{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "Heed the data gap: Guidelines for using incomplete datasets in annual stream temperature analyses",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70216999",
"url": "https://pubs.usgs.gov/publication/70216999"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70216999
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.ecolind.2020.107229",
"url": "https://doi.org/10.1016/j.ecolind.2020.107229"
}
],
"journal": {
"@type": "Periodical",
"name": "Ecological Indicators",
"volumeNumber": "122",
"issueNumber": null
},
"inLanguage": "en",
"isPartOf": [
{
"@type": "CreativeWorkSeries",
"name": "Ecological Indicators"
}
],
"datePublished": "2021",
"dateModified": "2020-12-23",
"abstract": "Stream temperature data are useful for deciphering watershed processes important for aquatic ecosystems. Accurately extracting signal trends from stream temperature is essential for predicting responses of environmental and ecological indicators to change. Missing data periods are common for various reasons, and pose a challenge for scientists using temperature signal analysis to support stream research and ecological management objectives. However, the sensitivity of estimated temperature signal patterns to missing data has not been thoroughly evaluated, despite the potentially large impact on interpretation. In this study, we explored the effects of simulated missing daily data on the characterization of annual water temperature signals measured at headwater sites in the Pacific Northwest and Mid-Atlantic regions of the USA. For each site, we used linear regressions of sine-waves fitted to complete (365-d) and partial (7\u2013357 consecutive missing data points) annual datasets of daily mean water temperature and computed three thermal parameters (mean, phase, and amplitude), which together can indicate thermally and ecologically influential watershed processes (e.g., depth and magnitude of groundwater discharge). Expected values (derived from complete datasets) ranged from 7.0 to 12.6\u00a0\u00b0C, 205 to 254\u00a0d, and 1.9 to 9.5\u00a0\u00b0C for annual mean, phase, and amplitude, respectively. While annual phase and amplitude could be accurately estimated (i.e., within 95\u201399% confidence intervals of expected values) with up to approximately two months of consecutively missing data, annual mean temperature required more complete datasets. We found that datasets with less than seven weeks of consecutively missing data enabled estimation of all annual signal parameters with reasonable accuracy (>75% probability of being within the 95\u201399% confidence intervals of expected values). Imputation of missing data expanded this range to approximately 20\u00a0weeks, with the greatest improvements in parameter estimation between 9 and 27\u00a0weeks of imputed missing data. However, caution should be exercised when applying this technique. For example, imputation improved the accuracy of parameter estimation for most sites, but accuracy decreased for some sites exhibiting strong groundwater influence. The timing of consecutive missing data points within a year had inconsistent effects on annual thermal parameter estimates among regions, years, and individual parameters. Utilizing sites with more than approximately seven consecutive weeks of missing data or 20\u00a0weeks of imputed data increases the probability of mischaracterization of annual stream thermal regimes. Understanding this limitation is vital for identifying the potential of streams to serve as climate refugia for ecological indicator species and effective future management of stream systems.",
"description": "107229, 14 p.",
"publisher": {
"@type": "Organization",
"name": "Elsevier"
},
