cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14000561
title: Confronting Large-Eddy Simulations with Stereo Camera Data by means of reconstructed hemispheric Cloud Size Distributions

description: Dataset to produce the results of the publication: "Confronting Large-Eddy Simulations with Stereo Camera Data by means of reconstructed hemispheric Cloud Size Distributions". This dataset supports the findings presented in the publication and includes comprehensive resources for replicating its analysis and visualization. 

 The dataset encompasses:



Dutch Atmospheric Large-Eddy Simulation (DALES) Data



Configuration files

Selected simulation output data



Image Data



Rendered stereo camera images from the DALES output

Actual stereo camera images

Cloud masks generated from these images



Camera-Based Reconstructions



Reconstructed cloud fields from the rendered camera images

Reconstructed cloud fields from the actual camera images



Derived Cloud Metrics



Cloud base areas, cloud base heights, and cloud cover from the camera-based reconstructions



Observational Data



Radiosondes, Ceilometer, and Cloudnet measurements

Cloud cover from radiation measurements

Mixed layer height from the Doppler lidar



Reproduction Scripts



Scripts to reproduce the analysis and figures




 

This research was supported by the U.S. Department of Energy's Atmospheric System Research, an Office of Science Biological and Environmental Research program, under grant DE-SC0022126 and by the German Research Foundation (DFG) under project number 430226822 (https://gepris.dfg.de/gepris/projekt/430226822). The Gauss Centre for Supercomputing e.V. (https://www.gauss-centre.eu/) is acknowledged for providing computing time on the Gauss Centre for Supercomputing (GCS) supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under the projects RCONGM and VIRTUALLAB. JOYCE data were provided by the Institute for Geophysics and Meteorology of the University of Cologne. JOYCE is a collaborative research platform between University of Cologne and Forschungszentrum Jülich within the European research infrastructure ACTRIS. We acknowledge ACTRIS and the Finnish Meteorological Institute for providing Cloudnet data which is available for download from https://cloudnet.fmi.fi. We acknowledge ECMWF for providing IFS model data.
DOI: 10.5281/zenodo.15498017
title: Confronting Large-Eddy Simulations with Stereo Camera Data by means of reconstructed hemispheric Cloud Size Distributions

description: Dataset to produce the results of the publication: "Confronting Large-Eddy Simulations with Stereo Camera Data by means of reconstructed hemispheric Cloud Size Distributions". This dataset supports the findings presented in the publication and includes comprehensive resources for replicating its analysis and visualization. 

 The dataset encompasses:



Dutch Atmospheric Large-Eddy Simulation (DALES) Data



Configuration files

Selected simulation output data



Image Data



Rendered stereo camera images from the DALES output

Actual stereo camera images

Cloud masks generated from these images



Camera-Based Reconstructions



Reconstructed cloud fields from the rendered camera images

Reconstructed cloud fields from the actual camera images



Derived Cloud Metrics



Cloud base areas, cloud base heights, and cloud cover from the camera-based reconstructions



Observational Data



Radiosondes, Ceilometer, and Cloudnet measurements

Cloud cover from radiation measurements

Mixed layer height from the Doppler lidar



Reproduction Scripts



Scripts to reproduce the analysis and figures




 

This research was supported by the U.S. Department of Energy's Atmospheric System Research, an Office of Science Biological and Environmental Research program, under grant DE-SC0022126 and by the German Research Foundation (DFG) under project number 430226822 (https://gepris.dfg.de/gepris/projekt/430226822). The Gauss Centre for Supercomputing e.V. (https://www.gauss-centre.eu/) is acknowledged for providing computing time on the Gauss Centre for Supercomputing (GCS) supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under the projects RCONGM and VIRTUALLAB. JOYCE data were provided by the Institute for Geophysics and Meteorology of the University of Cologne. JOYCE is a collaborative research platform between University of Cologne and Forschungszentrum Jülich within the European research infrastructure ACTRIS. We acknowledge ACTRIS and the Finnish Meteorological Institute for providing Cloudnet data which is available for download from https://cloudnet.fmi.fi. We acknowledge ECMWF for providing IFS model data.
DOI: 10.3886/e230661
title: Distributed Leadership: Teachers' and Principals' Perceptions Match and the Association with Teacher Work Satisfaction and Autonomy

