cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7yf53f
title: Occurrence Download

description: A dataset containing 2367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, United Kingdom of Great Britain and Northern Ireland, Spain)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "License is CC0 1.0",
 "TaxonKey is Sciurus Linnaeus, 1758",
 "Year 1975-2025"
 ]
}

 The dataset includes 2367 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015714-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9tnpy
title: Occurrence Download

description: A dataset containing 8903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanocorax cyanopogon (Wied-Neuwied, 1821)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8903 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015715-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11204336
title: Comparative analysis of commercial cleaning and disinfection formulations and protocols for effective eradication of biofilms formed by a Pseudomonas fluorescens strain isolated from a poultry meat plant

description: This dataset contains the raw data corresponding to the figures and tables of the publication doi:10.1016/j.foodcont.2024.110614
DOI: 10.5281/zenodo.11204337
title: Comparative analysis of commercial cleaning and disinfection formulations and protocols for effective eradication of biofilms formed by a Pseudomonas fluorescens strain isolated from a poultry meat plant

description: This dataset contains the raw data corresponding to the figures and tables of the publication doi:10.1016/j.foodcont.2024.110614
DOI: 10.57703/ce-6c6fq
title: R50

description: Sample R50, holographic measurement
DOI: 10.15468/dl.8q6wd2
title: Occurrence Download

description: A dataset containing 625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GadmGid is FRA.11.10_1",
 "TaxonKey is Helianthemum nummularium (L.) Mill.",
 "Year 2000-2025"
 ]
}

 The dataset includes 625 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015716-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15340946
title: US Vehicle Roadside Assistance Market 2025 To 2034

description: US Vehicle Roadside Assistance Market Size, Trends and Insights By Services (Towing, Flat Tire, Jump Start, Lockout, Fuel Delivery, Collision Assistance, Soft Repair, Tire Replacement, Battery Replacement, EV Charging, Fluid Delivery, Mobile Repair), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the US Vehicle Roadside Assistance Market analysis conducted by the CMI Team, the US Vehicle Roadside Assistance Market is expected to record a CAGR of 4.9% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 2.40 Billion. By 2034, the valuation is anticipated to reach USD 3.69 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=30430
DOI: 10.5281/zenodo.15340947
title: US Vehicle Roadside Assistance Market 2025 To 2034

description: US Vehicle Roadside Assistance Market Size, Trends and Insights By Services (Towing, Flat Tire, Jump Start, Lockout, Fuel Delivery, Collision Assistance, Soft Repair, Tire Replacement, Battery Replacement, EV Charging, Fluid Delivery, Mobile Repair), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the US Vehicle Roadside Assistance Market analysis conducted by the CMI Team, the US Vehicle Roadside Assistance Market is expected to record a CAGR of 4.9% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 2.40 Billion. By 2034, the valuation is anticipated to reach USD 3.69 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=30430
DOI: 10.6084/m9.figshare.28929926
title: Teacher humor and the mediating role of socio-emotional factors on emotional and motivational outcomes

description: We studied the longitudinal effects of different types of teacher humor and the mediating role of socio-emotional factors on emotional and motivational outcomes at high schools.
DOI: 10.57703/ce-prdmr
title: R52

description: Sample R52, holographic measurement.
DOI: 10.15468/dl.2hj4px
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Carex pichinchensis Kunth"
 ]
}

 The dataset includes 68 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015720-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvmg6s
title: Occurrence Download

description: A dataset containing 3166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteroglossus bitorquatus Vigors, 1826",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3166 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015719-250426092105405/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.28929935
title: baza danych

description: baza danych dla roku 2018 i 2023
DOI: 10.17861/aa1f43ee-2950-4fce-9140-5ace995893b0
title: AIRI denoiser shelves for PnP algorithms in high-dynamic range astronomical imaging

description: The dataset consists of non-expansive denoiser DNNs, underpinning the Plug-and-Play (PnP) algorithm AIRI for high-dynamic range astronomical imaging. 

