cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13132656
title: Multi-modal image analysis for large scale cancer tissue studies within IMMUcan

description: This dataset contains the data to reproduce the IMMUcan imaging workflow publication.

Background:

IMMUcan (https://immucan.eu/) collects samples from cancer patients for multimodal analysis. multiplexed immunofluorescence (mIF) and Imaging Mass Cytometry (IMC) are performed on all patient samples. Samples collection occurs over 6 years. Two workflows have been developed for mIF and IMC to allow reproducible data collection and processing over the course of the project. 

Data:
DOI: 10.5281/zenodo.15343137
title: This is the seismic data for article "Characterizing Rockfall dynamic parameters from Seismic Signals: Geometric Source Effects Meet Deep Learning-Driven Path Modeling"
DOI: 10.5281/zenodo.15343138
title: This is the seismic data for article "Characterizing Rockfall dynamic parameters from Seismic Signals: Geometric Source Effects Meet Deep Learning-Driven Path Modeling"
DOI: 10.5281/zenodo.14824561
title: Amino Acid Composition drives Peptide Aggregation: Predicting Aggregation for Improved Synthesis

description: Overview

This repository contains the raw experimental data associated with the manuscript entitled:“Amino Acid Composition Drives Peptide Aggregation: Predicting Aggregation for Improved Synthesis.”

The data were generated as part of a study investigating the relationship between amino acid composition and aggregation propensity during solid-phase peptide synthesis (SPPS).Contents

The repository contains the following files and folders:

    Zip files with peptide names: Contain all the raw experimental data, uHPLC and LCMS done to characterize the syntheses. Labbook.xlsx helps navigating these.

    Synthesis_data.zip contains all raw data which serve as the foundation for the machine learning models and analyses presented in the manuscript.

    UZH_data_clean.csv is the processed synthesis data from our lab used to train the ML algorithms   

How to Use the Data

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and adaptation of the data, provided appropriate credit is given.

Researchers may, for example:

    Reproduce or extend the machine learning models described in the associated publication

    Conduct independent analyses of peptide sequence–aggregation relationships

    Benchmark novel models or computational approaches using this dataset as a reference

We encourage the reuse of this dataset for both academic and commercial purposes, in line with the principles of open and reproducible science.

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).Citation

Please cite this dataset as:

Bálint Tamás, Marvin Alberts, Teodoro Laino, and Nina Hartrampf, (2025). Raw Experimental Data for "Amino Acid Composition Drives Peptide Aggregation: Predicting Aggregation for Improved Synthesis." Zenodo. https://doi.org/10.26434/chemrxiv-2025-wjbmv
DOI: 10.5281/zenodo.14824562
title: Amino Acid Composition drives Peptide Aggregation: Predicting Aggregation for Improved Synthesis
DOI: 10.5281/zenodo.15198131
title: Amino Acid Composition drives Peptide Aggregation: Predicting Aggregation for Improved Synthesis

description: Overview

This repository contains the raw experimental data associated with the manuscript entitled:“Amino Acid Composition Drives Peptide Aggregation: Predicting Aggregation for Improved Synthesis.”

The data were generated as part of a study investigating the relationship between amino acid composition and aggregation propensity during solid-phase peptide synthesis (SPPS).Contents

The repository contains the following files and folders:

    Zip files with peptide names: Contain all the raw experimental data, uHPLC and LCMS done to characterize the syntheses. Labbook.xlsx helps navigating these.

    Synthesis_data.zip contains all raw data which serve as the foundation for the machine learning models and analyses presented in the manuscript.

    UZH_data_clean.csv is the processed synthesis data from our lab used to train the ML algorithms   

How to Use the Data

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and adaptation of the data, provided appropriate credit is given.

Researchers may, for example:

    Reproduce or extend the machine learning models described in the associated publication

    Conduct independent analyses of peptide sequence–aggregation relationships

    Benchmark novel models or computational approaches using this dataset as a reference

We encourage the reuse of this dataset for both academic and commercial purposes, in line with the principles of open and reproducible science.

