cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5704852
title: Global canopy top height estimates from GEDI LIDAR waveforms for 2019

description: Canopy top height (RH98) is estimated from GEDI L1B waveforms globally between 51.6° N & S. The map is based on the first four months of L1B Version 1 data (April-July 2019). The sparse footprint level predictions are averaged at 0.5 degree resolution (approx. 55 km raster cells at the equator) to obtain a dense map. We refer to the original research article below for further information, especially on how the predictions were filtered before the aggregation. The footprint level RH98 predictions are stored in hdf5 files corresponding to the orbit files of the GEDI L1B Version 1 data. The file load_pred_RH98_files.py contains more information on how to parse and load the prediction orbit files. <strong>GEDI mission website</strong>: https://gedi.umd.edu/. <strong>Citation: </strong>Use of these data require citation of this dataset and the original research article. These citations are as follows: Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2022). Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. <em>Remote Sensing of Environment</em>, <em>268</em>, 112760. Lang, Nico, Kalischek, Nikolai, Armston, John, Schindler, Konrad, Dubayah, Ralph, & Wegner, Jan Dirk. (2021). Global canopy top height estimates from GEDI LIDAR waveforms for 2019 (1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5704852
description: The project received funding from Barry Callebaut Sourcing AG, as part of a Research Project Agreement, and funding from NASA contract #NNL 15AA03C to the University of Maryland for the development and execution of the GEDI mission (Dubayah, Principal Investigator).
DOI: 10.5281/zenodo.7737869
title: Global canopy top height estimates from GEDI LIDAR waveforms for 2020

description: Canopy top height (RH98) is estimated from GEDI L1B waveforms globally between 51.6° N & S from L1B Version 1 data from April-July 2020. The footprint level RH98 predictions are stored in hdf5 files corresponding to the orbit files of the GEDI L1B Version 1 data. See also the repository for the data from April-July 2019: https://doi.org/10.5281/zenodo.5704852. This repository also contains the file load_pred_RH98_files.py with more information on how to parse and load the prediction orbit files. <strong>GEDI mission website</strong>: https://gedi.umd.edu/. <strong>Citation: </strong> Use of these data require citation of this dataset: Lang, Nico, Kalischek, Nikolai, Armston, John, Schindler, Konrad, Dubayah, Ralph, & Wegner, Jan Dirk. (2021). Global canopy top height estimates from GEDI LIDAR waveforms for 2020 (1.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7737869 Original research article: Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2022). Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. <em>Remote Sensing of Environment</em>, <em>268</em>, 112760.
description: The project received funding from Barry Callebaut Sourcing AG, as part of a Research Project Agreement, and funding from NASA contract #NNL 15AA03C to the University of Maryland for the development and execution of the GEDI mission (Dubayah, Principal Investigator).
DOI: 10.5281/zenodo.7737946
title: Filtered canopy top height estimates from GEDI LIDAR waveforms for 2019 and 2020

description: Canopy top height (RH98) is estimated from GEDI L1B waveforms globally between 51.6° N & S from L1B Version 1 data for April-July 2019 and 2020. We refer to the original research article below for further information. The footprint data were filtered with respect to predictive uncertainty and MODIS non-vegetated probability.
The unfiltered data organized in hdf5 files corresponding to the orbit files of the GEDI L1B Version 1 data is available here:
April-July 2019: https://doi.org/10.5281/zenodo.5704852
April-July 2020: https://doi.org/10.5281/zenodo.7737869
GEDI mission website: https://gedi.umd.edu/.
Citation:
Use of these data require citation of this dataset:
Lang, Nico, Kalischek, Nikolai, Armston, John, Schindler, Konrad, Dubayah, Ralph, & Wegner, Jan Dirk. (2021). Filtered canopy top height estimates from GEDI LIDAR waveforms for 2019 and 2020 (1.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7737946
Original research article:
Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2022). Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. Remote Sensing of Environment, 268, 112760.
This filtered dataset (2019 and 2020) was used to develop the global canopy height model fusing Sentinel-2 and GEDI that is presented in:
Lang, N., Jetz, W., Schindler, K., & Wegner, J. D. (2023). A high-resolution canopy height model of the Earth. Nature Ecology & Evolution, 1-12, https://doi.org/10.1038/s41559-023-02206-6
description: The project received funding from Barry Callebaut Sourcing AG, as part of a Research Project Agreement, and funding from NASA contract #NNL 15AA03C to the University of Maryland for the development and execution of the GEDI mission (Dubayah, Principal Investigator).
DOI: 10.5281/zenodo.8403730
title: Standardized Soil Moisture Anomaly Data

