cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/b249zyfswk
title: Stereo Fish Dataset for BézierFusion: 3D Curve Estimation in Aquaculture

description: This dataset contains binocular stereo images and annotations for underwater fish detection and 3D body length measurement, supporting the research paper "Bézierfusion: A Unified Fish Detection and Measurement Paradigm".

Dataset Overview: The dataset consists of two distinct subsets covering different aquaculture scenarios:

Dataset 1 (Indoor Environment): Collected from an indoor grouper (Plectropomus leopardus) farm featuring a stable blue tank background.

Dataset 2 (Outdoor Environment): Collected from outdoor ponds, featuring complex challenges like weak textures and suspended particles.

Note on Data Completeness: This repository contains a representative subset of the full dataset. It includes the complete Test Set and a sample of the Training Set. This subset shares the exact same directory structure and annotation format as the full dataset, allowing researchers to run the provided code and reproduce the evaluation metrics reported in the paper.
DOI: 10.17632/b249zyfswk.1
title: Stereo Fish Dataset for BézierFusion: 3D Curve Estimation in Aquaculture

description: This dataset contains binocular stereo images and annotations for underwater fish detection and 3D body length measurement, supporting the research paper "Bézierfusion: A Unified Fish Detection and Measurement Paradigm".

Dataset Overview: The dataset consists of two distinct subsets covering different aquaculture scenarios:

Dataset 1 (Indoor Environment): Collected from an indoor grouper (Plectropomus leopardus) farm featuring a stable blue tank background.

Dataset 2 (Outdoor Environment): Collected from outdoor ponds, featuring complex challenges like weak textures and suspended particles.

Note on Data Completeness: This repository contains a representative subset of the full dataset. It includes the complete Test Set and a sample of the Training Set. This subset shares the exact same directory structure and annotation format as the full dataset, allowing researchers to run the provided code and reproduce the evaluation metrics reported in the paper.
DOI: 10.17632/gf5n7nb7hj
title: Indirect tensile strength of cement-stabilized soils: a hybrid experimental and literature dataset

description: The dataset compiles both literature-sourced records and newly generated experimental data on the indirect tensile strength (ITS) of cement-treated soils. This unified database is utilized to train and validate the SBS-TabPFN-SHAP model for ITS prediction.
DOI: 10.17632/gf5n7nb7hj.2
title: Indirect tensile strength of cement-stabilized soils: a hybrid experimental and literature dataset

description: The dataset compiles both literature-sourced records and newly generated experimental data on the indirect tensile strength (ITS) of cement-treated soils. This unified database is utilized to train and validate the SBS-TabPFN-SHAP model for ITS prediction.
DOI: 10.14470/4u7568470291
title: Passive seismic profile across the Easter Betic and Iberian Massif (TRANSCORBE)

description: We carried out a passive seismic experiment formed by 50 broadband and short-period stations with an interstation distance of 3-4 km. These stations were in operation for 22 months, from 06/2013 to 05/2015. The seismic array (TRANSCORBE) was deployed in a linear configuration of 170 km length in a NW-SE direction. The southern edge of the prolife is located near the Mediterranean coast in Mazarrón (Murcia) crossing the Alhama de Murcia fault and the Cazorla Mountain range in the north. The main goal of this project is to study the crustal and upper mantle structures under the Eastern Betics mountain ranges and their variations along the different geological domains. It probes, from southeast to northwest, the Alboran domain (metamorphic rocks), the External zones (sedimentary rocks) and the Variscan terrains of the Iberian Massif. The proposed scientific work includes the analysis of the data using mainly P and S receiver functions, and velocity and attenuation tomographic techniques. The study area has undergone a complex tectonic evolution where slow WNW-ESE oblique convergence of Iberian and African plates coexists with a rapid westward rollback of a subducting slab. The inter-station distance allows us obtaining high-resolution images of the crustal structure essential to understand the tectonic evolution of the area and how the deformation produced by these processes is distributed among the involved geologic domains. This experiment was the result of a joint effort between the Instituto Andaluz de Geofísica (IAG), Granada University, and GFZ Potsdam. Waveform data are available from the GEOFON data centre.
DOI: 10.15468/dl.xdkfy4
title: Occurrence Download