description: Data for this study was derived from the 2018 Teaching and Learning International Survey (TALIS), which was a large-scale data collection of educators from the Organization of Economic Cooperation and Development (OECD) countries. The data could be access through the TALIS 2018 database at https://www.oecd.org/en/data/datasets/talis-2018-database.html<br><br>The file in this repository contains the analysis file used to create the tables found in "Distributed Leadership: Teachers' and Principals' Perceptions Match and the Association with Teacher Work Satisfaction and Autonomy".<br><br>The study abstract is below: <br><br>Schools where principals and teachers collaborate to develop a culture of distributed leadership provide the best environments for teaching and learning. However, the alignment between principals' and teachers' perceptions of distributed leadership and association with teacher outcomes requires further investigation. Using TALIS 2018 data, this study explored how the (mis)match of principal and teacher perceptions of distributed leadership may be associated with levels of teacher work satisfaction and teacher autonomy. Hierarchical linear modeling and polynomial regression with response surface analysis were employed for data analysis. Findings indicate that principals and teachers had different views on distributed leadership and these differences were associated with levels of teacher autonomy. When principals overestimated distributed leadership compared to teachers, teacher autonomy declined. Moreover, teachers’ perceptions of distributed leadership were the strongest predictors of work satisfaction. These findings highlight the importance of understanding perceptual gaps between principals and teachers to develop leadership strategies.
DOI: 10.3886/e230661v1
title: Distributed Leadership: Teachers' and Principals' Perceptions Match and the Association with Teacher Work Satisfaction and Autonomy

description: Data for this study was derived from the 2018 Teaching and Learning International Survey (TALIS), which was a large-scale data collection of educators from the Organization of Economic Cooperation and Development (OECD) countries. The data could be access through the TALIS 2018 database at https://www.oecd.org/en/data/datasets/talis-2018-database.html<br><br>The file in this repository contains the analysis file used to create the tables found in "Distributed Leadership: Teachers' and Principals' Perceptions Match and the Association with Teacher Work Satisfaction and Autonomy".<br><br>The study abstract is below: <br><br>Schools where principals and teachers collaborate to develop a culture of distributed leadership provide the best environments for teaching and learning. However, the alignment between principals' and teachers' perceptions of distributed leadership and association with teacher outcomes requires further investigation. Using TALIS 2018 data, this study explored how the (mis)match of principal and teacher perceptions of distributed leadership may be associated with levels of teacher work satisfaction and teacher autonomy. Hierarchical linear modeling and polynomial regression with response surface analysis were employed for data analysis. Findings indicate that principals and teachers had different views on distributed leadership and these differences were associated with levels of teacher autonomy. When principals overestimated distributed leadership compared to teachers, teacher autonomy declined. Moreover, teachers’ perceptions of distributed leadership were the strongest predictors of work satisfaction. These findings highlight the importance of understanding perceptual gaps between principals and teachers to develop leadership strategies.
DOI: 10.15472/oaqbms
title: Tardígrados del Centro de Colecciones Biológicas de la Universidad del Magdalena CBUMAG

