cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2pfm8c3kgp.1
title: Website movie data

description: website_data.zip contains Image and Text Introduction Data of Movies in eleven sites

dataset.zip is a training set of text and images.
DOI: 10.26169/hplus.portdouvot_brillouin_a-dts_experiment_2023
title: Acquired dataset collected for the Brillouin A-DTS experiment. Auverwatch, Port-Douvot.

description: We provide the dataset published in Labbe et al. (JoH, 2026) corresponding to an A-DTS experiment carried out on the experimental site of Port-Douvot (Besançon, France), in an alluvial aquifer. The dataset includes Brillouin absolute frequency measurements, groundwater temperatures, high definition images of an alluvial core sample, and an electrical resistivity tomography profile acquired during the A-DTS experiment.
DOI: 10.17632/vznmc6vtrg
title: Elongation Ratios & Fractal Dimension Data For Marine Snow Particles In The NE Gulf Of Mexico

description: Marine snow images were collected using the towed SIPPER v.3 camera system, which was developed by the College of Marine Science, University of South Florida, to assess the abundance and distribution of particles, phytoplankton, zooplankton, and larval fish (Remsen et al., 2004). Particles were sampled through a square 9.6 cm sampling tube, having a 92.2 cm2 mouth area, which extended in front of the towed platform. As particles passed down the tube they were imaged by a Dalsa Piranha-2 line-scan camera, which imaged 36,000 lines per second and used a pseudo-collimated LED generated light sheet to image the shadows and outlines of resolvable particles. The Plankton Imaging Classification Extraction Software (PICES) was used to extract and classify SIPPER images using a Support Vector Machines (SVM) approach, and to manage the images and environmental data collected (Kramer, 2010). A total of 117,058,275 marine snow images were validated for this project. All particles &gt; 0.053 mm2 (area of 100 pixels) were extracted. 

This dataset provides measures of marine snow particle shape (elongation) and surface roughness (fractal dimension) during and after the Deepwater Horizon oil spill between May 2010 and August 2014. Elongation ratios (ER) were determined as ER = 1 - aspect ratio, where the aspect ratio is the minor axis length of the particle over the major axis length. Fractal dimension were used to assess the surface roughness or boundary irregularity of particles and were computed using a variation of the box counting method in which the grid comprised rectangular boxes maintaining the same aspect ratio as the particle (Kilps et al. 1994, Brown 1995). 

File names are: NormalizedDataReport_Cruise name_Station name. Both elongation ratios and fractal dimensions are ratios and therefore do not have units. Depth is in meters; Volume sampled is in m^3; ESDbinstart is the Equivalent Spherical Diameter (ESD) of the particle at the beginning of a size range; ESDbinend is the end of the size range; Particle size is in millimeters; TotalNumberOfParticlesAtDepthESD is the total number of particles in the size range at the listed depth (no units); Elongation is the elongation ratio (no units) of particles in the size range an the listed depth; FractalDim is the fractal dimension of the particles (no units); Abundance is the number of particles in the ESD size range at the listed depth having the listed elongation ratio and fractal dimension.
DOI: 10.17632/vznmc6vtrg.1
title: Elongation Ratios & Fractal Dimension Data For Marine Snow Particles In The NE Gulf Of Mexico

description: Marine snow images were collected using the towed SIPPER v.3 camera system, which was developed by the College of Marine Science, University of South Florida, to assess the abundance and distribution of particles, phytoplankton, zooplankton, and larval fish (Remsen et al., 2004). Particles were sampled through a square 9.6 cm sampling tube, having a 92.2 cm2 mouth area, which extended in front of the towed platform. As particles passed down the tube they were imaged by a Dalsa Piranha-2 line-scan camera, which imaged 36,000 lines per second and used a pseudo-collimated LED generated light sheet to image the shadows and outlines of resolvable particles. The Plankton Imaging Classification Extraction Software (PICES) was used to extract and classify SIPPER images using a Support Vector Machines (SVM) approach, and to manage the images and environmental data collected (Kramer, 2010). A total of 117,058,275 marine snow images were validated for this project. All particles &gt; 0.053 mm2 (area of 100 pixels) were extracted. 

