cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14900009
title: Data and Code for "Magic spreading in chaotic quantum circuits"

description: Magic is the resource that quantifies the amount of beyond-Clifford operations necessary for universal quantum computing. It bounds the cost of classically simulating quantum systems via stabilizer circuits central to quantum error correction and computation. In this paper, we investigate how fast generic many-body dynamics generate magic resources under the constraints of locality and unitarity, focusing on magic spreading in brick-wall random unitary circuits. We explore scalable magic measures intimately connected to the algebraic structure of the Clifford group.These metrics enable the investigation of the spreading of magic for system sizes of up to $N=1024$ qudits, surpassing the previous state-of-the-art, which was restricted to about a dozen qudits. We demonstrate that magic resources equilibrate on timescales logarithmic in the system size, akin to anti-concentration and Hilbert space delocalization phenomena, but qualitatively different from the spreading of entanglement entropy. As random circuits are minimal models for chaotic dynamics, we conjecture that our findings describe the phenomenology of magic resources growth in a broad class of chaotic many-body systems.
DOI: 10.5281/zenodo.14973597
title: MOABB Toy dataset Example
DOI: 10.5281/zenodo.14973598
title: MOABB Toy dataset Example
DOI: 10.5281/zenodo.14185082
title: The initial stages of Ag fluorination: a scanning tunneling microscopy investigation

description: Low Temperature scanning tunneling microscopy images of Ag(100) and Ag(110) crystals exposed at room temperature for different amounts of time to a fluorine-rich atmosphere. The temperature used for acquiring the STM images is written within the title of the file. 

The calibration factors for the STM images are 1.12 in X and Y, 0.867 in Z. 

These STM data are the raw images of the results shown in the paper published in ArXiv with the doi number 10.48550/arXiv.2410.04858.
DOI: 10.5281/zenodo.14185083
title: The initial stages of Ag fluorination: a scanning tunneling microscopy investigation

description: Low Temperature scanning tunneling microscopy images of Ag(100) and Ag(110) crystals exposed at room temperature for different amounts of time to a fluorine-rich atmosphere. The temperature used for acquiring the STM images is written within the title of the file. 

The calibration factors for the STM images are 1.12 in X and Y, 0.867 in Z. 

These STM data are the raw images of the results shown in the paper published in ArXiv with the doi number 10.48550/arXiv.2410.04858.
DOI: 10.5281/zenodo.14185134
title: The initial stages of Ag fluorination: a scanning tunneling microscopy investigation

description: Low Temperature scanning tunneling microscopy images of Ag(100) and Ag(110) crystals exposed at room temperature for different amounts of time to a fluorine-rich atmosphere. The temperature used for acquiring the STM images is written within the title of the file. 

The calibration factors for the STM images are 1.12 in X and Y, 0.867 in Z. 

These STM data are the raw images of the results shown in the paper published in ArXiv with the doi number 10.48550/arXiv.2410.04858.
DOI: 10.5281/zenodo.14973610
title: EEG-AAD 2025 DATASET
DOI: 10.5281/zenodo.14973611
title: EEG-AAD 2025 DATASET
DOI: 10.58060/dh7x-j030
title: EVA project # 216 2024-08-02 Understanding the causes of renal cancers - A. Ferreiro, M.-L. Aix - EXTENSION OF # 211
title: SELECTION 2024-09-05

description: Final approved selection from European Vegetation Archive (EVA, incl. ReSurveyEurope) database for this EVA project specified with selection date. The EVA data are available on request using procedure described at How to obtain data (https://euroveg.org/eva-database/obtaining-data).
DOI: 10.15468/dl.kzuh3c
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-9.9497 34.76722,-3.62795 34.76722,-3.62795 39.41917,-9.9497 39.41917,-9.9497 34.76722))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dianthus broteri Boiss. & Reut."
 ]
}

