cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14331423
title: Macro- and microplastics leachates: Characterization and impact on seed germination

description: The dataset contains information on plastic degradation, leachate physicochemical properties, UV-vis characterization, and the effects of leachates on seed germination for various plastics, studied under different incubation periods and conditions.
description: The data is split into 8 parts:

Part 1 – ESR09_31: The data set contains data about the plastic weight loss after 7 days of incubation in a rotatory shaker in water. The data is stored in file ESR09_31.csv while metadata can be found in ESR09_31.pdf.

Part 2 – ESR09_32: The data set contains data about the physicochemical properties of the leachates solutions from conventional and biodegradable plastic mulch after 7 days of incubation in water. The data is stored in file ESR09_32.csv while metadata can be found in ESR09_32.pdf.

Part 3 – ESR09_33: The data set contains data about UV–vis characterization of leachates solutions from conventional and biodegradable plastic mulch. The data is stored in file ESR09_33.csv while metadata can be found in ESR09_33.pdf.

Part 4 – ESR09_34: The data set contains data about the germination of Arabidopsis seed after treatments with leaching solution from conventional and biodegradable plastic mulches. The data is stored in file ESR09_34.csv while metadata can be found in ESR09_34.pdf.

Part 5 – ESR09_35: The data set contains data about the germination of Cotton seed after treatments with leaching solution from conventional and biodegradable plastic mulches. The data is stored in file ESR09_35.csv while metadata can be found in ESR09_35.pdf.


Part 6 – ESR09_36: The data set contains data about the germination of Tomato seeds after treatments with leaching solution from conventional and biodegradable plastic mulches. The data is stored in file ESR09_36.csv while metadata can be found in ESR09_36.pdf.

Part 7 – ESR09_37: The data set contains data about the physicochemical properties of the leachates solutions from conventional and biodegradable plastic mulch after 49days incubation in water. The data is stored in file ESR09_37.csv while metadata can be found in ESR09_37.pdf.

Part 8 – ESR09_38: The data set contains data about the plastic weight loss after 7 days of incubation in a rotatory shaker in water. The data is stored in file ESR09_38.csv while metadata can be found in ESR09_38.pdf.
DOI: 10.5281/zenodo.14359615
title: River wave surfing data for biomechanical simulation

description: This dataset contains study data from seven participants surfing at the Nuremberg river wave (in collaboration with Nürnberger Dauerwelle e.V.). Synchronized IMU data from ten sensors attached to certain body parts of the participants and joint angle predictions from human pose estimation of one camera angle (C1) can be found. The data is averaged over recurring surf cycles, depending on the number of completely tracked surf cycles. A surf cycle starts from the middle of the river wave followed by a front turn, a back turn, and returning to the middle of the wave or vice versa. The study was approved by the ethical committee of the Friedrich-Alexander-Universität Erlangen-Nürnberg (Re.-No. 22-437-B). All methods were carried out in accordance with relevant guidelines and regulations. 

The data can be used and loaded with the BioMAC Simulation Toolbox (https://github.com/mad-lab-fau/BioMAC-Sim-Toolbox).
DOI: 10.5281/zenodo.14535620
title: River wave surfing data for biomechanical simulation

description: This dataset contains study data from seven participants surfing at the Nuremberg river wave (in collaboration with Nürnberger Dauerwelle e.V.). Synchronized IMU data from ten sensors attached to certain body parts of the participants and joint angle predictions from human pose estimation of one camera angle (C1) can be found. The data is averaged over recurring surf cycles, depending on the number of completely tracked surf cycles. A surf cycle starts from the middle of the river wave followed by a front turn, a back turn, and returning to the middle of the wave or vice versa. The study was approved by the ethical committee of the Friedrich-Alexander-Universität Erlangen-Nürnberg (Re.-No. 22-437-B). All methods were carried out in accordance with relevant guidelines and regulations. 

