Item talk:Q238494

From geokb

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Predicting thermally stressful events in rivers with a strategy to evaluate management alternatives",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70176649",
       "url": "https://pubs.usgs.gov/publication/70176649"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70176649
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1002/rra.2998",
       "url": "https://doi.org/10.1002/rra.2998"
     }
   ],
   "journal": {
     "@type": "Periodical",
     "name": "River Research and Applications"
   },
   "inLanguage": "en",
   "isPartOf": [
     {
       "@type": "CreativeWorkSeries",
       "name": "River Research and Applications"
     }
   ],
   "datePublished": "2016",
   "dateModified": "2017-07-21",
   "abstract": "Water temperature is an important factor in river ecology. Numerous models have been developed to predict river temperature. However, many were not designed to predict thermally stressful periods. Because such events are rare, traditionally applied analyses are inappropriate. Here, we developed two logistic regression models to predict thermally stressful events in the Delaware River at the US Geological Survey gage near Lordville, New York. One model predicted the probability of an event >20.0\u2009\u00b0C, and a second predicted an event >22.2\u2009\u00b0C. Both models were strong (independent test data sensitivity 0.94 and 1.00, specificity 0.96 and 0.96) predicting 63 of 67 events in the >20.0\u2009\u00b0C model and all 15 events in the >22.2\u2009\u00b0C model. Both showed negative relationships with released volume from the upstream Cannonsville Reservoir and positive relationships with difference between air temperature and previous day's water temperature at Lordville. We further predicted how increasing release volumes from Cannonsville Reservoir affected the probabilities of correctly predicted events. For the >20.0\u2009\u00b0C model, an increase of 0.5 to a proportionally adjusted release (that accounts for other sources) resulted in 35.9% of events in the training data falling below cutoffs; increasing this adjustment by 1.0 resulted in 81.7% falling below cutoffs. For the >22.2\u2009\u00b0C these adjustments resulted in 71.1% and 100.0% of events falling below cutoffs. Results from these analyses can help managers make informed decisions on alternative release scenarios.",
   "description": "9 p. ",
   "publisher": {
     "@type": "Organization",
     "name": "John Wiley & Sons, Ltd."
   },
   "author": [
     {
       "@type": "Person",
       "name": "Maloney, K.O.",
       "givenName": "K.O.",
       "familyName": "Maloney",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0003-2304-0745",
         "url": "https://orcid.org/0000-0003-2304-0745"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Leetown Science Center",
           "url": "https://www.usgs.gov/centers/eesc"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Cole, J. C.",
       "givenName": "J. C.",
       "familyName": "Cole"
     },
     {
       "@type": "Person",
       "name": "Schmid, M.",
       "givenName": "M.",
       "familyName": "Schmid"
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "Coop Res Unit Leetown",
       "url": "https://www1.usgs.gov/coopunits/unit/Virginia"
     }
   ],
   "spatialCoverage": [
     {
       "@type": "Place",
       "additionalType": "country",
       "name": "United States",
       "url": "https://geonames.org/4074035"
     },
     {
       "@type": "Place",
       "additionalType": "state",
       "name": "New York"
     },
     {
       "@type": "Place",
       "additionalType": "unknown",
       "name": "Delaware River",
       "url": "https://geonames.org/4142210"
     },
     {
       "@type": "Place",
       "geo": [
         {
           "@type": "GeoShape",
           "additionalProperty": {
             "@type": "PropertyValue",
             "name": "GeoJSON",
             "value": {
               "type": "FeatureCollection",
               "features": [
                 {
                   "type": "Feature",
                   "properties": {},
                   "geometry": {
                     "type": "Polygon",
                     "coordinates": [
                       [
                         [
                           -75.4815673828125,
                           39.70296052957233
                         ],
                         [
                           -74.498291015625,
                           39.8465036024177
                         ],
                         [
