cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/nbiypy/qby713
title: Settembre_1917_Pagina_175.jpg

description: Bulletin of 1917/09/30
DOI: 10.13130/rd_unimi/nbiypy/2ebke1
title: Settembre_1917_Pagina_176.jpg

description: Bulletin of 1917/09/30
DOI: 10.13130/rd_unimi/nbiypy/svsvsu
title: Settembre_1917_Pagina_177.jpg

description: Bulletin of 1917/09/30
DOI: 10.13130/rd_unimi/nbiypy/8qboiu
title: Settembre_1917_Pagina_179.jpg

description: Bulletin of 1917/09/30
DOI: 10.13130/rd_unimi/nbiypy/jgkvlb
title: Settembre_1917_Pagina_178.jpg

description: Bulletin of 1917/09/30
DOI: 10.13130/rd_unimi/nbiypy/bwf2xk
title: Settembre_1917_Pagina_180.jpg

description: Bulletin of 1917/09/30
DOI: 10.13130/rd_unimi/nbiypy/ugiy3x
title: Gennaio_1917_Pagina_168.jpg

description: Bulletin of 1917/01/28
DOI: 10.15161/oar.it/212105
title: Note Illustrative della Carta geologica d'Italia alla scala 1:50.000, F. 277 Bibbiena
DOI: 10.13130/rd_unimi/nbiypy
title: ReData: 1917 - Daily meteorological bulletins edited by the Italian Royal Central Meteorological Office

description: This dataset contains the daily meteorological bulletins edited by the Italian Royal Central Meteorological Office relative to the year 1917
description: Most of the scans (about 95%) were made from bulletins archived at the Department of Environmental Science and Policy of UniMi, while the remaining scans were obtained from bulletins preserved at the Central Historical Library of the Collegio Romano in Rome.
description: The scans of the bulletins from UniMi were carried out between 2016 and 2025 by the Garon private company; the remaining scans were completed in February 2025 as part of the “Dieci e Lode” project, funded by the Italian Ministry of Culture (https://aisam.eu/progetti/10-e-lode-en/, accessed on 1st July 2025).
description: To cite this dataset, please refer to the dataset citation of the central ReData dataset: Ceppi Alessandro; Manara Veronica; Brugnara Yuri; Buccheri Gabriele; Caruso Goffredo; Cerri Luca; Di Giovanni Maria; Giazzi Marco; Luperi Ludovico Lapo; Ronca Luca; Sogno Elisa; Maugeri Maurizio, 2025, "ReData: daily meteorological bulletins edited by the Italian Royal Central Meteorological Office from 1879 to 1940", https://doi.org/10.13130/RD_UNIMI/R1GVKF, UNIMI Dataverse
DOI: 10.5281/zenodo.13769102
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.13798772
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.13820402
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.13825195
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.13851354
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.8143316
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.<br> https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.10276826
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.10289491
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.10522583
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.10552012
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.10790574
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.10827486
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.13760444
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.13769567
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.13796876
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.13849053
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.15005955
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.15012705
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.15068509
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.15182021
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.15579412
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.15579549
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.8121686
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.
https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.8121687
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.<br> https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.8124768
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.<br> https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.8136686
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.<br> https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.8204309
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.<br> https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.8386066
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.<br> https://github.com/paulsengroup/hictk
DOI: 10.5281/zenodo.8392109
title: Test dataset for https://github.com/paulsengroup/hictk

description: Dataset for hictk unit and integration tests.<br> https://github.com/paulsengroup/hictk
DOI: 10.15468/dl.u55wu2
title: Occurrence Download

description: A dataset containing 247 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 Asclepias viridis Walter",
 "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 247 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007269-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15548254
title: TABLE 1 in Number of individuals, but not habitat complexity, influences the antipredator behavior of an Amazonian floodplain fish