description: Standardized soil moisture anomaly data for publicly available soil moisture data. Code used to generate these data can be found at: 10.5281/zenodo.8247894
DOI: 10.6084/m9.figshare.24235744.v1
title: <b>Methane in two stream networks – Supplementary data</b>

description: <b>Methane in two stream networks – Supplementary data</b>
DOI: 10.6084/m9.figshare.26356342
title: Figshare repository for NCOMMS-23-38372B: <b>"Variations in plume activity reveal the dynamics of water-filled faults on Enceladus</b>" by Ondrej Soucek, Marie Behounkova, Martin Lanzendorfer, Gabriel Tobie, Gael Choblet. 2024

description: This is a Figshare repository to the manuscript "<b>Variations in plume activity reveal the dynamics of water-filled faults on Enceladus</b>" by Ondrej Soucek, Marie Behounkova, Martin Lanzendorfer, Gabriel Tobie, Gael Choblet, submitted to Nature Communications (NCOMMS-23-38372B).Manuscript abstract: After discovering a jet activity near the south pole of Saturn's moon Enceladus, the Cassini mission demonstrated the existence of a subsurface water ocean with a unique sampling opportunity through flybys. Diurnal variations in the observed brightness of the plume suggest a tidal control, although the existence and timing of two activity maxima seem to contradict stress analysis predictions. Here, we re-interpret the observed plume variability by combining a 3D global model of tidal deformation of the fractured ice shell with a 1D local model of transport processes within south-polar faults. Our model successfully predicts the observed plume's temporal variability by combining two independent vapour transport mechanisms: slip-controlled jet flow and normal-stress-controlled ambient flow. Moreover, it provides a possible explanation for the differences between the vapour and solid emission rates during the diurnal cycle and the observed fractionation of the various icy particle families. Our model prediction could be tested by future JWST observations targeted when Enceladus is at different positions on its orbit and could be used to determine the optimal strategy for plume material sampling by future space missions. <br>
DOI: 10.1594/ieda/321915
title: Raw Wide-Angle Shot Data (Sonobuoy) from the South China Sea acquired during the Vema expedition V3614 (1980)

description: This sonobuoy data set was acquired during Vema expedition V3614 conducted in 1980 (Chief Scientist: Dr. Robert Leyden). These data were acquired during multi (or single) channel seismic operations and the seismic shot time navigation file for MCS operations should be used for processing the sonobuoy data. Data files are of SEGY format and include Wide-Angle Seismic shot data that have not been processed.
DOI: 10.21227/1trw-n685
title: ICS Dataset for Smart Grid Anomaly Detection

description: The dataset comprises of several files that contain smart grid communication, namely protocols IEC 60870-104 (IEC 104) and IEC 61850 (MMS) in form of CSV traces. The traces were generated from PCAP files using IPFIX flow probe or an extraction script. CSV traces include the timestamp, IP addresses and ports of communicating devices, and selected IEC 104 and MMS headers that are interesting for security monitoring and anomaly detection. Datasets were by obtained partly by monitoring communication of real ICS devices and partly by monitoring communication of virtual ICS applications. Datasets contain both normal traffic within a few days and traffic with attack like scanning, switching, command blocking, etc.
DOI: 10.21227/e1bc-3w91
title: Modbus Dataset for ICS Anomaly Detection

description: This dataset consisting of MODBUS/TCP communication was created using the Factory.IO simulator (trial version is available). The dataset contains different scenarios that control different industrial processes. For each scenario, files are provided to capture normal communication and communication with anomalies. The purpose of the dataset is to support research and evaluation of anomaly detection methods in the field of ICS. The provided ICS operation, with the help of a simulated factory, is close to the real system and at the same time allows various errors and attacks to be demonstrated.
DOI: 10.21227/fj7s-f281
title: IEC 60870-5-104 Intrusion Detection Dataset