                           -74.4927978515625,
                           40.26695230509781
                         ],
                         [
                           -74.970703125,
                           40.75974059207392
                         ],
                         [
                           -74.6685791015625,
                           40.979898069620155
                         ],
                         [
                           -74.5806884765625,
                           41.335575973123895
                         ],
                         [
                           -74.11376953125,
                           42.13082130188811
                         ],
                         [
                           -74.9432373046875,
                           42.44372793752476
                         ],
                         [
                           -75.574951171875,
                           42.00848901572399
                         ],
                         [
                           -75.8880615234375,
                           41.244772343082104
                         ],
                         [
                           -76.343994140625,
                           40.329795743702064
                         ],
                         [
                           -76.04736328125,
                           39.73253798438173
                         ],
                         [
                           -75.4815673828125,
                           39.70296052957233
                         ]
                       ]
                     ]
                   }
                 }
               ]
             }
           }
         },
         {
           "@type": "GeoCoordinates",
           "latitude": 40.954206673220156,
           "longitude": -75.25270112060805
         }
       ]
     }
   ]
 },
 "OpenAlex": {
   "abstract_inverted_index": {
     "Water": [
       0
     ],
     "temperature": [
       1,
       135,
       140
     ],
     "is": [
       2
     ],
     "an": [
       3,
       70,
       78,
       165
     ],
     "important": [
       4
     ],
     "factor": [
       5
     ],
     "in": [
       6,
       50,
       102,
       111,
       180,
       184,
       197,
       209
     ],
     "river": [
       7,
       16
     ],
     "ecology.": [
       8
     ],
     "Numerous": [
       9
     ],
     "models": [
       10,
       44,
       83
     ],
     "have": [
       11
     ],
     "been": [
       12
     ],
     "developed": [
       13,
       40
     ],
     "to": [
       14,
       23,
       45,
       169
     ],
     "predict": [
       15,
       24,
       46
     ],
     "temperature.": [
       17
     ],
     "However,": [
       18
     ],
     "many": [
       19
     ],
     "were": [
       20,
       84
     ],
     "not": [
       21
     ],
     "designed": [
       22
     ],
     "thermally": [
       25,
       47
     ],
     "stressful": [
       26,
       48
     ],
     "periods.": [
       27
     ],
     "Because": [
       28
     ],
     "such": [
       29
     ],
     "events": [
       30,
       49,
       101,
       110,
       183,
       214
     ],
     "are": [
       31,
       36
     ],
     "rare,": [
       32
     ],
     "traditionally": [
       33
     ],
     "applied": [
       34
     ],
     "analyses": [
       35,
       221
     ],
     "inappropriate.": [
       37
     ],
     "Here,": [
       38
     ],
     "we": [
       39
     ],
     "two": [
       41
     ],
     "logistic": [
       42
     ],
     "regression": [
       43
     ],
     "the": [
       51,
       55,
       67,
       103,
       112,
       124,
       154,
       161,
       185,
       203
     ],
     "Delaware": [
       52
     ],
     "River": [
       53
     ],
     "at": [
       54,
       141
     ],
     "US": [
       56
     ],
     "Geological": [
       57
     ],
     "Survey": [
       58
     ],
     "gage": [
       59
     ],
     "near": [
       60
     ],
     "Lordville,": [
       61
     ],
     "New": [
       62
     ],
     "York.": [
       63
     ],
     "One": [
       64
     ],
     "model": [
       65,
       106
     ],
     "predicted": [
       66,
       77,
       145,
       158
     ],
     "probability": [
       68
     ],
     "of": [
       69,
       99,
       156,
       167,
       182,
       213
     ],
     "event": [
       71,
       79
     ],
     ">20.0": [
       72,
       104,
       162
     ],
     "\u00b0C,": [
       73
     ],
     "and": [
       74,
       91,
       95,
       107,
