Sas_analyzer software for small-angle X-ray scattering data treatment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-07

AUTHORS

S. A. Poluyanov, F. V. Tuzikov, Yu. V. Larichev, S. V. Tsybulya

ABSTRACT

New approaches to the analysis of small-angle X-ray scattering data from nanoscale systems based on the optimization and direct multiple shooting methods are presented. A program is developed, which bears on these new approaches and allows a user to model small-angle X-ray diffraction data, introduce collimation corrections, and analyze dispersions in the samples. The program results for a number of typical nanosized systems (sols, catalysts) are reported and the comparison with currently available programs for small-angle data processing is presented. More... »

PAGES

771-776

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0022476616040211

DOI

http://dx.doi.org/10.1134/s0022476616040211

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050974078


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0302", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Inorganic Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0307", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Theoretical and Computational Chemistry", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia", 
          "id": "http://www.grid.ac/institutes/grid.418421.a", 
          "name": [
            "Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poluyanov", 
        "givenName": "S. A.", 
        "id": "sg:person.013064305254.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013064305254.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia", 
          "id": "http://www.grid.ac/institutes/grid.418421.a", 
          "name": [
            "Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tuzikov", 
        "givenName": "F. V.", 
        "id": "sg:person.01044435124.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044435124.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Novosibirsk National Research State University, Novosibirsk, Russia", 
          "id": "http://www.grid.ac/institutes/grid.4605.7", 
          "name": [
            "Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia", 
            "Novosibirsk National Research State University, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Larichev", 
        "givenName": "Yu. V.", 
        "id": "sg:person.015551673724.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015551673724.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Novosibirsk National Research State University, Novosibirsk, Russia", 
          "id": "http://www.grid.ac/institutes/grid.4605.7", 
          "name": [
            "Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia", 
            "Novosibirsk National Research State University, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsybulya", 
        "givenName": "S. V.", 
        "id": "sg:person.011252704043.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011252704043.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11051-012-1089-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022783796", 
          "https://doi.org/10.1007/s11051-012-1089-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10975-005-0113-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006058330", 
          "https://doi.org/10.1007/s10975-005-0113-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0023158410060145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022682093", 
          "https://doi.org/10.1134/s0023158410060145"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-07", 
    "datePublishedReg": "2016-07-01", 
    "description": "New approaches to the analysis of small-angle X-ray scattering data from nanoscale systems based on the optimization and direct multiple shooting methods are presented. A program is developed, which bears on these new approaches and allows a user to model small-angle X-ray diffraction data, introduce collimation corrections, and analyze dispersions in the samples. The program results for a number of typical nanosized systems (sols, catalysts) are reported and the comparison with currently available programs for small-angle data processing is presented.", 
    "genre": "article", 
    "id": "sg:pub.10.1134/s0022476616040211", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135923", 
        "issn": [
          "0022-4766", 
          "2542-0976"
        ], 
        "name": "Journal of Structural Chemistry", 
        "publisher": "Pleiades Publishing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "57"
      }
    ], 
    "keywords": [
      "direct multiple shooting method", 
      "data processing", 
      "new approach", 
      "available programs", 
      "collimation corrections", 
      "multiple shooting method", 
      "users", 
      "software", 
      "system", 
      "processing", 
      "data treatment", 
      "optimization", 
      "data", 
      "program", 
      "shooting method", 
      "nanoscale systems", 
      "method", 
      "number", 
      "X-ray diffraction data", 
      "small-angle X-ray diffraction data", 
      "diffraction data", 
      "X-ray", 
      "comparison", 
      "analysis", 
      "correction", 
      "approach", 
      "dispersion", 
      "small-angle X-ray", 
      "samples", 
      "treatment"
    ], 
    "name": "Sas_analyzer software for small-angle X-ray scattering data treatment", 
    "pagination": "771-776", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050974078"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0022476616040211"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0022476616040211", 
      "https://app.dimensions.ai/details/publication/pub.1050974078"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:14", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_707.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1134/s0022476616040211"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1134/s0022476616040211'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s0022476616040211'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0022476616040211'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0022476616040211'


 

This table displays all metadata directly associated to this object as RDF triples.

