stochastic differential equation (sde) toolbox Search Results


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MathWorks Inc sde toolbox
Sde Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sde toolbox/product/MathWorks Inc
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MathWorks Inc stochastic differential equation (sde) toolbox
Stochastic Differential Equation (Sde) Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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Neuropharm Ltd cognitive test battery
Cognitive Test Battery, supplied by Neuropharm Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cognitive test battery/product/Neuropharm Ltd
Average 90 stars, based on 1 article reviews
cognitive test battery - by Bioz Stars, 2026-04
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Riffyn Inc riffyn sde
( a ) All data on each experiment in <t>the</t> <t>Riffyn</t> <t>SDE</t> is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.
Riffyn Sde, supplied by Riffyn Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/riffyn sde/product/Riffyn Inc
Average 90 stars, based on 1 article reviews
riffyn sde - by Bioz Stars, 2026-04
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Riffyn Inc sde software-as-a-service architecture
( a ) All data on each experiment in <t>the</t> <t>Riffyn</t> <t>SDE</t> is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.
Sde Software As A Service Architecture, supplied by Riffyn Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sde software-as-a-service architecture/product/Riffyn Inc
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sde software-as-a-service architecture - by Bioz Stars, 2026-04
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Esri inc sde gis services
( a ) All data on each experiment in <t>the</t> <t>Riffyn</t> <t>SDE</t> is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.
Sde Gis Services, supplied by Esri inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc sde toolbox of
( a ) All data on each experiment in <t>the</t> <t>Riffyn</t> <t>SDE</t> is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.
Sde Toolbox Of, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sde toolbox of/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
sde toolbox of - by Bioz Stars, 2026-04
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MathWorks Inc sde model
( a ) All data on each experiment in <t>the</t> <t>Riffyn</t> <t>SDE</t> is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.
Sde Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sde model/product/MathWorks Inc
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sde model - by Bioz Stars, 2026-04
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Gauch GmbH sde extraction technique
( a ) All data on each experiment in <t>the</t> <t>Riffyn</t> <t>SDE</t> is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.
Sde Extraction Technique, supplied by Gauch GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sde extraction technique/product/Gauch GmbH
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Lonza kinetic-qcltm kinetic chromogenic lal assay, 50–650u
BLG and endotoxin levels in stable dust and ambient air of cattle farms. (A) BLG in dust of cattle stables, which was collected by different methods, detected in immunoblot: stable dust extract SDE1 (Table , set 1, Vet) = dust wiped from elevated surfaces; SDE2 (Table , Set 1, Bav) = dust deposition on cardboard box over 3 weeks; SDE3 (Table , set 3, Vet) = dust collected by air filtering (1 representative example of at least 3 repetitions per collection method is shown; due to time interval between examination, strips of different individual blots are shown). ( B ) Stable dust extracts <t>(SDE),</t> all collected by wiping, from cattle farms ( n = 14; Table , set 2, C1–14) and poultry stable ( n = 8; Table , set 2, P1‐8) investigated by BLG‐specific ELISA (mean +/‐ SD; representative of 3 repetitions). ( C ) BLG in stable dust (sample SDE 2) confirmed by MS/MS‐LC in SDE separated via SDS‐PAGE, stained by Roti‐Blue® and the major band around 18 kDa excised. ( D ) Protein of the excised band in MS/MS‐LC (proteins UniProtKB P02754 and B5B0D4 with difference of 2 amino acids in sequence). ( E ) BLG‐concentration in air samples at different distances from cattle stable (Table , set 4, n = 4 filter/distance), extrapolated to the human respiratory volume per 24 h, determined in ELISA (1 m = outside the stable in front of open window; 156 m and 290 m distance from cattle stable, sampled on cellulose filters; at the mountain site Sonnblick at 3106 m above sea level, sampled on quartz fiber filters); and ( F ) in immunoblot with bovine BLG‐specific antibodies (1 = 1 m, 2 = 156 m, 3 = 290 m, Co = empty control filter; 3 different time points from E shown). ( G ) Levels of endotoxin were determined in dust samples of cattle ( n = 14) and poultry stable ( n = 8) (Table , set 2) <t>by</t> <t>LAL</t> test, and ( H ) in dust samples collected in different distances to cattle stable. ( I ) Occurrence of BLG in different households (hh). BLG in sieved bed dust samples from beds of cattle farm households (Cattle hh. N = 14) , poultry farm households (Poultry hh, n = 8) or urban apartments (Urban hh, n = 10), detected by an anti‐BLG antibody in ELISA (mean of 2 repetitions). BLG (commercial beta‐lactoglobulin) = positive control; OVA (ovalbumin) and Co (empty control paper filter) = negative control. M: protein weight marker in kDa. Arrows indicate monomeric (around 18 kDa) and dimeric (38 kDa) BLG. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001
Kinetic Qcltm Kinetic Chromogenic Lal Assay, 50–650u, supplied by Lonza, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/kinetic-qcltm kinetic chromogenic lal assay, 50–650u/product/Lonza