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).Citation

Please cite this dataset as:

Bálint Tamás, Marvin Alberts, Teodoro Laino, and Nina Hartrampf, (2025). Raw Experimental Data for "Amino Acid Composition Drives Peptide Aggregation: Predicting Aggregation for Improved Synthesis." Zenodo. https://doi.org/10.26434/chemrxiv-2025-wjbmv
DOI: 10.15468/6p6nea
title: Data on the locations and behavior of breeding birds obtained by mapping (registrations made during census visits) along a fixed route (permanent transect) in pine forests (Russia, Moscow region, Prioksko-Terrasny Nature Biosphere Reserve named after Mikhail Zablotsky

description: The dataset describes the spatial distribution of registrations and behaviour of 66 bird species censused by the territory mapping method during the breeding period along a fixed route (permanent transect) in pine forests of different ages (from 50 to 120 years) growing in the Oka River valley. The route length was 2800 m, with a maximum elevation difference of about 15 m. Geographic coordinates of the furthest points of the route were 54°51.684'N, 37°34.725' E and, 54°51.718' N, 37°37.472' E. In 2002 and 2003, 11 and 15 complete (each during two mornings) mapping visits were conducted from April 6 to July 8 and from April 5 to July 6, respectively. The mapping visits were made regularly at intervals of 4-6 days.
DOI: 10.15468/dl.g45fxm
title: Occurrence Download

description: A dataset containing 7823 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Emerita analoga (Stimpson, 1857)"
 ]
}

 The dataset includes 7823 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016022-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drw6ve
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Bombus rubicundus Smith, 1854, Bombus hortulanus Friese, 1904, Bombus pauloensis Friese, 1912)",
 "BasisOfRecord is one of (Specimen)",
 "StateProvince is one of (cundinamarca)"
 ]
 }
 ]
}

 The dataset includes 79 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016023-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmjnb3
title: Occurrence Download

description: A dataset containing 95599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salamandra salamandra (Linnaeus, 1758)",
 "Country is one of (Holy See, Jersey, Guernsey, Isle of Man, United Kingdom of Great Britain and Northern Ireland, Ukraine, Switzerland, Sweden, Spain, Slovakia, Slovenia, Serbia, San Marino, Russian Federation, Romania, Portugal, Poland, Netherlands, Montenegro, Moldova, Republic of, Monaco, Malta, North Macedonia, Luxembourg, Lithuania, Liechtenstein, Latvia, Italy, Ireland, Iceland, Hungary, Greece, Germany, Åland Islands, Finland, Estonia, Faroe Islands, Denmark, Czechia, Croatia, Bulgaria, Bosnia and Herzegovina, Belgium, Belarus, Austria, Andorra, Albania)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 95599 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016016-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3upauh
title: Occurrence Download

description: A dataset containing 9228 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fishes of Vermont"
 ]
}

 The dataset includes 9228 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016024-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vb778
title: Occurrence Download

description: A dataset containing 1020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (BOL.6.1.1_2, BOL.6.4.3_2)",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1020 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016025-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p46x96
title: Occurrence Download

description: A dataset containing 904917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Ghana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 904917 records from 447 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015999-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15341460
title: Dataset of modelled peak wave direction in the Adriatic Sea for the future period 2021-2050 (climatological model winds; emission scenario IPCC RCP4.5)

description: This dataset contains results from numerical wave model runs of peak wave direction in the Adriatic Sea, covering the future period 2021-2050 (emission scenario IPCC RCP4.5). Control dataset years 1981-2010 




This study was part of the project “COAST-CLIM”, funded by the Italian PNRR initiative “RETURN” (RETURN Extended Partnership, https://www.fondazionereturn.it/en/). “COAST-CLIM” was coordinated by the Italian National Research Council (CNR). PNRR is funded by the European Union under the Next Generation Europe program (NRRP, M4, C2, I1.3 – D.D. 1243 2/8/2022, PE0000005).  








Authors: Francesco Barbariol, Leandro Antonio Hipolito Fernandez, Alvise Benetazzo, Marco Bajo, Christian Ferrarin (CNR-ISMAR) 










Variables: peak wave direction 










Geographical region: Adriatic Sea 










Period (month/year): 01/2021 - 12/2050 (the first 7 days of the outputs should not be used for analysis as the model was initialized with initial conditions from JONSWAP) 










Numerical model and setup: WAVEWATCH III® (7.14) spectral wave model with structured regular grid, ST3 wind input and dissipation parameterization (complete list of switches used in the global attributes of the netcdf files) 










Atmospheric forcing: 10-m wind components (8-km horizontal spatial resolution, 6-hour temporal resolution) from COSMO-CLM model simulations (CMCC). Scientific activities carried out in the Venezia2021 Research Programme, coordinated by CORILA, with the contribution of the Interregional Public Works Department for Veneto, Trentino Alto Adige and Friuli Venezia Giulia. 










Output spatial resolution: 0.025 degree x 0.025 degree 










Output frequency: 1 hour 










References:  






"The WAVEWATCH III®Development Group (2019). User Manual and System Documentation of WAVEWATCH III; Version 6.07. Tech. Note 333.  