This dataset provides measures of marine snow particle shape (elongation) and surface roughness (fractal dimension) during and after the Deepwater Horizon oil spill between May 2010 and August 2014. Elongation ratios (ER) were determined as ER = 1 - aspect ratio, where the aspect ratio is the minor axis length of the particle over the major axis length. Fractal dimension were used to assess the surface roughness or boundary irregularity of particles and were computed using a variation of the box counting method in which the grid comprised rectangular boxes maintaining the same aspect ratio as the particle (Kilps et al. 1994, Brown 1995). 

File names are: NormalizedDataReport_Cruise name_Station name. Both elongation ratios and fractal dimensions are ratios and therefore do not have units. Depth is in meters; Volume sampled is in m^3; ESDbinstart is the Equivalent Spherical Diameter (ESD) of the particle at the beginning of a size range; ESDbinend is the end of the size range; Particle size is in millimeters; TotalNumberOfParticlesAtDepthESD is the total number of particles in the size range at the listed depth (no units); Elongation is the elongation ratio (no units) of particles in the size range an the listed depth; FractalDim is the fractal dimension of the particles (no units); Abundance is the number of particles in the ESD size range at the listed depth having the listed elongation ratio and fractal dimension.
DOI: 10.17632/z4wyhjcwcy
title: Marine snow particle area: size distribution in the NE Gulf of Mexico August 2010-August 2014

description: Date (local and GMT), Time (local and GMT), Latitude (decimal degrees N), Longitude (decimal degrees W), Station, Depth of images (m), Volume filtered (m^3), Marine snow particle size (area mm2), Abundance (count/m^3). Files names are CruiseDate (Month/Year)_Station: WB0810_DSH08.

SIPPER used a high speed Dalsa Piranha-2 line-scan camera and a pseudo-collimated LED generated light sheet to image the shadows and outlines of resolvable particles that passed through a 100 cm2 field of view. The operational optical resolution of the system is ~65 um. SIPPER was towed at speeds between 2-3 knots in an oblique profile through the water column, spending approximately equal amounts of time at each meter of depth between the surface and 300 m. At stations with a bottom depth shallower than 300 m, SIPPER was towed within approximately 5 m from the seafloor. Imaging and environmental data were stored internally on a Firewire hard drive and processed upon retrieval of the SIPPER instrument from a deployment using a customized software package called the Plankton Image Classification and Extraction Software (PICES). PICES was used to extract images of interest, classify them using user-specified training libraries and to manage the SIPPER images and environmental data collected. The particle size spectra show the size dependence of particles and follows the methods described in Jackson & Burd (1998) and Jackson & Checkley (2011). A normalized particle volume spectrum (nVd) was calculated, where n is particle abundance, V is particle volume, and d is the median particle diameter within each size bin. Pixel width of images was fixed, while pixel length took into account the flow rate and scan rate. The pixel area of each image was determined, and the equivalent spherical diameter (ESD) and volume (V) were calculated based on the optical cross-section. The ESD is defined as the diameter of a circle having the same area as the projected image of the particle (Billiones et al., 1999). Particle diameter (d) size bins ranged from 0.100 to 105.12 mm, where each bin size increased in a geometric progression by about 6% (bin size scale, k = 21/12) over the previous one, since the number of large particles is rare compared to the abundance of smaller sized particles. Normalizing the abundance data (n) to volume (V) gives more weight to larger sized particles.

