cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a5tbzc
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Faramea multiflora A.Rich. ex DC.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017699-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4tu8g
title: Occurrence Download

description: A dataset containing 771768 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 771768 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017686-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfu3xt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Faramea oaxacensis Borhidi)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017700-250127130748423/datasets/export for details.
DOI: 10.15468/dl.7dy4dr
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Lycium ruthenicum Murray"
 ]
}

 The dataset includes 208 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017701-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47a74r
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Faramea occidentalis (L.) A.Rich.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 130 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017702-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk53rv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Faramea schultesii Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017703-250127130748423/datasets/export for details.
DOI: 10.15468/dl.m6p9qa
title: Occurrence Download

description: A dataset containing 28955 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morpho Fabricius, 1807"
 ]
}

 The dataset includes 28955 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017704-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.374aja
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Genipa americana L.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 253 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017705-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sv6x8
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Glossostipula blepharophylla (Standl.) Lorence)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017706-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ky55c
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Glossostipula concinna (Standl.) Lorence)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017707-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvpq56
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gonzalagunia chiapasensis (Standl.) Standl. & Steyerm.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017708-250127130748423/datasets/export for details.
DOI: 10.15468/dl.hfktfr
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gonzalagunia panamensis (Cav.) K.Schum.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017709-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14809255
title: OpenFE 2024 Industry Benchmarking Project, Results from Eli Lilly (charge annihilation,  itk, thrombin, jak1, tyk2, cdk2)

description:  OpenFE 2024 Industry Benchmarking Project, Results from systems charge_annihilation set; itk, thrombin, jak1, tyk2, cdk2. OpenFE version v1.0.1. Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.5281/zenodo.14809256
title: OpenFE 2024 Industry Benchmarking Project, Results from Eli Lilly (charge annihilation,  itk, thrombin, jak1, tyk2, cdk2)

description:  OpenFE 2024 Industry Benchmarking Project, Results from systems charge_annihilation set; itk, thrombin, jak1, tyk2, cdk2. OpenFE version v1.0.1. Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.5281/zenodo.14823741
title: On the validity of the state space correspondence strategy based on k-nearest neighbor cross-predictability in assessing directionality in stochastic systems Application to cardiorespiratory coupling estimation

description: Abstract



We tested the validity of the state space correspondence (SSC) strategy based on k-nearest neighbor cross-predictability (KNNCP) to assess the directionality of coupling in stochastic nonlinear bivariate autoregressive (NBAR) processes. The approach was applied to assess closed-loop cardiorespiratory interactions between heart period (HP) variability and respiration (R) during a controlled respiration (CR) protocol in 19 healthy humans (aged from 27 to 35 yrs, 11 females) and during active standing (STAND) in 25 athletes (aged from 20 to 40 yrs, all men) and 25 non-athletes (aged from 20 to 40 yrs, all men). Over simulated NBAR processes, we found that (i) the SSC approach can detect the correct causal relationship as the direction leads to better KNNCP from the past of the driver to the future state of the target and (ii) simulations suggest that the ability of the method is preserved in any condition of complexity of the interacting series. Over CR and STAND protocols, we found that (a) slowing the breathing rate increases the strength of the causal relationship in both temporal directions in a balanced modality; (b) STAND is more powerful in modulating the coupling strength on the pathway from HP to R; (c) regardless of protocol and experimental condition, the strength of the link from HP to R is stronger than that from R to HP; (d) significant causal relationships in both temporal directions are found regardless of the level of complexity of HP variability and R. The SSC strategy is useful to disentangle closed-loop cardiorespiratory interactions.
DOI: 10.5281/zenodo.14823742
title: On the validity of the state space correspondence strategy based on k-nearest neighbor cross-predictability in assessing directionality in stochastic systems Application to cardiorespiratory coupling estimation

description: Abstract



We tested the validity of the state space correspondence (SSC) strategy based on k-nearest neighbor cross-predictability (KNNCP) to assess the directionality of coupling in stochastic nonlinear bivariate autoregressive (NBAR) processes. The approach was applied to assess closed-loop cardiorespiratory interactions between heart period (HP) variability and respiration (R) during a controlled respiration (CR) protocol in 19 healthy humans (aged from 27 to 35 yrs, 11 females) and during active standing (STAND) in 25 athletes (aged from 20 to 40 yrs, all men) and 25 non-athletes (aged from 20 to 40 yrs, all men). Over simulated NBAR processes, we found that (i) the SSC approach can detect the correct causal relationship as the direction leads to better KNNCP from the past of the driver to the future state of the target and (ii) simulations suggest that the ability of the method is preserved in any condition of complexity of the interacting series. Over CR and STAND protocols, we found that (a) slowing the breathing rate increases the strength of the causal relationship in both temporal directions in a balanced modality; (b) STAND is more powerful in modulating the coupling strength on the pathway from HP to R; (c) regardless of protocol and experimental condition, the strength of the link from HP to R is stronger than that from R to HP; (d) significant causal relationships in both temporal directions are found regardless of the level of complexity of HP variability and R. The SSC strategy is useful to disentangle closed-loop cardiorespiratory interactions.
DOI: 10.15468/dl.7gykby
title: Occurrence Download

description: A dataset containing 1065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-40.75072 26.88208,71.68554 26.88208,71.68554 71.88208,-40.75072 71.88208,-40.75072 26.88208))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelecanus rufescens Gmelin, 1789"
 ]
}