 The dataset includes 186 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006025-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abyg6v
title: Occurrence Download

description: A dataset listing the 26 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Butterfly distribution records for the UK from Butterfly Conservation, up to 2019",
 "Geometry POLYGON((1.1 51.2,1.2 51.2,1.2 51.3,1.1 51.3,1.1 51.2))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 26 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006022-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26188/25302064
title: Classification of primary specimen labels on herbarium specimen sheets dataset

description: This dataset contains 3,152 cropped images of primary specimen labels (also known as 'institutional labels') on herbarium specimen sheets from the University of Melbourne's herbarium.Each image has a corresponding row in the `institutional-label-classifier-dataset.csv` file. The CSV file has three columns. The first is `path` which is the path to the image.The second is `tag` which also has one of the following classificationstypewriterprintedhandwrittencombinationemptyThe final column is `validation` which is 1 if the image is in the validation partition and 0 if it is in the training partition.There are 2,521 training images and 631 validation images.For more information, see https://github.com/rbturnbull/hespi
DOI: 10.5281/zenodo.14159926
title: codes and data for the paper 'Computational Discovery and Systematic Analysis of Protein Entangling Motifs in Nature: From Algorithm to Database'
DOI: 10.5281/zenodo.14159927
title: codes and data for the paper 'Computational Discovery and Systematic Analysis of Protein Entangling Motifs in Nature: From Algorithm to Database'
DOI: 10.5281/zenodo.14159943
title: codes and data for the paper 'Computational Discovery and Systematic Analysis of Protein Entangling Motifs in Nature: From Algorithm to Database'
DOI: 10.5281/zenodo.14973642
title: codes and data for the paper 'Computational Discovery and Systematic Analysis of Protein Entangling Motifs in Nature: From Algorithm to Database'
DOI: 10.26188/23597013.v2
title: <strong>Data available for "Identification of herbarium specimen sheet components from high-resolution images using deep learning": Annotations for selected MELU specimen sheet digital images</strong>

description: Data Available for the paper: "<strong>Identification of herbarium specimen sheet components from high-resolution images using deep learning</strong>", by Karen M Thompson, Robert Turnbull, Emily Fitzgerald, Joanne L Birch <br> These are specific annotations of selected specimen sheet digital images from the MELU collection (Melbourne University Herbarium). MELU collection images are available: https://online.herbarium.unimelb.edu.au/ <br> These annotations for use in a YOLO object detection model. <br> The format of this file is a .ZIP containing a .TXT for each image annotated. Each .TXT file will have a row for each annotated element. Eg. "4 0.064133 0.414363 0.072186 0.309392" (i) first element is an integer identifying the object type: 0 small database label 1 handwritten data<br> 2 stamp<br> 3 annotation label<br> 4 scale<br> 5 swing tag<br> 6 full database label<br> 7 database label<br> 8 swatch<br> 9 institutional label<br> 10 number (ii) then the following four elements are the corner coordinates for the bounding box <br> Other information available to support this paper: (1) annotations for benchmark dataset (noting these are specific to the MELU trained model) (2) MELU-trained sheet-component object detection model weights (for application in YOLOv5)
DOI: 10.26188/25302064.v1
title: Classification of institutional labels on herbarium specimen sheets dataset

description: This dataset contains 3,152 cropped images of institutional labels on herbarium specimen sheets from the University of Melbourne's herbarium.Each image has a corresponding row in the `institutional-label-classifier-dataset.csv` file. The CSV file has three columns. The first is `path` which is the path to the image.The second is `tag` which also has one of the following classificationstypewriterprintedhandwrittencombinationemptyThe final column is `validation` which is 1 if the image is in the validation partition and 0 if it is in the training partition. There are 2,521 training images and 631 validation images.For more information, see https://github.com/rbturnbull/hespi
DOI: 10.26188/25302064.v2
title: Classification of primary specimen labels on herbarium specimen sheets dataset

