cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18267789
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: 10.5281/zenodo.17570823
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: 10.5281/zenodo.18267974
title: Single Bouts and 8-Weeks of Resistance Training Drives Different a Lactate-Butyrate-Dopamine Axis Linking Gut Microbiota to Reward and Neuroplasticity

description: This repository provides the dataset supporting the study “Single-Bout and 8-Weeks of Resistance Training Drive a Distinct Lactate–Butyrate–Dopamine Axis Linking Gut Microbiota to Reward and Neuroplasticity.” The dataset captures molecular, microbial, and metabolite readouts collected following (i) an acute single bout and (ii) an 8-week resistance training intervention, enabling reproducible analyses of how training duration differentially relates to the proposed lactate–butyrate–dopamine axis.

The package includes: (1) sample metadata (group allocation, timepoints, biological material/tissue, and relevant experimental descriptors), (2) gut microbiota data (processed feature/abundance tables and taxonomic assignments, with accompanying diversity metrics and/or differential abundance outputs where applicable), (3) metabolite measurements for lactate and butyrate per sample, and (4) qPCR data for the following targets: B-AR, BDNF, D1R, FFAR3, 5-HT2A, and MCT1, provided both as raw Ct values and as processed outputs (e.g., ΔCt/ΔΔCt and/or fold-change, depending on the workflow). Where included, analysis scripts and session/version information are provided to document processing steps and improve computational reproducibility.
DOI: 10.5281/zenodo.18267975
title: Single Bouts and 8-Weeks of Resistance Training Drives Different a Lactate-Butyrate-Dopamine Axis Linking Gut Microbiota to Reward and Neuroplasticity

description: This repository provides the dataset supporting the study “Single-Bout and 8-Weeks of Resistance Training Drive a Distinct Lactate–Butyrate–Dopamine Axis Linking Gut Microbiota to Reward and Neuroplasticity.” The dataset captures molecular, microbial, and metabolite readouts collected following (i) an acute single bout and (ii) an 8-week resistance training intervention, enabling reproducible analyses of how training duration differentially relates to the proposed lactate–butyrate–dopamine axis.

The package includes: (1) sample metadata (group allocation, timepoints, biological material/tissue, and relevant experimental descriptors), (2) gut microbiota data (processed feature/abundance tables and taxonomic assignments, with accompanying diversity metrics and/or differential abundance outputs where applicable), (3) metabolite measurements for lactate and butyrate per sample, and (4) qPCR data for the following targets: B-AR, BDNF, D1R, FFAR3, 5-HT2A, and MCT1, provided both as raw Ct values and as processed outputs (e.g., ΔCt/ΔΔCt and/or fold-change, depending on the workflow). Where included, analysis scripts and session/version information are provided to document processing steps and improve computational reproducibility.
DOI: 10.15468/dl.zty7kx
title: Occurrence Download

description: A dataset containing 16105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Plantago lanceolata L., Poa pratensis L., Potentilla reptans L., Ranunculus acris L., Rumex conglomeratus Murray, Acer pseudoplatanus L., Brachypodium sylvaticum (Huds.) P.Beauv., Fraxinus excelsior L., Galium odoratum (L.) Scop., Geum urbanum L., Carex elata All., Lysimachia vulgaris L., Phragmites australis (Cav.) Trin. ex Steud., Scutellaria galericulata L., Aira caryophyllea L., Arrhenatherum elatius (L.) P.Beauv. ex J.Presl & C.Presl, Artemisia vulgaris L., Carlina vulgaris L., Centaurea scabiosa L., Bromopsis ramosa (Huds.) Holub, Mercurialis perennis L., Agrostis capillaris L., Cota tinctoria (L.) J.Gay, Centaurea nigra L., Dactylis glomerata L., Alnus glutinosa (L.) Gaertn., Carex acutiformis Ehrh., Thelypteris palustris Schott, Carex elongata L., Dryopteris carthusiana (Vill.) H.P.Fuchs, Festuca rubra L., Lolium perenne L., Anemone nemorosa L., Angelica sylvestris L., Bromopsis benekenii (Lange) Holub, Cirsium oleraceum (L.) Scop., Cardamine amara L., Poa trivialis L., Ulmus glabra Huds.)",
 "Year is one of (2022, 2023, 2024, 2025)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((11.63457 55.75194, 11.43749 55.74948, 11.24687 55.67895, 11.24203 55.52427, 11.38463 55.40069, 11.52271 55.34833, 11.75924 55.32833, 11.88925 55.34459, 11.97976 55.37464, 11.92612 55.45043, 11.97994 55.46411, 12.03597 55.47894, 12.1396 55.50746, 12.124 55.57422, 12.0951 55.63274, 11.9981 55.74192, 11.96039 55.80175, 11.81254 55.80394, 11.69584 55.78257, 11.63457 55.75194))"
 ]
}

