cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10262606
title: Aesthetic Indigenous Forms: Generative AI Imagery Dataset

description: The past, present, and future of our city communities in the United States exist within colonization's ongoing violence - a perpetual state of lived aftermath to stolen lands, white supremacy, genocide, slavery, and anthropogenic climate change. Our land and water relations remember how we treat them with sewage, chemicals, and trash, and they influence the artistic expressions and world's of Black Philadelphia writers, philosophers, artists. The Aesthetic Indigenous Forms Dataset includes 29 generative artificial intelligence (Gen AI) images, historical research, and curatorial prose that complicates the stories of climate racism, Indigeneity, and climate change that Philadelphia's public art and environmental histories tell. This data is integrated within the Post Colonial Dreams Museum, one of two distinct, yet interconnected virtual museums in Relational Possibilities: A Remix of Aesthetic Forms Through Indigeneity and Blackness. Curated by Dana Reijerkerk, B.A., M.I.S.The Creative CoLab Project: Relational Possibilities, LEADING Fellow 2023-2024. This work is licensed under: CC BY-NC-ND 4.0.
DOI: 10.5281/zenodo.10263903
title: Aesthetic Indigenous Forms: Generative AI Imagery Dataset

description: The past, present, and future of our city communities in the United States exist within colonization's ongoing violence - a perpetual state of lived aftermath to stolen lands, white supremacy, genocide, slavery, and anthropogenic climate change. Our land and water relations remember how we treat them with sewage, chemicals, and trash, and they influence the artistic expressions and world's of Black Philadelphia writers, philosophers, artists. The Aesthetic Indigenous Forms Dataset includes 29 generative artificial intelligence (Gen AI) images, historical research, and curatorial prose that complicates the stories of climate racism, Indigeneity, and climate change that Philadelphia's public art and environmental histories tell. This data is integrated within the Post Colonial Dreams Museum, one of two distinct, yet interconnected virtual museums in Relational Possibilities: A Remix of Aesthetic Forms Through Indigeneity and Blackness. Curated by Dana Reijerkerk, B.A., M.I.S.The Creative CoLab Project: Relational Possibilities, LEADING Fellow 2023-2024. This work is licensed under: CC BY-NC-ND 4.0.
DOI: 10.5281/zenodo.10262155
title: Authentic Benefits of Packaging Traditional Dances as a Tourism Attraction in Tanzania

description: In the modern society tourism has gained popularity as a tool for socio economic development of the local community. Local community members have become innovative in packaging their cultural elements such as folk dances. The gaze for dancing creates great opportunities for tourism performers. Dance tourism is discussed as travel for the purpose of learning an important national role as well as enjoying great opportunity among the local community. Dance involves anatomical movements as well as partner interactions and their association to each other and music is art. It explores the communicative, physical, mental, emotional and artistic aspects of dance as a medium of human expression and interaction. To dance is to move rhythmically to music, typically following a set sequence of steps. Traditional dance (often called folk dances in the west) is defined as any local dancing tradition, often strongly connected with local musical forms and/or local beliefs. It reflects the life of the people of certain or region. This study applies the philosopher's dance theory which states that dance contributes to aesthetic, moral and intellectual values as well as enhancing physical adeptness and overall wellbeing. The rich culture of Tanzania is the key motive of analyzing the potential benefits that can arise as a result of packaging traditional dances by the residents in order to diversify the already existing forms of tourism. Methodologically, this research depended on review of relevant literature on the authentic benefits of traditional dances and tourism attraction. Conclusions and recommendations were drawn from the review findings and discussions.  
Key words: Authentic benefits, Traditional dances, Tourism attraction
DOI: 10.6084/m9.figshare.24747531
title: SERS spectra of 43 patients with ACS.xlsx

description: The dataset contains 43 spectra of patients with ACS
DOI: 10.5281/zenodo.10251451
title: Base segundo año 13_14 Validación SEQ EDU2012-32725