description: TABLE 1 | Summary output of two-way ANOVA fitting the flight initiation distance of sailfin tetra as response variable. Df = Degrees of freedom; Sum Sq = Sum of Squares; and Mean Sq = Mean Squares. Asterisks indicate significance level. *p <0.05, **p <0.01, and ***p <0.001.
VariableDfSum SqMean SqF-valuep-valueHabitat complexity39.473.152.260.08Number of individuals122.3422.3416.05<0.0001***Complexity x number of individuals311.633.872.780.04*Residuals380528.791.39
description: Published as part of Pinheiro, Jonison V., Albuquerque, Alessandra, Ferreira, Daiara, Gonçalves, Diuliane M. & Giglio, Vinicius J., 2024, Neotropical Ichthyology 22 (3) on page e 240044, DOI: 10.1590/1982-0224-2024-0044, http://zenodo.org/record/15548228
DOI: 10.5281/zenodo.15548253
title: TABLE 1 in Number of individuals, but not habitat complexity, influences the antipredator behavior of an Amazonian floodplain fish

description: TABLE 1 | Summary output of two-way ANOVA fitting the flight initiation distance of sailfin tetra as response variable. Df = Degrees of freedom; Sum Sq = Sum of Squares; and Mean Sq = Mean Squares. Asterisks indicate significance level. *p <0.05, **p <0.01, and ***p <0.001.
VariableDfSum SqMean SqF-valuep-valueHabitat complexity39.473.152.260.08Number of individuals122.3422.3416.05<0.0001***Complexity x number of individuals311.633.872.780.04*Residuals380528.791.39
description: Published as part of Pinheiro, Jonison V., Albuquerque, Alessandra, Ferreira, Daiara, Gonçalves, Diuliane M. & Giglio, Vinicius J., 2024, Neotropical Ichthyology 22 (3) on page e 240044, DOI: 10.1590/1982-0224-2024-0044, http://zenodo.org/record/15548228
DOI: 10.5281/zenodo.15548255
title: TABLE 2 in Number of individuals, but not habitat complexity, influences the antipredator behavior of an Amazonian floodplain fish

description: TABLE 2 | Descriptions of observed behaviors in fish when exposed to a predator stimulus.
BehaviorDescriptionRefuge algaeUpon detecting the presence of the predator, the individual sought refuge among artificial plants.Refuge rockyUpon detecting the presence of the predator, the individual sought refuge among small rocks.Swim awayUpon detecting the presence of the predator, the individual swam away without seeking shelter among small rocks or artificial plants.
description: Published as part of Pinheiro, Jonison V., Albuquerque, Alessandra, Ferreira, Daiara, Gonçalves, Diuliane M. & Giglio, Vinicius J., 2024, Neotropical Ichthyology 22 (3) on page e 240044, DOI: 10.1590/1982-0224-2024-0044, http://zenodo.org/record/15548228
DOI: 10.5281/zenodo.15548256
title: TABLE 2 in Number of individuals, but not habitat complexity, influences the antipredator behavior of an Amazonian floodplain fish

description: TABLE 2 | Descriptions of observed behaviors in fish when exposed to a predator stimulus.
BehaviorDescriptionRefuge algaeUpon detecting the presence of the predator, the individual sought refuge among artificial plants.Refuge rockyUpon detecting the presence of the predator, the individual sought refuge among small rocks.Swim awayUpon detecting the presence of the predator, the individual swam away without seeking shelter among small rocks or artificial plants.
description: Published as part of Pinheiro, Jonison V., Albuquerque, Alessandra, Ferreira, Daiara, Gonçalves, Diuliane M. & Giglio, Vinicius J., 2024, Neotropical Ichthyology 22 (3) on page e 240044, DOI: 10.1590/1982-0224-2024-0044, http://zenodo.org/record/15548228
DOI: 10.5281/zenodo.17649900
title: Paleolatitude Calculator

description: We provide two versions (R and Python) of the Paleolatitude Calculator for drawing the curves of the paleolatitude of the East Gondwana.
DOI: 10.5281/zenodo.17649899
title: Paleolatitude Calculator