The data can be used and loaded with the BioMAC Simulation Toolbox (https://github.com/mad-lab-fau/BioMAC-Sim-Toolbox).
DOI: 10.15468/dl.mxsbs7
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophidion rochei Müller, 1845",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 50 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044106-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13255689
title: Argumentative Skills in Higher Education: An analysis of university course Syllabus.

description: Argumentative skills are personally and professionally essential to digest complicated information (CoI) associated with the critical reconstruction of meaning (critical thinking - CT). This is a vital goal, especially in the age of social media and artificial intelligence-mediated information. Recently, the introduction of generative artificial intelligence (GenAI), particularly ChatGPT (OpenAI, 2022), has made it much simpler to collect and exchange knowledge. New tools are desperately needed to deal with the glut of post-digital information without becoming lost.

After exploring the landscape of argumentative skills and techniques for their development, an investigation of practices in use in Italian universities was undertaken. The analysis used university syllabi, which are considered key educational tools, to provide a comprehensive overview of the course to be undertaken. The syllabi contain key information such as objectives, competencies, assignments and assessment strategies. 

The research examined education science courses to understand the importance of argumentative skills, using stratified random sampling to proportionally represent all public universities with education science departments. 133 syllabi were selected through web scraping and web crawling techniques using R software (https://cran.r-project.org/bin/windows/base/), with manual addition to overcome technical limitations. 

The analysis included text mining techniques to identify documents containing keywords related to argumentative skills. These documents were then subjected to quantitative and qualitative content analysis. Biggs' (2003) "Constructive Alignment" principles were used to assess the alignment of goals, activities, and assessments in the syllabi. Categories of analysis included the detection of argumentative skills, their alignment, and connection to the course, with a focus on presence, level of treatment, and consistency of alignment.

This Zenodo record follows the full analysis process with R and Nvivo (https://lumivero.com/products/nvivo/) composed of the following datasets, script and results:

1. List of Universities with URLs - Elenco Università.xlsx

2. Web Scraping Script - WebScarping.R

3. Text Mining Script - TextMining.R

4. List of the most frequent words - Vocabulary.csv

5. Sentiment Analysis of the corpus - Sentiment Analysis.R

6. List of documents from sorting by Keywords - frasi_chiave.docx

7. Codebook qualitative Analysis with Nvivo - Codebook.xlsx

8. Results Nvivo Analysis Syllabi - Codebook-Syllabi.docx

 

Any comments or improvements are welcome!
DOI: 10.5281/zenodo.14535612
title: Supplementary Material for the Paper "Better Balancing Focused Work and Collaboration in Hybrid Teams by Cultivating the Sharing of Work Schedules"

description: Paper Abstract:

In the context of hybrid knowledge work, striking a balance between individual focused work and team collaboration remains challenging. Existing approaches often fail to provide comprehensive and accurate presence awareness, as the necessary information is scattered across multiple applications and is frequently outdated, inaccurate or unavailable. To address this challenge, we introduce FlowTeams, a technology probe designed to (a) unify and combine presence information in one place, (b) cultivate the scheduling of workdays around focused work and collaboration, and (c) provide visibility of the information} through both physical and digital presence awareness displays. In a field experiment}, we deployed FlowTeams with 48 professionals across 10 hybrid working teams over an average of 6 weeks. The analysis of the collected data shows that the approach increased} participants' awareness of their co-workers' availability, work hours and locations, and allowed them to better align their work schedules to their team's, while also structuring their workdays according to individual preferences. Furthermore, the results reveal that FlowTeams successfully mediated intrusive interruptions, enabling participants to significantly enhance their focus when necessary, while maintaining effective, yet less taxing, teamwork. Our work underscores the potential for supporting hybrid knowledge workers in negotiating a better balance between focused work and teamwork.

Pre-Print:

www.flowlabs.ch/flowteams-paper

Supplementary Material:

The Supplementary Materials contain the following PDF files:



FlowTeams_Screenshots.pdf: Additional screenshots to detail the different features and functionality of FocusedTeams.

