cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11583/dtu.28553462.v2
title: <b>Labelled AIS Trajectories Near Svalbard for Abnormal Behavior Detection</b>

description: This dataset aims to provide researchers with annotated maritime trajectories to evaluate and compare models for abnormal behavior detection. The lack of annotated datasets for such purposes has made it challenging to quantitatively assess model performance. By providing manually labeled trajectories that showcase abnormal behavior, this dataset addresses this gap.The dataset focuses on the Region of Interest (ROI) in the remote Arctic sea around the archipelago of Svalbard. In January 2022, a submarine cable breach event occurred in this area. During the incident, two ships, MELKART-5 and YAGRY, sailed over the cable multiple times and are considered anomalous. Eleven routes for MELKART-5 are labeled as anomalous, while five are labeled for YAGRY. Additionally, there are 35,055 trajectories with 372 unique vessels.The data contains the trajectories and ship type information, saved in both pickle and JSON formats to avoid compatibility issues with different Python and pickle versions. The files are named as follows:<b>formatted_trajectories.pkl</b><b>formatted_trajectories.json</b>The data is a dictionary with <i>MMSI_Traj_i</i> as the key, and for each key, it contains another dictionary which includes the trajectory and other information:<i>mmsi</i>: the MMSI of the ship<i>track_length</i>: the total number of data points<i>lat</i>: the latitude<i>lon</i>: the longitude<i>speed</i>: the speed over ground (SOG) given in knots<i>course</i>: the course over ground (COG) given in degrees<i>timestamp</i>: the timestamp in UTC for each data point given<i>anomaly_label</i>: if the given trajectory is anomalous or notEach trajectory has been resampled with linear interpolation to a two-minute frequency. Furthermore, each trajectory is more than 10 minutes and less than 12 hours.Additionally, an extra JSON file is provided, which is a dataframe with MMSI and ship type:<b>df_ships.json</b>The AIS data in the Svalbard ROI was accessed through an API from the Norwegian Kystdatahuset.<br><b>Versioning:</b><b>V2</b>: Data sheet now includes reference to article DOI: 10.1016/j.oceaneng.2025.122656.
DOI: 10.11583/dtu.28553462.v3
title: <b>Labelled AIS Trajectories Near Svalbard for Abnormal Behavior Detection</b>

description: This dataset aims to provide researchers with annotated maritime trajectories to evaluate and compare models for abnormal behavior detection. The lack of annotated datasets for such purposes has made it challenging to quantitatively assess model performance. By providing manually labeled trajectories that showcase abnormal behavior, this dataset addresses this gap.The dataset focuses on the Region of Interest (ROI) in the remote Arctic sea around the archipelago of Svalbard. In January 2022, a submarine cable breach event occurred in this area. During the incident, two ships, MELKART-5 and YAGRY, sailed over the cable multiple times and are considered anomalous. Eleven routes for MELKART-5 are labeled as anomalous, while five are labeled for YAGRY. Additionally, there are 35,055 trajectories with 372 unique vessels.The data contains the trajectories and ship type information, saved in both pickle and JSON formats to avoid compatibility issues with different Python and pickle versions. The files are named as follows:<b>formatted_trajectories.pkl</b><b>formatted_trajectories.json</b>The data is a dictionary with <i>MMSI_Traj_i</i> as the key, and for each key, it contains another dictionary which includes the trajectory and other information:<i>mmsi</i>: the MMSI of the ship<i>track_length</i>: the total number of data points<i>lat</i>: the latitude<i>lon</i>: the longitude<i>speed</i>: the speed over ground (SOG) given in knots<i>course</i>: the course over ground (COG) given in degrees<i>timestamp</i>: the timestamp in UTC for each data point given<i>anomaly_label</i>: if the given trajectory is anomalous or notEach trajectory has been resampled with linear interpolation to a two-minute frequency. Furthermore, each trajectory is more than 10 minutes and less than 12 hours.Additionally, an extra JSON file is provided, which is a dataframe with MMSI and ship type:<b>df_ships.json</b>The AIS data in the Svalbard ROI was accessed through an API from the Norwegian Kystdatahuset.<br><b>Versioning:</b><b>V2</b>: Data sheet now includes reference to article DOI: 10.1016/j.oceaneng.2025.122656.<b>V3</b>: Added <i>all</i> author names to datasheet (previously only the first author was listed).
DOI: 10.5065/d6222s49
title: C-130 Cloud Counterflow Virtual Impactor. Version 1.0