Average 90 stars, based on 1 article reviews
kinetic-qcltm kinetic chromogenic lal assay, 50–650u - by Bioz Stars, 2026-04
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Fluorochem Ltd 2,2′-sulfonyldiethanol
BLG and endotoxin levels in stable dust and ambient air of cattle farms. (A) BLG in dust of cattle stables, which was collected by different methods, detected in immunoblot: stable dust extract SDE1 (Table , set 1, Vet) = dust wiped from elevated surfaces; SDE2 (Table , Set 1, Bav) = dust deposition on cardboard box over 3 weeks; SDE3 (Table , set 3, Vet) = dust collected by air filtering (1 representative example of at least 3 repetitions per collection method is shown; due to time interval between examination, strips of different individual blots are shown). ( B ) Stable dust extracts <t>(SDE),</t> all collected by wiping, from cattle farms ( n = 14; Table , set 2, C1–14) and poultry stable ( n = 8; Table , set 2, P1‐8) investigated by BLG‐specific ELISA (mean +/‐ SD; representative of 3 repetitions). ( C ) BLG in stable dust (sample SDE 2) confirmed by MS/MS‐LC in SDE separated via SDS‐PAGE, stained by Roti‐Blue® and the major band around 18 kDa excised. ( D ) Protein of the excised band in MS/MS‐LC (proteins UniProtKB P02754 and B5B0D4 with difference of 2 amino acids in sequence). ( E ) BLG‐concentration in air samples at different distances from cattle stable (Table , set 4, n = 4 filter/distance), extrapolated to the human respiratory volume per 24 h, determined in ELISA (1 m = outside the stable in front of open window; 156 m and 290 m distance from cattle stable, sampled on cellulose filters; at the mountain site Sonnblick at 3106 m above sea level, sampled on quartz fiber filters); and ( F ) in immunoblot with bovine BLG‐specific antibodies (1 = 1 m, 2 = 156 m, 3 = 290 m, Co = empty control filter; 3 different time points from E shown). ( G ) Levels of endotoxin were determined in dust samples of cattle ( n = 14) and poultry stable ( n = 8) (Table , set 2) <t>by</t> <t>LAL</t> test, and ( H ) in dust samples collected in different distances to cattle stable. ( I ) Occurrence of BLG in different households (hh). BLG in sieved bed dust samples from beds of cattle farm households (Cattle hh. N = 14) , poultry farm households (Poultry hh, n = 8) or urban apartments (Urban hh, n = 10), detected by an anti‐BLG antibody in ELISA (mean of 2 repetitions). BLG (commercial beta‐lactoglobulin) = positive control; OVA (ovalbumin) and Co (empty control paper filter) = negative control. M: protein weight marker in kDa. Arrows indicate monomeric (around 18 kDa) and dimeric (38 kDa) BLG. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001
2,2′ Sulfonyldiethanol, supplied by Fluorochem Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/2,2′-sulfonyldiethanol/product/Fluorochem Ltd
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2,2′-sulfonyldiethanol - by Bioz Stars, 2026-04
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CH Instruments sde extraction method
BLG and endotoxin levels in stable dust and ambient air of cattle farms. (A) BLG in dust of cattle stables, which was collected by different methods, detected in immunoblot: stable dust extract SDE1 (Table , set 1, Vet) = dust wiped from elevated surfaces; SDE2 (Table , Set 1, Bav) = dust deposition on cardboard box over 3 weeks; SDE3 (Table , set 3, Vet) = dust collected by air filtering (1 representative example of at least 3 repetitions per collection method is shown; due to time interval between examination, strips of different individual blots are shown). ( B ) Stable dust extracts <t>(SDE),</t> all collected by wiping, from cattle farms ( n = 14; Table , set 2, C1–14) and poultry stable ( n = 8; Table , set 2, P1‐8) investigated by BLG‐specific ELISA (mean +/‐ SD; representative of 3 repetitions). ( C ) BLG in stable dust (sample SDE 2) confirmed by MS/MS‐LC in SDE separated via SDS‐PAGE, stained by Roti‐Blue® and the major band around 18 kDa excised. ( D ) Protein of the excised band in MS/MS‐LC (proteins UniProtKB P02754 and B5B0D4 with difference of 2 amino acids in sequence). ( E ) BLG‐concentration in air samples at different distances from cattle stable (Table , set 4, n = 4 filter/distance), extrapolated to the human respiratory volume per 24 h, determined in ELISA (1 m = outside the stable in front of open window; 156 m and 290 m distance from cattle stable, sampled on cellulose filters; at the mountain site Sonnblick at 3106 m above sea level, sampled on quartz fiber filters); and ( F ) in immunoblot with bovine BLG‐specific antibodies (1 = 1 m, 2 = 156 m, 3 = 290 m, Co = empty control filter; 3 different time points from E shown). ( G ) Levels of endotoxin were determined in dust samples of cattle ( n = 14) and poultry stable ( n = 8) (Table , set 2) <t>by</t> <t>LAL</t> test, and ( H ) in dust samples collected in different distances to cattle stable. ( I ) Occurrence of BLG in different households (hh). BLG in sieved bed dust samples from beds of cattle farm households (Cattle hh. N = 14) , poultry farm households (Poultry hh, n = 8) or urban apartments (Urban hh, n = 10), detected by an anti‐BLG antibody in ELISA (mean of 2 repetitions). BLG (commercial beta‐lactoglobulin) = positive control; OVA (ovalbumin) and Co (empty control paper filter) = negative control. M: protein weight marker in kDa. Arrows indicate monomeric (around 18 kDa) and dimeric (38 kDa) BLG. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001
Sde Extraction Method, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sde extraction method/product/CH Instruments
Average 90 stars, based on 1 article reviews
sde extraction method - by Bioz Stars, 2026-04
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Image Search Results


