cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25747/e9r9-wm20
title: Daily profiles (2050) of load and generation of a semi-urban electricity distribution network from Portugal – ATTEST project
DOI: 10.25747/srwr-cm11
title: Daily profiles (2040) of load and generation of a semi-urban electricity distribution network from Portugal – ATTEST project
DOI: 10.24400/802406/1t11-34p0
title: Cluster 2 WHISPER Prime Parameters

description: This data set contains the Cluster 2 WHISPER Prime Parameters : the electron density and plasma wave spectral density integrated over the frequency range, plus the status of operations. Caveats The WHISPER sounders operate on a duty cycle, so the electron density is sampled on neither a continuous nor a constant basis. This duty cycle covers situations from continuous active modes with one sounding occurring typically every 1-3 seconds, to natural mode operation only when no sounding is performed, and hence no density is provided for long periods. When many density values are available during a PPDB/SPDB interval, the averaged value is provided. When no value is available during such a time interval, the fill value (no data) is given. For example, in the typical WEC normal mode, a double sounding occurs over 3 s every 52 s. Thus, for PPDB, a density value, averaged over 2 spectra, is available followed by 6 fill values. For the SPDB, 2 averaged values are available 52 s apart. They are averaged for the SPDB slot.
DOI: 10.24400/802406/xcy6-b7h7
title: CLU2 WHISPER passive electric power spectral density when in sounding mode

description: This dataset contains the electric power spectral density determined on Cluster-2 during passive sweeps of the WHISPER sounder which occur when the sounder is nominally active. These passive sweeps are interspersed with active sweeps to assist the identification of plasma resonances by comparison of active and passive sweeps adjéacent in time. These sweeps are certainly not active sweeps, but neither are they all 100% free of echoes from nearby active sweeps. The following support parameters are provided : Receiving antenna used, Ey or Ez Spectral Frequencies between 1.953 and 79.915 kHz, that is, the frequencies corresponding point-to-point to the 512 elements of the fixed size spectrum Frequency Table Number between 0 and 127 Time interval between two successive emission pulses in units of 40/3 (= 13.3) ms : 0: 1 unit (13.3 ms) 1: 2 units (26.6 ms) 2: 3 units (40 ms) 3: 5 units (66.6 ms) 4: 8 units (106.6 ms) 5: 40 units + 2106.66 ms waiting + 256 units + 2446.66 ms waiting (8.5 s) 6: 6 units + 45 ms waiting (125 ms) 7: 14 units + 63.34 ms waiting (250 ms). Delay between the acquisition intervals used to form the passive spectrum information and the acquisition intervals used to form the correponding active spectrum information Number of gain changes during the acquisition First part of the compressed value which is a fixed point integer defined in the compression algorithm Second part of the compressed value
DOI: 10.24400/802406/906n-sjy6
title: CLU2 WHISPER Event information under natural mode

description: This Event Table shows the telecomand status of the WHISPER sounder on the Cluster-2 spacecraft when passive (i.e., when measuring natural plasma waves) For each time interval, the following information is provided : time_tags__C1_CT_WHI_NATURAL_EVENT : The time interval fft_size__C1_CT_WHI_NATURAL_EVENT : The number of frequency bins of the Fast Fourier Transform Receiving_Antenna__C1_CT_WHI_NATURAL_EVENT : The receiving antenna used, Ey or Ez Average_Number__C1_CT_WHI_NATURAL_EVENT : The number of averaged individual spectra. Individual spectra are produced at the rate of one every 13.33 ms Gain_Command__C1_CT_WHI_NATURAL_EVENT : The gain command number : 0: fixed gain +12dB 1:fixed gain +24dB 2:fixed gain +36dB 3:fixed gain +36dB 4: automatic gain+24/+12 dB 5: automatic gain +24/+12 dB 6: automatic gain +36/+24 dB 7: automatic gain +36/+24 dB) Averaged_Spectrum_Select_Rate__C1_CT_WHI_NATURAL_EVENT : Output rate of the averaged spectra Energy_Overflow_Averaging_Flag__C1_CT_WHI_NATURAL_EVENT : Averaging status: 0 OFF 1 ON Compression_Methode_Required__C1_CT_WHI_NATURAL_EVENT: 0 if the exponent size is adjusted 1 if the exponent size is fixed to 5 Compressed_Data_Size__C1_CT_WHI_NATURAL_EVENT : Compressed data size: 0 means 8 bits, 1 means 6 bits
DOI: 10.24400/802406/wqe6-q2t8
title: CLU2 WHISPER natural wave power spectrum

