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

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus abscondita C.C.Berg"
 ]
}

 The dataset includes 34 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048243-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12533309
title: Data and code for Bauer et al. (2024) J Veg Sci

description: Data and code of for:

Bauer M, Huber J, Kollmann J (2024) Beta diversity of restored river dike grasslands is strongly influenced by uncontrolled spatio-temporal variability. – Journal of Vegetation Science 35, e13293. https://doi.org/10.1111/jvs.13293

GitHub README
DOI: 10.5281/zenodo.6107807
title: Data and code for Bauer et al. (submitted) Restored dike grasslands

description: <strong>Beta diversity of restored grasslands</strong> Markus Bauer , Jakob Huber, and Johannes Kollmann <strong>Content of the repository</strong> <strong>Data</strong>: the folder <code>data</code> contains <code>Raw</code> and <code>processed</code> data of the sites variables (.csv) <code>Raw</code> and <code>processed</code> data of the species' abundances (.csv) <code>Raw</code> and <code>processed</code> data of the species' traits (.csv) Raw data of monthly <code>temperature</code> and <code>precipiation</code> data (.csv) Raw and processed <code>spatial</code> data (.shp) <code>photos</code> of the plots (.jpg) <strong>Outputs</strong>: the folder <code>outputs</code> contains The <code>figures</code> (.tiff) generated The <code>tables</code> (.png) generated The <code>statistics</code> tables from the principal component analyses (.csv) <strong>R</strong>: the folder <code>R</code> contains Scripts to calculate all models (.R) Scripts to generate all figures and tables (.R) When using the <strong>data available</strong> in this repository, please cite the original publication and the dataset. Contact markus1.bauer@tum.de for any further information.
DOI: 10.5281/zenodo.6334100
title: Data and code for Bauer et al. (submitted): Restored dike grasslands

description: <strong>Beta diversity of restored grasslands is strongly influenced by uncontrolled spatio-temporal variability </strong> Markus Bauer , Jakob Huber, and Johannes Kollmann <strong>Content of the repository</strong> <strong>Data</strong>: the folder <code>data</code> contains <code>Raw</code> and <code>processed</code> data of the sites variables (.csv) <code>Raw</code> and <code>processed</code> data of the species' abundances (.csv) <code>Raw</code> and <code>processed</code> data of the species' traits (.csv) Raw data of monthly <code>temperature</code> and <code>precipiation</code> data (.csv) Raw and processed <code>spatial</code> data (.shp) <code>photos</code> of the plots (.jpg) <strong>Outputs</strong>: the folder <code>outputs</code> contains The <code>figures</code> (.tiff) generated The <code>tables</code> (.png) generated The <code>statistics</code> tables from the principal component analyses (.csv) <strong>R</strong>: the folder <code>R</code> contains Scripts to calculate all models (.R) Scripts to generate all figures and tables (.R) When using the <strong>data available</strong> in this repository, please cite the original publication and the dataset. Contact markus1.bauer@tum.de for any further information.
DOI: 10.5281/zenodo.7096205
title: Data and code for Bauer et al. (submitted)

description: Beta diversity of restored river dike grasslands is strongly influenced by uncontrolled spatio-temporal variability <em>Markus Bauer , Jakob Huber, and Johannes Kollmann </em> Content of the repository <strong>Data</strong>: the folder <code>data</code> contains <code>Raw</code> and <code>processed</code> data of the sites variables (.csv) <code>Raw</code> and <code>processed</code> data of the species' abundances (.csv) <code>Raw</code> and <code>processed</code> data of the species' traits (.csv) Raw data of monthly <code>temperature</code> and <code>precipiation</code> data (.csv) Raw and processed <code>spatial</code> data (.shp) <code>photos</code> of the plots (.jpg) <strong>Outputs</strong>: the folder <code>outputs</code> contains The <code>figures</code> (.tiff) generated The <code>tables</code> (.png) generated The <code>statistics</code> tables from the principal component analyses (.csv) <strong>R</strong>: the folder <code>R</code> contains Scripts to calculate all models (.R) Scripts to generate all figures and tables (.R) Metadata script for creating EML file Folder for calculating habitat types (ESY) When using the <strong>data available</strong> in this repository, please cite the original publication and the dataset. Contact markus1.bauer@tum.de for any further information.
DOI: 10.5281/zenodo.7551403
title: Data and code of Bauer et al. (2023) EcoEvoRxiv (Danube dikes)

description: Data and code of for: Bauer M, Huber J, Kollmann J (2023) Beta diversity of restored river dike grasslands is strongly influenced by uncontrolled spatio-temporal variability. – <em>EcoEvoRxiv</em>. DOI: 10.32942/X2959J GitHub README
DOI: 10.5281/zenodo.12737137
title: Supporting information - Enhancing the stability of soybean oil: using endogenous phenolic compounds additive and carnosic acid plus carnosol

