On the correct use of cumulative applied climate indices for studying biological objects View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-10

AUTHORS

E. N. Popova, V. V. Yasyukevich, I. O. Popov

ABSTRACT

The cumulative applied climate indices SAT and SET used in the Russian literature are considered in detail. These indices differ in calculation methods and, consequently, their values differ in different regions. The example is presented of the incorrect use of these indices by some authors for studying biological objects which leads to false conclusions. The method of calculation of the foreign applied climate index GDD is given. This index corresponds to the Russian index SET, and its interpretation as a counterpart of SAT is wrong. More... »

PAGES

661-664

Identifiers

URI

http://scigraph.springernature.com/pub.10.3103/s1068373917100053

DOI

http://dx.doi.org/10.3103/s1068373917100053

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092687284


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Institute of Global Climate and Ecology of Roshydromet and Russian Academy of Sciences, ul. Glebovskaya 20b, 107258, Moscow, Russia", 
            "Institute of Geography, Russian Academy of Sciences, Staromonetnyi per. 29, 119017, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Popova", 
        "givenName": "E. N.", 
        "id": "sg:person.013311562726.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013311562726.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Institute of Global Climate and Ecology of Roshydromet and Russian Academy of Sciences, ul. Glebovskaya 20b, 107258, Moscow, Russia", 
            "Institute of Geography, Russian Academy of Sciences, Staromonetnyi per. 29, 119017, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yasyukevich", 
        "givenName": "V. V.", 
        "id": "sg:person.010055202761.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010055202761.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Global Climate and Ecology", 
          "id": "https://www.grid.ac/institutes/grid.435253.6", 
          "name": [
            "Institute of Global Climate and Ecology of Roshydromet and Russian Academy of Sciences, ul. Glebovskaya 20b, 107258, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Popov", 
        "givenName": "I. O.", 
        "id": "sg:person.014501257107.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014501257107.81"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0168-1923(97)00027-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046753497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcse.2007.55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061398159"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-10", 
    "datePublishedReg": "2017-10-01", 
    "description": "The cumulative applied climate indices SAT and SET used in the Russian literature are considered in detail. These indices differ in calculation methods and, consequently, their values differ in different regions. The example is presented of the incorrect use of these indices by some authors for studying biological objects which leads to false conclusions. The method of calculation of the foreign applied climate index GDD is given. This index corresponds to the Russian index SET, and its interpretation as a counterpart of SAT is wrong.", 
    "genre": "research_article", 
    "id": "sg:pub.10.3103/s1068373917100053", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136194", 
        "issn": [
          "1068-3739", 
          "0130-2906"
        ], 
        "name": "Russian Meteorology and Hydrology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "42"
      }
    ], 
    "name": "On the correct use of cumulative applied climate indices for studying biological objects", 
    "pagination": "661-664", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2571dc33c5777e48b4d97f0bf9cc77cabe588caa26fa8049538842704004752e"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.3103/s1068373917100053"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092687284"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.3103/s1068373917100053", 
      "https://app.dimensions.ai/details/publication/pub.1092687284"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8690_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.3103/S1068373917100053"
  }
]
 

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.10.3103/s1068373917100053'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.3103/s1068373917100053'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.3103/s1068373917100053'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.3103/s1068373917100053'


 

