cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15633873
title: Localisation area and envelopes surfaces for generating the vertical grid of GOSI10p3-eORCA12

description: Ancillary files needed to generate the vertical grid of GOSI10p3.0-eORCA12, the eddy rich UK global ocean and sea-ice configuration jointly developed by the Met Office and the National Oceanography Centre under the Joint Marine Modelling Program which employes quasi-Eulerian localised multi-envelope (ME) s-coordinates in the proximity of the Nordic overflows area while it uses z* coordinates with partial steps elsewhere in the domain. 

The following files are included in this zenodo archive:



bathymetry.loc_area-nord_ovf_12.dep2930_sig2_stn9_itr4.nc: file including the model bathymetry and the localization mask.

bathymetry.loc_area-nord_ovf_12.dep2930_sig2_stn9_itr4.MEs_novf_gosi10_12_4env_2930_r12_r16-r075-r040-r035-r030-r025-r020-r015_itr3-r010.nc: file including the model bathymetry and the four envelopes used to define the localized ME s-coordinate system.

maximum_hpge*: files including the maximum spurious currents after 3 months long HPG tests. These files are used to smooth the envelopes and reduce the local HPG errors to an acceptable level (see Bruciaferri et al. 2024 for the details).

hpge_timeseries_r12_r16-r075-r040-r035-r030-r025-r020-r015_itr3-r010.nc: three months long timeseries of the maximum HPG error associated with the localised ME grid of GOSI10p3.0-eORCA12.


The code to generate these files can be found at https://github.com/JMMP-Group/GO-novf .
DOI: 10.5281/zenodo.15633874
title: Localisation area and envelopes surfaces for generating the vertical grid of GOSI10p3-eORCA12

description: Ancillary files needed to generate the vertical grid of GOSI10p3.0-eORCA12, the eddy rich UK global ocean and sea-ice configuration jointly developed by the Met Office and the National Oceanography Centre under the Joint Marine Modelling Program which employes quasi-Eulerian localised multi-envelope (ME) s-coordinates in the proximity of the Nordic overflows area while it uses z* coordinates with partial steps elsewhere in the domain. 

The following files are included in this zenodo archive:



bathymetry.loc_area-nord_ovf_12.dep2930_sig2_stn9_itr4.nc: file including the model bathymetry and the localization mask.

bathymetry.loc_area-nord_ovf_12.dep2930_sig2_stn9_itr4.MEs_novf_gosi10_12_4env_2930_r12_r16-r075-r040-r035-r030-r025-r020-r015_itr3-r010.nc: file including the model bathymetry and the four envelopes used to define the localized ME s-coordinate system.

maximum_hpge*: files including the maximum spurious currents after 3 months long HPG tests. These files are used to smooth the envelopes and reduce the local HPG errors to an acceptable level (see Bruciaferri et al. 2024 for the details).

hpge_timeseries_r12_r16-r075-r040-r035-r030-r025-r020-r015_itr3-r010.nc: three months long timeseries of the maximum HPG error associated with the localised ME grid of GOSI10p3.0-eORCA12.


The code to generate these files can be found at https://github.com/JMMP-Group/GO-novf .
DOI: 10.15468/dl.3kw76t
title: Occurrence Download

description: A dataset listing the 17419 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Material citation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "Country is Cuba",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 17419 records were derived from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416213-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cns6t8
title: Occurrence Download

description: A dataset listing the 163 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Locality is PNN Sumapaz--Laguna Chisacá"
 ]
}

 The dataset's 163 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238767-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2eu5u
title: Occurrence Download

description: A dataset containing 2303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-125.02202 34.59919,-124.02561 31.40102,-111.26562 33.91325,-117.40476 41.50474,-116.22741 47.49505,-122.124 48.74984,-126.90173 42.71738,-125.02202 34.59919))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus balfouriana Balf."
 ]
}

 The dataset includes 2303 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138523-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjes6s
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microgobius cyclolepis Gilbert, 1890"
 ]
}

 The dataset includes 34 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037241-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7wshj
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycopodiopsida",
 "HasCoordinate is true",
 "Country is one of (Slovakia)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 47 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238799-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v54nt2
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum phalarocephalum G.E.Haglund"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007866-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vitvsb
title: Occurrence Download

description: A dataset containing 625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fungi",
 "DecimalLatitude is greater than 31.7212066021528",
 "DecimalLatitude is less than 32.3450468668822",
 "DecimalLongitude is greater than -81.3218949755758",
 "DecimalLongitude is less than -80.5627491318656"
 ]
}

 The dataset includes 625 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006183-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9fj6r8
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemigrammus pulcher Ladiges, 1938"
 ]
}

 The dataset includes 110 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0313163-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48sytf
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Specklinia lentiginosa (F.Lehm. & Kraenzl.) Pridgeon & M.W.Chase"
 ]
}

 The dataset includes 41 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138524-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up7en9
title: Occurrence Download

description: A dataset containing 1942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-80.65201 28.04098,-80.54947 27.8582,-80.53665 27.73182,-80.35262 27.73182,-80.53299 28.13305,-80.61187 28.42042,-80.77835 28.42975,-80.65201 28.04098))",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Month is January",
 "Month is February",
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September",
 "Month is October",
 "Month is November",
 "Month is December"
 ]
 },
 "TaxonKey is Trichechus manatus latirostris (Harlan, 1824)",
 "Year 2002-2022"
 ]
}

