cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13373477
title: Supporting material for "Benford's law as debris flow detector in seismic signals"

description: Supporting material list,

0, Source code for Random_Forest_model;

1, Random_Forest_model.pkl, trained machine learning model;

2, FiguresSI.zip, 58 debris flow events with Benford's law features, and Exp. fitting curve;

3, Table2DebrisFlowEventDetails.xlsx, details of 58 debris flow events and expentional fitting parameters.

Note, you can check our GitHub repositoryhttps://github.com/Nedasd/Benfords_law_as_mass_movements_detector.git
DOI: 10.5281/zenodo.7943211
title: Global trade data of highly hazardous chemicals after data treatment and Python codes used for error analysis and mirror analysis

description: This database includes all global trade data of the three types of highly hazaroudous chemicals listed under the Rotterdam Convention after error analysis and mirror analysis. Python codes used for error analysis and mirror analysis are also available. Corresponding authors: hongyan.zou@tjnu.edu.cn; Zhanyun.wang@empa.ch
DOI: 10.5440/1834773
title: Maps of ice wedge thermokarst pool expansion from twenty-seven circumpolar survey areas

description: This repository includes data and code to accompany the manuscript 'Topography controls variability in circumpolar permafrost thaw pond expansion' by Abolt et al. The data include satellite imagery and derived maps of thermokarst pools from twenty-seven survey areas in North America and Siberia. The code, written in MATLAB (R2021a), contains demonstrations of the workflow for generating the maps. The demonstrations include training a generalized UNet for mapping thermokarst pools using data from three survey areas, 'fine tuning' the UNet for use at a specific survey area using transfer learning, applying a trained UNet to infer thermokarst pool extent within satellite imagery, and performing histogram matching as a pre-processing step to improve satellite imagery contrast. Contains MATLAB script files and M files, TIF files, shape files, XML, Excel, TXT, and CSV files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic) was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.6084/m9.figshare.25118711.v1
title: AYB_yield_traits_GWAS-IITA.zip

description: These are 196 African yambean accessions collection SNP data. GBS SNP data and yield-traits data were generated by the Genetic Resouces Center, International Inst. of Tropical Agriculture (IITA), Ibadan, Nigeria. Yield trait data was generated using multiyear and multilocation replicated field trials at three different IITA research farms.
DOI: 10.1285/i20356609v16i1p63
title: The Configuration of a Multi-Pronged Housing Movement in Barcelona

description: The housing movement that emerged in Spanish cities during the 2007–8 global financial crisis has undergone various mutations. If at first it was led by the anti-evictions fight of the Platform for People Affected by Mortgages (PAH) and the housing groups of the 15M mobilization cycle (2011–14), the successive rent crises since 2013 and during the COVID-19 pandemic (2020–22) have given rise to new activist expressions—housing/neighborhood unions (sindicats d'habitatge / de barri) and a tenants' union—in metropolitan areas such as Barcelona. These have played a central role in housing organizing during the COVID-19 pandemic. In this article we investigate the development of the housing/neighborhood unions while understanding their relationships with other housing groups in Barcelona. We first aim to know if, how, and why they have adopted, modified, or replaced the protest repertoires used by the PAH and the tenants' union and, second, to what extent the local housing movement in Barcelona evolved into a more diverse and multi-pronged configuration. Our findings indicate significant divergences between these housing organizations but also a common and complementary field of activism that eventually proved to be resilient during the COVID-19 pandemic and beyond.
DOI: 10.15121/1893532
title: Utah FORGE: Well 16A(78)-32 2022 Stimulation Silixa Microseismic Report

description: This is the Utah FORGE well 16A(78)-32 stimulation microseismic detection and location report from Silixa LLC. The stimulation was accomplished during April, 2022.
DOI: 10.15156/bio/786369
title: UNITE general FASTA release for Fungi 2

description: This release consists of a single FASTA file: the RepS/RefS of all SHs, adopting the dynamically use of clustering thresholds whenever available. Includes global and 97% singletons.
DOI: 10.1594/pangaea.922705
title: International database of Glacially Induced Faults