description: The evolution of the Industrial Internet of Things (IIoT) introduces several benefits, such as real-time monitoring, pervasive control and self-healing. However, despite the valuable services, security and privacy issues still remain given the presence of legacy and insecure communication protocols like IEC 60870-5-104. IEC 60870-5-104 is an industrial protocol widely applied in critical infrastructures, such as the smart electrical grid and industrial healthcare systems. The IEC 60870-5-104 Intrusion Detection Dataset was implemented in the context of the research paper entitled "Modeling, Detecting, and Mitigating Threats Against Industrial Healthcare Systems: A Combined Software Defined Networking and Reinforcement Learning Approach" [1], in the context of two H2020 projects: ELECTRON: rEsilient and seLf-healed EleCTRical pOwer Nanogrid (101021936) and SDN-microSENSE: SDN - microgrid reSilient Electrical eNergy SystEm (833955). This dataset includes labelled Transmission Control Protocol (TCP)/Internet Protocol (IP) network flow statistics (Common-Separated Values (CSV) format) and IEC 60870-5-104 flow statistics (CSV format) related to twelve IEC 60870-5-104 cyberattacks. In particular, the cyberattacks are related to unauthorised commands and Denial of Service (DoS) activities against IEC 60870-5-104. Moreover, the relevant Packet Capture (PCAP) files are available. The dataset can be utilised for Artificial Intelligence (AI)-based Intrusion Detection Systems (IDS), taking full advantage of Machine Learning (ML) and Deep Learning (DL).
DOI: 10.21227/s7h0-b081
title: DNP3 Intrusion Detection Dataset

description: In the digital era of the Industrial Internet of Things (IIoT), the conventional Critical Infrastructures (CIs) are transformed into smart environments with multiple benefits, such as pervasive control, self-monitoring and self-healing. However, this evolution is characterised by several cyberthreats due to the necessary presence of insecure technologies. DNP3 is an industrial communication protocol which is widely adopted in the CIs of the US. In particular, DNP3 allows the remote communication between Industrial Control Systems (ICS) and Supervisory Control and Data Acquisition (SCADA). It can support various topologies, such as Master-Slave, Multi-Drop, Hierarchical and Multiple-Server. Initially, the architectural model of DNP3 consists of three layers: (a) Application Layer, (b) Transport Layer and (c) Data Link Layer. However, DNP3 can be now incorporated into the Transmission Control Protocol/Internet Protocol (TCP/IP) stack as an application-layer protocol. However, similarly to other industrial protocols (e.g., Modbus and IEC 60870-5-104), DNP3 is characterised by severe security issues since it does not include any authentication or authorisation mechanisms. This dataset contains labelled Transmission Control Protocol (TCP) / Internet Protocol (IP) network flow statistics (Common-Separated Values - CSV format) and DNP3 flow statistics (CSV format) related to 9 DNP3 cyberattacks. These cyberattacks are focused on DNP3 unauthorised commands and Denial of Service (DoS). The network traffic data are provided through Packet Capture (PCAP) files. Consequently, this dataset can be used to implement Artificial Intelligence (AI)-powered Intrusion Detection and Prevention (IDPS) systems that rely on Machine Learning (ML) and Deep Learning (DL) techniques
DOI: 10.21424/r4w61s
title: Santa Barbara Channel HF Radar Surface Current Observations
DOI: 10.25423/cmcc/medsea_analysis_forecast_phy_006_013_eas5
title: Mediterranean Sea Analysis and Forecast (CMEMS MED-Currents, EAS5 system)
title: MEDSEA_ANALYSIS_FORECAST_PHY_006_013

description: The physical component of the Mediterranean Forecasting System (Med-Currents) is a coupled hydrodynamic-wave model implemented over the whole Mediterranean Basin. The model horizontal grid resolution is 1/24˚ (ca. 4 km) and has 141 unevenly spaced vertical levels. The hydrodynamics are supplied by the Nucleous for European Modelling of the Ocean (NEMO v3.6) while the wave component is provided by Wave Watch-III. The model solutions are corrected by a variational data assimilation scheme (3DVAR) of temperature and salinity vertical profiles and along track satellite Sea Level Anomaly observations.
DOI: 10.25850/nioz/7b.b.bg
title: Synthesis of in situ marine calcium carbonate dissolution kinetic measurements in the water column - Data

description: In this data set, we compiled all published measurements of calcium carbonate CaCO3 dissolution rates in the water column (11 studies, 752 data points). So far, published studies have not been utilised as a whole because they have not previously been compiled and harmonised into one dataset and lacked relevant ancillary variables. We add hydrographic variables (such as temperature, salinity, and carbonate system parameters) by combining World Ocean Atlas data with the neural network CANYON-B, ultimately estimating the saturation state (Ω), which for the first time allows the comparison of measured dissolution rates between the different in situ studies.
DOI: 10.48329/3saw-rz63
title: CPRD Aurum Small Area data (practice) January 2022