       128,
       136,
       211
     ],
     "a": [
       75,
       170
     ],
     "second": [
       76
     ],
     ">22.2": [
       80,
       113,
       204
     ],
     "\u00b0C.": [
       81
     ],
     "Both": [
       82,
       116
     ],
     "strong": [
       85
     ],
     "(independent": [
       86
     ],
     "test": [
       87
     ],
     "data": [
       88,
       187
     ],
     "sensitivity": [
       89
     ],
     "0.94": [
       90
     ],
     "1.00,": [
       92
     ],
     "specificity": [
       93
     ],
     "0.96": [
       94
     ],
     "0.96)": [
       96
     ],
     "predicting": [
       97
     ],
     "63": [
       98
     ],
     "67": [
       100
     ],
     "\u00b0C": [
       105,
       114,
       163,
       205
     ],
     "all": [
       108
     ],
     "15": [
       109
     ],
     "model.": [
       115
     ],
     "showed": [
       117
     ],
     "negative": [
       118
     ],
     "relationships": [
       119,
       130
     ],
     "with": [
       120,
       131
     ],
     "released": [
       121
     ],
     "volume": [
       122
     ],
     "from": [
       123,
       150,
       219
     ],
     "upstream": [
       125
     ],
     "Cannonsville": [
       126,
       151
     ],
     "Reservoir": [
       127,
       152
     ],
     "positive": [
       129
     ],
     "difference": [
       132
     ],
     "between": [
       133
     ],
     "air": [
       134
     ],
     "previous": [
       137
     ],
     "day's": [
       138
     ],
     "water": [
       139
     ],
     "Lordville.": [
       142
     ],
     "We": [
       143
     ],
     "further": [
       144
     ],
     "how": [
       146
     ],
     "increasing": [
       147,
       191
     ],
     "release": [
       148,
       173,
       230
     ],
     "volumes": [
       149
     ],
     "affected": [
       153
     ],
     "probabilities": [
       155
     ],
     "correctly": [
       157
     ],
     "events.": [
       159
     ],
     "For": [
       160,
       202
     ],
     "model,": [
       164
     ],
     "increase": [
       166
     ],
     "0.5": [
       168
     ],
     "proportionally": [
       171
     ],
     "adjusted": [
       172
     ],
     "(that": [
       174
     ],
     "accounts": [
       175
     ],
     "for": [
       176
     ],
     "other": [
       177
     ],
     "sources)": [
       178
     ],
     "resulted": [
       179,
       196,
       208
     ],
     "35.9%": [
       181
     ],
     "training": [
       186
     ],
     "falling": [
       188,
       199,
       215
     ],
     "below": [
       189,
       200,
       216
     ],
     "cutoffs;": [
       190
     ],
     "this": [
       192
     ],
     "adjustment": [
       193
     ],
     "by": [
       194
     ],
     "1.0": [
       195
     ],
     "81.7%": [
       198
     ],
     "cutoffs.": [
       201,
       217
     ],
     "these": [
       206,
       220
     ],
     "adjustments": [
       207
     ],
     "71.1%": [
       210
     ],
     "100.0%": [
       212
     ],
     "Results": [
       218
     ],
     "can": [
       222
     ],
     "help": [
       223
     ],
     "managers": [
       224
     ],
     "make": [
       225
     ],
     "informed": [
       226
     ],
     "decisions": [
       227
     ],
     "on": [
       228
     ],
     "alternative": [
       229
     ],
     "scenarios.": [
       231
     ],
     "Copyright": [
       232
     ],
     "\u00a9": [
       233
     ],
     "2016": [
       234
     ],
     "John": [
       235
     ],
     "Wiley": [
       236
     ],
     "&": [
       237
     ],
     "Sons,": [
       238
     ],
     "Ltd.": [
       239
     ]
   },
   "apc_list": {
     "value": 4330,
     "currency": "USD",
     "value_usd": 4330,
     "provenance": "doaj"
   },
   "apc_paid": null,
   "authorships": [
     {
       "author_position": "first",
       "author": {
         "id": "https://openalex.org/A5017149910",
         "display_name": "Kelly O. Maloney",
         "orcid": "https://orcid.org/0000-0003-2304-0745"
       },
       "institutions": [
         {
           "id": "https://openalex.org/I4210155857",
           "display_name": "Appalachian Fruit Research Laboratory",
           "ror": "https://ror.org/052kar395",
           "country_code": "US",
           "type": "facility",
           "lineage": [
             "https://openalex.org/I1312222531",
             "https://openalex.org/I1336096307",
             "https://openalex.org/I4210138094",
