cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14291/tccon.ggg2014.burgos01.r0
title: TCCON data from Burgos, Ilocos Norte (PH), 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 Burgos, Ilocos Norte (PH).
description: <br>Cite this record as:<br>Morino, I., Velazco, V. A., Hori, A., Uchino, O., & Griffith, D. W. T. (2018). <i>TCCON data from Burgos, Ilocos Norte (PH), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.BURGOS01.R0<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 366<br>Unique Downloads: 22<br> between October 08, 2018 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.1594/pangaea.879823
title: High resolution radiosonde measurements from station Ny-Ålesund (2017-07)
DOI: 10.25318/9810030801-eng
title: Visible minority by immigrant status and period of immigration: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on visible minority by immigrant status and period of immigration, age and gender for the population in private households in Canada, provinces and territories, census metropolitan areas, census agglomerations and parts.
DOI: 10.25318/9810032601-eng
title: Visible minority by place of birth and generation status: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on visible minority by place of birth, generation status, age and gender for the population in private households in Canada, provinces and territories, census metropolitan areas, census agglomerations and parts.
DOI: 10.25318/9810033701-eng
title: Visible minority by economic family income and generation status: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on visible minority by ethnic or cultural origin, age and gender for the population in private households in Canada, provinces and territories, census metropolitan areas, census agglomerations and parts.
DOI: 10.25318/9810035101-eng
title: Visible minority by gender and age: Canada, provinces and territories

description: Data on visible minority by gender and age for the population in private households in Canada, provinces and territories.
DOI: 10.25581/spruce.049/1426474
title: SPRUCE: Sphagnum Productivity and Community Composition in the SPRUCE Experimental Plots

description: This data set reports annual dry matter production of Sphagnum in replicated growth columns, the composition of the moss community, and plot-average Sphagnum productivity in the SPRUCE experimental study plots located in the S1-Bog following whole ecosystem warming and deep peat heating (Hanson et al., 2017). Data are reported for the 2016 - 2021 growing seasons (growing seasons run October to October, e.g. the 2016 growing season was October 2015 to October 2016). Data are contained in three comma separated (*.csv) files. Additional data will be appended as they become available.
DOI: 10.26165/juelich-data/ggxj5d
title: Polar Stratospheric Cloud Simulations for CRISTA-NF

description: This data set contains simulated infrared limb emission spectra in the presence of polar stratospheric clouds (PSCs) for the air-borne CRyogenic Infrared Spectrometers and Telescopes for the Atmosphere - New Frontiers (CRISTA-NF). The atmospheric background conditions for the simulations represent the Arctic winter 2009/2010, in which PSCs were measured during the RECONCILE campaign. While the PSCs of 0.5, 1, 2, 4, and 8 km thickness are located between 13 and 30 km altitude, the spectra are available for altitudes between 10 km and the flight altitude of 18.4 km with 100 m vertical spacing. Two spectral ranges, from 785 to 840 cm-1 and 940 to 965 cm-1 are provided. The simulated PSC scenarios comprise pure ice, NAT, and STS scenarios, described by mono-modal log-normal particle size distributions, and two mixed scenarios STS/NAT and small NAT/large NAT, both described by bi-modal log-normal particle size distributions. For STS PSCs we followed the setup in Spang et al. (2012) and simulated three mixtures with wt% H2SO4/HNO of 2/48, 25/25, and 48/2 for five volume densities between 0.1 and 10 µm3/cm3 and four median radii between 0.1 and 1 µm with 0.3 µm in addition. For ice PSCs we extended the range to smaller volume densities, covering the range from 0.1 to 100 µm3/cm3 in 7 steps, and 6 median radii between 1 and 10 µm. Different to Spang et al. (2012) we derived the NAT particle size distribution from the HNO3 volume mixing ratio of 1 to 15 ppbv in 1 ppbv steps and median radii between 0.5 and 8 µm, where we added 6 and 8 µm and used a finer sampling of 0.5 µm between 0.5 and 4 µm. For the mixed STS/NAT scenario we combined STS with wt% H2SO4/HNO of 2/48, volume densities of 5 and 10 µm3/cm3, and median radii of 0.1, 0.3 ,1 µm with NAT volume mixing ratios of 5, 10, 15 ppbv, and median radii between 0.5 and 3.5 µm. For the bi-modal NAT simulation the data set contains simulations for 10 ppbv where the partitioning between the first and the second mode is 3/7, 5/5, and 7/3 ppbv. The median radii of the first mode were kept smaller (0.5 to 2.5 µm) than in the second mode (1 to 8 µm).
DOI: 10.4121/uuid:9951e801-5574-498e-b375-fa6941a0f071
title: Supplementary data to "Distribution of Cl and F in benthic foraminifera"

description: Supplementary data to "Distribution of Cl and F in benthic foraminifera"
DOI: 10.4121/uuid:a86ce94c-1b3d-447a-8652-b2e2d0a72187
title: Data accompanying the research on microbial response to acute dry-rewetting and glyphosate perturbations