Two denoiser shelves are available, each composed of 8 DNNs, trained for the removal of random white Gaussian noise, with mean zero and a fixed standard deviation in the list {3.2E-4, 1.6E-4, 8E-5, 4E-5, 2E-5, 1E-5, 5E-6, 2.5E-6}:

1) airi_astro-based_oaid_shelf: trained from optical astronomical images (NOIRLab/NSF/AURA/H.Schweiker/WIYN/T.A.Rector (University of Alaska Anchorage));
2) airi_mri-based_mrid_shelf: trained from medical images (NYU fastMRI Initiative database; Knoll et al. 2020).

Two sets of denoisers are provided for uncertainty quantification of AIRI, each composed of 14 realisations of DNN denoisers trained for the removal of random white Gaussian noise, with mean zero and standard deviation 1.6E-4:

1) airi_astro-based_oaid_uncertainty_quantification: trained from optical astronomical images;
2) airi_astro-based_mrid_uncertainty_quantification: trained from medical images.

All DNNs are available in ONNX format. They can be deployed for arbitrary image sizes, subject to hardware memory constraints.
DOI: 10.15468/dl.8w4s6s
title: Occurrence Download

description: A dataset containing 38914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Celeus flavescens (J.F.Gmelin, 1788)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38914 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015721-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17861/99b62a21-204d-4a54-89da-07d7f74be741
title: When R2D2 meets Cygnus A

description: Please note, this dataset has been replaced by dataset: 

https://doi.org/10.17861/a48e7cbb-88e8-42ac-a60b-3f7d65143622

Reconstruction of results of R2D2, a novel AI model for radio interferometric imaging, applied to real S-band observations of the celebrated radio galaxy Cygnus A with the Very Large Array.
The dataset consists of monochromatic images (estimated model images and residual dirty images) obtained by two proposed incarnations of the R2D2 model, and benchmark algorithms.

R2D2 models:
(1) R2D2 series, underpinned by U-Net blocks,
(2) R3D3 series, underpinned by novel R2D2-Net blocks.

Benchmark algorithms:
(1) U-Net, end-to-end DNN (also for term of R2D2 series),
(2) R2D2-Net: proposed by the authors, end-to-end DNN (also first term of R3D3 series),
(3) AIRI, PnP algorithm for RI (Terris et al. 2023),
(4) uSARA, sparsity-based algorithm for RI (Repetti & Wiaux 2020, Terris et al. 2023),
(5) CLEAN, multiscale (Offringa et al. 2014).
DOI: 10.17861/5a60f25b-d43b-4807-ba02-a69bc460db03
title: uSARA and AIRI reconstructions of selected ASKAP observations

description: This dataset consists of sub-band and full-band continuum restored images of selected public ASKAP observations covering three fields containing several radio sources of scientific interest. The selected observations (SB8275-15, SB9351-12, and SB9442-35) were imaged via an automated and parallel framework for wide-field intensity radio interferometry imaging which encapsulates two imaging algorithms: uSARA and AIRI. We also provide reconstructions made with the WSClean imager, for comparison purposes. Our imaging results for the three selected fields, imaged with the three different imaging algorithms (uSARA, AIRI, and WSClean), are also presented in animated GIFs to show how the reconstructed emission changes over the full observing frequency band. Spectral index maps of the sources Abell 3395, PKS 2014-55 (the X-shaped galaxy), and PKS 2130-538 (the dansing ghosts), are also included. 
FITS files can be viewed through image-viewing software such as DS9 or Aladin. GIF files are widely accessible through standard image and video editing programs and can be viewed directly through Pure.
DOI: 10.17861/b3a4ea6b-805c-4629-8c5c-fbb1f06ab53a
title: Unveiling structure in ESO 137–006: AIRI and uSARA reconstructions

description: The dataset consists of continuum images of the radio galaxy ESO 137-006, from the Norma cluster, obtained from about 19 GB of high-sensitivity data with the MeerKAT radio telescope at two sub-bands of the L-band, referred to as the `low' band, spanning the frequency range 961-1145 MHz and centred at 1053 MHz, and the `high' band, spanning the frequency range 1295-1503 MHz and centred at 1399 MHz. The formed images at both bands are of size 4096x4096, with a pixel resolution of about 1.68 arcsec and are obtained by the studied imaging algorithms uSARA and AIRI, underpinning the proposed parallel and automated framework for wide-field intensity imaging in radio interferometry. We provide reconstructions with the standard CLEAN as implemented in the WSClean imager, for comparison purposes.
DOI: 10.17861/33b4c743-256b-44ec-a557-d67e2209cb25
title: Dataset record replaced by updated record, see below.

