.21410/7e4/radrl1/atvb5l
title: FERD - P2022 - Dépôt résultats DEP.zip

description: :unav
DOI: 10.15468/dl.jqycbn
title: Occurrence Download

description: A dataset containing 53806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "Geometry POLYGON((8.74168 48.31825,8.89032 48.31825,8.89032 48.41352,8.74168 48.41352,8.74168 48.31825))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53806 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014672-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kvxqt
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Semiclivina vespertina (Putzeys, 1867)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014689-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t36cuw
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Manis tetradactyla Linnaeus, 1766"
 ]
}

 The dataset includes 44 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014690-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15043059
title: Nanopore-based enzyme-linked immunosorbent assay for cancer biomarker detection
DOI: 10.5281/zenodo.15043060
title: Nanopore-based enzyme-linked immunosorbent assay for cancer biomarker detection
DOI: 10.5157/bilo:1.0.0
title: Scientific Use File of BiLO Data
title: Scientific Use File der BiLO-Daten

description: The BiLO data survey was financed by the Oberfrankenstiftung. The data from the “BildungsLandschaft Oberfranken (BiLO)” project is available to the scientific community free of charge as a Scientific Use File (SUF). 
description: Die Erhebung der BiLO-Daten wurde von der Oberfrankenstiftung finanziert. Die Daten aus dem Projekt „BildungsLandschaft Oberfranken (BiLO)“ stehen der wissenschaftlichen Gemeinschaft kostenfrei als Scientific-Use-File (SUF) zur Verfügung stehen.
DOI: 10.15468/dl.fgatqv
title: Occurrence Download

description: A dataset containing 1889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "TaxonKey is Diceros bicornis (Linnaeus, 1758)"
 ]
}

 The dataset includes 1889 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014691-250310093411724/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/11073548
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.21410/7e4/ppsown
title: Résultats par communes - Élection présidentielle des 10 et 24 avril 2022

description: Les fichiers de l'Élection présidentielle des 10 et 24 avril 2022 sont construits à partir d’un nuancier des candidatures incluant trois niveaux de codage. Le niveau 1 correspond à l’ensemble des nuances attribués pour chaque scrutin. Le niveau 2 correspond à des codes simplifiés qui facilitent la lecture des résultats d’un scrutin tout en conservant les spécificités de la construction de l’offre électorale. Le niveau 3 correspond à des codes agrégés qui permettent d’assurer la comparaison dans le temps. Pour chaque scrutin, une arborescence décrit les logiques d’articulation entre ces trois niveaux de codage. Le codage s’appuie sur trois sources d’information complémentaires : les professions de foi des candidats, les investitures accordées par les partis et la presse. Ces informations ont été collectées au moment des scrutins ou grâce à du travail d’archive. La construction des codes Les codes du niveau 1 associent des informations sur les alliances entre partis et sur les appartenances partisanes individuelles des candidats titulaires. La forme classique d’un code est ALLIANCE (PARTI). Quand une candidature n’est pas issue d’une alliance, le code est seulement sous la forme PARTI. Les nuances Le dictionnaire des nuances comporte 31 codes pour le niveau 1, 28 codes pour le niveau 2 et 20 codes pour le niveau 3.
DOI: 10.21410/7e4/ppsown/2untnr
title: FERD - P2022 - Dépôt résultats COM.zip

description: :unav
DOI: 10.5281/zenodo.15044472
title: Quantum Diamond Microscope Dataset for Serpentinite from the Troodos Ophiolite and Oxygen Isotope Measurements
DOI: 10.5281/zenodo.15044473
title: Quantum Diamond Microscope Dataset for Serpentinite from the Troodos Ophiolite and Oxygen Isotope Measurements
DOI: 10.15468/dl.uqvedc
title: Occurrence Download

description: A dataset containing 9991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harpalus rubripes (Duftschmid, 1812)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9991 records from 294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014695-250310093411724/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.28451006
title: Supplementary Material for: Huntington’s Disease in Hospitalized Patients Infected with SARS-CoV-2 in Brazil: Three-Year Update