description: This dataset contains 3,152 cropped images of primary specimen labels (also known as 'institutional labels') on herbarium specimen sheets from the University of Melbourne's herbarium.Each image has a corresponding row in the `institutional-label-classifier-dataset.csv` file. The CSV file has three columns. The first is `path` which is the path to the image.The second is `tag` which also has one of the following classificationstypewriterprintedhandwrittencombinationemptyThe final column is `validation` which is 1 if the image is in the validation partition and 0 if it is in the training partition.There are 2,521 training images and 631 validation images.For more information, see https://github.com/rbturnbull/hespi
DOI: 10.15468/dl.zyz6sd
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Anthidium rubripes Friese, 1908"
 ]
}

 The dataset includes 140 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006026-250227182400228/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.28519340
title: The Indonesian Neuropsychology Test Battery: Sundanese and Javanese Executive Function

description: The Indonesian Neuropsychology Test Battery: Sundanese and Javanese Executive Function.
DOI: 10.5281/zenodo.11215566
title: Investigation of the Sensitivity of Tropical Cyclogenesis to Aerosol Intervention

description:  















This dataset includes the following components:



WRFV4_SBM_DIAG.gzThe WRF-SBM model used to simulate aerosol-cloud interaction processes.



Aerosol Simulation Results:



MarBG1_dataset.nc: Results from the MarBG1 simulation.

MarBG2_dataset.nc: Results from the MarBG2 simulation.

Coarse_dataset.nc: Results from the Coarse simulation.

Fine_AerosolsRegenerated_dataset.nc: Results from the Fine simulation, including aerosol regeneration.

Fine_0AerosolsRegenerated_dataset.nc: Results from the Fine simulation, excluding aerosol regeneration.

UFine_dataset.nc: Results from the UFine simulation.





Variable Descriptions:



Detailed descriptions of the variables in each aerosol dataset are provided in the "README.txt" file.
DOI: 10.5281/zenodo.11215567
title: Investigation of the Sensitivity of Tropical Cyclogenesis to Aerosol Intervention

description:  















This dataset includes the following components:



WRFV4_SBM_DIAG.gzThe WRF-SBM model used to simulate aerosol-cloud interaction processes.



Aerosol Simulation Results:



MarBG1_dataset.nc: Results from the MarBG1 simulation.

MarBG2_dataset.nc: Results from the MarBG2 simulation.

Coarse_dataset.nc: Results from the Coarse simulation.

Fine_AerosolsRegenerated_dataset.nc: Results from the Fine simulation, including aerosol regeneration.

Fine_0AerosolsRegenerated_dataset.nc: Results from the Fine simulation, excluding aerosol regeneration.

UFine_dataset.nc: Results from the UFine simulation.





Variable Descriptions:



Detailed descriptions of the variables in each aerosol dataset are provided in the "README.txt" file.
DOI: 10.15468/dl.4xeazk
title: Occurrence Download

description: A dataset containing 1078 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clitostethus arcuatus (Rossi, 1794)"
 ]
}

 The dataset includes 1078 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006024-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14845654
title: Lipids modulate the dynamics of gpcr: β-arrestin interaction
DOI: 10.5281/zenodo.14973691
title: THE INFLUENCE OF DIETARY FIBER AND HYDRATION ON CONSTIPATION IN WOMEN OF DIFFERENT AGE GROUPS

description: Constipation is a common gastrointestinal issue that disproportionately affects women across all age groups. Dietary fiber and hydration are two critical factors in the management and prevention of constipation. This review explores the impact of fiber and hydration on constipation in women, emphasizing variations across life stages. The role of fiber types (soluble and insoluble), hydration levels, and age-related physiological changes are discussed in detail. Current literature is synthesized to identify trends, gaps, and practical recommendations for clinical interventions. Knowledge gaps and suggestions for future research are also highlighted.
DOI: 10.5281/zenodo.14973692
title: THE INFLUENCE OF DIETARY FIBER AND HYDRATION ON CONSTIPATION IN WOMEN OF DIFFERENT AGE GROUPS

