cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.900855
title: CICE output from Navy Earth System Prediction Capability (ESPC) for 2019021912

description: INITIALIZATION: 2019021912FORECASTS:daily at 00Z out to 45 days (t1068)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.828423
title: Gamma ray attenuation bulk density from IODP Hole 323-U1342B

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.902189
title: Wind Speed and Direction at USACE Field Research Facility 1980-2018

description: Over time, wind data has been recorded at 10+ distinct wind stations often with multiple stations active simultaneously. The highest quality records were selected to be included into a conglomerate. From 1981-1987, station locations included a tower near the main building and the roof of the main building. In 1987, measurements were additionally made at the end of the pier and, in 1994, the pier became their exclusive location.At each station, wind speed and direction were measured by either Weather Measure Skyvane anemometers or RM Young (RMY) marine anemometers. Both were mechanical anemometers whereby the action of the wind turns an impeller.In the early era, there was a gauge preference based on location (e.g., the pier location was preferred over the roof). In the modern era of multiple wind stations at the end of the pier, an algorithm chose a preferred station. Wind stations, and their preference, are listed in the Scientific Data paper. Most recently, station 1 or 2 is given preference depending on wind direction (the upwind sensor is preferred). If data from the preferred station passes QC, it is included in the conglomerate. If not, the same process is applied down the chain of preference until a record passes (stations 5 and 8 were never used).Wind speed and direction were recorded a 1 or 2 Hz with various record lengths. There are 3 main eras of sampling. Sampling schemes varied until near continuous sampling began in 1992. All previous sampling schemes were reanalyzed into 10 minute segments for calculating statistics. Record remainders are kept if they are at least 6 minutes but forced to 10 minute time steps.Data is in a netCDF file with variables (units): time (seconds), latitude (deg. N), longitude (deg. W), sensorID, sensorElevation (m), windSpeed (m/s), windGust (m/s), windDirection (deg.), qcFlagSpeed, qcFlagDirection. time is unix epoch time, sensorID is digit code representing unique ID and sensor preference, sensorElevation is relative to NAVD88, windSpeed is 10 minute average, windGust is highest 5 second average, windDirection is coming from convention - clockwise from true North, qcFlagSpeed & qcFlagDirection are indications of data quality - 1 = passed, 3 = questionable, and 4 = fail.Please see the paper for full documentation.
DOI: 10.1594/pangaea.828732
title: P-Wave velocity (PWC) from IODP Hole 336-U1383D

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.881443
title: (Fig7F) Multichannel seismic data from the Congo deep sea fan, profile GeoB08-333
DOI: 10.1594/pangaea.898057
title: Fladen Ground Artica islandica increment widths, stable carbon geochemistry and herring recruitment reconstruction

