cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7843401
title: MuSe-Humor: Cross-Cultural Humor Detection Sub-Challenge (MuSe 2023)

description: <strong>Description</strong>: Predicting the presence of humor in football press conference recordings. Available modalities: audio and video, transcriptions. The dataset offers a cross-cultural setting: all press conferences in the training and development partition are held in German, all videos in the test partition are taken from English Premier League press conferences. <strong>Important</strong>: <strong>this package does not include the recordings themselves, please find them here</strong>: https://zenodo.org/record/7843460 <strong>Labels</strong>: windows of 2 seconds are given a binary label, indicating presence and absence of humor. At least 7 human annotators labelled each video. <strong>Dataset</strong>: MuSe-Humor is based on the Passau-Spontaneous Football Coach Humor (Passau-SFCH) dataset (paper). It includes press conference recordings of 10 different German Bundesliga football coaches collected in 2017. Moreover, for the MuSe 2023 challenge, recordings of 6 Premier League coaches have been added. The data provided here only includes segments in which the respective coach is speaking. The training data set contains recordings of 7 German-speaking coaches, development data consists of videos of 3 German-speaking coaches; and the test data set comprises recordings of 6 English-speaking coaches (one native speaker). <strong>General</strong>: The 4th Multimodal Sentiment Analysis Challenge and Workshop (MuSe) 2023 adresses research questions that are of interest to affective computing, machine learning and multimodal signal processing communities and encourages a fusion of their disciplines. The goal of the MuSe workshop and challenge is to gain new insights into the merits of each of the core modalities and to serve as a stimulating environment for the development and evaluation of multimodal affect recognition approaches.
DOI: 10.5281/zenodo.7843400
title: MuSe-Humor: Cross-Cultural Humor Detection Sub-Challenge (MuSe 2023)

description: <strong>Description</strong>: Predicting the presence of humor in football press conference recordings. Available modalities: audio and video, transcriptions. The dataset offers a cross-cultural setting: all press conferences in the training and development partition are held in German, all videos in the test partition are taken from English Premier League press conferences. <strong>Important</strong>: <strong>this package does not include the recordings themselves, please find them here</strong>: https://zenodo.org/record/7843460 <strong>Labels</strong>: windows of 2 seconds are given a binary label, indicating presence and absence of humor. At least 7 human annotators labelled each video. <strong>Dataset</strong>: MuSe-Humor is based on the Passau-Spontaneous Football Coach Humor (Passau-SFCH) dataset (paper). It includes press conference recordings of 10 different German Bundesliga football coaches collected in 2017. Moreover, for the MuSe 2023 challenge, recordings of 6 Premier League coaches have been added. The data provided here only includes segments in which the respective coach is speaking. The training data set contains recordings of 7 German-speaking coaches, development data consists of videos of 3 German-speaking coaches; and the test data set comprises recordings of 6 English-speaking coaches (one native speaker). <strong>General</strong>: The 4th Multimodal Sentiment Analysis Challenge and Workshop (MuSe) 2023 adresses research questions that are of interest to affective computing, machine learning and multimodal signal processing communities and encourages a fusion of their disciplines. The goal of the MuSe workshop and challenge is to gain new insights into the merits of each of the core modalities and to serve as a stimulating environment for the development and evaluation of multimodal affect recognition approaches.
DOI: 10.6084/m9.figshare.22332553
title: Biofortified blackberry powder results

description: Physicochemical characteristics of biofortified blacberry powder results
DOI: 10.6084/m9.figshare.22332553.v3
title: Biofortified blackberry powder results

description: Physicochemical characteristics of biofortified blacberry powder results
DOI: 10.6084/m9.figshare.22332553.v2
title: Biofortified blackberry powder results

description: Physicochemical characteristics of biofortified blacberry powder results
DOI: 10.5281/zenodo.7843581
title: Catálogo de libros físicos albergados en la Facultad de Ciencias Agropecuarias de la Universidad Técnica de Ambato (UTA)