description: The DYCOMS-II Aircraft: Cloud Counterflow Virtual Impactor (CVI) dataset is one of several aircraft data sets collected on the C-130 aircraft as part of the Dynamics and Chemistry of Marine Stratocumulus Phase II: Entrainment Studies (DYCOMS-II) project. Cloud droplet number (as number of residual particles after evaporation) and condensed water content measurements were taken using the CVI onboard the NSF/NCAR C-130 from July 13-July 28, 2001. Data are columnar ascii format.
DOI: 10.5281/zenodo.17242667
title: Dataset: From foreshock to mainshock: transient sliding velocity sets nucleation time

description: The dataset for the manuscript entitled, "From foreshock to mainshock: transient sliding velocity sets nucleation time" submitted September 2025.
DOI: 10.5281/zenodo.17234754
title: Dataset_Dark-state entanglement of two atomic ensembles via cavity superradiance

description: This dataset contains the results of a numerical simulation for the article "Dark-state entanglement of two atomic ensembles via cavity superradiance". The simulation is performed using Python with the packages QuTip, NumPy, Matplotlib, and Pandas.
DOI: 10.5281/zenodo.17239436
title: Dataset_Dark-state entanglement of two atomic ensembles via cavity superradiance

description: This dataset contains the results of a numerical simulation for the article "Dark-state entanglement of two atomic ensembles via cavity superradiance". The simulation is performed using Python with the packages QuTip, NumPy, Matplotlib, and Pandas.
DOI: 10.7910/dvn/rwunrr
title: Habitat Tray Data

description: Data collected from habitat trays deployed summer 2025 as part of IRLNEP oyster research project.
DOI: 10.13140/rg.2.2.28088.00000
title: DELIAN RULER AND COMPASS APPROXIMATION BY USE OF THE [STEFANIDES] NAUTILUS SPIRAL CURVE - RELATIONSHIP WITH [Φ]. --- https://lnkd.in/diUDCZC6 -- https://lnkd.in/dW2_xt-c PLATO'S TIMAEUS "MOST BEAUTIFUL TRIANGLE- QUADRATURE TRIANGLE-, AND ITS PARALLEL COUNTERPAR, THE DELIAN ONE- DOUBLING OF THE CUBE. SIMILARITIES EXPOSED
DOI: 10.5065/d6x928pf
title: NSF C-130 Photography Cloud Video. Version 1.0

description: This dataset consists of mpg files from video tape (VHS) from each flight of the NSF/NCAR C-130 aircraft during the Eastern Pacific Investigation of Climate (EPIC). Forward, back and side looking video was taken.
DOI: 10.15468/dl.neqvwv
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriborus vulgaris"
 ]
}

 The dataset includes 47 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036225-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqh465
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephrolepis exaltata",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036223-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2fmq5
title: Occurrence Download

description: A dataset containing 802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((49.13275 -11.43093,43.88213 -15.83365,42.47273 -24.2002,45.3033 -26.25633,47.42982 -25.43061,50.91445 -15.1005,50.11346 -11.54092,49.13275 -11.43093))",
 "TaxonKey is Rattus rattus"
 ]
}

 The dataset includes 802 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036224-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17242879
title: Digital Distance - Data

description: Dataset and do-file used in article "The Trade Effects of Digital Distance: Evidence from a Structural Gravity Model" (Śledziewska, K., Łebkowska, W. (2025))
DOI: 10.15468/dl.a6jran
title: Occurrence Download

description: A dataset containing 5879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((-180 -25,180 -25,180 25,-180 25,-180 -25))",
 "OccurrenceStatus is Present",
 "TaxonKey is Theobroma cacao"
 ]
}

 The dataset includes 5879 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036227-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17242972
title: E-course 131 dataset

description: Dataset: e-course logs; e-course structure; participants' coded data
DOI: 10.5065/d6sj1hzq
title: IDEAS-1: PMS-2D Two-dimensional Cloud Probe data. Version 1.0

description: This dataset contains raw (binary "filmstrip" imagery) files of PMS-2D data collected by the C-130 during the Instrument Development and Education in Airborne Science Phase 1 (IDEAS-1) project which took place from 5 April 2002 to 14 May 2002. These data are in a format compatible with xpms2d, available from the EOL xpms2d download page. Click on "Order" to see a table listing flight dates and times during which data is available.
DOI: 10.7910/dvn/qctmsi
title: Demographics and Commitments of California's Prison Population
title: www.redoio.info

