cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fw5ew6
title: Occurrence Download

description: A dataset containing 822 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Photinia parvifolia (Pritz.) C.K.Schneid."
 ]
}

 The dataset includes 822 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0176624-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34fk8d
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helichrysum benthamii Vig. & Humbert"
 ]
}

 The dataset includes 185 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238744-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxrpbt
title: Occurrence Download

description: A dataset containing 4999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Alouatta palliata (Gray, 1849), Saimiri oerstedii (Reinhardt, 1872), Ateles geoffroyi Kuhl, 1820, Cebus capucinus (Linnaeus, 1758))"
 ]
}

 The dataset includes 4999 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0176612-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rra2f4
title: Occurrence Download

description: A dataset containing 965 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens chinensis L."
 ]
}

 The dataset includes 965 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252234-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3f6xg
title: Occurrence Download

description: A dataset containing 26377 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum viviparum L."
 ]
}

 The dataset includes 26377 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0176629-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xw7c52
title: Occurrence Download

description: A dataset containing 1884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miniopterus schreibersii (Kuhl, 1817)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 1884 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003488-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c53r0q57b
title: MassIVE MSV000096984 - GNPS Extracts of endophytic fungus Hypoxylon investiens, isolated from marine algae, cultivated with different mediums
title: Extracts of endophytic fungus Hypoxylon investiens, isolated from marine algae, cultivated with different mediums, analyzed in UPLC-HR-ESI-negative-QTof.
DOI: 10.15468/dl.2c4x4k
title: Occurrence Download

description: A dataset containing 20597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctalus noctula (Schreber, 1774)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 20597 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003492-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yrgpb
title: Occurrence Download

description: A dataset containing 9399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eptesicus nilssonii (Keyserling & Blasius, 1839)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 9399 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003493-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cjfa9
title: Occurrence Download

description: A dataset containing 707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis brandtii (Eversmann, 1845)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 707 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003495-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13870600
title: NMR spectroscopy data (600 and 950 MHz) of oxidised triolein, trilinolein, trilinolenin, rapeseed oil, and sunflower oil

description: Dataset containing NMR (nuclear magnetic resonance) spectroscopy of oxidised triacylglycerides (triolein, trilinolein, and trilinolenin) and oils (rapeseed oil and sunflower oil). The dataset was used for the annotation of substructures observed in oxidised vegetable oil. It includes 1D proton, 1D selective proton, 2D (band-selective) HSQC, 2D (band-selective) HMBC, 2D TOCSY, 2D ROESY, 2D HSQC-TOCSY spectra.

This dataset was used to develop a NMR-based oxylipidomics worksflow. We describe a workflow that can be used to study lipid oxidation mechanistically in a paper that can be found here: https://www.sciencedirect.com/science/article/abs/pii/S0963996924016831.

The NMR data was acquired on two systems. A 950 MHz with cryoprobe from the NMR facility at Radboud University (Nijmegen, the Netherlands) and a 600 MHz from the MAGNEFY centre (Wageningen University, the Netherlands).
DOI: 10.5281/zenodo.13870601
title: NMR spectroscopy data (600 and 950 MHz) of oxidised triolein, trilinolein, trilinolenin, rapeseed oil, and sunflower oil

description: Dataset containing NMR (nuclear magnetic resonance) spectroscopy of oxidised triacylglycerides (triolein, trilinolein, and trilinolenin) and oils (rapeseed oil and sunflower oil). The dataset was used for the annotation of substructures observed in oxidised vegetable oil. It includes 1D proton, 1D selective proton, 2D (band-selective) HSQC, 2D (band-selective) HMBC, 2D TOCSY, 2D ROESY, 2D HSQC-TOCSY spectra.

This dataset was used to develop a NMR-based oxylipidomics worksflow. We describe a workflow that can be used to study lipid oxidation mechanistically in a paper that can be found here: https://www.sciencedirect.com/science/article/abs/pii/S0963996924016831.

