cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.897640
title: In-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt Switzerland

description: The data presented is a unique ten+ year data record obtained from in-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland at 3500 m a.s.l. during the time period 2008-2018 by the PermaSense project.This data set constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 114.5 million data points captured over the past decade. By documenting and sharing this data in this form we contribute to making our past research reproducible and facilitate future research based on this data e.g. in the area of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models (code for generating, processing and validating this data set is published on Zenodo https://doi.org/10.5281/zenodo.2542715, 2019).This data set provides primary data products as well as derived data products:GNSS raw data: GNSS observables in the form of daily RINEX 2.11 filesGNSS derived data products: Daily positions computed using double-differencing GNSS processingTimelapse images: High-resolution visible light imagesTimeseries data raw: Per-year and location files or raw sampled data: Weather station, ground temperature, ground resistivity, fracture displacement and inclinometer dataTimeseries derived data products: Cleaned and aggregated hourly values of the aboveTimeseries sanity plots: Standardized plots to obtain a visual overview and check dataAll data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://doi.org/10.5281/zenodo.2542715, 2019 from the online PermaSense data repository at http://data.permasense.ch.
description: Supplement to: Weber, Samuel; Beutel, Jan; Da Forno, Reto; Geiger, Alain; Gruber, Stephan; Gsell, Tonio; Hasler, Andreas; Keller, Matthias; Lim, Roman; Limpach, Philippe; Meyer, Matthias; Talzi, Igor; Thiele, Lothar; Tschudin, Christian; Vieli, Andreas; Vonder Mühll, Daniel; Yücel, Mustafa (2019): A decade of detailed observations (2008-2018) in steep bedrock permafrost at Matterhorn Hörnligrat (Zermatt, CH). Earth System Science Data, 11, 1203-1237
DOI: 10.1594/pangaea.899562
title: Continuous meteorological monitoring at Cape Posillipo (Denza Institute weather station - Naples - Campania Region - Italy) during the period January 2014 - December 2018

description: Weather data monitoring is ongoing since late 2013 in a network of three sites located in the Campi Flegrei volcanic area, near Naples (Italy) in the framework of the MONICA (Innovative Monitoring of Coastal and Marine Environment) Project. The aim of this activity is to acquire time series to analyze the influence of meteorological factors on geomorphological coastal processes, such as cliff retreat, landslides and beach erosion. The uploaded dataset includes data (temperature, rain, wind, barometric pressure and relative humidity) acquired at the Denza automatic weather station (model DAVIS Vantage Pro2 wireless) during the period Jan. 2014 - Dec. 2018. Automatic data transfer from the weather station to the ISMAR-CNR processing center of Naples is performed by an internet LAN connection.
description: Height above ground of sensors:Barometer: 20m, Thermo-hygrometer/Pluviometer: 25m, Anemometer: 27m---The present dataset refers to the same weather station as the previously published material (doi:10.1594/PANGAEA.896272), but it now includes higher frequency sampling of all measured parameters (10 minutes) and an extension of the time interval from Oct. to Dec. 2018.
DOI: 10.1594/pangaea.907398
title: Wetlandscape Change Information Database (WetCID)

