cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17702799
title: Looking into informal currency markets as Limit Order Books

description: This dataset contains structured, time-stamped records of buy and sell quotations from Cuba’s informal foreign exchange market, reconstructed as a limit order book (LOB). The data were collected through systematic web scraping of publicly available online sources between Jul 2021 and Dic 2024, and subsequently processed to extract bid-ask prices, order volumes, and timestamps. Missing observations were identified and documented using a rigorous imputation protocol.

The dataset supports empirical analysis of market microstructure in an informal economy. It includes daily snapshots of the order book for major currency pairs (primarily USD/CUP), enabling studies on price formation, liquidity dynamics, and transaction costs in contexts where formal foreign exchange markets are constrained.

This dataset complements the code repository “Looking into Informal Currency Markets as Limit Order Books” (available on GitHub), which provides the full pipeline for data collection, LOB reconstruction, and analytics.
DOI: 10.5281/zenodo.17713009
title: Systematised results of the analysis of the campaign "Discrediting Ukraine on the international arena" for the first half of 2025

description: Систематизовані результати аналізу для кампанії «Дискредитація України на міжнародній арені» подано у вигляді окремого набору аркушів електронної таблиці, де один аркуш містить структурований опис інцидентів відповідно до таксономії DISARM, а інший — засоби протидії, співвіднесені з виявленими тактиками.
DOI: 10.5281/zenodo.17713008
title: Systematised results of the analysis of the campaign "Discrediting Ukraine on the international arena" for the first half of 2025

description: Систематизовані результати аналізу для кампанії «Дискредитація України на міжнародній арені» подано у вигляді окремого набору аркушів електронної таблиці, де один аркуш містить структурований опис інцидентів відповідно до таксономії DISARM, а інший — засоби протидії, співвіднесені з виявленими тактиками.
DOI: 10.15468/dl.drwj87
title: Occurrence Download

description: A dataset containing 873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Material citation, Occurrence evidence)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sylvilagus cunicularius"
 ]
}

 The dataset includes 873 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007939-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17703102
title: CellPaintSSL_IN_MOA: Preprocessed Cell Painting MOA plate (images and dataset.csv) for CellPaintSSL zero-shot inference

description: Summary

CellPaintSSL_IN_MOA is a preprocessed Cell Painting dataset built from a single MOA plate and prepared specifically for running the CellPaintSSL model in a strictly zero‐shot regime (no fine‐tuning). The dataset contains five‐channel Cell Painting images transformed into the input format required by the official CellPaintSSL implementation, together with a manifest file (`dataset.csv`) that links each image to well, site, and perturbation metadata.

This dataset is derived from the same experimental plate used in our MOAProfiler_Feature_Extractor workflow, but it uses a different preprocessing and manifest format tailored to CellPaintSSL rather than MOAProfiler.

Contents



`images/` – preprocessed five‐channel Cell Painting images in the format expected by CellPaintSSL.

`dataset.csv` – manifest linking each image to `plate`, `well`, `site`, `perturbation_id`, etc.


All metadata and file naming conventions are compatible with the official CellPaintSSL codebase from Bayer (https://github.com/Bayer-Group/CellPaintSSL).

How the data were generated

Raw Cell Painting images from the MOA plate were stored as separate 16-bit TIFF files per channel with filenames of the form BaseName-chX*.tiff. For each field of view (identified by BaseName), we collected the required five channels and built a 5×H×W uint16 stack in the channel order expected by our CellPaintSSL pipeline, corresponding to (mito, agp, rna, er, dna). For each channel, intensities were clipped to the 0.1–99.9th percentiles and then linearly rescaled to the full 16-bit range (0–65535). The five rescaled channels were stacked along a new axis and saved as a single multi-channel TIFF (BaseName.tiff). In addition, a global Otsu threshold was computed on the DNA channel (normalized to [0, 1]) and stored in the TIFF metadata as the field otsuth. The resulting CellPaintSSL_IN_MOA dataset therefore consists of 5-channel, per-field TIFF stacks (mito, agp, rna, er, dna) with standardized 16-bit intensity scaling and an accompanying per-image DNA Otsu threshold.
DOI: 10.5281/zenodo.17628542
title: CellPaintSSL_IN_MOA: Preprocessed Cell Painting MOA plate (images and dataset.csv) for CellPaintSSL zero-shot inference

