cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13837731
title: Data accompanying "HSP70 inhibits CHIP E3 ligase activity to maintain germline function in Caenorhabditis elegans" article.

description: This work was funded by the National Science Centre, Poland (grant PRELUDIUM number 2021/41/N/NZ1/03086) (to P.T.) and by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) under Germany’s Excellence Strategy – EXC 2030 – 390661388 and – FOR 5504 – project number 496650118 (to T.H.). M.T.P. received support by the Cologne Graduate School of Aging Research. N.A.S., A.S., K.J., and M.N. were supported by the International Institute of Molecular and Cell Biology in Warsaw.
DOI: 10.5281/zenodo.13837732
title: Data accompanying "HSP70 inhibits CHIP E3 ligase activity to maintain germline function in Caenorhabditis elegans" article.

description: This work was funded by the National Science Centre, Poland (grant PRELUDIUM number 2021/41/N/NZ1/03086) (to P.T.) and by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) under Germany’s Excellence Strategy – EXC 2030 – 390661388 and – FOR 5504 – project number 496650118 (to T.H.). M.T.P. received support by the Cologne Graduate School of Aging Research. N.A.S., A.S., K.J., and M.N. were supported by the International Institute of Molecular and Cell Biology in Warsaw.
DOI: 10.5281/zenodo.7923969
title: COSMOS: a dataset for Classification Of Stress and workload using multiMOdal wearable Sensors

description: Prolonged stress and high mental workload can have deteriorating long-term effects developing several stress-related diseases. The existing stress detection techniques are often uni-modal and limited to controlled setups. One sensing modality could be unobtrusive but mostly results in unreliable sensor readings, especially in uncontrolled environments. Our study recorded multi-modal physiological signals from twenty-five participants in controlled and uncontrolled environments by performing given and self-chosen tasks of high and low mental demand. In this version, we processed and published a subset of the dataset from six participants while working on the rest. The subset of the data is used to check the feasibility of our study by engineering features from electroencephalography (EEG), photoplethysmography (PPG), electrodermal activity (EDA), and temperature sensor data. Machine learning methods were used for the binary classification of the tasks. Personalized models in the uncontrolled environment achieved a mean classification accuracy of up to 83% while using one of the four labels, unveiling some unintentional mislabeling by participants. In controlled environments, multi-modality improved the accuracy by at least 7%. Generalized machine learning models achieved close to chance-level performances. This work underlines the importance of multi-modal recordings and provides the research community with an experimental paradigm to take studies of mental workload and stress workload and stress out of controlled into uncontrolled environments
 
description: In the current version, we are providing the engineered features extracted from the raw data. In version 2, we will provide the raw data of approximately 20 participants.

Update on September 2024: We no longer give access to this dataset since we have published a more extensive data set lately in version 2, which will be more beneficial for the research community. Please check our publication at https://www.nature.com/articles/s41597-024-03738-7.  You will find relevant information on the new data source here.
DOI: 10.5281/zenodo.7923968
title: COSMOS: a dataset for Classification Of Stress and workload using multiMOdal wearable Sensors

description: Prolonged stress and high mental workload can have deteriorating long-term effects developing several stress-related diseases. The existing stress detection techniques are often uni-modal and limited to controlled setups. One sensing modality could be unobtrusive but mostly results in unreliable sensor readings, especially in uncontrolled environments. Our study recorded multi-modal physiological signals from twenty-five participants in controlled and uncontrolled environments by performing given and self-chosen tasks of high and low mental demand. In this version, we processed and published a subset of the dataset from six participants while working on the rest. The subset of the data is used to check the feasibility of our study by engineering features from electroencephalography (EEG), photoplethysmography (PPG), electrodermal activity (EDA), and temperature sensor data. Machine learning methods were used for the binary classification of the tasks. Personalized models in the uncontrolled environment achieved a mean classification accuracy of up to 83% while using one of the four labels, unveiling some unintentional mislabeling by participants. In controlled environments, multi-modality improved the accuracy by at least 7%. Generalized machine learning models achieved close to chance-level performances. This work underlines the importance of multi-modal recordings and provides the research community with an experimental paradigm to take studies of mental workload and stress workload and stress out of controlled into uncontrolled environments
 
description: In the current version, we are providing the engineered features extracted from the raw data. In version 2, we will provide the raw data of approximately 20 participants.

