The Experts below are selected from a list of 273 Experts worldwide ranked by ideXlab platform
Barry H Weiss - One of the best experts on this subject based on the ideXlab platform.
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soil moisture active passive smap mission level 4 carbon l4_c product Specification Document
2015Co-Authors: Joe Glassy, John S Kimball, Lucas A Jones, Rolf H Reichle, Joseph V Ardizzone, Gikong Kim, Robert Lucchesi, Edmond B Smith, Barry H WeissAbstract:This is the Product Specification Document (PSD) for Level 4 Surface and Root Zone Soil Moisture (L4_SM) data for the Science Data System (SDS) of the Soil Moisture Active Passive (SMAP) project. The L4_SM data product provides estimates of land surface conditions based on the assimilation of SMAP observations into a customized version of the NASA Goddard Earth Observing System, Version 5 (GEOS-5) land data assimilation system (LDAS). This Document applies to any standard L4_SM data product generated by the SMAP Project.
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soil moisture active passive smap mission level 4 surface and root zone soil moisture l4_sm product Specification Document
2015Co-Authors: Rolf H Reichle, Joseph V Ardizzone, Gikong Kim, Robert Lucchesi, Edmond B Smith, Barry H WeissAbstract:This is the Product Specification Document (PSD) for Level 4 Surface and Root Zone Soil Moisture (L4_SM) data for the Science Data System (SDS) of the Soil Moisture Active Passive (SMAP) project. The L4_SM data product provides estimates of land surface conditions based on the assimilation of SMAP observations into a customized version of the NASA Goddard Earth Observing System, Version 5 (GEOS-5) land data assimilation system (LDAS). This Document applies to any standard L4_SM data product generated by the SMAP Project. The Soil Moisture Active Passive (SMAP) mission will enhance the accuracy and the resolution of space-based measurements of terrestrial soil moisture and freeze-thaw state. SMAP data products will have a noteworthy impact on multiple relevant and current Earth Science endeavors. These include: Understanding of the processes that link the terrestrial water, the energy and the carbon cycles, Estimations of global water and energy fluxes over the land surfaces, Quantification of the net carbon flux in boreal landscapes Forecast skill of both weather and climate, Predictions and monitoring of natural disasters including floods, landslides and droughts, and Predictions of agricultural productivity. To provide these data, the SMAP mission will deploy a satellite observatory in a near polar, sun synchronous orbit. The observatory will house an L-band radiometer that operates at 1.40 GHz and an L-band radar that operates at 1.26 GHz. The instruments will share a rotating reflector antenna with a 6 meter aperture that scans over a 1000 km swath.
Neil A Ernst - One of the best experts on this subject based on the ideXlab platform.
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what can the sentiment of a software requirements Specification Document tell us
2019 IEEE 27th International Requirements Engineering Conference Workshops (REW), 2019Co-Authors: Colin Werner, Neil A ErnstAbstract:Sentiment analysis tools are becoming increasingly more prevalent in the software engineering research community. In this data showcase paper, we present a set of twenty-two software requirements Specification (SRS) Documents that have been preprocessed and subsequently analyzed using the Senti4SD sentiment analysis tool. As part of our preliminary research, we compared the result of the sentiment analysis of the SRS Documents and other non-related Documents and found that the SRS Documents were 6% more neutral than other non-related Documents. Finally, we also present a number of research questions that we believe the research community might be able to answer using our published data.
Johannes Griss - One of the best experts on this subject based on the ideXlab platform.
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the mztab data exchange format communicating mass spectrometry based proteomics and metabolomics experimental results to a wider audience
Molecular & Cellular Proteomics, 2014Co-Authors: Johannes Griss, Andrew R Jones, Timo Sachsenberg, Mathias Walzer, Laurent Gatto, Jurgen Hartler, Gerhard G Thallinger, Reza M Salek, Christoph SteinbeckAbstract:The HUPO Proteomics Standards Initiative has developed several standardized data formats to facilitate data sharing in mass spectrometry (MS)-based proteomics. These allow researchers to report their complete results in a unified way. However, at present, there is no format to describe the final qualitative and quantitative results for proteomics and metabolomics experiments in a simple tabular format. Many downstream analysis use cases are only concerned with the final results of an experiment and require an easily accessible format, compatible with tools such as Microsoft Excel or R. We developed the mzTab file format for MS-based proteomics and metabolomics results to meet this need. mzTab is intended as a lightweight supplement to the existing standard XML-based file formats (mzML, mzIdentML, mzQuantML), providing a comprehensive summary, similar in concept to the supplemental material of a scientific publication. mzTab files can contain protein, peptide, and small molecule identifications together with experimental metadata and basic quantitative information. The format is not intended to store the complete experimental evidence but provides mechanisms to report results at different levels of detail. These range from a simple summary of the final results to a representation of the results including the experimental design. This format is ideally suited to make MS-based proteomics and metabolomics results available to a wider biological community outside the field of MS. Several software tools for proteomics and metabolomics have already adapted the format as an output format. The comprehensive mzTab Specification Document and extensive additional Documentation can be found online.