description: We provide a GIS data inventory of confirmed and proposed glacially-induced faults. Stresses, perturbated as a response to the advance and retreat of continental ice sheets and glaciers, can reactivate pre-existing faults. Previously referred to as "PostGlacial Faults" (PGFs), these faults are now called "Glacially-Induced Faults" (GIFs). More than a dozen kilometre-long and several metre-high fault-scarps have been identified in northern Fennoscandia since extensive investigations started in the 1960s and 1970s. Similar faults, but by far not of such dimensions, have also been described in eastern Canada. In other formerly glaciated areas in Europe, e.g., the southern parts of Sweden, Norway and Finland, the southern Baltic Sea, Denmark, northern Germany and Poland, and the Baltic countries, GIFs have rarely been observed and discussed in the literature. However, the number of studies with reliable field evidence for proposing such faults has increased considerably in recent years. The estimated fault movements are of minor magnitude, though, as compared with those in northern Fennoscandia. The database contains the confirmed GIFs in northern Fennoscandia including north-western Russia. The geological surveys in Norway, Sweden and Finland analysed recent LiDAR (Light Detection And Ranging) data from their countries, which helped uncover new faults and revise the geometry of the existing ones. In addition, we include several proposed GIFs outside this area, e.g., in southern Sweden, Denmark and Germany. Ongoing work suggests the occurrence of GIFs in Iceland, Canada and Antarctica. The database will be continually updated, considering new results. A summarized description of the GIF in this database is given in: Steffen, H., Olesen, O., and Sutinen, R. (2021). Glacially-Triggered Faulting. Cambridge University Press, Cambridge, UK, ca. 450 pp., expected publication February 2021.
DOI: 10.17632/yz6rvx3zvt.1
title: High Resolution Hyperspectral Raman images from Nthy3-1, FTC133 and RO82W-1 cell lines - Commercial device system (Nanophoton, RAMAN-11)

description: Contains 70 Raw Hyperspectral Raman images from Nthyori3-1, FTC133 and RO82W-1 cell lines, measured with a commercial device system (Nanophoton, RAMAN-11). One image data consist of a three dimensional matrix, the first two axis corresponding to the pixel position and the third axis being the Raman intensity spectrum at that pixel. One image contains roughly 80000 spectra with 1000 wavenumbers each, in the range of 700 - 3000 cm-1. Basic preprocessing of the image, including wavenumber calibration and cosmic ray correction, has already been applied.

Each .mat file contain two dictionaries:
- origimagedata: Raw data 3darray of shape of (Width, Wavenumbers, Height)
- wavenumber: 1-d array corresponding to the wavenumber values

The Co_culture folder also contains brightfield and DNA/SV40 fluorescence image, useful to distinguish FTC cells from NT cells.
DOI: 10.18157/qogstdjan23
title: The Quality of Government Standard Dataset, version Jan23
DOI: 10.24432/c52g70
title: PEMS-SF
DOI: 10.24432/c5402w
title: Cervical Cancer Behavior Risk
DOI: 10.25845/5b4eb0f9bb848
title: Sea Temperature Observing System (SeaTemps Temperature Logger Program)
DOI: 10.25845/5c09bf93f315d
title: Northern Australia Automated Marine Weather And Oceanographic Stations
DOI: 10.48505/nims.3872
title: SuperCon RDF

description: "SuperCon RDF" is an RDF version of the datasheets published in this collection based on the SuperCon Ontology (https://doi.org/10.48505/nims.3873). Please refer to the forthcoming paper for details on its use. Please contact us for details on the schema and the use of the data as a knowledge base. We hope that MDR SuperCon RDF will lead to discoveries that will lead to important breakthroughs in environmental and energy issues. We also welcome its use for educational and other purposes. Please follow MDR's Terms of Use and properly identify the source of this data when using it: (Example of statement) This study used the MDR SuperCon RDF (https://doi.org/10.48505/nims.3872*), a semantic structuring data for superconducting materials, which is made public by the National Institute for Materials Science (NIMS). * A doi is issued each time the RDF is revised. Please state the version you actually used.
DOI: 10.48690/1524207
title: LandScan Global 2011

description: Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. By modeling an ambient population, LandScan Global captures the full potential activity space of people throughout the course of the day and night rather than just a residential location.
DOI: 10.5066/p98obols
title: USGS Land Treatment Digital Library Data Release: A centralized archive for land treatment tabular and spatial data (ver. 7.0, September 2024)