description: Este dataset contiene información bibliográfica de libros disponibles en la biblioteca de la Facultad de Ciencias Agropecuarias de la Universidad Técnica de Ambato (UTA) e incluye título, autor, edición, idioma, año y lugar de publicación. El dataset fue creado para facilitar el análisis de la colección de la biblioteca y mejorar la gestión de los recursos disponibles.
DOI: 10.5281/zenodo.7843580
title: Catálogo de libros físicos albergados en la Facultad de Ciencias Agropecuarias de la Universidad Técnica de Ambato (UTA)

description: Este dataset contiene información bibliográfica de libros disponibles en la biblioteca de la Facultad de Ciencias Agropecuarias de la Universidad Técnica de Ambato (UTA) e incluye título, autor, edición, idioma, año y lugar de publicación. El dataset fue creado para facilitar el análisis de la colección de la biblioteca y mejorar la gestión de los recursos disponibles.
DOI: 10.21227/vqt3-qz15
title: mehdi dataset 

description: zip and czip format
DOI: 10.35078/0jdnps
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga| Município: Entre Rios de Minas

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.34740/kaggle/dsv/5449067
title: Indic multi-lingual Classification Dataset
DOI: 10.6084/m9.figshare.22654048
title: Supplementary Material – Distinct lichen community in riparian forests along an anthropogenic disturbance gradient in Southern Brazil

description: <strong>Table S1 – List of phorophytes selected for sampling of the lichen community in the riparian forest sites of the Hydrographic Basin of Sinos River, southern Brazil.</strong> <strong>Table S2 – Lichen community recorded in the riparian forest sites of the Hydrographic Basin of Sinos River, southern Brazil.</strong> <strong>Table S3 – Structural parameters of the lichen community in the riparian forest sites of the Hydrographic Basin of Sinos River, southern Brazil.</strong> <br> <strong>This Supplementary Material is part of the Original Paper published at Rodriguesia - DOI: http://dx.doi.org/10.1590/2175-7860202374032</strong>
DOI: 10.6084/m9.figshare.22654048.v1
title: Supplementary Material – Distinct lichen community in riparian forests along an anthropogenic disturbance gradient in Southern Brazil

description: <strong>Table S1 – List of phorophytes selected for sampling of the lichen community in the riparian forest sites of the Hydrographic Basin of Sinos River, southern Brazil.</strong> <strong>Table S2 – Lichen community recorded in the riparian forest sites of the Hydrographic Basin of Sinos River, southern Brazil.</strong> <strong>Table S3 – Structural parameters of the lichen community in the riparian forest sites of the Hydrographic Basin of Sinos River, southern Brazil.</strong> <br> <strong>This Supplementary Material is part of the Original Paper published at Rodriguesia - DOI: http://dx.doi.org/10.1590/2175-7860202374032</strong>
DOI: 10.15482/usda.adc/1528784
title: Data from: Site-specific management of cotton root rot using airborne and high resolution satellite imagery and variable rate technology

description: Cotton root rot is a century-old cotton disease that now can be effectively controlled with Topguard Terra fungicide. Because this disease tends to occur in the same general areas within fields in recurring years, site-specific application of the fungicide only to infested areas can be as effective as and considerably more economical than uniform application. The overall objective of this research was to demonstrate how site-specific fungicide application could be implemented based on historical remote sensing imagery and using variable-rate technology. Procedures were developed for creating binary prescription maps from historical airborne and high-resolution satellite imagery. Two different variable-rate liquid control systems were adapted to two existing cotton planters, respectively, for site-specific fungicide application at planting. One system was used for site-specific application on multiple fields in 2015 and 2016 near Edroy, Texas, and the other system was used on multiple fields in both years near San Angelo, Texas. Airborne multispectral imagery taken during the two growing seasons was used to monitor the performance of the site-specific treatments. Results based on prescription maps derived from historical airborne and satellite imagery of two fields in 2015 and one field in 2016 are reported in this article. Two years of field experiments showed that the prescription maps and the variable-rate systems performed well and that site-specific fungicide treatments effectively controlled cotton root rot. Reduction in fungicide use was 41%, 43%, and 63% for the three fields, respectively. The methodologies and results of this research will provide cotton growers, crop consultants, and agricultural dealers with practical guidelines for implementing site-specific fungicide application using historical imagery and variable-rate technology for effective management of cotton root rot.
Resources in this dataset:


Resource Title: A ground picture of cotton root rot
File Name: IMG_0124.JPG
Resource Description: A cotton root rot-infested area in a cotton field near Edroy, TX.


Resource Title: An aerial image of a cotton field
File Name: Color-infrared image of a field.jpg
Resource Description: Aerial color-infrared (CIR) image of a cotton field infested with cotton root rot.


Resource Title: As-applied fungicide application data
File Name: Jim Ermis-Farm 1-Field 11 Fungicide Application.csv
Resource Description: As-applied fungicide application rates for variable rate application of Topguard to a cotton field infested with cotton rot
DOI: 10.6084/m9.figshare.22654094
title: Proposal of a bioinformatics approach to predict molecular mechanisms involved in inflammatory response: case of ATRA and 1,25(OH)<sub>2</sub>D in adipocytes

description: Several inflammatory markers such as cytokines, chemokines, and microRNAs (miRNAs) are well known to be induced during obesity and are strongly linked to their comorbidities. Among many others factors, the micronutrient status is suspected to reduce obesity-associated inflammation via blunting inflammatory signalling pathways. This is notably the case for active forms of vitamin A (all-trans retinoic acid ATRA) and vitamin D (1,25(OH)<sub>2</sub>D) as previously shown. In the present study, we aimed to implement a new bioinformatics approach to unveil commonly regulated signalling pathways through a combination of gene and miRNA expression sets impacted by ATRA and 1,25(OH)<sub>2</sub>D in adipocytes. In a first set of experiments, we focused only our attention on ATRA and demonstrated that it reduced LPS-mediated miRNA expression (miR-146a, miR-150, and miR-155) in mouse adipose tissue, in adipocyte cultures, and in adipocyte-derived vesicles. This result was confirmed in TNFα-induced miRNA in human adipocytes. Then, bioinformatic analysis highlighted that both ATRA and 1,25(OH)<sub>2</sub>D-regulated genes and miRNA converge to the canonical ‘nuclear factor Kappa B (NF-κB) signalling pathway.’ Altogether, these results showed that ATRA has anti-inflammatory effects on miRNA expression. In addition, the proposed bioinformatic model converges to NF-κB signalling pathway that has been previously demonstrated to be regulated by ATRA and 1,25(OH)<sub>2</sub>D, thus confirming the interest of such approach.
DOI: 10.6084/m9.figshare.22654094.v1
title: Proposal of a bioinformatics approach to predict molecular mechanisms involved in inflammatory response: case of ATRA and 1,25(OH)<sub>2</sub>D in adipocytes

description: Several inflammatory markers such as cytokines, chemokines, and microRNAs (miRNAs) are well known to be induced during obesity and are strongly linked to their comorbidities. Among many others factors, the micronutrient status is suspected to reduce obesity-associated inflammation via blunting inflammatory signalling pathways. This is notably the case for active forms of vitamin A (all-trans retinoic acid ATRA) and vitamin D (1,25(OH)<sub>2</sub>D) as previously shown. In the present study, we aimed to implement a new bioinformatics approach to unveil commonly regulated signalling pathways through a combination of gene and miRNA expression sets impacted by ATRA and 1,25(OH)<sub>2</sub>D in adipocytes. In a first set of experiments, we focused only our attention on ATRA and demonstrated that it reduced LPS-mediated miRNA expression (miR-146a, miR-150, and miR-155) in mouse adipose tissue, in adipocyte cultures, and in adipocyte-derived vesicles. This result was confirmed in TNFα-induced miRNA in human adipocytes. Then, bioinformatic analysis highlighted that both ATRA and 1,25(OH)<sub>2</sub>D-regulated genes and miRNA converge to the canonical ‘nuclear factor Kappa B (NF-κB) signalling pathway.’ Altogether, these results showed that ATRA has anti-inflammatory effects on miRNA expression. In addition, the proposed bioinformatic model converges to NF-κB signalling pathway that has been previously demonstrated to be regulated by ATRA and 1,25(OH)<sub>2</sub>D, thus confirming the interest of such approach.
DOI: 10.25422/azu.data.22596040
title: Raw 2021 Flight Data for "High-altitude demonstration of LWIR polarimeter using uncooled microbolometers"