The NMR data was acquired on two systems. A 950 MHz with cryoprobe from the NMR facility at Radboud University (Nijmegen, the Netherlands) and a 600 MHz from the MAGNEFY centre (Wageningen University, the Netherlands).
DOI: 10.14291/tccon.ggg2020.nicosia01.r0
title: TCCON data from Nicosia (CY), Release GGG2020.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
    is the GGG2020 data release of observations from the TCCON station at
    Nicosia (CY), The Cyprus Institute
DOI: 10.1594/wdcc/happi-mip-global-echam6.3
title: Simulations of HAPPI (Half a degree Additional warming, Prognosis and Projected Impacts) Tier-1 experiments based on the ECHAM6.3 atmospheric model of the Max Planck Institute for Meteorology (MPI-M)

description: Project: HAPPI-MIP international initiative - The international HAPPI-MIP (Half a degree Additional warming, Prognosis and Projected Impacts - Model Intercomparison Project) initiative [1] has been launched in response to the announced intent of the IPCC (Intergovernmental Panel on Climate Change) to publish the special report SR1.5 on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. In addition, HAPPI-Land (HAPPI - Land-use scenario experiment) was initiated to investigate the biogeophysical effects of land-based mitigation in different low emission scenarios. The HAPPI-MIP and HAPPI-Land data belong to the data protocol of HAPPI-MIP [2]. The file format is NetCDF containing time series of a single variable per file. The meta data model is very similar to that of CMIP5. The HAPPI-MIP initiative and the model simulations it proposes are described in detail in Mitchell et al., 2017 [3]. Details and results on the HAPPI-Land initiative are described and discussed in Hirsch et al., 2018 [4] Each CERA experiment of this project contains the data based on a single model. References: [1] http://www.happimip.org/ [2] http://www.happimip.org/wp-content/uploads/2016/05/HAPPI_request_diagnostics_final.pdf [3] https://doi.org/10.5194/gmd-10-571-2017 [4] https://doi.org/10.1002/2017EF000744 Summary: Please note that data representing a warmer future climate are flawed by the use of incorrect sea ice coverage data. All data of the 1.5°C and the 2.0°C experiment of this CERA experiment have been replaced by and all data of the current decade and the 57-year-long AMIP experiment have been copied to http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=HAPPI-global-ECHAM6.3_v2. For detailed information refer to that experiment. Global HAPPI-MIP protocol data based on the ECHAM6.3 AGCM developed by the MPI-M (Max Planck Institute for Meteorology). This CERA experiment includes data of five AMIP simulations of the period 1959-2015 and 100 AMIP simulations of 2006-2015. In addition it includes data of 100 AMIP-like simulations of 2106-2115 representing a climate warmer by 1.5°C than under pre-industrial conditions (1861-1880) and 100 AMIP-like simulations of 2106-2115 representing a climate warmer by 2.0°C than under pre-industrial conditions.
DOI: 10.18709/perscido.2022.09.ds375
title: Gupta, A., Reverdy, A., Cohard, J.-M., Voisin, D., Hector, B., Descloitres, M., Vandervaere, J.-P., Coulaud, C., Biron, R., Liger, L., Valay, J.-G., and Maxwell, R. (2022) Data from: Impact of distributed meteorological forcing on snow dynamic and induced water fluxes over a mid-elevation alpine micro-scale catchment.

description: The sorftware and data presented here are the part of the study:
Gupta, A., Reverdy, A., Cohard, J.-M., Voisin, D., Hector, B., Descloitres, M., Vandervaere, J.-P., Coulaud, C., Biron, R., Liger, L., Valay, J.-G., and Maxwell, R.: Impact of distributed meteorological forcing on snow dynamic and induced water fluxes over a mid-elevation alpine micro-scale catchment, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2021-639, in review, 2022.
DOI: 10.5066/f78p5xzm
title: Declassified Satellite Imagery - 1