description: Across the country, public land managers make hundreds of decisions each year that influence landscapes and ecosystems within the lands they manage. Many of these decisions involve vegetation manipulations known as land treatments. Land treatments include activities such as removal or alteration of plant biomass, seeding burned areas, and herbicide applications. Data on these land treatments historically have been stored at local offices and gathering information across large spatial areas was difficult. These valuable data needed to be centralized and stored for Federal agencies involved in land treatments because these data are useful to land managers for policy and management and to scientists for developing sampling designs and studies. In 2008, the Land Treatment Digital Library (LTDL) was created by the U.S. Geological Survey (USGS) to catalog information about land treatments on federal lands in the western United States. The flexible framework of the library allows for the storage of a wide variety of data in different formats. The library contains data in text, tabular, spatial, and image formats. Specific examples include project plans and implementation reports, monitoring data, spatial data files from geographic information systems, digitized paper maps, and digital images of land treatments. The data are entered by USGS employees and are accessible through a searchable website. The LTDL can be used to respond to information requests, conduct analyses and other forms of information syntheses, produce maps, and generate reports for federal managers, scientists, and other authorized users. This data release includes the most up to date data available in the LTDL at the time of release. However, most field offices were last visited to collect their comprehensive treatment data between 2011-2014. Users should be aware that while treatments may exist in some field offices past the date of last collection, it is not a comprehensive representation of land treatments that have occurred on BLM lands during the most recent time span. Offices in southern Idaho and eastern Oregon were revisited in the winter of 2019 and the data collected during those visits are available in this release. Offices in northern Nevada were visited in 2023 and the data collected during those visits are available in this release. Several offices in southern Nevada, Utah, and Wyoming were visited in 2024, and some of the data collected during those visits are available in this release. All available post wildfire emergency stabilization and rehabilitation treatments are included for fires up to 2023.
DOI: 10.5067/modis/mod09.061
title: MODIS/Terra Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, 1km
DOI: 10.5281/zenodo.10649167
title: Glacially induced stresses and strains in Canada

description: Dataset of finite element (FE) model input files for software Abaqus and rebound stress and strain tensor results in 2.5 km depth.

FE_models.zip contains Abaqus input files for 7 different FE models of glacial isostatic adjustment (GIA) in Canada. The GIA models use ice model f0050rn001_2022 with 147 time steps, which is a special version of the well known ICE-6G_C GIA-based reconstruction (Argus et al., 2014; Peltier et al., 2015). It combines University of Toronto Glacial Systems Model simulations of the second generation (2.0) with updated ice physics and simulation of surface hydrology (lakes and rivers) (Stuhne & Peltier, 2016, 2017). The loading files also contain load changes from sea level variations corresponding to global ice load changes on the selected Earth model. There are 7 Earth models with different rheologic structure. Details can be found in the corresponding manuscript (Steffen & Steffen, 2024).

results.tar.gz contains the rebound stress and strain tensors in 2.5 km depth in Canada for each time step of a GIA model, resulting in 1029 (147*7) files named "{earth_model_name}_stress_strain_{time_in_1000_years_before_present}.dat". The files contain both the internal coordinates of the model and their corresponding longitude and latitude. Note that the grid is partly irregular as there are model parts which have a finer mesh. The format of the files is:x-coordinate of model in km, y-coordinate of model in km, longitude in degree E, latitude in degree N, GIA stress tensor (S11, S22, S33, S12, S13, S23) in MPa and strain tensor (E11, E22, E33, E12, E13, E23) in strain.
DOI: 10.5281/zenodo.10728886
title: Catalog of seismicity produced in "Rift zone architecture and inflation-driven seismicity of Mauna Loa volcano"

description: Catalog of seismicity at Mauna Loa spanning 2011-2023. The description of this catalog can be found in the manuscript "Rift zone architecture and inflation-driven seismicity of Mauna Loa volcano" by Wilding and Ross, submitted to JGR: Solid Earth.
DOI: 10.5281/zenodo.10976450
title: Dataset for "Time-Resolved Trigger Processes Leading to the Plinian Eruptions at Sakurajima Volcano, Japan"