description: Demographics and offenses of California's prison population acquired by Redo.io (www.redoio.info) through public records laws.
DOI: 10.6084/m9.figshare.30256690
title: <b>Real-Time Multi-Mode PHEV Driving and Energy Consumption Dataset</b>

description: The data file contains seven columns of data: Velocity (vehicle speed, in km/h), Batt_SOC (battery state of charge, in %), Ins_FC (instantaneous fuel consumption rate, in L/h), Batt_Cur (battery bus current, in A), Batt_Vol (battery bus voltage, in V), Acc_pedal (accelerator pedal opening, in %), and Brake_pedal (brake pedal opening, in %). The battery current and voltage are used to calculate the battery power, while the remaining variables can be directly used as model inputs or outputs. Each worksheet (sheet) in the file corresponds to an independent test.<br>Sheets named with the prefix "ACC", such as ACC0 to ACC100, represent single acceleration tests conducted with an initial SOC of 30%, where the subsequent number indicates the accelerator pedal opening. In contrast, sheets named Acc5_80 to Acc100-80 correspond to single acceleration tests with an initial SOC of 80%, where the number between "Acc" and "80" denotes the accelerator pedal opening. Braking test data is labeled with the prefix "Brak", such as Brak0 to Brak50, representing single braking events with an initial SOC of 30%, and the trailing number indicates the brake pedal opening. The remaining sheets contain cyclic operation condition data, including four JC08 cycles (JC08_1 to JC08_4), three highway driving cycles (HWY1 to HWY3), three urban dynamometer driving schedules (UDDS1 to UDDS3), and five New European Driving Cycles (NEDC1 to NEDC5). During these cyclic tests, the battery SOC discharges from 100% down to 30%.<br>
DOI: 10.6084/m9.figshare.30256690.v1
title: <b>Real-Time Multi-Mode PHEV Driving and Energy Consumption Dataset</b>

description: The data file contains seven columns of data: Velocity (vehicle speed, in km/h), Batt_SOC (battery state of charge, in %), Ins_FC (instantaneous fuel consumption rate, in L/h), Batt_Cur (battery bus current, in A), Batt_Vol (battery bus voltage, in V), Acc_pedal (accelerator pedal opening, in %), and Brake_pedal (brake pedal opening, in %). The battery current and voltage are used to calculate the battery power, while the remaining variables can be directly used as model inputs or outputs. Each worksheet (sheet) in the file corresponds to an independent test.<br>Sheets named with the prefix "ACC", such as ACC0 to ACC100, represent single acceleration tests conducted with an initial SOC of 30%, where the subsequent number indicates the accelerator pedal opening. In contrast, sheets named Acc5_80 to Acc100-80 correspond to single acceleration tests with an initial SOC of 80%, where the number between "Acc" and "80" denotes the accelerator pedal opening. Braking test data is labeled with the prefix "Brak", such as Brak0 to Brak50, representing single braking events with an initial SOC of 30%, and the trailing number indicates the brake pedal opening. The remaining sheets contain cyclic operation condition data, including four JC08 cycles (JC08_1 to JC08_4), three highway driving cycles (HWY1 to HWY3), three urban dynamometer driving schedules (UDDS1 to UDDS3), and five New European Driving Cycles (NEDC1 to NEDC5). During these cyclic tests, the battery SOC discharges from 100% down to 30%.<br>
DOI: 10.34740/kaggle/dsv/13226758
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.13140/rg.2.1.2689.0561/1
title: Thesis: EVALUATION OF MOLECULAR AND SEROLOGICAL TECHNIQUES FOR DIAGNOSIS OF BORDETELLOSIS IN DOGS
DOI: 10.6084/m9.figshare.29293901.v1
title: Data_Zheng et al_submission_peatlandpocmaoc

description: peatland POC and MAOC
DOI: 10.13140/rg.2.2.11520.49923
title: The Farid Quantum Command Unit (FQCU) The Tanfarid Quantum Theory of Units (TQTU)
DOI: 10.5065/d6ns0s7d
title: NCAR/NSF C-130 Low Rate (1 sps) Navigation, State Parameter, and Microphysics Flight-Level Data. Version 1.0

description: This data set includes airborne measurements obtained from the NSF/NCAR Research Aviation Facility (RAF) C-130Q Hercules aircraft (Tail Number N130AR) during the Instrument Development and Education in Airborne Science Phase 1 (IDEAS-1) project which took place from 5 April 2002 to 14 May 2002. This data set contains the Low-Rate (LRT, 1 Sample Per Second) production data set. The files are in netCDF format.
DOI: 10.7910/dvn/1xche8
title: Sediment Plate Data