description: Geography and associated hydrological, hydroclimate and land use conditions and their changes determine the states and dynamics of wetlands and their ecosystem services. The influences of these controls are not limited to just the local scale of each individual wetland, but extend over larger landscape areas that integrate multiple wetlands and their total hydrological catchment – the wetlandscape. However, the data and knowledge of conditions and changes over entire wetlandscapes are still scarce, limiting the capacity to accurately understand and manage critical wetland ecosystems and their services under global change. We present a new Wetlandscape Change Information Database (WetCID), consisting of geographic, hydrological, hydroclimate and land use information and data for 27 wetlandscapes around the world. This combines survey-based local information with geographic shapefiles and gridded datasets of large-scale hydroclimate and land-use conditions and their changes over whole wetlandscapes. Temporally, WetCID contains 30-year time series of data for mean monthly precipitation and temperature, and annual land use conditions. The survey-based site information includes local knowledge on the wetlands, hydrology, hydroclimate and land uses within each wetlandscape, and on the availability and accessibility of associated local data. This novel database can support site assessments, cross-regional comparisons, and scenario analyses of the roles and impacts of land use, hydroclimatic and wetland conditions and changes on whole-wetlandscape functions and ecosystem services.
description: Supplement to: Ghajarnia, Navid; Destouni, Georgia; Thorslund, Josefin; Kalantari, Zahra; Åhlén, Imenne; Anaya-Acevedo, Jesús Adolfo; Blanco-Libreros, Juan F; Borja, Sonia; Chalov, Sergey R; Chalova, Aleksandra; Chun, Kwok P; Clerici, Nicola; Desormeaux, Amanda; Garfield, Bethany B; Girard, Pierre; Gorelits, Olga; Hansen, Amy; Jaramillo, Fernando; Jarsjö, Jerker; Labbaci, Adane; Livsey, John; Maneas, Giorgos; McCurley, Kathryn Pisarello; Palomino-Ángel, Sebastian; Pietron, Jan; Price, René M; Rivera-Monroy, Victor H; Salgado, Jorge; Sannel, A Britta K; Seifollahi-Aghmiuni, Samaneh; Sjöberg, Ylva; Terskii, Pavel; Vigouroux, Guillaume; Licero-Villanueva, Lucia; Zamora, David (2020): Data for wetlandscapes and their changes around the world. Earth System Science Data, 12(2), 1083-1100
DOI: 10.1594/pangaea.908080
title: Pore water geochemistry and bulk sediment measurements of downcore profiles from site TDP-1A of the ICDP Towuti Drilling Project, Lake Towuti, Indonesia

description: Pore water geochemistry and bulk sediment measurements of downcore profiles covering the upper 100 m-long sequence from site 1A, Lake Towuti, Indonesia
DOI: 10.21227/f9tc-ab45
title: UASpeech

description: 痉挛性构音障碍说话者的视听孤立词录音。Subjects include 15 talkers with Cerebral Palsy and 13 age-matched healthy controls. Subjects were recruited based primarily on personal contact facilitated by disability support organizations. Subjects were selected based on self-report of either speech pathology or cerebral palsy. Before data were included in the UA-Speech distribution, the diagnosis of spastic dysarthria (sometimes mixed with other forms of dysarthria) was informally confirmed by a certified speech-language pathologist listening to these recordings. Subjects were asked to explicitly grant permission for the dissemination of their data; subjects who refused permission are not represented in the distribution.
DOI: 10.25574/cdc.285
title: Chandra X-ray Observatory Chandra Data Collection for request #285

description: Chandra Data Collection for request #285
description: DOI updated to include the publication's DOI on 2024-12-209-13:30:00
DOI: 10.5066/p9tlhzai
title: Tree ring dataset for a regional avalanche chronology in northwest Montana, 1636-2017

description: This dataset includes processed tree ring data from avalanche paths in Glacier National Park and the Flathead National Forest in northwest Montana. The data were processed in three distinct phases that resulted in this dataset: collection, processing, and avalanche signal analysis. This dataset consists of samples from 647 trees with 2304 growth disturbances identified from 12 avalanche paths.
DOI: 10.5067/modis/mod08_d3.006
title: MOD08_D3 MODIS/Terra Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG
DOI: 10.5067/o57vait2ayyy
title: Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 3
DOI: 10.5067/temsc-2cl05
title: JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent Water Height JPL RL05M.1 Version 2
DOI: 10.5281/zenodo.10518278
title: Comparative efficacy of non-pharmacological interventions for adults with obstructive sleep apnea: a systematic review and network meta-analysis

description: -Datasets for all analyses performed.-Appendix 4. List of studies identified from the literature search, with their inclusion/exclusion status, and exclusion reasons.
DOI: 10.5281/zenodo.11638329
title: Supplementary data to "GD-1 STELLAR STREAM AND COCOON IN THE DESI EARLY DATA RELEASE"

