cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qjpmr5
title: Occurrence Download

description: A dataset containing 993 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 Mida A.Cunn. ex A.Cunn."
 ]
}

 The dataset includes 993 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006742-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15462674
title: Data_set_of_solar_technoeconomic_analysis
DOI: 10.5281/zenodo.15462675
title: Data_set_of_solar_technoeconomic_analysis
DOI: 10.15468/dl.fyt6cb
title: Occurrence Download

description: A dataset containing 11273 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Harmful Algal Event Database (HAEDAT)"
 ]
}

 The dataset includes 11273 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006743-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebfmy6
title: Occurrence Download

description: A dataset containing 249700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies alba Mill.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 249700 records from 922 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006740-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kt9ts
title: Occurrence Download

description: A dataset containing 968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tamarix L."
 ]
}

 The dataset includes 968 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008508-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gght3q
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Antirrhinum charidemi"
 ]
}

 The dataset includes 186 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029110-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdfgr2
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Gentiana sierrae"
 ]
}

 The dataset includes 82 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029108-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kctd2p
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kinixys nogueyi"
 ]
}

 The dataset includes 51 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029112-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7eayg
title: Occurrence Download

description: A dataset containing 3783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atriplex lentiformis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3783 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039611-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpfpk5
title: Occurrence Download

description: A dataset containing 30833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coleosporium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30833 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039612-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/ovrptv
title: FISH-AI_2022.10.11_General Assembly

description: This dataset collects the record and documents of the general meeting which took place on the 11th of October 2022
DOI: 10.13130/rd_unimi/ovrptv/4zkswc
title: FISH-AI_2022.10.11_Fish-AI General Assembly_recording.mp4
DOI: 10.13130/rd_unimi/ovrptv/psitng
title: FISH-AI_2022.10.11_GeneralmeetingAttendanceReport(General).tab
DOI: 10.13130/rd_unimi/8l6ovt
title: FISH-AI_2022.02.01_WP5 In vivo experiment

description: This dataset collects the recording and the documents of the meeting which took place on the 1st february 2022.
DOI: 10.13130/rd_unimi/8l6ovt/iffuqq
title: FISH-AI_2022.02.01_WP 05 in vivo experiments_tasks division.tab
DOI: 10.13130/rd_unimi/8l6ovt/pck59z
title: FISH-AI_2022.02.01_WP5 in vivo experiments_recording.mp4
DOI: 10.13130/rd_unimi/pqjwvh
title: FISH-AI_2022.09.13_Post-holiday Recap meeting

description: This dataset gathers all the videos, minutes, and documents produced during the "Post-holyday recap" meeting held on the 13rd of September 2022
DOI: 10.13130/rd_unimi/pqjwvh/ovkwky
title: FISH-AI_2022.09.13_Post-Holiday recap meeting_Agenda.docx
DOI: 10.13130/rd_unimi/pqjwvh/ivorcm
title: FISH-AI_2022.09.13_Post-Holiday recap meeting_recording.mp4
DOI: 10.13130/rd_unimi/q92mpu
title: FISH-AI_2021.09.23_Autumn Meeting

description: This dataset collects the recording and the documents related to the Autumn meeting (23rd September 2021)
DOI: 10.13130/rd_unimi/q92mpu/lrbekv
title: FISH-AI_2021.09.23_Autumn Meeting_Update WP5 WP6 feeding trials.docx
DOI: 10.13130/rd_unimi/q92mpu/nsfiwx
title: FISH-AI_2021.09.23_Autumn Meeting_4th Trimester Workplan.tab
DOI: 10.13130/rd_unimi/q92mpu/aa4cbp
title: FISH-AI_2021.09.23_Autumn Meeting_Recording.mp4
DOI: 10.13130/rd_unimi/q92mpu/nhicbj
title: FISH-AI_2021.09.23_Autumn Meeting_Workplan_Agenda.docx
DOI: 10.13130/rd_unimi/q92mpu/5qtnby
title: FISH-AI_2021.09.23_Autumn Meeting_Metabolomic Report.tab
DOI: 10.13130/rd_unimi/pkz7fj/m6klkm
title: NS Phosphoproteome data.tab
DOI: 10.13130/rd_unimi/pkz7fj/rqomls
title: NS Proteome data.tab
DOI: 10.13130/rd_unimi/pkz7fj/ulvpce
title: Read me file.pdf
DOI: 10.13130/rd_unimi/mnlt9v
title: Deliverable 4.06 extraction of bio-accessible fractions

