cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8065170
title: Soil moisture sensor network, design, location attributes and soil properties, Hainich, Germany, project AquaDiva

description: This dataset contains information of the small scale highly resolved soil moisture measurement network that is part of the of the AquaDiva Critical Zone exploratory, Hainich National Park, Germany. The dataset contains information on soil measurement locations, as well as attributes to the location, the design type (random locations vs transects), as well as locations attributes like distance to the next tree and soil properties. Measurement design was first introduced by Metzger et al., (2017), and used in Fischer et al., 2023. See there for more information. <strong>References</strong> Fischer-Bedtke, C., Metzger, J. C., Demir, G., Wutzler, T., and Hildebrandt, A.: Throughfall spatial patterns translate into spatial patterns of soil moisture dynamics – empirical evidence, Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-2022-418, 2023. Metzger, J. C., Wutzler, T., Dalla Valle, N., Filipzik, J., Grauer, C., Lehmann, R., Roggenbuck, M., Schelhorn, D., Weckmüller, J., Küsel, K., Totsche, K. U., Trumbore, S., and Hildebrandt, A.: Vegetation impacts soil water content patterns by shaping canopy water fluxes and soil properties, Hydrological Processes, 31, 3783–3795, https://doi.org/10.1002/hyp.11274, 2017.
description: Data were collected by project B02 of the Collaborative Research Centre AquaDiva of the Friedrich Schiller University Jena, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1076 – Project Number 218627073
description: {"references": ["Metzger, J. C., Wutzler, T., Dalla Valle, N., Filipzik, J., Grauer, C., Lehmann, R., Roggenbuck, M., Schelhorn, D., Weckm\u00fcller, J., K\u00fcsel, K., Totsche, K. U., Trumbore, S., and Hildebrandt, A.: Vegetation impacts soil water content patterns by shaping canopy water fluxes and soil properties, Hydrological Processes, 31, 3783\u20133795, https://doi.org/10.1002/hyp.11274, 2017.", "Fischer, C., Metzger, J. C., Demir, G., Wutzler, T., and Hildebrandt, A.: Throughfall spatial patterns translate into spatial patterns of soil moisture dynamics \u2013 empirical evidence, Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-2022-418, 2023."]}
DOI: 10.5523/bris.1hd8tb43wy2c42gf9ohz1fi8nl
title: Grounding line datasets of Totten and Moscow University Glaciers 2017-2021

description: The grounding line (GL) datasets in 2017-2021 of Totten and Moscow University Glaciers located in Wilkes Land were mapped from different remote sensing methods, including ICESat and ICESat-2 satellite altimetry, and Sentinel-1a/b Differential Interferometry Synthetic Aperture Radar (DInSAR).
DOI: 10.14291/tccon.ggg2020.indianapolis01.r0
title: TCCON data from Indianapolis (US), Release GGG2020.R0

description: These data are now obsolete
    and should be replaced by the most recent data:<br><br>
    https://doi.org/10.14291/tccon.ggg2020.indianapolis01.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
    is the GGG2020 data release of observations from the TCCON station at
    Indianapolis, Indiana, USA
DOI: 10.1594/pangaea.902347
title: ECHAM5-wiso simulation data - present-day, mid-Holocene, and Last Glacial Maximum

description: This data set contains monthly model values of a series of ECHAM5-wiso simulations covering present-day climate, the mid-Holocene (6kyrs BP), and the Last Glacial Maximum (21kyrs BP). These model values have been used in an intensive comparison to a recent compilation of speleothem d18O data, compiled within the framework of the PAGES SISAL (Speleothem Isotopes Synthesis and Analysis) project.
description: The files contain monthly mean model results of several ECHAM5-wiso simulations. A description of the model can be found in Werner et al. (2011).All simulation have been performed in ECHAM T106L31 resolution and the data is stored in NetCDF format.The files named ECHAM5-wiso.PD_nudged.* contain results of an ECHAM5-wiso simulation for the present-day climate, which was nudged to ERA40and ERA-interim reanalyses data. Details of this simulation are described in Butzin et al. (2014). Simulation results cover the period 01/1958-12/2013.The files named ECHAM5-wiso.MH.* contain results of an ECHAM5-wiso simulation for the mid-Holocene (6K BP) climate. The files named ECHAM5-wiso.MH_cntrl.* contain results of the corresponding ECHAM5-wiso control simulation for the modern climate.Details of both simulations are described in Wackerbarth et al. (2012). Simulation results cover the last 10 model years.The files named ECHAM5-wiso.LGM.* contain results of an ECHAM5-wiso simulation for the last glacial maximum (LGM) climate. The files named ECHAM5-wiso.LGM_cntrl.* contain results of the corresponding ECHAM5-wiso control simulation for the modern climate.Details of both simulations are described in Werner et al. (2018). Simulation results cover the last 10 model years.
DOI: 10.1594/pangaea.924792
title: Ecosystem functioning and functional diversity of Sierra Nevada (SE Spain), Version 2

