cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30713061
title: Fast and Robust Invariant Generalized Linear Models

description: Statistical integration of diverse data sources is an essential step in the building of generalizable prediction tools, especially in precision health. The invariant features model is a new paradigm for multi-source data integration which posits that a small number of covariates affect the outcome identically across all possible environments. Existing methods for estimating invariant effects suffer from immense computational costs or only offer good statistical performance under strict assumptions. In this work, we provide a general framework for estimation under the invariant features model that is computationally efficient and statistically flexible. We also provide a robust extension of our proposed method to protect against possibly corrupted or misspecified data sources. We demonstrate the robust properties of our method via simulations, and use it to build a transferable prediction model for end stage renal disease using electronic health records from the All of Us research program.
DOI: 10.6084/m9.figshare.30713061.v1
title: Fast and robust invariant generalized linear models

description: Statistical integration of diverse data sources is an essential step in the building of generalizable prediction tools, especially in precision health. The invariant features model is a new paradigm for multi-source data integration which posits that a small number of covariates affect the outcome identically across all possible environments. Existing methods for estimating invariant effects suffer from immense computational costs or only offer good statistical performance under strict assumptions. In this work, we provide a general framework for estimation under the invariant features model that is computationally efficient and statistically flexible. We also provide a robust extension of our proposed method to protect against possibly corrupted or misspecified data sources. We demonstrate the robust properties of our method via simulations, and use it to build a transferable prediction model for end stage renal disease using electronic health records from the All of Us research program.
DOI: 10.6084/m9.figshare.30713061.v2
title: Fast and Robust Invariant Generalized Linear Models

description: Statistical integration of diverse data sources is an essential step in the building of generalizable prediction tools, especially in precision health. The invariant features model is a new paradigm for multi-source data integration which posits that a small number of covariates affect the outcome identically across all possible environments. Existing methods for estimating invariant effects suffer from immense computational costs or only offer good statistical performance under strict assumptions. In this work, we provide a general framework for estimation under the invariant features model that is computationally efficient and statistically flexible. We also provide a robust extension of our proposed method to protect against possibly corrupted or misspecified data sources. We demonstrate the robust properties of our method via simulations, and use it to build a transferable prediction model for end stage renal disease using electronic health records from the All of Us research program.
DOI: 10.6084/m9.figshare.31231882
title: Stop-motion anatomy and digitally reversed dissection of a human hand

description: This paper and accompanying video present stop-motion and digitally reversed dissection as contemporary methods of exhibiting cadaveric anatomy. Stop-motion techniques can give the impression of an ‘invisible dissector’, providing a unique and intriguing view of the body disassembling itself. Digitally reversed dissection then allows reversal of stop-motion footage, enabling the viewer to witness the body being reassembled, thus highlighting structural relationships from a new perspective. This alternate form of time-lapse video was established as an effective method of recording small and complex body regions without the dissector obstructing the field of view. Implementation of these techniques is showcased and described here with reference to dissection of a soft-fix cadaveric hand. Both technical and pedagogical strengths and limitations of these techniques are discussed and some advice on production of dissection videos has been offered.
DOI: 10.6084/m9.figshare.31231882.v1
title: Stop-motion anatomy and digitally reversed dissection of a human hand

description: This paper and accompanying video present stop-motion and digitally reversed dissection as contemporary methods of exhibiting cadaveric anatomy. Stop-motion techniques can give the impression of an ‘invisible dissector’, providing a unique and intriguing view of the body disassembling itself. Digitally reversed dissection then allows reversal of stop-motion footage, enabling the viewer to witness the body being reassembled, thus highlighting structural relationships from a new perspective. This alternate form of time-lapse video was established as an effective method of recording small and complex body regions without the dissector obstructing the field of view. Implementation of these techniques is showcased and described here with reference to dissection of a soft-fix cadaveric hand. Both technical and pedagogical strengths and limitations of these techniques are discussed and some advice on production of dissection videos has been offered.
DOI: 10.6084/m9.figshare.31171432
title: Causal association between multiple sclerosis and trigeminal neuralgia: A Mendelian randomization study with meta-analysis