description: The general practice postcode linkages are available for all practices in CPRD GOLD and CPRD Aurum and use the general practice postcode which is linked via LSOA, SOA in Northern Ireland and datazone (DZ) in Scotland. The general practice postcode linkage includes several well-known area-based measures of deprivation, including the Index of Multiple Deprivation, Townsend Deprivation Index and Carstairs Index, and Rural-Urban Classification, which are available at the LSOA level for linkage to CPRD primary care data through the practice postcode. Access is provided by CPRD subject to protocol approval. Further information is available at https://www.cprd.com/linked-data.
DOI: 10.5066/p925uxor
title: Digital geologic map data for Semisopochnoi Island, Alaska

description: This dataset contains digital data that were used for the creation of a geologic map shown in Figure 3 in USGS SIR 2017-5150; Postglacial Eruptive History and Geochemistry of Semisopochnoi Volcano, Western Aleutian Islands, Alaska by Coombs, M.L. and others. The map shows the generalized geology of the island and the locations of stations occupied during field work conducted in the summer of 2005. The data are based on mapping completed during the field work, high-resolution digital imagery, and geochemical and radiometric analyses of rock and soil samples.
DOI: 10.5281/zenodo.10695442
title: Imaging Mass Cytometry analysis of CNS tissues from patients with CAR T immune effector cell-associated neurotoxicity syndrome (ICANS)

description: Imaging Mass Cytometry analysis of CNS tissues from patients with CAR T immune effector cell-associated neurotoxicity syndrome (ICANS). Single-cell segmented data per sample is desposited as csv file, image data is available as tiff files per ROI. An analysis of the data is published in the manuscript tbd.
DOI: 10.5281/zenodo.10911630
title: Data from: The characteristics of tides and their effects on the general circulation of the Mediterranean Sea

description: Data for the figures in the paper "The characteristics of tides and their effects on the general circulation of the Mediterranean Sea"
DOI: 10.5281/zenodo.11403345
title: OWRC Carbon and HABs

description: In this Ohio Water Resources Council funded collaboartion between the labs of Rachel Gabor at Ohio State University and Rachel Eveleth at Oberlin College, the seasonal succession of inorganic and organic carbon and their drivers in the Western Basin of Lake Erie was assessed. Three surveys from the mouth of the Maumee River to the Bass Islands were completed in June (R/V Erie Monitor), August (R/V Erie Monitor) and October (R/V Gibraltar III) of 2022. Particulate and dissolved organic carbon, alkalinity, pH, and dissolved inorganic carbon were measured along with temperature, conductivity, chlorophyll, oxygen, nutrients, fluorescence and Microcystin. 

All sample bottles triple rinsed and stored under appropriate conditions for analysis. Alkalinity- pH probe calibration was performed daily and standards run every 25 samples were within 5% of expected. TOC/DOC- a 6 point calbration curve and run check standards (high and low concentration) every 8 samples and blanks are run throughout. YSI- oxgyen and pH calibration completed prior to each use. Fluorescence and UV-Vis- standard instrument checks before each set of samples and then applied instrument corrections, raman-noramlize and blank subtract. FluoroProbe- recorded and averaged five stable measurements and data was normalized by the measured Chl-a concentrations. Nutrients- All analyzer runs (dissolved and total) had 8 non-zero standards and a zero concentration standard, and runs were only accepted if the R2 was >0.999.
DOI: 10.5281/zenodo.12657800
title: Anatomy of the 2022 scorching summer in the Yangtze River Basin using the SINTEX-F2 seasonal prediction system

description: The above documents are used in the article of the same name.
DOI: 10.5281/zenodo.12664100
title: In-plume and out-of-plume analysis of aerosol-cloud interactions derived from the 2014-15 Holuhraun volcanic eruption

description: This dataset contains simplified data and code to reproduce the main figures in "In-plume and out-of-plume analysis of aerosol-cloud interactions derived from the 2014-15 Holuhraun volcanic eruption", accepted for publication in Atmospheric Chemistry and Physics, 2024, same authors.
DOI: 10.5281/zenodo.4549461
title: Global Airborne Observatory: Forest Canopy Height and Carbon Stocks for Sabah, Borneo Malaysia