description: Table S1, displays regular soybean oil (SO) characterization, table S2 provides the calibration curves of tocopherol, carnosic acid, and carnosol mg/l, table S3 shows the matrix concentration of nine binary combinations in RBD oil, and Table S4 presents Oxidative kinetic parameters of soybean oil at different antioxidants combinations. In addition, figure S1 displays a Liquid chromatogram of carnosic acid and carnosol. Figure S2: Cluster analysis results of the nine independent dose combinations of carnosic acid plus carnosol and tocopherol. Figure S3: Liquid chromatogram of tocopherols.
DOI: 10.5281/zenodo.12737138
title: Supporting information

description: Table S1, displays regular soybean oil (SO) characterization, table S2 provides the calibration curves of tocopherol, carnosic acid, and carnosol mg/l, table S3 shows the matrix concentration of nine binary combinations in RBD oil, and Table S4 presents Oxidative kinetic parameters of soybean oil at different antioxidants combinations. In addition, figure S1 displays a Liquid chromatogram of carnosic acid and carnosol. Figure S2: Cluster analysis results of the nine independent dose combinations of carnosic acid plus carnosol and tocopherol. Figure S3: Liquid chromatogram of tocopherols.
DOI: 10.5281/zenodo.13220570
title: Supporting information - Enhancing the stability of soybean oil: using endogenous phenolic compounds additive and carnosic acid plus carnosol

description: Table S1, displays regular soybean oil (SO) characterization, table S2 provides the calibration curves of tocopherol, carnosic acid, and carnosol mg/l, table S3 shows the matrix concentration of nine binary combinations in RBD oil, and Table S4 presents Oxidative kinetic parameters of soybean oil at different antioxidants combinations. In addition, figure S1 displays a Liquid chromatogram of carnosic acid and carnosol. Figure S2: Cluster analysis results of the nine independent dose combinations of carnosic acid plus carnosol and tocopherol. Figure S3: Liquid chromatogram of tocopherols.
DOI: 10.15468/dl.zqfaqc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.864816 -35.978232, 146.864816 -35.987215, 146.867062 -35.987215, 146.867062 -35.978232, 146.864816 -35.978232))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048245-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13220545
title: Toward multimodal information and AI interaction: a quasi-experiment with ChatGPT

description: The development of argumentative text and information comprehension (CoI) skills related to the critical reconstruction of meaning (CT) is crucial in undergraduate education. Especially now in the era of social media and AI-mediated information. Generative AI aids in information creation, but its unconscious use can complicate complex information navigation. Argument maps (AM), commonly used for analyzing analog and static texts, can help visualize, understand, and rework multimodal and dynamic arguments and information.

Stemming from the Vygotskian idea, our study used a design-based research approach on the use of AMs and ChatGPT as socio-technical artifacts to stimulate and support the understanding of information (CoI) and thus the development of critical thinking (CT). The workshop introduced the multimodal element through a 3-group quasi-experiment. The first group dealt with fully analog texts, the second group used maps with multimodal textual modes, and the third group only interacted with ChatGPT. The research focused on comparing the three groups and focusing on the two experimental groups (experimental macro-focus). 

The research had three main objectives: 1) to test whether AMs improved students' CoI enhancement and critical processing (CT); 2) to determine whether interaction with ChatGPT supported information reprocessing and critical construction of opinions and assessment tools; and 3) to determine whether interaction with ChatGPT alone, without AMs, still fostered greater integration of information and viewpoints.

Our preliminary analysis showed that AMs improved students' CoI and CT, especially when exposed to multimodal information. ChatGPT interaction increased critical reflection and awareness of AI's role in education. Students using only ChatGPT performed well in argumentative reworking, suggesting that interaction with the chatbot can be effective. However, integrating AMs and ChatGPT could provide optimal support for comprehension and critical thinking skills.

This Zenodo record follows the full analysis process with R (https://cran.r-project.org/bin/windows/base/ ) and Nvivo (https://lumivero.com/products/nvivo/) composed of the following datasets, script and results:

1. Comprehension of Text and AMs Results - Arg_Map.xlsx

2. Critical Thinking level - CriThink.xlsx

3. Descriptive and Inferential Statistics Comprehension and Critical Thinking - Preliminary Analysis.R

4. Elaboration and Integration Opinion - Opi_G1.xlsx; Opi_G2.xlsx & Opi_G3.xlsx

5. Descriptive and Inferential Statistics Opinion level - Preliminary Analysis_opi.R

6. Sentiment Analysis - Sentiment Analysis.R

7. Vocabulary Frequent words - Vocabulary.csv

8. Codebook qualitative Analysis with Nvivo (Codebook.xlsx)

9. Results Nvivo Analysis G1 & G2 - Codebook-ChatGPT_G1&G2.docx

 

Any comments or improvements are welcome!
DOI: 10.5281/zenodo.13220546
title: Toward multimodal information and AI interaction: a quasi-experiment with ChatGPT

description: The development of argumentative text and information comprehension (CoI) skills related to the critical reconstruction of meaning (CT) is crucial in undergraduate education. Especially now in the era of social media and AI-mediated information. Generative AI aids in information creation, but its unconscious use can complicate complex information navigation. Argument maps (AM), commonly used for analyzing analog and static texts, can help visualize, understand, and rework multimodal and dynamic arguments and information.