description: Tab named "Incrmnt. measurements, chron." contains annual growth increment measurements in micrometers of fourteen Arctica islandica shells collected from the Fladen Ground in the North Sea at coordinates 58.994° N, 0.291° E.Specimens 0401246, 0401254, 0401258, 0401260, 0401262 were originally described in Butler et al. (2009).Additionally, "Incrmnt. measurements, chron." contains the detrended and normalised increment measurements and a growth increment chronology. These were calculated with the standard dendrochronology software ARTSAN using a negative exponential function. The growth increment chronology also includes the average shell-pair correlation in a 30-year sliding window (r̄) and the expressed population signal for the same sliding window (EPS). Tab named "δ13C, oSE, δ13CṠ" contains stable carbon isotope values derived from eight A. islandica shells shown in tab "Incrmnt. measurements, chron." and two other shells collected from the same location. The measurements also include the internal precision (sigma) and the relative weight of each sample (inverse of sigma squared).Additionally, "δ13C, oSE, δ13CṠ" includes a calculation of the oceanic Suess effect based on a 2-term weighted Fourier regression of δ13C. δ13CṠ is defined as δ13C - oSE. The last two columns are the weighted average of δ13CṠ and the weighted sigma average. Tab named "MD and HR measurements" contains the counts of maximum diatom assemblage in the standard area B2 of the Sir Alister Hardy Foundation for Ocean Science Continuous Plankton Recorder and the herring recruitment count for the North Sea, English Channel, Skagerrak and Kattegat. The counts are shown in linear and logarithmic scales and were obtained from ICES (2018) and Johns (2016).Tab named "Eq. 7 results" contains the reconstructed herring recruitment for the North Sea using an equation developed in this study from 1551 to 2005. Tab named "CPUE" contains the catch per unit effort (C/E) of Dutch, English (Lowestoft) and Scottish (Perterhead, Southeast Scotland) herring fisheries. The catch is given in kilograms or 10^3 kilograms and the effort is defined as either the number of boats or the total area of driftnet. The data comes from Coull (1986), Cushing (1968), Jones et al. (2016) and Poulsen (2008).
description: Supplement to: Estrella-Martínez, Juan; Schöne, Bernd R; Thurstan, Ruth; Capuzzo, Elisa; Scourse, James D; Butler, Paul G (2019): Reconstruction of Atlantic herring (Clupea harengus) recruitment in the North Sea for the past 455 years based on the δ13C from annual shell increments of the ocean quahog (Arctica islandica). Fish and Fisheries, 20(3), 537-551
DOI: 10.1594/pangaea.897547
title: A Landsat-based national-scale map of cropping practices for Turkey (2015)

description: Cropping practices underlie substantial spatial and temporal variability, which can be captured through the analysis of image time series. Temporal binning helps to overcome limitations concerning operability and repeatability for mapping large areas and can improve the thematic detail and consistency of maps in agricultural systems. We used eight-day temporal features for mapping five cropping practices on annual croplands at 30 m spatial resolution across Turkey. A total of 2,403 atmospherically corrected and topographically normalized Landsat Collection 1 L1TP images of 2015 were used to compute gap-filled eight-day time series of Tasseled Cap components and annual descriptions thereof. We used these features for binary cropland mapping, and subsequent discrimination of five cropping practices: Spring and winter cropping, summer cropping, semi-aquatic cropping, double cropping, and greenhouse cultivation. The map has an overall accuracy of 90%. Class accuracies of winter and spring, summer, and double cropping were robust, while omission errors for semi-aquatic cropping and greenhouse cultivation were high. Note that the map contains information on cropping practices for areas, which were identified as croplands with high certainty. The file is of GeoTiff format and contains the following classes:1: Winter/spring cropping2: Summer cropping3: Semi-aquatic cropping4: Double-cropping6: Greenhouse cultivationFor details, please see the publication or contact Philippe Rufin mailto:philippe.rufin@geo.hu-berlin.de.
description: Supplement to: Rufin, Philippe; Frantz, David; Ernst, Stefan; Rabe, Andreas; Griffiths, Patrick; Özdoğan, Mutlu; Hostert, Patrick (2019): Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning. Remote Sensing, 11(3), 232
DOI: 10.1594/pangaea.899168
title: Estimating nitrogen and phosphorus concentrations in streams and rivers across the Contiguous United States

description: Nitrogen (N) and Phosphorus (P) are essential nutritional elements for life processes in water bodies. However, in excessive quantities, they may represent a significant source of aquatic pollution. Eutrophication has become a widespread issue rising from a chemical nutrient imbalance and is largely attributed to anthropogenic activities. In view of this phenomenon, we present a new geo-dataset to estimate and map the concentrations of N and P in their various chemical forms at a spatial resolution of 30 arc-second (~1 km) for the conterminous US. The models were built using Random Forest (RF), a machine learning algorithm that regressed the seasonally measured N and P concentrations collected at 62,495 stations across the US streams for the period of 1994-2018 onto a set of 47 in-house built environmental variables that are available at a near-global extent. The seasonal models were validated through internal and external validation procedures and the predictive powers measured by Pearson Coefficients reached approximately 0.66 on average.
description: Updated version, 2020-03-04.
description: Supplement to: Shen, Longzhu; Amatulli, Giuseppe; Sethi, Tushar; Raymond, Peter; Domisch, Sami (accepted): Estimating nitrogen and phosphorus concentrations in streams and rivers, within a machine learning framework. Scientific Data
DOI: 10.1594/pangaea.782430
title: Settlement characteristics of quartz grains on certain sediment surface forms of tidal beaches along the Baltic and Wadden Sea