description: Dataset 1: Core compositions of plagioclase phenocrystsDataset 2: Core and rim compositions of orthopyroxene phenocrystsDataset 3: Core and rim compositions of clinopyroxene phenocrystsDataset 4: Core compositions of olivine phenocrysts in the 1914–1915 lavaDataset 5: Chemical compositions of microlite-bearing groundmass glass of the 1914 Plinian pumiceDataset 6: Core and rim compositions of magnetite phenocrystsDataset 7: Compositions of magnetite inclusion and hosting plagioclaseDataset 8: Chemical compositions of magnetite microlites in the 1914 Plinian pumices
DOI: 10.5281/zenodo.11034330
title: Western Canada Crustal Model 2022

description: We present a new model of Moho depth and Vp/Vs in western Canada (i.e., WCANM22) by integrating existing seismic constraints from active source experiments (e.g., Lithoprobe) and new measurements from passive teleseismic data (i.e., receiver functions). Crustal properties determined from various data types are reconciled by considering the spatial coherence between sampling points using the kriging interpolation. All the receiver functions we calculated are also included in this repository.
DOI: 10.5281/zenodo.11243655
title: r.avaflow package for fragmentation

description: Simulation package for fragmenting rock avalanches, including the relevant r.avaflow code and a start script.
DOI: 10.5281/zenodo.11577689
title: Dense afforestation reduces plant-pollinator network diversity and persistence
DOI: 10.5281/zenodo.12626942
title: Parameters and results of 2D Tonga subduction models

description: This data set is the model input parameters and output files of Case 1 in "Geodynamic evolution of the Lau Basin" and "Modeling subduction with extremely fast trench retreat" by Peng and Stegman. Please refer to the README file for details.
DOI: 10.5281/zenodo.13237071
title: Tracing the oxidizing state and element-mobilizing fluids in continental subduction zones:Insights from the granitic melt-eclogite interface
DOI: 10.5281/zenodo.13500791
title: Data for "Segregation-induced flow transitions in rock-ice avalanches"

description: This is raw data and the codes needed to replicate all the graphs in the manuscript entitled "Segregation-induced flow transitions in rock-ice avalanche".
DOI: 10.5281/zenodo.5700918
title: Svalbox-DOM_2020-0015_Lagmannstoppen-East

description: <b>Model description: </b><br>3D Model of Lagmannstoppen with the folded Alkhornet Formation.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on Svalbox.no:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5440/1834771
title: A neural network for cloud masking in WorldView satellite imagery

description: This repository includes the cloud detection algorithm used in the manuscript 'Topography controls variability in circumpolar permafrost thaw pond expansion' by Abolt et al. It also includes a demonstration of the algorithm's use at a survey area in northern Alaska and a demonstration of training the algorithm. This dataset includes .pt place-text, .py python, .tif image, .ipynb Jupyter notebook, and .txt text files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic) was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.6084/m9.figshare.25101695
title: Dataset of raw receiver functions and synthetic receiver functions for the robustness test

description: Dataset of raw receiver functions and synthetic receiver functions for the robustness test of submitted paper "Fine Shallow Structures of Binchuan Basin Inverted from Receiver Functions and Implications for Basin Evolution". The data format is "Seismic Analysis Code (SAC)"  format.
DOI: 10.6084/m9.figshare.27284076
title: Supplementary Material for: Feasibility of telementoring during robot-assisted minimally invasive esophagectomy.

description: Introduction

Telementoring could increase the quality, reduce the time, and increase cost efficiency of the proctoring program for robot-assisted minimally invasive esophagectomy (RAMIE). However, feasibility is unclear as no studies assessed telementoring for RAMIE. 

Methods

The feasibility of telementoring was assessed during the thoracic part of RAMIE procedures in three high-volume centers. RAMIEs were performed by trained surgeons, proctored by two experts. The primary outcome was impact of the technology on conveying and understanding instructions.
 
Results

Between December 2021 and December 2022, nine RAMIE procedures were proctored using the telementoring. Overall quality of the telementoring technique was scored good to excellent (median score: good). The vast majority of the 24 proctor instructions were conveyed and understood fluently (n=21, 96%). Most proctor instructions were aimed at improving surgical exposure (n=9, 38%). The major point of criticism was the use of the audio as the communication through the headset of the performing surgeon was not accessible by the complete team. 

Conclusion

Telementoring is deemed feasible for proctoring trained RAMIE surgeons after onsite proctoring. Technical improvements with regard to audio technology are warranted for broad implementation, especially in earlier training settings. The role of telementoring in the training pathway of learning surgeons needs clinical validation. 

Study registration number: 21/322
Date of registration: 14-5-2021