             "https://openalex.org/I4210155857"
           ]
         }
       ],
       "countries": [
         "US"
       ],
       "is_corresponding": true,
       "raw_author_name": "K. O. Maloney",
       "raw_affiliation_strings": [
         "Northern Appalachian Research Laboratory, USGS Leetown Science Center, Wellsboro, Pennsylvania, USA"
       ],
       "affiliations": [
         {
           "raw_affiliation_string": "Northern Appalachian Research Laboratory, USGS Leetown Science Center, Wellsboro, Pennsylvania, USA",
           "institution_ids": [
             "https://openalex.org/I4210155857"
           ]
         }
       ]
     },
     {
       "author_position": "middle",
       "author": {
         "id": "https://openalex.org/A5052449616",
         "display_name": "J.C. Cole",
         "orcid": "https://orcid.org/0000-0002-2477-7231"
       },
       "institutions": [
         {
           "id": "https://openalex.org/I4210155857",
           "display_name": "Appalachian Fruit Research Laboratory",
           "ror": "https://ror.org/052kar395",
           "country_code": "US",
           "type": "facility",
           "lineage": [
             "https://openalex.org/I1312222531",
             "https://openalex.org/I1336096307",
             "https://openalex.org/I4210138094",
             "https://openalex.org/I4210155857"
           ]
         }
       ],
       "countries": [
         "US"
       ],
       "is_corresponding": false,
       "raw_author_name": "J. C. Cole",
       "raw_affiliation_strings": [
         "Northern Appalachian Research Laboratory, USGS Leetown Science Center, Wellsboro, Pennsylvania, USA"
       ],
       "affiliations": [
         {
           "raw_affiliation_string": "Northern Appalachian Research Laboratory, USGS Leetown Science Center, Wellsboro, Pennsylvania, USA",
           "institution_ids": [
             "https://openalex.org/I4210155857"
           ]
         }
       ]
     },
     {
       "author_position": "last",
       "author": {
         "id": "https://openalex.org/A5031620559",
         "display_name": "Matthias Schmid",
         "orcid": "https://orcid.org/0000-0002-0788-0317"
       },
       "institutions": [
         {
           "id": "https://openalex.org/I135140700",
           "display_name": "University of Bonn",
           "ror": "https://ror.org/041nas322",
           "country_code": "DE",
           "type": "education",
           "lineage": [
             "https://openalex.org/I135140700"
           ]
         },
         {
           "id": "https://openalex.org/I4210099379",
           "display_name": "Zimmer Biomet (Germany)",
           "ror": "https://ror.org/016731f38",
           "country_code": "DE",
           "type": "company",
           "lineage": [
             "https://openalex.org/I4210099379",
             "https://openalex.org/I4210115238"
           ]
         }
       ],
       "countries": [
         "DE"
       ],
       "is_corresponding": false,
       "raw_author_name": "M. Schmid",
       "raw_affiliation_strings": [
         "Department of Medical Biometry, University of Bonn, Bonn, Germany"
       ],
       "affiliations": [
         {
           "raw_affiliation_string": "Department of Medical Biometry, University of Bonn, Bonn, Germany",
           "institution_ids": [
             "https://openalex.org/I135140700",
             "https://openalex.org/I4210099379"
           ]
         }
       ]
     }
   ],
   "best_oa_location": null,
   "biblio": {
     "volume": "32",
     "issue": "7",
     "first_page": "1428",
     "last_page": "1437"
   },
   "citation_normalized_percentile": {
     "value": 0.638391,
     "is_in_top_1_percent": false,
     "is_in_top_10_percent": false
   },
   "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2252660631",
   "cited_by_count": 5,
   "cited_by_percentile_year": {
     "min": 82,
     "max": 84
   },
   "concepts": [
     {
       "id": "https://openalex.org/C39432304",
       "wikidata": "https://www.wikidata.org/wiki/Q188847",
       "display_name": "Environmental science",
       "level": 0,
       "score": 0.63917387
     },
     {
       "id": "https://openalex.org/C151956035",
       "wikidata": "https://www.wikidata.org/wiki/Q1132755",
       "display_name": "Logistic regression",
       "level": 2,
       "score": 0.6054205
     },
     {
       "id": "https://openalex.org/C2779662365",
       "wikidata": "https://www.wikidata.org/wiki/Q5416694",
       "display_name": "Event (particle physics)",
       "level": 2,
       "score": 0.5000403
     },
     {
       "id": "https://openalex.org/C76886044",