description: We provide two versions (R and Python) of the Paleolatitude Calculator for drawing the curves of the paleolatitude of the East Gondwana.
DOI: 10.5281/zenodo.17707972
title: MOAProfiler_IN_MOA: Preprocessed Cell Painting MOA plate (images and manifest.csv) for MOAProfiler_Feature_Extractor

description: Summary

MOAProfiler_IN_MOA is a preprocessed Cell Painting dataset built from a single MOA plate and prepared specifically for running the MOAProfiler_Feature_Extractor model in an embedding-only regime. The dataset contains five-channel Cell Painting images transformed into the input format required by the MOAProfiler embedding scripts, together with a manifest file (manifest.csv) that links each image to well, site, channel, and perturbation metadata.

This dataset corresponds to the same experimental plate as the CellPaintSSL_IN_MOA dataset, but uses a preprocessing and manifest format tailored to MOAProfiler_Feature_Extractor rather than CellPaintSSL.

Contents





images/ – preprocessed single-plane 16-bit TIFF images (five fluorescence channels, 1080×1080 px), organised by plate, well, and site in the format expected by MOAProfiler_Feature_Extractor (one TIFF per channel and field of view, e.g. ch1.tif … ch5.tif).




manifest.csv – manifest linking each image to plate, well, site, channel and file paths, used by the MOAProfiler_Feature_Extractor code to locate input files and assemble per-field five-channel stacks.



How the data were generated

Raw Cell Painting images from the MOA plate were acquired as separate 16-bit TIFF files per channel using a high-content screening system. Illumination correction was performed and the fields of view were then cropped and padded to a standardized size of 1080×1080 pixels, matching the expected input of the MOAProfiler embedding pipeline. For each field of view and channel, the corrected images were saved as 16-bit TIFF files with a consistent naming scheme (ch1.tif … ch5.tif) and organised into the images/ directory by plate, well, and site.

The manifest.csv file was generated from the plate map and image metadata and contains, for every channel and site, the relative path to the corresponding TIFF together with plate, well, site and perturbation annotations. The resulting MOAProfiler_IN_MOA dataset therefore consists of five separate 16-bit TIFF images per field of view (one per channel) and a manifest that enables direct use with the MOAProfiler_Feature_Extractor embedding scripts.
DOI: 10.5281/zenodo.17617785
title: MOAProfiler_IN_MOA: Preprocessed Cell Painting MOA plate (images and manifest.csv) for MOAProfiler_Feature_Extractor

description: Summary

MOAProfiler_IN_MOA is a preprocessed Cell Painting dataset built from a single MOA plate and prepared specifically for running the MOAProfiler_Feature_Extractor model in an embedding-only regime. The dataset contains five-channel Cell Painting images transformed into the input format required by the MOAProfiler embedding scripts, together with a manifest file (manifest.csv) that links each image to well, site, channel, and perturbation metadata.

This dataset corresponds to the same experimental plate as the CellPaintSSL_IN_MOA dataset, but uses a preprocessing and manifest format tailored to MOAProfiler_Feature_Extractor rather than CellPaintSSL.

Contents





images/ – preprocessed single-plane 16-bit TIFF images (five fluorescence channels, 1080×1080 px), organised by plate, well, and site in the format expected by MOAProfiler_Feature_Extractor (one TIFF per channel and field of view, e.g. ch1.tif … ch5.tif).




manifest.csv – manifest linking each image to plate, well, site, channel and file paths, used by the MOAProfiler_Feature_Extractor code to locate input files and assemble per-field five-channel stacks.



How the data were generated

Raw Cell Painting images from the MOA plate were acquired as separate 16-bit TIFF files per channel using a high-content screening system. Illumination correction was performed and the fields of view were then cropped and padded to a standardized size of 1080×1080 pixels, matching the expected input of the MOAProfiler embedding pipeline. For each field of view and channel, the corrected images were saved as 16-bit TIFF files with a consistent naming scheme (ch1.tif … ch5.tif) and organised into the images/ directory by plate, well, and site.

