cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.816158
title: Respiration rates of tropical Atlantic copepods from the Cape Verde Islands

description: Copepods were sampled at two sampling sites off the island of São Vicente, Cape Verde Archipelago, in spring (March/April) and early summer (May/June) of 2010. The two sampling sites were located in Mindelo Bay (16.90N, 25.01W; bottom depth 22 m) and around 8 km off the town of São Pedro (16.77N, 25.12W; bottom depth 800 m). Samples were collected on board the local fishing vessel 'Sinagoga' using a WP-2 net (Hydrobios, 0.26 m**2 mouth opening, 200 µm mesh size). The net was either applied as a driftnet, drifting for 10 min in 22 to 0 m depth below the surface, or it was towed vertically with a towing speed of 0.5 m/s**1. For stratified sampling, the net was deployed in repetitive hauls from 560 to 210 m, from 210 to 80 m, and from 80 to 0 m in March/April and from 600 to 300 m, 300 to 100 m, and 100 to 0 m in May/June. Additional depth-integrated hauls were conducted from 600-0 m or 500-0 m during both field campaigns. Respiration rates of epi- and mesopelagic calanoid copepods were measured in the land-based laboratory at the Instituto Nacional de Desenvolvimento das Pescas (INDP) in Mindelo. Oxygen consumption was measured non-invasively by optode respirometry at three different ambient temperatures (13, 18, and 23°C) with a 10-channel oxygen respirometer (Oxy-10 Mini, PreSens Precision Sensing GmbH, Regensburg, Germany). All experiments were run in darkness in temperature-controlled incubators (LMS Cooled Incubator Series 1A, Model 280) equipped with water baths to ensure constant temperatures throughout the experiments, tolerating a variation of ±1°C.
description: Depth, water describes the mid depth of the sampling intervall.
description: Supplement to: Teuber, Lena; Kiko, Rainer; Séguin, François; Auel, Holger (2013): Respiration rates of tropical Atlantic copepods in relation to the oxygen minimum zone. Journal of Experimental Marine Biology and Ecology, 448, 28-36
DOI: 10.1594/pangaea.863116
title: KOSMOS Finland 2012 mesocosm study: environmental parameter

description: Values measured in mesocosm M8
DOI: 10.1594/pangaea.863649
title: Dimethylsulphide and halocarbon concentrations taken from 10m integrated samples during the 2012 KOSMOS Finland Mesocosm experiment

description: The Baltic Sea is a unique environment as the largest body of brackish water in the world. Acidification of the surface oceans due to absorption of anthropogenic CO2 emissions is an additional stressor facing the pelagic community of the already challenging Baltic Sea. To investigate its impact on trace gas biogeochemistry, a large-scale mesocosm experiment was performed off Tvärminne Research Station, Finland in summer 2012. During the second half of the experiment, dimethylsulphide (DMS) concentrations in the highest fCO2 mesocosms (1075-1333 µatm) were 34 % lower than at ambient CO2 (350 µatm). However the net production (as measured by concentration change) of seven halocarbons analysed was not significantly affected by even the highest CO2 levels after 5 weeks exposure. Methyl iodide (CH3I) and diiodomethane (CH2I2) showed 15 % and 57 % increases in mean mesocosm concentration (3.8 ± 0.6 pmol L-1 increasing to 4.3 ± 0.4 pmol L-1 and 87.4 ± 14.9 pmol L-1 increasing to 134.4 ± 24.1 pmol L-1 respectively) during Phase II of the experiment, which were unrelated to CO2 and corresponded to 30 % lower Chl-? concentrations compared to Phase I. No other iodocarbons increased or showed a peak, with mean chloroiodomethane (CH2ClI) concentrations measured at 5.3 (± 0.9) pmol L-1 and iodoethane (C2H5I) at 0.5 (± 0.1) pmol L-1. Of the concentrations of bromoform (CHBr3; mean 88.1 ± 13.2 pmol L-1), dibromomethane (CH2Br2; mean 5.3 ± 0.8 pmol L-1) and dibromochloromethane (CHBr2Cl, mean 3.0 ± 0.5 pmol L-1), only CH2Br2 showed a decrease of 17 % between Phases I and II, with CHBr3 and CHBr2Cl showing similar mean concentrations in both Phases. Outside the mesocosms, an upwelling event was responsible for bringing colder, high CO2, low pH water to the surface starting on day t16 of the experiment; this variable CO2 system with frequent upwelling events implies the community of the Baltic Sea is acclimated to regular significant declines in pH caused by up to 800 µatm fCO2. After this upwelling, DMS concentrations declined, but halocarbon concentrations remained similar or increased compared to measurements prior to the change in conditions. Based on our findings, with future acidification of Baltic Sea waters, biogenic halocarbon emissions are likely to remain at similar values to today, however emissions of biogenic sulphur could significantly decrease from this region.
description: Supplement to: Webb, Alison L; Leedham-Elvidge, Emma; Hughes, Claire; Hopkins, Frances E; Malin, Gill; Bach, Lennart Thomas; Schulz, Kai Georg; Crawfurd, Katharine J; Brussaard, Corina P D; Stuhr, Annegret; Riebesell, Ulf; Liss, Peter S (2016): Effect of ocean acidification and elevated fCO2 on trace gas production by a Baltic Sea summer phytoplankton community. Biogeosciences, 13(15), 4595-4613
DOI: 10.1594/wdcc/en_all_measurements_2000-2010
title: EARLINET all observations (2000-2010)