description: These materials are associated with the publication “High-altitude demonstration of LWIR polarimeter using uncooled microbolometers”. The pre-flight Zip file includes all data taken before the HAB was launched. The other Zip files include all data taken after launch. Each HDF5 file contains images from both IRCSP cameras and their FPA temperatures. The demodulation method is explained in the paper. The following Python script can be used to produce the final DoLP, AoLP, and Tb results: https://github.com/Polarization-Lab/IRCSP/blob/master/data_reduction/data_reduction.ipynb <br> <i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i> <i>This item is part of IRCSP-2021-Deployment</i>
DOI: 10.25422/azu.data.22596040.v1
title: Raw 2021 Flight Data for "High-altitude demonstration of LWIR polarimeter using uncooled microbolometers"

description: These materials are associated with the publication “High-altitude demonstration of LWIR polarimeter using uncooled microbolometers”. The pre-flight Zip file includes all data taken before the HAB was launched. The other Zip files include all data taken after launch. Each HDF5 file contains images from both IRCSP cameras and their FPA temperatures. The demodulation method is explained in the paper. The following Python script can be used to produce the final DoLP, AoLP, and Tb results: https://github.com/Polarization-Lab/IRCSP/blob/master/data_reduction/data_reduction.ipynb <br> <i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i> <i>This item is part of IRCSP-2021-Deployment</i>
DOI: 10.5281/zenodo.7843656
title: 'Chaotic micro-comb based parallel ranging' dataset and code

description: Available data and code for manuscript: "Chaotic micro-comb based parallel ranging" Arxiv version: https://arxiv.org/abs/2112.10241 Execution tested with Matlab 2020b or newer on Windows. Unzip folder to access files. Matlab figures are stored in matlab_figures folder. Raw data are stored in raw_data folder. To obtain plots from figure 2 (arXiv manuscript) execute Hilbert_freq_noise_analysis.m file. To process raw dat for figures 3,4 utilize sequential_analysis.m script. To plot point clouds of the processed data (\raw_data\fig3\analyzed_data) utilize plot_point_cloud_rmcw.m script. Comment/uncomment to change parameters for velocity/distance measurements (chess/wheel). <br> Contact anton.lukashchuk@epfl.ch if problems with matlab code arise. <br> All matlab code remains under copyright by the authors: Anton Lukashchuk, Johann Riemensberger. The code is provided solely to be used to reproduce the figures of the aforementioned paper.
DOI: 10.5281/zenodo.7843655
title: 'Chaotic micro-comb based parallel ranging' dataset and code

description: Available data and code for manuscript: "Chaotic micro-comb based parallel ranging" Arxiv version: https://arxiv.org/abs/2112.10241 Execution tested with Matlab 2020b or newer on Windows. Unzip folder to access files. Matlab figures are stored in matlab_figures folder. Raw data are stored in raw_data folder. To obtain plots from figure 2 (arXiv manuscript) execute Hilbert_freq_noise_analysis.m file. To process raw dat for figures 3,4 utilize sequential_analysis.m script. To plot point clouds of the processed data (\raw_data\fig3\analyzed_data) utilize plot_point_cloud_rmcw.m script. Comment/uncomment to change parameters for velocity/distance measurements (chess/wheel). <br> Contact anton.lukashchuk@epfl.ch if problems with matlab code arise. <br> All matlab code remains under copyright by the authors: Anton Lukashchuk, Johann Riemensberger. The code is provided solely to be used to reproduce the figures of the aforementioned paper.
DOI: 10.5281/zenodo.7843703
title: Wi-Fi (CSI and RSSI) data of six basic knife activities for cooking (chopping, cubing, French cutting, julienning, mincing, and slicing)

