cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17948345
title: Microscopic Vehicle Trajectories from Heterogeneous and Area-Based Traffic
title: Traffic Data from Developing Countries

description: Version "DEL 4" pertains to the near-free flow regime of traffic, comprising over 500,000 data points with a higher share of motorised two-wheelers as compared with the previous versions. 

The Microscopic Vehicle Trajectory (MVT) data are from an urban midblock location in the National Capital Region of India, featuring highly heterogeneous and area-based traffic (weak lane-based/non-lane-based/disordered traffic, as you prefer to call it :D ^-^).

The traffic was captured from a fixed height above the road surface (150 meters) using a UAV (drone), covering a road stretch of nearly 180 meters in both directions. DEL 4 version of the data is provided here, capturing traffic for over one hour and encompassing a near-free-flow traffic state. The fundamental diagrams (FDs) are attached. As per the notation in the FDs, "DEL 4" version of the dataset is being released. In the near future, other datasets illustrated in the FDs will also be made openly available.

Note: The densities are expressed in terms of the full carriageway width, as the traffic is area-based. Using lane-based densities during analysis would misrepresent the effect of lateral interactions.

The MVTs are exported at a temporal resolution of 0.1 seconds.The coordinates are calibrated in relation to the local coordinate system.The dataset is in CSV format, with semicolons (;) as separators, and contains over half a million unique data points across all rows. 

Note: The MVT data has been extracted using the Data from Sky software, and the veracity of the output has already been checked in another study."Ali, Y., Krishnan, K.N., Sarkar, D.R., Rao, K.R., Chatterjee, N., Bhaskar, A., 2024. Scrutinizing Data from Sky : An Examination of Its Veracity in Area Based Traffic Contexts. arXiv Prepr. Arch. 1 . doi:https://doi.org/10.48550/arXiv.2404.17212"

The data headers are as follows:Track ID; A unique Identifier for each vehicleType; Vehicle types (Tuk-Tuk: Motorised three-wheelers, Medium Vehicle: Light Commercial Vehicles)x [m];y [m]; Local coordinates of the centre of the vehicleSpeed [km/h]; Instantaneous speed of the vehicleTan. Acc. [ms-2]; instantaneous Longitudinal acceleration in the direction of motionLat. Acc. [ms-2]; instantaneous lateral acceleration across the direction of motionTime [s]; Time stamp of the records (rows)

Note: Some coordinate values (x, y) may appear negative, which is due to the local coordinate calibration. All the coordinates need to be shifted to align the minimum values with the origin for better readability of the data (it's okay even if you don't shift them).

All the best! :)Have a happy research journey! (:
DOI: 10.5281/zenodo.16629841
title: Data from: Enabling quantitative eDNA monitoring in lotic ecosystems by mitigating hydrological noise
DOI: 10.5524/102789
title: Supporting data for "Haplotype-resolved chromosome-level genome assemblies of four <i>Diamesa</i> species reveal the genetic basis of cold tolerance and high-altitude adaptations in arctic chironomids"

description: This dataset consist of haplotype-resolved, chromosome-level genomes for four  <i>Diamesa</i>  species (<i>D. hyperborea</i>, <i>D. lindrothi</i>, <i>D. serratosioi</i> and <i>D. tonsa</i>), assembled using PacBio HiFi sequencing and Hi-C scaffolding.
DOI: 10.5281/zenodo.17912945
title: Electrophysiology dataset used in publication "Miniature endoscope for high resolution electrophysiological recordings from the colon of live mice"
DOI: 10.2908/isoc_iiu_iuxr
title: Individuals - reasons for not using the internet
title: Particuliers - raisons de la non-utilisation de l’internet
title: Einzelpersonen - Grund für die Nichtnutzung des Internets
DOI: 10.2908/isoc_ai_iaiu
title: Individuals - use of generative AI tools
title: Particuliers - utilisation d’outils d’IA générative
title: Einzelpersonen - Nutzung von generativer KI
DOI: 10.2908/isoc_iiu_iuprb
title: Individuals - difficulties encountered when using the internet
title: Particuliers - difficultés rencontrées lors de l’utilisation de l’internet
title: Einzelpersonen - Schwierigkeiten bei der Internetnutzung
DOI: 10.2908/isoc_ai_iaiuxr
title: Individuals - reasons for not using generative AI tools
title: Particuliers - raisons de la non-utilisation d’outils de l'IA générative
title: Einzelpersonen - Gründe für die Nichtnutzung von generativer KI
DOI: 10.17605/osf.io/b5cyf
title: The path to radicalization: How contempt influences choice of collective action