description: The following dataset includes data, images and text orientated from the work performed in IOLR related to:
D 4.6: Optimized extraction of the bio-accessible fractions from feed pellets (submitted 31.03.2022)
and Effect of digesta on cell monolayer permeability as described in Annex1 of the second period technical report
DOI: 10.13130/rd_unimi/mnlt9v/d61c1y
title: FISH_AI_IOLR_CYTOTOXICITY_RTpi_SOLVENTS.pptx

description: Results of alamar blue assay on RTpiMI cells exposed to digesta resuspended in different conditions
DOI: 10.13130/rd_unimi/mnlt9v/oddq7i
title: FISH_AI_IOLR_CYTOTOXICITY_RTdi.pptx

description: Results of cytotoxicity assays on RTdiMI cells exposed to digesta
DOI: 10.13130/rd_unimi/mnlt9v/xziwfl
title: FISH_AI_IOLR_A4_COND_A_B.tab

description: Raw data of protein quantification (BCA, Bradford and OPA) of feed digested by enzyme extracts under either Condition A or Condition B
DOI: 10.13130/rd_unimi/mnlt9v/qi6fkw
title: FISH_AI_IOLR_TEER_RT.pptx

description: Evaluation of the cell monolayer formation by TEER measurement
DOI: 10.13130/rd_unimi/mnlt9v/ermcxb
title: FISH_AI_IOLR_DEGRADATION_ASSAY.tab

description: Raw data of degradation assay of hydrogel membranes exposed to digesta
DOI: 10.13130/rd_unimi/mnlt9v/b1nutl
title: README_Deliverable 4.06 extraction of bio-accessible fractions.txt
DOI: 10.13130/rd_unimi/mnlt9v/wtkurf
title: FISH_AI_IOLR_BSA_PEPSIN.pptx

description: Protein quantification (BCA, Bradford and OPA) and protein electrophoresis of BSA digested by pepsin
DOI: 10.13130/rd_unimi/mnlt9v/lyu3vw
title: FISH_AI_IOLR_LY_RT.xlsx

description: Raw data of the evaluation of the cell monolayer formation by LY permeability assay
DOI: 10.13130/rd_unimi/mnlt9v/xx81em
title: FISH_AI_IOLR_DIGESTA_TEER.pptx

description: Effect of the digesta on the resistance of RTpiMI or RTdiMI monolayers
DOI: 10.13130/rd_unimi/mnlt9v/g2l5xv
title: FISH_AI_IOLR_BSA_PEPSIN.xlsx

description: Raw data of protein quantification (BCA, Bradford and OPA) of BSA digested by pepsin
DOI: 10.13130/rd_unimi/mnlt9v/34biku
title: FISH_AI_IOLR_DIGESTA_LY.pptx

description: Effect of the digesta on the permeability to LY in monolayers of either RTpiMI or RTdiMI monolayers
DOI: 10.13130/rd_unimi/mnlt9v/wygjrc
title: FISH_AI_IOLR_DIGESTA_LY.tab

description: Raw data of the effect of the digesta on the permeability to LY in monolayers of either RTpiMI or RTdiMI monolayers
DOI: 10.13130/rd_unimi/mnlt9v/hh5hgm
title: FISH_AI_IOLR_A4_PEPSIN.tab

description: Raw data of protein quantification (BCA, Bradford and OPA) of feed digested by pepsin
DOI: 10.13130/rd_unimi/mnlt9v/shdh3c
title: FISH_AI_IOLR_CYTOTOXICITY_RTpi.pptx