description: To gather the dataset, we asked two participants to perform six basic knife activities. The layout of the system experiment is provided in Fig. 4. As it illustrates, we put the receiver on the right side and the ESP32 transceiver on the left side of the performing area. The performing area is a cutting board (30 x 46 cm) in this experiment. Each participant performs each activity five times in the performing area. The data is recorded using a customized version of ESP32-CSI-tool [38] on the laptop that helps us to record and save each data in a separate file. After recording all 60 data entries, we used Python code to extract the clean data from all generated text by the tool. The clean data is stored in a database and creates the dataset.
DOI: 10.5281/zenodo.7843704
title: Wi-Fi (CSI and RSSI) data of six basic knife activities for cooking (chopping, cubing, French cutting, julienning, mincing, and slicing)

description: To gather the dataset, we asked two participants to perform six basic knife activities. The layout of the system experiment is provided in Fig. 4. As it illustrates, we put the receiver on the right side and the ESP32 transceiver on the left side of the performing area. The performing area is a cutting board (30 x 46 cm) in this experiment. Each participant performs each activity five times in the performing area. The data is recorded using a customized version of ESP32-CSI-tool [38] on the laptop that helps us to record and save each data in a separate file. After recording all 60 data entries, we used Python code to extract the clean data from all generated text by the tool. The clean data is stored in a database and creates the dataset.
DOI: 10.5281/zenodo.7843666
title: Gene expression of CD4+ T cells in the liver of SIV-infected macaques.

description: Analysis of RNA transcripts of CD4+ T cells from the liver of healthy (n=3) and SIV infected (n=3) rhesus macaques using NovaSeq 6000 flowcell S1 at the Next-Generation Sequencing Platform, Genomics Center (CHU de Québec-Université Laval Research Center, Québec City, Canada). Gene symbols and amounts of transcripts per million (TPM) are listed for each condition.
DOI: 10.5281/zenodo.7843665
title: Gene expression of CD4+ T cells in the liver of SIV-infected macaques.

description: Analysis of RNA transcripts of CD4+ T cells from the liver of healthy (n=3) and SIV infected (n=3) rhesus macaques using NovaSeq 6000 flowcell S1 at the Next-Generation Sequencing Platform, Genomics Center (CHU de Québec-Université Laval Research Center, Québec City, Canada). Gene symbols and amounts of transcripts per million (TPM) are listed for each condition.
DOI: 10.6084/m9.figshare.22654163
title: Cohesion and Repulsion in Bayesian Distance Clustering

description: Clustering in high-dimensions poses many statistical challenges. While traditional distance-based clustering methods are computationally feasible, they lack probabilistic interpretation and rely on heuristics for estimation of the number of clusters. On the other hand, probabilistic model-based clustering techniques often fail to scale and devising algorithms that are able to effectively explore the posterior space is an open problem. Based on recent developments in Bayesian distance-based clustering, we propose a hybrid solution that entails defining a likelihood on pairwise distances between observations. The novelty of the approach consists in including both cohesion and repulsion terms in the likelihood, which allows for cluster identifiability. This implies that clusters are composed of objects which have small <i>dissimilarities</i> among themselves (cohesion) and similar dissimilarities to observations in other clusters (repulsion). We show how this modeling strategy has interesting connection with existing proposals in the literature. The proposed method is computationally efficient and applicable to a wide variety of scenarios. We demonstrate the approach in simulation and an application in digital numismatics. Supplementary Material with code is available online.