FlowTeams_WorkSchedules_perOrganization.pdf: For comparison and as an extension of Figure 5, we provide a visualization of the total number of pre-scheduled and ad-hoc sessions visualized by session type and company as a stacked timeline across the workday.

FlowTeams_WorkSchedules_byLocation.pdf: As an extension to Section 5.1 ("Leveraging Focus Sessions" and "Leveraging Interaction Sessions), we provide a visualization of the focus and interaction sessions split by work location.

FlowTeams_Surveys.pdf: Questions asked in the Eligibility Survey, Pre-Study Survey, Pre-Intervention Survey, Post-Intervention Survey and Post-Study Survey.

FlowTeams_Self-Reports.pdf: Questions asked after completing pre-scheduled focus and interaction sessions, as well as at the end-of-workday.

FlowTeams_Interview.pdf: Semi-structured interview questions asked at the exit interview.


Software:

The software is available for teams on www.flowlabs.ch/flowteams
DOI: 10.15468/dl.btr45u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa dumalis × rubiginosa"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044107-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14535611
title: Supplementary Material for the Paper "Better Balancing Focused Work and Collaboration in Hybrid Teams by Cultivating the Sharing of Work Schedules"

description: Paper Abstract:

In the context of hybrid knowledge work, striking a balance between individual focused work and team collaboration remains challenging. Existing approaches often fail to provide comprehensive and accurate presence awareness, as the necessary information is scattered across multiple applications and is frequently outdated, inaccurate or unavailable. To address this challenge, we introduce FlowTeams, a technology probe designed to (a) unify and combine presence information in one place, (b) cultivate the scheduling of workdays around focused work and collaboration, and (c) provide visibility of the information} through both physical and digital presence awareness displays. In a field experiment}, we deployed FlowTeams with 48 professionals across 10 hybrid working teams over an average of 6 weeks. The analysis of the collected data shows that the approach increased} participants' awareness of their co-workers' availability, work hours and locations, and allowed them to better align their work schedules to their team's, while also structuring their workdays according to individual preferences. Furthermore, the results reveal that FlowTeams successfully mediated intrusive interruptions, enabling participants to significantly enhance their focus when necessary, while maintaining effective, yet less taxing, teamwork. Our work underscores the potential for supporting hybrid knowledge workers in negotiating a better balance between focused work and teamwork.

Pre-Print:

www.flowlabs.ch/flowteams-paper

Supplementary Material:

The Supplementary Materials contain the following PDF files:



FlowTeams_Screenshots.pdf: Additional screenshots to detail the different features and functionality of FocusedTeams.

FlowTeams_WorkSchedules_perOrganization.pdf: For comparison and as an extension of Figure 5, we provide a visualization of the total number of pre-scheduled and ad-hoc sessions visualized by session type and company as a stacked timeline across the workday.

FlowTeams_WorkSchedules_byLocation.pdf: As an extension to Section 5.1 ("Leveraging Focus Sessions" and "Leveraging Interaction Sessions), we provide a visualization of the focus and interaction sessions split by work location.

FlowTeams_Surveys.pdf: Questions asked in the Eligibility Survey, Pre-Study Survey, Pre-Intervention Survey, Post-Intervention Survey and Post-Study Survey.

FlowTeams_Self-Reports.pdf: Questions asked after completing pre-scheduled focus and interaction sessions, as well as at the end-of-workday.

FlowTeams_Interview.pdf: Semi-structured interview questions asked at the exit interview.


Software:

The software is available for teams on www.flowlabs.ch/flowteams
DOI: 10.15468/dl.3967cw
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aira elegans Willd., 1817"
 ]
}

 The dataset includes 77 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044108-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5yuzqd
title: Occurrence Download

description: A dataset containing 184202 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer negundo L."
 ]
}

 The dataset includes 184202 records from 1521 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044089-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s8n68jj678.1
title: FLUO-SC: a fluorescence image dataset of skin lesions collected from smartphones

description: Dataset Summary

The Fluorescence Skin Cancer (FLUO-SC) dataset was developed over approximately one year, resulting in 1,563 new samples of clinical images (CLI), captured under natural white light conditions, and 1,563 fluorescence (FLUO) samples. The fluorescence images represent endogenous, label-free autofluorescence acquired using the LINCE device (MMO, São Carlos, Brazil), provided by the Institute of Physics of the University of São Paulo (IFUSP).

