cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/d8c66670-57ad-44fc-8fef-942a46734ecb
title: Year-round Arctic sea ice thickness from CryoSat-2 Baseline-D Level 1b observations 2010-2020

description: This dataset presents biweekly gridded sea ice thickness and uncertainty for the Arctic derived from the European Space Agency's satellite CryoSat-2. An associated 'developer's product' also includes intermediate parameters used or output in the sea ice thickness processing chain. Data are provided as biweekly grids with a resolution of 80 km, mapped onto a Northern Polar Stereographic Grid, covering the Arctic region north of 50 degrees latitude, for all months of the year between October 2010 and July 2020. CryoSat-2 Level 1b Baseline-D observed radar waveforms have been retracked using two different approaches, one for the 'cold season' months of October-April and the second for 'melting season' months of May-September. The cold season retracking algorithm uses a numerical model for the SAR altimeter backscattered echo from snow-covered sea ice presented in Landy et al. (2019), which offers a physical treatment of the effect of ice surface roughness on retracked ice and ocean elevations. The method for optimizing echo model fits to observed CryoSat-2 waveforms, retracking waveforms, classifying returns, and deriving sea ice radar freeboard are detailed in Landy et al. (2020). The melting season retracking algorithm uses the SAMOSA+ analytical echo model with optimization to observed CryoSat-2 waveforms through the SARvatore (SAR Versatile Altimetric Toolkit for Ocean Research and Exploitation) service available through ESA Grid Processing on Demand (GPOD). The method for classifying radar returns and deriving sea ice radar freeboard in the melting season are detailed in Dawson et al. (2022). The melting season sea ice radar freeboards require a correction for an electromagnetic range bias, as described in Landy et al. (2022). After applying the correction, year-round freeboards are converted to sea ice thickness using auxiliary satellite observations of the sea ice concentration and type, as well as snow depth and density estimates from a Lagrangian snow evolution scheme: SnowModel-LG (Stroeve et al., 2020; Liston et al., 2020). The sea ice thickness uncertainties have been estimated based on methods described in Landy et al. (2022). NetCDF files contain detailed descriptions of each parameter. Funding was provided by the NERC PRE-MELT grant NE/T000546/1 and the ESA Living Planet Fellowship Arctic-SummIT grant ESA/4000125582/18/I-NS.
description: The data is derived from CryoSat-2 Baseline-D Level 1b waveform observations over the Arctic, north of 50 degrees latitude, for 2010 to 2020.
description: European Space Agency's CryoSat-2.
description: NetCDF files were produced from the final gridded satellite observations and contain all associated metadata, or details about auxiliary datasets used in the processor. No smoothing or averaging was performed on the 80-km gridded sea ice thickness data. NetCDF files contain detailed descriptions of each derived parameter, both in the main sea ice thickness and developer's products.
DOI: 10.5439/1025200
title: ARM: High Spectral Resolution Lidar

description: High Spectral Resolution Lidar
DOI: 10.6073/pasta/59396e2b8d291badcfb140425e1b3a38
title: Stream water chemistry data for Albion site, 1982 - ongoing.

description: ABSTRACT.This is a summary of major ion concentrations for stream water samples collected at the Albion site, at the lower end of Green Lakes Valley at the road crossing (culvert) at the Albion camp.
DOI: 10.6084/m9.figshare.28238987
title: Supplementary Material for: Decreased Quality of Life in patients who desire Body Contouring Surgery after Bariatric Metabolic Surgery: A multicenter longitudinal analysis

description: Introduction: Excess skin after bariatric metabolic surgery may negatively impact quality of life. Nevertheless, not every eligible patient undergoes body contouring surgery, which may be explained by differences in quality of life. The objective of this study was to assess the differences in quality of life between patients with and without a desire for body contouring surgery after bariatric metabolic surgery, and to identify predictive factors that contribute to this desire. 
Methods: Patients completed the BODY-Q and a question regarding any desire for body contouring surgery, 6 months and yearly after bariatric metabolic surgery. BODY-Q outcomes were compared between patients with and without a desire for body contouring surgery and corrected for excess skin.
Results: A total of 380 patients who completed 3 years of follow-up were included. Of these patients, 69.5% desired body contouring surgery. Patients who did not desire body contouring surgery demonstrated significantly higher quality of life scores across all domains at every follow-up moment compared to patients who desired body contouring surgery (except physical functioning at 3 years). These associations were largely explained by the amount and burden of excess skin. Younger age was the only significant predictor for desiring body contouring surgery when correcting for excess skin. 
Conclusion: Patients with a desire for body contouring surgery demonstrated significantly lower quality of life compared to patients without a desire due to a high burden of excess skin, which emphasizes the need for effective treatments aiming to improve quality of life such as body contouring surgery.
DOI: 10.6084/m9.figshare.28239185
title: Supplementary Material for: Acinetobacter baumannii clinical isolates resist complement-mediated lysis by inhibiting the complement cascade and improperly depositing MAC.