description: Results of cytotoxicity assays on RTpiMI cells exposed to digesta
DOI: 10.13130/rd_unimi/mnlt9v/1tntnf
title: FISH_AI_IOLR_2_WAY_ANOVA_COND_A_B.docx

description: Statistical analysis of the digestion of feed by enzyme extracts under either Condition A or Condition B
DOI: 10.13130/rd_unimi/mnlt9v/cyxiyz
title: FISH_AI_IOLR_CYTOTOXICITY_RTdi.tab

description: Raw data of cytotoxicity assays on RTdiMI cells exposed to digesta
DOI: 10.13130/rd_unimi/mnlt9v/hectlm
title: FISH_AI_IOLR_A4_PEPSIN.pptx

description: Protein quantification (BCA, Bradford and OPA) and protein electrophoresis of feed digested by pepsin
DOI: 10.13130/rd_unimi/mnlt9v/1zyzaz
title: FISH_AI_IOLR_LY_RT.pptx

description: Evaluation of the cell monolayer formation by LY permeability assay
DOI: 10.13130/rd_unimi/mnlt9v/glbh0g
title: FISH_AI_IOLR_A4_COND_A_B.pptx

description: Protein quantification (BCA, Bradford and OPA) and protein electrophoresis of feed digested by enzyme extracts under either Condition A or Condition B
DOI: 10.13130/rd_unimi/mnlt9v/upi2gg
title: FISH_AI_IOLR_CYTOTOXICITY_RTpi.tab

description: Raw data of cytotoxicity assays on RTpiMI cells exposed to digesta
DOI: 10.13130/rd_unimi/mnlt9v/up85dt
title: FISH_AI_IOLR_DEGRADATION_ASSAY.pptx

description: Degradation assay of hydrogel membranes exposed to digesta
DOI: 10.13130/rd_unimi/mnlt9v/kxzbom
title: FISH_AI_IOLR_TEER_RT.tab

description: Raw data of the evaluation of the cell monolayer formation by TEER measurement
DOI: 10.13130/rd_unimi/mnlt9v/4ard6u
title: FISH_AI_IOLR_LY_RT_STATS.tab

description: Statistics of the evaluation of the cell monolayer formation by LY permeability assay
DOI: 10.13130/rd_unimi/mnlt9v/dyrwce
title: FISH_AI_IOLR_CYTOTOXICITY_RTpi_SOLVENTS.xlsx

description: Raw data of alamar blue assay on RTpiMI cells exposed to digesta resuspended in different conditions
DOI: 10.15468/dl.6sh3wq
title: Occurrence Download

description: A dataset containing 32421 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Vaccinium duclouxii",
 "TaxonKey is Vaccinium mathewsii",
 "TaxonKey is Vaccinium uliginosum occidentale",
 "TaxonKey is Vanda nana",
 "TaxonKey is Vanilla ovalis",
 "TaxonKey is Vasivaea alchorneoides",
 "TaxonKey is Vatica odorata",
 "TaxonKey is Vauquelinia californica californica",
 "TaxonKey is Goodenia paradoxa",
 "TaxonKey is Viola chamissoniana",
 "TaxonKey is Viola kauaensis",
 "TaxonKey is Viola maviensis",
 "TaxonKey is Viola oahuensis",
 "TaxonKey is Viola robusta",
 "TaxonKey is Viola tracheliifolia",
 "TaxonKey is Viola wailenalenae",
 "TaxonKey is Virola elongata",
 "TaxonKey is Virola koschnyi",
 "TaxonKey is Vismia gracilis",
 "TaxonKey is Vismia guineensis",
 "TaxonKey is Vitis wilsonae",
 "TaxonKey is Vochysia majuscula",
 "TaxonKey is Vochysia megalophylla",
 "TaxonKey is Andryala rothia",
 "TaxonKey is Walsura pinnata",
 "TaxonKey is Weinmannia balbisana",
 "TaxonKey is Wendlandia tinctoria",
 "TaxonKey is Wikstroemia furcata",
 "TaxonKey is Alstonia rostrata",
 "TaxonKey is Periomphale balansae",
 "TaxonKey is Xanthophyllum flavescens",
 "TaxonKey is Xanthostemon verdugonianus",
 "TaxonKey is Arctostaphylos bicolor",
 "TaxonKey is Xylopia stenopetala",
 "TaxonKey is Xylotheca kraussiana",
 "TaxonKey is Zelkova schneideriana",
 "TaxonKey is Zygogynum baillonii",
 "TaxonKey is Zygogynum queenslandianum"
 ]
}