 The dataset includes 16105 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013998-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p939t
title: Occurrence Download

description: A dataset containing 73681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens glandulifera",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 73681 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013975-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18268091
title: SGUFT Thermo Consistency V9 (TH1): Horizon Thermodynamics & GSL-Proxy Closure (RUN_G_GRDEMO_0001_TH1)

description: This record provides a DOI-only, auditable evidence pack for SGUFT thermodynamic consistency check TH1 (G2 minimal thermo gate).The check is built on the FRW(k=0) apparent-horizon thermodynamic objects (radius/area/temperature proxies) and a conservative effective Planck-mass proxy reconstructed from V8 GWproxy-T1 αMproxy(a)\alpha_M^{proxy}(a)αMproxy(a).PASS/FAIL depends solely on frozen, derivative-free (or discrete monotonic) maxima with SHA256-manifest audit closure:





Thermodynamic GR-limit residual rS(a)r_S(a)rS(a) between normalized entropy proxies SeffS_{eff}Seff and SGRS_{GR}SGR




GSL-proxy monotonicity violation rmonor_{mono}rmono on the entropy proxy along the a-grid




Drift bound max⁡∣M∗2(a)−1∣\max|M_*^2(a)-1|max∣M∗2(a)−1∣ from the reconstructed M∗2(a)M_*^2(a)M∗2(a)



All required artifacts are included, with manifest_sha256.json, audit.json, and a hard-fail hashlink bridge (ref_bridge_v8.json) plus a rebuild script for reproducibility.
DOI: 10.5281/zenodo.18268092
title: SGUFT Thermo Consistency V9 (TH1): Horizon Thermodynamics & GSL-Proxy Closure (RUN_G_GRDEMO_0001_TH1)

description: This record provides a DOI-only, auditable evidence pack for SGUFT thermodynamic consistency check TH1 (G2 minimal thermo gate).The check is built on the FRW(k=0) apparent-horizon thermodynamic objects (radius/area/temperature proxies) and a conservative effective Planck-mass proxy reconstructed from V8 GWproxy-T1 αMproxy(a)\alpha_M^{proxy}(a)αMproxy(a).PASS/FAIL depends solely on frozen, derivative-free (or discrete monotonic) maxima with SHA256-manifest audit closure:





Thermodynamic GR-limit residual rS(a)r_S(a)rS(a) between normalized entropy proxies SeffS_{eff}Seff and SGRS_{GR}SGR




GSL-proxy monotonicity violation rmonor_{mono}rmono on the entropy proxy along the a-grid




Drift bound max⁡∣M∗2(a)−1∣\max|M_*^2(a)-1|max∣M∗2(a)−1∣ from the reconstructed M∗2(a)M_*^2(a)M∗2(a)



All required artifacts are included, with manifest_sha256.json, audit.json, and a hard-fail hashlink bridge (ref_bridge_v8.json) plus a rebuild script for reproducibility.
DOI: 10.15468/dl.yydkyr
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Machilus, Gastrochilus acinacifolius, Neottia longicaulis, Bulbophyllum bomiense, Cleisostoma, Cypripedium tibeticum, Cypripedium subtropicum, Paphiopedilum venustum, Paphiopedilum qingyongii, Paeonia delavayi, Salweenia wardii, Cupressus gigantea, Cupressus torulosa, Dipterocarpus retusus, Pseudotsuga forrestii, Alcimandra cathcartii, Terminalia myriocarpa, Hopea shingkeng, Prunus mira, Malus sikkimensis)",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 },
 "DecimalLongitude is greater than or equal to 89.5",
 "DecimalLongitude is less than or equal to 93",
 "DecimalLatitude is greater than or equal to 29",
 "DecimalLatitude is less than or equal to 31"
 ]
}

 The dataset includes 40 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014000-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebreem
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((115.64234 37.75694,149.35766 37.75694,149.35766 51.24306,115.64234 51.24306,115.64234 37.75694))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ixodes pomerantzevi"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014001-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242626
title: Simulation files for "The Legacy of Policy Inaction in Climate-Growth Models" published in the International Economic Review

description: Simulation files for "The Legacy of Policy Inaction in Climate-Growth Models" published in the International Economic Review.<br><br>To replicate Figures 1–4, Figures A.3–A.4, and Table 2, open the Mathematica notebook and execute the corresponding sections. <br><br>To replicate Figure 5 and Figure A.2, unpack the corresponding ZIP archives and follow the instructions in the accompanying README files to run the MATLAB code. More information on the relaxation algorithm implemented in MATLAB is available at: https://sites.google.com/view/relaxmacro/applications <br><br>To replicate Figure A.1, unpack the corresponding ZIP archive containing the GAMS files. The simulation for Figure A.1 is based on GAMS (version 49.2.0).
DOI: 10.3886/e242626v5
title: Simulation files for "The Legacy of Policy Inaction in Climate-Growth Models" published in the International Economic Review