"author": [
{
"@type": "Person",
"name": "Devine, Warren",
"givenName": "Warren",
"familyName": "Devine",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0003-2520-0925",
"url": "https://orcid.org/0000-0003-2520-0925"
},
"affiliation": [
{
"@type": "Organization",
"name": "Washington State Department of Natural Resources"
}
]
},
{
"@type": "Person",
"name": "Snyder, Craig D. csnyder@usgs.gov",
"givenName": "Craig D.",
"familyName": "Snyder",
"email": "csnyder@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-3448-597X",
"url": "https://orcid.org/0000-0002-3448-597X"
},
"affiliation": [
{
"@type": "Organization",
"name": "Leetown Science Center",
"url": "https://www.usgs.gov/centers/eesc"
}
]
},
{
"@type": "Person",
"name": "Hitt, Nathaniel P. nhitt@usgs.gov",
"givenName": "Nathaniel P.",
"familyName": "Hitt",
"email": "nhitt@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-1046-4568",
"url": "https://orcid.org/0000-0002-1046-4568"
},
"affiliation": [
{
"@type": "Organization",
"name": "Leetown Science Center",
"url": "https://www.usgs.gov/centers/eesc"
}
]
},
{
"@type": "Person",
"name": "Johnson, Zachary C.",
"givenName": "Zachary C.",
"familyName": "Johnson",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-0149-5223",
"url": "https://orcid.org/0000-0002-0149-5223"
},
"affiliation": [
{
"@type": "Organization",
"name": "Environmental Protection Agency"
}
]
},
{
"@type": "Person",
"name": "Johnson, Brittany G.",
"givenName": "Brittany G.",
"familyName": "Johnson",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-8837-997X",
"url": "https://orcid.org/0000-0002-8837-997X"
},
"affiliation": [
{
"@type": "Organization",
"name": "University of Washington"
}
]
},
{
"@type": "Person",
"name": "Briggs, Martin A. mbriggs@usgs.gov",
"givenName": "Martin A.",
"familyName": "Briggs",
"email": "mbriggs@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0003-3206-4132",
"url": "https://orcid.org/0000-0003-3206-4132"
},
"affiliation": [
{
"@type": "Organization",
"name": "WMA - Earth System Processes Division",
"url": "https://www.usgs.gov/mission-areas/water-resources"
},
{
"@type": "Organization",
"name": "OGW Branch of Geophysics",
"url": "https://www.usgs.gov/mission-areas/water-resources"
},
{
"@type": "Organization",
"name": "Utah Water Science Center",
"url": "https://www.usgs.gov/centers/utah-water-science-center"
},
{
"@type": "Organization",
"name": "Office of Ground Water",
"url": "https://www.usgs.gov/mission-areas/water-resources"
}
]
}
],
"funder": [
{
"@type": "Organization",
"name": "Leetown Science Center",
"url": "https://www.usgs.gov/centers/eesc"
}
]
},
"OpenAlex": {
"_id": "https://openalex.org/w3110785452",
"abstract_inverted_index": {
"Stream": [
0
],
"temperature": [
1,
19,
47,
63,
99,
141,
225
],
"data": [
2,
33,
68,
92,
133,
242,
268,
328,
358,
364
],
"are": [
3,
35
],
"useful": [
4
],
"for": [
5,
10,
22,
37,
44,
189,
310,
316,
380,
391
],
"deciphering": [
6
],
"watershed": [
7,
159
],
"processes": [
8,
160
],
"important": [
9
],
"aquatic": [
11
],
"ecosystems.": [
12
],
"Accurately": [
13
],
"extracting": [
14
],
"signal": [
15,
48,
64,
248
],
"trends": [
16
],
"from": [
17,
171,
175
],
"stream": [
18,
52,
372,
400
],
"is": [
20,
378
],
"essential": [
21
],
"predicting": [
23
],
"responses": [
24
],
"of": [
25,
61,
88,
96,
112,
122,
137,
165,
210,
219,
239,
245,
255,
262,
266,
288,
307,
325,
356,
362,
368,
370,
384,
399
],
"environmental": [
26
],
"and": [
27,
40,
54,
109,
128,
142,
149,
156,
163,
184,
193,
199,
285,
344,
395
],
"ecological": [
28,
55,
392
],
"indicators": [
29
],
"to": [
30,
50,
66,
125,
177,
181,
186,
215,
272,
386
],
"change.": [
31
],
"Missing": [
32
],
"periods": [
34
],
"common": [
36
],
"various": [
38
],
"reasons,": [
39
],