( a ) All data on each experiment in the Riffyn SDE is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.

Journal: Scientific Data

Article Title: Evaluation of a novel cloud-based software platform for structured experiment design and linked data analytics

doi: 10.1038/sdata.2018.195

Figure Lengend Snippet: ( a ) All data on each experiment in the Riffyn SDE is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.

Article Snippet: The Riffyn SDE was used by the evaluation team, in their laboratory at TU Delft, to document, execute and analyze microbial cultivation in shake flasks, batch bioreactors and chemostat bioreactors.

Techniques: Software

Data is entered into Riffyn via parsing of instrument files, querying of a database, or via manual data entry. All data is passed through a firewall and contextualized based on the Riffyn SDE process design. Any files parsed during the data upload are additionally stored in their native format. All contextualized data is exported as a flat csv file with all data, material information, and setpoints captured. This flat file is built with each variable as a column, and each row as an observation. Multiple tables are concatenated together across each version of the process to provide a comprehensive, cross-version table that captures all data across the development of the process.

Journal: Scientific Data

Article Title: Evaluation of a novel cloud-based software platform for structured experiment design and linked data analytics

doi: 10.1038/sdata.2018.195

Figure Lengend Snippet: Data is entered into Riffyn via parsing of instrument files, querying of a database, or via manual data entry. All data is passed through a firewall and contextualized based on the Riffyn SDE process design. Any files parsed during the data upload are additionally stored in their native format. All contextualized data is exported as a flat csv file with all data, material information, and setpoints captured. This flat file is built with each variable as a column, and each row as an observation. Multiple tables are concatenated together across each version of the process to provide a comprehensive, cross-version table that captures all data across the development of the process.