description: This record has been replaced by the record https://doi.org/10.17861/e94f61c7-4950-4339-99a3-e6c3a820efdf
DOI: 10.17861/9602efb1-e426-4578-b02c-f825a4d38842
title: Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): Cygnus A wideband image at C band

description: Application of the wideband intensity imaging algorithm dubbed Faceted HyperSARA to large scale radio interferometric (RI) observations of the celebrated radio galaxy Cygnus A from the VLA telescope.
The dataset consists of wideband images of Cygnus A obtained from 7.4 GB of VLA data, spanning the frequency range [4,8] GHz, using the Faceted HyperSARA approach (Thouvenin et al. 2022a,b) and the benchmark methods.
We investigate the scalability and precision of the proposed algorithm via two experiments. The first experiment consists in the reconstruction of a 15 GB image cube over the field of view 2.56 arcmin x 1.536 arcmin, and at the spatial resolution 0.06 arcsec and full spectral resolution (8 MHz). Wideband images are obtained with Faceted HyperSARA and the benchmark imaging algorithm SARA (Onose et al. 2017). The second experiment consists in the reconstruction of a 3.6 GB image cube over the field of view 2.1709 arcmin x 3.6181 arcmin and at the spatial resolution 0.0424 arcsec and the reduced spectral resolution (128 MHz), leveraging a joint image and data dimensionality reduction technique via visibility gridding. 
Wideband images are obtained with Faceted HyperSARA and the benchmark method in the WSClean imager (Offringa & Smirnov 2017). All image cubes are provided in FITS format. GIF files for enhanced visual comparison of the different methods are also provided for both experiments.
DOI: 10.5281/zenodo.14651825
title: SAXS data for RTX719 K860R. Truncation construct of pertussis adenylate cyclase toxin

description: The SAXS measurements were done in a SAXSpoint 2.0 (Anton Paar, Graz, Austria) instrument, equipped with MetalJet C2 X-ray source (Excillum, Stockholm, Sweden) and Eiger R 1M (Dectris, Switzerland) detector. For the chromatographic separation of the oligomers and the monomeric species, an Akta GO (GE Healthcare) FPLC system with Superdex 200 Increase 10/300 column (GE Healthcare) was utilized. The chromatography was controlled automatically. The column was thoroughly equilibrated with the running buffer and the SAXS signal for buffer subtraction was also collected (2 hours) simultaneously. After loading the sample on the column, absorption of UV at 280nm was monitored (2 mm cell). Once the absorbance increased above 15 mAU, the flow rate in the system was reduced to 0.01ml/min and the sample was measured in a flow-through quartz capillary (2mm diameter), which enables in-situ UV-Vis spectroscopy using Cary 60 spectrometer (Agillent). SAXS and in-situ UV-Vis were continuously measured. The reduced scattering data was corrected to the fluctuation of primary beam, which was monitored using semi-transparent beamstop. 

File description:




File
Description




raw.tar.gz
Raw SAXS data as recorded by the instrument SAXSpoint 2.0


by_frame.tar.gz
Individual frames after 1D data reduction in DAT format


sec.tar.gz
Raw SEC data as recorded by  Akta GO


uv.tar.gz
UV absorption data collected in the SAXS interaction point, as recorded by CaryUV 60


chromatograph.png
SEC and UV chromatographs with time
DOI: 10.5281/zenodo.14651826
title: SAXS data for RTX719 K860R. Truncation construct of pertussis adenylate cyclase toxin