description: Sind in einem Sediment, das unter dem Einfluß einer Strömung abgelagert wurde, richtungsanzeigende Indikatoren vorhanden, so werden sie je nach den momentanen Bedingungen, die zur Zeit der Sedimentation herrschten, ein mehr oder weniger gutes Abbild der Strömungsverhältnisse liefern. Zahlreich sind Strömungsanzeiger organischen Ursprungs, wie z. B. Molluskenschalen u. a. Doch auch anorganische Partikel in Psephiten und Psammiten lassen häufig in ihrer Lagerung eine Abhängigkeit von der Strömungsrichtung erkennen: sie sind "geregelt".Die Autoren der verschiedenen Arbeiten, in denen Regelungen in klastischen Sedimenten untersucht wurden, gingen von der Tatsache aus, daß viele Sedimentpartikel statistisch gesehen keine Kugelform, sondern eine längliche Gestalt besitzen. Die langen Achsen dieser länglich geformten Sedimentkörner werden im folgenden als "Langachsen" bezeichnet. In Sanden sind es vor allem Quarzkörner von annähernd zylindrischer oder ellipsoidischer Form ("Langquarze"), die geeignet sind, durch die Lage ihrer Langachsen strömungsbedingte Regelungen anzuzeigen. Mit der Orientierung solcher Langquarze in marinen und fluviatilen Sanden haben sich bisher vorwiegend amerikanische Autoren befaßt. So untersuchten z. B. Dapples & Rominger (1945) die Sandsohle eines künstlichen Gerinnes. Sie stellten fest, daß die Hauptorientierungsrichtung der Langquarze mit der Strömungsrichtung des fließenden Wassers zusammenfiel. Dabei zeigte das spitze Ende tropfenförmiger ("polarer") Quarze stromab und das stumpfe Ende stromauf. Nanz (1955) maß die Langachsenrichtungen von Langquarzen in Sanden des nassen und trockenen Strandes von Texas und Florida und fand, daß sich diese Achsen vorwiegend parallel zur Auf- und Ablaufrichtung der Wellen und damit senkrecht zum Streichen der Strandlinie einregeln. Curray (1956 b) beobachtete die gleiche Regelung. Er wies ferner darauf hin, daß in Strandwällen und Strandhaken die bevorzugte Richtung der Langquarze senkrecht zum Streichen des Sedimentkörpers liegt. Zahlreiche weitere Autoren beschäftigten sich ebenfalls mit den Fragen der Langquarzregelung, so Schwarzacher (1951), Griffith & Rosenfeld (1953), Vollbrecht (1953), Rusnak (1956), Wendler (1956), Sriramadas (1957). Ganz allgemein war das Ergebnis aller dieser Untersuchungen, daß die aus einer Strömung abgelagerten Langquarze eine Regelung parallel zur Strömungsrichtung zeigen. Eigene Untersuchungen und Überlegungen ergaben, daß die bisher veröffentlichten Ergebnisse und die an sie angeschlossenen Vorstellungen z. T. bestätigt werden können, jedoch z. T. auch erheblich modifiziert werden müssen.
description: Supplement to: Nachtigall, Karl H (1962): Über die Regelung von Langquarzen in aquatisch sedimentierten Sanden. Meyniana, 12, 9-24
DOI: 10.1594/pangaea.897789
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2019011712

description: INITIALIZATION: 2019011712FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.899725
title: Maule MT EDI data and resistivity model profile