description: Simulation files for "The Legacy of Policy Inaction in Climate-Growth Models" published in the International Economic Review.<br><br>To replicate Figures 1–4, Figures A.3–A.4, and Table 2, open the Mathematica notebook and execute the corresponding sections. <br><br>To replicate Figure 5 and Figure A.2, unpack the corresponding ZIP archives and follow the instructions in the accompanying README files to run the MATLAB code. More information on the relaxation algorithm implemented in MATLAB is available at: https://sites.google.com/view/relaxmacro/applications <br><br>To replicate Figure A.1, unpack the corresponding ZIP archive containing the GAMS files. The simulation for Figure A.1 is based on GAMS (version 49.2.0).
DOI: 10.15468/dl.26wawq
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persicaria longiseta"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014002-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15847930
title: Dataset for Front-illuminated surface plasmon resonance biosensor for the study of light-responsive proteins and their interactions

description: The dataset provides relevant raw and processed data supporting the manuscript "Front-illuminated surface plasmon resonance biosensor for the study of light-responsive proteins and their interactions".

The manuscript is about the development of a novel front-illuminated surface plasmon resonance (fiSPR) biosensor for real-time and label-free monitoring of interactions involving light-responsive proteins. The developed fiSPR biosensor was applied to study the blue-light responsive transcription factor EL222, from the bacterium Erythrobacter litoralis.

Full context and detailed analysis of the provided raw and processed data can be found in the manuscript.
DOI: 10.5281/zenodo.15847931
title: Dataset for Front-illuminated surface plasmon resonance biosensor for the study of light-responsive proteins and their interactions

description: The dataset provides relevant raw and processed data supporting the manuscript "Front-illuminated surface plasmon resonance biosensor for the study of light-responsive proteins and their interactions".

The manuscript is about the development of a novel front-illuminated surface plasmon resonance (fiSPR) biosensor for real-time and label-free monitoring of interactions involving light-responsive proteins. The developed fiSPR biosensor was applied to study the blue-light responsive transcription factor EL222, from the bacterium Erythrobacter litoralis.

Full context and detailed analysis of the provided raw and processed data can be found in the manuscript.
DOI: 10.15468/dl.n5hcg4
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum maackianum"
 ]
}

 The dataset includes 341 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014003-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arvw3w
title: Occurrence Download

description: A dataset containing 41625 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum lapathifolium"
 ]
}

 The dataset includes 41625 records from 615 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013999-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242626v4
title: Simulation files for "The Legacy of Policy Inaction in Climate-Growth Models" published in the International Economic Review

description: Simulation files for "The Legacy of Policy Inaction in Climate-Growth Models" published in the International Economic Review.<br><br>To replicate Figures 1–4, Figures A3–A4, and Table 2 open and execute the corresponding sections in the provided Mathematica notebook.<br><br>To replicate Figures 5 and A2, unpack the corresponding ZIP archives and follow the instructions provided in the accompanying README files to run the MATLAB code.<br><br>To replicate Figure A1, unpack the corresponding ZIP archive and follow the instructions provided in the accompanying README files to run the GAMS and MATLAB code.
DOI: 10.15468/dl.q77vrc
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasius neglectus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 197 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014004-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54gdas
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasius neglectus",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014005-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7yux5
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasius neglectus",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014006-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18267966
title: Modulation of slow and fast oscillations by direct current stimulation in the cerebral cortex in vitro
DOI: 10.5281/zenodo.18267967
title: Modulation of slow and fast oscillations by direct current stimulation in the cerebral cortex in vitro
DOI: 10.34740/kaggle/dsv/14517283
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.18244789
title: Enhanced calibration algorithm robust to many redundancies and singularities of kinematic model tested on 3[RRPaR] Delta robot

description: Here we present the data associated with our paper "Enhanced calibration algorithm robust to many redundancies and singularities of kinematic model tested on 3[RRPaR] Delta robot":



"desired_poses_mm" contains 160 desired points in the robot workspace. Each row corresponds to the Cartesian coordinates [x, y, z] of one point, expressed in millimeters in the laser tracker coordinate frame {L}. These points form the cuboid with its spatial diagonals (shown in Fig. 10).

"measured_poses_nominal_model_mm" contains the positions of the corner reflector measured by the laser tracker when the robot was commanded to the desired points in "desired_poses_mm" using the nominal (uncalibrated) model. Each row corresponds to the measured Cartesian coordinates [x, y, z], expressed in millimeters in the {L} frame.

"measured_poses_simplified_model_mm" contains the positions of the corner reflector measured by the laser tracker when the robot was commanded to the same desired points using the calibrated simplified model (Section 5.1). Each row corresponds to [x, y, z] coordinates in millimeters in the {L} frame.

"measured_poses_generalized_model_mm" contains the positions of the corner reflector measured by the laser tracker when the robot was commanded to the same desired points using the calibrated generalized model (Section 5.2). Each row corresponds to [x, y, z] coordinates in millimeters in the {L} frame.


 

For each of the three models (nominal, calibrated simplified, and calibrated generalized), the pointwise deviations between the desired and measured positions were computed across all 160 target points. These differences are plotted in Fig. 14.