       "wikidata": "https://www.wikidata.org/wiki/Q2883300",
       "display_name": "Hydrology (agriculture)",
       "level": 2,
       "score": 0.41464862
     },
     {
       "id": "https://openalex.org/C105795698",
       "wikidata": "https://www.wikidata.org/wiki/Q12483",
       "display_name": "Statistics",
       "level": 1,
       "score": 0.33475167
     },
     {
       "id": "https://openalex.org/C33923547",
       "wikidata": "https://www.wikidata.org/wiki/Q395",
       "display_name": "Mathematics",
       "level": 0,
       "score": 0.19816917
     },
     {
       "id": "https://openalex.org/C127313418",
       "wikidata": "https://www.wikidata.org/wiki/Q1069",
       "display_name": "Geology",
       "level": 0,
       "score": 0.15128633
     },
     {
       "id": "https://openalex.org/C121332964",
       "wikidata": "https://www.wikidata.org/wiki/Q413",
       "display_name": "Physics",
       "level": 0,
       "score": 0.0
     },
     {
       "id": "https://openalex.org/C187320778",
       "wikidata": "https://www.wikidata.org/wiki/Q1349130",
       "display_name": "Geotechnical engineering",
       "level": 1,
       "score": 0.0
     },
     {
       "id": "https://openalex.org/C62520636",
       "wikidata": "https://www.wikidata.org/wiki/Q944",
       "display_name": "Quantum mechanics",
       "level": 1,
       "score": 0.0
     }
   ],
   "corresponding_author_ids": [
     "https://openalex.org/A5017149910"
   ],
   "corresponding_institution_ids": [
     "https://openalex.org/I4210155857"
   ],
   "countries_distinct_count": 2,
   "counts_by_year": [
     {
       "year": 2021,
       "cited_by_count": 1
     },
     {
       "year": 2019,
       "cited_by_count": 2
     },
     {
       "year": 2018,
       "cited_by_count": 2
     }
   ],
   "created_date": "2016-06-24",
   "datasets": [],
   "display_name": "Predicting Thermally Stressful Events in Rivers with a Strategy to Evaluate Management Alternatives",
   "doi": "https://doi.org/10.1002/rra.2998",
   "fulltext_origin": "ngrams",
   "fwci": 1.118,
   "grants": [],
   "has_fulltext": true,
   "id": "https://openalex.org/W2252660631",
   "ids": {
     "openalex": "https://openalex.org/W2252660631",
     "doi": "https://doi.org/10.1002/rra.2998",
     "mag": "2252660631"
   },
   "indexed_in": [
     "crossref"
   ],
   "institutions_distinct_count": 3,
   "is_paratext": false,
   "is_retracted": false,
   "keywords": [
     {
       "id": "https://openalex.org/keywords/hydrological-modeling",
       "display_name": "Hydrological Modeling",
       "score": 0.520119
     },
     {
       "id": "https://openalex.org/keywords/watershed-simulation",
       "display_name": "Watershed Simulation",
       "score": 0.508051
     }
   ],
   "language": "en",
   "locations": [
     {
       "is_oa": false,
       "landing_page_url": "https://doi.org/10.1002/rra.2998",
       "pdf_url": null,
       "source": {
         "id": "https://openalex.org/S133770025",
         "display_name": "River Research and Applications",
         "issn_l": "1535-1459",
         "issn": [
           "1535-1459",
           "1535-1467"
         ],
         "is_oa": false,
         "is_in_doaj": false,
         "is_core": true,
         "host_organization": "https://openalex.org/P4310320595",
         "host_organization_name": "Wiley",
         "host_organization_lineage": [
           "https://openalex.org/P4310320595"
         ],
         "host_organization_lineage_names": [
           "Wiley"
         ],
         "type": "journal"
       },
       "license": null,
       "license_id": null,
       "version": null,
       "is_accepted": false,
       "is_published": false
     }
   ],
   "locations_count": 1,
   "mesh": [],
   "ngrams_url": "https://api.openalex.org/works/W2252660631/ngrams",
   "open_access": {
     "is_oa": false,
     "oa_status": "closed",
     "oa_url": null,
     "any_repository_has_fulltext": false
   },
   "primary_location": {
     "is_oa": false,
     "landing_page_url": "https://doi.org/10.1002/rra.2998",
     "pdf_url": null,
     "source": {
       "id": "https://openalex.org/S133770025",
       "display_name": "River Research and Applications",
       "issn_l": "1535-1459",
       "issn": [
         "1535-1459",
         "1535-1467"
       ],
       "is_oa": false,
       "is_in_doaj": false,
       "is_core": true,
       "host_organization": "https://openalex.org/P4310320595",
       "host_organization_name": "Wiley",
       "host_organization_lineage": [
         "https://openalex.org/P4310320595"
       ],
       "host_organization_lineage_names": [
         "Wiley"
       ],
       "type": "journal"