description: The subduction zone of central Chile (36° S) has produced some of the world's largest earthquakes and significant volcanic eruptions. Understanding the fluid fluxes and structure of the subducting slab and over-riding plate can provide insight into the tectonic processes responsible for both seismicity and magmatism. Magnetotellurics (MT) is a geophysical method which is sensitive to conductive anomalies (e.g. partial melt and brines) in the subsurface. This dataset includes MT EDI data files for 38 sites collected along a profile in central Chile and western Argentina in 2016 and 2017. It includes 19 long period (10 s to 10000 s) MT stations and 19 broadband (0.001 s to 1000 s) MT stations. Four of the broadband MT sites were collected by Alterra Power Corp (now Innergex Renewable Energy Inc.) labelled MU-002, MU-003, MU-011, and MU-019 (Hickson et al., 2011). Four of the long period sites in Argentina are taken from Burd et al. (2014). This dataset also includes two geo-referenced 2-D resistivity models and the inversion parameters used to produce the model. The nonlinear conjugate gradient algorithm of Rodi and Mackie (2001) was used to produce this model. The first is the unconstrained case where no slab tear was imposed (MODEL_UNCONSTRAINED). In this folder is the geo-referenced model (longitude, latitude, depth (km b.s.l.), resistivity) as well as a folder containing the inversion input files. The second is the constrained case where a slab tear was imposed (MODEL_CONSTRAINED). This also includes a geo-referenced model (longitude latitude depth resistivity) text file and a folder containing the inversion input files.
description: Supplement to: Cordell, Darcy; Unsworth, Martyn J; Diaz, Daniel; Reyes-Wagner, Valentina; Currie, Claire A; Hicks, Stephen P (2019): Fluid and Melt Pathways in the Central Chilean Subduction Zone Near the 2010 Maule Earthquake (35–36°S) as Inferred From Magnetotelluric Data. Geochemistry, Geophysics, Geosystems, 20(4), 1818-1835
DOI: 10.1594/pangaea.665193
title: Oceanography at CTD/bottle station IFREMER_2033
DOI: 10.1594/pangaea.899183
title: Late Cretaceous climate simulations produced with COSMOS in a coupled atmosphere-ocean configuration in NetCDF format

description: We provide the results of 11 Late Cretaceous climate simulations (Tab. 1 in Niezgodzki et al. [2019, doi:10.1016/j.gloplacha.2019.03.011]) produced with COSMOS in a coupled atmosphere-ocean configuration. Five of these experiments use a 3 x pre-industrial (PI) CO2 level (840 ppm) while 6 of them were run with 4xPI CO2 (1120 ppm). The experiments with the same CO2 levels differ by gateway configurations between the Arctic Ocean and North proto-Atlantic basin. In spin-up experiments we employ Maastrichtian (~70 Ma) paleogeography of Markwick and Valdes [2004, doi:10.1016/j.palaeo.2004.06.015]. More information about model scenarios and model set-up can be found in Niezgodzki et al. [2019, doi:10.1016/j.gloplacha.2019.03.011]. Here we publish simulated winter (DJF) surface temperatures (tsurf) and salinity (SAO), averaged March-April (Ma-Ap) sea surface temperature (THO) and SAO and monthly sea-ice compactness (SICOMO) of each experiment. Additionally, for two gateway configurations we show DJF and summer (JJA) 10m meridional (v10) and zonal (u10) wind speeds as well as JJA shortwave net surface radiation (srads), net clear sky surface radiation (srafs), longwave net surface radiation (trads) and clear sky surface radiation (trafs).
description: Supplement to: Niezgodzki, Igor; Tyszka, Jaroslaw; Knorr, Gregor; Lohmann, Gerrit (2019): Was the Arctic Ocean ice free during the latest Cretaceous? The role of CO2 and gateway configurations. Global and Planetary Change, 177, 201-212
DOI: 10.1594/pangaea.899723
title: Mercury concentrations in biota in the Mediterranean Sea, a compilation of 40 years of surveys