"pose": [
41
],
"a": [
42,
331
],
"challenge": [
43
],
"scientists": [
45
],
"using": [
46
],
"analysis": [
49
],
"support": [
51
],
"research": [
53
],
"management": [
56,
398
],
"objectives.": [
57
],
"However,": [
58,
292
],
"the": [
59,
75,
86,
94,
106,
113,
258,
277,
305,
366,
382
],
"sensitivity": [
60
],
"estimated": [
62,
204
],
"patterns": [
65
],
"missing": [
67,
90,
132,
221,
241,
267,
290,
327,
357
],
"has": [
69
],
"not": [
70
],
"been": [
71
],
"thoroughly": [
72
],
"evaluated,": [
73
],
"despite": [
74
],
"potentially": [
76
],
"large": [
77
],
"impact": [
78
],
"on": [
79,
93,
336
],
"interpretation.": [
80
],
"In": [
81
],
"this": [
82,
270,
299,
376
],
"study,": [
83
],
"we": [
84,
118
],
"explored": [
85
],
"effects": [
87,
335
],
"simulated": [
89
],
"daily": [
91,
138
],
"characterization": [
95
],
"annual": [
97,
135,
190,
197,
223,
247,
337,
371
],
"water": [
98,
140
],
"signals": [
100
],
"measured": [
101
],
"at": [
102
],
"headwater": [
103
],
"sites": [
104,
318,
348
],
"in": [
105,
280
],
"Pacific": [
107
],
"Northwest": [
108
],
"Mid-Atlantic": [
110
],
"regions": [
111
],
"USA.": [
114
],
"For": [
115,
301
],
"each": [
116
],
"site,": [
117
],
"used": [
119
],
"linear": [
120
],
"regressions": [
121
],
"sine-waves": [
123
],
"fitted": [
124
],
"complete": [
126,
172,
228
],
"(365-d)": [
127
],
"partial": [
129
],
"(7\u2013357": [
130
],
"consecutive": [
131,
326,
354
],
"points)": [
134
],
"datasets": [
136,
233
],
"mean": [
139,
224
],
"computed": [
143
],
"three": [
144
],
"thermal": [
145,
338,
373
],
"parameters": [
146,
249
],
"(mean,": [
147
],
"phase,": [
148,
192
],
"amplitude),": [
150
],
"which": [
151
],
"together": [
152
],
"can": [
153
],
"indicate": [
154
],
"thermally": [
155
],
"ecologically": [
157
],
"influential": [
158
],
"(e.g.,": [
161
],
"depth": [
162
],
"magnitude": [
164
],
"groundwater": [
166,
321
],
"discharge).": [
167
],
"Expected": [
168
],
"values": [
169
],
"(derived": [
170
],
"datasets)": [
173
],
"ranged": [
174
],
"7.0": [
176
],
"12.6": [
178
],
"\u00b0C,": [
179
],
"205": [
180
],
"254": [
182
],
"d,": [
183
],
"1.9": [
185
],
"9.5": [
187
],
"\u00b0C": [
188
],
"mean,": [
191
],
"amplitude,": [
194
],
"respectively.": [
195
],
"While": [
196
],
"phase": [
198
],
"amplitude": [
200
],
"could": [
201
],
"be": [
202,
295
],
"accurately": [
203
],
"(i.e.,": [
205
],
"within": [
206,
257,
330
],
"95\u201399%": [
207,
259
],
"confidence": [
208,
260
],
"intervals": [
209,
261
],
"expected": [
211,
263
],
"values)": [
212
],
"with": [
213,
234,
250,
276,
349
],
"up": [
214
],
"approximately": [
216,
273,
352
],
"two": [
217
],
"months": [
218
],
"consecutively": [
220,
240
],
"data,": [
222
],
"required": [
226
],
"more": [
227,
350
],
"datasets.": [
229
],
"We": [
230
],
"found": [
231
],
"that": [
232
],
"less": [
235
],
"than": [
236,
351
],
"seven": [
237,
353
],
"weeks": [
238,
287,
355,
361
],
"enabled": [
243
],
"estimation": [
244,
282,
309
],
"all": [
246
],
"reasonable": [
251
],
"accuracy": [
252,
306,
314
],
"(>75%": [
253
],
"probability": [
254,
367
],
"being": [
256
],
"values).": [
264
],
"Imputation": [
265
],
"expanded": [
269
],
"range": [
271
],
"20": [
274,
360
],
"weeks,": [
275
],
"greatest": [
278
],
"improvements": [
279
],
"parameter": [
281,
308,
339
],
"between": [
283
],
"9": [
284
],
"27": [
286
],
"imputed": [
289,
363
],
"data.": [
291
],
"caution": [
293
],
"should": [
294
],
"exercised": [
296
],
"when": [
297
],
"applying": [
298
],
"technique.": [
300
],
"example,": [
302
],
"imputation": [
303
],
"improved": [
304
],
"most": [
311
],
"sites,": [
312
],
"but": [
313
],
"decreased": [
315
],
"some": [
317
],
"exhibiting": [
319
],
"strong": [
320
],
"influence.": [
322
],
"The": [
323
],
"timing": [
