cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17279139
title: Hololens 2 Hand Joints Dataset for Hand Gesture Recognition

description: The Hololens 2 Hand Joints Dataset for Hand Gesture Recognition was collected using a HoloLens 2 AR headset, which provides tracking data for 26 hand joints. Participants performed a set of predefined gestures designed to meet the requirements of the SUN project. The dataset includes four static gesture categories -Thumbs Up, Thumbs Down, Two Fingers, and No Gesture- as well as two dynamic gesture categories: Moving Two Fingers and Random.For static gestures, each frame contains 129 features: 25 values representing the distances from the root joint (palm) to each of the other joints, and 104 values representing joint rotations encoded as quaternions. Each frame is also timestamped. For dynamic gestures, the data consists of frame sequences spanning a duration of one second. Each frame in these sequences likewise contains 129 features, following the same representation as in the static gestures.
DOI: 10.21227/7ssg-x902
title: "Data and Tables Related to the Article \u201cEvaluating Technology-Enhanced Interventions in STEM Education: A Systematic Review\u201d"

description: "This dataset is associated with the article \u201cEvaluating Technology-Enhanced Interventions in STEM Education: A Systematic Review\u201d and compiles all information extracted during the screening and assessment of 150 studies selected from 3,239 initial records.The Complete Ordering (Data) file contains descriptive information for each study, including the type of technological intervention, evaluation methods, and metrics used.The Full Sorting (Quality) file presents the methodological quality scores assigned to each study according to seven evaluation criteria (QC1\u2013QC7).These data enable replication, validation, and further analysis of methods and metrics applied to the evaluation of technology-enhanced learning interventions in STEM education contexts."
DOI: 10.5281/zenodo.17488413
title: GNPS REFRAME DRUG CCS LIBRARY

description: This library contains MS/MS spectra collected from mixtures of drug compounds from the Reframe drug library (https://reframedb.org/). The compound name includes the mean collision cross section (CCS) values from triplicate acquisition, and COV <2%. Data was collected on a timsTOF Pro 2 in positive ESI mode at 20eV and 40eV CE. Feature extraction and annotations were processed in Metaboscape 2025b. These annotations have been filtered for an MSMS score >200. The spectral library was created by Victoria Deleray videleray@ucsd.edu in the Dorrestein Lab at the University of California, San Diego.
DOI: 10.5281/zenodo.17488402
title: Serum Levels of miR-122-5p and miR-125a-5p Predict Hepatotoxicity Occurrence in Patients Undergoing Autologous Hematopoietic Stem Cell Transplantation - Normalized miRNA expression data with clinical variables.

description: Serum miRNA qPCR expression data from manuscript:

Serum Levels of miR-122-5p and miR-125a-5p Predict Hepatotoxicity Occurrence in Patients Undergoing Autologous Hematopoietic Stem Cell Transplantation

The data were collected and analyzed as part of the project funded by the National Science Centre, Poland (NCN), project no. 2022/45/N/NZ6/02904.

The dataset includes processed data underlying the results presented in the publication available at:https://www.mdpi.com/1422-0067/25/8/4355
DOI: 10.5281/zenodo.17488403
title: Serum Levels of miR-122-5p and miR-125a-5p Predict Hepatotoxicity Occurrence in Patients Undergoing Autologous Hematopoietic Stem Cell Transplantation - Normalized miRNA expression data with clinical variables.

description: Serum miRNA qPCR expression data from manuscript:

Serum Levels of miR-122-5p and miR-125a-5p Predict Hepatotoxicity Occurrence in Patients Undergoing Autologous Hematopoietic Stem Cell Transplantation

The data were collected and analyzed as part of the project funded by the National Science Centre, Poland (NCN), project no. 2022/45/N/NZ6/02904.

