Item talk:Q238875
From geokb
{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "Pyrogenic carbon distribution in mineral topsoils of the northeastern United States",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70184214",
"url": "https://pubs.usgs.gov/publication/70184214"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70184214
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.geoderma.2017.02.022",
"url": "https://doi.org/10.1016/j.geoderma.2017.02.022"
}
],
"journal": {
"@type": "Periodical",
"name": "Geoderma",
"volumeNumber": "296",
"issueNumber": null
},
"inLanguage": "en",
"isPartOf": [
{
"@type": "CreativeWorkSeries",
"name": "Geoderma"
}
],
"datePublished": "2017",
"dateModified": "2017-03-03",
"abstract": "Due to its slow turnover rates in soil, pyrogenic carbon (PyC) is considered an important C pool and relevant to climate change processes. Therefore, the amounts of soil PyC were compared to environmental covariates over an area of 327,757\u00a0km2 in the northeastern United States in order to understand the controls on PyC distribution over large areas. Topsoil (defined as the soil A horizon, after removal of any organic horizons) samples were collected at 165 field sites in a generalised random tessellation stratified design that corresponded to approximately 1 site per 1600\u00a0km2 and PyC was estimated from diffuse reflectance mid-infrared spectroscopy measurements using a partial least-squares regression analysis in conjunction with a large database of PyC measurements based on a solid-state 13C nuclear magnetic resonance spectroscopy technique. Three spatial models were applied to the data in order to relate critical environmental covariates to the changes in spatial density of PyC over the landscape. Regional mean density estimates of PyC were 11.0\u00a0g\u00a0kg\u2212\u00a01 (0.84\u00a0Gg\u00a0km\u2212\u00a02) for Ordinary Kriging, 25.8\u00a0g\u00a0kg\u2212\u00a01(12.2\u00a0Gg\u00a0km\u2212\u00a02) for Multivariate Linear Regression, and 26.1\u00a0g\u00a0kg\u2212\u00a01 (12.4\u00a0Gg\u00a0km\u2212\u00a02) for Bayesian Regression Kriging. Akaike Information Criterion (AIC) indicated that the Multivariate Linear Regression model performed best (AIC\u00a0=\u00a0842.6; n\u00a0=\u00a0165) compared to Ordinary Kriging (AIC\u00a0=\u00a0982.4) and Bayesian Regression Kriging (AIC\u00a0=\u00a0979.2). Soil PyC concentrations correlated well with total soil sulphur (P\u00a0<\u00a00.001; n\u00a0=\u00a0165), plant tissue lignin (P\u00a0=\u00a00.003), and drainage class (P\u00a0=\u00a00.008). This suggests the opportunity of including related environmental parameters in the spatial assessment of PyC in soils. Better estimates of the contribution of PyC to the global carbon cycle will thus also require more accurate assessments of these covariates.",
"description": "10 p.",
"publisher": {
"@type": "Organization",
"name": "Elsevier"
},
"author": [
{
"@type": "Person",
"name": "Smith, David B. dsmith@usgs.gov",
"givenName": "David B.",
"familyName": "Smith",
"email": "dsmith@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0001-8396-9105",
"url": "https://orcid.org/0000-0001-8396-9105"
},
"affiliation": [
{
"@type": "Organization",
"name": "Central Mineral and Environmental Resources Science Center",
"url": "https://www.usgs.gov/centers/gggsc"
},
{
"@type": "Organization",
"name": "Crustal Geophysics and Geochemistry Science Center",
