cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17885454
title: 2020 IMPACTS HVPS Individual Particle Measurements, Habits, and Size Distributions

description: Morphological measurements for particles detected by the vertical channel of the High Volume Precipitation Spectrometer (HVPS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in V_1.nc are individual particle files, while files ending in V.HVPS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (https://doi.org/10.1029/2024JD040895), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).

Updated on 10 December 2025 to add data for 5 February 2020.

Some additional notes on habits

The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:

0: sphere

1: column/needle

2: rejected

3: tiny

4: plate

5: irregular

6: graupel

7: dendrite

8: aggregate

9: center-out

 

 

The individual particle files have numeric codes for various habits. These codes refer to the following habits:

 

77: missing

67: center-out

116: tiny

111: rejected

108: column/needle

97: aggregate

103: graupel

115: sphere

104: plate105: irregular100: dendrite
DOI: 10.13140/rg.2.2.24062.65605
title: AI Shared Responsibility Model v1
DOI: 10.15468/dl.petha8
title: Occurrence Download

description: A dataset containing 26520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is one of (Nebraska (NE), Nebraska, Nebraska (State), Nebr, Nebr., Nebr. [Nebraska], Nebraska State)",
 "TaxonKey is Nannopterum auritum"
 ]
}

 The dataset includes 26520 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046037-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16904/envidat.544
title: SwissRad10 Hourly light availability maps at 10 m resolution over Switzerland

description: The SwissRad10 dataset contains light availability maps at 10 m and hourly resolution across an entire annual cycle with wall-to-wall coverage across the whole of Switzerland. 
Areas below and within 25 m of forests include light availability calculated for both leaf-on and leaf-off canopy structure, and terrain only data is available across the full domain. 
The variables sky-view factor and direct-beam transmissivity are both included, allowing estimation of both direct and diffuse light at the ground surface. 
The dataset was calculated using the detailed synthetic hemispheric image-based ray-tracing Canopy Radiation Model (CanRad) with the latest airborne lidar and terrain surface data from the swissSURFACE3D dataset.
description: Resource Title: Data Download
 Size: 1374389534720 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvidat-doi%2F&prefix=10.16904_envidat.544%2FSwissRad10%2F
 Description:
DOI: 10.16904/envidat.718
title: Raw data-A recent ash dieback infection neither affects emerald ash borer performance nor triggers a substantial systemic phytochemical defense response in European ash

description: Raw data of paper: A recent ash dieback infection neither affects emerald ash borer
performance nor triggers a substantial systemic phytochemical
defense response in European ash (https://doi.org/10.1007/s10340-025-01981-4)
Raw data on emerald ash borer (EAB) weight gain, mortality, development and longevity. Raw data of ash phloem and leaf chemistry. Raw data of ash dieback (ADB) lesion length.
description: Resource Title: Open access raw data Eisenring et al 2025.xlsx
 Size: 8011121 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/6fdd7d1a-9b27-42bf-ae9d-2846bb017765/resource/3bae653d-4e61-4669-b3c3-9c12f677a04d/download/open-access-raw-data-eisenring-et-al-2025.xlsx
 Description:
DOI: 10.15468/dl.7qkkt3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protodrilus litoralis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046039-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17886338
title: 2020 IMPACTS 2DS Individual Particle Measurements, Habits, and Size Distributions

description: Morphological measurements for particles detected by the horizontal channel of the 2-Dimensional Stereo Probe (2DS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in H_1.nc are individual particle files, while files ending in H.2DS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (https://doi.org/10.1029/2024JD040895), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).

Updated on 10 December 2025 to add data for 5 February 2020.

Some additional notes on habits

The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:

0: sphere

1: column/needle

2: rejected

3: tiny

4: plate

5: irregular

6: graupel

7: dendrite

8: aggregate

9: center-out

 

 

The individual particle files have numeric codes for various habits. These codes refer to the following habits:

 

77: missing

67: center-out

116: tiny

111: rejected

108: column/needle

97: aggregate

103: graupel

115: sphere

104: plate105: irregular100: dendrite
DOI: 10.5281/zenodo.12812863
title: 2020 IMPACTS 2DS Individual Particle Measurements, Habits, and Size Distributions

description: Morphological measurements for particles detected by the horizontal channel of the 2-Dimensional Stereo Probe (2DS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in H_1.nc are individual particle files, while files ending in H.2DS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (https://doi.org/10.1029/2024JD040895), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).