description: The dataset was obtained from a microcosm manipulative experiment aimed to assess the response of microbial communities of a soil chronically exposed to glyphosate-based herbicides (GBH) to the combined perturbations of a dry-rewetting disturbance and a acute exposure to a GBH. Two factors were assessed in a factorial design: dry-rewetting and acute exposure to a GBH. The structure of microbial communities of ammonia-oxidizing bacteria (AOB) was evaluated by PCR-DGGE of amoA gene. The copy number of 16S rRNA gene (total bacteria and Actinobacteria) and amoA gene (AOB and AOA) was quantified by quantitative real time PCR. The physiological response was evaluated by BDOBS microplates measuring oxygen consumption (integrated area under respiratory curves). Spreadsheets with quantitative results are presented as well as a tiff file with the DGGE gel.
DOI: 10.5067/terra/mopitt/mop02j_l2.007
title: MOPITT Level 2 Derived CO (Near and Thermal Infrared Radiances) HDF file- Version 7
DOI: 10.5281/zenodo.11774202
title: On Holographic Vacuum Misalignment—data release

description: This dataset contains the data points in the plots of the preprint On Holographic Vacuum Misalignment.

If you use this data release in the context of your research, please cite the aforementioned paper.

Further details are given in the file ReadMe.md.
description: The work of AF has been supported by the STFC Consolidated Grant No. ST/V507143/1 and by the EPSRC Standard Research Studentship (DTP)  EP/T517987/1.

The work of  MP has been supported in part by the STFC Consolidated Grants No. ST/T000813/1 and ST/X000648/1. MP received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under Grant Agreement No.~813942.
DOI: 10.5281/zenodo.1403013
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL wheat

description: This is model output from LPJmL for wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set. The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019). References: Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015 Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017 Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1403073
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL maize

description: This is model output from LPJmL for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set. The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019). References: Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015 Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017 Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1403207
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: PEPIC soy

description: This is model output from PEPIC for soy as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.14732250
title: Goal-directed vocal planning in a songbird - raw data

description: Raw data associated with publication (please cite):

Goal-directed vocal planning in a songbirdAnja T. Zai, Anna E. Stepien Nicolas Giret, Richard H.R. HahnloserDOI: https://doi.org/10.7554/eLife.90445
DOI: 10.5281/zenodo.3698299
title: Dataset for the manuscript "Barium stable isotopes as a fingerprint of biological cycling in the Amazon River Basin" submitted to Biogeosciences Discussions

description: This file contains the dataset of the manuscript submitted to Biogeosciences Discussions entitled "Barium stable isotopes as a fingerprint of biological cycling in the Amazon River Basin" by Charbonnier et al. It consists in three spreadsheets: (1) dissolved species concentration and dissolved Ba isotope data on river dissolved load; (2) main characteristics and Ba isotope data of river sediments; (3) compilation of major element and Ba and Li concentration in rocks (compilation made from the GEOROC database) and in the dissolved load of river draining single rock types (compilation made from previously published data and new data).
DOI: 10.5281/zenodo.4600681
title: Simulation results: CryoGrid 3 multi-scale tiling scheme - Low-gradient slope

description: This dataset contains numerical simulation results obtained with the CryoGrid 3 permafrost model for a field site in northeast Siberia. The model code and settings which were used to create these results are available 10.5281/zenodo.4095341. A journal article which describes the simulation results has been accepted for publication in the scientific journal <em>The Cryosphere </em>and is available as a preprint at 10.5194/tc-2020-137. This dataset contains the model output of two simulations for the <em>low-gradient slope</em> setup described in the article.
DOI: 10.5284/1031493
title: Atlas of Rural Settlement in England

description: The Atlas of Rural Settlement in England GIS comprises the results of two projects based on Brian K Roberts and Stuart Wrathmell's An Atlas of Rural Settlement in England (2000).

The aim of the data conversion project was to enable the key maps of rural settlement and terrain presented in the printed Atlas to be used more effectively than before in research on landscape and settlement in England, as well as in the management of the historic environment. The maps printed in the Atlas were produced digitally, but were created as vector graphics files, and were therefore not useable in Geographic Information Systems (GIS) software. Given the now-widespread use of GIS software in the management and study of the historic environment, as well as the availability of software such as Google Earth, that lacuna significantly restricted the use and value of the Atlas's maps. Presenting Roberts and Wrathmell's materials in an interactive, spatially-aware digital format will enable a variety of users to examine, query and re-interpret Roberts and Wrathmell's results.