description: Los tardígrados u ositos de agua, como son llamados comúnmente, son micrometazoos pertenecientes al filo Tardigrada, que miden entre 50 a 1200 μm; a pesar de sus limitaciones en cuanto a tamaño y desplazamiento, los tardígrados han desarrollado estrategias de dispersión pasiva que los convierte en un grupo cosmopolita. Algunas especies son marinas, pero en su gran mayoría son limnoterrestres, habitando en la delgada película de agua retenida por los microdoseles conformados por líquenes, briófitos y hojarasca.
description: La información de este recurso proviene de salidas de campo realizadas entre el 7 de noviembre del 2011 y el 15 de noviembre del 2024. Lo anterior desarrollado en el marco de distintos proyectos de investigación con fuentes de financiación, enfocados en inventariar la diversidad taxonómica de tardígrados. Se han estudiado los tardígrados asociados a los briófitos y líquenes cortícolas y de rocas, y de la hojarasca de la Sierra Nevada de Santa Marta, en áreas de muestreo ubicadas en los departamentos del Magdalena, Cesar y Guajira; éstas abarcan un intervalo altitudinal entre los 22 y los 2565 msnm y presentan vegetación típica del bosque seco ecuatorial y el bosque sub-andino. Además, se investigaron los tardígrados del Bosque Seco Tropical de Montes de María y la Serranía de Piojó que corresponden a los departamentos de Atlántico, Bolívar y Sucre, abarcando un rango altitudinal entre los 52 y los 405 msnm.
description: Se recolectaron muestras conspicuas de briófitos y líquenes epífitos de cortezas de árboles, sobre roca, suelo y concreto, y muestras de hojarasca. Fueron guardadas individualmente en bolsas de papel debidamente rotuladas con la información de campo correspondiente; posteriormente se dejaron secar a temperatura ambiente durante el tiempo necesario para asegurar su lenta y total deshidratación y evitar el deterioro de las muestras a causa de la humedad, así como inducir a los tardígrados a un estado criptobiótico, para su posterior procesamiento en el laboratorio.
description: En el laboratorio cada una de las muestras se rehidrató por un periodo de 24 horas para asegurar que los tardígrados salieran de su estado de criptobiosis. Luego, las muestras se filtraron en tamices de diámetro de ojo de malla de 2 mm y de 35 µm y la fracción retenida entre éstos se revisó al estereoscopio con el fin de separar a los tardígrados, huevos y exuvias. Los ejemplares encontrados fueron preservados directamente en medio permanente de montaje (medio de Hoyer o PVA) para su posterior determinación hasta la categoría taxonómica más baja posible a partir de caracteres morfológicos, morfométricos y merísticos.
description: En el presente recurso se registran 13.426 ejemplares de tardígrados determinados a diferentes niveles taxonómicos, siendo las familias más relevantes Macrobiotidae, Echiniscidae y Milnesiidae.
DOI: 10.5281/zenodo.15498160
title: Data of graph input
DOI: 10.25345/c5b56dh5q
title: MassIVE MSV000097979 - Per- and polyfluoroalkyl substances induce cardiotoxicity and alter protein profiles related to extracellular matrix, metabolism and mitochondrial function in human cardiomyocytes
title: Per- and polyfluoroalkyl substances (PFASs), common environmental contaminants, can cause cardiotoxic effects particularly during fetal development. However, combined PFAS exposure, which more closely reflects real-world environmental conditions, remains poorly understood. In this study, human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) were exposed to three common PFAS compounds-perfluorohexanesulfonic acid (PFHxS), perfluorooctanoic acid (PFOA), and perfluorodecanoic acid (PFDA), individually or in combination. Compared with single PFAS compounds, combined PFAS exposure induced synergistic cytotoxicity, significantly reducing hiPSC-CM viability after 5 or 10 days. Combined PFAS exposure for 10 days reduced mitochondrial membrane potential and content in a dose-dependent manner and caused a shift in cysteine metabolism, potentially indicative of an adaptive response to oxidative challenges. Following 14 days of exposure, combined PFASs increased vimentin, a fibroblast marker, along with reduced NK2 Homeobox 5 (NKX2.5), alpha-actinin, and cardiac troponin T (cTnT), key markers of cardiomyocytes, as detected by immunocytochemistry. In addition, proteomic profiling identified that combined PFASs upregulated proteins related to extracellular matrix organization, cholesterol metabolism, and antioxidant defense, and downregulated proteins related to mitochondrial function. These results underscore the importance of evaluating PFAS mixtures to better understand cardiac risks associated with environmental exposure.
DOI: 10.15468/dl.6n585y
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Irenomys tarsalis (Philippi, 1900)"
 ]
}