description: Mean Sediment Plate Data by site for measurements behind and to the side of artificial and natural oyster reefs in the St. Lucie Estuary and Indian River Lagoon.
DOI: 10.5065/d6j101hc
title: IHOP_2002: NCAR S-Pol radar moments data, DORADE. Version 1.0

description: S-Pol moments data for IHOP_2002. This dataset contain tar files of DORADE format sweepfiles for the IHOP_2002 project. Data size is about 1.5 GB per hour of data. Please keep this in mind as well as your own system limits when ordering data. Consider multiple orders when several days of data are required.
DOI: 10.48597/qty7-ty99
title: Pm10_mass at Churanov

description: Measurement of Pm10_mass at Churanov
DOI: 10.48597/eztn-cyxy
title: Heavy metals at Churanov

description: Measurement of Heavy metals at Churanov
DOI: 10.48597/4veq-7z46
title: Inorganics in precipitation at Churanov

description: Measurement of Inorganics in precipitation at Churanov
DOI: 10.48597/p82z-5ndf
title: Inorganics in air and particle phase at Churanov

description: Measurement of Inorganics in air and particle phase at Churanov
DOI: 10.6084/m9.figshare.29526397
title: Daily intake of live microbes and cognitive function in older adults: the mediating role of mitochondrial dysfunction

description: This study analysed the NHANES (2010-2014) data of 2,312 elderly people to investigate the relationship between dietary intake of live microbes (DLM) and cognitive function and the mediating role of mitochondrial dysfunction between them. Linear regression indicated that the high-DLM group was positively associated with z-score of Digit Symbol Substitution Test (DSST) (β = 0.13, <i>p</i> &lt; 0.05) and global cognitive score (β = 0.37, <i>p</i> &lt; 0.05). Logistic regression showed that high-DLM was a protective factor for cognitive impairment among the elderly (OR = 0.62, <i>p</i> &lt; 0.05). Mediation analysis revealed that circulating methylmalonic acid (MMA) was negatively associated with high-DLM (β = −22.98, <i>p</i> &lt; 0.05) and it exerted a mediating effect on the relationship between the high-DLM group and DSST and global cognitive score, with the mediated proportions of 3.8%, and 4.1%, respectively. Moreover, high-DLM is associated with better cognitive function through its relationship with MMA in older adults.
DOI: 10.6084/m9.figshare.29526397.v1
title: Daily intake of live microbes and cognitive function in older adults: the mediating role of mitochondrial dysfunction

description: This study analysed the NHANES (2010-2014) data of 2,312 elderly people to investigate the relationship between dietary intake of live microbes (DLM) and cognitive function and the mediating role of mitochondrial dysfunction between them. Linear regression indicated that the high-DLM group was positively associated with z-score of Digit Symbol Substitution Test (DSST) (β = 0.13, <i>p</i> &lt; 0.05) and global cognitive score (β = 0.37, <i>p</i> &lt; 0.05). Logistic regression showed that high-DLM was a protective factor for cognitive impairment among the elderly (OR = 0.62, <i>p</i> &lt; 0.05). Mediation analysis revealed that circulating methylmalonic acid (MMA) was negatively associated with high-DLM (β = −22.98, <i>p</i> &lt; 0.05) and it exerted a mediating effect on the relationship between the high-DLM group and DSST and global cognitive score, with the mediated proportions of 3.8%, and 4.1%, respectively. Moreover, high-DLM is associated with better cognitive function through its relationship with MMA in older adults.
DOI: 10.48597/cs5f-g3jz
title: Measurement of Pm10_mass at Churanov

description: Measurement of Pm10_mass at Churanov
DOI: 10.48597/hjkr-ndet
title: Measurement of Heavy metals at Churanov

description: Measurement of Heavy metals at Churanov
DOI: 10.48597/8e2r-f8p6
title: Inorganics in precipitation at TMNT09 Vielsalm

description: Measurement of Inorganics in precipitation at TMNT09 Vielsalm
DOI: 10.15493/saeon.su.10000001
title: Population estimation of a cryptic moss frog using acoustic spatially explicit capture recapture