description: Summary

CellPaintSSL_IN_MOA is a preprocessed Cell Painting dataset built from a single MOA plate and prepared specifically for running the CellPaintSSL model in a strictly zero‐shot regime (no fine‐tuning). The dataset contains five‐channel Cell Painting images transformed into the input format required by the official CellPaintSSL implementation, together with a manifest file (`dataset.csv`) that links each image to well, site, and perturbation metadata.

This dataset is derived from the same experimental plate used in our MOAProfiler_Feature_Extractor workflow, but it uses a different preprocessing and manifest format tailored to CellPaintSSL rather than MOAProfiler.

Contents



`images/` – preprocessed five‐channel Cell Painting images in the format expected by CellPaintSSL.

`dataset.csv` – manifest linking each image to `plate`, `well`, `site`, `perturbation_id`, etc.


All metadata and file naming conventions are compatible with the official CellPaintSSL codebase from Bayer (https://github.com/Bayer-Group/CellPaintSSL).

How the data were generated

Raw Cell Painting images from the MOA plate were stored as separate 16-bit TIFF files per channel with filenames of the form BaseName-chX*.tiff. For each field of view (identified by BaseName), we collected the required five channels and built a 5×H×W uint16 stack in the channel order expected by our CellPaintSSL pipeline, corresponding to (mito, agp, rna, er, dna). For each channel, intensities were clipped to the 0.1–99.9th percentiles and then linearly rescaled to the full 16-bit range (0–65535). The five rescaled channels were stacked along a new axis and saved as a single multi-channel TIFF (BaseName.tiff). In addition, a global Otsu threshold was computed on the DNA channel (normalized to [0, 1]) and stored in the TIFF metadata as the field otsuth. The resulting CellPaintSSL_IN_MOA dataset therefore consists of 5-channel, per-field TIFF stacks (mito, agp, rna, er, dna) with standardized 16-bit intensity scaling and an accompanying per-image DNA Otsu threshold.
DOI: 10.5281/zenodo.17258451
title: Manchester Proteome Profiler (MPP): A User-Friendly Platform for Quantitative Proteomic Analysis

description: This dataset and associated resources support the manuscript describing Manchester Proteome Profiler (MPP), an open-source R Shiny application for downstream analysis of quantitative proteomics data. MPP enables streamlined workflows for filtering, normalization, imputation, differential expression analysis, and clustering across single or dual datasets. It integrates SAINTexpress for AP-MS and proximity labeling experiments and provides functional interpretation through Gene Ontology enrichment and protein–protein interaction networks using BioGRID and STRING.

The files include:



Example input datasets processed with MaxQuant and FragPipe

Experimental and comparison template


Key Features:



Compatible with MaxQuant, FragPipe, Proteome Discoverer, and custom formats

Supports complex experimental designs and two-dataset comparisons

Interactive visualizations and publication-ready reports

Open-source code available on GitHub: https://github.com/StuCain/Manchester_Proteome_Profiler

Public server: https://mpp.sbs.manchester.ac.uk
DOI: 10.5281/zenodo.17258450
title: Manchester Proteome Profiler (MPP): A User-Friendly Platform for Quantitative Proteomic Analysis

description: This dataset and associated resources support the manuscript describing Manchester Proteome Profiler (MPP), an open-source R Shiny application for downstream analysis of quantitative proteomics data. MPP enables streamlined workflows for filtering, normalization, imputation, differential expression analysis, and clustering across single or dual datasets. It integrates SAINTexpress for AP-MS and proximity labeling experiments and provides functional interpretation through Gene Ontology enrichment and protein–protein interaction networks using BioGRID and STRING.