Update on September 2024: We no longer give access to this dataset since we have published a more extensive data set lately in version 2, which will be more beneficial for the research community. Please check our publication at https://www.nature.com/articles/s41597-024-03738-7.  You will find relevant information on the new data source here.
DOI: 10.5281/zenodo.12189040
title: Sentinel-1 data stack for Masjed Soleyman Dam

description: This is a Sentinel-1 sample dataset for the SARvey InSAR time series analysis software.

This dataset consists of:



    A stack of coregistered SLCs for the Masjed Soleyman Dam and its corresponding geometry data in MiaplPy format. These files serve as the input data for SARvey.    SARvey_input_data_Masjed_Soleyman_dam_S1_dsc_2015_2018.zip

    The final products generated by SARvey for reference.    SARvey_final_results_Masjed_Soleyman_dam_S1_dsc_2015_2018.zip


A cookbook is available to help you run the software using this dataset.

 
description: Details of the dataset:




Sensor
Sentinel-1


Number of SLC images
100


Start date
2015-01-05


End date
2018-09-04


Orbit direction
Descending


InSAR processor
GAMMA




 

 
description: The dataset contains modified Copernicus Sentinel data 2015-2018, processed by ESA.
DOI: 10.5281/zenodo.12189041
title: Sentinel-1 data stack for Masjed Soleyman Dam

description: This is a Sentinel-1 sample dataset for the SARvey InSAR time series analysis software.

This dataset consists of:



    A stack of coregistered SLCs for the Masjed Soleyman Dam and its corresponding geometry data in MiaplPy format. These files serve as the input data for SARvey.    SARvey_input_data_Masjed_Soleyman_dam_S1_dsc_2015_2018.zip

    The final products generated by SARvey for reference.    SARvey_final_results_Masjed_Soleyman_dam_S1_dsc_2015_2018.zip


A cookbook is available to help you run the software using this dataset.

 
description: Details of the dataset:




Sensor
Sentinel-1


Number of SLC images
100


Start date
2015-01-05


End date
2018-09-04


Orbit direction
Descending


InSAR processor
GAMMA




 

 
description: The dataset contains modified Copernicus Sentinel data 2015-2018, processed by ESA.
DOI: 10.15468/dl.2u5d68
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is MEX.23.3_2",
 "TaxonKey is Nyctidromus albicollis (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179312-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjpj7x
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is La Planète Revisitée - Nouvelle-Calédonie 2016/2017-La Côte oubliée - La Planète Revisitée - Nouvelle-Calédonie 2016"
 ]
}

 The dataset includes 145 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030063-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yuaedw
title: Occurrence Download

description: A dataset containing 4654 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triticum durum Wheat"
 ]
}

 The dataset includes 4654 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030064-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e826zk
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT PRINTF('%04d-%02d', "year", "month") AS yearMonth, GBIF_EQDGCCode(3, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 10000)) AS eqdgcCellCode, basisOfRecord, datasetKey, countryCode, speciesKey, species, family, class, order_, COUNT(*) AS occurrences FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND "year" &lt;= 2024 AND county = 'PERU' AND speciesKey IN (5203461, 5203465, 5203444, 5203423, 5203471, 5203437, 5203478, 5203479, 5203453, 5203450, 5203418, 5203477, 5203443) AND hasCoordinate = TRUE 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 "month" IS NOT NULL GROUP BY yearMonth, eqdgcCellCode, basisOfRecord, datasetKey, countryCode, speciesKey, species, family, class, order_ ORDER BY yearMonth DESC, eqdgcCellCode ASC, countryCode ASC

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030058-240906103802322/datasets/export for details.
DOI: 10.5519/qd.gf4ttixw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.15468/dl.8yqqdh
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation)",
 "Continent is Africa",
 "TaxonKey is Aonyx congicus (Lönnberg, 1910)",
 "Year 1000-2024"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030066-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkk6bp
title: Occurrence Download

description: A dataset containing 33073 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than -148.417464",
 "DecimalLongitude is less than -119.115484",
 "DecimalLatitude is greater than 46.379885",
 "DecimalLatitude is less than 67.3876830461706",
 "Country is United States of America"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 33073 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030065-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfbxsn
title: Occurrence Download

description: A dataset containing 1103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((16 -35,33 -35,33 -22,16 -22,16 -35))",
 "TaxonKey is Bitis arietans Merrem, 1820"
 ]
}