324
],
"points": [
329
],
"year": [
332
],
"had": [
333
],
"inconsistent": [
334
],
"estimates": [
340
],
"among": [
341
],
"regions,": [
342
],
"years,": [
343
],
"individual": [
345
],
"parameters.": [
346
],
"Utilizing": [
347
],
"or": [
359
],
"increases": [
365
],
"mischaracterization": [
369
],
"regimes.": [
374
],
"Understanding": [
375
],
"limitation": [
377
],
"vital": [
379
],
"identifying": [
381
],
"potential": [
383
],
"streams": [
385
],
"serve": [
387
],
"as": [
388
],
"climate": [
389
],
"refugia": [
390
],
"indicator": [
393
],
"species": [
394
],
"effective": [
396
],
"future": [
397
],
"systems.": [
401
]
},
"apc_list": {
"value": 2500,
"currency": "USD",
"value_usd": 2500,
"provenance": "doaj"
},
"apc_paid": {
"value": 2500,
"currency": "USD",
"value_usd": 2500,
"provenance": "doaj"
},
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5032575734",
"display_name": "Zachary C. Johnson",
"orcid": "https://orcid.org/0000-0002-0149-5223"
},
"institutions": [
{
"id": "https://openalex.org/I201448701",
"display_name": "University of Washington",
"ror": "https://ror.org/00cvxb145",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I201448701"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Zachary C. Johnson",
"raw_affiliation_strings": [
"Civil and Environmental Engineering, University of Washington, 3760 E Stevens Way NE, Seattle, WA 98195, USA"
],
"affiliations": [
{
"raw_affiliation_string": "Civil and Environmental Engineering, University of Washington, 3760 E Stevens Way NE, Seattle, WA 98195, USA",
"institution_ids": [
"https://openalex.org/I201448701"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5020116706",
"display_name": "Brittany G. Johnson",
"orcid": "https://orcid.org/0000-0001-9176-7714"
},
"institutions": [
{
"id": "https://openalex.org/I201448701",
"display_name": "University of Washington",
"ror": "https://ror.org/00cvxb145",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I201448701"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Brittany G. Johnson",
"raw_affiliation_strings": [
"School of Environmental and Forest Sciences, University of Washington, 3715 W Stevens Way NE, Seattle, WA 98195, USA"
],
"affiliations": [
{
"raw_affiliation_string": "School of Environmental and Forest Sciences, University of Washington, 3715 W Stevens Way NE, Seattle, WA 98195, USA",
"institution_ids": [
"https://openalex.org/I201448701"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5072399206",
"display_name": "Martin A. Briggs",
"orcid": null
},
"institutions": [
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Martin A. Briggs",
"raw_affiliation_strings": [
"U.S. Geological Survey, Earth System Processes Division, Hydrogeophysics Branch, 11 Sherman Place, Unit 5015, Storrs, CT 06269, USA"
],
"affiliations": [
{
"raw_affiliation_string": "U.S. Geological Survey, Earth System Processes Division, Hydrogeophysics Branch, 11 Sherman Place, Unit 5015, Storrs, CT 06269, USA",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5058641029",
"display_name": "Craig D. Snyder",
"orcid": "https://orcid.org/0000-0002-3448-597X"
},
"institutions": [
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Craig D. Snyder",
"raw_affiliation_strings": [
"U.S. Geological Survey, Leetown Science Center, 11649 Leetown Road, Kearneysville, WV 25430, USA"
],
"affiliations": [
{
"raw_affiliation_string": "U.S. Geological Survey, Leetown Science Center, 11649 Leetown Road, Kearneysville, WV 25430, USA",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5078557395",
"display_name": "Nathaniel P. Hitt",
"orcid": "https://orcid.org/0000-0002-1046-4568"
},
"institutions": [
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Nathaniel P. Hitt",
"raw_affiliation_strings": [