 The dataset includes 222 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015748-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15493891
title: WaivOps Lo-Fi Drums Dataset: Open Audio Resources for Machine Learning in Music

description: Lo-Fi Drums Dataset

Lo-Fi Drums Dataset is an open audio collection of drum recordings in the style of lo-fi hip hop music. It features 10,000 audio loops provided in uncompressed stereo WAV format, along with paired JSON files containing label data for supervised training of generative AI audio models.

Overview

The dataset was developed using an algorithmic framework to randomly generate audio loops from a customized database of MIDI patterns and one-shot drum samples. Data augmentation included random sample-swapping and reverb modeling to generate unique drum kits, sound effects and acoustic spaces. It is intended for training or fine-tuning AI models with paired labels, adaptable for prompt-driven drum generation and other supervised learning objectives.

The primary purpose of this dataset is to provide accessible content for machine learning applications in music. Potential use cases include text-to-audio, prompt engineering, feature extraction, tempo detection, audio classification, rhythm analysis, music information retrieval (MIR), sound design and signal processing.

Specifications



10,000 4-bar audio loops (approximately 37.5 hours)

16-bit WAV format

Tempo range: 50-90 BPM

Paired label data (WAV + JSON)

Variational drum patterns

Subgenre styles (boom bap, chill hop, trip hop, hip hop)


A key map JSON file is provided for referencing and converting MIDI note numbers to text labels. You can update the text labels to suit your preferences.

License

This dataset was compiled by WaivOps, a crowdsourced music project managed by Patchbanks. All recordings have been sourced from verified composers and providers for copyright clearance.

The Lo-Fi Drums Dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Additional Info

For audio examples or more information about this dataset, please refer to the GitHub repository.
DOI: 10.5281/zenodo.15493892
title: WaivOps Lo-Fi Drums Dataset: Open Audio Resources for Machine Learning in Music

description: Lo-Fi Drums Dataset

Lo-Fi Drums Dataset is an open audio collection of drum recordings in the style of lo-fi hip hop music. It features 10,000 audio loops provided in uncompressed stereo WAV format, along with paired JSON files containing label data for supervised training of generative AI audio models.

Overview

The dataset was developed using an algorithmic framework to randomly generate audio loops from a customized database of MIDI patterns and one-shot drum samples. Data augmentation included random sample-swapping and reverb modeling to generate unique drum kits, sound effects and acoustic spaces. It is intended for training or fine-tuning AI models with paired labels, adaptable for prompt-driven drum generation and other supervised learning objectives.

The primary purpose of this dataset is to provide accessible content for machine learning applications in music. Potential use cases include text-to-audio, prompt engineering, feature extraction, tempo detection, audio classification, rhythm analysis, music information retrieval (MIR), sound design and signal processing.

Specifications



10,000 4-bar audio loops (approximately 37.5 hours)

16-bit WAV format

Tempo range: 50-90 BPM

Paired label data (WAV + JSON)

Variational drum patterns

Subgenre styles (boom bap, chill hop, trip hop, hip hop)


A key map JSON file is provided for referencing and converting MIDI note numbers to text labels. You can update the text labels to suit your preferences.

License

This dataset was compiled by WaivOps, a crowdsourced music project managed by Patchbanks. All recordings have been sourced from verified composers and providers for copyright clearance.