Article Snippet: The Riffyn SDE was used by the evaluation team, in their laboratory at TU Delft, to document, execute and analyze microbial cultivation in shake flasks, batch bioreactors and chemostat bioreactors.

Techniques:

( a ) The ad hoc manual method typically used by experimenters requires visual inspection of the growth curves to exclude data points believed to be outside of exponential phase. After exclusion of such points, growth rates are calculated by regression of the remaining data points. This approach is subject to subjective interpretation and human bias. ( b ) The automatic growth rate calculation method implemented in scripts associated with the cultivation processes in the Riffyn SDE. An algorithm, rather than visual inspection, is used to identify values outside the exponential growth phase. Growth rates are then calculated using the remaining data points. Physiological parameters derived from such growth rates are objectively calculated, without human bias.

Journal: Scientific Data

Article Title: Evaluation of a novel cloud-based software platform for structured experiment design and linked data analytics

doi: 10.1038/sdata.2018.195

Figure Lengend Snippet: ( a ) The ad hoc manual method typically used by experimenters requires visual inspection of the growth curves to exclude data points believed to be outside of exponential phase. After exclusion of such points, growth rates are calculated by regression of the remaining data points. This approach is subject to subjective interpretation and human bias. ( b ) The automatic growth rate calculation method implemented in scripts associated with the cultivation processes in the Riffyn SDE. An algorithm, rather than visual inspection, is used to identify values outside the exponential growth phase. Growth rates are then calculated using the remaining data points. Physiological parameters derived from such growth rates are objectively calculated, without human bias.

Article Snippet: The Riffyn SDE was used by the evaluation team, in their laboratory at TU Delft, to document, execute and analyze microbial cultivation in shake flasks, batch bioreactors and chemostat bioreactors.

Techniques: Derivative Assay

( a ) All data on each experiment in the Riffyn SDE is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.

Journal: Scientific Data

Article Title: Evaluation of a novel cloud-based software platform for structured experiment design and linked data analytics

doi: 10.1038/sdata.2018.195

Figure Lengend Snippet: ( a ) All data on each experiment in the Riffyn SDE is extracted and flattened into a statistical data-frame compatible with nearly any modern analysis software (including R, JMP, SAS, Tableau, Minitab, etc.). This data-frame is composed of all variables defined on a Riffyn SDE process or experiment, including sample identifiers, parameter settings, start/stop times, dates, measurement data and units. The variables are presented as columns in the data-frame and grouped by step in the process. Multiple experiments executed on that same process (regardless of version) are stacked together such that data are aligned into common columns. If versions of a process diverge, gaps are left in the table where such variables are missing in the process. ( b ) Individual process data tables can be further combined into a “Master Process” data table composed of all data from all linked processes used in performing an experiment, including material preparation, equipment set-up, fermentation, and analytical chemistry processes. Data from these processes are joined together using the material flow graph defined by the Master Process in the Riffyn SDE, and the material identifiers automatically tracked by the Riffyn SDE.

Article Snippet: The Riffyn SDE is a cloud-based software-as-a-service architecture hosted and operated by Riffyn in both multi-tenant and single-organization configurations on Amazon Web Services.

Techniques: Software

Data is entered into Riffyn via parsing of instrument files, querying of a database, or via manual data entry. All data is passed through a firewall and contextualized based on the Riffyn SDE process design. Any files parsed during the data upload are additionally stored in their native format. All contextualized data is exported as a flat csv file with all data, material information, and setpoints captured. This flat file is built with each variable as a column, and each row as an observation. Multiple tables are concatenated together across each version of the process to provide a comprehensive, cross-version table that captures all data across the development of the process.