description: The SAXS measurements were done in a SAXSpoint 2.0 (Anton Paar, Graz, Austria) instrument, equipped with MetalJet C2 X-ray source (Excillum, Stockholm, Sweden) and Eiger R 1M (Dectris, Switzerland) detector. For the chromatographic separation of the oligomers and the monomeric species, an Akta GO (GE Healthcare) FPLC system with Superdex 200 Increase 10/300 column (GE Healthcare) was utilized. The chromatography was controlled automatically. The column was thoroughly equilibrated with the running buffer and the SAXS signal for buffer subtraction was also collected (2 hours) simultaneously. After loading the sample on the column, absorption of UV at 280nm was monitored (2 mm cell). Once the absorbance increased above 15 mAU, the flow rate in the system was reduced to 0.01ml/min and the sample was measured in a flow-through quartz capillary (2mm diameter), which enables in-situ UV-Vis spectroscopy using Cary 60 spectrometer (Agillent). SAXS and in-situ UV-Vis were continuously measured. The reduced scattering data was corrected to the fluctuation of primary beam, which was monitored using semi-transparent beamstop. 

File description:




File
Description




raw.tar.gz
Raw SAXS data as recorded by the instrument SAXSpoint 2.0


by_frame.tar.gz
Individual frames after 1D data reduction in DAT format


sec.tar.gz
Raw SEC data as recorded by  Akta GO


uv.tar.gz
UV absorption data collected in the SAXS interaction point, as recorded by CaryUV 60


chromatograph.png
SEC and UV chromatographs with time
DOI: 10.5281/zenodo.14651652
title: SAXS data for RTX719.Truncation construct of pertussis adenylate cyclase toxin

description:  The SAXS measurements were done in a SAXSpoint 2.0 (Anton Paar, Graz, Austria) instrument, equipped with MetalJet C2 X-ray source (Excillum, Stockholm, Sweden) and Eiger R 1M (Dectris, Switzerland) detector. For the chromatographic separation of the oligomers and the monomeric species, an Akta GO (GE Healthcare) FPLC system with Superdex 200 Increase 10/300 column (GE Healthcare) was utilized. The chromatography was controlled automatically. The column was thoroughly equilibrated with the running buffer and the SAXS signal for buffer subtraction was also collected (2 hours) simultaneously. After loading the sample on the column, absorption of UV at 280nm was monitored (2 mm cell). Once the absorbance increased above 15 mAU, the flow rate in the system was reduced to 0.01ml/min and the sample was measured in a flow-through quartz capillary (2mm diameter), which enables in-situ UV-Vis spectroscopy using Cary 60 spectrometer (Agillent). SAXS and in-situ UV-Vis were continuously measured. The reduced scattering data was corrected to the fluctuation of primary beam, which was monitored using semi-transparent beamstop. 

File description:




File
Description




raw.tar.gz
Raw SAXS data as recorded by the instrument SAXSpoint 2.0


by_frame.tar.gz
Individual frames after 1D data reduction in DAT format


sec.tar.gz
Raw SEC data as recorded by  Akta GO


uv.tar.gz
UV absorption data collected in the SAXS interaction point, as recorded by CaryUV 60


chromatograph.png
SEC and UV chromatographs with time
DOI: 10.5281/zenodo.14651653
title: SAXS data for RTX719.Truncation construct of pertussis adenylate cyclase toxin

description:  The SAXS measurements were done in a SAXSpoint 2.0 (Anton Paar, Graz, Austria) instrument, equipped with MetalJet C2 X-ray source (Excillum, Stockholm, Sweden) and Eiger R 1M (Dectris, Switzerland) detector. For the chromatographic separation of the oligomers and the monomeric species, an Akta GO (GE Healthcare) FPLC system with Superdex 200 Increase 10/300 column (GE Healthcare) was utilized. The chromatography was controlled automatically. The column was thoroughly equilibrated with the running buffer and the SAXS signal for buffer subtraction was also collected (2 hours) simultaneously. After loading the sample on the column, absorption of UV at 280nm was monitored (2 mm cell). Once the absorbance increased above 15 mAU, the flow rate in the system was reduced to 0.01ml/min and the sample was measured in a flow-through quartz capillary (2mm diameter), which enables in-situ UV-Vis spectroscopy using Cary 60 spectrometer (Agillent). SAXS and in-situ UV-Vis were continuously measured. The reduced scattering data was corrected to the fluctuation of primary beam, which was monitored using semi-transparent beamstop. 