description: Base de datos de resultados obtenidos de una muestra de 805 sujetos de tres universidades de la ciudad de Valencia: Universitat de Valènica, Universitat Politècnica de València y Universidad Católica de Valencia.
Esta muestra se utilizó para la validación del cuestionario SEQ (Study Engagement Questionnaire, de Kember y Leung (2005) en población española.
La base de datos, en SPSS, está integrada por 23 variables:  Universidad, Rama, Titulación, Curso, Sexo, Edad, PsCrit (Pensamiento crítico), PesCrea  (Pensamiento creativo), AprenAut  (Aprendizaje autogestionado), Adapt (Adaptabilidad),  Respro (Resolución de problemas), HabCom (Habilidades de comunicación), HabIn (Habilidades intergrupales), ManTec (Manejo nuevas tecnologías), AprenAct (Aprendizaje activo), EnCom (Enseñanza para la comprensión), Feedback (Feedback aprendizaje),  Evaluación (Evaluación), RelProAl (Relación profesor-alumno), CarTrab (Carga de trabajo), RelEst (Relación con otros estudiantes), AprenCoop (Aprendizaje cooperativo), Coherencia (Coherencia plan de estudios)
Aviso: a partir de la variable Edad, se ha incluido el Nombre de la variable y la Etiqueta de la variable
DOI: 10.5281/zenodo.10251452
title: Base segundo año 13_14 Validación SEQ EDU2012-32725

description: Base de datos de resultados obtenidos de una muestra de 805 sujetos de tres universidades de la ciudad de Valencia: Universitat de Valènica, Universitat Politècnica de València y Universidad Católica de Valencia.
Esta muestra se utilizó para la validación del cuestionario SEQ (Study Engagement Questionnaire, de Kember y Leung (2005) en población española.
La base de datos, en SPSS, está integrada por 23 variables:  Universidad, Rama, Titulación, Curso, Sexo, Edad, PsCrit (Pensamiento crítico), PesCrea  (Pensamiento creativo), AprenAut  (Aprendizaje autogestionado), Adapt (Adaptabilidad),  Respro (Resolución de problemas), HabCom (Habilidades de comunicación), HabIn (Habilidades intergrupales), ManTec (Manejo nuevas tecnologías), AprenAct (Aprendizaje activo), EnCom (Enseñanza para la comprensión), Feedback (Feedback aprendizaje),  Evaluación (Evaluación), RelProAl (Relación profesor-alumno), CarTrab (Carga de trabajo), RelEst (Relación con otros estudiantes), AprenCoop (Aprendizaje cooperativo), Coherencia (Coherencia plan de estudios)
Aviso: a partir de la variable Edad, se ha incluido el Nombre de la variable y la Etiqueta de la variable
DOI: 10.34740/kaggle/dsv/7131770
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.5281/zenodo.10263909
title: Martinique ORSTOM-DIREN Rainfall Dataset

description: Description: The Martinique ORSTOM-DIREN Rainfall Dataset is a compiled record of historical rainfall data in Martinique (French West Indies). Spanning from 1956 to 2004, this dataset encapsulates 237,000+ daily rainfall measurements from 27 stations managed by the ORSTOM (now IRD, Institut de Recherche pour le Développement, France) and the DIREN (Direction Régionale de l'Environnement, now DEAL), Martinique. It was rescued from the depths of the internet, specifically from the now-defunct DIREN Martinique website, using a snapshot from the Internet Archive's Wayback Machine dated December 3rd, 2008. Given its original public service provision, we believe in the importance of preserving and sharing this data freely under an open license.
Data Sources: The dataset is derived solely from the DIREN Martinique website as archived by the Internet Archive on December 3rd, 2008. This source provides an invaluable historical record of Martinique's climate data.
Dataset Preparation Methods: The original Excel files were retrieved and extensively reformatted. Days with imputed values were omitted to ensure the dataset reflects observed values only. This curation process was aimed at maintaining the integrity and reliability of the data for accurate climatological analysis.
Discussion: The Martinique ORSTOM-DIREN dataset is a crucial resource for understanding historical rainfall patterns in Martinique. However, users should note that all imputed values have been removed for data purity, which may result in some gaps in the record. Despite this, the dataset remains a rich source of historical climatological data.
Description of files:

ORSTOM_DIREN_rainfall.csv: primary dataset file ; it includes comprehensive rainfall data with fields such as station code, station name, year, date, and recorded rainfall in mm.
ORSTOM_DIREN_stations.csv: detailed descriptions of the rainfall stations ; includes station codes, names, coordinates reprojected in WGS84, and altitude.
salvaged_data.zip: This archive contains all the original data files as they were salvaged. It includes a link to the Wayback Machine snapshot used for data retrieval and a screenshot of the snapshot at the time of data retrieval. Additionally, the archive contains original geopackages in ESRI and MAPINFO formats, providing valuable geographic information system (GIS) data.
Access to Dataset: True to the dataset's heritage of open access, the Martinique ORSTOM-DIREN dataset is freely available to all. This open license allows researchers, meteorologists, and interested individuals to explore and utilize this data for various climatological and environmental studies, enriching our understanding of Martinique's environmental history.
Authors Contributions:

Original data collection: ORSTOM (now IRD, Institut de recherche pour le développement) and DIREN (Direction Régionale de l'Environnement), Martinique.
Data curation: Jérémy Lavarenne
Funding: This project was undertaken without specific funding.
Changelog:

v1.0.0: Initial compilation of the dataset.
DOI: 10.5281/zenodo.10263910
title: Martinique ORSTOM-DIREN Rainfall Dataset

description: Description: The Martinique ORSTOM-DIREN Rainfall Dataset is a compiled record of historical rainfall data in Martinique (French West Indies). Spanning from 1956 to 2004, this dataset encapsulates 237,000+ daily rainfall measurements from 27 stations managed by the ORSTOM (now IRD, Institut de Recherche pour le Développement, France) and the DIREN (Direction Régionale de l'Environnement, now DEAL), Martinique. It was rescued from the depths of the internet, specifically from the now-defunct DIREN Martinique website, using a snapshot from the Internet Archive's Wayback Machine dated December 3rd, 2008. Given its original public service provision, we believe in the importance of preserving and sharing this data freely under an open license.
Data Sources: The dataset is derived solely from the DIREN Martinique website as archived by the Internet Archive on December 3rd, 2008. This source provides an invaluable historical record of Martinique's climate data.
Dataset Preparation Methods: The original Excel files were retrieved and extensively reformatted. Days with imputed values were omitted to ensure the dataset reflects observed values only. This curation process was aimed at maintaining the integrity and reliability of the data for accurate climatological analysis.
Discussion: The Martinique ORSTOM-DIREN dataset is a crucial resource for understanding historical rainfall patterns in Martinique. However, users should note that all imputed values have been removed for data purity, which may result in some gaps in the record. Despite this, the dataset remains a rich source of historical climatological data.
Description of files:

ORSTOM_DIREN_rainfall.csv: primary dataset file ; it includes comprehensive rainfall data with fields such as station code, station name, year, date, and recorded rainfall in mm.
ORSTOM_DIREN_stations.csv: detailed descriptions of the rainfall stations ; includes station codes, names, coordinates reprojected in WGS84, and altitude.
salvaged_data.zip: This archive contains all the original data files as they were salvaged. It includes a link to the Wayback Machine snapshot used for data retrieval and a screenshot of the snapshot at the time of data retrieval. Additionally, the archive contains original geopackages in ESRI and MAPINFO formats, providing valuable geographic information system (GIS) data.
Access to Dataset: True to the dataset's heritage of open access, the Martinique ORSTOM-DIREN dataset is freely available to all. This open license allows researchers, meteorologists, and interested individuals to explore and utilize this data for various climatological and environmental studies, enriching our understanding of Martinique's environmental history.
Authors Contributions:

Original data collection: ORSTOM (now IRD, Institut de recherche pour le développement) and DIREN (Direction Régionale de l'Environnement), Martinique.
Data curation: Jérémy Lavarenne
Funding: This project was undertaken without specific funding.
Changelog:

v1.0.0: Initial compilation of the dataset.
DOI: 10.6073/pasta/fc95e175892b789ae493f07f82009549
title: Projected climate and canopy change lead to thermophilization and homogenization of forest floor vegetation in a hotspot of plant species richness, Berchtesgaden National Park, Bavaria, Germany

description: Mountain forests are plant diversity hotspots, but changing climate and increasing forest disturbances will likely lead to far-reaching plant community change. Projecting future change, however, is challenging for forest understory plants, which respond to forest structure and composition as well as climate. Here, we jointly assessed effects of both climate and forest change, including wind and bark beetle disturbances, using the process-based simulation model iLand in a protected landscape in the northern Alps (Berchtesgaden National Park, Germany), asking: (1) How do understory plant communities respond to 21st-century change in a topographically complex mountain landscape, representing a hotspot of plant species richness? (2) How important are climatic changes (i.e., direct climate effects) versus forest structure and composition changes (i.e., indirect climate effects and recovery from past land use) in driving understory responses at landscape scales? Stacked individual species distribution models fit with climate, forest, and soil predictors (248 species currently present in the landscape, derived from 150 field plots stratified by elevation and forest development, overall AUC = 0.86) were driven with projected climate (RCP4.5 and RCP8.5) and modeled forest variables to predict plant community change. Nearly all species persisted in the landscape in 2050, but on average 8% of the species pool was lost by the end of the century. By 2100, landscape mean species richness and understory cover declined (-13% and -8%, respectively), warm-adapted species increasingly dominated plant communities (i.e., thermophilization, +12%), and plot-level turnover was high (62%). Subalpine forests experienced the greatest richness declines (-16%), most thermophilization (+17%), and highest turnover (67%), resulting in plant community homogenization across elevation zones. Climate rather than forest change was the dominant driver of understory responses. The magnitude of unabated 21st-century change is likely to erode plant diversity in a species richness hotspot, calling for stronger conservation and climate mitigation efforts.
DOI: 10.6084/m9.figshare.24747534
title: benchmarking_data.tar.gz