Journal: Scientific Data

Article Title: Evaluation of a novel cloud-based software platform for structured experiment design and linked data analytics

doi: 10.1038/sdata.2018.195

Figure Lengend Snippet: Data is entered into Riffyn via parsing of instrument files, querying of a database, or via manual data entry. All data is passed through a firewall and contextualized based on the Riffyn SDE process design. Any files parsed during the data upload are additionally stored in their native format. All contextualized data is exported as a flat csv file with all data, material information, and setpoints captured. This flat file is built with each variable as a column, and each row as an observation. Multiple tables are concatenated together across each version of the process to provide a comprehensive, cross-version table that captures all data across the development of the process.

Article Snippet: The Riffyn SDE is a cloud-based software-as-a-service architecture hosted and operated by Riffyn in both multi-tenant and single-organization configurations on Amazon Web Services.

Techniques:

( a ) The ad hoc manual method typically used by experimenters requires visual inspection of the growth curves to exclude data points believed to be outside of exponential phase. After exclusion of such points, growth rates are calculated by regression of the remaining data points. This approach is subject to subjective interpretation and human bias. ( b ) The automatic growth rate calculation method implemented in scripts associated with the cultivation processes in the Riffyn SDE. An algorithm, rather than visual inspection, is used to identify values outside the exponential growth phase. Growth rates are then calculated using the remaining data points. Physiological parameters derived from such growth rates are objectively calculated, without human bias.

Journal: Scientific Data

Article Title: Evaluation of a novel cloud-based software platform for structured experiment design and linked data analytics

doi: 10.1038/sdata.2018.195

Figure Lengend Snippet: ( a ) The ad hoc manual method typically used by experimenters requires visual inspection of the growth curves to exclude data points believed to be outside of exponential phase. After exclusion of such points, growth rates are calculated by regression of the remaining data points. This approach is subject to subjective interpretation and human bias. ( b ) The automatic growth rate calculation method implemented in scripts associated with the cultivation processes in the Riffyn SDE. An algorithm, rather than visual inspection, is used to identify values outside the exponential growth phase. Growth rates are then calculated using the remaining data points. Physiological parameters derived from such growth rates are objectively calculated, without human bias.

Article Snippet: The Riffyn SDE is a cloud-based software-as-a-service architecture hosted and operated by Riffyn in both multi-tenant and single-organization configurations on Amazon Web Services.

Techniques: Derivative Assay

BLG and endotoxin levels in stable dust and ambient air of cattle farms. (A) BLG in dust of cattle stables, which was collected by different methods, detected in immunoblot: stable dust extract SDE1 (Table , set 1, Vet) = dust wiped from elevated surfaces; SDE2 (Table , Set 1, Bav) = dust deposition on cardboard box over 3 weeks; SDE3 (Table , set 3, Vet) = dust collected by air filtering (1 representative example of at least 3 repetitions per collection method is shown; due to time interval between examination, strips of different individual blots are shown). ( B ) Stable dust extracts (SDE), all collected by wiping, from cattle farms ( n = 14; Table , set 2, C1–14) and poultry stable ( n = 8; Table , set 2, P1‐8) investigated by BLG‐specific ELISA (mean +/‐ SD; representative of 3 repetitions). ( C ) BLG in stable dust (sample SDE 2) confirmed by MS/MS‐LC in SDE separated via SDS‐PAGE, stained by Roti‐Blue® and the major band around 18 kDa excised. ( D ) Protein of the excised band in MS/MS‐LC (proteins UniProtKB P02754 and B5B0D4 with difference of 2 amino acids in sequence). ( E ) BLG‐concentration in air samples at different distances from cattle stable (Table , set 4, n = 4 filter/distance), extrapolated to the human respiratory volume per 24 h, determined in ELISA (1 m = outside the stable in front of open window; 156 m and 290 m distance from cattle stable, sampled on cellulose filters; at the mountain site Sonnblick at 3106 m above sea level, sampled on quartz fiber filters); and ( F ) in immunoblot with bovine BLG‐specific antibodies (1 = 1 m, 2 = 156 m, 3 = 290 m, Co = empty control filter; 3 different time points from E shown). ( G ) Levels of endotoxin were determined in dust samples of cattle ( n = 14) and poultry stable ( n = 8) (Table , set 2) by LAL test, and ( H ) in dust samples collected in different distances to cattle stable. ( I ) Occurrence of BLG in different households (hh). BLG in sieved bed dust samples from beds of cattle farm households (Cattle hh. N = 14) , poultry farm households (Poultry hh, n = 8) or urban apartments (Urban hh, n = 10), detected by an anti‐BLG antibody in ELISA (mean of 2 repetitions). BLG (commercial beta‐lactoglobulin) = positive control; OVA (ovalbumin) and Co (empty control paper filter) = negative control. M: protein weight marker in kDa. Arrows indicate monomeric (around 18 kDa) and dimeric (38 kDa) BLG. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