description: Conservation Biology faces the challenge of safeguarding the ecological processes that sustain biodiversity. Characterization and evaluation of these processes can be carried out through attributes or functional traits related, for example, to the exchanges of matter and energy between vegetation and the atmosphere. Nowadays, the use of satellite imagery provides useful methods to produce a spatially continuous characterization of ecosystem functioning and processes at regional scales. Our dataset characterizes the patterns of ecosystem functioning in the Sierra Nevada Biosphere Reserve (SE Spain) from the vegetation dynamics captured through the spectral vegetation index EVI (Enhanced Vegetation Index) since 2001 to 2018 (product MOD13Q1.006 from MODIS sensor). First, we provided three Ecosystem Functional Attributes (EFAs) (i.e., annual primary production, seasonality and phenology of carbon gains), as well as their integration into a synthetic mapping of Ecosystem Functional Types (EFTs). Second, we provided two measures of functional diversity, EFT richness and EFT rarity. Finally, to show which are the most stable and variable zones between year in terms of ecosystem functioning, we delivered the interannual variability in ecosystem functioning from two measures, EFTs interannual variability and EFTs interannual similarity. For each variable there are two groups of data (two subfolders): one containing the yearly variables, and another one containing the summaries for the 18-year period. A dataset description is avaiable. Data layers are in .TIF format with its associated metadata in .TFW (with an aditional Data Management Plan). Furthermore, we have incorporated rendered versions of all layers as required by Google Earth Pro, and we have also developed an ad-hoc visualization platform for all the layers (http://obsnev.es/apps/efts_SN.html).
description: Version 2.
DOI: 10.17632/nbbhy2yxmz.1
title: Grape Version 1

description: Documentation for the Grape V1, drawn from the Github at https://github.com/HamSCI/PSWS_Documentation/tree/master/Grape_Gen1_PSWS ____________________________________________________ Crowdsourced data collection among the international community of amateur radio operators and shortwave listeners has great potential for addressing problems of undersampling in the geospace system. Quantitative Doppler measurements of high frequency (HF) time standard stations, used in bottomside ionospheric sensing, have been accomplished using existing radio hardware belonging to volunteers in distributed campaigns. However, typical shortwave receivers cannot be put to ordinary use while these measurements are being taken, do not have standardized signal chains, and are generally too expensive to be purchased for the purpose of taking Doppler measurements alone. Here, we provide documentation for a low-cost intermediate frequency receiver, the Grape Version 1, which is designed specifically for measurements of North American time standard stations. Grape receivers can be easily constructed and deployed by amateur scientists in order to gain a deeper understanding of variations in radio propagation in their local environment. When compared over long periods and across distributed networks of stations, the resulting data yield insights on greater spatial and time scales. At the time of this writing, several of these receivers have been deployed across the United States and are currently collecting data. These receivers form the first iteration of the Personal Space Weather Station network.
DOI: 10.17864/1947.273
title: ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation

description: The ERA5 reanalysis data (1979-2018) has been used to calculate the three-hourly country aggregated wind and solar power generation for 28 European countries based on a distribution of wind and solar farms which is considered to be representative of the current situation (2017). In addition a corresponding daily time series of nationally aggregated electricity demand is provided. The datasets have been produced to investigate the inter-annual variability of the three weather-dependent power system components. ** This is an update on the previous version of the data where there were issues with the timestamps in the 3-hourly wind and solar power data. **
DOI: 10.22008/fk2/xafcrs
title: Danmarks Digitale Jordartskort 1:25 000 version 6.0 - ArcGIS og QGIS