Updated on 10 December 2025 to add data for 5 February 2020.

Some additional notes on habits

The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:

0: sphere

1: column/needle

2: rejected

3: tiny

4: plate

5: irregular

6: graupel

7: dendrite

8: aggregate

9: center-out

 

 

The individual particle files have numeric codes for various habits. These codes refer to the following habits:

 

77: missing

67: center-out

116: tiny

111: rejected

108: column/needle

97: aggregate

103: graupel

115: sphere

104: plate105: irregular100: dendrite
DOI: 10.15468/dl.kcheat
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmothoe profunda",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046040-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aaxj5k
title: Occurrence Download

description: A dataset listing the 32 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario Etnobotánico de Piedemonte Andino-Amazónico Jajen Saima'a del Instituto Tecnológico del Putumayo"
 ]
}

 The dataset's 32 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046034-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94qucu
title: Occurrence Download

description: A dataset containing 9305 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lutjanus kasmira"
 ]
}

 The dataset includes 9305 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046042-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ycpfg
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linopherus microcephala",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046043-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17874989
title: The c√α ↔ Ω₀√α Duality and the Cosmological Constant: Infinite Torsion-Time Interference in Generalized Mass as Twisted Time (G-MaTT)

description: Abstract  

We demonstrate that the same braid-overlap mechanism responsible for the dark-matter velocity threshold \(v_{\text{crit}} = c\sqrt{\alpha/w}\) (Yeo, 2025a) admits an exact frequency dual  \[\omega_{\text{crit}} = \frac{\Omega_0}{2\pi w} \sqrt{\alpha}, \qquad \Omega_0 = c^5/(\hbar G).\]Vacuum modes above this frequency are exponentially suppressed by the Twist-Untwist Threshold (TUT) weight.  Representing braid excitations by their **torsion time-difference spectrum** δt rather than discrete winding number w permits a quasi-continuous, infinitely dense set of Fourier towers. Numerical integration of 10⁶ such towers with random relative phases yields destructive interference in the high-frequency tail that is **two orders of magnitude stronger** than finite-w discretizations. In the continuum limit, the residual energy density of unsuppressed modes scales as 1/N_eff, providing a geometric mechanism capable of reducing the naïve Planck-scale vacuum energy (∼10³⁴ J m⁻³) to the observed dark-energy scale (∼10⁻¹⁰ J m⁻³) without supersymmetry, anthropic selection, or adjustable parameters. The cosmological constant therefore emerges as the interference silence of an infinite ensemble of torsion-time excitations.
DOI: 10.5281/zenodo.17888061
title: The c√α ↔ Ω₀√α Duality and the Cosmological Constant: Infinite Torsion-Time Interference in Generalized Mass as Twisted Time (G-MaTT)

description: Abstract  

We demonstrate that the same braid-overlap mechanism responsible for the dark-matter velocity threshold \(v_{\text{crit}} = c\sqrt{\alpha/w}\) (Yeo, 2025a) admits an exact frequency dual  \[\omega_{\text{crit}} = \frac{\Omega_0}{2\pi w} \sqrt{\alpha}, \qquad \Omega_0 = c^5/(\hbar G).\]Vacuum modes above this frequency are exponentially suppressed by the Twist-Untwist Threshold (TUT) weight.  Representing braid excitations by their **torsion time-difference spectrum** δt rather than discrete winding number w permits a quasi-continuous, infinitely dense set of Fourier towers. Numerical integration of 10⁶ such towers with random relative phases yields destructive interference in the high-frequency tail that is **two orders of magnitude stronger** than finite-w discretizations. In the continuum limit, the residual energy density of unsuppressed modes scales as 1/N_eff, providing a geometric mechanism capable of reducing the naïve Planck-scale vacuum energy (∼10³⁴ J m⁻³) to the observed dark-energy scale (∼10⁻¹⁰ J m⁻³) without supersymmetry, anthropic selection, or adjustable parameters. The cosmological constant therefore emerges as the interference silence of an infinite ensemble of torsion-time excitations.
DOI: 10.15468/dl.4ax5bx
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syllis bella",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046044-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6nr77
title: Occurrence Download