description: Project: A European Aerosol Research Lidar Network to Establish an Aerosol Climatology - Aerosols affect life on earth in several ways. They play an important role in the climate system; the effect of aerosols on the global climate system is one of the major uncertainties of present climate predictions. They play a major role in atmospheric chemistry and hence affect the concentrations of other potentially harmful atmospheric constituents, e.g. ozone. They are an important controlling factor for the radiation budget, in particular in the UV-B part of the spectrum. At ground level, they can be harmful, even toxic, to man, animals, and plants. Because of these adverse effects that aerosols can have on human life, it is necessary to achieve an advanced understanding of the processes that generate, redistribute, and remove aerosols in the atmosphere. A quantitative dataset describing the aerosol vertical, horizontal, and temporal distribution, including its variability on a continental scale, is necessary. The dataset is used to validate and improve models that predict the future state of the atmosphere and its dependence on different scenarios describing economic development, including those actions taken to preserve the quality of the environment. The EARLINET data set is the most comprehensive compilation of data available for this purpose. This project description is taken from: http://www.earlinet.org/index.php?id=earlinet_homepage Summary: This collection contains all measurements that have been performed in the frame of the EARLINET project during the period April 2000 - December 2010. Some of these measurements are also part of the collections 'Calipso', 'Climatology', 'SaharanDust' or 'VolcanicEruption'. In addition this collection also contains measurements from the categories 'Cirrus', 'DiurnalCycles', 'ForrestFires', 'Photosmog', 'RuralUrban', and 'Stratosphere'. This collection also contains measurements not devoted to any of the above categories. More information about these categories and the contributing stations can be found in the file 'EARLINET_general_introduction.pdf' accompanying this dataset.
DOI: 10.17632/nk3zbvd5h8.1
title: GalliformeSpectra: A Hen Breed Dataset

description: This dataset includes a variety of low-resolution images showcasing ten globally recognized hen breeds. These breeds were carefully chosen from different parts of the world to ensure a diverse and comprehensive representation. The dataset serves as a visual resource, offering a detailed depiction of the unique characteristics of these hen breeds, which aids in their accurate classification. It consists of ten distinct categories: Bielefeld, Blackorpington, Brahma, Buckeye, Fayoumi, Leghorn, Newhampshire, Plymouthrock, Sussex, and Turken, comprising a total of 1010 original JPG images that were later resized and converted to PNG format. After applying augmentation techniques, the total number of images increased to 5050. The dataset is organized into three variations: one with original images, another with resized images, and a third with augmented images. Each variation is further divided into ten separate folders, each dedicated to a specific hen breed. The images vary in size and have been subjected to data augmentation, which is essential for training machine vision deep learning models. Augmentation includes transformations like left and right flips, random adjustments in brightness (0.7-1.1), and random zoom (90% area). Consequently, an additional 505 augmented images were created from the original images in each category, resulting in a dataset comprising a total of 5050 augmented images (505 per category).
DOI: 10.18462/iir.icr.2023.0516
title: A residual entropy scaling approach for viscosity of refrigerants, other fluids and their mixtures.
DOI: 10.4225/08/523168703dcc5
title: CAWCR Wave Hindcast 1979-2010

description: Ocean wave hindcast, using the WaveWatch III v4.08 wave model forced with NCEP CFSR hourly winds and daily sea ice, 1979-2010.

The dataset contains spectral wave output at 3683 points, as well as gridded outputs on a global 0.4 degree (24 arcminute) grid, with nested Australian and western Pacific subgrids of 10 and 4 arcminutes resolution. For further information, see Durrant et al (in prep)**.