description: Acinetobacter baumannii is a gram-negative opportunistic bacterium that causes life-threatening infections in immunocompromised hosts. The World Health Organization (WHO) recognizes the high mortality and increasing antimicrobial resistance of A. baumannii and calls for new treatment options. The complement system is a critical mechanism of innate immunity that protects the human body from bacterial infections. Complement activation leads to the deposition of the membrane attack complex (MAC), which can directly lyse gram-negative bacteria. However, A. baumannii has developed evasion mechanisms to protect itself from complement. Here, we examined clinical isolates of A. baumannii and found 11 isolates with MAC deposition and 5 isolates without deposition. Trypsinization of MAC-positive isolates significantly reduced MAC, indicating incorrect insertion, consistent with a lack of lysis of these strains. MAC-negative isolates inhibited alternative pathway activation and were significantly more serum-resistant. These strains were also more virulent in a Galleria mellonella infection model. Whole genome sequencing revealed that MAC-negative isolates carried more virulence genes, and both MAC-negative and MAC-positive A. baumannii significantly differed in capsule type. Importantly, a correlation was observed between complement inhibition and capsule type (e.g., capsule locus KL171) of MAC-negative bacteria, while the capsule type (e.g., KL230) of MAC-positive A. baumannii was associated with increased sensitivity to MAC-mediated lysis. Thus, our findings suggest a relationship between capsule type, complement resistance, and host virulence in A. baumannii.
DOI: 10.6096/mistrals-hymex.1598
title: Comparison of three automated flood inundation mapping methods in a context of flash floods

description: Although flash floods observed in headwater catchments often cause catastrophic material and human damage, the knowledge of threatened areas and the prediction of potential impacts of these floods have still to be improved. Considering the large number of small watercourses possibly affected, the use of automated methods for flood inundation mapping at a regional scale should be of great help for this purpose. A comparison of three mapping methods based either on the Height Above Nearest Drainage concept (HAND/MS), or on 1D/2D shallow water equations(caRtino 1D and Floodos 2D), is presented herein. The common features of the three approaches are their high level of automation, their application based on a high-resolution (5m) DTM, and their reasonable computation times.<br />
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Observing strategy: <br />
The mapping methods are used to estimate the flooded areas of three major flash floods observed during the last ten years in South-Eastern France: the 15th of June 2010 flood on the Argens river and its tributaries (585 km of river reaches), the 3rd of October 2015 flood on small coastal rivers of the French Riviera (131 km of river reaches) and the 15th of October 2018 floods on the Aude river and its tributaries (561 km of river reaches). Hydraulic simulations are run in steady-state regime, based on peak discharges estimated using a rainfall-runoff model preliminary adjusted for each event. The simulation results are compared with the reported flood extent maps and the high water level marks.
DOI: 10.7910/dvn/jt6gfr/fz5u5q
title: Big Allied and Dangerous Insurgency Crime Codebook.pdf
DOI: 10.14291/tccon.ggg2014.nicosia01.r0
title: TCCON data from Nicosia, Cyprus (CY), Release GGG2014.R0

description: The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Nicosia, Cyprus (CY).
description: <br>Unique Views: 59<br>Unique Downloads: 3<br> between December 03, 2020 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.14768/de241ea7-4c3d-4b56-8140-5de6940903be
title: Data plotted in Kageyama et al., 2021 (Climate of the Past, https://doi.org/10.5194/cp-2019-169)

description: This data set allows to plot all figures published in Kageyama et al., Climate of the Past, 2021. The abstract of this paper is: The Last Glacial Maximum (LGM, ~21,000 years ago) has been a major focus for evaluating how well state-of-the-art climate models simulate climate changes as large as those expected in the future using paleoclimate reconstructions. A new generation of climate models have been used to generate LGM simulations as part of the Palaeoclimate Modelling Intercomparison Project (PMIP) contribution to the Coupled Model Intercomparison Project (CMIP). Here we provide a preliminary analysis and evaluation of the results of these LGM experiments (PMIP4, most of which PMIP4-CMIP6) and compare them with the previous generation of simulations (PMIP3, most of which PMIP3-CMIP5). We show that the global averages of the PMIP4 simulations span a larger range in terms of mean annual surface air temperature and mean annual precipitation, compared to the PMIP3-CMIP5 simulations, with some PMIP4 simulations reaching a globally colder and drier state. However, the multi-model global cooling average is similar for the PMIP4 and PMIP3 ensembles, while the multi-model PMIP4 mean annual precipitation average is drier than the PMIP3 one. There are important differences in both atmospheric and ocean circulation between the two sets of experiments, with the northern and southern jet streams being more poleward and the changes in the Atlantic Meridional Overturning Circulation being less pronounced in the PMIP4-CMIP6 simulations than in the PMIP3-CMIP5 simulations. Changes in simulated precipitation patterns are influenced by both temperature and circulation changes. Differences in simulated climate between individual models remain large. Therefore, although there are differences in the average behaviour across the two ensembles, the new simulation results are not fundamentally different from the PMIP3-CMIP5 results. Evaluation of large-scale climate features, such as land-sea contrast and polar amplification, confirms that the models capture these well and within the uncertainty of the palaeoclimate reconstructions. Nevertheless, regional climate changes are less well simulated: the models underestimate extratropical cooling, particularly in winter, and precipitation changes. These results point to the utility of using paleoclimate simulations to understand the mechanisms of climate change and evaluate model performance.
DOI: 10.25747/yta9-gd33
title: Daily profiles (2020) of load of a electricity distribution network (26 nodes) from Croatia – ATTEST project
DOI: 10.3886/icpsr05007.v1
title: Military Defense Expenditure Data, 1948-1970
title: Version 1

