cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.981797
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-11

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981798
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-14

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981799
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-13

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981800
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-16

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.15468/dl.vqjksb
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Liolaemus hellmichi Donoso-Barros, 1975"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055702-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.981801
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-19

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981802
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-20

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981803
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-23

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981804
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-21

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981805
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-18

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981806
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-22

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981807
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-17

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981808
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-24

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981809
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-25

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981810
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-26

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981811
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-27

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981812
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-28

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981813
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-05

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981814
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-03

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981815
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-01

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981816
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-29

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981817
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-06

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981818
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-04

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981819
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-11-30

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981824
title: Video In Situ Snowfall Sensor (VISSS) status files for Ny-Ålesund on days without precipitation

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981825
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-29

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981826
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-30

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981827
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-31

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981828
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-26

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981829
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-18

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981830
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-17

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981831
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-22

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981832
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-23

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981833
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-10

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981834
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-20

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.1594/pangaea.981835
title: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2024-12-27

description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISSS see Maahn et al. (2024).
DOI: 10.15468/dl.eruxyf
title: Occurrence Download

description: A dataset containing 263847427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 263847427 records from 8630 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055631-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26863594
title: A robustly rooted tree of eukaryotes reveals their excavate ancestry [Data]

description: Supplementary data for the manuscript: "A robustly rooted tree of eukaryotes reveals their excavate ancestry"<b>Folder/file descriptions:</b><br><br><b>Single protein datasets - unaligned: </b>contains unaligned protein sequences in FASTA format for all individual marker proteins<b>Single protein datasets - aligned: </b>contains protein sequences in FASTA format for all individual marker proteins after alignment with PREQUAL and MAFFT<br><b>Single proteins datasets - aligned and trimmed: </b>contains protein sequences in FASTA format for all individual marker proteins after alignment with PREQUAL and MAFFT<b> </b>and trimming with BMGE<br><b>Models: </b>contains all phylogenetic models generated for this study<br><b>Scripts: </b>contains all custom scripts<br><b>Phylogenomic supermatrices:</b> contains all phylogenomic supermatrices used for all analyses<br><b>Anae+ phylogenetic trees: </b>contains all phylogenetic trees estimated from the concatenated dataset that includes <i>Anaeramoeba </i>(Anae+)<br><b>Anae- phylogenetic trees: </b>contains all phylogenetic trees estimated from the concatenated dataset that does <b>not </b>include <i>Anaeramoeba</i> (Anae-)<br><b>Simulated Alignments With Gaps: </b>contains 100 alignments simulated from the consensus tree (OpiDip+/<i>Anaeramoeba</i>) with the gap pattern from the original alignment preserved<br><b>Simulated Alignments Without Gaps: </b>contains 100 alignments simulated from the consensus tree (OpiDip+/<i>Anaeramoeba</i>)<b> </b>with no gaps<b>Hemimastix_sequences.fasta: </b>FASTA file of all sequences from <i>Hemimastix kukwesjijk</i> used in the final dataset analyses
DOI: 10.17632/ycx459r5c3.2
title: A Dataset for Large Prismatic Lithium-Ion Battery Cells (CALB L148N58A): Comprehensive Characterization and Real-World Driving Cycles

description: This dataset presents the experimental campaign for a batch of eleven prismatic CALB L148N58A lithium-ion B-grade battery cells with a nominal capacity of 58 Ah. The experimental campaign, conducted at the Energy Laboratory for Interdisciplinary Storage Applications (ELISA) at the University of Trieste, Italy, employs non-destructive tests to assess the performance of each cell within the batch. The cell-level testing procedures include fixed Constant Current Constant Voltage (CCCV) charging and Constant Current (CC) discharging at low current rates, Hybrid Pulse Power Characterization (HPPC) tests at various C-rates (i.e., 1C and C/3), Electrochemical Impedance Spectroscopy (EIS) at different State of Charge (SOC) levels, and three distinct driving cycles (WLTP, UDDS and US06). All the experiments were conducted at three different ambient temperatures (10°C, 25°C, and 40°C), resulting in a comprehensive dataset for assessing the performance metrics of the battery cells. This dataset provides valuable insights into post-manufacturing cell-to-cell variations in performance metrics such as capacity and impedance within a batch of fresh cells. Additionally, it serves as a crucial resource for developing battery models, including physics-based, empirical, and data-driven approaches. Moreover, it may contribute to validate model-based and data-driven estimation and control strategies within battery management systems, enhancing the reliability and efficiency of energy storage solutions.