description: A dataset containing 19421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nyctalus lasiopterus)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19421 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007775-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14470/2y7562610816
title: 1 year seismological experiment at Strokkur in 2017/18

description: Strokkur_1yr is a one year seismological experiment realized at the most active geyser on Iceland by Eva Eibl (University of Potsdam) in collaboration with Thomas R. Walter, Phillippe Jousset, Torsten Dahm, Masoud Allahbakhshi, Daniel Müller from GFZ Potsdam and Gylfi P. Hersir from ISOR Iceland. The geyser is part of the Haukadalur geothermal area in south Iceland, which contains numerous geothermal anomalies, hot springs, and basins (Walter et al., 2018). Strokkur is a pool geyser and has a silica sinter edifice with a water basin on top, which is about 12 m in diameter with a central tube of more than 20 m depth. The aim of the seismic experiment is to monitor eruptions of Strokkur geyser from June 2017 to June 2018 using four broadband seismic stations (Nanometrics Trillium Compact Posthole 20 s). Sensors were buried 30–40 cm deep in the ground at distances of 38.8 m (G4, SE), 47.3 m (G3, SW), 42.5 m (G2, N), and 95.5 m (G1, NE) from Strokkur center. Data gaps represent 15–44 % of the records as during the winter period maintenance intervals were longer and battery drainage was high. However, at any given time, at least one station recorded the eruptions. From this dataset, converted to MSEED using Pyrocko, a catalogue of 70,000 eruptions was determined and further investigated in Eibl et al. (2020) Waveform data are available from the GEOFON data centre, under network code 7L.
DOI: 10.5281/zenodo.17710014
title: Nanoplastic-induced microbiome shifts reduce Daphnia fitness and increase parasite reproduction

description: Data set and Rscripts for the work:

Working Title (subject to change): “Nanoplastic-induced microbiome shifts reduce Daphnia fitness and increase parasite reproduction” 

Vanderville Villegas1,2, Amruta Rajarajan1,3, Erika Berenice Martínez-Ruiz1, Kristel F. Sánchez1, Justyna Wolinska1,2

1Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany, 2Institute of Biology, Freie Universität Berlin, Germany, 3Present address: Institute for Biodiversity and Ecosystem Dynamics (IBED-EPB), University of Amsterdam, Netherlands
DOI: 10.5281/zenodo.15090720
title: Plants, spiders, ground beetles from glacial and periglacial habitats in European Alps
title: Global threats, local opportunities: ice-related landforms provide refugia for high-elevation plants and arthropods

description: Original dataset with presence absence data of vascular plants, spiders and ground beetles from glacial and periglacial habitats on European Alps. For further details, see the original paper
DOI: 10.14470/0y7568667884
title: Seismic array data for monitoring and tracking tremor sources during subglacial floods and volcanic eruptions at Vatnajökull (Vatna Glacier), Iceland

description: As part of project FUTUREVOLC, European volcanological supersite in Iceland: a monitoring system and network for the future, two 7-element seismic broadband arrays were installed outside the western margin of Vatnajökull glacier, Iceland. The goal was to study seismic tremor associated with floods originating in the eastern and western Skaftár cauldrons. A third temporary array was installed during the Bárðarbunga 2014-2015 volcanic eruption near the eruption site. The aim of the array installations was to discriminate between different seismic tremor sources, namely volcanic eruptions, lava flows, hydrothermal explosions and subglacial floods (jökulhlaups). The main aim of the two arrays installed on the western margin of Vatnajökull was to study their early-warning potential through the analysis of four subglacial floods observed during the study period. The seismic vibrations associated with these floods have an emergent start, are of long duration and are referred to as tremor or high-frequency noise. Due to the lack of clear discrete onsets they cannot be located using traditional earthquake location methods. Instead clusters of seismometers (called arrays) are employed to both locate the tremor source and determine the wave type in the tremor (surface vs. body waves). The array data recorded during the Bárðarbunga eruption were used to investigate the nature of shallow, pre-eruptive, long-duration seismic tremor activity related to shallow dyke formation. The sources of the tremor were found to locate at the eruption site and under ice cauldrons which formed on the ice surface during the first weeks of the unrest. Waveform data are available from the GEOFON data centre, under network code 5L.
DOI: 10.5281/zenodo.15024075
title: Plants, spiders, ground beetles from glacial and periglacial habitats in European Alps
title: Global threats, local opportunities: ice-related landforms provide refugia for high-elevation plants and arthropods