The dataset collection was conducted as part of the Dermatological and Surgical Assistance Program (PAD, in Portuguese: Programa de Assistência Dermatológica e Cirúrgica), a nonprofit program at the Federal University of Espírito Santo (UFES, Brazil). The PAD program focuses on providing free treatment for skin lesions, particularly benefiting low-income individuals in rural areas.

The dataset encompasses images of six distinct skin lesion categories:

- Basal Cell Carcinoma (BCC), Squamous Cell Carcinoma (SCC), Melanoma (MEL) (biopsy-proven skin cancers);
- Actinic Keratosis (ACK), Seborrheic Keratosis (SEK), and Nevus (NEV) (non-cancerous skin diseases).

The images in the dataset vary in dimensions due to the use of different smartphone devices during acquisition. All images are provided in .jpg format.

Ethics statement

The dataset was collected along with the Dermatological and Surgical Assistance Program (PAD) of the Federal University of Espírito Santo. The program is managed by the Department of Specialized Medicine and was approved by the university ethics committee (nº 500002/478) and the Brazilian government through Plataforma Brasil (nº 4.007.097), the Brazilian agency responsible for research involving human beings. In addition, all data is collected under patient consent and the patient’s privacy is completely preserved.
DOI: 10.15468/dl.52xfjv
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophisurus serpens (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 559 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044109-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fa8ebj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa rubiginosa x vosagiaca agg."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044110-241126133413365/datasets/export for details.
DOI: 10.15468/dl.2zy3wh
title: Occurrence Download

description: A dataset containing 10443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Juglans cinerea L."
 ]
}

 The dataset includes 10443 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044111-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bchbdc
title: Occurrence Download

description: A dataset containing 1715479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Libellulidae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than 2000"
 ]
}

 The dataset includes 1715479 records from 1212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264189-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.petpf7
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Coptis chinensis Franch."
 ]
}

 The dataset includes 208 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0274902-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.debjaa
title: Occurrence Download

description: A dataset containing 3803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Ghent university - Zoology Museum - Nematod Collection"
 ]
}

 The dataset includes 3803 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016203-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eeku44
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Biarum carratracense (Willk.) Font Quer"
 ]
}

 The dataset includes 277 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171022-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwe8nc
title: Occurrence Download

description: A dataset containing 1795 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tipuana tipu (Benth.) Kuntze"
 ]
}

 The dataset includes 1795 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271896-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sy9dk8
title: Occurrence Download

description: A dataset containing 1114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cichlasoma bimaculatum (Linnaeus, 1758))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1114 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049727-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwgrda
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-110.68863 24.87305,-110.77377 24.59015,-110.74631 24.33197,-110.54031 24.1452,-110.37003 24.04083,-110.22446 24.0683,-110.21347 24.18365,-110.21896 24.34021,-110.17776 24.43085,-110.14755 24.62585,-110.21072 24.78241,-110.53482 24.90051,-110.68863 24.87305))",
 "TaxonKey is Tursiops truncatus (Montagu, 1821)"
 ]
}

 The dataset includes 51 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074843-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ef43uw
title: Occurrence Download

description: A dataset containing 4531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhododendron L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 4531 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171059-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g1nhyw
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is Colección Teriológica y Ornitológica de la Universidad Tecnológica del Chocó",
 "DatasetKey is Colección Teriológica de la Universidad Tecnológica del Chocó"
 ]
 },
 "TaxonKey is Platyrrhinus chocoensis Alberico & Velasco, 1991"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016203-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.