description: As a part of the 2017-2019 GEO Work Programme, the Global Observation System for Mercury (GOS4M) Flagship (http://gos4m.org) is aimed to support the implementation of the Minamata Convention on Mercury. This database has been constructed with data on mercury in Mediterranean marine biota obtained from all available literature and public datasets that span since the beginning of '70. The M2B database includes 24465 records retrieved from 541 sources that include Animalia, Plantae and Chromista Kingdoms. All records were associated to geographical coordinates and controlled to avoid duplication as several of them were obtained from grey literature. The following parameters have been retrieved when available: Country; Location; FAO fisheries region; Latitude; Longitude; Geographical precision code; Kingdom; Class; Order; Family; Species scientific name; Species common name; Species 6-digit codde; Marine habitat; Trophic level; Reference for Trophic level; Sampling Depth; Sample Lenght; Sample Weight; Age; Sex; Sampled tissue; Hg species; Tissue water content; Mean Hg concentration; Minumum Hg concentration; Maximum Hg concentration; Standar Deviation; Standard Error; Sample size; Reference source; Reference id number; Sampling date; Remarks.
description: Supplement to: Cinnirella, Sergio; Bruno, Delia Evelina; Pirrone, Nicola; Horvat, Milena; Živković, Igor; Evers, David C; Johnson, Sarah; Sunderland, Elsie M (2019): Mercury concentrations in biota in the Mediterranean Sea, a compilation of 40 years of surveys. Scientific Data, 6(1), 205
DOI: 10.1594/pangaea.897790
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2019011812

description: INITIALIZATION: 2019011812FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.897791
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2019011912

description: INITIALIZATION: 2019011912FORECASTS:12-hrly out to 7.5 days (t180)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.548265
title: Physical oceanography at CTD station Bm_1997-08-26_4, Bajo Molle, Chile
DOI: 10.1594/pangaea.899176
title: 3D Lava flow mapping at Etna volcano from Pléiades-derived DEM differences

description: We present two 2-meter Digital Elevation Models (DEMs) of Mount Etna obtained from tri-stereo Pléiades images acquired on 24 December 2015 and 18 July 2016. The 3D processing of the Pléiades imagery was performed using the free and open source MicMac photogrammetric library (http://micmac.ensg.eu) developed by the French IGN (Institut Géographique National).The covered area is almost the same for both the DEMs (about 15 × 15 km) and includes the summit area of Etna volcano and almost all the Valle del Bove area. The presented DEMs are not aligned, but after co-registration, the standard deviation of their height difference was found equal to ∼1.6 m (in an area not covered by volcanic deposits emplaced on May 2016). The DEMs are provided as GeoTIFF raster (dem20151224_2m.tiff and dem20160718_2m.tiff), using the WGS84 datum and the UTM projection, zone 33 North (EPSG 32633). Missing areas are due to snow cover, very low texture and/or terrain shadows.Pléiades data were available through the Space Volcano Observatory with Pléiades (SVOP) project coordinated by Pierre Briole (http://volcano.iterre.fr/svo_projects). We are grateful to Olivier Galland, Luc Girod and Christopher Nuth for their assistance with the use of the MicMac software. This work was developed within the framework of the Laboratory for Technological Advance in Volcano Geophysics (TecnoLab) of the INGV in Catania (Italy) and was partially supported from the "Advanced tools and methods for computational fluid-dynamics"(ATHOS) research programme.
description: Supplement to: Ganci, Gaetana; Cappello, Annalisa; Bilotta, Giuseppe; Hérault, Alexis; Zago, Vito; Del Negro, Ciro (2019): 3D Lava flow mapping of the 17-25 May 2016 Etna eruption using tri-stereo optical satellite data. Annals of Geophysics, 62(2), 1-6
DOI: 10.1594/pangaea.879499
title: Daily mean stream temperatures at station Piron2, Central Spain
DOI: 10.15468/dl.ns3pdm
title: Occurrence Download

description: A dataset containing 678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Macromitrium longifolium (Hook.) Brid."
 ]
}

 The dataset includes 678 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031275-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.858002
title: (Table 3) Carbon content, carbon isotope composition oxyogen isotope compositions from serpentinite bulk rocks of the Northern Apennine ophiolite