description: Introduction: Huntington’s disease (HD) is considered a rare and fatal neurodegenerative disease; despite that, only one study described the outcomes among those with HD and COVID-19. In this context, an epidemiological investigation was conducted in Brazil using the data from OpenDataSUS (https://opendatasus.saude.gov.br/), a Brazilian open dataset encompassing demographic and clinical information of hospitalized patients. 
Method: The study comprised 2,180,403 hospitalized patients due to COVID-19 in Brazil from December 29th, 2019, to April 6th, 2023. From the totality of the original data, patients with HD and three control populations [Control 1 (CG-1) – hospitalized patients with COVID-19 and a neurological disorder (except those with HD), Control 2 (CG-2) – hospitalized patients with COVID-19 and without comorbidities, and Control 3 (CG-3) – hospitalized patients with COVID-19 except for those with HD] were selected. The study described the following characteristics of these patients: sex, age, race, place of residence, presence of nosocomial infection, clinical signs, comorbidities, use of antiviral for Flu, need for intensive care unit, need for mechanical ventilation support, discharge criteria, and outcome.
Results: A total of 60 patients with HD were enrolled representing a prevalence of 2.8 per 100,000 inhabitants. Of these, 23 were men, 30 were aged between 25 and 60 years, 38 were White people, 58 lived in an urban area, and two presented with nosocomial infection. The main clinical signs presented were fever (45), dyspnea (45), peripheral oxygen saturation &lt;95% (45), cough (38), and respiratory discomfort (37). The main comorbidities were cardiomyopathy (13), asthma (2), and chronic lung disease (2). Four patients received the antiviral for the Flu. During the hospitalization, 18 patients required admission to an intensive care unit, 10 used invasive mechanical ventilation, 42 used non-invasive mechanical ventilation, and eight did not use ventilatory support. Regarding outcomes, 36 patients were cured, 23 died due to COVID-19, and one died, and the cause of death was not associated with the COVID-19. In the comparison of markers between patients with HD and the controls, the following significant associations were described: (CG-1) patients with HD were younger, and presented fewer clinical signs and comorbidities; (CG-2) patients with HD were commonly female, were older, presented fewer clinical signs and a higher chance of death [OR = 2.354 (95%CI = 1.395 to 3.973)]; and (CG-3) patients with HD were commonly female, and presented fewer clinical signs and comorbidities.
Conclusions: Patients with HD can only be considered an at-risk population due to the poor clinical outcomes when compared to patients without comorbidities. Even then, this group of patients presented fewer clinical signs and comorbidities.
DOI: 10.6084/m9.figshare.28451006.v2
title: Supplementary Material for: Huntington’s Disease in Hospitalized Patients Infected with SARS-CoV-2 in Brazil: Three-Year Update