     },
     "license": null,
     "license_id": null,
     "version": null,
     "is_accepted": false,
     "is_published": false
   },
   "primary_topic": {
     "id": "https://openalex.org/T10302",
     "display_name": "Importance and Conservation of Freshwater Biodiversity",
     "score": 0.9998,
     "subfield": {
       "id": "https://openalex.org/subfields/2309",
       "display_name": "Nature and Landscape Conservation"
     },
     "field": {
       "id": "https://openalex.org/fields/23",
       "display_name": "Environmental Science"
     },
     "domain": {
       "id": "https://openalex.org/domains/3",
       "display_name": "Physical Sciences"
     }
   },
   "publication_date": "2016-01-26",
   "publication_year": 2016,
   "referenced_works": [
     "https://openalex.org/W1503274705",
     "https://openalex.org/W1827187564",
     "https://openalex.org/W1860093990",
     "https://openalex.org/W1969918617",
     "https://openalex.org/W1976676731",
     "https://openalex.org/W1983863330",
     "https://openalex.org/W1989910206",
     "https://openalex.org/W1990029115",
     "https://openalex.org/W1990670130",
     "https://openalex.org/W2007827421",
     "https://openalex.org/W2008942529",
     "https://openalex.org/W2017910730",
     "https://openalex.org/W2021725104",
     "https://openalex.org/W2025741277",
     "https://openalex.org/W2032632138",
     "https://openalex.org/W2033998230",
     "https://openalex.org/W2040758121",
     "https://openalex.org/W2046498361",
     "https://openalex.org/W2054760843",
     "https://openalex.org/W2066641403",
     "https://openalex.org/W2078129874",
     "https://openalex.org/W2086629878",
     "https://openalex.org/W2096113236",
     "https://openalex.org/W2096628440",
     "https://openalex.org/W2136738144",
     "https://openalex.org/W2144875407",
     "https://openalex.org/W2146317308",
     "https://openalex.org/W2149709750",
     "https://openalex.org/W2151717432",
     "https://openalex.org/W2155927233",
     "https://openalex.org/W2158159695",
     "https://openalex.org/W2159086612",
     "https://openalex.org/W2159193885",
     "https://openalex.org/W2163508462",
     "https://openalex.org/W2168313526",
     "https://openalex.org/W2332051286",
     "https://openalex.org/W2787894218",
     "https://openalex.org/W2911964244"
   ],
   "referenced_works_count": 38,
   "related_works": [
     "https://openalex.org/W3217448422",
     "https://openalex.org/W2978363435",
     "https://openalex.org/W2923497059",
     "https://openalex.org/W2908249560",
     "https://openalex.org/W2588972388",
     "https://openalex.org/W2351279712",
     "https://openalex.org/W2129863591",
     "https://openalex.org/W1922851888",
     "https://openalex.org/W1596769710",
     "https://openalex.org/W1548888553"
   ],
   "sustainable_development_goals": [
     {
       "id": "https://metadata.un.org/sdg/6",
       "score": 0.81,
       "display_name": "Clean water and sanitation"
     }
   ],
   "title": "Predicting Thermally Stressful Events in Rivers with a Strategy to Evaluate Management Alternatives",
   "topics": [
     {
       "id": "https://openalex.org/T10302",
       "display_name": "Importance and Conservation of Freshwater Biodiversity",
       "score": 0.9998,
       "subfield": {
         "id": "https://openalex.org/subfields/2309",
         "display_name": "Nature and Landscape Conservation"
       },
       "field": {
         "id": "https://openalex.org/fields/23",
         "display_name": "Environmental Science"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     },
     {
       "id": "https://openalex.org/T10577",
       "display_name": "Ecological Dynamics of Riverine Landscapes",
       "score": 0.9993,
       "subfield": {
         "id": "https://openalex.org/subfields/2303",
         "display_name": "Ecology"
       },
       "field": {
         "id": "https://openalex.org/fields/23",
         "display_name": "Environmental Science"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     },
     {
       "id": "https://openalex.org/T10330",
       "display_name": "Hydrological Modeling and Water Resource Management",
       "score": 0.9989,
       "subfield": {
         "id": "https://openalex.org/subfields/2312",
         "display_name": "Water Science and Technology"
       },
       "field": {
         "id": "https://openalex.org/fields/23",
         "display_name": "Environmental Science"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     }
   ],
   "type": "article",
   "type_crossref": "journal-article",
   "updated_date": "2024-08-09T00:36:05.577395",
   "versions": []
 }

}