Journal: Clinical and Translational Allergy

Article Title: Secretory protein beta‐lactoglobulin in cattle stable dust may contribute to the allergy‐protective farm effect

doi: 10.1002/clt2.12125

Figure Lengend Snippet: BLG and endotoxin levels in stable dust and ambient air of cattle farms. (A) BLG in dust of cattle stables, which was collected by different methods, detected in immunoblot: stable dust extract SDE1 (Table , set 1, Vet) = dust wiped from elevated surfaces; SDE2 (Table , Set 1, Bav) = dust deposition on cardboard box over 3 weeks; SDE3 (Table , set 3, Vet) = dust collected by air filtering (1 representative example of at least 3 repetitions per collection method is shown; due to time interval between examination, strips of different individual blots are shown). ( B ) Stable dust extracts (SDE), all collected by wiping, from cattle farms ( n = 14; Table , set 2, C1–14) and poultry stable ( n = 8; Table , set 2, P1‐8) investigated by BLG‐specific ELISA (mean +/‐ SD; representative of 3 repetitions). ( C ) BLG in stable dust (sample SDE 2) confirmed by MS/MS‐LC in SDE separated via SDS‐PAGE, stained by Roti‐Blue® and the major band around 18 kDa excised. ( D ) Protein of the excised band in MS/MS‐LC (proteins UniProtKB P02754 and B5B0D4 with difference of 2 amino acids in sequence). ( E ) BLG‐concentration in air samples at different distances from cattle stable (Table , set 4, n = 4 filter/distance), extrapolated to the human respiratory volume per 24 h, determined in ELISA (1 m = outside the stable in front of open window; 156 m and 290 m distance from cattle stable, sampled on cellulose filters; at the mountain site Sonnblick at 3106 m above sea level, sampled on quartz fiber filters); and ( F ) in immunoblot with bovine BLG‐specific antibodies (1 = 1 m, 2 = 156 m, 3 = 290 m, Co = empty control filter; 3 different time points from E shown). ( G ) Levels of endotoxin were determined in dust samples of cattle ( n = 14) and poultry stable ( n = 8) (Table , set 2) by LAL test, and ( H ) in dust samples collected in different distances to cattle stable. ( I ) Occurrence of BLG in different households (hh). BLG in sieved bed dust samples from beds of cattle farm households (Cattle hh. N = 14) , poultry farm households (Poultry hh, n = 8) or urban apartments (Urban hh, n = 10), detected by an anti‐BLG antibody in ELISA (mean of 2 repetitions). BLG (commercial beta‐lactoglobulin) = positive control; OVA (ovalbumin) and Co (empty control paper filter) = negative control. M: protein weight marker in kDa. Arrows indicate monomeric (around 18 kDa) and dimeric (38 kDa) BLG. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

Article Snippet: Endotoxin levels in dust samples from different distances as well as aliquots of SDE+ and SDE‐ were measured by LAL (Limulus Amoebocyte Lysate) assay (Kinetic‐QCLTM Kinetic Chromogenic LAL Assay, 50–650U, LONZA, Switzerland) in the ISO17025‐accredited testing laboratory at the unit Water Hygiene, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Austria.

Techniques: Western Blot, Enzyme-linked Immunosorbent Assay, Tandem Mass Spectroscopy, SDS Page, Staining, Sequencing, Concentration Assay, Control, Positive Control, Negative Control, Marker