Rolf H Reichle - One of the best experts on this subject based on the ideXlab platform.
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soil moisture active passive smap mission level 4 carbon l4_c product Specification Document
2015Co-Authors: Joe Glassy, John S Kimball, Lucas A Jones, Rolf H Reichle, Joseph V Ardizzone, Gikong Kim, Robert Lucchesi, Edmond B Smith, Barry H WeissAbstract:This is the Product Specification Document (PSD) for Level 4 Surface and Root Zone Soil Moisture (L4_SM) data for the Science Data System (SDS) of the Soil Moisture Active Passive (SMAP) project. The L4_SM data product provides estimates of land surface conditions based on the assimilation of SMAP observations into a customized version of the NASA Goddard Earth Observing System, Version 5 (GEOS-5) land data assimilation system (LDAS). This Document applies to any standard L4_SM data product generated by the SMAP Project.
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soil moisture active passive smap mission level 4 surface and root zone soil moisture l4_sm product Specification Document
2015Co-Authors: Rolf H Reichle, Joseph V Ardizzone, Gikong Kim, Robert Lucchesi, Edmond B Smith, Barry H WeissAbstract:This is the Product Specification Document (PSD) for Level 4 Surface and Root Zone Soil Moisture (L4_SM) data for the Science Data System (SDS) of the Soil Moisture Active Passive (SMAP) project. The L4_SM data product provides estimates of land surface conditions based on the assimilation of SMAP observations into a customized version of the NASA Goddard Earth Observing System, Version 5 (GEOS-5) land data assimilation system (LDAS). This Document applies to any standard L4_SM data product generated by the SMAP Project. The Soil Moisture Active Passive (SMAP) mission will enhance the accuracy and the resolution of space-based measurements of terrestrial soil moisture and freeze-thaw state. SMAP data products will have a noteworthy impact on multiple relevant and current Earth Science endeavors. These include: Understanding of the processes that link the terrestrial water, the energy and the carbon cycles, Estimations of global water and energy fluxes over the land surfaces, Quantification of the net carbon flux in boreal landscapes Forecast skill of both weather and climate, Predictions and monitoring of natural disasters including floods, landslides and droughts, and Predictions of agricultural productivity. To provide these data, the SMAP mission will deploy a satellite observatory in a near polar, sun synchronous orbit. The observatory will house an L-band radiometer that operates at 1.40 GHz and an L-band radar that operates at 1.26 GHz. The instruments will share a rotating reflector antenna with a 6 meter aperture that scans over a 1000 km swath.
Philippe Roccaserra - One of the best experts on this subject based on the ideXlab platform.
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mztab m a data standard for sharing quantitative results in mass spectrometry metabolomics
Analytical Chemistry, 2019Co-Authors: Nils Hoffmann, Timo Sachsenberg, Jurgen Hartler, Joel Rein, Kenneth Haug, Gerhard Mayer, Oliver Alka, Saravanan Dayalan, Jake T M Pearce, Philippe RoccaserraAbstract:Mass spectrometry (MS) is one of the primary techniques used for large-scale analysis of small molecules in metabolomics studies. To date, there has been little data format standardization in this field, as different software packages export results in different formats represented in XML or plain text, making data sharing, database deposition, and reanalysis highly challenging. Working within the consortia of the Metabolomics Standards Initiative, Proteomics Standards Initiative, and the Metabolomics Society, we have created mzTab-M to act as a common output format from analytical approaches using MS on small molecules. The format has been developed over several years, with input from a wide range of stakeholders. mzTab-M is a simple tab-separated text format, but importantly, the structure is highly standardized through the design of a detailed Specification Document, tightly coupled to validation software, and a mandatory controlled vocabulary of terms to populate it. The format is able to represent final quantification values from analyses, as well as the evidence trail in terms of features measured directly from MS (e.g., LC-MS, GC-MS, DIMS, etc.) and different types of approaches used to identify molecules. mzTab-M allows for ambiguity in the identification of molecules to be communicated clearly to readers of the files (both people and software). There are several implementations of the format available, and we anticipate widespread adoption in the field.