SIPPER Environmental Sensors. Environmental data were collected simultaneously with the SIPPER imaging system during each deployment. Sensors included a Seabird 19Plus CTD, Seabird SBE43 oxygen sensor, and WET Labs FLNTURTD chlorophyll fluorescence and turbidity, and a transmissometer. AWET Labs CDOM sensor also was used on a few cruises. Sensors were calibrated at Seabird and WET Labs and then integrated into the SIPPER towed platform.
DOI: 10.17632/z4wyhjcwcy.1
title: Marine snow particle area: size distribution in the NE Gulf of Mexico August 2010-August 2014

description: Date (local and GMT), Time (local and GMT), Latitude (decimal degrees N), Longitude (decimal degrees W), Station, Depth of images (m), Volume filtered (m^3), Marine snow particle size (area mm2), Abundance (count/m^3). Files names are CruiseDate (Month/Year)_Station: WB0810_DSH08.

SIPPER used a high speed Dalsa Piranha-2 line-scan camera and a pseudo-collimated LED generated light sheet to image the shadows and outlines of resolvable particles that passed through a 100 cm2 field of view. The operational optical resolution of the system is ~65 um. SIPPER was towed at speeds between 2-3 knots in an oblique profile through the water column, spending approximately equal amounts of time at each meter of depth between the surface and 300 m. At stations with a bottom depth shallower than 300 m, SIPPER was towed within approximately 5 m from the seafloor. Imaging and environmental data were stored internally on a Firewire hard drive and processed upon retrieval of the SIPPER instrument from a deployment using a customized software package called the Plankton Image Classification and Extraction Software (PICES). PICES was used to extract images of interest, classify them using user-specified training libraries and to manage the SIPPER images and environmental data collected. The particle size spectra show the size dependence of particles and follows the methods described in Jackson & Burd (1998) and Jackson & Checkley (2011). A normalized particle volume spectrum (nVd) was calculated, where n is particle abundance, V is particle volume, and d is the median particle diameter within each size bin. Pixel width of images was fixed, while pixel length took into account the flow rate and scan rate. The pixel area of each image was determined, and the equivalent spherical diameter (ESD) and volume (V) were calculated based on the optical cross-section. The ESD is defined as the diameter of a circle having the same area as the projected image of the particle (Billiones et al., 1999). Particle diameter (d) size bins ranged from 0.100 to 105.12 mm, where each bin size increased in a geometric progression by about 6% (bin size scale, k = 21/12) over the previous one, since the number of large particles is rare compared to the abundance of smaller sized particles. Normalizing the abundance data (n) to volume (V) gives more weight to larger sized particles.

SIPPER Environmental Sensors. Environmental data were collected simultaneously with the SIPPER imaging system during each deployment. Sensors included a Seabird 19Plus CTD, Seabird SBE43 oxygen sensor, and WET Labs FLNTURTD chlorophyll fluorescence and turbidity, and a transmissometer. AWET Labs CDOM sensor also was used on a few cruises. Sensors were calibrated at Seabird and WET Labs and then integrated into the SIPPER towed platform.
DOI: 10.15468/dl.kyfmtq
title: Occurrence Download

description: A dataset containing 15586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Araneae"
 ]
}

 The dataset includes 15586 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000127-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/rntvg5
title: Data_Set_103390s25226814_Fig2_20251103_V0

description: Figure 2 - DSC analysis results: AA 2024 alloy (green curve), microscope glass slides (blue curve) and hybrid fiber (black curve).
DOI: 10.57745/ctqpxt
title: Data_Set_103390s25226814_Fig3_20251103_V0.png

description: Figure 3 - Cross-section of fibers drawn at Vdrum: (a) 6.0 m.min−1, (b) 8.4 m.min−1, (c) 8.75 m.min−1 and (d) 13.0 m.min−1.
DOI: 10.57745/nzhrv8
title: Data_Set_103390s25226814_Fig7_20251103_V0.png

description: Figure 7 - (a) Schematic representation of the experimental setup. (b) Example of OE spectrum recorded after 540 s of plasma discharge in air (inter-electrode spacing: 75 µm).
DOI: 10.57745/8nu3fb
title: Data_Set_103390s25226814_Fig3_20251103_V0.tab