description: This collection contains data for military defense expenditures for 123 countries. The data are either in United States dollars or national currency with a monetary exchange rate provided.
description: Datasets: 
 
 DS1: Dataset
description: A total of 121 countries.
DOI: 10.5066/p9tu80ig
title: Landsat 7 Enhanced Thematic Mapper Plus Level-1, Collection 2
DOI: 10.5066/p9v0u1nf
title: Isotope, organic carbon, and biostratigraphic data for the Hope Plantation (BE-110) and Smith Elementary School (CR-675) cores, North Carolina

description: Isotopic, geochemical, and calcareous nannofossil data for the Hope Plantation and Smith Elementary School cores
DOI: 10.5067/caliop/calipso/cal_iir_l2_track-standard-v4-20
title: CALIPSO Infrared Imaging Radiometer Level 2 Track data, Version 4-20
DOI: 10.5067/iir/calipso/l2_track-beta-v3-01
title: CALIPSO Imaging Infrared Radiometer Level 2 Track data, Beta V3-01
DOI: 10.5067/modis/mod10a1f.061
title: MODIS/Terra CGF Snow Cover Daily L3 Global 500m SIN Grid, Version 61
DOI: 10.5067/viirs/vnp10a1f.001
title: VIIRS/NPP CGF Snow Cover Daily L3 Global 375m SIN Grid, Version 1
DOI: 10.5281/zenodo.11043642
title: Domainome 1.0: Site-saturation mutagenesis of 500 human protein domains

description: Large-scale analysis of the effects of mutations on the cellular abundance of 500 human protein domains.

v5 changes: Figure and Supplementary Table name changes.
DOI: 10.5281/zenodo.4399670
title: Energy consumption and renewable generation data of 5 aggregators - 15 minute resolution (13 bus grid)

description: Type: Energy consumption and renewable generation data Period of data collection: 19-03-2019 to 25-03-2019 (15-minute 672 periods) Resolution: 15 minutes Network: 13-bus MV grid Aggregator list: Aggregator 1: Shopping Mall; Hospital; Fire Station Aggregator 2: 15 houses Aggregator 3: 7 Office buildings Aggregator 4: Wind, PV Aggregator 5: Slow and fast-charging stations of electric vehicles Further data: Market prices 2019 summer and winter Wind generation curve Data obtained from CENERGETIC project (http://www.gecad.isep.ipp.pt/CENERGETIC/) National Funds through the FCT—Portuguese Foundation for Science and Technology, under Project PTDC/EEI-EEE/28983/2017 (CENERGETIC), CEECIND/02814/2017, UIDB/00760/2020.
description: Data obtained from CENERGETIC project. National Funds through the FCT—Portuguese Foundation for Science and Technology, under Project PTDC/EEI-EEE/28983/2017 (CENERGETIC), CEECIND/02814/2017, UIDB/00760/2020.
DOI: 10.5281/zenodo.4660412
title: Focal mechanisms of the Southeastern Alps and surroundings

description: This is a focal mechanism dataset of 772 earthquakes that occurred in the southeastern Alps and surrounding areas ( latitude 45°N-47.5°N and longitude 10°E-15°E) from 1928 to 2019 with 1.8 ≤ M ≤ 6.5. To provide a comprehensive set of revised information, we collected and revised the focal mechanisms previously published in the literature (883 focal mechanism solutions). Furthermore, depending on the data quality and availability, we computed new focal mechanisms by first arrival polarity inversion (for 108 events) or seismic moment tensor (for 46 events). For each earthquake, we report all the available focal mechanisms and suggest a preferred solution for users who need expeditious information. The methodologies and data used to obtain the dataset and to outline its main characteristics are described in Saraò, A., Sugan, M., Bressan, G., Renner, G., and Restivo, A.: A focal mechanism catalogue of earthquakes that occurred in the southeastern Alps and surrounding areas from 1928–2019, Earth Syst. Sci. Data, 13, 2245–2258, https://doi.org/10.5194/essd-13-2245-2021, 2021.
DOI: 10.5281/zenodo.6467673
title: Drought increased since the mid-20th century in the northern South American Altiplano revealed by a 389-year precipitation record