description: This study utilized a meta-analysis of two-sample Mendelian randomization (MR) to investigate the causal link between multiple sclerosis (MS) and trigeminal neuralgia (TN). Using genetic summary data from the OpenGWAS database (European descent), researchers identified eight MS GWAS studies as exposures and one TN study as the outcome. Ten MR approaches, including IVW and MR-Egger, were employed. Pooled estimates were calculated using a fixed-effects inverse-variance model, with significance set at P &lt; 0.05. Seven of the eight MS exposures showed a positive causal association with TN. The meta-analysis confirmed that MS significantly increases TN risk by 11% (IVW: 95% CI = 1.05–1.16; P &lt; 0.001). Sensitivity analyses indicated no evidence of pleiotropy or heterogeneity, ensuring robust findings. Genetic predisposition to MS is a causal factor for TN. Further research is required to explore underlying biological pathways and validate these results across diverse populations.
DOI: 10.6084/m9.figshare.31171432.v1
title: Causal association between multiple sclerosis and trigeminal neuralgia: A Mendelian randomization study with meta-analysis

description: This study utilized a meta-analysis of two-sample Mendelian randomization (MR) to investigate the causal link between multiple sclerosis (MS) and trigeminal neuralgia (TN). Using genetic summary data from the OpenGWAS database (European descent), researchers identified eight MS GWAS studies as exposures and one TN study as the outcome. Ten MR approaches, including IVW and MR-Egger, were employed. Pooled estimates were calculated using a fixed-effects inverse-variance model, with significance set at P &lt; 0.05. Seven of the eight MS exposures showed a positive causal association with TN. The meta-analysis confirmed that MS significantly increases TN risk by 11% (IVW: 95% CI = 1.05–1.16; P &lt; 0.001). Sensitivity analyses indicated no evidence of pleiotropy or heterogeneity, ensuring robust findings. Genetic predisposition to MS is a causal factor for TN. Further research is required to explore underlying biological pathways and validate these results across diverse populations.
DOI: 10.15468/dl.ht43m7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Combretum apetalum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007435-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9zz5n
title: Occurrence Download

description: A dataset containing 4958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arabidopsis arenosa, Arabis arenosa, Arabis arenosa, Cardaminopsis arenosa)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 4958 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007436-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghm8vm
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arabidopsis halleri, Arabidopsis halleri, Cardaminopsis halleri)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 672 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007437-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/11ff532b5cbc45eac3fc28ceee17892b
title: The 2021 Freshwater Oil Spill Remediation Study (FOReSt), assessing the use of enhanced Monitored Natural Recovery (eMNR) of conventional heavy crude oil spills conducted in freshwater shoreline enclosures at the IISD Experimental Lakes Area, ON, Canada from 2021 to 2022.

description: The following package includes data from the 2021 Freshwater Oil spill Remediation Study (FOReSt) at the IISD Experimental Lakes Area studying the use of enhanced monitored natural recovery (eMNR) as a secondary remediation method for conventional heavy crude oil spills in freshwater shoreline enclosures. This package includes data tables on polycyclic aromatic compound chemistry in water and sediments, basic water quality, nutrient chemistry monitored in the experimental and reference enclosures, and lake reference sites over the duration of the study. As well as tables detailing enclosure metrics (depth), tritium chemistry, and a treatment key. 
 
 Data included in this package was first collected and used in the paper by Stanley et al., titled Rapid Chemical Remediation of Freshwater Enclosures Treated with Conventional Heavy Crude Oil Spills Followed by Enhanced Monitored Natural Recovery
DOI: 10.15468/dl.zr4qzu
title: Occurrence Download

description: A dataset containing 80404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Angelica sylvestris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 80404 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007403-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/olxwqn
title: Products and co-products of andiroba: amazonian fruit as a new source of high added-value ingredients for food and cosmetic applications