 The dataset includes 1065 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017710-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14771122
title: Supplemental Material for Whom Do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation

description: This is the data for the survey paper Whom Do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation. It contains a list of 1012 articles published between 2017 and 2022 that either propose an interpretable or explainable recommender system or evaluate explanations in a recommendation scenario. These articles are categorized by the evaluation methodology of the explanations (tab: All Papers).The tab Surveyed Papers list the subset of the articles that evaluated their explanations with a user study and tested the results for statistical significance. From this subset of articles, we extracted the findings of evaluations in which the impact of user characteristics on the effect of an explanation was measured along with the application domain, the explanation modality, the explanation generation approach, and the type of recommender system (tab: Effects on User). We additionally extracted and categorized all reported information on the participants of the user studies (tab: Evaluated Participants). The tab List of Evaluated Traits is an overview of the categorization of the user characteristics that were evaluated.
DOI: 10.5281/zenodo.14771123
title: Supplemental Material for Whom Do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation

description: This is the data for the survey paper Whom Do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation. It contains a list of 1012 articles published between 2017 and 2022 that either propose an interpretable or explainable recommender system or evaluate explanations in a recommendation scenario. These articles are categorized by the evaluation methodology of the explanations (tab: All Papers).The tab Surveyed Papers list the subset of the articles that evaluated their explanations with a user study and tested the results for statistical significance. From this subset of articles, we extracted the findings of evaluations in which the impact of user characteristics on the effect of an explanation was measured along with the application domain, the explanation modality, the explanation generation approach, and the type of recommender system (tab: Effects on User). We additionally extracted and categorized all reported information on the participants of the user studies (tab: Evaluated Participants). The tab List of Evaluated Traits is an overview of the categorization of the user characteristics that were evaluated.
DOI: 10.5281/zenodo.14168816
title: Photoemission electron microscopy of exciton-polaritons in thin WSe2 waveguides

description: The Readme pdf-file contains a description of the uploaded datasets.
DOI: 10.5281/zenodo.14809726
title: Photoemission electron microscopy of exciton-polaritons in thin WSe2 waveguides

description: The Readme pdf-file contains a description of the uploaded datasets.
DOI: 10.5281/zenodo.14168815
title: Photoemission electron microscopy of exciton-polaritons in thin WSe2 waveguides

description: The Readme pdf-file contains a description of the uploaded datasets.
DOI: 10.5281/zenodo.14809144
title: Falsifying computational models of endothelial cell network formation through quantitative comparison with in vitro models

description: Microscopy time-lapses and simulation data needed to reproduce the results from the manuscript “Falsifying computational models of endothelial cell network formation through quantitative comparison with in vitro models”by T.M. Vergroesen, V. Vermeulen and R.M.H. Merks



"Figure 1":  This folder contains phase contrast time-lapses of endothelial network formation in subfolder "Data" and the image analysis output in subfolder "Output" which can be used to generate results of figure 1 of the paper

"Figure 2": This folder contains all simulation data in subfolder "Data" and the image analysis output in subfolder "Output" which can be used to generate results of figure 2 of the paper

"Figure 3":  This folder contains phase contrast time-lapsesin subfolder "Data" and the image analysis output in subfolder "Output" which can be used to generate results of figure 3 of the paper

"Figure 4": This folder contains all simulation data in subfolder "Data" and the image analysis output in subfolder "Output" which can be used to generate results of figure 4 of the paper
DOI: 10.5281/zenodo.14809145
title: Falsifying computational models of endothelial cell network formation through quantitative comparison with in vitro models

description: Microscopy time-lapses and simulation data needed to reproduce the results from the manuscript “Falsifying computational models of endothelial cell network formation through quantitative comparison with in vitro models”by T.M. Vergroesen, V. Vermeulen and R.M.H. Merks



"Figure 1":  This folder contains phase contrast time-lapses of endothelial network formation in subfolder "Data" and the image analysis output in subfolder "Output" which can be used to generate results of figure 1 of the paper

"Figure 2": This folder contains all simulation data in subfolder "Data" and the image analysis output in subfolder "Output" which can be used to generate results of figure 2 of the paper

"Figure 3":  This folder contains phase contrast time-lapsesin subfolder "Data" and the image analysis output in subfolder "Output" which can be used to generate results of figure 3 of the paper