The dataset includes processed data underlying the results presented in the publication available at:https://www.mdpi.com/1422-0067/25/8/4355
DOI: 10.7910/dvn/xnchc2
title: BRTSC Data

description: Banks' Risk Taking data
DOI: 10.15468/dl.q78cyy
title: Occurrence Download

description: A dataset containing 2821 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "Country is one of (United States of America, Canada)",
 "TaxonKey is one of (Anaxyrus americanus [GBIF Backbone Taxonomy])",
 "InstitutionCode is one of (UF, CM, CAS, MCZ, UMMZ, TNHC, NCSM, ASU, APSU, ASNHC)",
 "StateProvince is one of (Florida, North Carolina, Pennsylvania, Virginia, Michigan, Indiana, Louisiana, Alabama, Ohio, West Virginia, Massachusetts, Maryland, Georgia, New York)",
 "Preparations is one of (whole animal in alcohol, whole animal (ethanol), alcohol, alcoholic, whole animal (70% ethanol), alcohol-formalin fixed - 1, whole animal (formalin); tissue (frozen: -80°c), whole animal (formalin))",
 "BasisOfRecord is one of (Specimen)"
 ]
 }
 ]
}

 The dataset includes 2821 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008880-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jt7yj
title: Occurrence Download

description: A dataset containing 2821 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "Country is one of (United States of America, Canada)",
 "TaxonKey is one of (Anaxyrus americanus [GBIF Backbone Taxonomy])",
 "InstitutionCode is one of (UF, CM, CAS, MCZ, UMMZ, TNHC, NCSM, ASU, APSU, ASNHC)",
 "StateProvince is one of (Florida, North Carolina, Pennsylvania, Virginia, Michigan, Indiana, Louisiana, Alabama, Ohio, West Virginia, Massachusetts, Maryland, Georgia, New York)",
 "Preparations is one of (whole animal in alcohol, whole animal (ethanol), alcohol, alcoholic, whole animal (70% ethanol), alcohol-formalin fixed - 1, whole animal (formalin); tissue (frozen: -80°c), whole animal (formalin))",
 "BasisOfRecord is one of (Specimen)"
 ]
 }
 ]
}

 The dataset includes 2821 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008881-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fytfwy
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Senegalia lacerans"
 ]
}

 The dataset includes 311 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008882-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5ms3kf3g
title: MassIVE MSV000099700 - AKAP2 is a focal adhesion proximal scaffold that promotes growth and metastasis in triple negative breast cancer
title: Proximity labeling using AKAP2-miniTurbo in MDA-MB-231 cells, stably expressed and under inducible expression with doxycycline. Experiment is five biological replicates per condition, each LC-MS run is a single biological replicate.
DOI: 10.5281/zenodo.17488440
title: GNPS Ion Mobility Library 1

description: This library contains MS/MS spectra collected from multiplexed mixtures including combinatorial synthesis reaction mixtures or crude mixtures of drugs, bile acids, and other small molecules. The compound name includes the experimental collision cross section (CCS) values for annotated molecules. Data was collected on a timsTOF Pro 2 in positive ESI mode. Feature extraction and annotations were processed in Metaboscape 2025b. The spectral library was created by Victoria Deleray videleray@ucsd.edu in the Dorrestein Lab at the University of California, San Diego.
DOI: 10.5281/zenodo.17488287
title: Anomaly Detection Scenarios for Turtlebot3 Burger and Panda Emika Franka

description: This dataset contains experimental logs collected for the study"Data-Light Hybrid Anomaly Detection for Robotic Systems Using Semantic and Message-Count Features"conducted at Ben-Gurion University of the Negev.

The data includes real-world and simulated runs from two robotic platforms:





TurtleBot3 Burger — navigation tasks




Franka Emika Panda — manipulation tasks



Each experiment includes normal runs and multiple anomaly scenarios such as:





sensor degradation




control disturbances




network degradation




collision and environment interference




adversarial velocity / command perturbations



Dataset Contents

For each robot and scenario, we provide:





Raw ROS log files (.bag or extracted structured logs)




Pre-processed feature logs used for analysis





Semantic features (robot state variables: position, velocity, joint states)




Message-count features (count histograms of ROS messages per time window)





Format





Timestamp-indexed log files




CSV and structured feature matrices




Metadata files describing scenario type and label (normal/anomalous)



Purpose

This dataset supports research in:





anomaly detection in robotics




robust robot performance monitoring




ROS-based behavior analysis and cyber-physical safety




hybrid semantic + communication-level modeling



It enables reproducible evaluation of data-light anomaly detection methods under diverse anomaly types and realistic robotic behavior variability.

Usage

The dataset is suitable for researchers exploring anomaly detection, robotics safety, ROS analytics, or heterogeneous feature modeling.
DOI: 10.5281/zenodo.17488288
title: Anomaly Detection Scenarios for Turtlebot3 Burger and Panda Emika Franka

description: This dataset contains experimental logs collected for the study"Data-Light Hybrid Anomaly Detection for Robotic Systems Using Semantic and Message-Count Features"conducted at Ben-Gurion University of the Negev.