description: Data on the preliminary tests and characterization analysis of andiroba oil and palm olein blends; data on the production and characterization of andiroba oil emulsions; data on the extraction and characterization of proteins from the press cake of andiroba oil's production. Especifically, the dataset includes data on the characterization of the lipid profile and composition of minor compounds of andiroba oil, on the cold stability, solid fat content, rheological and thermal properties of blends composed of andiroba oil and palm olein. In addition, there is data on the evaluation of the microstrutucture, rheological characteristics, macroscopic appearance and oxidative stability of andiroba oil emulsions. Finally, data on the optimization of protein extraction from andiroba press-cake are reported, followed by the characterization of the extracts regarding their proximate composition, rheological properties and techno-functional aspects (water solubility, zeta potential, foaming capacity, emulsifying capacity, gelling capacity, water and oil retention). Most of the data has not been published yet, so it is not made fully available. To access the data, please contact Priscila Santos by email (prisciladayane.freitas@gmail.com).
DOI: 10.25318/3810018901-fra
title: Services écosystémiques océaniques et côtiers : mesures physiques par biorégion marine

description: Mesures physiques de certains services écosystémiques fournis par les écosystèmes océaniques et côtiers, selon la biorégion marine. Comprend les débarquements de pêches maritime, le tourisme axé sur la nature, le carbone séquestré, les valeurs de non-utilisation et les utilisateurs quotidiens potentiels.
DOI: 10.15468/dl.ug79kt
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Combretum moggii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 46 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007438-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17940316
title: General Healthcare Access Deprivation Modelled Dataset in Pereira, Colombia

description: Produced as part of the IDEAMAPS Data Ecosystem project, this dataset maps the degree of access deprivation to General Healthcare. It is a spatial representation of how communities can reach, choose and use the general healthcare services offered by public facilities. Areas with higher levels of access deprivation are associated with greater difficulties in accessing general healthcare.
DOI: 10.5281/zenodo.17940317
title: General Healthcare Access Deprivation Modelled Dataset in Pereira, Colombia

description: Produced as part of the IDEAMAPS Data Ecosystem project, this dataset maps the degree of access deprivation to General Healthcare. It is a spatial representation of how communities can reach, choose and use the general healthcare services offered by public facilities. Areas with higher levels of access deprivation are associated with greater difficulties in accessing general healthcare.
DOI: 10.15468/dl.jqrzxb
title: Occurrence Download

description: A dataset containing 8785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arabidopsis thaliana, Arabidopsis thaliana, Sisymbrium thalianum, Sisymbrium thalianum, Sisymbrium thalianum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 8785 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007439-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18458295
title: Social media data: Flickr and Twitter metadata for eight mountain parks in Spain and Portugal

description: This dataset contains a collection of geolocated photos and their associated metadata, which were retrieved from two social media platforms: Flickr (241,582 photos) and Twitter/X (1,035,488 photos) downloaded for the period 2015 - 2022. The metadata includes information such as geographic coordinates, timestamps, anonymised user identifiers and platform-specific attributes (e.g. tags, text captions, image URLs and retweets/favourites for Twitter).

The data were collected for eight mountain national parks located in Spain and Portugal: Aigüestortes, Sierra de Guadarrama, Ordesa, Peneda-Gerês, Picos de Europa, Sierra de las Nieves, Sierra Nevada and Teide.

These databases were subsequently labeled using artificial intelligence models and expert human labelers.

Table 1. Table of contents of the dataset








Folder

 
 


format



Description





Flickr



Database metadata



Flickr_database



.csv



This CSV file contains metadata associated with 241,582 geolocated photos retrieved from the Flickr platform





Twitter



Database metadata



Twitter_database



.csv



This CSV file contains metadata associated with 1,035,488 geolocated photos retrieved from the Twitter platform





Scripts to download photos



Flickr



Download Flickr



.py



Python script used to download geolocated photos from the Flickr platform (publicly accessible via API). The script implements a grid-based approach (1 km resolution) to spatially structure and optimize the download process, avoiding API rate limits and redundancies.