The files include:



Example input datasets processed with MaxQuant and FragPipe

Experimental and comparison template


Key Features:



Compatible with MaxQuant, FragPipe, Proteome Discoverer, and custom formats

Supports complex experimental designs and two-dataset comparisons

Interactive visualizations and publication-ready reports

Open-source code available on GitHub: https://github.com/StuCain/Manchester_Proteome_Profiler

Public server: https://mpp.sbs.manchester.ac.uk
DOI: 10.15468/dl.82ve6k
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de vertebrados durante el fototrampeo de ecología de carreteras, 2018, convenio_105_2017 entre Panthera y la CVC"
 ]
}

 The dataset includes 467 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007941-251120083545085/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.30710747
title: Summary of EDS results associated to the SEM analysis of Pheneos historical ceramic slips assemblage.

description: summary of the SEM-EDS analysis of slipped ceramics from Pheneos.
DOI: 10.6084/m9.figshare.30710747.v1
title: Summary of EDS results associated to the SEM analysis of Pheneos historical ceramic slips assemblage.

description: summary of the SEM-EDS analysis of slipped ceramics from Pheneos.
DOI: 10.15468/dl.z4p486
title: Occurrence Download

description: A dataset containing 4831264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Year is 1991"
 ]
}

 The dataset includes 4831264 records from 661 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007897-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71486/5wkg-3q29
title: Dataset of the paper “Variable neighborhood search approach to face-shield delivery during pandemic periods”. International Transactions in Operational Research, 32(2), 719-744

description: In 2020, the COVID-19 pandemic and its rapid spread shook health authorities worldwide at the regional and national levels. Healthcare systems had difficulty acquiring important supplies, such as face shields, which at that time were essential for healthcare staff. The need for this material increased with the spread of the pandemic. In most areas, warehouses did not have a sufficient stock of this product. This situation has occurred in the cities and provinces of Burgos (Spain). Volunteers (citizens and small companies) owning three-dimensional printers offered themselves to manufacture face shields. These volunteers are called “makers.” Similarly, different organizations (mainly Civil Protection) took charge of transport activities (delivery of material to the makers, collection of face shields, and delivery of the latter to hospitals and other entities). In this study, we were tasked with developing a system for planning and rationalizing these activities. The problems that were solved included a vehicle routing problem with different characteristics compared with other models in the literature. A previous work described this problem, and the heuristic method used for the planning. However, it is necessary to develop tools that are as efficient as possible for similar situations. In this study, we propose a mathematical formulation of the problem and a method based on the metaheuristic strategies variable neighborhood search and greedy randomize adaptative search procedure on a multistart framework. Different tests with real instances used during the period in which these activities were conducted show that the new method improves the results obtained by the previous method as well as the commercial software.
DOI: 10.34740/kaggle/dsv/12813296
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.29710466
title: A Practical Project to Develop Teaching Materials for Japanese Primary School Home Economics Lessons in Collaboration with Local Businesses to Boost Risk Reduction and Resilience Education

description: Prototype1This data is the result of 46 university students taking an elementary home economics education methods class on 21 November 2021 (length sewn within 45 minutes.) The students were asked to respond via Google Form.<br>Prototype2This data records the time taken by 50 university students who took the Elementary School Home Economics Education Methods Class on 28 July 2022 to produce the ‘Prototype 2.’ The students were asked to fill in the time taken to produce the product in their assignment reports. This data was prepared by the author based on the times entered in the reports.
DOI: 10.6084/m9.figshare.29710466.v7
title: A Practical Project to Develop Teaching Materials for Japanese Primary School Home Economics Lessons in Collaboration with Local Businesses to Boost Risk Reduction and Resilience Education