description: This dataset contains naturally occurring electric field power spectral density obtained when WHISPER sounder is in passive on Cluster 2. The data file also includes : the number of frequency bins of the Fast Fourier Transform, the receiving antenna used, Ey or Ez (respectively expression TBD in body build coordinates), the centre frequencies of the 512 bins in the frequency range 1.953 to 79.915 kHz (in the metadata), a flag, normally 0 (default value), which is set to to 1 (saturation) when there is an overflow somewhere in the spectrum, the number of spectra which have been averaged, the number of gain changes during the acquisition, the two-digit mantissa and two-digit exponent of integer generated by the compression algorithm.
DOI: 10.24400/802406/km7x-rk1z
title: CLU2 WHISPER Information about pulse emission under sounding mode

description: The WHISPER housekeeping datasets contain information about pulse emission used for the WHISPER sounding on Cluster-2. Sounding Pulse time tag Frequency value (kHz) of the emitted sinusoidal wave train Peak-to-peak amplitude of the emitted pulse (V) Duration of the emission (ms) Confidence flag which shows the instantaneous status of the WHISPER sounder : 0 : Sounder OFF 1 : Sounder ON
DOI: 10.24400/802406/5ba0-rqcm
title: CLU2 WHISPER electric field power spectral density of natural waves

description: This dataset contains the electric field power spectral density observed by WHISPER on Cluster-2. Compared to the WHI_NATURAL and WHI_ACTIVE datasets, the particularity of this dataset is that bandwidth of the measurements is large, so as to optimise the time resolution. The dataset includes data obtained both when the sounder is active and passive (natural waves). The support data includes : a flag to indicate sounder activity the number of elementary spectra which have been summed. individual spectral are acquired every 13.33 ms, and these spectra are averaged to improve the statistics. an indicator of how many, if any, of the individual spectra were saturated.
DOI: 10.24400/802406/ta8b-zj0j
title: CLU2 WHISPER electric power spectral density in sounding mode

description: This dataset contains electric field power spectral density measured on Cluster-2 by WHISPER when the sounder is active. Each data record contains the following support parameters : Interval centred time tag Receiving antenna used, Ey or Ez Spectral Frequencies between 1.953 and 79.915 kHz, that is, the frequencies corresponding point to point to the 512 elements of the fixed size spectrum Frequency Swept Table Number between 0 and 127 Time interval between two successive emission pulses in units of 40/3 (= 13.3) ms : 0: 1 unit (13.3 ms) 1: 2 units (26.6 ms) 2: 3 units (40 ms) 3: 5 units (66.6 ms) 4: 8 units (106.6 ms) 5: 40 units + 2106.66 ms waiting + 256 units + 2446.66 ms waiting (8.5 s) 6: 6 units + 45 ms waiting (125 ms) 7: 14 units + 63.34 ms waiting (250 ms) Delay between the leading edge of the emission pulse and the starting edge of the associated reception (acquisition time interval) Number of gain changes during the acquisition First part of the compressed value which is a fixed point integer defined in the compression algorithm
DOI: 10.24400/802406/ygm7-hx1x
title: CLU2 WHISPER Active to Passive Spectral Power Density Coded Ratio

description: This dataset contains active to passive power spectral density ratio when WHISPER is in sounding mode on Cluster 2. 512 values, one for each frequency, indicating the ratio (Active received power) / (Passive received power), coded as follows : 0 indicates Active/Passive &lt;= 2 1 2 &lt; Active/Passive &lt;= 4 2 4 &lt; Active/Passive &lt;= 16 3 16 &lt; Active/Passive
DOI: 10.24400/802406/cedp-w5j8
title: CLU2 WHISPER Caveats

description: This dataset contains data quality caveats on Cluster 2, including time periods affected by saturations and interferences
DOI: 10.24400/802406/pgw6-g6ze
title: CLU2 WHISPER Timings of soundings

description: This dataset contains central time tags of WHISPER soundings on Cluster 2 followed by half the number of seconds corresponding to the sampling time interval
DOI: 10.24400/802406/g18k-rk74
title: CLU2 WHISPER Electron Density