"Figure 4": This folder contains all simulation data in subfolder "Data" and the image analysis output in subfolder "Output" which can be used to generate results of figure 4 of the paper
DOI: 10.5281/zenodo.14811988
title: Data regarding the manuscript: CMOS-Compatible Bias-Tunable Dual-Band Detector Based on GeSn/Ge/Si Coupled Photodiodes
DOI: 10.5281/zenodo.14811989
title: Data regarding the manuscript: CMOS-Compatible Bias-Tunable Dual-Band Detector Based on GeSn/Ge/Si Coupled Photodiodes
DOI: 10.5281/zenodo.14803121
title: Testing Rmarkdown with Spotify dataset example

description: This dataset was reply from the OpenScience Course of the university of Cádiz (Original: https://www.kaggle.com/datasets/leonardopena/top-spotify-songs-from-20102019-by-year/)Dataset Overview:

The dataset contains 603 records and 15 columns, representing the most successful Spotify songs from 2010 to 2019. It includes song attributes such as tempo, energy, danceability, loudness, and popularity.

Metadata Description:Column Name    DescriptionUnnamed: 0    An index column (can be ignored).title    The title of the song.artist    The name of the artist who performed the song.top genre    The primary genre of the song.year    The year the song was released.bpm    The beats per minute (tempo) of the song.nrgy    The energy level of the song (0-100), where higher values indicate more energetic songs.dnce    The danceability of the song (0-100), where higher values indicate a more danceable track.dB    The loudness of the song in decibels (dB).live    The liveness score (0-100), indicating the presence of a live audience.val    The valence score (0-100), representing the mood of the song (higher values mean happier and more positive songs).dur    The duration of the song in seconds.acous    The acousticness score (0-100), where higher values indicate a more acoustic sound.spch    The speechiness score (0-100), measuring spoken words in the track.pop    The popularity score (0-100), where higher values indicate a more popular song.

This dataset is useful for analyzing trends in song characteristics over time, such as the evolution of tempo, loudness, and energy levels in popular music.
DOI: 10.5281/zenodo.14803122
title: Testing Rmarkdown with Spotify dataset example

description: This dataset was reply from the OpenScience Course of the university of Cádiz (Original: https://www.kaggle.com/datasets/leonardopena/top-spotify-songs-from-20102019-by-year/)Dataset Overview:

The dataset contains 603 records and 15 columns, representing the most successful Spotify songs from 2010 to 2019. It includes song attributes such as tempo, energy, danceability, loudness, and popularity.

Metadata Description:Column Name    DescriptionUnnamed: 0    An index column (can be ignored).title    The title of the song.artist    The name of the artist who performed the song.top genre    The primary genre of the song.year    The year the song was released.bpm    The beats per minute (tempo) of the song.nrgy    The energy level of the song (0-100), where higher values indicate more energetic songs.dnce    The danceability of the song (0-100), where higher values indicate a more danceable track.dB    The loudness of the song in decibels (dB).live    The liveness score (0-100), indicating the presence of a live audience.val    The valence score (0-100), representing the mood of the song (higher values mean happier and more positive songs).dur    The duration of the song in seconds.acous    The acousticness score (0-100), where higher values indicate a more acoustic sound.spch    The speechiness score (0-100), measuring spoken words in the track.pop    The popularity score (0-100), where higher values indicate a more popular song.

This dataset is useful for analyzing trends in song characteristics over time, such as the evolution of tempo, loudness, and energy levels in popular music.
DOI: 10.5281/zenodo.14823835
title: The Appraisal of Adults with Congenital Heart Disease Lesson from Comparison of Surgical Outcomes

description: Abstract



The population of adults with congenital heart disease (ACHD) is constantly growing. There seems to be a consensus that these patients are difficult to manage especially if compared to patients with acquired heart disease. The aim of this study is to compare outcomes and results of cardiac surgery in ACHD patients with a reference population of adults with acquired cardiac disease. Retrospective study of 5053 consecutive patients older than 18 years hospitalized for cardiac surgery during a 5-years period in our Institution. Two groups of patients were identified. Group I: 419 patients operated for congenital heart disease; Group II: 4634 patients operated for acquired heart disease. In each Group were identified low, medium, and high-risk patients, according to validated scores. Right ventricular outflow tract surgery was the most frequent procedure in Group I, while coronary artery by-pass grafting was the most common in Group II. Patients with ACHD were younger (37.8 vs. 67.7 years), with higher number of previous operations (32.1% vs. 6.9%), had longer post-ICU hospital stay (11 vs. 8 days) but had lower ICU stay (1 vs. 2 days), shorter assisted mechanical ventilation (12 vs. 14 h) and lower surgical mortality (1 vs. 3.7%) (all p < 0.001). No differences were found in term of post-operative complications (12.4 vs. 15%). The surgical treatment of ACHD patients can be done with excellent results and if compared with acquired cardiac disease patients they have better results with shorter ICU stay and lower mortality.