description: Our project aims to identify the underlying psychological mechanisms of radicalization. Specifically, we investigate how repeated social exclusion leads to support for inaction, normative, nonnormative and extreme collective action. Also, we investigate the role of contempt and perceived distance to others. The following demographic variables are included: age, gender, and education. Data will be collected through the Psychology online laboratory participant pool. In addition, we collect a convenience sample through our own social networks and through social media. We will analyze the data using linear regression analysis. Bootstrapping analyses will be conducted for the mediation analysis.
DOI: 10.4121/c26d5bab-a1c1-4d0c-973c-f1ad5921eca5
title: Data underlying the research on aircraft landing trajectory prediction based on deep learning

description: This study predicts the four-dimensional flight path during the aircraft landing phase, utilizing over 2,000 ADS-B flight path data points from landing flights at Guangzhou Baiyun Airport for experimentation.
DOI: 10.4121/c26d5bab-a1c1-4d0c-973c-f1ad5921eca5.v1
title: Data underlying the research on aircraft landing trajectory prediction based on deep learning

description: This study predicts the four-dimensional flight path during the aircraft landing phase, utilizing over 2,000 ADS-B flight path data points from landing flights at Guangzhou Baiyun Airport for experimentation.
DOI: 10.15468/dl.udnz7y
title: Occurrence Download

description: A dataset containing 605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Lampyridae"
 ]
}

 The dataset includes 605 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054330-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17398263
title: Supporting data for manuscript NCOMMS-25-48088: Abyssal hydrothermal alteration drives the evolution from simple alkanes to prebiotic molecular complexity

description: The raw data files for submission entitled "Abyssal hydrothermal alterati on drives the evolution from simple alkanes to prebiotic molecular complexity" are available and have been deposited in the Zenodo database at 10.5281/zenodo.17398264.
DOI: 10.5281/zenodo.17398264
title: Supporting data for manuscript NCOMMS-25-48088: Abyssal hydrothermal alteration drives the evolution from simple alkanes to prebiotic molecular complexity

description: The raw data files for submission entitled "Abyssal hydrothermal alterati on drives the evolution from simple alkanes to prebiotic molecular complexity" are available and have been deposited in the Zenodo database at 10.5281/zenodo.17398264.
DOI: 10.5281/zenodo.17745347
title: Microscopic Vehicle Trajectories from Heterogeneous and Area-Based Traffic
title: Traffic Data from Developing Countries

description: Version "DEL 4" pertains to the near-free flow regime of traffic, comprising over 500,000 data points with a higher share of motorised two-wheelers as compared with the previous versions. 

The Microscopic Vehicle Trajectory (MVT) data are from an urban midblock location in the National Capital Region of India, featuring highly heterogeneous and area-based traffic (weak lane-based/non-lane-based/disordered traffic, as you prefer to call it :D ^-^).

The traffic was captured from a fixed height above the road surface (150 meters) using a UAV (drone), covering a road stretch of nearly 180 meters in both directions. DEL 4 version of the data is provided here, capturing traffic for over one hour and encompassing a near-free-flow traffic state. The fundamental diagrams (FDs) are attached. As per the notation in the FDs, "DEL 4" version of the dataset is being released. In the near future, other datasets illustrated in the FDs will also be made openly available.

Note: The densities are expressed in terms of the full carriageway width, as the traffic is area-based. Using lane-based densities during analysis would misrepresent the effect of lateral interactions.

The MVTs are exported at a temporal resolution of 0.1 seconds.The coordinates are calibrated in relation to the local coordinate system.The dataset is in CSV format, with semicolons (;) as separators, and contains over half a million unique data points across all rows. 

Note: The MVT data has been extracted using the Data from Sky software, and the veracity of the output has already been checked in another study."Ali, Y., Krishnan, K.N., Sarkar, D.R., Rao, K.R., Chatterjee, N., Bhaskar, A., 2024. Scrutinizing Data from Sky : An Examination of Its Veracity in Area Based Traffic Contexts. arXiv Prepr. Arch. 1 . doi:https://doi.org/10.48550/arXiv.2404.17212"

The data headers are as follows:Track ID; A unique Identifier for each vehicleType; Vehicle types (Tuk-Tuk: Motorised three-wheelers, Medium Vehicle: Light Commercial Vehicles)x [m];y [m]; Local coordinates of the centre of the vehicleSpeed [km/h]; Instantaneous speed of the vehicleTan. Acc. [ms-2]; instantaneous Longitudinal acceleration in the direction of motionLat. Acc. [ms-2]; instantaneous lateral acceleration across the direction of motionTime [s]; Time stamp of the records (rows)

Note: Some coordinate values (x, y) may appear negative, which is due to the local coordinate calibration. All the coordinates need to be shifted to align the minimum values with the origin for better readability of the data (it's okay even if you don't shift them).

All the best! :)Have a happy research journey! (:
DOI: 10.15468/dl.zcqq69
title: Occurrence Download

description: A dataset containing 2833 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus infectoria"
 ]
}

 The dataset includes 2833 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054331-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.