133 TRIPLES      22 PREDICATES      61 URIs      48 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0022476616040211 schema:about anzsrc-for:03
2 anzsrc-for:0302
3 anzsrc-for:0306
4 anzsrc-for:0307
5 schema:author N9b5b3d2737584ba482a0535fe7076203
6 schema:citation sg:pub.10.1007/s10975-005-0113-9
7 sg:pub.10.1007/s11051-012-1089-9
8 sg:pub.10.1134/s0023158410060145
9 schema:datePublished 2016-07
10 schema:datePublishedReg 2016-07-01
11 schema:description New approaches to the analysis of small-angle X-ray scattering data from nanoscale systems based on the optimization and direct multiple shooting methods are presented. A program is developed, which bears on these new approaches and allows a user to model small-angle X-ray diffraction data, introduce collimation corrections, and analyze dispersions in the samples. The program results for a number of typical nanosized systems (sols, catalysts) are reported and the comparison with currently available programs for small-angle data processing is presented.
12 schema:genre article
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf Ncb3640722e3446dbb9ca4819e464981c
16 Nd625b997484d4792b16bd0f4fd72e933
17 sg:journal.1135923
18 schema:keywords X-ray
19 X-ray diffraction data
20 analysis
21 approach
22 available programs
23 collimation corrections
24 comparison
25 correction
26 data
27 data processing
28 data treatment
29 diffraction data
30 direct multiple shooting method
31 dispersion
32 method
33 multiple shooting method
34 nanoscale systems
35 new approach
36 number
37 optimization
38 processing
39 program
40 samples
41 shooting method
42 small-angle X-ray
43 small-angle X-ray diffraction data
44 software
45 system
46 treatment
47 users
48 schema:name Sas_analyzer software for small-angle X-ray scattering data treatment
49 schema:pagination 771-776
50 schema:productId N86012ae05a9843709677324feb027000
51 Ncc811c5fe9d34ce19b5198df9e58e596
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050974078
53 https://doi.org/10.1134/s0022476616040211
54 schema:sdDatePublished 2022-05-10T10:14
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N7cb4ab27d7934b76b63921ae3de4a57d
57 schema:url https://doi.org/10.1134/s0022476616040211
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N2a67e412ccd54b70a7c7d795007dfdae rdf:first sg:person.015551673724.78
62 rdf:rest N3bac8bd4abec4a6bbdedec3220e6d022
63 N3bac8bd4abec4a6bbdedec3220e6d022 rdf:first sg:person.011252704043.40
64 rdf:rest rdf:nil
65 N404a435117624885a28c5f751ba4de66 rdf:first sg:person.01044435124.46
66 rdf:rest N2a67e412ccd54b70a7c7d795007dfdae
67 N7cb4ab27d7934b76b63921ae3de4a57d schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 N86012ae05a9843709677324feb027000 schema:name dimensions_id
70 schema:value pub.1050974078
71 rdf:type schema:PropertyValue
72 N9b5b3d2737584ba482a0535fe7076203 rdf:first sg:person.013064305254.46
73 rdf:rest N404a435117624885a28c5f751ba4de66
74 Ncb3640722e3446dbb9ca4819e464981c schema:issueNumber 4
75 rdf:type schema:PublicationIssue
76 Ncc811c5fe9d34ce19b5198df9e58e596 schema:name doi
77 schema:value 10.1134/s0022476616040211
78 rdf:type schema:PropertyValue
79 Nd625b997484d4792b16bd0f4fd72e933 schema:volumeNumber 57
80 rdf:type schema:PublicationVolume
81 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
82 schema:name Chemical Sciences
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0302 schema:inDefinedTermSet anzsrc-for:
85 schema:name Inorganic Chemistry
86 rdf:type schema:DefinedTerm
87 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
88 schema:name Physical Chemistry (incl. Structural)
89 rdf:type schema:DefinedTerm
90 anzsrc-for:0307 schema:inDefinedTermSet anzsrc-for:
91 schema:name Theoretical and Computational Chemistry
92 rdf:type schema:DefinedTerm
93 sg:journal.1135923 schema:issn 0022-4766
94 2542-0976
95 schema:name Journal of Structural Chemistry
96 schema:publisher Pleiades Publishing
97 rdf:type schema:Periodical
98 sg:person.01044435124.46 schema:affiliation grid-institutes:grid.418421.a
99 schema:familyName Tuzikov
100 schema:givenName F. V.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044435124.46
102 rdf:type schema:Person
103 sg:person.011252704043.40 schema:affiliation grid-institutes:grid.4605.7
104 schema:familyName Tsybulya
105 schema:givenName S. V.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011252704043.40
107 rdf:type schema:Person
108 sg:person.013064305254.46 schema:affiliation grid-institutes:grid.418421.a
109 schema:familyName Poluyanov
110 schema:givenName S. A.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013064305254.46
112 rdf:type schema:Person
113 sg:person.015551673724.78 schema:affiliation grid-institutes:grid.4605.7
114 schema:familyName Larichev
115 schema:givenName Yu. V.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015551673724.78
117 rdf:type schema:Person
118 sg:pub.10.1007/s10975-005-0113-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006058330
119 https://doi.org/10.1007/s10975-005-0113-9
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/s11051-012-1089-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022783796
122 https://doi.org/10.1007/s11051-012-1089-9
123 rdf:type schema:CreativeWork
124 sg:pub.10.1134/s0023158410060145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022682093
125 https://doi.org/10.1134/s0023158410060145
126 rdf:type schema:CreativeWork
127 grid-institutes:grid.418421.a schema:alternateName Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
128 schema:name Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
129 rdf:type schema:Organization
130 grid-institutes:grid.4605.7 schema:alternateName Novosibirsk National Research State University, Novosibirsk, Russia
131 schema:name Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
132 Novosibirsk National Research State University, Novosibirsk, Russia
133 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...