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The LISA company data contain information on Dutch companies, aggregated on a municipal or other level, or in the form of microdata. The data have a geographical (location) and socioeconomic component (employment in a sector).
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Sangria includes two main datasets: each contains Gaussian instrumental noise and simulated waveforms from 30 million Galactic white dwarf binaries, from 17 verification Galactic binaries, and from merging massive black-hole binaries with parameters derived from an astrophysical model. The first dataset includes the full specification used to generate it: source parameters, a description of instrumental noise with the corresponding power spectral density, LISA's orbit, etc. We also release noiseless data for each type of source, for waveform validation purposes. The second dataset is blinded: the level of istrumental noise and number of sources of each type are not disclosed (except for the known parameters of the verification binaries).
See LDC website for more details.
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*Significance: P-value
This dataset provides information about the number of properties, residents, and average property values for Lisa Drive cross streets in Newport News, VA.
Financial overview and grant giving statistics of Lisa Traci and Kae Howard Foundation
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The purpose of this challenge is to address for the first time the realistic instrumental and environmental noise. We have two datasets with merging MBHBs. (i) Dataset with a loud (SNR ~2000) GW signal, lasting for about 31 days. The signal is expected to be detectable a few weeks before the merger and, therefore, is suitable for testing low-latency algorithms. We have added three short loud glitches distributed in the inspiral, late inspiral and near merger parts of the signal. (ii) Dataset with a quiet (SNR ~100) GW signal lasting for one week, with a several-hour-long glitch placed near the merger. A third 1-year long dataset contains 36 verification binaries. We have placed glitches according to a Poisson distribution with a rate of 4 glitches per day, whose model is described in the Spritz documentation.
See LDC website for more details.
This dataset provides information about the number of properties, residents, and average property values for Lisa Lane cross streets in Westfield, MA.
Building a Foundation for Linear Infrastructure Safeguards in Asia (LISA) was a 14-month project that sought to understand Asia’s existing capacity to implement wildlife-friendly linear infrastructure, as well as the challenges and barriers that slow its adoption, to protect Asia’s diverse wildlife species and their critical habitats from the region’s rapid infrastructure development. This data asset contains the data collected from a survey of 320 respondents regarding Asia’s capacity for implementing wildlife-friendly linear infrastructure as part of this project in May and June of 2021. The survey was targeted at individuals in five focal countries (Bangladesh, India, Mongolia, Nepal, and Thailand) and four main constituent groups (government, industry [engineering, construction, & consulting firms], international financial institutions [IFIs], and nongovernmental organizations). Some IFI respondents were based out of regional headquarters and were thus outside of the five focal countries. Respondents were identified through opportunistic sampling, with the survey being sent directly to 840 individuals across all sectors and countries, with the instruction to pass along to other colleagues as appropriate.
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Italy Airport: Number of Passenger: Embark: Foggia-Gino Lisa data was reported at 0.000 Person in 2016. This records a decrease from the previous number of 724.000 Person for 2015. Italy Airport: Number of Passenger: Embark: Foggia-Gino Lisa data is updated yearly, averaging 3,515.000 Person from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 34,119.000 Person in 2010 and a record low of 0.000 Person in 2016. Italy Airport: Number of Passenger: Embark: Foggia-Gino Lisa data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.TA002: Airport Statistics: Number of Passenger.
Berlin’s production facilities and facilities are presented, which are supervised by the Senate Department for Environment, Mobility, Consumer and Climate Protection Berlin. They are described by attributes of the INSPIRE data model “Production and industrial plants”.
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The TDI data and PSD/sensitivity-related files for PyCBC LISA documentation example, most of them are generated from LDC-Sangria dataset.
This dataset contains all the data not available from the Housekeeping dataset. Note that as for the Housekeeping dataset some inconsistencies in the timestamps may be found in this dataset and you should consider using the the PreProcessed dataset instead. The use of the ltpda data analysis package is recommended for reading and manipulating the data.
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Lisa Davis is an author. They were born in 1945. They have 6 books in our database.
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Here you can find the following supplementary material of my Phd:
- Chapter 2 - Table S2.1
- Supplementary excel of Chapter 2
- Supplementary excel of Chapter 5
Comprehensive dataset of insider trading activities for Oleson Lisa, including Form 4 filings and transaction visualizations across multiple companies.
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Posterior samples and SNR calculations associated with Identifying LISA verification binaries among the Galactic population of double white dwarfs (arxiv:2210.10812, MNRAS, 522, 5358 (2023)).
The data
folder contains the following:
vb_table
: Verification binary (VB) candidate properties obtained from electromagnetic (EM) observations. This data was compiled by Kupfer et al. and is available at https://gitlab.in2p3.fr/LISA/lisa-verification-binaries (accessed on 2022 September 2). Used in Table 1.snr
: SNR calculations for each VB candidate as a function of mission duration. Used in Figure 2.basic
: Gravitational-wave (GW) parameter estimation study of each VB candidate. Used in Table 2 and Figure 3.detection_time
: VB SNR calculations with source property (and LISA launch time) uncertainty taken into account. Used in Figure 1 and Figure 4.em_priors
: GW parameter estimation study with EM information included in the priors. Used in Figure 5.unknown_noise
: GW parameter estimation study with the inclusion of noise parameters to vary the PSD. Used in Figure 6.filtered_populations
: Source properties of DWDs nearby in frequency to each VB candidate. See the confused_sources.ipynb
notebook. Used in Figure 7.confusion_snr
: SNR calculations of the above confusion sources. Used in Figure 7.confusion
: A analysis of V803Cen with a realistic Galactic population of DWDs included in the data. Used in Figure 8.Code to reproduce every figure from the paper is available in plots
.
Supplementary notebooks associated with the generation of a realistic data instance (i.e. including a simulated Galactic population of DWDs nearby in frequency to V803Cen) can be found in notebooks
.
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Italy Airport: Aircraft Movement: Intl: Foggia-Gino Lisa data was reported at 0.000 Unit in 2016. This records a decrease from the previous number of 15.000 Unit for 2015. Italy Airport: Aircraft Movement: Intl: Foggia-Gino Lisa data is updated yearly, averaging 11.500 Unit from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 1,736.000 Unit in 2003 and a record low of 0.000 Unit in 2016. Italy Airport: Aircraft Movement: Intl: Foggia-Gino Lisa data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.TA001: Airport Statistics: Aircraft Movement.
This dataset provides information about the number of properties, residents, and average property values for Lisa Court cross streets in Brookfield, WI.
Comprehensive dataset of insider trading activities for Meier Lisa, including Form 4 filings and transaction visualizations across multiple companies.
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Lisa Carnahan is an author. They have 2 books in our database.
Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
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The LISA company data contain information on Dutch companies, aggregated on a municipal or other level, or in the form of microdata. The data have a geographical (location) and socioeconomic component (employment in a sector).