The data includes real-world and simulated runs from two robotic platforms:





TurtleBot3 Burger — navigation tasks




Franka Emika Panda — manipulation tasks



Each experiment includes normal runs and multiple anomaly scenarios such as:





sensor degradation




control disturbances




network degradation




collision and environment interference




adversarial velocity / command perturbations



Dataset Contents

For each robot and scenario, we provide:





Raw ROS log files (.bag or extracted structured logs)




Pre-processed feature logs used for analysis





Semantic features (robot state variables: position, velocity, joint states)




Message-count features (count histograms of ROS messages per time window)





Format





Timestamp-indexed log files




CSV and structured feature matrices




Metadata files describing scenario type and label (normal/anomalous)



Purpose

This dataset supports research in:





anomaly detection in robotics




robust robot performance monitoring




ROS-based behavior analysis and cyber-physical safety




hybrid semantic + communication-level modeling



It enables reproducible evaluation of data-light anomaly detection methods under diverse anomaly types and realistic robotic behavior variability.

Usage

The dataset is suitable for researchers exploring anomaly detection, robotics safety, ROS analytics, or heterogeneous feature modeling.
DOI: 10.5517/ccdc.csd.cc2n6917
title: CCDC 2448908: Experimental Crystal Structure Determination

description: Related Article: Bhupinder Kaur, Ankit Pandey, Basvaraj S. Kote, Maravanji S. Balakrishna|2025|Eur.J.Inorg.Chem.|28|e202500296|doi:10.1002/ejic.202500296
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n6928
title: CCDC 2448909: Experimental Crystal Structure Determination

description: Related Article: Bhupinder Kaur, Ankit Pandey, Basvaraj S. Kote, Maravanji S. Balakrishna|2025|Eur.J.Inorg.Chem.|28|e202500296|doi:10.1002/ejic.202500296
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mkn62
title: CCDC 2430034: Experimental Crystal Structure Determination

description: Related Article: B. M. Parveen Beebeejaun-Boodoo, Melanie Rademeyer|2025|J.Mol.Struct.||1|doi:10.1080/00958972.2025.2549144
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n2dhn
title: CCDC 2445171: Experimental Crystal Structure Determination

description: Related Article: Raju Biswas, Tuhin Abedin, Srikanta Karmakar, Sujoy Baitalik|2025|Org.Biomol.Chem.|23|9644|doi:10.1039/d5ob01296a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mkn3z
title: CCDC 2430031: Experimental Crystal Structure Determination

description: Related Article: B. M. Parveen Beebeejaun-Boodoo, Melanie Rademeyer|2025|J.Mol.Struct.||1|doi:10.1080/00958972.2025.2549144
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n9hvb
title: CCDC 2452002: Experimental Crystal Structure Determination

description: Related Article: Yang Hua, Yuan Shen, Xin Meng, Yun-Ying Bai, Yu-Fan Yang, Hong Zhang|2025|ACS Applied Materials and Interfaces|17|55372|doi:10.1021/acsami.5c13469
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nb2tx
title: CCDC 2452559: Experimental Crystal Structure Determination

description: Related Article: Shulan Ji, Yu Zhang, Xun Li, Fei Wang|2026|Spectrochim.Acta,Part A|347|126998|doi:10.1016/j.saa.2025.126998
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2np3hz
title: CCDC 2463151: Experimental Crystal Structure Determination

description: Related Article: Sadhna Shah, Venkata S. R. Ganga, Yu-Xiang Huang, Natalia Fridman, Inbal Tuvi-Arad, Yi-Tsu Chan, Ofer Reany, Ehud Keinan|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c11855
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2np50k
title: CCDC 2463198: Experimental Crystal Structure Determination

description: Related Article: Yoshihito Kayaki, Yuto Tsuda, Shigeki Kuwata|2025|Chem.-Eur.J.|31|e02024|doi:10.1002/chem.202502024
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jrz9l
title: CCDC 2346740: Experimental Crystal Structure Determination