description: Constipation is a common gastrointestinal issue that disproportionately affects women across all age groups. Dietary fiber and hydration are two critical factors in the management and prevention of constipation. This review explores the impact of fiber and hydration on constipation in women, emphasizing variations across life stages. The role of fiber types (soluble and insoluble), hydration levels, and age-related physiological changes are discussed in detail. Current literature is synthesized to identify trends, gaps, and practical recommendations for clinical interventions. Knowledge gaps and suggestions for future research are also highlighted.
DOI: 10.5281/zenodo.14845653
title: Lipids modulate the dynamics of gpcr: β-arrestin interaction
DOI: 10.15468/dl.4re5zu
title: Occurrence Download

description: A dataset containing 55840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Beta vulgaris L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 55840 records from 515 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006017-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14973513
title: Geomagnetic Data from Dusheti Geophysical Observatory, 2023-07-25 to 2024-10-12

description: This dataset contains geomagnetic data recorded at the Dusheti Geophysical Observatory, from July 25, 2023, to October 12, 2024. It includes measurements of the horizontal component (H) of the geomagnetic field, the vertical component (Z) of the geomagnetic field, and the declination (D). The data has been formatted into a .txt file and is accompanied by an English description.
DOI: 10.5281/zenodo.14973514
title: Geomagnetic Data from Dusheti Geophysical Observatory, 2023-07-25 to 2024-10-12

description: This dataset contains geomagnetic data recorded at the Dusheti Geophysical Observatory, from July 25, 2023, to October 12, 2024. It includes measurements of the horizontal component (H) of the geomagnetic field, the vertical component (Z) of the geomagnetic field, and the declination (D). The data has been formatted into a .txt file and is accompanied by an English description.
DOI: 10.5281/zenodo.12795495
title: CAESAR-Lisflood 1.9j LD

description: Updated version of CAESAR-Lisflood 1.9j to incorporate leaky wooden dams.

Source code, batch mode and standalone versions of the software are available, as well as accompanying datasets and figures to support EGUSPHERE-2024-2132.

Peer reviewed paper available here:

Wolstenholme, JM., Skinner, CJ., Milan, DJ., Thomas, RE. & Parsons., DR. 2025. Hydro-geomorphological modelling of leaky wooden dam efficacy from reach to catchment scale with CAESAR-Lisflood 1.9j, Geoscientific Model Development. 18, 1395-1411. https://doi.org/10.5194/gmd-18-1395-2025
DOI: 10.5281/zenodo.14944055
title: Dataset related to the article " Immature surfactant proteins B increases in the plasma of pa-tients with calcific severe aortic stenosis"

description: This record contains row data related to the article "Immature surfactant proteins B increases in the plasma of patients with calcific severe aortic stenosis"

Abstract: Valvular disease is a complex pathological condition that impacts countless individuals around the globe. Due to limited treatments, it is crucial to understand its mechanisms to identify new targets.

Valve disease may result in pulmonary venous hypertension, which is linked to compromised functioning of the alveolar and capillary membranes, and hindered gas exchange. Nonetheless, the correlation between surfactant proteins (SP) and valve disease remains unexplored. 

A total of 44 patients were enrolled, out of which 36 underwent aortic valve replacement, and 8 underwent a second aortic valve substitution due to bioprosthetic valve degeneration. Ten healthy subjects were also included in the study. The results showed that patients who underwent both the first valve replacement and the second surgery had significantly higher levels of immature SP-B (proSP-B) compared to control subjects. The levels of the extra-lung collectin SP-D were higher in patients who needed a second surgery due to bioprosthetic valve degeneration, while SP-A levels remained unchanged. The research also showed that there was no reciprocal relationship between inflammation and SP-D as the levels of inflammatory mediators did not differ between groups.