Stemming from the Vygotskian idea, our study used a design-based research approach on the use of AMs and ChatGPT as socio-technical artifacts to stimulate and support the understanding of information (CoI) and thus the development of critical thinking (CT). The workshop introduced the multimodal element through a 3-group quasi-experiment. The first group dealt with fully analog texts, the second group used maps with multimodal textual modes, and the third group only interacted with ChatGPT. The research focused on comparing the three groups and focusing on the two experimental groups (experimental macro-focus). 

The research had three main objectives: 1) to test whether AMs improved students' CoI enhancement and critical processing (CT); 2) to determine whether interaction with ChatGPT supported information reprocessing and critical construction of opinions and assessment tools; and 3) to determine whether interaction with ChatGPT alone, without AMs, still fostered greater integration of information and viewpoints.

Our preliminary analysis showed that AMs improved students' CoI and CT, especially when exposed to multimodal information. ChatGPT interaction increased critical reflection and awareness of AI's role in education. Students using only ChatGPT performed well in argumentative reworking, suggesting that interaction with the chatbot can be effective. However, integrating AMs and ChatGPT could provide optimal support for comprehension and critical thinking skills.

This Zenodo record follows the full analysis process with R (https://cran.r-project.org/bin/windows/base/ ) and Nvivo (https://lumivero.com/products/nvivo/) composed of the following datasets, script and results:

1. Comprehension of Text and AMs Results - Arg_Map.xlsx

2. Critical Thinking level - CriThink.xlsx

3. Descriptive and Inferential Statistics Comprehension and Critical Thinking - Preliminary Analysis.R

4. Elaboration and Integration Opinion - Opi_G1.xlsx; Opi_G2.xlsx & Opi_G3.xlsx

5. Descriptive and Inferential Statistics Opinion level - Preliminary Analysis_opi.R

6. Sentiment Analysis - Sentiment Analysis.R

7. Vocabulary Frequent words - Vocabulary.csv

8. Codebook qualitative Analysis with Nvivo (Codebook.xlsx)

9. Results Nvivo Analysis G1 & G2 - Codebook-ChatGPT_G1&G2.docx

 

Any comments or improvements are welcome!
DOI: 10.5281/zenodo.13220621
title: CLDF dataset derived from Nagano and Prins' "rGyalrongic Languages Database" from 2013

description: Cite the source of the dataset as:




Nagano, Yasuhiko and Prins, Marielle (2013): rGyalrongic Languages Database. Osaka: National Museum of Ethnology.
DOI: 10.5281/zenodo.2634451
title: lexibank/naganorgyalrongic: rGyalrongic Languages Database

description: Cite the source dataset as


Nagano, Yasuhiko and Prins, Marielle (eds.). 2013. rGyalrongic Languages Database. Minpaku.
DOI: 10.5281/zenodo.2637724
title: CLDF dataset derived from Nagano and Prins' "rGyalrongic Languages Database" from 2013

description: Cite the source dataset as Nagano, Yasuhiko and Prins, Marielle (eds.). 2013. rGyalrongic Languages Database. Minpaku.
DOI: 10.5281/zenodo.3268562
title: lexibank/naganorgyalrongic: rGyalrongic Languages Database

description: Cite the source dataset as


Nagano, Yasuhiko and Prins, Marielle (eds.). 2013. rGyalrongic Languages Database. Minpaku.
DOI: 10.5281/zenodo.5126458
title: CLDF dataset derived from Nagano and Prins' "rGyalrongic Languages Database" from 2013

description: Cite the source of the dataset as: Nagano, Yasuhiko and Prins, Marielle (2013): rGyalrongic Languages Database. Osaka: National Museum of Ethnology.
DOI: 10.5281/zenodo.2634450
title: CLDF dataset derived from Nagano and Prins' "rGyalrongic Languages Database" from 2013

description: Cite the source of the dataset as:




Nagano, Yasuhiko and Prins, Marielle (2013): rGyalrongic Languages Database. Osaka: National Museum of Ethnology.
DOI: 10.15468/dl.hk39zp
title: Occurrence Download

description: A dataset containing 4547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Latvia, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron periclymenoides (Michx.) Shinners",
 "Year 1850-2024"
 ]
}