description: Related Article: Trishnajyoti Baishya, Mridul Boro, Rosa M. Gomila, Antonio Frontera, Miquel Barcelo-Oliver, Akalesh Kumar Verma, Aminur Rahman, Manjit K. Bhattacharyya|2026|J.Mol.Struct.|1351||doi:10.1016/j.molstruc.2025.144191
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p8br2
title: CCDC 2480674: Experimental Crystal Structure Determination

description: Related Article: Ning-Ning Zhang, Ze-Yu Zhang, Wen-Xin Wang, Kong-Gang Qu, Yong Yan|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c03813
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.tmmc64
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Archaea",
 "InstitutionCode is iNaturalist",
 "Country is United States of America",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008886-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17488459
title: High Serum miR-361-3p Predicts Early Postdischarge Infections after Autologous Stem Cell Transplantation - Normalized miRNA expression data with clinical variables- infection and hospitalization occurrence

description: Serum miRNA qPCR expression data from manuscript:

High Serum miR-361-3p Predicts Early Postdischarge Infections after Autologous Stem Cell Transplantation

The data were collected and analyzed as part of the project funded by the National Science Centre, Poland (NCN), project no. 2022/45/N/NZ6/02904.

The dataset includes processed data underlying the results presented in the publication available at:https://icjournal.org/DOIx.php?id=10.3947/ic.2024.0021
DOI: 10.5281/zenodo.17488460
title: High Serum miR-361-3p Predicts Early Postdischarge Infections after Autologous Stem Cell Transplantation - Normalized miRNA expression data with clinical variables- infection and hospitalization occurrence

description: Serum miRNA qPCR expression data from manuscript:

High Serum miR-361-3p Predicts Early Postdischarge Infections after Autologous Stem Cell Transplantation

The data were collected and analyzed as part of the project funded by the National Science Centre, Poland (NCN), project no. 2022/45/N/NZ6/02904.

The dataset includes processed data underlying the results presented in the publication available at:https://icjournal.org/DOIx.php?id=10.3947/ic.2024.0021
DOI: 10.5281/zenodo.17488007
title: SB 1.1 — Cross-Cultural Expansion of the Karmil Streams Dynamic Database (Arab Maqam & Indian Raga)

description: SB 1.1 is the first cross-cultural expansion of the Karmil Streams empirical corpus. It supplements SB 1.0 (Turkish/Usşak corpus) by adding Arab maqam and Indian raga monophonic recordings with time-aligned pitch-tracks and stream-phase measurements.

Each track includes:• smoothed pitch contour• φ-phase trajectory• y(φ) stream-coordinate (VP/NP dual-stream geometry)• stream energy function E_str(t)• boundary markers for ascending/descending stream segments• φ-extrema (φ_max, φ_min) and tonic reference (Hz)

The dataset is intended for cross-cultural empirical validation of the four fundamental laws of Karmil Streams and their energetic-phase invariants.

SB 1.0 remains unchanged; SB 1.1 is an additive supplement dataset.License: CC BY 4.0.
DOI: 10.5281/zenodo.17488006
title: SB 1.1 — Cross-Cultural Expansion of the Karmil Streams Dynamic Database (Arab Maqam & Indian Raga)

description: SB 1.1 is the first cross-cultural expansion of the Karmil Streams empirical corpus. It supplements SB 1.0 (Turkish/Usşak corpus) by adding Arab maqam and Indian raga monophonic recordings with time-aligned pitch-tracks and stream-phase measurements.

Each track includes:• smoothed pitch contour• φ-phase trajectory• y(φ) stream-coordinate (VP/NP dual-stream geometry)• stream energy function E_str(t)• boundary markers for ascending/descending stream segments• φ-extrema (φ_max, φ_min) and tonic reference (Hz)

The dataset is intended for cross-cultural empirical validation of the four fundamental laws of Karmil Streams and their energetic-phase invariants.

SB 1.0 remains unchanged; SB 1.1 is an additive supplement dataset.License: CC BY 4.0.
DOI: 10.21233/xbqc-n072
title: Lake Dora geochronologic dataset

description: Raw data for the Lake Dora geochronologic dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qk3t-dn62
title: Lake Dora pollen dataset

description: Raw data for the Lake Dora pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.34740/kaggle/dsv/13560638
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.yffkte
title: Occurrence Download

description: A dataset containing 47560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Protozoa",
 "InstitutionCode is iNaturalist",
 "Country is United States of America",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 47560 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008888-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.