cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30899573.v1
title: Supporting data for: Statistical Analysis and Research on the Characteristics of Refined Oil Depot Accidents in China (1954-2023)

description: This dataset contains the underlying data for the manuscript entitled “Statistical Analysis and Research on the Characteristics of Refined Oil Depot Accidents in China”. The data were compiled from publicly available sources, including accident investigation reports, books, and online databases, covering 470 refined oil depot accidents recorded in China between 1954 and 2023.The primary data file (<code>primary_accident_data.csv</code>) provides a fine-grained, structured record for all 470 accidents. It is formatted in a <b>"long" structure</b>, where each row represents a single "Accident-Specific Cause" pair. This design allows a comprehensive capture of all contributing factors for each event. The file contains coded information on accident year, type, scale, casualties, involved unit, operation status, and root causes .A second core data file (<code>co_occurrence_matrix.csv</code>) contains the directed, weighted adjacency matrix used specifically for the network analysis (UCINET) presented in the manuscript. This matrix quantifies the causal relationships between factors identified in the 31 oil spill-initiated fire and explosion accidents, serving as the direct input for calculating node centrality and identifying critical accident paths.This dataset supports the full reproducibility of the findings, from descriptive statistics to network-based path analysis, and facilitates further research on safety management and accident prevention in hazardous chemical storage facilities.
DOI: 10.15468/dd.7k5jz3
title: (created by mistake)

description: Summary of datasets used in paper (dn)
DOI: 10.17026/ar/hdci8v
title: PAN-00162263 - Roman signet ring of sphendone form

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00162263&lt;/p&gt;
description: Modified: 2025-06-12T16:56:28+02:00
DOI: 10.4211/hs.96f4199c0e4c48e6bc0ea7f9251b16dd
title: Cle Elum Ridge Forest Treatment Region Dataset

description: This Cle Elum Ridge (CER) Forest Treatment Region Dataset contains geospatial, field-based, and lidar-derived snow and forest structure observations collected to evaluate how experimental forest thinning treatments influence snowpack storage on Cle Elum Ridge in the headwaters of the Yakima River Basin, Washington, USA. The dataset includes (1) 2023 snow depth time series from a network of field sites across a range of thinning intensities, (2) snow pit measurements collected on 6 March 2023 during the post-treatment lidar flight, (3) geospatial layers defining treatment units, site locations, and ancillary spatial context, and (4) pre-treatment (2021) and post-treatment (2023) snow-on lidar datasets processed into unified DEM, DSM, and numerous canopy cover and snow depth products (see subdirectory ReadMe.txt for the full list of variables). All lidar products were reprojected, gridded, and converted from either raw point clouds or GeoTIFFs to NetCDF formats using consistent units and spatial extents. The raw lidar datasets can be found in their corresponding data repositories (see Related Resources). Time series observations include processed datasets used for analysis, example timelapse images, and selected raw and intermediate files that document field data processing steps. Together, these datasets support the analysis of snow depth, snow storage, canopy openness, and forest structural changes associated with prescribed thinning treatments. They provide a reproducible foundation for evaluating forest-snow interactions and for assessing the hydrologic co-benefits of fuels reduction strategies in mountain forests.

This dataset complements the manuscript Lumbrazo et al. (2025), “Can we maximize snow storage through fire-resilient forest treatments? Insights from experimental forest treatments in the Eastern Cascades, WA, USA,” accepted in Frontiers in Forests and Global Change, Forest Hydrology section (doi:10.3389/ffgc.2025.1707812).
DOI: 10.21227/2gt9-aa39
title: "UAV low-altitude dataset for multi-target detection and tracking"

description: "The UAV low-altitude dataset for multi-target detection and tracking provides a specialized benchmark designed to support research in object detection and multi-object tracking under low-altitude unmanned aerial vehicle (UAV) surveillance scenarios. The dataset contains annotated images and video sequences of pedestrians, vehicles, and other common ground targets captured from low-flying UAV platforms, reflecting challenges such as small object size, frequent occlusions, scale variations, and complex backgrounds. All samples are labeled with bounding boxes and identity information to facilitate both detection and tracking tasks. This dataset aims to advance the development of lightweight and robust algorithms for real-time UAV-based monitoring applications, including public safety, traffic management, and intelligent surveillance."
DOI: 10.17026/ar/0uhasc
title: PAN-00122776 - smooth ware jug type Hofh. 52