N.B. January 1979 is a "model spin-up" month and data from this month should not be used for research purposes.

Spectral wave parameters output:
time; station; longitude; latitude;
frequency; frequency1; frequency2 (centre, upper and lower bands);
direction;
Efth (sea surface wave directional variance spectral density);
depth;
u10m; udir (wind speed and direction 10m above surface);
curr; currdir (sea water speed and direction).

Gridded parameters output:
longitude; latitude; time;
MAPSTA (status map) ;
U10; V10 (Eastward and Northward wind);
CI (sea ice area fraction) ;
hs (significant wave height);
wl (mean wave length) ;
t02 (mean wave period Tm02); t (mean period Tm01); tm0m1(mean period Tm0-1);
CgE (wave energy flux);
fp (peak wave frequency);
dir (mean wave direction); spr (directional spread); dp (peak direction);
hs0; hs1; hs2; hs3 (significant wave height partitions);
tp0; tp1; tp2; tp3 (peak period partitions);
lp0; lp1; lp2; lp3 (mean wave length partitions);
th0; th1; th2; th3 (mean wave direction partitions);
si0; si1; si2; si3 (directional spread partitions);
ws0; ws1; ws2; ws3 (wind sea fraction partitions); wsf (wind sea fraction);
pnr (number of wave partitions);
dtd (dynamic time step);
uust; vust (eastward, northward friction velocities);
cha (Charnock coefficient);
faw (wind to wave energy flux);
utaw; vtaw (eastward, northward wave supported wind stress);
utwa; vtwa (eastward, northward wave to wind stress);
wcc (whitecap coverage);
Sxx; Syy; Sxy (radiation stress components);
utwo; vtwo (eastward, northward wave to ocean stress);
uuss; vuss (eastward, northward surface stokes drift).

Please note that the user is required to acknowledge the source of the data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.
DOI: 10.5067/measures/cryosphere/nsidc-0477.003
title: MEaSUREs Global Record of Daily Landscape Freeze/Thaw Status, Version 3
DOI: 10.5067/modis/mod04_l2.006
title: MOD04_L2 MODIS/Terra Aerosol 5-Min L2 Swath 10km
DOI: 10.5067/terra+aqua/ceres/ebaf-toa_l3b.002.8
title: CERES Level 3B EBAF-TOA Terra+Aqua netCDF file - Edition 2.8
DOI: 10.5281/zenodo.167070
title: Earth2Observe/Water-Resource-Reanalysis-V1: Revised Release

description: The eartH2Observe  water resources reanalysis (WRR-tier1) multi model ensemble was produced by 8 project partners and 2 associate partners. The modelling systems include four land surface models, 5 global hydrological models and a simple water balance model and covers the period 1979 -- 2012. This  version of the WRR is based on the current modelling systems of each group forced with a state-of-the-art atmospheric reanalysis.  A description of the multi model ensemble can be found in earth2observe deliverable 5.1 and Schellekens et. al. (under discussion in essd).

See:


	http://earth2observe.github.io/water-resource-reanalysis-v1 (direct link to data and analysis) 
	http://wci.earth2observe.eu (data portal)
DOI: 10.5281/zenodo.7303625
title: Kenya_CLEWS

description: The Kenya-CLEWS model involves a model developed in the Open Source Energy Modeling System, OSeMOSYS. The use of GIS data to have an approximation of different land uses such as artificial surfaces, cropland, grassland, and tree covers, among others. Sectors include the cooking sector for urban and rural areas since its direct interconnection with forest land, i.e., wood and charcoal for cooking. Other cooking technologies, such as gas, kerosene, and electric stoves, are also included in the model. This model version incorporates crops that significantly impact the food value chain, such as wheat and maize.
DOI: 10.5285/45814db8-56cd-44f2-b3a4-92e41eaaff3f
title: Collection of Multi-model Data from the Arctic Predictability and Prediction on Seasonal-to-Interannual Time-scales (APPOSITE) Project

description: The main goal of APPOSITE was to quantify the timescales on which Arctic climate is predictable. In order to achieve this, a coordinated set of idealised initial condition predictability experiments with seven general circulation models was conducted. This was the first intercomparison project designed to quantify the predictability of Arctic climate on seasonal to interannual timescales. This data is public and citable (DOI: 10.5285/45814db8-56cd-44f2-b3a4-92e41eaaff3f).
DOI: 10.5439/1258029
title: Polarimetric Scattering Database for Non-spherical Ice Particles at Microwave Wavelengths