Bucchignani et al. (2016). High-resolution climate simulations with COSMO-CLM over Italy: Performance evaluation and climate projections for the 21st century. Int. J. Climatol., 36, 735–756"
DOI: 10.5281/zenodo.15341461
title: Dataset of modelled peak wave direction in the Adriatic Sea for the future period 2021-2050 (climatological model winds; emission scenario IPCC RCP4.5)

description: This dataset contains results from numerical wave model runs of peak wave direction in the Adriatic Sea, covering the future period 2021-2050 (emission scenario IPCC RCP4.5). Control dataset years 1981-2010 




This study was part of the project “COAST-CLIM”, funded by the Italian PNRR initiative “RETURN” (RETURN Extended Partnership, https://www.fondazionereturn.it/en/). “COAST-CLIM” was coordinated by the Italian National Research Council (CNR). PNRR is funded by the European Union under the Next Generation Europe program (NRRP, M4, C2, I1.3 – D.D. 1243 2/8/2022, PE0000005).  








Authors: Francesco Barbariol, Leandro Antonio Hipolito Fernandez, Alvise Benetazzo, Marco Bajo, Christian Ferrarin (CNR-ISMAR) 










Variables: peak wave direction 










Geographical region: Adriatic Sea 










Period (month/year): 01/2021 - 12/2050 (the first 7 days of the outputs should not be used for analysis as the model was initialized with initial conditions from JONSWAP) 










Numerical model and setup: WAVEWATCH III® (7.14) spectral wave model with structured regular grid, ST3 wind input and dissipation parameterization (complete list of switches used in the global attributes of the netcdf files) 










Atmospheric forcing: 10-m wind components (8-km horizontal spatial resolution, 6-hour temporal resolution) from COSMO-CLM model simulations (CMCC). Scientific activities carried out in the Venezia2021 Research Programme, coordinated by CORILA, with the contribution of the Interregional Public Works Department for Veneto, Trentino Alto Adige and Friuli Venezia Giulia. 










Output spatial resolution: 0.025 degree x 0.025 degree 










Output frequency: 1 hour 










References:  






"The WAVEWATCH III®Development Group (2019). User Manual and System Documentation of WAVEWATCH III; Version 6.07. Tech. Note 333.  




Bucchignani et al. (2016). High-resolution climate simulations with COSMO-CLM over Italy: Performance evaluation and climate projections for the 21st century. Int. J. Climatol., 36, 735–756"
DOI: 10.15468/dl.zat3y9
title: Occurrence Download

description: A dataset containing 16401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "IucnRedListCategory is EW",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 16401 records from 665 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016026-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60681/whg-dataset-1446
title: Inner Asia and the Spatial Politics of Empire: Archaeology, Mobility, and Culture Contact

description: Inner Asia and the Spatial Politics of Empire was written by William Honeychurch and published in 2015. Honeychurch gives a comprehensive analysis of Bronze age Eurasian steppe peoples, in areas covering modern China, Mongolia, Kazakhstan, and Russia. He presents archaeological data and historical evidence to argue in favor of the complex nature of pastoral nomadism. Honeychurch also emphasizes spatial politics for the Xiongnu state to decenter Chinese influences and instead study such influences in addition to indigenous contexts.
DOI: 10.15468/dl.tcqeua
title: Occurrence Download

description: A dataset containing 57554 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ephedra Tourn. ex L."
 ]
}

 The dataset includes 57554 records from 610 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140577-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8dxfp
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meadia abyssalis"
 ]
}

 The dataset includes 103 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030793-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shyyeq
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Charadrius mongolus)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 143 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030795-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9w8bwf
title: Occurrence Download

description: A dataset containing 1526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Terpsiphone cinnamomea)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1526 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030794-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5xw2h
title: Occurrence Download

description: A dataset containing 1216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Charadrius mongolus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 1216 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030796-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcd37p
title: Occurrence Download

description: A dataset containing 10845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Charadrius mongolus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 10845 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030797-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyahsb
title: Occurrence Download

description: A dataset containing 60156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Duttaphrynus melanostictus",
 "Year 1950-2025"
 ]
}

 The dataset includes 60156 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030767-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5xsjj
title: Occurrence Download

description: A dataset containing 1371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Terpsiphone cyanescens)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1371 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030798-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e5q58
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Terpsiphone floris)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030799-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgyyxh
title: Occurrence Download

description: A dataset containing 9639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Terpsiphone mutata)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 9639 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030801-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3j9n6x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAJ1698"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030800-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.