description: Det digitale jordartskort viser overfladegeologien i digital form. I denne version 6.0 fra 2021 er 91% af Danmarks landareal klassificeret, og kortet kompletteres løbende. Kortet er et resultat af den systematiske geologiske kortlægning af Danmark. Informationerne er indsamlet ved feltarbejde, hvor jordprøver udtages ved hjælp af et hånsspyd i 1 meters dybde, det vil sige lige under pløjelag og jordbundsudviklingen. Afstanden mellem jordprøverne er 100-200 meter. Jordarterne er inddelt i 82 typer. Kort- og jordartsbeskrivelsen er udgivet i GEUS rapport 2021/68, hvor yderligere oplysninger kan findes. Datapakken indeholder filer til brug i GIS systemerne ArcGIS v. 10.7.1 og QGIS v. 3.24.3.
DOI: 10.22008/fk2/yaxcms/nfyi4a
title: SUBWATER_UrbanCatchments_IMPareas.zip

description: The data set was developed for a specific model domain of the City of Odense in Denmark based on information from the local water utility company VandCenter Syd A/S in 2019. The data set is a shape file of the urban stormwater catchments that drain to the combined storm and sewer network. The file includes the estimated percentage of imperviousness in the attribute column “ImpArea”.
DOI: 10.22008/fk2/yaxcms/t3ortf
title: SUBWATER_SewerNetwork.zip

description: The data set was developed for a specific model domain of the City of Odense in Denmark based on information from the local water utility company VandCenter Syd A/S in 2019. The data set is a shape file of the sewer network within the SUBWATER model domain.
DOI: 10.5281/zenodo.5516929
title: Gridded ammonia emission inventory in mainland China

description: We produce and provide an improved ammonia emission inventory in mainland China in 2016. The emission inventory have been developed with 1/12 by 1/12 degree spatial resolution. The unit of the emission inventory is t/grid/year.
DOI: 10.5281/zenodo.6590283
title: Grape V1 Data: Frequency Estimation and Amplitudes of North American Time Standard Stations

description: Frequency and amplitude estimation data collected by Grape V1 stations in the Personal Space Weather Station network.
description: We gratefully acknowledge the support of NSF Grants AGS-2002278, AGS-1932997, and AGS-1932972. This work was undertaken through the HamSCI community (www.hamsci.org). We thank our volunteers for giving generously of their time and expertise. We also thank the maintainers of the first contingent of Grape stations for pioneering the PSWS network. Hardware was constructed in the Sears Undergraduate Design Laboratory and think[box] at CWRU. Finally, we thank the staff of WWV, WWVH and CHU, without whom this work would not be possible.
DOI: 10.14291/tccon.ggg2014.bremen01.r1
title: TCCON data from Bremen (DE), 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 Bremen, Germany.
description: <br>Cite this record as:<br>Notholt, J., Petri, C., Warneke, T., Deutscher, N. M., Palm, M., Buschmann, M., Weinzierl, C., Macatangay, R. C., & Grupe, P. (2019). <i>TCCON data from Bremen (DE), Release GGG2014.R1</i> (Version R1) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.BREMEN01.R1<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 183<br>Unique Downloads: 15<br> between October 04, 2019 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.14291/tccon.ggg2014.indianapolis01.r0/1149164
title: TCCON data from Indianapolis (US), Release GGG2014.R0

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.indianapolis01.R1/1330094 <br><br>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 Indianapolis, U.S.A..
description: <br>Cite this record as:<br>Iraci, L. T., Podolske, J. R., Hillyard, P. W., Roehl, C., Wennberg, P. O., Blavier, J.-F., … Barney, J. (2017). <i>TCCON data from Indianapolis (US), Release GGG2014.R0</i> [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2014.indianapolis01.r0/1149164<br> or choose a  different citation style.<br>Download Citation<br>
DOI: 10.14291/tccon.ggg2014.nyalesund01.r1
title: TCCON data from Ny Ålesund, Spitsbergen (NO), Release GGG2014.R1

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.nyalesund01.R1 <br><br>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 Ny Ålesund, Spitsbergen, Norway.
description: <br>Cite this record as:<br>Notholt, J., Warneke, T., Petri, C., Deutscher, N. M., Weinzierl, C., Palm, M., & Buschmann, M. (2019). <i>TCCON data from Ny Ålesund, Spitsbergen (NO), Release GGG2014.R1</i> (Version R1) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.NYALESUND01.R1<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 181<br>Unique Downloads: 12<br> between October 04, 2019 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.15784/601424
title: Stable isotope composition of the trapped air in the Allan Hills S27 ice core