description: A dataset containing 2981043028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 2981043028 records from 67128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045420-251120083545085/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.24787242
title: Supplementary Tables: Glowing Wonders: Exploring the Diversity and Ecological Significance of Bioluminescent Organisms in Brazil

description: Bioluminescence, the emission of light by living organisms, is a captivating and widespread phenomenon with diverse ecological functions. This comprehensive review explores the biodiversity, mechanisms, ecological roles, and conservation challenges of bioluminescent organisms in Brazil, a country known for its vast and diverse ecosystems. From the enchanting glow of fireflies and glow-in-the-dark mushrooms to the mesmerizing displays of marine dinoflagellates and jellyfish, Brazil showcases a remarkable array of bioluminescent species. Understanding the biochemical mechanisms and enzymes involved in bioluminescence enhances our knowledge of their evolutionary adaptations and ecological functions. However, habitat loss, climate change, and photopollution pose significant threats to these bioluminescent organisms. Conservation measures, interdisciplinary collaborations, and responsible lighting practices are crucial for their survival. Future research should focus on identifying endemic species, studying environmental factors influencing bioluminescence, and developing effective conservation strategies. Through interdisciplinary collaborations, advanced technologies, and increased funding, Brazil can unravel the mysteries of its bioluminescent biodiversity, drive scientific advancements, and ensure the long-term preservation of these captivating organisms.
DOI: 10.6084/m9.figshare.24787242.v1
title: Supplementary Tables: Glowing Wonders: Exploring the Diversity and Ecological Significance of Bioluminescent Organisms in Brazil

description: Bioluminescence, the emission of light by living organisms, is a captivating and widespread phenomenon with diverse ecological functions. This comprehensive review explores the biodiversity, mechanisms, ecological roles, and conservation challenges of bioluminescent organisms in Brazil, a country known for its vast and diverse ecosystems. From the enchanting glow of fireflies and glow-in-the-dark mushrooms to the mesmerizing displays of marine dinoflagellates and jellyfish, Brazil showcases a remarkable array of bioluminescent species. Understanding the biochemical mechanisms and enzymes involved in bioluminescence enhances our knowledge of their evolutionary adaptations and ecological functions. However, habitat loss, climate change, and photopollution pose significant threats to these bioluminescent organisms. Conservation measures, interdisciplinary collaborations, and responsible lighting practices are crucial for their survival. Future research should focus on identifying endemic species, studying environmental factors influencing bioluminescence, and developing effective conservation strategies. Through interdisciplinary collaborations, advanced technologies, and increased funding, Brazil can unravel the mysteries of its bioluminescent biodiversity, drive scientific advancements, and ensure the long-term preservation of these captivating organisms.
DOI: 10.6084/m9.figshare.29882366.v1
title: MP-EVData：An AI-Augmented Dataset of Multi-Prototype Electric Vehicle Charging Load Profiles in China

description: The large-scale integration of electric vehicles (EVs) presents significant challenges to power grid stability, necessitating high-quality, diverse charging datasets for effective modeling and management. To address this need, we introduce MP-EVData, a comprehensive dataset of station-level charging load profiles from a major Chinese metropolis, covering the full 2024 calendar year. Its core innovation lies in providing co-located and co-temporal data for 10 stations representing five distinct prototypes: taxi demonstration stations, bus depots, residential charging stations, battery swapping stations, and heavy-duty truck stations. This unique structure eliminates confounding geographical, climatic, and policy variables, enabling direct comparative analysis of their load characteristics. Furthermore, the dataset is augmented with a parallel, high-fidelity synthetic dataset generated using advanced generative AI models to support data-intensive research. Technical validation reveals highly distinct daily, weekly, and annual temporal patterns across prototypes and demonstrates clear price-responsive charging behavior under time-of-use pricing. MP-EVData provides a crucial benchmark for advancing research in load forecasting, smart charging algorithms, and urban infrastructure planning.
DOI: 10.15468/dl.g3ceuu
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scoloplos cylindrifer",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 144 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046045-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3fsyc
title: Occurrence Download

description: A dataset containing 6509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, Germany)",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bos taurus"
 ]
}