description: The first generation of U.S. photo intelligence satellites collected more than 860,000 images of the Earth's surface between 1960 and 1972. The classified military satellite systems code-named CORONA, ARGON, and LANYARD acquired photographic images from space and returned the film to Earth for processing and analysis. The images were originally used for reconnaissance and to produce maps for U.S. intelligence agencies. In 1992, an Environmental Task Force evaluated the application of early satellite data for environmental studies. Since the CORONA, ARGON, and LANYARD data were no longer critical to national security and could be of historical value for global change research, the images were declassified by Executive Order 12951 in 1995. The first successful CORONA mission was launched from Vandenberg Air Force Base in 1960. The satellite acquired photographs with a telescopic camera system and loaded the exposed film into recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range of military applications. The intelligence community used Keyhole (KH) designators to describe system characteristics and accomplishments. The CORONA systems were designated KH-1, KH-2, KH-3, KH-4, KH-4A, and KH-4B. The ARGON systems used the designator KH-5 and the LANYARD systems used KH-6. Mission numbers were a means for indexing the imagery and associated collateral data. A variety of camera systems were used with the satellites. Early systems (KH-1, KH-2, KH-3, and KH-6) carried a single panoramic camera or a single frame camera (KH-5). The later systems (KH-4, KH-4A, and KH-4B) carried two panoramic cameras with a separation angle of 30 degrees with one camera looking forward and the other looking aft. The original film and technical mission-related documents are maintained by the National Archives and Records Administration (NARA). Duplicate film sources held in the USGS EROS Center archive are used to produce digital copies of the imagery. Mathematical calculations based on camera operation and satellite path were used to approximate image coordinates. Since the accuracy of the coordinates varies according to the precision of information used for the derivation, users should inspect the preview image to verify that the area of interest is contained in the selected frame. Users should also note that the images have not been georeferenced.
DOI: 10.5067/e1ql9hfq7a8m
title: MEaSUREs BedMachine Antarctica, Version 2
DOI: 10.5067/modis/myd02qkm.061
title: MYD02QKM MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 250m
DOI: 10.5281/zenodo.10666118
title: Review: A Systematic Review of Dairy Cow Health, Welfare, and Behaviour in Year Round Loose Range Housing - Data File

description: Systematic Review Data File
DOI: 10.5281/zenodo.13314067
title: Precession experiments based on AWIESM2-wiso

description: This dataset is from a set of 24 experiments performed using an isotope-enabled climate model AWIESM2-wiso. 

 

climatology_daily_temp_precip.tar.gz:  climatological daily surface temperature (var169), 2-m temperature (var167) and precipitation (var260).

climatology_monthly_temp_precip.tar.gz:  climatological monthly surface temperature (var169), 2-m temperature (var167) and precipitation (var260).

insolation.tar.gz:  climatological monthly incoming solar radiation.

delta18O_in_precip.tar.gz: precipitation-weighted mean delta18O in precipitation.

vegetation.tar.gz: vegetation related variables, for details please refer to jsbach_codes.txt.

moisture_source.tar.gz: mass-weighted mean moisture source locations and properties. The following gives a description of each variable:

                                             latitude:   mass-weighted mean open ocean evaporative source latitude.

                                             longitude:   mass-weighted mean open ocean evaporative source longitude.

                                             sst:   mass-weighted mean open ocean evaporative source sea surface temperature.

                                             rh2m:   mass-weighted mean open ocean evaporative source 2-m relative humidity.

                                             wind10:   mass-weighted mean open ocean evaporative source 10-m wind speed.

                                             land1/land2: percentage of precipitation sourced from continental evaporation.
DOI: 10.5281/zenodo.3831988
title: Outputs from Isca simulations with simple cloud scheme and SOCRATES radiation scheme