description: This file includes the δ15N of N2 and δ18O of O2 (δ18Oatm) in the S27 ice core drilled in Allan Hills Blue Ice Area.
DOI: 10.15784/601425
title: Greenhouse gas composition in the Allan Hills S27 ice core

description: This file includes the concentration of carbon dioxide (CO2) and methane (CH4) in the trapped air from the S27 ice core collected in Allan Hills Blue Ice Area.
DOI: 10.1594/pangaea.821729
title: Hydrochemistry of water samples during METEOR cruise M83/1
DOI: 10.1594/pangaea.863119
title: Hydrochemistry of water samples during METEOR cruise M97
DOI: 10.1594/pangaea.868654
title: Physical oceanography during METEOR cruise M120
DOI: 10.1594/pangaea.937193
title: Drift trajectory of the site M1 of the Distributed Network of MOSAiC 2019/2020

description: During the “Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC)” in 2019/2020 a Distributed Network (DN) of autonomous stations (buoys) was installed on the sea ice and drifted across the Arctic Ocean. This network consisted of &gt;200 individual devices ranging from simple position buoys to complex and interdisciplinary multi-sensor platforms. Most (complex) measurements were performed on sea ice floes (sites or nodes) by co-located instruments. These sites were called medium (M) and large (L) sites. In addition, autonomous instruments were operated in the Central Observatory (CO), which consisted of the research ice breaker Polarstern and the adjacent ice camp. Initially, 4 L and 9 M sites were installed around the CO in a distance of up to 40 km. However, their distances and relative positions changed over time due to the drift of the ice pack over time. Over the course of the MOSAiC expedition, 3 different COs were established because of re-locations of RV Polarstern: CO1 started with the first drift of Polarstern on 04 October 2019; CO2 started with the second drift on 19 June 2020; and CO3 started with the third drift on 21 August 2020.
DOI: 10.24381/cds.4ebfe4eb
title: Ozone monthly gridded data from 1970 to present derived from satellite observations
DOI: 10.25925/20180802
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2017; obspack_co2_1_GLOBALVIEWplus_v4.0_2018-08-02

description: A full list of all contributors for this product can be found at www.esrl.noaa.gov/gmd/ccgg/obspack/providerlist/obspack_co2_1_GLOBALVIEWplus_v4.0_2018-08-02.html
<br>
This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products. This product includes 395 atmospheric carbon dioxide datasets derived from observations made by 47 laboratories from 19 countries. Data for the period 1957-2017 (where available) are included.
DOI: 10.5066/f7125r5v
title: Landslides Triggered by the 21 April 2007 M6.2 Aysen Fjord, Chile Earthquake

description: This inventory was originally created by Gorum and others (2014) describing the landslides triggered by a sequence of earthquakes, with the largest being the M 6.2 17 km N of Puerto Aisen, Chile earthquake that occurred on 21 April 2007 at 23:45:56 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory includes landslides triggered by a sequence of earthquakes rather than a single mainshock. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.

With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
DOI: 10.5066/f7h130hg
title: Mass-wasting triggered by the 2010 Haiti earthquake

description: This inventory was originally created by Gorum and others (2013) describing the landslides triggered by the M 7.0 Haiti earthquake that occurred on 12 January 2010 at 21:53:10 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.

With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
DOI: 10.5066/f7ms3r8z
title: Landslides associated with the 2008 Wenchuan earthquake

description: This inventory was originally created by Li and others (2014) describing the landslides triggered by the M 7.9 Wenchuan, China earthquake that occurred on 12 May 2008 at 06:28:01 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.

With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
DOI: 10.5067/amsr-e/ae_si25.003
title: AMSR-E/Aqua Daily L3 25 km Brightness Temperature & Sea Ice Concentration Polar Grids, Version 3
DOI: 10.5067/e4e140xdmpo2
title: OCO-2 Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files, Retrospective processing V10r
DOI: 10.5281/zenodo.4009653
title: KM1906_Gradients3_Surface_O2Ar_NCP

description: This data set gives values of dissolved gas saturation and calculated rates of net community production implied from those observations in the North Pacific Ocean. Data were collected between April 10, 2019 and April 29, 2019 using an equilibrated inlet mass spectrometer (EIMS, Cassar et al., 2009) connected to the surface uncontaminated seawater supply of the Research Vessel Kilo Moana on Cruise ID KM1906. Data were collected near-continuously over the cruise track which departed and returned from Honolulu, HI and sampled waters of the North Pacific subtropical gyre and transition zone.