description: Introduction: Huntington’s disease (HD) is considered a rare and fatal neurodegenerative disease; despite that, only one study described the outcomes among those with HD and COVID-19. In this context, an epidemiological investigation was conducted in Brazil using the data from OpenDataSUS (https://opendatasus.saude.gov.br/), a Brazilian open dataset encompassing demographic and clinical information of hospitalized patients. 
Method: The study comprised 2,180,403 hospitalized patients due to COVID-19 in Brazil from December 29th, 2019, to April 6th, 2023. From the totality of the original data, patients with HD and three control populations [Control 1 (CG-1) – hospitalized patients with COVID-19 and a neurological disorder (except those with HD), Control 2 (CG-2) – hospitalized patients with COVID-19 and without comorbidities, and Control 3 (CG-3) – hospitalized patients with COVID-19 except for those with HD] were selected. The study described the following characteristics of these patients: sex, age, race, place of residence, presence of nosocomial infection, clinical signs, comorbidities, use of antiviral for Flu, need for intensive care unit, need for mechanical ventilation support, discharge criteria, and outcome.
Results: A total of 60 patients with HD were enrolled representing a prevalence of 2.8 per 100,000 inhabitants. Of these, 23 were men, 30 were aged between 25 and 60 years, 38 were White people, 58 lived in an urban area, and two presented with nosocomial infection. The main clinical signs presented were fever (45), dyspnea (45), peripheral oxygen saturation &lt;95% (45), cough (38), and respiratory discomfort (37). The main comorbidities were cardiomyopathy (13), asthma (2), and chronic lung disease (2). Four patients received the antiviral for the Flu. During the hospitalization, 18 patients required admission to an intensive care unit, 10 used invasive mechanical ventilation, 42 used non-invasive mechanical ventilation, and eight did not use ventilatory support. Regarding outcomes, 36 patients were cured, 23 died due to COVID-19, and one died, and the cause of death was not associated with the COVID-19. In the comparison of markers between patients with HD and the controls, the following significant associations were described: (CG-1) patients with HD were younger, and presented fewer clinical signs and comorbidities; (CG-2) patients with HD were commonly female, were older, presented fewer clinical signs and a higher chance of death [OR = 2.354 (95%CI = 1.395 to 3.973)]; and (CG-3) patients with HD were commonly female, and presented fewer clinical signs and comorbidities.
Conclusions: Patients with HD can only be considered an at-risk population due to the poor clinical outcomes when compared to patients without comorbidities. Even then, this group of patients presented fewer clinical signs and comorbidities.
DOI: 10.6084/m9.figshare.28381076
title: Supplementary Material for: Gallstone Ileus Mimicking a Colonic Tumor: A Case Report

description: Introduction
Gall stone ileus is a rare complication of cholelithiasis which typically presents with obstruction
in the small intestine. However, it can rarely mimic a mass when it presents in unusual sites like
the sigmoid colon as in our case.

Case Presentation
We present a 42-year-old woman with history of bariatric surgery, diverticulitis status post
sigmoid colectomy and decompensated cirrhosis complicated by hepatic encephalopathy who
presented to the hospital with concern for altered mental status and was diagnosed with grade III
hepatic encephalopathy due to lactulose non adherence. During the hospitalization, patient
developed rectal bleeding with suspected colonic mass on imaging that was ultimately identified
as a large sigmoid gallstone ileus on endoscopic evaluation.

Conclusion
Our report aims to highlight the importance of considering gallstone ileus in the differential
diagnosis of colonic masses, especially in patients with relevant clinical history.
DOI: 10.6084/m9.figshare.28451006.v1
title: Supplementary Material for: Huntington’s Disease in Hospitalized Patients Infected with SARS-CoV-2 in Brazil: Three-Year Update