"url": "https://www.usgs.gov/centers/geology-energy-and-minerals-science-center"
}
]
},
{
"@type": "Person",
"name": "Jauss, Verena",
"givenName": "Verena",
"familyName": "Jauss"
},
{
"@type": "Person",
"name": "Sullivan, Patrick J.",
"givenName": "Patrick J.",
"familyName": "Sullivan"
},
{
"@type": "Person",
"name": "Sanderman, Jonathan",
"givenName": "Jonathan",
"familyName": "Sanderman"
},
{
"@type": "Person",
"name": "Lehmann, Johannes",
"givenName": "Johannes",
"familyName": "Lehmann"
}
],
"funder": [
{
"@type": "Organization",
"name": "Central Mineral and Environmental Resources Science Center",
"url": "https://www.usgs.gov/centers/gggsc"
}
],
"spatialCoverage": [
{
"@type": "Place",
"additionalType": "country",
"name": "United States",
"url": "https://geonames.org/4074035"
}
]
},
"OpenAlex": {
"abstract_inverted_index": {
"Due": [
0
],
"to": [
1,
19,
31,
47,
86,
133,
138,
143,
217,
281
],
"its": [
2
],
"slow": [
3
],
"turnover": [
4
],
"rates": [
5
],
"in": [
6,
40,
45,
77,
109,
136,
146,
266,
272
],
"soil,": [
7
],
"pyrogenic": [
8
],
"carbon": [
9,
284
],
"(PyC)": [
10
],
"is": [
11
],
"considered": [
12
],
"an": [
13,
35
],
"important": [
14
],
"C": [
15
],
"pool": [
16
],
"and": [
17,
93,
184,
223,
251
],
"relevant": [
18
],
"climate": [
20
],
"change": [
21
],
"processes.": [
22
],
"Therefore,": [
23
],
"the": [
24,
41,
49,
60,
134,
144,
152,
203,
259,
267,
277,
282
],
"amounts": [
25
],
"of": [
26,
37,
66,
115,
149,
158,
261,
270,
276,
279,
293
],
"soil": [
27,
61,
237
],
"PyC": [
28,
52,
94,
116,
150,
159,
231,
271,
280
],
"were": [
29,
71,
131,
160
],
"compared": [
30,
216
],
"environmental": [
32,
141,
264
],
"covariates": [
33,
142
],
"over": [
34,
54,
151
],
"area": [
36
],
"327,757": [
38
],
"km2": [
39,
92
],
"northeastern": [
42
],
"United": [
43
],
"States": [
44
],
"order": [
46,
137
],
"understand": [
48
],
"controls": [
50
],
"on": [
51,
119
],
"distribution": [
53
],
"large": [
55,
113
],
"areas.": [
56
],
"Topsoil": [
57
],
"(defined": [
58
],
"as": [
59
],
"A": [
62
],
"horizon,": [
63
],
"after": [
64
],
"removal": [
65
],
"any": [
67
],
"organic": [
68
],
"horizons)": [
69
],
"samples": [
70
],
"collected": [
72
],
"at": [
73
],
"165": [
74
],
"field": [
75
],
"sites": [
76
],
"a": [
78,
104,
112,
120
],
"generalised": [
79
],
"random": [
80
],
"tessellation": [
81
],
"stratified": [
82
],
"design": [
83
],
"that": [
84,
202
],
"corresponded": [
85
],
"approximately": [
87
],
"1": [
88,
164,
175,
188
],
"site": [
89
],
"per": [
90
],
"1600": [
91
],
"was": [
95
],
"estimated": [
96
],
"from": [
97
],
"diffuse": [
98
],
"reflectance": [
99
],
"mid-infrared": [
100
],
"spectroscopy": [
101,
126
],
"measurements": [
102,
117
],
"using": [
103
],
"partial": [
105
],
"least-squares": [
106
],
"regression": [
107
],
"analysis": [
108
],
"conjunction": [
110
],
"with": [
111,
235
],
"database": [
114
],
"based": [
118
],
"solid-state": [
121
],
"13C": [
122
],
"nuclear": [
123
],
"magnetic": [
124
],
"resonance": [
125
],
"technique.": [
127
],
"Three": [
128
],
"spatial": [
129,
147,
268
],
"models": [
130
],
"applied": [
132
],
"data": [
135
],
"relate": [
139
],
"critical": [
140
],
"changes": [
145
],
"density": [
148,
156
],
"landscape.": [
153
],
"Regional": [
154
],
"mean": [
155
],
"estimates": [
157,
275
],
"11.0": [
161
],
"g": [
162,
173,
186
],
"kg\u2212": [
163,
174,
187
],
"(0.84": [
165
],
"Gg": [
166,
177,
190
],
"km\u2212": [
167,