 The dataset includes 1942 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238763-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcn4sh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muscarella kennedyi (Luer) Luer"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138520-230530130749713/datasets/export for details.
DOI: 10.15468/dl.yq6st3
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Telipogon embreei N.H.Williams & Dressler"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010349-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.135403
title: Ostracon hiératique Ifao - ODM 10315_nu_2012_09244

description: Référence : nu_2012_09244<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.2w8szx
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syncolostemon teucriifolius (Hochst.) D.F.Otieno"
 ]
}

 The dataset includes 94 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003515-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.135404
title: Ostracon hiératique Ifao - ODM 10315_nu_2012_09245

description: Référence : nu_2012_09245<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.bmjx5m
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.13223 25.07247,-79.53416 25.07247,-79.53416 26.70284,-82.13223 26.70284,-82.13223 25.07247))",
 "OccurrenceStatus is Present",
 "TaxonKey is Esociformes"
 ]
}

 The dataset includes 86 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200250-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.135405
title: Ostracon hiératique Ifao - ODM 10316_nb_1999_01264

description: Référence : nb_1999_01264<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.15468/dl.k96pwr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum pervalidum Rail."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007861-230810091245214/datasets/export for details.
DOI: 10.34816/ifao.archives.135406
title: Ostracon hiératique Ifao - ODM 10316_nb_1999_01265

description: Référence : nb_1999_01265<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.15468/dl.dpjuvd
title: Occurrence Download

description: A dataset containing 12265 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is The Taiwan Breeding Bird Survey Data",
 "DatasetKey is Historical Bird Atlas",
 "DatasetKey is First Bird Atlas",
 "DatasetKey is NSW BioNet Atlas",
 "DatasetKey is Taiwan Wild Bird Federation Bird Records Database",
 "DatasetKey is BirdLife Australia, Birdata",
 "DatasetKey is WildNet - Queensland Wildlife Data"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chalcophaps indica (Linnaeus, 1758)"
 ]
}

 The dataset includes 12265 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295485-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.135407
title: Ostracon hiératique Ifao - ODM 10316_nb_1999_01266

description: Référence : nb_1999_01266<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.15468/dl.bn6ema
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strabopidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013244-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjuvx7
title: Occurrence Download

description: A dataset containing 4646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "TaxonKey is Cosmibuena valerii (Standl.) C.M.Taylor",
 "TaxonKey is Hillia valerii Standl.",
 "TaxonKey is Cosmibuena matudae (Standl.) L.O.Williams",
 "TaxonKey is Cosmibuena macrocarpa (Benth.) Klotzsch ex Walp.",
 "TaxonKey is Cosmibuena grandiflora (Ruiz & Pav.) Rusby",
 "TaxonKey is Balmea stormae Martínez",
 "TaxonKey is Hillia ulei K.Krause",
 "TaxonKey is Hillia tetrandra Sw.",
 "TaxonKey is Hillia palmana Standl.",
 "TaxonKey is Hillia maxonii Standl.",
 "TaxonKey is Hillia loranthoides Standl.",
 "TaxonKey is Hillia foldatsii Steyerm.",
 "TaxonKey is Hillia illustris (Vell.) K.Schum.",
 "TaxonKey is Hillia grayumii C.M.Taylor",
 "TaxonKey is Hillia longifilamentosa (Steyerm.) C.M.Taylor",
 "TaxonKey is Hillia triflora var. pittieri (Standl.) C.M.Taylor",
 "TaxonKey is Hillia allenii C.M.Taylor",
 "TaxonKey is Hillia triflora (Oerst.) C.M.Taylor",
 "TaxonKey is Hillia triflora var. triflora",
 "TaxonKey is Hillia macbridei Standl.",
 "TaxonKey is Hillia bonoi Steyerm.",
 "TaxonKey is Hillia wurdackii Steyerm.",
 "TaxonKey is Hillia macrophylla Standl.",
 "TaxonKey is Hillia killipii Standl.",
 "TaxonKey is Hillia pumila C.M.Taylor",
 "TaxonKey is Hillia parasitica Jacq."
 ]
 },
 "Year 1000-2022"
 ]
}

 The dataset includes 4646 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295504-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvpjdr
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "TaxonKey is Eschweilera punctata S.A.Mori"
 ]
}