File description:




File
Description




raw.tar.gz
Raw SAXS data as recorded by the instrument SAXSpoint 2.0


by_frame.tar.gz
Individual frames after 1D data reduction in DAT format


sec.tar.gz
Raw SEC data as recorded by  Akta GO


uv.tar.gz
UV absorption data collected in the SAXS interaction point, as recorded by CaryUV 60


chromatograph.png
SEC and UV chromatographs with time
DOI: 10.57903/uj/q5yuvy
title: Grammatical gender assignment in L2 French by speakers of Polish

description: This study assessed the relative impact of three factors on grammatical gender assignment for nouns in L2 French by Polish learners in cases when the gender of the noun is unknown to the learner. Those three factors are as follows: the form of the noun, transfer effects from the first language (L1), and the assignment of masculine by default.
DOI: 10.15468/dl.knd9xb
title: Occurrence Download

description: A dataset containing 608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GadmGid is FRA.7.5_1",
 "TaxonKey is Helianthemum nummularium (L.) Mill.",
 "Year 2000-2025"
 ]
}

 The dataset includes 608 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015722-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15340901
title: "Spot the Glacial Lake'' with the magic of SAR and Deep Learning

description: Description:This repository contains the dataset, model weights, and code for GLDeepNet, a fully automated deep convolutional neural network (DCNN) designed for accurate and scalable glacial lake mapping. The approach leverages publicly accessible satellite datasets—including multispectral, thermal, SAR (microwave), and digital elevation models (DEMs)—to enable efficient, cost-effective analysis of glacial lakes, particularly in high-mountain Asia.

Key Features:





Automated Deep Learning Model: GLDeepNet uses a 2D convolutional architecture with optimized hyperparameters for glacial lake segmentation.




Comprehensive Pre-processing Pipeline: Includes optimal spectral band selection and SAR-specific transformations.




Post-processing Enhancements: Morphological operations are applied to refine the detected lake boundaries.




High Performance: Achieves an accuracy of 0.98, precision of 0.90, recall of 0.94, and R² of 0.91 compared to reference data.




Robust Cross-Regional Testing: Trained on 1,050 images from the eastern Himalayas and tested on 750 images from the more vulnerable north-central Himalayan region.



Applications:The dataset and model support large-scale glacial lake mapping and monitoring, offering critical insights for glacier retreat analysis and risk assessment of glacier lake outburst floods (GLOFs).

Licensing and Citation:Please cite the accompanying publication or this Zenodo record when using the code or data in academic work.

Contact:For questions or collaboration inquiries, contact Subhranil Mustafi at <subhranil_r@isical.ac.in>.
DOI: 10.5281/zenodo.15340902
title: "Spot the Glacial Lake'' with the magic of SAR and Deep Learning

description: Description:This repository contains the dataset, model weights, and code for GLDeepNet, a fully automated deep convolutional neural network (DCNN) designed for accurate and scalable glacial lake mapping. The approach leverages publicly accessible satellite datasets—including multispectral, thermal, SAR (microwave), and digital elevation models (DEMs)—to enable efficient, cost-effective analysis of glacial lakes, particularly in high-mountain Asia.

Key Features:





Automated Deep Learning Model: GLDeepNet uses a 2D convolutional architecture with optimized hyperparameters for glacial lake segmentation.




Comprehensive Pre-processing Pipeline: Includes optimal spectral band selection and SAR-specific transformations.




Post-processing Enhancements: Morphological operations are applied to refine the detected lake boundaries.




High Performance: Achieves an accuracy of 0.98, precision of 0.90, recall of 0.94, and R² of 0.91 compared to reference data.




Robust Cross-Regional Testing: Trained on 1,050 images from the eastern Himalayas and tested on 750 images from the more vulnerable north-central Himalayan region.



Applications:The dataset and model support large-scale glacial lake mapping and monitoring, offering critical insights for glacier retreat analysis and risk assessment of glacier lake outburst floods (GLOFs).

Licensing and Citation:Please cite the accompanying publication or this Zenodo record when using the code or data in academic work.

Contact:For questions or collaboration inquiries, contact Subhranil Mustafi at <subhranil_r@isical.ac.in>.