 The dataset includes 32421 records from 540 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039614-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/mnlt9v/qdovms
title: FISH_AI_IOLR_DIGESTA_TEER.tab

description: Raw data of the effect of the digesta on the resistance of RTpiMI or RTdiMI monolayers
DOI: 10.5281/zenodo.17633855
title: StageIV-IRC – A High-resolution Dataset of Extreme Orographic Quantitative Precipitation Estimates (QPE) Constrained to Water Budget Closure for Historical Floods in the Appalachian Mountains

description: Quantitative Flood Estimation (QFE) in complex terrain remains a grand challenge in operational hydrology due to the lack of accurate high-resolution Quantitative Precipitation Estimates (QPE) at spatial and temporal resolutions needed to capture the variability of orographic precipitation, and where radar-based QPE are available there are significant biases due to the geometry and constraints of radar operations.  Here, we present a high-resolution (i.e. 250m, 5minute-hourly) QPE dataset for the most extreme (flood-producing) events from 2008 to 2024 for 26 gauged basins (in total 215 events) in the Appalachian mountains constrained to meet basin-scale water budget closure through inverse rainfall-runoff modeling to correct the Next Generation Weather Radar (NEXRAD) Stage IV analysis (4km resolution, hourly) using a fully-distributed uncalibrated hydrological model that leverages recent advances in hydrologic modeling in mountainous regions (e.g. improved river routing and initial soil moisture estimation) (Liao and Barros, 2024a and 2024b). The corrected Stage IV analysis is referred to as StageIV-IRC (Inverse Rainfall Correction).  Previously, a subset of this dataset informed the construction of a generalized QPE error model (Liao and Barros, 2023), supporting the development of water budget closure constrained QPE and providing physics insights into orographic QPE uncertainties for various radar-based products at high resolution in complex terrain. The unique advantage of the StageIV-IRC QPE is that it achieves water budget closure at the storm-flood event scale within observational uncertainty of streamflow observations, that is the golden standard in hydrological modeling.  The QPE dataset is publicly available at:  https://doi.org/10.5281/zenodo.14028867
DOI: 10.13130/rd_unimi/yx1dhd
title: FISH-AI_Dataverse Guidelines

description: This dataset gathers a brief user guide, to easily access and explore the Fish-AI project dataverse
DOI: 10.13130/rd_unimi/yx1dhd/wvsxqm
title: FISH-AI_How to explore dataverse.pdf
DOI: 10.13130/rd_unimi/thptgu
title: Fish-AI_WP4_D4.2_1.Hydrogel development

description: This dataset collects the experimental design, the raw and processed data and the results regarding the hydrogel development
DOI: 10.5281/zenodo.14028866
title: StageIV-IRC – A High-resolution Dataset of Extreme Orographic Quantitative Precipitation Estimates (QPE) Constrained to Water Budget Closure for Historical Floods in the Appalachian Mountains