description: This dataset contains plasma frequencies from Whisper on spacecraft Cluster-2.
DOI: 10.24400/802406/270k-vp51
title: Cluster 2 STAFF Prime Parameters

description: This data set contains the Cluster 2 STAFF Prime Parameters (spin time resolution): the parallel and perpendicular (to the FGM measured magnetic field) power of the magnetic field and the power of the spin-plane components of the electric field for several frequency ranges. Caveats The STAFF prime parameters do not have the standard CSDS timing which is synchronous with the spacecraft spin clock. The operation of the STAFF digital spectrum analyser is synchronised with the DWP clock. The summary parameters are the average of all those instrument measurements made during STAFF 4 s periods whose middle times lie within the minute boundaries. The difference from the standard CSDS definition is negligible for all practical purposes. The summary parameter and prime parameter E_pow_f2 is supplied by STAFF only when the satellites are in normal mode. In burst mode both STAFF and EFW measure the waveform to 180 Hz, and the onboard spectrum analyser is not used to determine the spectrum in the band 10--180 Hz. The parameters B_pow_f2, E_pow_f2, B_par_f2, and B_perp_f2 are determined from the waveform measurements which, in the case of the electric field, come from EFW. Thus in normal mode the parameter E_pow_f2 is supplied by STAFF, while in burst mode it is replaced by the parameter of the same name from the EFW experiment.
DOI: 10.24400/802406/gp9y-2vqy
title: CLU2 STAFF-SA Caveats - Power Spectral Density negative values

description: This dataset contains caveats for the SM datasets from the STAFF-SA instrument on Cluster 2 spacecraft. For a given time and frequency are given the PSD negative values that have been replaced in the PSD data product by a fillvalue.
DOI: 10.24400/802406/vnm0-sz15
title: CLU2 STAFF-SA Caveats - Probe failure consequences

description: This dataset contains caveats for PSD, SM and PPP STAFF_SA datasets from the STAFF-SA instrument on Cluster 2 spacecraft. This caveats dataset provides the users time interval when probes have problems and what to do with such data.
DOI: 10.24400/802406/xtcd-3cb5
title: CLU2 STAFF-SA Caveats - Polarization and Propagation Parameters

description: This dataset contains caveats for the PPP (L3) datasets from the STAFF-SA instrument on Cluster 2 spacecraft. Here are given times where there are either low coverage FGM data or too low attitudes magnetic field to transform SM data in MFA coordinate system.
DOI: 10.24400/802406/b9ge-nts5
title: CLU2 STAFF Caveats - Information concerning onboard calibration

description: This data set contains Cluster 2 STAFF Caveats - Information concerning onboard calibration.
DOI: 10.24400/802406/txj9-gcka
title: CLU2 STAFF Caveats - Time Interval with no Sun Reference Pulse

description: This dataset contains caveats for the SM and PSD datasets from the STAFF-SA instrument on Cluster 2. This caveats dataset provides the users time interval when no Sun pulse (TSRP) was recorded in the S/C housekeeping data. Note that it can be in eclipse period but not especially.
DOI: 10.24400/802406/masx-9skr
title: CLU2 STAFF-SC Magnetic Field Waveform - Uncalibrated (25Hz sampling)

description: This dataset contains 0.400000E-01 s resolution measurements of the magnetic field Decommutated WaveForm (DWF) from the STAFF-SC instrument in NBR (Normal Bit Rate) mode on the Cluster C2 spacecraft.
DOI: 10.24400/802406/nkvr-b0hj
title: CLU2 STAFF-SC Magnetic Field Waveform - Uncalibrated (burst - 450Hz sampling)

description: This dataset contains 0.002222 s resolution measurements of the magnetic field Decommutated WaveForm (DWF) from the STAFF-SC instrument in HBR (High Bit Rate) mode on the Cluster C2 spacecraft.
DOI: 10.24400/802406/0enx-b96e
title: CLU2 STAFF-SA Automatic Gain Control

description: This data set contains the Cluster 2 STAFF-SA average power spectral density in the passband of the analogue receivers derived from the Automatic Gain Control signal. This is measured in three large passbands with 1 s time resolution, for the axial component of the magnetic field, and the sums of the spin plane components of the magnetic and of the electric field.
DOI: 10.24400/802406/gz8w-jdsa
title: Cluster 2 PEACE Prime Parameters