The manifest.csv file was generated from the plate map and image metadata and contains, for every channel and site, the relative path to the corresponding TIFF together with plate, well, site and perturbation annotations. The resulting MOAProfiler_IN_MOA dataset therefore consists of five separate 16-bit TIFF images per field of view (one per channel) and a manifest that enables direct use with the MOAProfiler_Feature_Extractor embedding scripts.
DOI: 10.15468/dl.4xqsuj
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Restrepia chocoensis"
 ]
}

 The dataset includes 14 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007942-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8y29j
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.12170 -46.13516,-68.10029 -46.13516,-68.10029 -39.81267,-77.12170 -39.81267,-77.12170 -46.13516))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylorina sylvatica"
 ]
}

 The dataset includes 154 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007944-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2908/agr_r_accts_h
title: Economic accounts for agriculture by NUTS 2 region (until 2012)
title: Landwirtschaftliche Gesamtrechnung nach NUTS-2-Region (bis 2012)
title: Comptes économiques de l'agriculture par région NUTS 2 (jusqu'en 2012)
DOI: 10.15468/dl.ckkj8f
title: Occurrence Download

description: A dataset containing 28828 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 Trogon citreolus"
 ]
}

 The dataset includes 28828 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007945-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqf39w
title: Occurrence Download

description: A dataset containing 34109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((5.64497 52.35433,5.24805 52.18846,5.85796 51.82494,6.90351 51.84289,6.8551 52.17065,6.26456 52.38389,5.64497 52.35433))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lacerta agilis"
 ]
}

 The dataset includes 34109 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007946-251120083545085/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.30450794
title: Global transcriptional reprogramming by cytomegalovirus infection suppresses MHC class II antigen presentation while enhancing migration machinery in murine dendritic cells

description: Supplementary files that support "Global transcriptional reprogramming by cytomegalovirus infection suppresses MHC class II antigen presentation while enhancing migration machinery in murine dendritic cells"
DOI: 10.6084/m9.figshare.30450794.v1
title: Global transcriptional reprogramming by cytomegalovirus infection suppresses MHC class II antigen presentation while enhancing migration machinery in murine dendritic cells

description: Supplementary files that support "Global transcriptional reprogramming by cytomegalovirus infection suppresses MHC class II antigen presentation while enhancing migration machinery in murine dendritic cells"
DOI: 10.15468/dl.8fsnhs
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leontopithecus chrysomelas"
 ]
}

 The dataset includes 229 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007947-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/928265
title: Monitoring Melitaea cinxia on Rauer Norway

description: This project contains data collected in conjunction with the project Monitoring of Melitaea cinxia on Rauer, Norway. The project was established in 2022 and aims to study the effects of different management practices on vegetation, and as such habitat suitability for M. cinxia. In short, 10 permanent vegetation plots (1 m2) were established at two 40 x 40m sites on the island of Rauer, which is a known locality for M. cinxia. Additional plots were established around any winternests of M. cinxia found within each of the 40 x 40 m sites. At each plot, the cover of all vascular plants and vegetation parameters (e.g., vegetation cover, vegetation height) was recorded. In 2022, the dataset contained 32 plots. In 2023, all 20 permanent plots were revisited. Six of these had received treatment in the form of mowing or shrub removal. In addition, 15 temporary plots were analysed. In 2023, the dataset contained 35 plots. In 2024, all permanent plots were revisited and a simplified vegetation analysis performed. In 2025, all 20 permanent plots were revisited and a full vegetation analyses performed. Two temporary plots were analysed. In addition, seven new plots were established where vegetation structure was recorded in a 5 m radius arount the midpoint. Such circles were also established arount 10 of the 20 permanent plots.
DOI: 10.15468/dl.t7vvyb
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Orthochilus ruwenzoriensis"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007948-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.