"U.S. Geological Survey, Leetown Science Center, 11649 Leetown Road, Kearneysville, WV 25430, USA"
],
"affiliations": [
{
"raw_affiliation_string": "U.S. Geological Survey, Leetown Science Center, 11649 Leetown Road, Kearneysville, WV 25430, USA",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
},
{
"author_position": "last",
"author": {
"id": "https://openalex.org/A5045949801",
"display_name": "Warren D. Devine",
"orcid": "https://orcid.org/0000-0003-2520-0925"
},
"institutions": [
{
"id": "https://openalex.org/I1312422046",
"display_name": "Washington Department of Natural Resources",
"ror": "https://ror.org/01876xy81",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1312422046"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Warren D. Devine",
"raw_affiliation_strings": [
"Washington State, Department of Natural Resources, Forest Resources Division, 1111 Washington Street SE, Olympia, WA 98504, USA"
],
"affiliations": [
{
"raw_affiliation_string": "Washington State, Department of Natural Resources, Forest Resources Division, 1111 Washington Street SE, Olympia, WA 98504, USA",
"institution_ids": [
"https://openalex.org/I1312422046"
]
}
]
}
],
"best_oa_location": {
"is_oa": true,
"landing_page_url": "https://doi.org/10.1016/j.ecolind.2020.107229",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S194154261",
"display_name": "Ecological Indicators",
"issn_l": "1470-160X",
"issn": [
"1470-160X",
"1872-7034"
],
"is_oa": true,
"is_in_doaj": true,
"is_core": true,
"host_organization": "https://openalex.org/P4310320990",
"host_organization_name": "Elsevier BV",
"host_organization_lineage": [
"https://openalex.org/P4310320990"
],
"host_organization_lineage_names": [
"Elsevier BV"
],
"type": "journal"
},
"license": "cc-by-nc-nd",
"license_id": "https://openalex.org/licenses/cc-by-nc-nd",
"version": "publishedVersion",
"is_accepted": true,
"is_published": true
},
"biblio": {
"volume": "122",
"issue": null,
"first_page": "107229",
"last_page": "107229"
},
"citation_normalized_percentile": {
"value": 0.999857,
"is_in_top_1_percent": true,
"is_in_top_10_percent": true
},
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W3110785452",
"cited_by_count": 14,
"cited_by_percentile_year": {
"min": 91,
"max": 92
},
"concepts": [
{
"id": "https://openalex.org/C9357733",
"wikidata": "https://www.wikidata.org/wiki/Q6878417",
"display_name": "Missing data",
"level": 2,
"score": 0.7722913
},
{
"id": "https://openalex.org/C150547873",
"wikidata": "https://www.wikidata.org/wiki/Q947851",
"display_name": "Watershed",
"level": 2,
"score": 0.5904082
},
{
"id": "https://openalex.org/C39432304",
"wikidata": "https://www.wikidata.org/wiki/Q188847",
"display_name": "Environmental science",
"level": 0,
"score": 0.58963513
},
{
"id": "https://openalex.org/C180205008",
"wikidata": "https://www.wikidata.org/wiki/Q159190",
"display_name": "Amplitude",
"level": 2,
"score": 0.45220542
},
{
"id": "https://openalex.org/C76886044",
"wikidata": "https://www.wikidata.org/wiki/Q2883300",
"display_name": "Hydrology (agriculture)",
"level": 2,
"score": 0.3866022
},
{
"id": "https://openalex.org/C105795698",
"wikidata": "https://www.wikidata.org/wiki/Q12483",
"display_name": "Statistics",
"level": 1,
"score": 0.35461748
},
{
"id": "https://openalex.org/C41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 0.1732614
},
{
"id": "https://openalex.org/C33923547",
"wikidata": "https://www.wikidata.org/wiki/Q395",
"display_name": "Mathematics",
"level": 0,
"score": 0.16514361
},
{
"id": "https://openalex.org/C127313418",
"wikidata": "https://www.wikidata.org/wiki/Q1069",
"display_name": "Geology",
"level": 0,
"score": 0.14114472
},
{
"id": "https://openalex.org/C119857082",
"wikidata": "https://www.wikidata.org/wiki/Q2539",