description: A database containing polarimetric single-scattering properties of various types of ice particles at millimeter to centimeter wavelengths is presented. This database is complementary to earlier ones in that it contains complete (polarimetric) scattering property information for each ice particle - 44 plates, 30 columns, 405 branched planar crystals, 660 aggregates, and 640 conical graupel - and direction of incident radiation but is limited to four frequencies (W-, Ka-, Ku- and X-bands), does not include temperature dependencies of the single-scattering properties and does not include scattering properties averaged over randomly oriented ice particles. Rules for constructing the morphologies of ice particles from one database to the next often differ; consequently, analyses that incorporate all of the different databases will contain the most variability, while illuminating important differences between them.
DOI: 10.5676/eum_saf_cm/rad_mviri/v001
title: CM SAF Surface Radiation MVIRI Data Set 1.0
title: Monthly Means / Daily Means / Hourly Means

description: The CM SAF Surface Radiation MVIRI Data Set is a satellite-based climatology of the surface
      irradiance, the surface direct irradiance and the effective cloud albedo derived from
      satellite-observations from the visible channel of the MVIRI instruments onboard the
      geostationary Meteosat satellites. The data are available from 1983 to 2005 and cover the
      region ±70° longitude and ±70° latitude. The products are available
      as monthly, daily, and hourly averages on a regular latitude/longitude grid with a spatial
      resolution of 0.03° x 0.03° degrees. The Swiss National Supercomputing Centre
      (CSCS) is gratefully acknowledged for providing the computational services needed for
      developing, processing and storing the 23 year long MVIRI-based surface radiation climate data set.
DOI: 10.12770/8fe1cdcb-f4ea-4c81-8543-50f0b39b4eca
title: Cartes de répartition des couvertures de Sargasses dérivées de MODIS sur l'Atlantique

description: Cartes journalières de distribution des couvertures de Sargasses dérivées des observations MODIS-Terra et MODIS-Aqua sur l'océan Atlantique, calculées avec l'algorithme SAREDA (SArgassum Evolving Distribution in the Atlantic) basé sur l'indice AFAI (Alternative Floating Algae Index).
DOI: 10.14291/tccon.ggg2014.wollongong01.r0/1149291
title: TCCON data from Wollongong (AU), 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 Wollongong, Australia.
description: <br>Cite this record as:<br>Griffith, D. W. T., Velazco, V. A., Deutscher, N. M., Paton-Walsh, C., Jones, N. B., Wilson, S. R., Macatangay, R. C., Kettlewell, G. C., Buchholz, R. R., & Riggenbach, M. O. (2014). <i>TCCON data from Wollongong (AU), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.WOLLONGONG01.R0/1149291<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 501<br>Unique Downloads: 25<br> between September 08, 2017 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.1594/pangaea.849054
title: Porosity in sediment cores from the central Arctic Ocean during POLARSTERN cruise ARK-XXVII/3 from August-September 2012

description: During the RV Polarstern cruise ARK-XXVII/3 to the Arctic Ocean in summer 2012, when sea ice declined to a record minimum bottom, sediment cores were collected with a TV-guided multicorer at stations in the Nansen and Amundsen basin. For porosity measurements cores were subsampled and samples were stored at 4°C until analyzes in the home laboratory.
DOI: 10.18112/openneuro.ds000228.v1.1.0
title: MRI data of 3-12 year old children and adults during viewing of a short animated film
DOI: 10.18128/d050.v13.0
title: National Historical Geographic Information System: Version 13.0

description: The National Historical Geographic Information System (NHGIS) provides free online access to summary statistics and GIS boundary files for U.S. censuses and other nationwide surveys from 1790 through the present. GIS files include: counties and states since 1790, census tracts since 1910, metropolitan areas since 1950, place and county subdivision boundaries since 1980, place points since 1900, all standard census reporting areas since 1990, and SABINS school attendance areas for 2009-12. Summary tables from decennial censuses and the American Community Survey include county and state tables since 1790; census tract tables since 1910; and tables for all original census summary levels, down to census blocks, since 1970. Highlights of additional summary tables include County Business Patterns data (annual, 1970-2002), vital statistics for counties and states (annual, 1915-2007), agricultural census data (1840-1950), religious bodies data (1850-1952), manufacturing census data (1840-1940), and 2010 census data for SABINS school attendance areas. NHGIS also includes time series tables that provide comparable statistics from multiple censuses linked together with standardized categories and codes for all years. NHGIS data are available through an online access system and are available free of charge to registered users at http://nhgis.org.
DOI: 10.21242/23141.2010.00.00.6.1.0
title: Fallpauschalenbezogene Krankenhausstatistik (DRG-Statistik) 2010, Remote-SUF, Version 0