description: Supplementary material to DESI's publication "GD-1 STELLAR STREAM AND COCOON IN THE DESI EARLY DATA RELEASE" to comply with the data management plan. Data associated with revised version of paper submitted to The Astrophysical Journal. Directory contains data points for all figures with file names indicating the figure to which the data corresponds as well as a FITS file for Table 4. Data for 13 figures and one table (46 FITS files) included in .zip directory
DOI: 10.5281/zenodo.3540756
title: Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6-LIM3 global ocean–sea ice model

description: Model output and observational data and scripts corresponding to the manuscript "Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6-LIM3 global ocean–sea ice model" <strong>Abstract. </strong> This study assesses the impact of different sea ice thickness distribution (ITD) configurations on the sea ice concentration (SIC) variability in ocean-standalone NEMO3.6-LIM3 simulations. Three ITD configurations with different numbers of sea ice thickness categories and boundaries are evaluated against three different satellite products (hereafter referred to as “data”). Typical model and data interannual SIC variability is characterized by k-means clustering both in the Arctic and Antarctica between 1979 and 2014 in two seasons, January–March and August–October, which show the largest coherence across clusters in individual months. Analysis in the Arctic is done before and after detrending the series with a 2nd degree polynomial to separate interannual from longer-term variability. Before detrending, winter clusters capture SIC response to atmospheric variability at both poles and summer cluster a positive and negative trend in the Arctic and Antarctic SIC respectively. After detrending, Arctic clusters reflect SIC response to interannual atmospheric variability predominantly. Model–data cluster comparison suggests that no specific ITD configuration or category number increases realism of the simulated Arctic and Antarctic SIC variability in winter. In the Arctic summer, more thin-ice categories decrease model–data agreement without detrending but increase agreement after detrending. Overall, a single-category configuration agrees the worst with data. Direct model–data comparison of SIC anomaly fields shows that more thick-ice categories improve winter SIC variability realism in Central Arctic regions with very thick ice. By contrast, more thin-ice categories reduce model–data agreement in the Central Arctic in summer, due to an overly large simulated sea ice volume. In summary, whereas better resolving thin ice in NEMO3.6-LIM3 can hamper model realism in the Arctic but improve it in Antarctica, more thick-ice categories increase realism in the Arctic winter. And although the single-category configuration performs the worst overall, no optimal configuration is identified. Our results suggest that no clear benefit is obtained from increasing the number of sea ice thickness categories beyond the current usual standard of 5 categories in NEMO3.6-LIM3.
description: For additional information or any request, please email eduardo(dot)moreno(at)bsc(dot)es
DOI: 10.5281/zenodo.3775007
title: CrocO: manuscript Dataset

description: This archive includes the dataset associated with the release of CrocO_v1.0 snowpack ensemble data assimilation system in the submitted manuscript: CrocO : a Particle Filter to assimilate snowpack observations in a spatialised framework, Bertrand Cluzet, Matthieu Lafaysse, Emmanuel Cosme, Clement Albergel, Louis-François Meunier, and Marie Dumont, Geoscientific Model development, 2021, doi:10.5194/gmd-14-1595-2021. CrocO_toolbox, the python code used to launch the simulations and produce this dataset is available on github: https://github.com/bertrandcz/CrocO_toolbox, tag CrocO_v1.0, and at the associated zenodo archive: https://doi.org/10.5281/zenodo.3784980 The model source code and required librairies (open-source) are archived at: https://doi.org/10.5281/zenodo.3774861 This archive includes the several directories : namelist_conf : the original namelists and configuration files used to perform the assimilation experiments notebooks : notebooks to produce the figures of the article and select the openloop members used as synthetic observations s2m/12/* : simulation outputs required to reproduce the article figures (openloop simulation and assimilation experiments spinup: files used to initialize the simulations safran/12/* : reference forcing before perturbations, originating from SAFRAN reanalyses (https://doi.org/10.25326/37). original impurities forcing file from MOCAGE model and extracted by F.Tuzet at the Col du Lautaret. scores : the scores used in Figs. 6-7 of the manuscript.
DOI: 10.60521/331613
title: Microseismicity catalog from Rainbow Massif, Mid-Atlantic Ridge, 2013-2014 using a machine learning approach