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

85 TRIPLES      21 PREDICATES      29 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.3103/s1068373917100053 schema:about anzsrc-for:17
2 anzsrc-for:1701
3 schema:author Ncb8256dd817b42088e5485893bce400c
4 schema:citation https://doi.org/10.1016/s0168-1923(97)00027-0
5 https://doi.org/10.1109/mcse.2007.55
6 schema:datePublished 2017-10
7 schema:datePublishedReg 2017-10-01
8 schema:description The cumulative applied climate indices SAT and SET used in the Russian literature are considered in detail. These indices differ in calculation methods and, consequently, their values differ in different regions. The example is presented of the incorrect use of these indices by some authors for studying biological objects which leads to false conclusions. The method of calculation of the foreign applied climate index GDD is given. This index corresponds to the Russian index SET, and its interpretation as a counterpart of SAT is wrong.
9 schema:genre research_article
10 schema:inLanguage en
11 schema:isAccessibleForFree false
12 schema:isPartOf N671728879dc64ad18d103f37ad9401cb
13 N74f990c0bd1245fdbeeddeb7c9ea44e7
14 sg:journal.1136194
15 schema:name On the correct use of cumulative applied climate indices for studying biological objects
16 schema:pagination 661-664
17 schema:productId N08db44767f3b4291b1f860e2006daf32
18 N45b8c5178a5d4aae94d5f641f3f5fa2d
19 N9fbff9088fc9462d99d76a6abf68eb3f
20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092687284
21 https://doi.org/10.3103/s1068373917100053
22 schema:sdDatePublished 2019-04-10T22:27
23 schema:sdLicense https://scigraph.springernature.com/explorer/license/
24 schema:sdPublisher Nbd34f93f94454c98b6ea5a9f7ae30038
25 schema:url http://link.springer.com/10.3103/S1068373917100053
26 sgo:license sg:explorer/license/
27 sgo:sdDataset articles
28 rdf:type schema:ScholarlyArticle
29 N08db44767f3b4291b1f860e2006daf32 schema:name dimensions_id
30 schema:value pub.1092687284
31 rdf:type schema:PropertyValue
32 N45b8c5178a5d4aae94d5f641f3f5fa2d schema:name readcube_id
33 schema:value 2571dc33c5777e48b4d97f0bf9cc77cabe588caa26fa8049538842704004752e
34 rdf:type schema:PropertyValue
35 N502210bc255546bcbd31b265b2002492 rdf:first sg:person.014501257107.81
36 rdf:rest rdf:nil
37 N671728879dc64ad18d103f37ad9401cb schema:issueNumber 10
38 rdf:type schema:PublicationIssue
39 N74f990c0bd1245fdbeeddeb7c9ea44e7 schema:volumeNumber 42
40 rdf:type schema:PublicationVolume
41 N8db3669b941e4f30ba5ec16d2a33dfbb rdf:first sg:person.010055202761.79
42 rdf:rest N502210bc255546bcbd31b265b2002492
43 N9fbff9088fc9462d99d76a6abf68eb3f schema:name doi
44 schema:value 10.3103/s1068373917100053
45 rdf:type schema:PropertyValue
46 Nbd34f93f94454c98b6ea5a9f7ae30038 schema:name Springer Nature - SN SciGraph project
47 rdf:type schema:Organization
48 Ncb8256dd817b42088e5485893bce400c rdf:first sg:person.013311562726.15
49 rdf:rest N8db3669b941e4f30ba5ec16d2a33dfbb
50 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
51 schema:name Psychology and Cognitive Sciences
52 rdf:type schema:DefinedTerm
53 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
54 schema:name Psychology
55 rdf:type schema:DefinedTerm
56 sg:journal.1136194 schema:issn 0130-2906
57 1068-3739
58 schema:name Russian Meteorology and Hydrology
59 rdf:type schema:Periodical
60 sg:person.010055202761.79 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
61 schema:familyName Yasyukevich
62 schema:givenName V. V.
63 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010055202761.79
64 rdf:type schema:Person
65 sg:person.013311562726.15 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
66 schema:familyName Popova
67 schema:givenName E. N.
68 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013311562726.15
69 rdf:type schema:Person
70 sg:person.014501257107.81 schema:affiliation https://www.grid.ac/institutes/grid.435253.6
71 schema:familyName Popov
72 schema:givenName I. O.
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014501257107.81
74 rdf:type schema:Person
75 https://doi.org/10.1016/s0168-1923(97)00027-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046753497
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1109/mcse.2007.55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061398159
78 rdf:type schema:CreativeWork
79 https://www.grid.ac/institutes/grid.435253.6 schema:alternateName Institute of Global Climate and Ecology
80 schema:name Institute of Global Climate and Ecology of Roshydromet and Russian Academy of Sciences, ul. Glebovskaya 20b, 107258, Moscow, Russia
81 rdf:type schema:Organization
82 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
83 schema:name Institute of Geography, Russian Academy of Sciences, Staromonetnyi per. 29, 119017, Moscow, Russia
84 Institute of Global Climate and Ecology of Roshydromet and Russian Academy of Sciences, ul. Glebovskaya 20b, 107258, Moscow, Russia
85 rdf:type schema:Organization
 




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


...