"display_name": "Machine learning",
"level": 1,
"score": 0.081263036
},
{
"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/A5032575734"
],
"corresponding_institution_ids": [
"https://openalex.org/I201448701"
],
"countries_distinct_count": 1,
"counts_by_year": [
{
"year": 2024,
"cited_by_count": 3
},
{
"year": 2023,
"cited_by_count": 7
},
{
"year": 2022,
"cited_by_count": 2
},
{
"year": 2021,
"cited_by_count": 2
}
],
"created_date": "2020-12-21",
"datasets": [],
"display_name": "Heed the data gap: Guidelines for using incomplete datasets in annual stream temperature analyses",
"doi": "https://doi.org/10.1016/j.ecolind.2020.107229",
"fwci": 2.846,
"grants": [
{
"funder": "https://openalex.org/F4320306084",
"funder_display_name": "U.S. Department of Energy",
"award_id": null
}
],
"has_fulltext": false,
"id": "https://openalex.org/W3110785452",
"ids": {
"openalex": "https://openalex.org/W3110785452",
"doi": "https://doi.org/10.1016/j.ecolind.2020.107229",
"mag": "3110785452"
},
"indexed_in": [
"crossref",
"doaj"
],
"institutions_distinct_count": 3,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/watershed-simulation",
"display_name": "Watershed Simulation",
"score": 0.542025
},
{
"id": "https://openalex.org/keywords/environmental-flows",
"display_name": "Environmental Flows",
"score": 0.50046
}
],
"language": "en",
"locations": [
{
"is_oa": true,
"landing_page_url": "https://doi.org/10.1016/j.ecolind.2020.107229",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S194154261",
"display_name": "Ecological Indicators",
"issn_l": "1470-160X",
"issn": [
"1470-160X",
"1872-7034"
],
"is_oa": true,
"is_in_doaj": true,
"is_core": true,
"host_organization": "https://openalex.org/P4310320990",
"host_organization_name": "Elsevier BV",
"host_organization_lineage": [
"https://openalex.org/P4310320990"
],
"host_organization_lineage_names": [
"Elsevier BV"
],
"type": "journal"
},
"license": "cc-by-nc-nd",
"license_id": "https://openalex.org/licenses/cc-by-nc-nd",
"version": "publishedVersion",
"is_accepted": true,
"is_published": true
},
{
"is_oa": false,
"landing_page_url": "https://www.osti.gov/biblio/1760088",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S4306402487",
"display_name": "OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)",
"issn_l": null,
"issn": null,
"is_oa": true,
"is_in_doaj": false,
"is_core": false,
"host_organization": "https://openalex.org/I139351228",
"host_organization_name": "Office of Scientific and Technical Information",
"host_organization_lineage": [
"https://openalex.org/I139351228"
],
"host_organization_lineage_names": [
"Office of Scientific and Technical Information"
],
"type": "repository"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
},
{
"is_oa": false,
"landing_page_url": "https://doaj.org/article/69bc4abd5abb43c4b285e289779494d5",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S4306401280",
"display_name": "DOAJ (DOAJ: Directory of Open Access Journals)",
"issn_l": null,
"issn": null,
"is_oa": true,
"is_in_doaj": false,
"is_core": false,
"host_organization": null,
"host_organization_name": null,
"host_organization_lineage": [],
"host_organization_lineage_names": [],
"type": "repository"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
}
],
"locations_count": 3,
"mesh": [],
"ngrams_url": "https://api.openalex.org/works/W3110785452/ngrams",
"open_access": {
"is_oa": true,
"oa_status": "gold",
"oa_url": "https://doi.org/10.1016/j.ecolind.2020.107229",
"any_repository_has_fulltext": false
},
"primary_location": {
"is_oa": true,
"landing_page_url": "https://doi.org/10.1016/j.ecolind.2020.107229",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S194154261",
"display_name": "Ecological Indicators",
"issn_l": "1470-160X",