description: Data set of figure 3.
DOI: 10.57745/nx34oa
title: Data_Set_103390s25226814_Fig2_20251103_V0.tab

description: Data set of figure 2.
DOI: 10.57745/pkssqh
title: Data_Set_103390s25226814_Fig7_20251103_V0.tab

description: Data set of figure 7.
DOI: 10.57745/epnvb5
title: Data_Set_103390s25226814_ReadMe_20251103_V0.txt

description: Read Me file
DOI: 10.57745/j4wjvb
title: Dual-electrode glass Ribbons intended for use in microplasma-based sensors

description: Dataset production context: The combination of microplasma generation and optical multi-material fiber technologies enables real-time diagnostics. The stack-and-draw technique has emerged as a promising method for creating multimaterial fibers suitable for plasma-based diagnostics. The elaboration of such devices for the generation of long-lasting microplasma for real-time and remote analyses remains challenging due to the difficulties of reaching long lengths without defects and with continuous electrodes. Post-functionalization of the electrode surface is also required to increase the plasma emission duration. In this study, glass was preferred over polymers for producing rectangular fibers (ribbons) that are easy to stack without wasting space and are resistant to high operating temperatures. Conversely, an aluminum alloy was chosen for the electrodes to reduce discontinuity defects. With the chosen bi-electrode geometry, the cooling rate during drawing has to remain between 200 and 300 °C/s to limit defect formation and guarantee low electrical resistivity. During plasma generation, an in situ oxide layer forms on the tip of each electrode. This results in a significant increase in plasma emission duration without the need for an additional post-functionalization step after drawing. These ribbons were tested in combination with an optical emission spectrometer to create a miniature gas detector for hydrocarbons. For more information see the article.
DOI: 10.5285/b533cba8-1c15-4324-823a-a8287b787365
title: Palaeointensity measurements from the Bourinot volcanic units (~505 Ma) and the Itabaiana dyke swarm (~525 Ma)

description: This dataset comprises palaeointensity measurements from the Bourinot volcanic units (~505 Ma) and the Itabaiana dyke swarm (~525 Ma), with associated palaeomagnetic and rock magnetic metadata.

The dataset covers Cambrian igneous units from two geographically distinct regions: the Bourinot volcanic sequence of Cape Breton Island, Nova Scotia (Avalonia), dated to ~505 Ma, and the Itabaiana dyke swarm of northeastern Brazil (Gondwana), dated to ~525 Ma. Together, these units sample magmatic rocks emplaced on separate palaeocontinental blocks during the early–middle Cambrian, providing geographically and tectonically independent constraints on geomagnetic field behaviour during this interval.

The Excel file contains specimen-level palaeomagnetic and palaeointensity measurement data from Cambrian igneous units. It includes stepwise laboratory measurement records for individual specimens, comprising directional data (declination and inclination), magnetic moment and vector components, and associated experimental metadata. Each row represents a single laboratory measurement step within demagnetisation or palaeointensity experiments (e.g. IZZI-type Thellier protocols).

The columns document specimen identifiers, experiment and method codes, instrument information, analysts, treatment conditions (thermal, alternating-field, and microwave where applicable), applied laboratory fields, measurement sequence, quality flags, and timestamps. Supporting metadata include citations, laboratory standards, and descriptive fields required for reproducibility and data reuse.