description: Original dataset with presence absence data of vascular plants, spiders and ground beetles from glacial and periglacial habitats on European Alps. For further details, see the original paper
DOI: 10.14470/0x7560499728
title: One year of seismic records of an array installed on a taiwanese ridge

description: A line of 6 broadband seismometers have been deployed across a ridge in the Hualien County (Eastern Taiwan). From March 2015 to June 2016 the network has been continuously recording waves incoming from the Taiwanese regional seismicity. During that period, more than 2000 earthquakes with magnitudes Ml&gt;3 and distant from less than 200km were recorded. The hill is well approximated by a triangular topography of 3600m in length by 900m in height. Waveform data are open and available from the GEOFON data centre, under network code 5K.
DOI: 10.11588/duerer.online.6925b2c0d4605
title: Dürers Wohnhaus, 187248
DOI: 10.14470/k67568473685
title: RHUM-RUM Seychelles

description: RHUM-RHUM is a seismic experiment to study the deep structure of the Reunion plume. La Reunion is one of the most promising locations for a deep whole-mantle plume. Waveform data are available from the GEOFON data centre, under network code X1 under CC-BY 4.0 license.
DOI: 10.15468/dl.t35xbg
title: Occurrence Download

description: A dataset containing 375687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bird Ringing Centre in Sweden (NRM)",
 "TaxonKey is Erithacus rubecula",
 "Year 2010-2025"
 ]
}

 The dataset includes 375687 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007766-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24403/jp.1512750
title: Fünf Jahre Pepper in Zürich : Der Einsatz des humanoiden Roboters liefert wertvolle Erkenntnis zum Einsatz von Robotik an einer Hochschule / Andreas Grossmann
DOI: 10.5281/zenodo.17712043
title: CIN_code: Markerless Gait Analysis Pipeline for Critical Illness Neuropathy (CIN)

description: This repository contains the code and example data used to generate gait kinematic graphs for a patient with suspected critical illness neuropathy (CIN). The pipeline was developed using the OpenCap markerless motion-capture platform and includes fully reproducible scripts for loading OpenCap output, computing joint-angle Z-scores, and generating publication-ready figures.

This archive is provided as supplementary material for the associated manuscript.



📁 Contents of the Repository

1. opencap_graph_code/

Python scripts for:





loading OpenCap .pkl or .csv kinematic data




computing Z-scores against a normative dataset




detecting gait-cycle segments exceeding threshold (|Z| > 2)




generating three-panel kinematic plots (hip/knee/ankle)




exporting figures as high-resolution PNG/PDF for publication



Key files:





CIN_opencap_pipeline.ipynb — full notebook version of the analysis



2. example_data/





gait_1.mot — example OpenCap motion file used to demonstrate the pipeline




Example preprocessed joint-angle arrays (if available)




Normative mean ± SD dataset (if provided in the manuscript)





▶️ How to Run the Code

Requirements





Python ≥ 3.9




Recommended libraries:







 



numpy
pandas
scipy
matplotlib
seaborn
pickle





Quick Start





Open the notebook:







 



CIN_opencap_pipeline.ipynb






Load the provided gait_1.mot file or your own OpenCap output.




Run all cells to:





preprocess gait cycles




compute segment-level Z-scores




generate kinematic deviation plots





Output Figures

The pipeline automatically generates:





Hip/knee/ankle sagittal kinematic curves




Control ±1 SD and ±2 SD shaded regions




Red-highlighted gait-cycle segments where |Z| > 2



These figures match those presented in the manuscript.