The present demonstrates that circulating proSP-B serves as a reliable marker of alveolar capillary membrane damage in patients with valvular heart disease.
DOI: 10.5281/zenodo.14944056
title: Dataset related to the article " Immature surfactant proteins B increases in the plasma of pa-tients with calcific severe aortic stenosis"

description: This record contains row data related to the article "Immature surfactant proteins B increases in the plasma of patients with calcific severe aortic stenosis"

Abstract: Valvular disease is a complex pathological condition that impacts countless individuals around the globe. Due to limited treatments, it is crucial to understand its mechanisms to identify new targets.

Valve disease may result in pulmonary venous hypertension, which is linked to compromised functioning of the alveolar and capillary membranes, and hindered gas exchange. Nonetheless, the correlation between surfactant proteins (SP) and valve disease remains unexplored. 

A total of 44 patients were enrolled, out of which 36 underwent aortic valve replacement, and 8 underwent a second aortic valve substitution due to bioprosthetic valve degeneration. Ten healthy subjects were also included in the study. The results showed that patients who underwent both the first valve replacement and the second surgery had significantly higher levels of immature SP-B (proSP-B) compared to control subjects. The levels of the extra-lung collectin SP-D were higher in patients who needed a second surgery due to bioprosthetic valve degeneration, while SP-A levels remained unchanged. The research also showed that there was no reciprocal relationship between inflammation and SP-D as the levels of inflammatory mediators did not differ between groups.

The present demonstrates that circulating proSP-B serves as a reliable marker of alveolar capillary membrane damage in patients with valvular heart disease.
DOI: 10.5281/zenodo.12795494
title: CAESAR-Lisflood 1.9j LD

description: Updated version of CAESAR-Lisflood 1.9j to incorporate leaky wooden dams.

Source code, batch mode and standalone versions of the software are available, as well as accompanying datasets and figures to support EGUSPHERE-2024-2132.

Peer reviewed paper available here:

Wolstenholme, JM., Skinner, CJ., Milan, DJ., Thomas, RE. & Parsons., DR. 2025. Hydro-geomorphological modelling of leaky wooden dam efficacy from reach to catchment scale with CAESAR-Lisflood 1.9j, Geoscientific Model Development. 18, 1395-1411. https://doi.org/10.5194/gmd-18-1395-2025
DOI: 10.5281/zenodo.14943574
title: Flow Cytometry Analysis of Tissue Factor Expression in Human Platelets

description: This record contains raw data related to the article "Flow Cytometry Analysis of Tissue Factor Expression in Human Platelets".

 

ABSTRACT

A subset of circulating human platelets stores Tissue Factor (TF) intracellularly, the key activator of the blood coagulation cascade and thrombus formation. Upon platelet activation, TF is exposed on the cell membrane, where it binds to FVII, ultimately leading to thrombin generation. Considering that (1) levels of TF-positive platelets increase in various clinical settings, contributing to the patient's prothrombotic phenotype, and (2) different drugs can modulate platelet-associated TF expression, a standardized method for assessing TF-positive platelets is valuable, as its evaluation has been controversial in the past. Here, we outline a protocol for measuring the percentage of TF-positive platelets using flow cytometry in whole blood and platelet-rich plasma (PRP)/washed platelets. This protocol aims to provide detailed instructions for quantifying the percentage of TF-positive platelets by assessing the protein (1) intracellularly in resting conditions, and (2) on the cell surface, in both resting and activated conditions. The first section provides essential information for correctly performing blood withdrawal to ensure that pre-analytical procedures do not affect the results. Next, the protocol focuses on sample preparation and labeling procedures for flow cytometry analysis. Detailed steps for cell stimulation, labeling, fixation, and permeabilization—where necessary—are outlined. Finally, instructions for flow cytometry settings to correctly identify the platelet population and analyze TF-positive events are described. Lastly, the method includes the procedure for preparing PRP if TF-positive platelets are to be measured in isolated platelets. Since only a subset of platelets contains TF, it is important to ensure that these platelets are not lost during the centrifugation steps required to obtain PRP.