"issn": [
"1470-160X",
"1872-7034"
],
"is_oa": true,
"is_in_doaj": true,
"is_core": true,
"host_organization": "https://openalex.org/P4310320990",
"host_organization_name": "Elsevier BV",
"host_organization_lineage": [
"https://openalex.org/P4310320990"
],
"host_organization_lineage_names": [
"Elsevier BV"
],
"type": "journal"
},
"license": "cc-by-nc-nd",
"license_id": "https://openalex.org/licenses/cc-by-nc-nd",
"version": "publishedVersion",
"is_accepted": true,
"is_published": true
},
"primary_topic": {
"id": "https://openalex.org/T10302",
"display_name": "Importance and Conservation of Freshwater Biodiversity",
"score": 0.9997,
"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": "2021-03-01",
"publication_year": 2021,
"referenced_works": [
"https://openalex.org/W156071849",
"https://openalex.org/W1945027702",
"https://openalex.org/W1981559306",
"https://openalex.org/W1985589257",
"https://openalex.org/W1994154616",
"https://openalex.org/W2003719033",
"https://openalex.org/W2026003362",
"https://openalex.org/W2054579025",
"https://openalex.org/W2075845155",
"https://openalex.org/W2077623913",
"https://openalex.org/W2078127323",
"https://openalex.org/W2097196347",
"https://openalex.org/W2106393245",
"https://openalex.org/W2138102892",
"https://openalex.org/W2146904562",
"https://openalex.org/W2158627225",
"https://openalex.org/W2163157900",
"https://openalex.org/W2165220380",
"https://openalex.org/W2166904078",
"https://openalex.org/W2168313526",
"https://openalex.org/W2185746548",
"https://openalex.org/W2193606319",
"https://openalex.org/W2254418134",
"https://openalex.org/W2286992943",
"https://openalex.org/W2297164673",
"https://openalex.org/W2410902782",
"https://openalex.org/W2528290323",
"https://openalex.org/W2548002304",
"https://openalex.org/W2594350240",
"https://openalex.org/W2618112362",
"https://openalex.org/W2721615524",
"https://openalex.org/W2750741734",
"https://openalex.org/W2752027495",
"https://openalex.org/W2766706927",
"https://openalex.org/W2774461878",
"https://openalex.org/W2791924868",
"https://openalex.org/W2802602448",
"https://openalex.org/W2808755620",
"https://openalex.org/W2902452406",
"https://openalex.org/W2905268483",
"https://openalex.org/W2915224961",
"https://openalex.org/W2969230696",
"https://openalex.org/W3015515412",
"https://openalex.org/W3033799829",
"https://openalex.org/W3037257637",
"https://openalex.org/W4246451860",
"https://openalex.org/W4248645495"
],
"referenced_works_count": 47,
"related_works": [
"https://openalex.org/W46140484",
"https://openalex.org/W4380150146",
"https://openalex.org/W4289597203",
"https://openalex.org/W4283773154",
"https://openalex.org/W3139174110",
"https://openalex.org/W3024870410",
"https://openalex.org/W2493062119",
"https://openalex.org/W2410652950",
"https://openalex.org/W2382634454",
"https://openalex.org/W1974344527"
],
"sustainable_development_goals": [
{
"id": "https://metadata.un.org/sdg/15",
"score": 0.58,
"display_name": "Life on land"
}
],
"title": "Heed the data gap: Guidelines for using incomplete datasets in annual stream temperature analyses",
"topics": [
{
"id": "https://openalex.org/T10302",
"display_name": "Importance and Conservation of Freshwater Biodiversity",
"score": 0.9997,
"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/T10330",
"display_name": "Hydrological Modeling and Water Resource Management",
"score": 0.9994,
"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"
}
},
{
"id": "https://openalex.org/T10577",
"display_name": "Ecological Dynamics of Riverine Landscapes",
"score": 0.9967,
"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"
}
}
],
"type": "article",
"type_crossref": "journal-article",
"updated_date": "2024-08-10T23:40:41.856149",
"versions": []
}
}