description: This data set contains the Cluster 2 PEACE Prime Parameters (spin averaged). The parameters are the electron density, velocity, temperature and heat flux (derived from a subset of the moment sums calculated onboard) and instrument status. Caveats At the time of writing (March 2002) the moments data provided to CSDS are being derived only from HEEA. Thus the minimum measured electron energy is typically about 34 eV opposed to 10 eV when LEEA is included. This approach is an initial response to the frequently occurring situation that the spacecraft potential does rise above 10 volts. The spacecraft potential is at times above 34 volts, in which case the moments calculations will be include measurements of both plasma and spacecraft electrons and will not accurately describe the plasma population. These cases can usually be recognised as they have particularly high density. The spacecraft potential, when uncontrolled by ASPOC, can often reach such values, particularly in thinner plasmas (e.g., magnetotail lobes, polar cap, etc.) The CSDS Quicklook plots show spacecraft potential from EFW which will further inform the interested reader about which regions characteristically have high spacecraft potential. ASPOC operations do not occur on Spacecraft 1 at all. On about 50% of the orbits there are no ASPOC operations on the other spacecraft, and operations are typically for less than 10 hours at a time when ASPOC is in use. The PEACE Team are reconsidering their approach to provision of and validation of electron moments data to the CSDS, in the light of the problems with spacecraft potential. The PEACE team will report on the outcome in a future update of this document. Please for further relevant information consult the PEACE home page (https://www.mssl.ucl.ac.uk/www_plasma/missions/cluster/).
DOI: 10.24400/802406/tpt6-t6ty
title: Cluster 2 FGM Prime Parameters

description: This data set contains the Cluster 2 FGM Prime Parameters (spin averaged). The parameters are a status word, the three averaged components of the magnetic field vector in the GSE coordinate system and 2 variances.
DOI: 10.24400/802406/7z5w-t787
title: Cluster 2 orbit data (GSE frame, 1 min resolution)

description: This data set contais Cluster 2 ephemeris data (position and velocity). Each ASCII file represents one day. The coordinate system used is GSE (Geocentric Solar Ecliptic). Data record are arranged chronologically.
DOI: 10.24400/802406/q7qk-t9pr
title: Cluster 2 EFW Prime Parameters

description: This data set contains the Cluster 2 EFW Prime Parameters (spin averaged). Caveats The CSDS data are intended for event identification and are not for publication. Some obviously incorrect data have been removed in the validation process, but there may still be occasional data with poor quality in the PPDB and SPDB. Please always contact the EFW PI or the CSDS file validator (information given in the global attributes of each CDF file) for questions on data validity. The electric field E_dusk has not been corrected for offsets present due to, e.g., photoelectron asymmetries. The parameter U_probe_sc can be used as an approximate indicator of the electron density, except during periods when ASPOC is operating. Such periods have not been removed from the data. A more (less) negative value of U_probe_sc indicates lower (higher) density. The operation of WHISPER in the active mode sometimes disturbs the EFW measurements. Such disturbed data have most likely been removed in all quantities except U_probe_sc, where the disturbance is least severe.
DOI: 10.24400/802406/8sg7-t78x
title: Cluster 2 EDI Prime Parameters

description: This data set contains the Cluster 2 EDI Prime Parameters. Those parameters are the 3 components of the electron drift velocity and the 3 components of the electric field (cartesian components, GSE coordinates, corrected for spacecraft motion), the instrument status and a Reduced chi-squared variable which is a floating point scalar. Caveats The measured electron drift velocity cannot always be separated into the electric-field and magnetic-gradient induced parts. In such cases the computed electric fields are subject to contamination by magnetic gradient effects. The data quality is variable, and it is therefore mandatory that the status bytes be consulted before interpreting the data. The number of samples in the averages is variable.
DOI: 10.24400/802406/cn6q-ejat
title: Cluster 2 DWP Prime Parameters

description: This data set contains Cluster 2 Digital Wave Processor (DWP) prime parameters (various instrument status and data status flags as well as particle correlator information).
DOI: 10.24400/802406/vm75-scee
title: Cluster 2 ASPOC Prime Parameters

description: This data set contains Cluster 2 ASPOC (Active Spacecraft Potential Control experiment) Prime Parameters (Ion current and instrument status)
DOI: 10.5063/f13b5xmz
title: Mapping the spatial distribution of global mariculture production