description: Cryptic amphibians pose a problem for conservation managers as they are difficult to find to assess initial populations, and monitor changes during potentially threatening processes. The rough moss frog, Arthroleptella rugosa, is small and occurs in seepages on a single unprotected mountain in South Africa's fire prone, biodiverse fynbos biome. The area is heavily impacted by invasive plants, which dry seepages and increase the frequency and intensity of fires, leading to the assessment of this species as Critically Endangered. We aimed to test the efficacy of acoustic spatially explicit capture recapture (aSCR) to estimate the entire population of calling adult A. rugosa, and assess the impacts by invasive plants. Using aSCR, our estimates suggest that the population of A. rugosa is more than five times that previously estimated using manual calling surveys on the mountain. This despite an intense fire over the entire area three years earlier that reduced the calling population to a few tens of individuals. Our vegetation surveys suggest that the ongoing removal of invasive species from the mountain is successful in areas occupied by A. rugosa, but that adjacent areas invaded by pines and hakea have a negative impact on calling density. The private public conservancy partnership on Klein Swartberg Mountain, is conserving this frog but will require ongoing management and monitoring to ensure conservation in the future
DOI: 10.48597/7jnm-5su8
title: Measurement of Inorganics in air and particle phase at Churanov

description: Measurement of Inorganics in air and particle phase at Churanov
DOI: 10.48597/jsfk-gamn
title: Measurement of Inorganics in precipitation at TMNT09 Vielsalm

description: Measurement of Inorganics in precipitation at TMNT09 Vielsalm
DOI: 10.48597/ypgm-c5g6
title: Measurement of Inorganics in precipitation at Churanov

description: Measurement of Inorganics in precipitation at Churanov
DOI: 10.6084/m9.figshare.30256980.v1
title: Machine learning approach integrated with finite element modelling, and experimentation for optimizing the forming accuracy of U-shaped thin-walled tubes manufactured by free bending forming technology

description: This study proposed a robust framework that integrates machine learning (ML), finite element (FE) modelling and experimental validation to optimize the free bending forming (FBF) process for manufacturing U-shaped thin-walled metallic tubes. Firstly, a theoretical analysis of the relationship between guide mechanism displacement and bending radius was established. Subsequently, an ML approach-based back-propagation artificial neural network (BP-ANN) model was developed to predict the optimal bending radius (R) and angle (<i>θ</i>) values. The predicted results were verified through FE modelling and experimental trials. The results revealed a high forming accuracy for bending radii up to 99.01% and angles up to 99.59% across varying materials and thicknesses. The obtained results are attributed to the comprehensive selection of training data and the optimization of neural network hyperparameters. The proposed framework demonstrates a reliable and data-driven approach for enhancing precision and efficiency in the FBF process, offering valuable insights for advanced tube-forming applications.
DOI: 10.48597/eyp8-7svp
title: Measurement of Heavy metals at Churanov

description: Measurement of Heavy metals at Churanov
DOI: 10.6084/m9.figshare.30256980
title: Machine learning approach integrated with finite element modelling, and experimentation for optimizing the forming accuracy of U-shaped thin-walled tubes manufactured by free bending forming technology

description: This study proposed a robust framework that integrates machine learning (ML), finite element (FE) modelling and experimental validation to optimize the free bending forming (FBF) process for manufacturing U-shaped thin-walled metallic tubes. Firstly, a theoretical analysis of the relationship between guide mechanism displacement and bending radius was established. Subsequently, an ML approach-based back-propagation artificial neural network (BP-ANN) model was developed to predict the optimal bending radius (R) and angle (<i>θ</i>) values. The predicted results were verified through FE modelling and experimental trials. The results revealed a high forming accuracy for bending radii up to 99.01% and angles up to 99.59% across varying materials and thicknesses. The obtained results are attributed to the comprehensive selection of training data and the optimization of neural network hyperparameters. The proposed framework demonstrates a reliable and data-driven approach for enhancing precision and efficiency in the FBF process, offering valuable insights for advanced tube-forming applications.
DOI: 10.48597/5762-m5vf
title: Measurement of Inorganics in air and particle phase at TMNT09 Vielsalm

description: Measurement of Inorganics in air and particle phase at TMNT09 Vielsalm
DOI: 10.48597/mk9v-4eem
title: Inorganics in precipitation at TMNT09 Vielsalm

description: Measurement of Inorganics in precipitation at TMNT09 Vielsalm
DOI: 10.7910/dvn/cjdjmj
title: Replication Data for: Democratic Backsliding and Endogenous Polarization

description: Replication data for "Democratic Backsliding and Endogenous Polarization"