description: The outputs are from Isca (Vallis et al. 2018) AMIP-type (fixed SST) simulations with realistic continents, SOCRATES radiation scheme and the simple cloud scheme with different setups. For the files starting with "<em>socrates_realistic_continent_amip_fixed_SST_with_clouds_</em>", the file names are determined by the cloud scheme used in the simulation, and the naming rules are as follows: LS: Run with large-scale clouds only FD: Freeze-dry adjustment is applied on top of the LS run ALL: The marine low-level clouds are also included on the basis of the FD run linear_X: X is one of the LS, FD and ALL runs, in which the large-scale clouds are diagnosed from a linear function of RH Sundqvist_X: Same as Linear_X, but with Sundqvist scheme The simulations are performed for 20 years, and first 10 years are excluded for spin-up of the model. Each file contains monthly data from the last 10 years. The files are in T42 spectral resolution (about \(2.8^\circ \times 2.8^\circ\)) and have 25 sigma levels in vertical. <br> For the files starting with "<em>sensitivity_test_amip_fixed_sst_linear_clouds_</em>", the file names are determined by the perturbed parameters. <em>reff_liq / reff_ice</em>: the effective radius of liquid / ice cloud is perturbed <em>qcl</em>: the maximum of in cloud water mixing ratio a grid box can reach is perturbed The simulations are performed with the linear cloud scheme, and run for 10 years, and the first 5 years are excluded for spin-up.
DOI: 10.5281/zenodo.5036364
title: Data from ATTRICI 1.1 - counterfactual climate for impact attribution

description: Data as produced and presented in the publication <pre><strong>ATTRICI v1.1 - counterfactual climate for impact attribution</strong></pre> in Geoscientific Model Development. Abstract: Attribution in its general definition aims to quantify drivers of change in a system. According to IPCC WGII a change in a natural, human or managed system is attributed to climate change by quantifying the difference between the observed state of the system and a counterfactual baseline that characterizes the system’s behavior in the absence of climate change, where “climate change refers to any long-term trend in climate, irrespective of its cause". Impact attribution following this definition remains a challenge because the counterfactual baseline cannot be observed. Process-based and empirical impact models can fill this gap as they allow to simulate the counterfactual climate impact baseline. In those simulations, the models are forced by observed direct (human) drivers such as land use changes, changes in water or agricultural management but a counterfactual climate without long-term changes. We here present ATTRICI (ATTRIbuting Climate Impacts), an approach to construct the required counterfactual stationary climate data from observational (factual) climate data. Our method identifies the long-term shifts in the considered daily climate variables that are correlated to global mean temperature change assuming a smooth annual cycle of the associated scaling coefficients for each day of the year. The produced counterfactual climate datasets are used as forcing data within the impact attribution set-up of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a). Our method preserves the internal variability of the observed data in the sense that factual and counterfactual data for a given day have the same rank in their respective statistical distributions. The associated impact model simulations allow for quantifying the contribution of climate change to observed long-term changes in impact indicators and for quantifying the contribution of the observed trend in climate to the magnitude of individual impact events. Attribution of climate impacts to anthropogenic forcing would need an additional step separating anthropogenic climate forcing from other sources of climate trends, which is not covered by our method.
DOI: 10.5281/zenodo.6965870
title: Late Miocene to Pliocene calcareous nannofossil assemblage records and paleotemperature gradients from the NW Australian shelf (IODP Sites U1463, U1464)

description: IODP Expedition 356 drilled on the northwestern (NW) Australian shelf, recovering Miocene-Pleistocene sediments in an area where climate archives are scarce. In this work we investigated cores from two sites that are situated in two adjacent basins (IODP Site U1463 and U1464). Our analysis includes astronomically tuned records of relative abundance (%) and accumulation rates (N/cm<sup>2</sup> kyr) of the most common calcareous nannofossil species, estimates of the Shannon diversity index, as well as a ratio between dominant taxonomic groups termed the nannofossil stratification index (NSI) . Additionally, paleotemperature gradients between the NW Australian shelf area and the eastern Indian Ocean were calculated from previously published records. All the above records were used to reconstruct regional ocean circulation patterns, the relative intensity of seasonally flowing boundary currents, as well as changes in paleoproductivity and species dominance in the area between 6-3.5 million years ago (Ma).
description: This is a data supplement to the manuscript "Late Neogene nannofossil assemblages as tracers of ocean circulation and paleoproductivity over the NW Australian shelf" (submitted to Climate of the Past Discussions)
DOI: 10.5281/zenodo.7755650
title: Catalog of icequakes recorded in March 2019, in the Van Mijen Fjord, in Svalbard (Norway)

description: The files contain a catalog of icequakes waveforms recorded in March 2019, at Vallunden lake, in the Van Mijen Fjord, in Svalbard (Norway). The three components of velocity are available.