The aims of the environmental analysis project were to investigate the inter-relationships of environmental factors and historic settlement organisation and how they are expressed as regional and local variations, and to develop a new, national-scale characterisation of historic settlement organisation as it relates to the physical environment. The project combined the GIS data for historic settlement nucleation and dispersion with a range of data on environmental variables (topography, precipitation, temperature and soils) in order to explore which environmental variables (if any) appear to have had the most significant influence on regional variation in historic settlement organisation.
DOI: 10.5285/ab953cb8-8675-4a85-b561-add6ceba015f
title: Glacier algae cell counts from UPE_U, north-west Greenland, 26 July 2018

description: This dataset consists of 75 destructive ice surface samples for which glacier algae cell counts were undertaken. The sample locations were distributed randomly over a 250 X 250 m area. Funding was provided by the NERC standard grant NE/M021025/1.
description: On 26 July 2018 we cast a random 75-point sampling grid over our UAS flight area defined in "Multi-spectral unmanned aerial system imagery, UPE_U, north-west Greenland, July 2018: Levels 2 (ground reflectance) and 3 (broadband albedo and surface type classification)". We used a trowel to scrape the snow away to reveal the bare ice surface beneath for sampling. Samples were made by cutting a 30 X 30 X 2 cm volume out using a metal ice saw and trowel and transferring into a sterile Whirl-Pak bag which was immediately placed in the dark to melt over a 24 hour period at ambient air temperature. Following melting, samples were homogenised, sub-sampled into Falcon tubes and fixed with 2% final concentration gluteraldehyde. Samples were then returned to laboratories at the Universities of Sheffield and Bristol for counting by microscopic haeomcyometry. Full details of the enumeration protocols used are in Williamson et al. (2018, FEMS Microbiology).
description: Good.
DOI: 10.5445/ir/1000085057
title: GUARD autosampler - Arduino sketch
DOI: 10.5445/ir/1000085058
title: GUARD autosampler - Assembly instructions
DOI: 10.5445/ir/1000085059
title: GUARD autosampler - Print-outs
DOI: 10.6084/m9.figshare.12233723
title: Crustal structure of southeast Australia from teleseismic receiver functions.

description: This seismic data was recorded by 24 temporary stations (Bass array) and 8 permanent stations covering southeast Australia. The data was pre-processed by using SAC, then receiver functions were computed, which were subsequently interpreted to yield crustal thickness estimates and bulk crustal composition.<br>
DOI: 10.1594/pangaea.907552
title: Petrophysical measurements of sandstone samples extracted from an outcrop

description: Petrophysical measurements of samples extracted from 3 consecutive sandstone layers from an outcrop, in lower Cretaceous sandstone from North of Israel.The data includes: Grain size distribution, mercury intrusion porosimetry, XRD, porosity and permeability, micro-CT images.Further description in read_me file.
description: Supplement to: Haruzi, Peleg; Katsman, Regina; Halisch, Matthias; Waldmann, Nicolas D; Spiro, Baruch (2021): Benchmark study using a multi-scale, multi-methodological approach for the petrophysical characterization of reservoir sandstones. Solid Earth, 12(3), 665-689
DOI: 10.5281/zenodo.1403185
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: pAPSIM soy

description: This is model output from pAPSIM for soy as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.3839684
title: Input files and scripts for creating PALM simulation input files on Mäkelänkatu in Helsinki, Finland

description: Datasets and scripts to create input files for running PALM simulations around Mäkelänkatu, Helsinki. The dataset contains: input_data_to_palm: raster maps and final input files to be applied by PALM scripts: scripts used to create the input files source_data: source data for creating the input files user_code: PALM user code modifications
DOI: 10.1594/pangaea.831392
title: Elevation Model of Antarctica derived from CryoSat-2 in the period 2011 to 2013, links to DEM and uncertainty map as GeoTIFF

description: Resolution: 1km x 1km; Projection: Polarstereographic: EPSG:3031; Datum: WGS84Paper is currently under review. Changes to the provided data set could be incorporated in the near future.
DOI: 10.1594/pangaea.834021
title: Abundance of macrozoobenthos in surface sediments sampled during POLARSTERN cruise ANT-VII/4

description: Depth = penetration depth of gear (max = 45 cm).
DOI: 10.1594/pangaea.879767
title: High resolution radiosonde measurements from station Ny-Ålesund (2017-04)
DOI: 10.17632/9wjjvsy82p.1
title: SNOWPACK files for Webb et al. (2021)

description: These repository includes configuration, input, and output files for the SNOWPACK model. These simulations are detailed in Webb et al. (2021): https://doi.org/10.5194/tc-15-1423-2021 In Webb et al. (2021): gordon = Below Treeline; soddie = Near Treeline; and sdl = Above Treeline.
DOI: 10.17871/quincy-model-2019
title: QUINCY terrestrial biosphere model
DOI: 10.18141/1427573
title: Development of an Open Global Oil and Gas Infrastructure Inventory and Geodatabase

description: This submission contains a technical report describing the development process and visual graphics for the Global Oil and Gas Infrastructure database. Access the GOGI database using the following link: https://edx.netl.doe.gov/dataset/global-oil-gas-features-database There is a web-mapping tool that allows you to visualize and interact with this data also available here: https://edxspatial.arcgis.netl.doe.gov/maps/edxspatial-gogi-index.html Acknowledgement: This work was performed under a CRADA between NETL and EDF, and was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.
DOI: 10.21415/t5ps3b
title: PhonBank French Paris Corpus