 The dataset includes 6509 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046046-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17888085
title: MESO-SCOPE cruise, Hyperpro Profiles

description: The Satlantic (now Seabird) HyperPro is an in-situ free-fall profiling unit designed to measure the apparent optical properties of the ocean with concurrent measurements of temperature, salinity, chlorophyll and dissolved matter fluorescence, and optical backscattering (a proxy for total particle load). The unit is equipped with one up-looking and one down-looking hyperspectral (350-800nm) radiometer with 10 ± 0.3 nm resolution, a WET Labs ECO-Puck Triplet, and temperature, pressure, and conductivity sensors. It also incorporates a ship-mounted surface (air) hyperspectral radiometer.  These data are collated from the vertical profiles conducted during the MESO-SCOPE cruise in the north Pacific Ocean.
DOI: 10.5281/zenodo.17888086
title: MESO-SCOPE cruise, Hyperpro Profiles

description: The Satlantic (now Seabird) HyperPro is an in-situ free-fall profiling unit designed to measure the apparent optical properties of the ocean with concurrent measurements of temperature, salinity, chlorophyll and dissolved matter fluorescence, and optical backscattering (a proxy for total particle load). The unit is equipped with one up-looking and one down-looking hyperspectral (350-800nm) radiometer with 10 ± 0.3 nm resolution, a WET Labs ECO-Puck Triplet, and temperature, pressure, and conductivity sensors. It also incorporates a ship-mounted surface (air) hyperspectral radiometer.  These data are collated from the vertical profiles conducted during the MESO-SCOPE cruise in the north Pacific Ocean.
DOI: 10.15468/dl.sbevvs
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atelopus coynei"
 ]
}

 The dataset includes 286 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046047-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17823714
title: Main data repository for Comparative mitochondrial proteomics across the tree of life reveals evolutionary, functional, and therapeutic insights

description: This repository contains the input and processed datasets used in the study “Comparative mitochondrial proteomics across the tree of life reveals evolutionary, functional, and therapeutic insights”, part of the MitoCarta Tree of Life (MitoTOL) project. The dataset spans 673 eukaryotic species and 34 downsampled prokaryotic groups and supports analyses of mitochondrial protein evolution, orthogroup inference, phylogenetic profiling, ancestral reconstructions, and eukaryogenesis timing.

The archive includes:

data.tar.gz — Primary datasets organized by analysis type, including orthogroup inference, phylogenetically-resolved orthogroup inference, DeepLoc retraining and prediction, phylogenetic profiling, taxonomic metadata, HGT, and reconstruction outputs.

alignments_and_initial_trees.tar.gz — Protein FASTA files, multiple sequence alignments, and maximum-likelihood phylogenies for each orthogroup.

pruned_rooted_trees.tar.gz — Pruned and rooted trees used for downstream reconciliation and timing analyses.

reconciled_consensus_trees_with_supports.tar.gz — Reconciled consensus protein trees with optimized branch lengths and node support values, along with pruned MSAs used to infer branch lengths.

reconciled_consensus_trees_for_Archaeplastida_timing.tar.gz — Reconciled consensus protein trees with optimized branch lengths for Archaeplastida-level timing inferences.

reconciled_consensus_trees_for_LECA_timing.tar.gz — Reconciled consensus protein trees with optimized branch lengths for LECA-level timing analyses.

reconciled_consensus_trees_branch_length_optimization_with_supports.tar.gz — AleRax reconciliation outputs, including samples of reconciled trees and majority-rule consensus trees.

species_fastas.tar.gz — Protein FASTA files for all eukaryotic species and prokaryotic groups included in the study.

All datasets follow consistent naming conventions (e.g., [Orthogroup_ID], [PhROG_ID], [TAXONOMY_ID]). Detailed documentation of file contents is provided in the accompanying README.txt.

The full computational workflow, including scripts for alignment, tree inference, reconciliation, phylogenetic profiling, and ancestral reconstructions, is available at:https://github.com/michaelzhuchen/mito-evolution

Please cite this dataset using 10.5281/zenodo.17823714.