description: Quantitative Flood Estimation (QFE) in complex terrain remains a grand challenge in operational hydrology due to the lack of accurate high-resolution Quantitative Precipitation Estimates (QPE) at spatial and temporal resolutions needed to capture the variability of orographic precipitation, and where radar-based QPE are available there are significant biases due to the geometry and constraints of radar operations.  Here, we present a high-resolution (i.e. 250m, 5minute-hourly) QPE dataset for the most extreme (flood-producing) events from 2008 to 2024 for 26 gauged basins (in total 215 events) in the Appalachian mountains constrained to meet basin-scale water budget closure through inverse rainfall-runoff modeling to correct the Next Generation Weather Radar (NEXRAD) Stage IV analysis (4km resolution, hourly) using a fully-distributed uncalibrated hydrological model that leverages recent advances in hydrologic modeling in mountainous regions (e.g. improved river routing and initial soil moisture estimation) (Liao and Barros, 2024a and 2024b). The corrected Stage IV analysis is referred to as StageIV-IRC (Inverse Rainfall Correction).  Previously, a subset of this dataset informed the construction of a generalized QPE error model (Liao and Barros, 2023), supporting the development of water budget closure constrained QPE and providing physics insights into orographic QPE uncertainties for various radar-based products at high resolution in complex terrain. The unique advantage of the StageIV-IRC QPE is that it achieves water budget closure at the storm-flood event scale within observational uncertainty of streamflow observations, that is the golden standard in hydrological modeling.  The QPE dataset is publicly available at:  https://doi.org/10.5281/zenodo.14028867
DOI: 10.13130/rd_unimi/thptgu/x7tihb
title: FISH-AI_WP4_D4.2_experimental_plan2.docx
DOI: 10.13130/rd_unimi/thptgu/hdn4bx
title: FISH-AI_WP4_D4.2_results4.pptx
DOI: 10.13130/rd_unimi/thptgu/2svd5i
title: FISH-AI_WP4_D4.2_results2.pptx
DOI: 10.13130/rd_unimi/thptgu/tfk3am
title: FISH-AI_WP4_D4.2_experimental_plan1.docx
DOI: 10.13130/rd_unimi/thptgu/dndgdq
title: FISH-AI_WP4_D4.2_results1.pptx
DOI: 10.13130/rd_unimi/thptgu/xweiiv
title: FISH-AI_WP4_D4.2_results5.pptx
DOI: 10.13130/rd_unimi/thptgu/ejm2gb
title: FISH-AI_WP4_D4.2.1_porogen_poresize_processed.opju
DOI: 10.13130/rd_unimi/thptgu/u1d0be
title: FISH-AI_WP4_D4.2_results3.pdf
DOI: 10.13130/rd_unimi/thptgu/hhm2x3
title: FISH-AI_WP4_D4.2_results6.pptx
DOI: 10.13130/rd_unimi/thptgu/9ruhvw
title: FISH-AI_WP4_D4.2.1_characterization_sheet_processed.tab
DOI: 10.13130/rd_unimi/ouuea2
title: Fish-AI_WP4_D4.2_2.Permeability assays of large and small compounds through hydrogel films

description: This dataset gathers the experimental design, the raw and processed data and the results regarding the permeability assay of large and small compounds through hydrogel films
DOI: 10.13130/rd_unimi/ouuea2/dlwdlp
title: FISH-AI_WP4_D4.2_results3.pdf
DOI: 10.13130/rd_unimi/ouuea2/xet9kr
title: FISH-AI_WP4_D4.2_results2.pptx
DOI: 10.13130/rd_unimi/ouuea2/k79p7v
title: FISH-AI_WP4_D4.2_experimental_plan2.docx
DOI: 10.13130/rd_unimi/ouuea2/rvii7s
title: FISH-AI_WP4_D4.2.2_permeability_processed3.tab
DOI: 10.13130/rd_unimi/ouuea2/guoslh
title: FISH-AI_WP4_D4.2_results6.pptx
DOI: 10.15468/dl.fxsp4v
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chlanidophora patagiata"
 ]
}