description: This seismic catalog is derived from short-period ocean-bottom seismograph data, recorded for 9 months from May 2013 – June 2014 as part of the MARINER experiment. The data file is in ASCII format and the header line describes the contents. This catalog contains 68,326 relocated events, obtained using the deep-neural-network-based seismic arrival-time picking method called PhaseNet. Event times are classified as UTC-based datetime objects. Depths are in kilometers below seafloor. Frequency index scores for events are included. Funding was provided by NSF awards OCE-0961680 and OCE-2104437.
DOI: 10.6073/pasta/1dd10a2c705fed76b2017c6a1819b95b
title: McMurdo Dry Valleys LTER - High frequency measurements from Lake Hoare Meteorological Station (HOEM) - Taylor Valley, Antarctica - 1987 to present

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains 15-minute data from the Lake Hoare Meteorological Station (HOEM), located in Taylor Valley.
DOI: 10.6073/pasta/a1df5cdab3319e9adeb18f8448fd363e
title: McMurdo Dry Valleys LTER - High frequency measurements from Taylor Glacier Meteorological Station (TARM) - Taylor Valley, Antarctica - 1994 to present

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains 15-minute data from the Taylor Glacier Meteorological Station (TARM), located in Taylor Valley. TARM was established in 1994, during the 94/95 field season.
DOI: 10.6073/pasta/bee9b480f56ed8ea651b03648ee43c8d
title: McMurdo Dry Valleys LTER - High frequency measurements from Lake Bonney Meteorological Station (BOYM) - Taylor Valley, Antarctica - 1993 to present

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This package contains 15-minute data from the Lake Bonney Meteorological Station (BOYM), located in Taylor Valley. BOYM was established in 1993, during the 93/94 field season.
DOI: 10.6084/m9.figshare.12720938
title: Emission inventory of air pollutants based on local measurements in the Yangtze River Delta region, China

description: This file contains the gridded emissions of
air pollutants for the Yangtze River Delta 2017 at a horizontal resolution of 4
× 4km, which is based on a high-resolution air pollutant emission inventory using
emission factors and chemical speciation mainly from local measurements.<br>
DOI: 10.6084/m9.figshare.28343021
title: Supplementary Material for: Breast hamartoma in the male sex. Case Report

description: Introduction: Hamartoma of the breast are benign tumors of glandular tissue, they present a hormonal factor in their development, therefore, they are more common in pregnant and lactating women. Case report: A case of hamartoma is present in a man in the sixth decade of life, managed with conservative mastectomy of the nipple-areola complex. Conclusion: In men it is an unusual entity, with an incidence of &lt;1% of all breast lesions, however, they can cause concern because their behavior is similar to malignant tumors, and normally its diagnosis is only confirmed when the entire resection piece is analyzed.
DOI: 10.11583/dtu.9771722
title: HAWC2 input data and statistics of time series for slightly modified versions of the DTU10MW and IEA10MW wind turbines for DLC1.2

description: HAWC2 input files and statistics of the time series for the slightly modified versions of the DTU10MW and IEA10MW turbines as used for studying the effect of geometric non-linear model fidelities. This data set is used in the publication "The effects of blade structural model fidelity on wind turbine load analysis and computation time". Please note that the versions of the DTU andIEA10MW models used here are slightly different compared to the original models: the DTU10MW has a small offset on the blade twist distribution, and the IEA10MW has a different drive train mass and inertia.<br>
DOI: 10.14291/tccon.ggg2014.jpl02.r1/1330096
title: TCCON data from Jet Propulsion Laboratory (US), 2011, Release GGG2014.R1