description: benchmarking data
DOI: 10.6084/m9.figshare.24747534.v1
title: Untitled Item

description: benchmarking data
DOI: 10.6084/m9.figshare.24747534.v2
title: benchmarking_data.tar.gz

description: benchmarking data
DOI: 10.21227/qkm1-k152
title: BEATing CILIAted cells

description: Nasal cytology is a medicine field that focuses on the examination of nasal mucosa cells with the objective of recognizing changes in the epithelium, which is frequently subjected to acute or chronic irritation and inflammation caused by viruses, bacteria, or fungi; in the last decade nasal cytology is becoming increasingly critical in diagnosing nasal conditions. Among the cell population of the nasal mucosa, ciliated cells make up 80% of the epithelium in the upper airways. These cells are characterized by the presence of cilia that normally beat in a consistent, fluid pattern, easing effective mucociliary clearance.  This cytotype results quite important since its study allows for the diagnosis of primary ciliary dyskinesia (PCD), a rare pathology that is usually associated with other severe pathologies such as situs inversus, cardiac diseases and male infertility.  The assessment of ciliary function through the measurement of the ciliary beating frequency (CBF).In addition, the CBF decay of the ciliated cells in a dead body may help to trace the time of death. These motivations have fueled the research seeking an architecture that supports such long, complex estimations, and feels necessary in medical andforensics contexts, that’s why we developed Deep Cilia, a completely autonomous CBFdecay estimation system. We also collected a new dataset containing videos of beating ciliated cells, made available to the Scientific Community on IEEE Dataport. The videos were acquired by an expert cytologist using a microscope (with 1000x magnification) equipped with a digital camera. The dataset contains 119 videos of beating ciliated cells and each video exhibits a variable number of ciliated cells, varying from 1 to more than 5 (in contexts where many cells are amassed). The average video duration in the dataset is 93 seconds, with an upper bound of 352 seconds and the shortest being only 3 seconds long. As underlined, the cardinality of ciliated cells recorded in each video can vary. From the 119 videos a total of 246 clearly visible strias were reported, labeled and manually extracted by the authors on each frame of the videos. In addition to the number of cells and video duration, the videos differ from each other in terms of frame rate with an average of 23.63 Fps and an standard deviation of ± 2.54 Fps and in terms of resolution. The video frames are also already extracted, augmented and splitted in three partitions to train, validate and test eventual object detection systems, alongside the bounding boxes for the cells manually extracted by the authors on each frame.
DOI: 10.5281/zenodo.10264431
title: LANGUE ET IDENTITÉ : INDISSOLUBLE MÉLANGE
DOI: 10.5281/zenodo.10264432
title: LANGUE ET IDENTITÉ : INDISSOLUBLE MÉLANGE
DOI: 10.5281/zenodo.10264578
title: MANIFESTATIONS SUR LE DISCOURS EPILINGUISTIQUE
DOI: 10.5281/zenodo.10264577
title: MANIFESTATIONS SUR LE DISCOURS EPILINGUISTIQUE
DOI: 10.5281/zenodo.10161510
title: BRASA - A merger proposal for burned area in Brazil.

description: Contact: henri.leaos@gmail.com | paulo.leao@cemaden.gov.br
Purpose: A burned area product that maps the largest extent of burned coverage in Brazil. This asset is the result from the fusion of three datasets at different scales: Global products that offer a broader and more conservative view with a coarser resolution (MCD64A1 - 500m and Fire_CCI 250m), combined with regional products with a finer resolution (Mapbiomas Collection 2 - 30m).
Coverage: Brazil
Period: 2001 - 2020
Spatial resolution: 30-meters
Temporal resolution: Annual
Coordinate reference system: Geographic Coordinate System with Datum WGS-84 (EPSG:4326)
File format: Each zip file contains nine tiles in compressed TIFF format. The pixel values represent the area burned and the origin of the information. 