description: Die DRG-Statistik ist eine jährliche Vollerhebung aller nach Fallpauschalen abgerechneten vollstationären Krankenhausfälle innerhalb Deutschlands. Die Mikrodaten können ab dem Berichtsjahr 2005 über das FDZ beantragt werden.
 Das auf Fallpauschalen basierende DRG-Vergütungssystem wurde bei der Novellierung der Krankenhausfinanzierung im Jahr 2000 eingeführt (DRG steht für "Diagnosis Related Groups"). Seit dem 1. Januar 2004 ist die Anwendung dieses Abrechnungssystems für allgemeine Krankenhäuser verpflichtend.
 Bei der DRG-Statistik handelt sich um eine Sekundärstatistik. Die Daten erheben nicht die Statistischen Ämter des Bundes und der Länder, sondern das Institut für das Entgeltsystem im Krankenhaus (InEK). Die Daten für die DRG-Statistik werden den Datensätzen entnommen, die die Krankenhäuser zu Abrechnungszwecken an das InEK schicken. Das InEK übermittelt eine gesetzlich genau definierte Merkmalsauswahl dieser umfangreichen Struktur- und Leistungsdaten an das Statistische Bundesamt.
Die DRG-Statistik beinhaltet die kontinuierliche vollstationäre Behandlung im Krankenhaus (Behandlungskette) unabhängig von der Zahl der dabei durchlaufenden Fachabteilungen. Im Vordergrund stehen insbesondere Angaben zu Operationen und Behandlungsmaßnahmen, Art und Höhe der abgerechneten Entgelte (DRG-Fallpauschale, effektive Bewertungsrelation, Casemix) sowie Haupt- und Nebendiagnosen. Daneben werden soziodemographische Merkmale der Krankenhausfälle, wie Alter, Geschlecht und Wohnregion, erfasst.
DOI: 10.21242/23141.2019.00.00.6.1.0
title: Fallpauschalenbezogene Krankenhausstatistik (DRG-Statistik) 2019, Remote-SUF, Version 0

description: Die DRG-Statistik ist eine jährliche Vollerhebung aller nach Fallpauschalen abgerechneten vollstationären Krankenhausfälle innerhalb Deutschlands. Die Mikrodaten können ab dem Berichtsjahr 2005 über das FDZ beantragt werden.
 Das auf Fallpauschalen basierende DRG-Vergütungssystem wurde bei der Novellierung der Krankenhausfinanzierung im Jahr 2000 eingeführt (DRG steht für "Diagnosis Related Groups"). Seit dem 1. Januar 2004 ist die Anwendung dieses Abrechnungssystems für allgemeine Krankenhäuser verpflichtend.
 Bei der DRG-Statistik handelt sich um eine Sekundärstatistik. Die Daten erheben nicht die Statistischen Ämter des Bundes und der Länder, sondern das Institut für das Entgeltsystem im Krankenhaus (InEK). Die Daten für die DRG-Statistik werden den Datensätzen entnommen, die die Krankenhäuser zu Abrechnungszwecken an das InEK schicken. Das InEK übermittelt eine gesetzlich genau definierte Merkmalsauswahl dieser umfangreichen Struktur- und Leistungsdaten an das Statistische Bundesamt.
Die DRG-Statistik beinhaltet die kontinuierliche vollstationäre Behandlung im Krankenhaus (Behandlungskette) unabhängig von der Zahl der dabei durchlaufenden Fachabteilungen. Im Vordergrund stehen insbesondere Angaben zu Operationen und Behandlungsmaßnahmen, Art und Höhe der abgerechneten Entgelte (DRG-Fallpauschale, effektive Bewertungsrelation, Casemix) sowie Haupt- und Nebendiagnosen. Daneben werden soziodemographische Merkmale der Krankenhausfälle, wie Alter, Geschlecht und Wohnregion, erfasst.
DOI: 10.25318/1110023901-eng
title:  Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas

description: Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.
DOI: 10.25318/1310011401-eng
title:  Life expectancy and other elements of the life table, Canada, all provinces except Prince Edward Island

description: This table contains mortality indicators for Canada and all provinces except Prince Edward Island for the period from 1980/1982 to 2014/2016. Complete mortality tables are available for men, women and both sexes combined. For Prince Edward Island, Yukon, the Northwest Territories and Nunavut, abridged life tables by 5-year age groups can be found in table 13-10-0140-01.