 The dataset includes 4547 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048244-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89eres
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.294771 -32.483769, 149.294771 -32.490506, 149.301508 -32.490506, 149.301508 -32.492752, 149.303754 -32.492752, 149.303754 -32.497243, 149.308246 -32.497243, 149.308246 -32.490506, 149.303754 -32.490506, 149.303754 -32.48826, 149.297017 -32.48826, 149.297017 -32.483769, 149.294771 -32.483769))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048246-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.7875105
title: ESA WorldCereal 10 m 2021 v100

description: ESA WorldCereal 2021 products v100

The European Space Agency (ESA) WorldCereal 10m 2021 product suite consist of global-scale annual and seasonal crop maps and (where applicable) their related confidence. Every file in this repository contains up to 106 agro-ecological zone (AEZ) products which were all processed with respect to their own regional seasonality and should be considered as independent products.

Naming convention of the ZIP files is as follows:

WorldCereal_{year}_{season}_{product}_{classification|confidence}.zip

The actual AEZ-based GeoTIFF files inside each ZIP are named according to following convention:

{AEZ_id}_{season}_{product}_{startdate}_{enddate}_{classification|confidence}.tif

The seasons are defined in Table 1. Note that cereals as described by WorldCereal include wheat, barley and rye, which belong to the Triticeae tribe. Next to the actual WorldCereal products, this repository contains the files "WorldCereal_AEZ.geojson" that contains the AEZ description and outline, as well as "QGIS_stylefiles.zip" which contains QGIS style files (.qml) for product visualization purposes.




Season
Description




tc-annual
A one-year cycle being defined in a region by the end of the last considered growing season


tc-wintercereals
The main cereals season defined in a region


tc-springcereals
Optional springcereals season, only defined in certain AEZ


tc-maize-main
The main maize season defined in a region


tc-maize-second
Optional second maize season, only defined in certain AEZ.




Note: AEZs for which no irrigation product is available were not processed because of the unavailability of thermal Landsat data.

A scientific paper describing the WorldCereal products and the methodology behind them is available through the link below:

Van Tricht, K., Degerickx, J., Gilliams, S., Zanaga, D., Battude, M., Grosu, A., Brombacher, J., Lesiv, M., Bayas, J. C. L., Karanam, S., Fritz, S., Becker-Reshef, I., Franch, B., Mollà-Bononad, B., Boogaard, H., Pratihast, A. K., Koetz, B., and Szantoi, Z.: WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping, Earth Syst. Sci. Data, 15, 5491–5515, https://doi.org/10.5194/essd-15-5491-2023, 2023.

This work was supported by the European Space Agency under contract N°4000130569/20/I-NB.
DOI: 10.15468/dl.xys55y
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus jansii Boutique"
 ]
}

 The dataset includes 34 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048247-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkez2e
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((146.878291 -35.978232, 146.882783 -35.978232, 146.882783 -35.97374, 146.878291 -35.97374, 146.878291 -35.978232)), ((146.878291 -35.978232, 146.8738 -35.978232, 146.8738 -35.980478, 146.878291 -35.980478, 146.878291 -35.978232)))"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048248-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rfb5q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.748422 -32.497243, 149.752914 -32.497243, 149.752914 -32.48826, 149.748422 -32.48826, 149.748422 -32.497243)), ((149.748422 -32.497243, 149.746177 -32.497243, 149.746177 -32.499489, 149.748422 -32.499489, 149.748422 -32.497243)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048249-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5djzym
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus oresbia C.C.Berg"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048250-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b72fda
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((30.81888 -22.56934,66.18112 -22.56934,66.18112 -8.43066,30.81888 -8.43066,30.81888 -22.56934))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jumellea punctata H.Perrier"
 ]
}

 The dataset includes 418 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048251-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqkfwm
title: Occurrence Download

description: A dataset containing 379917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Latvia)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Literature Occurrence, Specimen, Unknown evidence, Machine Observation)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2021",
 "HasCoordinate is true"
 ]
}

 The dataset includes 379917 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048222-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2wspc
title: Occurrence Download

description: A dataset containing 1437642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Corvus frugilegus Linnaeus, 1758"
 ]
}

 The dataset includes 1437642 records from 2456 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048229-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tya7q2
title: Occurrence Download

description: A dataset containing 1177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Umbraulva E.H.Bae & I.K.Lee, 2001"
 ]
}

 The dataset includes 1177 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0280587-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hvthm
title: Occurrence Download

description: A dataset listing the 144 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is BANDAPHO, BAse de DAtos sobre Aphodiidae"
 ]
}

 The dataset's 144 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007051-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.