Legend: 

Mapbiomas2 - 1
Fire_CCI - 3
Mapbiomas2 + Fire_CCI = 4
MCD64A1 - 7
Mapbiomas2 + MCD64A1 = 8
Fire_CCI + MCD64A1 = 10
Mapbiomas2 + Fire_CCI + MCD64A1 = 11
Code: https://doi.org/10.5281/zenodo.10183061
Dataset usage: It is free to use, but if you use this dataset in your work, please cite the repository and our paper correctly. We also welcome users to invite us for collaboration.
Acknowledgements: To the MAP-Fire Maranhão Project: FAPESP (process no. 2020/16457-3, 2022/06158-4. ), FAPEMA (No. CACD 02989/20) and CNPq (process no. 409531/2021-9).  
For this dataset, please use the following references:

Paulo Henrique A. Leão et al. Contribuição de produtos de área queimada na Amazônia Maranhense: proposta de avaliações combinadas. Geoinfo. 2022.  Disponível em: <http://mtc-m16c.sid.inpe.br/col/sid.inpe.br/mtc-m16c/2022/12.16.16.32/doc/311-316_Leao_contribuicao.pdf>
Eduarda Vaz Braga et al. COMPARISON BETWEEN PRODUCTS FROM BURNT AREAS AND THE RELATIONSHIP WITH LAND USE AND COVERAGE IN THE STATE OF MARANHÃO.. In: ANAIS DO XX SIMPóSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 2023, Florianópolis. Anais eletrônicos... São José dos Campos, INPE, 2023. Disponível em: <https://proceedings.science/sbsr-2023/trabalhos/comparison-between-products-from-burnt-areas-and-the-relationship-with-land-use?lang=en>.
DOI: 10.5281/zenodo.10161511
title: BRASA - A merger proposal for burned area in Brazil.

description: Contact: henri.leaos@gmail.com | paulo.leao@cemaden.gov.br
Purpose: A burned area product that maps the largest extent of burned coverage in Brazil. This asset is the result from the fusion of three datasets at different scales: Global products that offer a broader and more conservative view with a coarser resolution (MCD64A1 - 500m and Fire_CCI 250m), combined with regional products with a finer resolution (Mapbiomas Collection 2 - 30m).
Coverage: Brazil
Period: 2001 - 2020
Spatial resolution: 30-meters
Temporal resolution: Annual
Coordinate reference system: Geographic Coordinate System with Datum WGS-84 (EPSG:4326)
File format: Each zip file contains nine tiles in compressed TIFF format. The pixel values represent the area burned and the origin of the information. 

Legend: 

Mapbiomas2 - 1
Fire_CCI - 3
Mapbiomas2 + Fire_CCI = 4
MCD64A1 - 7
Mapbiomas2 + MCD64A1 = 8
Fire_CCI + MCD64A1 = 10
Mapbiomas2 + Fire_CCI + MCD64A1 = 11
Code: https://doi.org/10.5281/zenodo.10183061
Dataset usage: It is free to use, but if you use this dataset in your work, please cite the repository and our paper correctly. We also welcome users to invite us for collaboration.
Acknowledgements: To the MAP-Fire Maranhão Project: FAPESP (process no. 2020/16457-3, 2022/06158-4. ), FAPEMA (No. CACD 02989/20) and CNPq (process no. 409531/2021-9).  
For this dataset, please use the following references:

Paulo Henrique A. Leão et al. Contribuição de produtos de área queimada na Amazônia Maranhense: proposta de avaliações combinadas. Geoinfo. 2022.  Disponível em: <http://mtc-m16c.sid.inpe.br/col/sid.inpe.br/mtc-m16c/2022/12.16.16.32/doc/311-316_Leao_contribuicao.pdf>
Eduarda Vaz Braga et al. COMPARISON BETWEEN PRODUCTS FROM BURNT AREAS AND THE RELATIONSHIP WITH LAND USE AND COVERAGE IN THE STATE OF MARANHÃO.. In: ANAIS DO XX SIMPóSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 2023, Florianópolis. Anais eletrônicos... São José dos Campos, INPE, 2023. Disponível em: <https://proceedings.science/sbsr-2023/trabalhos/comparison-between-products-from-burnt-areas-and-the-relationship-with-land-use?lang=en>.
DOI: 10.5517/ccdc.csd.cc2d3hfg
title: CCDC 2207895: Experimental Crystal Structure Determination

description: Related Article: Minghui Zhu, Shicheng Han, Junrui Liu, Mengjin Tan, Wei Wang, Kosuke Suzuki, Panchao Yin, Debin Xia, Xikui Fang|2022|Angew.Chem.,Int.Ed.|61|e202213910|doi:10.1002/anie.202213910
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.