description: This dataset contains data to reproduce the results and figures published in Clawson et al. 2022, Mapping the spatial distribution of global mariculture production.article doi: https://doi.org/10.1016/j.aquaculture.2022.738066Publication abstract:Mariculture (marine and brackish water aquaculture) has grown rapidly over the past 20 years, yet publicly available information on the location of mariculture production is sparse. Identifying where mariculture production occurs remains a major challenge for understanding its environmental impacts and the sustainability of individual farms and the sector as a whole. We compiled known mariculture locations and applied a simple production-allocation approach to map remaining global mariculture locations across 73 countries using the key determinants of distance to shore and ports, and average productivity (tonnage) of known farms. Our map represents 96% of reported fish and invertebrate mariculture production for 2017, but excludes algae which constitutes half of global mariculture production. We provide, for the first time, a publicly available spatial database of known and estimated mariculture locations. We discuss the utility and limitations of the existing data and our modeling approach, and highlight the key data gaps and future challenges for mapping aquaculture. Our results provide a vital resource for mariculture and environmental researchers, but we emphasize the need for a standardized, ground-truthed global spatial database of aquaculture locations and farm-level attributes (e.g., species, production type) to better understand the distribution of production and adequately plan for future growth.
DOI: 10.5281/zenodo.6323558
title: Black soils in Argentina

description: Spatial prediction was done following a digital soil mapping framework. Soil profiles were classified into black soil (833) or non black soil (3007) according to the BS definitions. We used soil horizons up to 25 cm. Soil organic carbon (obtained by wet combustion), Munsell colour and horizon boundaries were used for the analysis. We filtered out organic horizons as well as those profiles with missing data. Model calibration was carried out using a classification random forest model. We predicted the probability black soil occurrence and took 0,5 as the splitting threshold. Validation was done by 10-fold 20 times repeated cross-validation. We obtained a 75% global accuracy and a kappa of 0,52.
description: Tenti Vuegen LM, Rodríguez DM, Moretti LM, de la Fuente JC, Schulz GA, Angelini ME (2021) Black soils in Argentina. En: The Global Status of Black Soils. FAO (En Prensa).
DOI: 10.5281/zenodo.6323557
title: Black soils in Argentina

description: Spatial prediction was done following a digital soil mapping framework. Soil profiles were classified into black soil (833) or non black soil (3007) according to the BS definitions. We used soil horizons up to 25 cm. Soil organic carbon (obtained by wet combustion), Munsell colour and horizon boundaries were used for the analysis. We filtered out organic horizons as well as those profiles with missing data. Model calibration was carried out using a classification random forest model. We predicted the probability black soil occurrence and took 0,5 as the splitting threshold. Validation was done by 10-fold 20 times repeated cross-validation. We obtained a 75% global accuracy and a kappa of 0,52.
description: Tenti Vuegen LM, Rodríguez DM, Moretti LM, de la Fuente JC, Schulz GA, Angelini ME (2021) Black soils in Argentina. En: The Global Status of Black Soils. FAO (En Prensa).
DOI: 10.5281/zenodo.6323625
title: Tracking example for Trackmate and Napatrackmater track analysis

description: Tracking for example dataset of C. elegans. Contained in the Raw, Segmentation timelapse image in TZYX with csv file of cell attributes to try tracking using csv file of cell attributes using BTrackmate. Original data taken from: http://celltrackingchallenge.net/3d-datasets/
DOI: 10.5281/zenodo.6323624
title: Tracking example for Trackmate and Napatrackmater track analysis

description: Tracking for example dataset of C. elegans. Contained in the Raw, Segmentation timelapse image in TZYX with csv file of cell attributes to try tracking using csv file of cell attributes using BTrackmate. Original data taken from: http://celltrackingchallenge.net/3d-datasets/
DOI: 10.3886/e113112v1-110980
title: Replication data for: Wealth Distribution and Social Mobility in the US: A Quantitative Approach

description: We quantitatively identify the factors that drive wealth dynamics in the United States and are consistent with its skewed cross-sectional distribution and with social mobility. We concentrate on three critical factors: (i) skewed earnings, (ii) differential saving rates across wealth levels, and (iii) stochastic idiosyncratic returns to wealth. All of these are fundamental for matching both distribution and mobility. The stochastic process for returns which best fits the cross-sectional distribution of wealth and social mobility in the United States shares several statistical properties with those of the returns to wealth uncovered by Fagereng et al. (2017) from tax records in Norway.