For further information, the reader is advised to review the paper:
Fasolato, S., Blasuttigh, N., Galuppini, G., and Raimondo, D. M. (2025). A Dataset for Large Prismatic Lithium-Ion Battery Cells (CALB L148N58A): Comprehensive Characterization and Real-World Driving Cycles. Data in Brief, 111301.
DOI: 10.17632/ycx459r5c3.1
title: A Dataset for Large Prismatic Lithium-Ion Battery Cells (CALB L148N58A): Comprehensive Characterization and Real-World Driving Cycles

description: This dataset presents the experimental campaign for a batch of eleven prismatic CALB L148N58A lithium-ion B-grade battery cells with a nominal capacity of 58 Ah. The experimental campaign, conducted at the Energy Laboratory for Interdisciplinary Storage Applications (ELISA) at the University of Trieste, Italy, employs non-destructive tests to assess the performance of each cell within the batch. The cell-level testing procedures include fixed Constant Current Constant Voltage (CCCV) charging and Constant Current (CC) discharging at low current rates, Hybrid Pulse Power Characterization (HPPC) tests at various C-rates (i.e., 1C and C/3), Electrochemical Impedance Spectroscopy (EIS) at different State of Charge (SOC) levels, and three distinct driving cycles (WLTP, UDDS and US06). All the experiments were conducted at three different ambient temperatures (10°C, 25°C, and 40°C), resulting in a comprehensive dataset for assessing the performance metrics of the battery cells. This dataset provides valuable insights into post-manufacturing cell-to-cell variations in performance metrics such as capacity and impedance within a batch of fresh cells. Additionally, it serves as a crucial resource for developing battery models, including physics-based, empirical, and data-driven approaches. Moreover, it may contribute to validate model-based and data-driven estimation and control strategies within battery management systems, enhancing the reliability and efficiency of energy storage solutions.
DOI: 10.15468/dl.a9jrav
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.68077 -17.47409,-70.29327 -16.00047,-71.55463 -15.05252,-72.96735 -14.63798,-74.73326 -15.36899,-75.16213 -15.63639,-71.68077 -17.47409))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris alba (Pallas, 1764)",
 "Year 2021-2025"
 ]
}

 The dataset includes 171 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003020-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6k49z5tdsg.1
title: Thermal response of lakes to cyclic environmental forcing

description: A CSV file containing two years of measured environmental forcing and surface heat fluxes collected via EC towers from two adjacent Mediterranean lakes, Lake Kinneret (Kin) and Agamon Hula (Hula). 
A Matlab code that calculates the equilibrium temperature (Te) based on environmental forcing.
DOI: 10.15468/dl.wtnpmm
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is one of (Brazil)",
 "Year is greater than or equal to 1905",
 "Year is less than or equal to 1915",
 "TaxonKey is Macrothelypteris torresiana (Gaudich.) Ching"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003021-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t22jfe
title: Occurrence Download

description: A dataset containing 941338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is South America",
 "GbifRegion is Latin America and the Caribbean",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset includes 941338 records from 531 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003004-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13974502
title: Comprehensive Dataset for Fault Detection and Diagnosis in Inverter-Driven PMSM Systems

description: # New in Version 3.0 The dataset has been reorganized for improved accessibility and clarity:



/code: Contains all source code (C++ and Python) for data acquisition and processing

/metadata: Contains sensor specifications and fault definitions

/processed_data: Contains the processed and derived features

/raw_data: Contains:



Raw sensor measurements

Fault scenario data

Normal operation data

Thermistor calibration data



/visualizations: Contains data visualization outputs


This dataset contains multi-sensor measurements from an inverter-driven PMSM system under various fault conditions. It includes: 



10,892 samples across 9 operational conditions

8 raw sensor measurements

15 derived features

Data collected at 10 Hz sampling rate

 Fault scenarios including open-circuit, short-circuit, and overheating conditions


 Keywords:



PMSM

Fault Detection

Inverter Faults

Motor Drive Systems

Experimental Data

Machine Learning
DOI: 10.5281/zenodo.14482932
title: Comprehensive Dataset for Fault Detection and Diagnosis in Inverter-Driven PMSM Systems

description: # New in Version 3.0 The dataset has been reorganized for improved accessibility and clarity:



/code: Contains all source code (C++ and Python) for data acquisition and processing

/metadata: Contains sensor specifications and fault definitions

/processed_data: Contains the processed and derived features

/raw_data: Contains:



Raw sensor measurements

Fault scenario data

Normal operation data

Thermistor calibration data



/visualizations: Contains data visualization outputs


This dataset contains multi-sensor measurements from an inverter-driven PMSM system under various fault conditions. It includes: 



10,892 samples across 9 operational conditions

8 raw sensor measurements

15 derived features

Data collected at 10 Hz sampling rate

 Fault scenarios including open-circuit, short-circuit, and overheating conditions


 Keywords:



PMSM

Fault Detection

Inverter Faults

Motor Drive Systems

Experimental Data

Machine Learning