 


Twitter



Download Twitter



.py



Python script used to download geolocated photos from the Twitter/X platform (currently restricted). The script implements a grid-based approach (1 km resolution) to spatially structure and optimize the download process, avoiding API rate limits and redundancies.
DOI: 10.5281/zenodo.18458294
title: Social media data: Flickr and Twitter metadata for eight mountain parks in Spain and Portugal

description: This dataset contains a collection of geolocated photos and their associated metadata, which were retrieved from two social media platforms: Flickr (241,582 photos) and Twitter/X (1,035,488 photos) downloaded for the period 2015 - 2022. The metadata includes information such as geographic coordinates, timestamps, anonymised user identifiers and platform-specific attributes (e.g. tags, text captions, image URLs and retweets/favourites for Twitter).

The data were collected for eight mountain national parks located in Spain and Portugal: Aigüestortes, Sierra de Guadarrama, Ordesa, Peneda-Gerês, Picos de Europa, Sierra de las Nieves, Sierra Nevada and Teide.

These databases were subsequently labeled using artificial intelligence models and expert human labelers.

Table 1. Table of contents of the dataset








Folder

 
 


format



Description





Flickr



Database metadata



Flickr_database



.csv



This CSV file contains metadata associated with 241,582 geolocated photos retrieved from the Flickr platform





Twitter



Database metadata



Twitter_database



.csv



This CSV file contains metadata associated with 1,035,488 geolocated photos retrieved from the Twitter platform





Scripts to download photos



Flickr



Download Flickr



.py



Python script used to download geolocated photos from the Flickr platform (publicly accessible via API). The script implements a grid-based approach (1 km resolution) to spatially structure and optimize the download process, avoiding API rate limits and redundancies.



 


Twitter



Download Twitter



.py



Python script used to download geolocated photos from the Twitter/X platform (currently restricted). The script implements a grid-based approach (1 km resolution) to spatially structure and optimize the download process, avoiding API rate limits and redundancies.
DOI: 10.15468/dl.sqr4vd
title: Occurrence Download

description: A dataset containing 2272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arabis ciliata, Arabis ciliata, Arabis ciliata, Arabis ciliata, Arabis ciliata, Arabis corymbiflora)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2272 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007441-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mscjz
title: Occurrence Download

description: A dataset containing 6426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arabis hirsuta, Arabis hirsuta, Arabis hirsuta, Arabis hirsuta, Arabis hirsuta, Arabis nemorensis, Arabis nemorensis, Arabis sagittata, Arabis gerardii, Arabis planisiliqua)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 6426 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007442-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18460424
title: IMPROVING THE INTEGRATED INFORMATION AND METHODOLOGICAL SYSTEM FOR DEVELOPING MANAGEMENT COMPETENCIES OF STUDENTS OF HIGHER EDUCATION INSTITUTIONS

description: This article scientifically analyzes the problem of forming and developing management competence in students of higher educational institutions from the perspective of modern pedagogical paradigms and digital transformation processes. The study clarifies the essence of the concept of an integrated information and methodological system, substantiates its structural components, functional capabilities and didactic effectiveness. Based on theoretical analysis, modeling and empirical observations, priority areas for improving this system were developed. The results of the study showed that an integrated information and methodological approach is an important factor in developing the competencies of reflection, independence, critical thinking and rational management decision-making in students' activities.
DOI: 10.5281/zenodo.18460425
title: IMPROVING THE INTEGRATED INFORMATION AND METHODOLOGICAL SYSTEM FOR DEVELOPING MANAGEMENT COMPETENCIES OF STUDENTS OF HIGHER EDUCATION INSTITUTIONS

description: This article scientifically analyzes the problem of forming and developing management competence in students of higher educational institutions from the perspective of modern pedagogical paradigms and digital transformation processes. The study clarifies the essence of the concept of an integrated information and methodological system, substantiates its structural components, functional capabilities and didactic effectiveness. Based on theoretical analysis, modeling and empirical observations, priority areas for improving this system were developed. The results of the study showed that an integrated information and methodological approach is an important factor in developing the competencies of reflection, independence, critical thinking and rational management decision-making in students' activities.