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 the Jet Propulsion Laboratory, Pasadena, U.S.A..
description: <br>Cite this record as:<br>Wennberg, P. O., Roehl, C. M., Blavier, J.-F., Wunch, D., & Allen, N. T. (2016). <i>TCCON data from Jet Propulsion Laboratory (US), 2011, Release GGG2014.R1</i> (Version GGG2014.R1) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.JPL02.R1/1330096<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 258<br>Unique Downloads: 6<br> between September 08, 2017 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.1594/pangaea.861371
title: E-RUN version 1.1: Observational gridded runoff estimates for Europe, link to data in NetCDF format (69 MB)

description: River runoff is an essential climate variable as it is directly linked to the terrestrial water balance and controls a wide range of climatological and ecological processes. Despite its scientific and societal importance, there are to date no pan-European observation-based runoff estimates available. Here we employ a recently developed methodology to estimate monthly runoff rates on regular spatial grid in Europe. For this we first assemble an unprecedented collection of river flow observations, combining information from three distinct data bases. Observed monthly runoff rates are first tested for homogeneity and then related to gridded atmospheric variables (E-OBS version 12) using machine learning. The resulting statistical model is then used to estimate monthly runoff rates (December 1950 - December 2015) on a 0.5° x 0.5° grid. The performance of the newly derived runoff estimates is assessed in terms of cross validation. The paper closes with example applications, illustrating the potential of the new runoff estimates for climatological assessments and drought monitoring.
description: Monthly mean runoff rates for Europe (December 1950 - December 2015) on a regular 0.5 degree grid. The data are estimated on the basis of streamflow observations from small catchments which are combined with gridded observations of precipitation and temperature using machine learning. The resulting machine learning model allows to predict monthly mean runoff rates at all grid-cells of the considered atmospheric drivers.
description: Supplement to: Gudmundsson, Lukas; Seneviratne, Sonia I (2016): Observation-based gridded runoff estimates for Europe (E-RUN version 1.1). Earth System Science Data, 8(2), 279-295
DOI: 10.1594/pangaea.906332
title: Observations of winter marine productivity in an ice-covered fjord, West Greenland

description: These data are the first observations of Arctic winter microbial activity under sea ice in a west Greenland fjord (Lillefjord, 70°30'N 50°40'W), and are based on changes in dissolved oxygen content in light and dark in-situ incubations. The results can be used to calculate net community productivity, respiration and photosynthesis rates under the ice. Data were collected at two fully ice-covered sites during February 2013, shortly after the end of the polar night. This is the results summary. Methods are described in the 'Method.txt' file. Results for individual bottles in each experiment are provided in doi:10.1594/PANGAEA.912677.
DOI: 10.1594/pangaea.912677
title: Observations of winter marine microbial activity in an ice-covered fjord, West Greenland: individual observations

description: These data are the first observations of Arctic winter microbial activity under sea ice in a west Greenland fjord (Lillefjord, 70°30'N 50°40'W), and are based on changes in dissolved oxygen content in light and dark in-situ incubations. The results can be used to calculate rates of net community productivity, respiration and photosynthesis under the ice. Data were collected at two fully ice-covered sites during February 2013, shortly after the end of the polar night. These are the results for individual bottles in each experiment. Methods are described in the 'Method.txt' file and results are summarised in doi:10.1594/PANGAEA.906332.
DOI: 10.17632/8cw3ygfssy.1
title: KorB switching from DNA-sliding clamp to repressor mediates long-range gene silencing in a multi-drug resistance plasmid

description: Examples of long-range gene regulation in bacteria are rare and generally thought to involve DNA looping. Here, using a combination of biophysical approaches including X-ray crystallography and single-molecule analysis for the KorB-KorA system in Escherichia coli, we show that long-range gene silencing on the plasmid RK2, a source of multi-drug resistance across diverse Gram-negative bacteria, is achieved cooperatively by a DNA-sliding clamp, KorB, and a clamp-locking protein, KorA. We show that KorB is a CTPase clamp that can entrap and slide along DNA to reach distal target promoters up to 1.5 kb away. We resolved the tripartite crystal structure of a KorB-KorA-DNA co-complex, revealing that KorA latches KorB into a closed clamp state. DNA-bound KorA thus stimulates repression by stalling KorB sliding at target promoters to occlude RNA polymerase holoenzymes. Together, our findings explain the mechanistic basis for KorB role switching from a DNA-sliding clamp to a co-repressor, and provide an alternative mechanism for long-range regulation of gene expression in bacteria.