 The dataset includes 106 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012973-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.135408
title: Ostracon hiératique Ifao - ODM 10316_nb_1999_01267

description: Référence : nb_1999_01267<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.135409
title: Ostracon hiératique Ifao - ODM 10317_nu_2012_09242

description: Référence : nu_2012_09242<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.135410
title: Ostracon hiératique Ifao - ODM 10318_nu_2012_10948

description: Référence : nu_2012_10948<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.7284/159164
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise TN429 using a Hawaii UHDAS instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.34816/ifao.archives.135411
title: Ostracon hiératique Ifao - ODM 10319_nu_2009_06024

description: Référence : nu_2009_06024<br />Site : Deir el-Médina<br />Secteur : Kôm sud<br />Type : photographie<br />
DOI: 10.7284/159177
title: Anemometer data collected during research cruise TN429 using a RMYoung 06206 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.34816/ifao.archives.135412
title: Ostracon hiératique Ifao - ODM 10319_nu_2009_06025

description: Référence : nu_2009_06025<br />Site : Deir el-Médina<br />Secteur : Kôm sud<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.135413
title: Ostracon hiératique Ifao - ODM 10320_nb_2001_02234

description: Référence : nb_2001_02234<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.135414
title: Ostracon hiératique Ifao - ODM 10321_nu_2012_10934

description: Référence : nu_2012_10934<br />Site : Deir el-Médina<br />Secteur : Gournet Mouraï<br />Type : photographie<br />
DOI: 10.15468/dl.cwp2vu
title: Occurrence Download

description: A dataset listing the 3404923 species recorded in GBIF matching the query:
{ }

 The dataset's 3404923 records were derived from 39903 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088502-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.wijgdx
title: Monitoring Coastal Water Turbidity Using Sentinel2—A Case Study in Los Angeles

description: Los Angeles coastal waters are an ecologically important marine habitat and a famed recreational area for tourists. Constant surveillance is essential to ensure compliance with established health standards and to address the persistent water quality challenges in the region. Remotely sensed datasets are increasingly being applied toward improved detection of water quality by augmenting monitoring programs with spatially intensive and accessible data. This study evaluates the potential of satellite remote sensing to augment traditional monitoring by analyzing the relationship between in situ and satellite-derived turbidity data. Field measurements were performed from July 2021 to March 2024 to build synchronous matchup datasets consisting of satellite and field data. Correlation analysis indicated a positive relationship between satellite-derived and field-measured turbidity (R2 = 0.451). Machine learning models were assessed for predictive accuracy, with the random forest model achieving the highest performance (R2 = 0.632), indicating its robustness in modeling complex turbidity patterns. Seasonal trends revealed higher turbidity during wet months, likely due to stormwater runoff from the Ballona Creek watershed. Despite limitations from cloud cover and spatial resolution, the findings suggest that integrating satellite data with machine learning can enhance large-scale, efficient turbidity monitoring in coastal waters.
DOI: 10.5281/zenodo.14638256
title: Data and code for "Machine Learning-Based Model for Behavioral Analysis in Rodents: Application to the Forced Swim Test"

description: Code and dataset for the article "Machine Learning-Based Model for Behavioral Analysis in Rodents: Application to the Forced Swim Test".

Andrea Della Valle1,2, Sara De Carlo1, Sofia De Cillis1, Gregorio Sonsini1, Sebastiano Pilati3,4, Andrea Perali2, Massimo Ubaldi1, Roberto Ciccocioppo1

1 School of Pharmacy, Center of Neuroscience, Pharmacology Unit, University of Camerino, Camerino, Italy

2 School of Pharmacy, Physics Unit, Pharmacology Unit, University of Camerino, Camerino, Italy

3 School of Science and Technology, Physics Division, University of Camerino, Camerino, Italy

4 INFN-Sezione di Perugia, 06123 Perugia, Italy

 
description: Code and dataset for paper "Machine Learning-Based Model for Behavioral Analysis in Rodents: Application to the Forced Swim Test"

 

The deep neural network model was trained to predict rodent behavior in the Forced Swim Test (FST).

The videos were divided into a sequence of 3-second subvideos, and encoded into a three-dimensional tensor, which the model elaborate to classsify the main behavior.

The model architecture is a 3D residual convolutional neural network.

After training, the trained model was validated on two separated antidepresant drug experiments.

Only the first one was manually scored to evaluate the performance of the trained model. 

In both cases the model was able to distinguish the effect of the different drugs by evaluating their effects on the behvior of the animals.

 

-------------

 

Directory organization:

- ML_FST:

     - Prerdictor:

          - main.py : program to score videos by using the trained model. It requires to define the ROI

     - src:

          - Predicotrs.py : functions to EVALUATE output of trained model

          - functionsDatagenerator.py : function to transform the frame into a slice of the final 3D tensor

          - Trained Models : Repository of the deep neaural networks trained's weights

     - TrainGPU/mod3D:

          - Dataloader.py : teensorflow dataloader class to feed the model

          - Model.py : model achitectures

          - srcFunctions.py : functions used in Train.py

          - Train.py : main program to train the model

- DatasetNPY

     - train/val: dataset used to train the model already split into train and validation

          - climbing

          - diving

          - immobility

          - swimming

     - Exp1 : first antidepressant drug experiment, manually scored for comparison

          - Rat1 ... : each folder contains the 100 3D tensors spanning the 5' video

          - scoring.json : drug treatment, and corresponding behavior manually scored for each animal

     - Exp2 : second antidepressant drug ecperiment, NOT manually scored

          - Rat1 ... : each folder contains the 100 3D tensors spanning the 5' video

          - scoring.json : drug treatment for each animal

- Video - VideosExample: trail video used as example in Prerdictor/main.py