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00122776&lt;/p&gt;
description: Modified: 2025-11-03T15:12:32+01:00
DOI: 10.57745/3huzos
title: 1,3-C3-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/cnkl4u
title: 1,13-C13-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/23di6y
title: 1,9-C9-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/cla0nu
title: 1,11-C11-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/tcu48m
title: 1,4-C4-D-3,4-OH-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/enenk5
title: 1,8-C8-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/kso1f5
title: 1,4-C4-D-4-OH-3-OEt-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/ai9xdf
title: 1,5-C2-O-C2-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/wqkasa
title: 1,5-C2-O-C2-D-4-OH-3,5-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/fsmmxo
title: 1,4-C4-D-2-OH-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/v1wwwu
title: 1,10-C10-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/dcd6b9
title: 1,2-C12-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/vv7rj3
title: 1,2-C2-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/bretvx
title: 1,4-C4-D-3-OH-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/v6wo7c
title: 1,4-C4-D-4-OH-3,5-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/51jfyr
title: 1,7-C7-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/gcjgcc
title: 1,4-C4-D-4-OH-3-OMe-PP_BDF.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/aaepzt
title: 1,4-C4-D-4-OH-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/vwnytz
title: 1,8-C2-O-C2-O-2-D-4-OH-3,5-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/yrhkfm
title: 1,5-C5-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/1nu2dw
title: 1,18-C18-9-en-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/7vymz1
title: 1,8-C2-O-C2-O-2-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/pjaizt
title: 1,6-C6-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/solq4z
title: 1,2-C10-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/ltusgc
title: 1,12-C12-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/z3crd2
title: 1,2-C8-D-4-OH-3-OMe-PP.zip

description: Structure (chemdraw and png), NMR, HRMS (png)
DOI: 10.57745/jpktfr
title: Readme.pdf

description: Metadata
DOI: 10.57745/zfnoil
title: Chimiotheque_Macrobisphenols.csv

description: Summary of the molecules found in the dataset
DOI: 10.57745/nbfsrd
title: 2,3-C4-D-4-OH-3-OMe-PP.zip

description: NMR and HRMS characterization of 2,3-C4-D-4-OH-3-OMe-PP
DOI: 10.57745/9sdm4k
title: Characterization of macrobisphenols

description: Macrobisphenols describe a family of bio-based bisphenols developed by the URD ABI as alternatives to classical bisphenols that pose health issues (i.e., endocrinial disruption). Introduced in 2013, Macrobisphenols are composed of two p-hydroxycinnamate entities linked through esters bonds involving a polyol. These compounds exhibit several advantages: (i) they do not generate endocrinal disruption, (ii) they show excellent antiradical activities, (iii) they can be used in different applications such as plasticizing agents or monomers for polymers synthesis. This dataset groups chemical characterization of these compounds by molecule (Structure, NMR data, HRMS spectra). Structures of the molecule are drawn under Chemdraw 20.0 and provided in .cdxml and as image in .png NMR analysis have been recorded on a Fourier 300 BRUKER under TopSpin 4.2 software. These analysis can be reopened under MestRenova or using the free NMRium software (https://www.nmrium.com). HRMS were recorded on an Agilent 1290 system, equipped with a 6545 Q-ToF mass spectrometer and a PDA UV detector. The source was equipped with a JetStream ESI probe operating at atmospheric pressure. Mass spectra of the compounds are provided in .png
DOI: 10.6084/m9.figshare.30901967
title: Agricultural production data in the Northern Hemisphere permafrost regions

description: This dataset contains province-level crop area and production data for countries located within permafrost regions, covering the period 1982–2020. The data were collected from official national statistical agencies of the respective countries and represent raw, unprocessed records prior to any harmonization or analysis.The dataset focuses on agricultural production in permafrost-affected regions, providing long-term time series information that can be used to examine spatial and temporal variations in crop cultivation under cold-climate conditions. Both cultivated area and crop yield/production variables are included at the subnational (province/state) scale, enabling detailed regional analyses.This dataset is intended to support research on climate change impacts, agricultural adaptation, and food production dynamics in high-latitude and permafrost regions.
DOI: 10.6084/m9.figshare.30901967.v1
title: Agricultural production data in the Northern Hemisphere permafrost regions

description: This dataset contains province-level crop area and production data for countries located within permafrost regions, covering the period 1982–2020. The data were collected from official national statistical agencies of the respective countries and represent raw, unprocessed records prior to any harmonization or analysis.The dataset focuses on agricultural production in permafrost-affected regions, providing long-term time series information that can be used to examine spatial and temporal variations in crop cultivation under cold-climate conditions. Both cultivated area and crop yield/production variables are included at the subnational (province/state) scale, enabling detailed regional analyses.This dataset is intended to support research on climate change impacts, agricultural adaptation, and food production dynamics in high-latitude and permafrost regions.
DOI: 10.5281/zenodo.17938652
title: GSR and PPG Signals with Extracted Features During Startle Events While Walking with a Smart Cane

description: This dataset accompanies the following publication, which is currently under review:



Villalba-Bravo, Trujillo-León, A., & Vidal-Verdú, F.Startle Event Detection Using a Smart Assistive Walking Cane and Machine Learning.IEEE RAS/EMBS 11th International Conference on Biomedical Robotics and Biomechatronics.(Under review)


Description

This dataset contains physiological signals collected from 18 participants using a wireless smart walking cane equipped with Galvanic Skin Response (GSR) and Blood Volume Pulse (BVP) sensors. The participants walked through common areas of the university while being exposed to sudden and loud auditory stimuli designed to induce startle responses. The aim of the study was to identify statistical and temporal features of the GSR and BVP signals that are robust to motion artifacts (MAs) and feasible for real-time detection of startle events in vulnerable populations who rely on mobility aids. The smart cane recorded GSR signals and their tonic and phasic components, as well as BVP signals, while the Empatica EmbracePlus device was used as a motion artifacts free reference system. Preprocessing included filtering, downsampling, and extraction of windows corresponding to startle and non-startle events. Features were calculated for each window and used to train multiple machine learning models.

The structure of the dataset is discussed later.  All participants provided written informed consent both to take part in the experiment and to allow their anonymized data to be publicly shared for research purposes. Furthermore, the experiment was approved by the Ethical Committee of the Universidad de Málaga (reference 46-2024-H).

 

Folder Structure



recorded_signals: Contains the signals recorded during the experiment from both the smart cane and the reference Empatica device. The signals have been preprocessed as described in Section III, Materials and Methods.

features_data: Contains the data from all 10 trials for the proposed features of the selected participants (i.e., those who exhibited a startle response following the auditory stimulus). The data are organized hierarchically, combining different low-pass filter cutoff frequencies for the GSR/phasic signals (0.45 Hz and 1 Hz) and different window lengths (5, 10, and 15 seconds).

classification_data: For each of the 10 trials, this folder contains the corresponding datasets split into training and test sets. These splits were used to train machine learning models with 5-fold cross-validation. The trained models for each trial are also included, saved in .mat format. All models were created and trained using MATLAB Deep Learning Toolbox, version 25.2 (R2025b).


 

Contact Information

For any questions or further information regarding this dataset, please contact fvidal@uma.es and atrujilloleon@uma.es.
DOI: 10.17026/ar/etnsyd
title: PAN-00177505 - copper alloy nail with a hemispherical head

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00177505&lt;/p&gt;
description: Modified: 2025-11-03T16:17:52+01:00
DOI: 10.21335/nmdc-1011340659
title: Collection of inorganic nutrient, chlorophyll a and phaeopigments data from Svalbard coastal waters collected from a citizen science project in summers of 2018-2023

description: This is a collection of nutrient (silicate, phosphate, nitrite and nitrite + nitrate) and pigment (chlorophyll a and phaeopigments) data from coastal waters throughout the Svalbard archipelago collected onboard vessels of opportunity in the summers of 2018-2023. In 2018, 2019, 2022 and 2023, seawater samples were collected by graduate students from the University Centre in Svalbard (UNIS) onboard expedition cruise vessels circumnavigating Svalbard for tourism. The dataset is also complemented by collections from a cruise onboard the Norwegian Coast Guard vessel KV Barentshav in 2021 at a time when the cruise industry halted due to the covid-19 pandemic. At each sampling location, seawater was collected using a Niskin bottle for nutrient and pigment analyses, typically at 15 m depth though some measurements are at other depths. This study was conducted in the frame of the project FACE-IT (The Future of Arctic Coastal Ecosystems – Identifying Transitions in Fjord Systems and Adjacent Coastal Areas). FACE-IT has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 869154.
DOI: 10.17026/ar/bjen8f
title: PAN-00182235 - soldered thimble, roulette stamp pitted

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00182235&lt;/p&gt;
description: Modified: 2025-11-06T10:45:50+01:00
DOI: 10.5281/zenodo.17961697
title: GOVERNANCE, CO-OPTION RESISTANCE & SYSTEMS EDUCATION

description: Commons-based initiatives repeatedly fail not due to lack of innovation, talent, or moral intent, but due to systemic capture that emerges once scale precedes governance. This paper argues that governance must be treated as infrastructure, not policy, and that systems thinking—particularly as articulated by Donella Meadows—provides the necessary analytical foundation for designing commons initiatives that are legible to institutions while remaining metabolically incompatible with extractive systems.