The dataset is formatted to be compatible with established palaeomagnetic data standards and supports reconstruction of full experimental workflows for palaeointensity analysis.
DOI: 10.6084/m9.figshare.31124893
title: <b>Genome-wide screening identifies CPA6 as a host factor essential for bovine enterovirus release via PI3K/AKT-FOXO1-mediated apoptosis</b>

description: Bovine enterovirus (BEV) is a globally prevalent pathogen causing respiratory and gastrointestinal diseases in cattle, often via co-infection, which threatens the livestock industry. However, the mechanisms of BEV-host interaction remain unclear, hindering precise control. Here, we performed a genome-wide CRISPR/Cas9 screen in MDBK cells and identified carboxypeptidase A6 (CPA6) as a key host factor: CPA6 knockout (CPA6-KO) significantly inhibited BEV-F replication (p &lt; 0.001), as shown by reduced viral titers, 5’UTR mRNA levels, and VP2 expression at the protein level—an effect reversed by CPA6 complementation. Mechanistically, CPA6 specifically regulates late BEV-F replication and viral particle release rather than entry. Flow cytometry and transmission electron microscopy results demonstrated that BEV-F infection induces apoptosis in wild-type cells, but this is suppressed in CPA6-KO cells. CPA6 deficiency activates the PI3K/AKT pathway, increasing phosphorylation and inactivation of FOXO1, thereby inhibiting apoptosis and viral release. In vivo, the CPA inhibitor 2-benzylsuccinic acid alleviated BEV-F-induced pathology in mice, reduced intestinal viral loads, and improved weight gain (p &lt; 0.001). In conclusion, this study identifies CPA6 as a critical host factor for BEV-F replication through genome-wide screening, clarifies its core role in viral particle release, elucidates the molecular mechanism by which it regulates BEV-F replication via PI3K/AKT-FOXO1-mediated apoptosis, and validates the potential of CPA6 as a therapeutic target for anti-BEV-F drugs. These findings provide novel insights into the BEV-host interaction and lay a foundation for the development of targeted antiviral strategies, offering a potential host-directed approach for combating picornavirus infections.
DOI: 10.6084/m9.figshare.31124893.v1
title: <b>Genome-wide screening identifies CPA6 as a host factor essential for bovine enterovirus release via PI3K/AKT-FOXO1-mediated apoptosis</b>

description: Bovine enterovirus (BEV) is a globally prevalent pathogen causing respiratory and gastrointestinal diseases in cattle, often via co-infection, which threatens the livestock industry. However, the mechanisms of BEV-host interaction remain unclear, hindering precise control. Here, we performed a genome-wide CRISPR/Cas9 screen in MDBK cells and identified carboxypeptidase A6 (CPA6) as a key host factor: CPA6 knockout (CPA6-KO) significantly inhibited BEV-F replication (p &lt; 0.001), as shown by reduced viral titers, 5’UTR mRNA levels, and VP2 expression at the protein level—an effect reversed by CPA6 complementation. Mechanistically, CPA6 specifically regulates late BEV-F replication and viral particle release rather than entry. Flow cytometry and transmission electron microscopy results demonstrated that BEV-F infection induces apoptosis in wild-type cells, but this is suppressed in CPA6-KO cells. CPA6 deficiency activates the PI3K/AKT pathway, increasing phosphorylation and inactivation of FOXO1, thereby inhibiting apoptosis and viral release. In vivo, the CPA inhibitor 2-benzylsuccinic acid alleviated BEV-F-induced pathology in mice, reduced intestinal viral loads, and improved weight gain (p &lt; 0.001). In conclusion, this study identifies CPA6 as a critical host factor for BEV-F replication through genome-wide screening, clarifies its core role in viral particle release, elucidates the molecular mechanism by which it regulates BEV-F replication via PI3K/AKT-FOXO1-mediated apoptosis, and validates the potential of CPA6 as a therapeutic target for anti-BEV-F drugs. These findings provide novel insights into the BEV-host interaction and lay a foundation for the development of targeted antiviral strategies, offering a potential host-directed approach for combating picornavirus infections.
DOI: 10.15468/dl.n9hyja
title: Occurrence Download

description: A dataset containing 2042 records in GBIF matching the query:
SELECT
 '105' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -16.25916876999866
 AND decimalLatitude &lt;= -12.166598047573723
 AND decimalLongitude &gt;= 121.42401691442299
 AND decimalLongitude &lt;= 127.90594956561445
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 2042 records were derived from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004898-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.