 The dataset includes 1103 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030067-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13838058
title: Dataset for Elastic Resource Scaling

description: This project contains the data used in the conference paper entitled V2N Service Scaling with Deep Reinforcement Learning, which was presented at NOMS.
DOI: 10.5281/zenodo.13838059
title: Dataset for Elastic Resource Scaling

description: This project contains the data used in the conference paper entitled V2N Service Scaling with Deep Reinforcement Learning, which was presented at NOMS.
DOI: 10.25398/rd.northumbria.26400820
title: Appendices Table 2.<i> P. equi1</i>03S signal peptide analyses

description: Validation of Lpp signal peptides using a range of bioinformatics tools to predict signal peptide features and consensus approach to data interpretation. The final verdict based on the consensus is indicated in the final column. Some sequences were retained as ‘unclears’.The appendices are associated with the PhD thesis entitled "<b>Molecular characterisation of novel pathways for cell envelope protein localisation in</b><b> </b><b><i>Prescottella</i></b><b>(</b><b><i>Rhododoccus) equi</i></b>".
DOI: 10.25398/rd.northumbria.26400820.v1
title: Appendices Table 2.<i> P. equi1</i>03S signal peptide analyses

description: Validation of Lpp signal peptides using a range of bioinformatics tools to predict signal peptide features and consensus approach to data interpretation. The final verdict based on the consensus is indicated in the final column. Some sequences were retained as ‘unclears’.The appendices are associated with the PhD thesis entitled "<b>Molecular characterisation of novel pathways for cell envelope protein localisation in</b><b> </b><b><i>Prescottella</i></b><b>(</b><b><i>Rhododoccus) equi</i></b>".
DOI: 10.4121/421a26ac-4e92-411f-bb0a-5e6af21cf426.v2
title: Data underlying the publication "Coherent Coupling of a Diamond Tin-Vacancy Center to a Tunable Open Microcavity"

description: Data underlying the research article "Coherent Coupling of a Diamond Tin-Vacancy Center to a Tunable Open Microcavity". In this physics experiment, we demonstrate and quantify the coherent interaction of a single Tin-Vacancy center in diamond with a fiber-based microcavity and show quantum nonlinear effects together with a simulated model. The measurements are performed in a quantum optics setup.The dataset contains the measured and simulated data and the python code to analyse and reproduce the figures shown in the main text and appendix. The measurements are conducted with the Python 3 framework Quantum Measurement Interface (QMI) and data is collected with Python-based data acquisition framework Quantify (see appendix for more details and references). The measured and simulated data is stored in individual hdf5 files, with a unique timestamp and identifier. Analysed data is stored in hdf5 files named processed dataset.Please see the README.md file for instructions on how to analyse the data and reproduce the figures.<br>
DOI: 10.21227/4nse-mj53
title: Art category prediction

description: The raw data from Artsy (from https://www.artsy.net/ ) were collected using the original Python scraping program. Artsy labeled the categories as follows: "Painting", "Work on Paper", "Sculpture", "Print", "Photography", and "Textile Arts". These categories were predicted by other explanatory variables. The rationale behind the selection of this task is the price levels differ greatly across the various categories. In general, categories that can be reproduced with relative ease, such as Print and Photography, tend to be less expensive, while those that are more challenging to reproduce, such as Painting, and Work on Paper, tend to be more expensive.auction_results_top_500_medium.csv:lists the top 500 items sorted by medium frequency, with 20 random samples taken from each medium.fold.csv:the group numbers used for cross-validation splitting randomly.
DOI: 10.15468/dl.yc2y6e
title: Occurrence Download

description: A dataset containing 878 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpheus lobidens de Haan, 1849"
 ]
}

 The dataset includes 878 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030068-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25398/rd.northumbria.26401165
title: Appendices Table 4. <i>P. equi</i>103S Lpp predicted functions

description: Putative Lpp functions predicted from guilt-by-association and Blastp analyses.The appendices are associated with the PhD thesis entitled "<b>Molecular characterisation of novel pathways for cell envelope protein localisation in</b><b> </b><b><i>Prescottella</i></b><b>(</b><b><i>Rhododoccus) equi</i></b>".
DOI: 10.25398/rd.northumbria.26401165.v1
title: Appendices Table 4. <i>P. equi</i>103S Lpp predicted functions

description: Putative Lpp functions predicted from guilt-by-association and Blastp analyses.The appendices are associated with the PhD thesis entitled "<b>Molecular characterisation of novel pathways for cell envelope protein localisation in</b><b> </b><b><i>Prescottella</i></b><b>(</b><b><i>Rhododoccus) equi</i></b>".
DOI: 10.5281/zenodo.13604215
title: Fabrication of Spherical Colloidal Supraparticles via Membrane Emulsification

description: This is the raw data for the manuscript "Fabrication of Spherical Colloidal Supraparticles via Membrane Emulsification".