📘 Data Description

gait_1.mot

OpenSim-compatible motion file exported from OpenCap.Contains time-series joint kinematics for:





Hip flexion




Knee flexion




Ankle dorsiflexion




Pelvis orientation (optional)



Time is expressed in seconds, and all joint angles are in degrees.
DOI: 10.5281/zenodo.17712042
title: CIN_code: Markerless Gait Analysis Pipeline for Critical Illness Neuropathy (CIN)

description: This repository contains the code and example data used to generate gait kinematic graphs for a patient with suspected critical illness neuropathy (CIN). The pipeline was developed using the OpenCap markerless motion-capture platform and includes fully reproducible scripts for loading OpenCap output, computing joint-angle Z-scores, and generating publication-ready figures.

This archive is provided as supplementary material for the associated manuscript.



📁 Contents of the Repository

1. opencap_graph_code/

Python scripts for:





loading OpenCap .pkl or .csv kinematic data




computing Z-scores against a normative dataset




detecting gait-cycle segments exceeding threshold (|Z| > 2)




generating three-panel kinematic plots (hip/knee/ankle)




exporting figures as high-resolution PNG/PDF for publication



Key files:





CIN_opencap_pipeline.ipynb — full notebook version of the analysis



2. example_data/





gait_1.mot — example OpenCap motion file used to demonstrate the pipeline




Example preprocessed joint-angle arrays (if available)




Normative mean ± SD dataset (if provided in the manuscript)





▶️ How to Run the Code

Requirements





Python ≥ 3.9




Recommended libraries:







 



numpy
pandas
scipy
matplotlib
seaborn
pickle





Quick Start





Open the notebook:







 



CIN_opencap_pipeline.ipynb






Load the provided gait_1.mot file or your own OpenCap output.




Run all cells to:





preprocess gait cycles




compute segment-level Z-scores




generate kinematic deviation plots





Output Figures

The pipeline automatically generates:





Hip/knee/ankle sagittal kinematic curves




Control ±1 SD and ±2 SD shaded regions




Red-highlighted gait-cycle segments where |Z| > 2



These figures match those presented in the manuscript.



📘 Data Description

gait_1.mot

OpenSim-compatible motion file exported from OpenCap.Contains time-series joint kinematics for:





Hip flexion




Knee flexion




Ankle dorsiflexion




Pelvis orientation (optional)



Time is expressed in seconds, and all joint angles are in degrees.
DOI: 10.14470/lt7563229248
title: DESTRESS - soft stimulation treatments of geothermal reservoirs, Iceland

description: Near Reykjavik/Iceland, a "soft stimulation” geothermal experiment was performed in the frame of the DESTRESS project in 2019. The installed seismic stations consist of short period, and borehole stations in and around Geldinganes, NE of Reykjavik. The task of this network is the monitoring of the seismic events in the area around the stimulation site. The installation started in late 2018 with 6 short period stations (Reykjavik Energy). Since July 2019 additional seismic stations were integrated as a small scale array on the island Geldinganes and additional short period stations. A borehole geophone chain was installed with 17 short period 3-component geophones with a vertical spacing of 10 meter in the depth interval 1040m to 1200 m. Waveform data are available from the GEOFON data centre, under network code YG.
DOI: 10.5281/zenodo.12654036
title: Source region definitions for the HTAP3-OPNS multi-model exercise

description: A NetCDF file containing definitions of the source regions used in the HTAP3-OPNS multi-model exercise. The file contains gridded data at 0.1 degree resolution. There is one variable per source region, with values of 1 where the region is defined, and 0 elsewhere. The regions are modified based on the HTAP2 Tier1 and Tier2 regions, with information north of the Arctic Circle filled in with data from https://www.gadm.org.

This is version 4 of the region definitions, which corrects a bug in version 3 where the grid cells in the EMEP_East region east of 180 degrees west were incorrectly assigned to the EMEP_West region.