description: Two maps are provided from a study of the State of Sabah, in Bornean Malaysia. The maps are based on airborne light detection and ranging (lidar) data, combined with satellite-based maps of forest cover and properties, acquired in 2016. The resulting maps are: (1) top of canopy height or TCH; and (2) aboveground carbon density or ACD. Units for TCH are meters above ground. Units for ACD are Mg C per hectare. Maps are provided at 30 meter spatial resolution. See readme files for further details. Use of these data require citation of this dataset and the original journal paper that delivered the mapping method. These citations are as follows: Asner, G.P., P.G. Brodrick, C. Philipson, N.R. Vaughn, R.E. Martin, D.E. Knapp, J. Heckler, L.J. Evans, T. Jucker, B. Goossens, D.J. Stark, G. Reynolds, R. Ong, N. Renneboog, F. Kugan, and D.A. Coomes. 2017. Mapped aboveground carbon stocks to advance forest conservation and recovery in Malaysian Borneo. <em>Biological Conservation</em> 217:289-310. Asner, G.P., P.G. Brodrick, and J. Heckler. 2021. Global Airborne Observatory: Forest Canopy Height and Carbon Stocks for Sabah, Borneo Malaysia (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4549461
DOI: 10.5281/zenodo.5772272
title: Mean current velocity sections along 11°S, 5°S, 35°W, and 23°W from shipboard measurements used in "Transports and pathways of the tropical AMOC return flow from Argo data and shipboard velocity measurements"

description: This data set contains current velocity measurements used in the study "Transports and pathways of the tropical AMOC return flow from Argo data and shipboard velocity measurements“ by <em>Tuchen et al. (2022)</em> published at <em>Journal of Geophysical Research: Oceans</em>. For the meridional mean sections along 35°W and 23°W, and for the quasi-zonal sections along 11°S and 5°S, one ".mat" file is provided for each of the sections. Please note that the section along 11°S consists of a zonal part (east of 34.2°W) and a cross-shore part closer to the coast. The meridional velocities along the cross-shore part of the 11°S-section are rotated clockwise by 36° in order to derive along-shore velocities. 11°S: meridional velocity / alongshore velocity (V), neutral density (gamma_n), longitude (LON), depth (Z) 5°S: meridional velocity (V), neutral density (gamma_n), longitude (LON), depth (Z) 35°W: zonal velocity (U), neutral density (gamma_n), latitude (LAT), depth (Z) 23°W: zonal velocity (U), neutral density (gamma_n), latitude (LAT), depth (Z) Mean velocity data in the upper 10 m are replaced by the gridded mean surface current velocities at 1/4° horizontal resolution derived from satellite-tracked surface drifting buoys (<em>Laurindo et al. 2017</em>) that were horizontally interpolated to the resolution of the individual ship sections.
description: {"references": ["Laurindo, L.; Mariano, A.; Lumpkin, R. (2017): An improved near-surface velocity climatology for the global ocean from drifter observations. Deep-Sea Research Part I, 124, 73-92, https://doi.org/10.1016/j.dsr.2017.04.009", "Tuchen, F. P.; Brandt, P.; Luebbecke, J. F.; Hummels, R. (2022): Transports and Pathways of the Tropical AMOC Return Flow from Argo Data and Shipboard Velocity Measurements. Journal of Geophysical Research: Oceans, 127(2), e2021JC018115, https://doi.org/10.1029/2021JC018115"]}
DOI: 10.5281/zenodo.8293525
title: Chunchi landslide - 2021

description: This dataset includes satellite precipitation observations and optical images and airborne lidar and optical data related to the 2021 Chunchi landslide event. It also contains InSAR time-series measurements and inverted thicknesses of the landslide source.
DOI: 10.6084/m9.figshare.22827059.v1
title: CamotesROMS surface currents

description: Surface current velocity output for 2010-2015 from the CamotesROMS oceanographic model. Files are NetCDF format. The 2010-2015 file has alll data, while the other files are subsets. NEMonsoon, Northeast Monsoon (November to June, aka Habagat). SWMonsoon, Southwest Monsoon (July to October, aka Amihan). <br> The surface velocity files contain daily averages of variables "u" and "v", which are the orthogonal components of the horizontal surface velocity field relative to the domain grid's geometry. u and v are integrated on the "u" and "v" points, respectively, of the Arakawa C-grid and must be transformed (i.e., interpolated) to common points (e.g., rho points) prior to calculating speed and energetics. See the GitHub repository for additional files.
DOI: 10.6084/m9.figshare.25195445
title: Influence of the remote equatorial dynamics on the interannual variability along the northern coast of the Gulf of Guinea

description: Model data used for the paper "Influence of the remote equatorial dynamics on the interannual variability along the northern coast of the Gulf of Guinea", by S. Illig, S. Djakouré and T. Mitchodigni