The Lo-Fi Drums Dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Additional Info

For audio examples or more information about this dataset, please refer to the GitHub repository.
DOI: 10.15468/dl.pp4f5x
title: Occurrence Download

description: A dataset containing 49220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pnigalio levis Yoshimoto, 1983, Tragidion densiventre Casey, 1912, Melanoplus pictus Scudder, 1897, Asphaera lustrans (Crotch, 1873), Egle lyneborgi Ackland & Griffiths, 2003, Chionodes abitus Hodges, 1999, Pontania arbusculae Benson, 1941, Linnavuoriana swaraji (Sharma, 1978), Cerura erminea formosana (Matsumura, 1929), Zygina salicina Mitjaev, 1975, Euura collactanea (Förster, 1854), Scutellista obscura (Förster, 1878), Macropsis arvicolaria Tishechkin, 1996, Macropsis regalis Tishechkin, 1996, Macropsis murina Tishechkin, 1998, Populicerus orientalis Isaev, 1988, Nymphalis antiopa antiopa, Kunzeana salicis (Beamer, 1943), Idiocerus songoricus Mitjaev, 1970, Rabdophaga rosaria (Loew, 1850), Harpendyreus notoba (Trimen, 1868), Pleurota pyropella (Denis & Schiffermüller), 1775, Hauptidia cretacea (Moravskaja, 1948), Athysanella nielsoni Blocker, 1990, Halictus vestitus Lepeletier, 1841, Copidosoma autumnale Myartseva, 1983, Aphycus mesasiaticus Myartseva, 1979, Orobanche anatolica Boiss. & Reut., Shijimia moorei (Leech, 1889), Ancylosis costistrigella Ragonot, 1890, Pherne subpunctata (Hulst, 1898), Lyrcus justicia (Girault, 1917), Bucculatrix taeniola Braun, 1963, Asianidia salviae (Lindberg, 1954), Castilleja chromosa A.Nelson, Platycheirus ecuadoriensis (Fluke, 1945), Allograpta annulipes (Macquart, 1850), Rhinoprosopa aenea (Hull, 1937), Anthophora walteri Gonzalez, 2004, Syrphus shorae Fluke, 1942, Platycheirus fenestrata (Macquart, 1842), Lejops mexicanus (Macquart, 1842), Allograpta neotropica Curran, 1936, Anagyrus hammadae Trjapitzin & Rozanov, 1972, Rhopalus subrufus (Gmelin, 1790), Cyrtobagous salviniae Calder & Sands, 1985, Giuris margaritacea (Valenciennes, 1837), Megalops cyprinoides (Broussonet, 1782), Elophila difflualis (Snellen), Brustiarius solidus (Herre, 1935))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 49220 records from 610 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015746-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/9hz-8w8-1pw
title: Balanophyllia (Balanophyllia) Wood, 1844

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pmy-30b-8dm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4as-71a-yd6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jky-ry7-p74
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jkk-jk6-t89
title: †Riminopsis complanata (Reuss, 1851)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s69-j6e-rq8
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2m0-qh4-80z
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t49-5ee-h8l
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1l0-w8r-kfn
title: †Trochotiara depressum (Agassiz in Agassiz & Desor, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/trb-zz3-pkk
title: Pyrulina cylindroides (Roemer, 1838)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7vz-cp8-6pk
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wp4-es8-49y
title: Dama dama mesopotamica (Brooke, 1875)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x2g-r0p-944
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lvl-lr0-5m0
title: Pecten O. F. Müller, 1776

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y8k-jqg-3e0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g1k-5q4-3wv
title: Serpula Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t2n-b54-lfz
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bp3-srd-8cx
title: †Praestorrsella roestae (Visser, 1951)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m4y-01t-7dw
title: Planularia Defrance, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7vq-7el-0rb
title: Lamna

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qk9-dqd-615
title: Gaidropsarus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zyv-0n0-2rb
title: Capra Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j34-t99-cg8
title: †Orbitoides apiculata Schlumberger, 1902

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j9s-m10-hgt
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4x9-7xy-0qf
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xk3-nrm-gfk
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.