Abstract

Colloidal supraparticles are micron-assemblies of primary particles. These supraparticles have potential application in photonic materials, catalysis, gas adsorption and drug delivery. Thus, synthesis of colloidal supraparticles with a narrow size distribution and high yield has become essential for their application in different fields of science and technology. Here, we demonstrate membrane emulsification as a high-throughput approach for fabricating spherical supraparticles with narrow size distribution and control over particle size and crystallinity. Spherical supraparticles with well-ordered surface structures are synthesized by generating emulsion droplets of an aqueous colloidal dispersion in fluorocarbon oil using a Shirasu Porous Glass membrane, followed by the consolidation of particles through water removal within the emulsion. We systematically investigate process parameters, including the flow rate of particle dispersion, particle concentration, and average pore diameter of the membrane on the mean size and size distribution of the supraparticles, revealing key factors governing supraparticle properties and production throughput. Comparative evaluation with commonly employed methods highlights the advantage of membrane emulsification, which combines well-defined internal structure and controlled supraparticle sizes with comparably high yields in the order of tens of grams per day.  Importantly, in contrast to widely-used droplet-based microfluidics, membrane emulsification allows fabrication of supraparticles in non-fluorinated oil. Overall, membrane emulsification offers a simple yet versatile method for fabricating colloidal supraparticles with high quality and yield and may serve as a bridge between existing high-precision techniques such as droplet-based microfluidics and high-throughput processes with less control such as spray drying

All data are sorted according to thier appearance in the figures of the main manuscript and the supporting infomation. All the plots data are stored as .xlsx format and content of the column can be found in the headlines, while data shown in the figures is marked in yellow. All the optical microscopy images are stored in .tif format and the file name includes scale bar value. 

DOI journal article:
DOI: 10.5281/zenodo.13604216
title: Fabrication of Spherical Colloidal Supraparticles via Membrane Emulsification

description: This is the raw data for the manuscript "Fabrication of Spherical Colloidal Supraparticles via Membrane Emulsification".

Abstract

Colloidal supraparticles are micron-assemblies of primary particles. These supraparticles have potential application in photonic materials, catalysis, gas adsorption and drug delivery. Thus, synthesis of colloidal supraparticles with a narrow size distribution and high yield has become essential for their application in different fields of science and technology. Here, we demonstrate membrane emulsification as a high-throughput approach for fabricating spherical supraparticles with narrow size distribution and control over particle size and crystallinity. Spherical supraparticles with well-ordered surface structures are synthesized by generating emulsion droplets of an aqueous colloidal dispersion in fluorocarbon oil using a Shirasu Porous Glass membrane, followed by the consolidation of particles through water removal within the emulsion. We systematically investigate process parameters, including the flow rate of particle dispersion, particle concentration, and average pore diameter of the membrane on the mean size and size distribution of the supraparticles, revealing key factors governing supraparticle properties and production throughput. Comparative evaluation with commonly employed methods highlights the advantage of membrane emulsification, which combines well-defined internal structure and controlled supraparticle sizes with comparably high yields in the order of tens of grams per day.  Importantly, in contrast to widely-used droplet-based microfluidics, membrane emulsification allows fabrication of supraparticles in non-fluorinated oil. Overall, membrane emulsification offers a simple yet versatile method for fabricating colloidal supraparticles with high quality and yield and may serve as a bridge between existing high-precision techniques such as droplet-based microfluidics and high-throughput processes with less control such as spray drying

All data are sorted according to thier appearance in the figures of the main manuscript and the supporting infomation. All the plots data are stored as .xlsx format and content of the column can be found in the headlines, while data shown in the figures is marked in yellow. All the optical microscopy images are stored in .tif format and the file name includes scale bar value. 

DOI journal article:
DOI: 10.15468/dl.m79hf3
title: Occurrence Download

description: A dataset containing 4919 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than 87.973094",
 "DecimalLongitude is less than 97.3843518562",
 "DecimalLatitude is greater than 6.7542558",
 "DecimalLatitude is less than 27.9622558347402",
 "Country is India"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 4919 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030069-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.