description: In this study, we develop the first tree-ring based precipitation reconstruction for the northern South American Altiplano back to 1625 CE. We established the significance of our reconstruction by using it to determine that the occurrence rate of extreme dry events together with a shift in mean dry conditions for the late 20th-beginning 21st century is unprecedented in the past 389 years. Our reconstruction provides also valuable information about the ENSO influences in the local precipitation.
description: Archivo assets_1_crnreglags_PCs.xls: Polylepis tarapacana composite tree-ring chronology and the first three principal components used as predictors in the reconstruction model Archivo assets_2_Rec_instr_precipitation_L5O.xls: Instrumental and reconstructed precipitation for the northern South American Altiplano.
DOI: 10.5281/zenodo.6632083
title: Location, biophysical and agronomic parameters for croplands in Northern Ghana

description: We present a dataset describing (i) crop locations, (ii) biophysical parameters and (iii) crop yield and biomass was collected in 2020 and 2021 in Ghana, mostly focusing on maize in northern Ghana. The dataset contains repeated multiple measurements of leaf area index (LAI), leaf chlorophyll concentration over a large number of maize fields, as well as associated grain yield, biomass and polygons that delineate the fields.
DOI: 10.5440/1126515
title: Subsurface Temperature, Moisture, Thermal Conductivity and Heat Flux, Area A, B, C, and D, Utqiagvik (Barrow), Alaska, Ongoing from 2012

description: Subsurface soil monitoring stations are located across each of the four NGEE Arctic, Utqiagvik (Barrow), Alaska, intensive study Areas: (A) low-centered polygons with well-defined troughs, (B) high-centered polygons, (C) flat-centered or transitional polygons, and (D) inundated low-centered polygons with no troughs. Two data products are being generated - both with high temporal (hourly) and spatial resolution (within polygon and with depth): (1) soil profile temperature measurements and (2) active layer and permafrost temperature and moisture measurements from instrumented soil pits. This data package currently contains seventy-nine .csv files, one .xlsx (with complimentary .csv file), and one .pdf. Data from September 2012 through August 2022 are available as annual files. Additional data will be added annually after quality checks have been completed. These data are being collected to better understand the thermal dynamics of the active layer and permafrost. Together this information serves as calibration and evaluation data for fine-scale simulations of polygons. 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: 10.17632/4t38tvb4yn.1
title: Rock slope monitoring data

description: Environmental and crack meter data to 27.1.2021
DOI: 10.5281/zenodo.7510861
title: Snow cover from spectral mixture analysis algorithm SCAG: OLI and MODIS

description: This data is snow cover fraction from the Snow Covered Area and Grain Size (SCAG) model for Landsat OLI and Terra MODIS. Terra MODIS data are gap filled to better represent on the ground snow. The data was used in the a publication for The Cyrosphere titled Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets, doi.org/10.5194/tc-2022-159. Geotiffs and PNG files for Landsat 8 are self describing. The .mat files for Terra MODIS contain three variables: snow_fraction: the gap filled snow fraction stored as uint8 with 255 as the NoData value and valid values between and including 0 to 100. mstruct: projection structure describing the standard MODIS tile projection structure. The data represent data from tile h08v05 and h09v05 RefMatrix: affine spatial referencing matrix for the snow_fraction grid with the projection described by mstruct
DOI: 10.5284/1124393
title: Images from a Watching Brief between Plawsworth and Pity Me, County Durham, 2023-2024

description: This collection comprises images from a watching brief that took place between Plawsworth and Pity Me, County Durham in advance of the development of a sewage main. The work was undertaken by Pre-Construct Archaeology between July 2023 and January 2024. In Area 4, a semi-circular gully, linear ditch, three possible hearths/ovens, and seven small pits/postholes were recorded. No firm dating material was recovered from the features in Area 4, but they were in close proximity to geophysical anomalies that were previously interpreted as being prehistoric/Romano-British in origin. Therefore it is possible that the remains uncovered in Area 4 were also of prehistoric/Romano-British date.
DOI: 10.15139/s3/dz7xs3
title: CLM-AF v 1.0 Code

description: This is the code for CLM-AF
DOI: 10.15139/s3/jgiqoe
title: Default WRF-CLM LAI Output Code

description: This an update of the default WRF-CLM code to output the simulated LAI