 The dataset includes 64 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039616-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/ouuea2/luolqn
title: FISH-AI_WP4_D4.2.2_permeability_processed2.opj
DOI: 10.13130/rd_unimi/ouuea2/lbobgp
title: FISH-AI_WP4_D4.2_results1.pptx
DOI: 10.13130/rd_unimi/ouuea2/xtmdxc
title: FISH-AI_WP4_D4.2_experimental_plan1.docx
DOI: 10.13130/rd_unimi/ouuea2/6me0yf
title: FISH-AI_WP4_D4.2.2_permeability_processed5.opju
DOI: 10.13130/rd_unimi/ouuea2/6jljei
title: FISH-AI_WP4_D4.2_results4.pptx
DOI: 10.13130/rd_unimi/ouuea2/l2rih4
title: FISH-AI_WP4_D4.2.2_permeability_processed4.opj
DOI: 10.5281/zenodo.17633792
title: AegeaNET Syros AIS Dataset for Vessel Traffic Monitoring

description: The Automatic Identification System (AIS) is a collaborative monitoring system designed for collision avoidance in maritime navigation. Originally designed for larger vessels, it is now used by different types of vehicles, from tankers to fishing boats and pleasure crafts. Essentially AIS works on the principle that vessels regularly transmit their current position, along with other characteristics like speed-over-ground, heading and a unique identifier. The abundance of AIS messages have allowed for Geographic Information System (GIS) applications and trajectory analytics to model and describe vessel traffic, extract useful patterns and provide predictions on future trends.

 

To that end, the AegeaNET is an open sensor network composed of AIS and ADS-B receivers, strategically deployed throughout the Aegean Sea. AegeaNET is an academic initiative by the Intelligent Transportation Systems Lab (ITS Lab) of the University of the Aegean (Greece). This network facilitates real-time tracking of maritime activity, providing critical data essential for navigation and safety. 

 

We present a publicly accessible dataset originating from a receiver on the island of Syros, covering a large area in the middle of the Aegean sea, including most of the Cyclades. The duration of the dataset is a full three (3) month period, from July to September 2024. The positional messages of all vessels are included in a single AIS file, sorted in ascending order using their respective timestamp. An initial cleaning was performed to remove messages with erroneous or missing critical fields. Finally, for the purpose of anonymity, a masking mechanism was applied on top of the vessel identification field (MMSI).
DOI: 10.13130/rd_unimi/ouuea2/ccri0n
title: FISH-AI_WP4_D4.2.2_permeability_processed1.tab
DOI: 10.13130/rd_unimi/ouuea2/qglxdu
title: FISH-AI_WP4_D4.2_results5.pptx
DOI: 10.13130/rd_unimi/ymn1uz
title: Fish-AI_WP4_D4.2_3.Mechanical properties of hydrogels

description: This dataset collects all the experimental design, the raw and processed data, and the results regarding the mechanical properties of hydrogels
DOI: 10.13130/rd_unimi/ymn1uz/2panos
title: FISH-AI_WP4_D4.2.3_mechanical_properties_processed.opju
DOI: 10.13130/rd_unimi/ymn1uz/pvjyvl
title: FISH-AI_WP4_D4.2_experimental_plan2.docx
DOI: 10.13130/rd_unimi/ymn1uz/b0pbwp
title: FISH-AI_WP4_D4.2_experimental_plan1.docx
DOI: 10.13130/rd_unimi/ymn1uz/k9rjoh
title: FISH-AI_WP4_D4.2_results5.pptx
DOI: 10.13130/rd_unimi/ymn1uz/olpag2
title: FISH-AI_WP4_D4.2_results2.pptx
DOI: 10.13130/rd_unimi/ymn1uz/qlzlt6
title: FISH-AI_WP4_D4.2_results3.pdf
DOI: 10.13130/rd_unimi/ymn1uz/0cmjf7
title: FISH-AI_WP4_D4.2_results4.pptx
DOI: 10.13130/rd_unimi/ymn1uz/rn3pyp
title: FISH-AI_WP4_D4.2_results6.pptx
DOI: 10.13130/rd_unimi/ymn1uz/htxaqn
title: FISH-AI_WP4_D4.2_results1.pptx
DOI: 10.13130/rd_unimi/qitirh
title: Fish-AI_WP4_D4.2_4.Processing and application of hydrogels

description: This dataset collects the files related to the processing and application of hydrogels
DOI: 10.13130/rd_unimi/qitirh/ctorsw
title: FISH-AI_WP4_D4.2.2_permeability_processed1.tab