description: Prototype1This data is the result of 46 university students taking an elementary home economics education methods class on 21 November 2021 (length sewn within 45 minutes.) The students were asked to respond via Google Form.<br>Prototype2This data records the time taken by 50 university students who took the Elementary School Home Economics Education Methods Class on 28 July 2022 to produce the ‘Prototype 2.’ The students were asked to fill in the time taken to produce the product in their assignment reports. This data was prepared by the author based on the times entered in the reports.
DOI: 10.15468/dl.km8fqg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes microlepis Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((9.7509 37.8496,8.9648 37.5879,8.9648 28.8496,17.9648 28.8496,17.9648 31.4107,15.9933 31.8399,15.7087 32.5876,15.3783 32.8575,13.447 33.3951,12.448 33.3201,11.5958 33.6971,11.3566 34.2292,11.7126 34.4306,11.838 34.8337,11.4958 36.0284,11.2722 36.2509,11.6203 36.7533,11.5006 37.3226,11.1934 37.5676,10.5795 37.5806,9.7509 37.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010721-250525065834625/datasets/export for details.
DOI: 10.15468/dl.xh9bwc
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Allium bidentatum Fisch. ex Prokh. & Ikonn.-Gal.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 58 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010722-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wz4yda
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016110-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.354tbh
title: Occurrence Download

description: A dataset containing 0 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 (Argusianus argus (Linnaeus, 1766))",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016113-250525065834625/datasets/export for details.
DOI: 10.15468/dl.58gzb7
title: Occurrence Download

description: A dataset containing 1 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 (Argusianus argus (Linnaeus, 1766))",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016112-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzcnrj
title: Occurrence Download

description: A dataset containing 0 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 (Argusianus argus (Linnaeus, 1766))",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016114-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tk49wg
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucocalocybe mongolica"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049504-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywwhfg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera periclymenum",
 "Country is Iraq",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049507-250811113504898/datasets/export for details.
DOI: 10.17871/10.17871/carboscope-oc_v2025
title: Jena CarboScope: pCO2-based ocean mixed-layer scheme
DOI: 10.15468/dl.pwmrph
title: Occurrence Download

description: A dataset containing 18474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Eleocharis acuta"
 ]
}

 The dataset includes 18474 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049506-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15547854
title: TABLE 2 in Iterative taxonomy reveals a new species of Cambeva (Siluriformes: Trichomycteridae) with intraspecific variation from the rio Piquiri and Ivaí basin, upper rio Paraná basin, Brazil

description: TABLE 2 | Loading results of measurements used in the PCA for Cambeva perobana.
Morphometric dataPC 1PC 2PC 3Preanal lenght0.029-0.101-0.02625Prepelvic lenght0.031-0.073-0.1071Pelvic-anal distance-0.251-0.0480.60038Caudal-penduncle length0.0880.001-0.16695Scapular girdle width0.0690.0260.042599Pectoral-fin length-0.061-0.170-0.0314Pelvic-fin length0.131-0.095-0.03154Anal-fin length0.034-0.106-0.06591Head lenght0.030-0.052-0.10419Predorsal length0.029-0.074-0.09848Dorsal-fin lenght0.0210.0620.08714Body depth-0.0210.028-0.07419Dorsal-fin base length0.0830.0230.17143Anal-fin base length0.150-0.3940.45076Caudal-peduncle depth0.0280.022-0.09493Head width0.0150.026-0.09189Nasal-barbel length-0.3400.632-0.14557Maxillary-barbel length-0.2000.2230.16384Rictal-barbel length-0.3480.1910.24651Snout length0.044-0.103-0.31877Interorbital-0.084-0.080-0.13356Mouth width-0.023-0.126-0.18196Eye diameter-0.004-0.015-0.01823Supraorbital pores s6 distance0.7630.4940.21447
description: Published as part of Martins, Isadora Carolina, Reis, Renan Borges dos, Stabile, Bruno Henrique Mioto & Graça, Weferson Júnio da, 2024, Neotropical Ichthyology 22 (3) on page e 230140, DOI: 10.1590/1982-0224-2023-0140, http://zenodo.org/record/15547787