description: Introduction: Huntington’s disease (HD) is considered a rare and fatal neurodegenerative disease; despite that, only one study described the outcomes among those with HD and COVID-19. In this context, an epidemiological investigation was conducted in Brazil using the data from OpenDataSUS (https://opendatasus.saude.gov.br/), a Brazilian open dataset encompassing demographic and clinical information of hospitalized patients. 
Method: The study comprised 2,180,403 hospitalized patients due to COVID-19 in Brazil from December 29th, 2019, to April 6th, 2023. From the totality of the original data, patients with HD and three control populations [Control 1 (CG-1) – hospitalized patients with COVID-19 and a neurological disorder (except those with HD), Control 2 (CG-2) – hospitalized patients with COVID-19 and without comorbidities, and Control 3 (CG-3) – hospitalized patients with COVID-19 except for those with HD] were selected. The study described the following characteristics of these patients: sex, age, race, place of residence, presence of nosocomial infection, clinical signs, comorbidities, use of antiviral for Flu, need for intensive care unit, need for mechanical ventilation support, discharge criteria, and outcome.
Results: A total of 60 patients with HD were enrolled representing a prevalence of 2.8 per 100,000 inhabitants. Of these, 23 were men, 30 were aged between 25 and 60 years, 38 were White people, 58 lived in an urban area, and two presented with nosocomial infection. The main clinical signs presented were fever (45), dyspnea (45), peripheral oxygen saturation &lt;95% (45), cough (38), and respiratory discomfort (37). The main comorbidities were cardiomyopathy (13), asthma (2), and chronic lung disease (2). Four patients received the antiviral for the Flu. During the hospitalization, 18 patients required admission to an intensive care unit, 10 used invasive mechanical ventilation, 42 used non-invasive mechanical ventilation, and eight did not use ventilatory support. Regarding outcomes, 36 patients were cured, 23 died due to COVID-19, and one died, and the cause of death was not associated with the COVID-19. In the comparison of markers between patients with HD and the controls, the following significant associations were described: (CG-1) patients with HD were younger, and presented fewer clinical signs and comorbidities; (CG-2) patients with HD were commonly female, were older, presented fewer clinical signs and a higher chance of death [OR = 2.354 (95%CI = 1.395 to 3.973)]; and (CG-3) patients with HD were commonly female, and presented fewer clinical signs and comorbidities.
Conclusions: Patients with HD can only be considered an at-risk population due to the poor clinical outcomes when compared to patients without comorbidities. Even then, this group of patients presented fewer clinical signs and comorbidities.
DOI: 10.6084/m9.figshare.28381076.v1
title: Supplementary Material for: Gallstone Ileus Mimicking a Colonic Tumor: A Case Report

description: Introduction
Gall stone ileus is a rare complication of cholelithiasis which typically presents with obstruction
in the small intestine. However, it can rarely mimic a mass when it presents in unusual sites like
the sigmoid colon as in our case.

Case Presentation
We present a 42-year-old woman with history of bariatric surgery, diverticulitis status post
sigmoid colectomy and decompensated cirrhosis complicated by hepatic encephalopathy who
presented to the hospital with concern for altered mental status and was diagnosed with grade III
hepatic encephalopathy due to lactulose non adherence. During the hospitalization, patient
developed rectal bleeding with suspected colonic mass on imaging that was ultimately identified
as a large sigmoid gallstone ileus on endoscopic evaluation.

Conclusion
Our report aims to highlight the importance of considering gallstone ileus in the differential
diagnosis of colonic masses, especially in patients with relevant clinical history.
DOI: 10.6084/m9.figshare.28615445
title: Supplementary Material for: The utilisation, application and quality of videos of clinical interventions in peer-reviewed literature: a scoping review

description: Background: Videos of clinical interventions (VoCI) demonstrating surgical and interventional procedures have become a mainstay in clinical practice and peer-reviewed academic literature. Despite the widespread availability of VoCI in the literature, there remains no established guidelines regarding the reporting of VoCI. We undertook a scoping review to investigate the current utilisation, application, and quality in VoCI reporting.

Methods: A comprehensive literature search of MEDLINE, EMBASE, Emcare and CINAHL databases was performed to retrieve articles presenting VoCI, from January 2020 to December 2023. A customised data extraction tool assessed video characteristics (e.g. case presentation, outcomes), utility (e.g. target audience, reproducibility of procedure) and quality (subjective and objective). 

Results: Six hundred and twenty-four VoCI were included (mean length 06:06), with over 62 hours of VoCI reviewed. The most common VoCI perspectives were endoscopic (n = 153; 25%) and laparoscopic (n = 140; 22%). The clinical background and outcomes were described in 480 (76.9%) and 403 cases (64.6%), respectively, with disclosures (n = 23; 3.8%) rarely presented. VoCI primarily targeted trainees (n = 547; 87.7%) with most videos providing technical guidance (n = 394; 63.1%). Two hundred and forty-eight videos (40%) were rated as medium or low quality on subjective assessment. 

Conclusions: There is significant heterogeneity and notably poor quality control in VoCI reporting in peer-reviewed literature resulting in the omission of critical procedural steps and suboptimal visual quality. VoCI reporting guidelines are therefore urgently required to provide a set of minimum items that should be reported by clinicians when uploading VoCI.