The boundary between the EMEP_West and EMEP_East regions is set at 45 degrees East for compatibility with regional model simulations using the CAMS simulation domain, and the land-based source regions have been extended by 3 degrees into the oceans to make sure that all land-based emissions are fully covered by each source region.
DOI: 10.5281/zenodo.17712022
title: Source region definitions for the HTAP3-OPNS multi-model exercise

description: A NetCDF file containing definitions of the source regions used in the HTAP3-OPNS multi-model exercise. The file contains gridded data at 0.1 degree resolution. There is one variable per source region, with values of 1 where the region is defined, and 0 elsewhere. The regions are modified based on the HTAP2 Tier1 and Tier2 regions, with information north of the Arctic Circle filled in with data from https://www.gadm.org.

This is version 4 of the region definitions, which corrects a bug in version 3 where the grid cells in the EMEP_East region east of 180 degrees west were incorrectly assigned to the EMEP_West region.

The boundary between the EMEP_West and EMEP_East regions is set at 45 degrees East for compatibility with regional model simulations using the CAMS simulation domain, and the land-based source regions have been extended by 3 degrees into the oceans to make sure that all land-based emissions are fully covered by each source region.
DOI: 10.15468/dl.m7xpvx
title: Occurrence Download

description: A dataset containing 4779944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Year is 1988"
 ]
}

 The dataset includes 4779944 records from 644 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007725-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xf553p
title: Occurrence Download

description: A dataset containing 22941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Rytidosperma caespitosum"
 ]
}

 The dataset includes 22941 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049484-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/eanavd
title: Marion Buj M1 report Data.xlsx

description: :unav
DOI: 10.17632/zc6k6d5c9k
title: A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning

description: In this project, a Nasopharyngeal Cancer Radiotherapy Sensitivity Scoring System (NPC-RSS) was constructed based on machine learning methods for predicting the sensitivity of nasopharyngeal cancer patients to radiation therapy. The model integrates transcriptomic data and screens key genes through a combination of multiple machine learning algorithms to build a scoring model with good predictive performance.
DOI: 10.17632/zc6k6d5c9k.1
title: A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning

description: In this project, a Nasopharyngeal Cancer Radiotherapy Sensitivity Scoring System (NPC-RSS) was constructed based on machine learning methods for predicting the sensitivity of nasopharyngeal cancer patients to radiation therapy. The model integrates transcriptomic data and screens key genes through a combination of multiple machine learning algorithms to build a scoring model with good predictive performance.
DOI: 10.17632/ystzp28p63
title: Analyzing Enterprise Asset Structure and Management Capability Using Cloud Computing and Industrial Enterprise Financial Accounting Cost Accounting Methods

description: This study aims to investigate the integration of cloud computing technology within the financial cost accounting framework of industrial enterprises to enhance asset structure and management capabilities. It addresses critical challenges, including low accuracy, inefficiency, and data leakage prevalent in enterprise financial cost accounting. The study proposes a multi-user cloud financial data privacy protection and classification model based on Support Vector Machine (SVM) techniques. Initially, the model preprocesses financial data and employs a distributed two-trapdoors public-key cryptosystem (DT-PKC) for encryption, ensuring secure data uploads to the cloud platform. Subsequently, it manages multi-user keys via a trusted third-party key distribution center, thereby reducing communication costs and enhancing privacy protection. The SVM model is then extended into the encrypted domain, utilizing user public keys to safeguard sensitive information from leakage. Finally, the model trains and predicts on encrypted data using SVM, returning the results to the enterprise for decryption and informed decision-making. Performance analysis reveals that the proposed algorithm demonstrates significant improvements in financial data processing efficiency (with a runtime enhancement exceeding 10%) and accuracy (exceeding 95%) when compared to the baseline K-Nearest Neighbors (KNN) algorithm, while maintaining communication overhead below 200Kb. Consequently, this model markedly enhances the efficiency and accuracy of financial data processing, thereby strengthening enterprise asset structure and management capabilities.