The Commons Initiative is presented as a case example of a governance-first architecture that emphasizes safety inheritance, authority decay, and co-option resistance as primary design constraints.
DOI: 10.5281/zenodo.17961696
title: GOVERNANCE, CO-OPTION RESISTANCE & SYSTEMS EDUCATION

description: Commons-based initiatives repeatedly fail not due to lack of innovation, talent, or moral intent, but due to systemic capture that emerges once scale precedes governance. This paper argues that governance must be treated as infrastructure, not policy, and that systems thinking—particularly as articulated by Donella Meadows—provides the necessary analytical foundation for designing commons initiatives that are legible to institutions while remaining metabolically incompatible with extractive systems.

The Commons Initiative is presented as a case example of a governance-first architecture that emphasizes safety inheritance, authority decay, and co-option resistance as primary design constraints.
DOI: 10.5281/zenodo.17961607
title: ppipelin/spectralon: 0.0

description: In-plane and out-of-plane measurement of the Spectralon spectral BRDF for sensor and light source calibration
DOI: 10.5281/zenodo.17961608
title: ppipelin/spectralon: 0.0

description: In-plane and out-of-plane measurement of the Spectralon spectral BRDF for sensor and light source calibration
DOI: 10.17026/ar/vwjovh
title: PAN-00180073 - tobacco pipe (pipe clay)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00180073&lt;/p&gt;
description: Modified: 2025-09-29T15:22:19+02:00
DOI: 10.34740/kaggle/dsv/14191940
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17961733
title: Compensation and colonization offset the diversity-loss impact over time

description: Understanding the long-term impacts of biodiversity loss on ecosystem functioning is a major challenge in ecology. While studies suggest that biodiversity loss exerts increasingly negative impacts over time, it is unclear whether this pattern, observed in artificial assemblages, applies to natural ecosystems. Here, we report findings from a 16-year plant functional group (PFG) removal experiment in the Inner Mongolia grassland, where four levels of PFG richness were established through targeted removals from 2006 to 2009, followed by natural recolonization from 2010 onward. We found that the initially positive biodiversity-productivity relationship (BPR) gradually flattened over time, indicating that the negative impacts of diversity loss diminished. This temporal shift of BPRs was co-regulated by abundance, compensation, and colonization effects, with their relative contributions varying over time. Notably, when the compensatory growth of remaining species and colonization of new species offset productivity decline caused by species removal, the adverse impacts of diversity loss were mitigated. These findings underscore the need to incorporate compensation and colonization dynamics when predicting the long-term ecosystem consequences of biodiversity loss.
DOI: 10.17026/ar/flmvcf
title: PAN-00177763 - multipartite belt fastening with plate H

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00177763&lt;/p&gt;
description: Modified: 2025-08-06T14:22:21+02:00
DOI: 10.25909/5491774
title: Review of Australian Research on Older People from Culturally and Linguistically Diverse Backgrounds 2015

description: The 2011 Australian Census showed that over 1.34 million Australians aged over 50 were born overseas in a non-English speaking country. This represents almost 20% of all Australians in that age group. Australian research on older people from culturally and linguistically diverse (CALD) backgrounds has been sporadic. Anecdotal evidence from service providers who work with older people from CALD backgrounds has shown that there are substantial barriers to accessing services, and there is a lack of understanding about providing culturally sensitive care.<br><br>There is a clear need for further research to help shape future policy and practice to meet the needs of the growing number and diversity of older people from CALD backgrounds. In response, the Federation of Ethnic Communities’ Councils of Australia (FECCA) commissioned the Australian Population and Migration Research Centre, University of Adelaide, to review the Australian research on older people from CALD backgrounds. The aims of the review were to identify the existing research evidence base about older CALD Australians and to identify gaps in the research, covering four broad topic areas:<br> - older people from CALD backgrounds in general;<br> - older people from CALD backgrounds with dementia;<br> - ageing and mental health issues for people from CALD backgrounds; and<br> - CALD carers and carers of older people from CALD backgrounds.<br><br>The project was overseen by FECCA’s project advisory committee, including representatives from national peak bodies, the aged care service industry, government agencies and academic institutions. Material for the review was identified through a search of relevant literature databases, as well as calls for input from service providers and researchers working in the aged care sector. A total of 465 items were included in the review database after applying inclusion and exclusion criteria to all identified items.