178,
191
],
"2)": [
168,
179,
192
],
"for": [
169,
180,
193
],
"Ordinary": [
170,
218
],
"Kriging,": [
171
],
"25.8": [
172
],
"(12.2": [
176
],
"Multivariate": [
181,
204
],
"Linear": [
182,
205
],
"Regression,": [
183
],
"26.1": [
185
],
"(12.4": [
189
],
"Bayesian": [
194,
224
],
"Regression": [
195,
206,
225
],
"Kriging.": [
196
],
"Akaike": [
197
],
"Information": [
198
],
"Criterion": [
199
],
"(AIC)": [
200
],
"indicated": [
201
],
"model": [
207
],
"performed": [
208
],
"best": [
209
],
"(AIC": [
210,
220,
227
],
"=": [
211,
214,
221,
228,
243,
249,
255
],
"842.6;": [
212
],
"n": [
213,
242
],
"165)": [
215
],
"Kriging": [
219,
226
],
"982.4)": [
222
],
"979.2).": [
229
],
"Soil": [
230
],
"concentrations": [
232
],
"correlated": [
233
],
"well": [
234
],
"total": [
236
],
"sulphur": [
238
],
"(P": [
239,
248,
254
],
"<": [
240
],
"0.001;": [
241
],
"165),": [
244
],
"plant": [
245
],
"tissue": [
246
],
"lignin": [
247
],
"0.003),": [
250
],
"drainage": [
252
],
"class": [
253
],
"0.008).": [
256
],
"This": [
257
],
"suggests": [
258
],
"opportunity": [
260
],
"including": [
262
],
"related": [
263
],
"parameters": [
265
],
"assessment": [
269
],
"soils.": [
273
],
"Better": [
274
],
"contribution": [
278
],
"global": [
283
],
"cycle": [
285
],
"will": [
286
],
"thus": [
287
],
"also": [
288
],
"require": [
289
],
"more": [
290
],
"accurate": [
291
],
"assessments": [
292
],
"these": [
294
],
"covariates.": [
295
]
},
"apc_list": {
"value": 2800,
"currency": "USD",
"value_usd": 2800,
"provenance": "doaj"
},
"apc_paid": null,
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5058482274",
"display_name": "Verena Jauss",
"orcid": "https://orcid.org/0000-0002-3289-8033"
},
"institutions": [
{
"id": "https://openalex.org/I205783295",
"display_name": "Cornell University",
"ror": "https://ror.org/05bnh6r87",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I205783295"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Verena Jauss",
"raw_affiliation_strings": [
"Soil and Crop Sciences, Cornell University, Ithaca, NY 14853, USA"
],
"affiliations": [
{
"raw_affiliation_string": "Soil and Crop Sciences, Cornell University, Ithaca, NY 14853, USA",
"institution_ids": [
"https://openalex.org/I205783295"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5021144112",
"display_name": "Patrick J. Sullivan",
"orcid": "https://orcid.org/0000-0001-8407-1495"
},
"institutions": [
{
"id": "https://openalex.org/I4210135981",
"display_name": "Louisiana Department of Natural Resources",
"ror": "https://ror.org/03n7hja66",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I4210135981"
]
},
{
"id": "https://openalex.org/I205783295",
"display_name": "Cornell University",
"ror": "https://ror.org/05bnh6r87",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I205783295"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Patrick J. Sullivan",
"raw_affiliation_strings": [
"Department of Natural Resources, Cornell University, Ithaca, NY 14853, USA"
],
"affiliations": [
{
"raw_affiliation_string": "Department of Natural Resources, Cornell University, Ithaca, NY 14853, USA",
"institution_ids": [
"https://openalex.org/I4210135981",
"https://openalex.org/I205783295"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5022853382",
"display_name": "Jonathan Sanderman",
"orcid": "https://orcid.org/0000-0002-3215-1706"
},
"institutions": [
{
"id": "https://openalex.org/I4210161554",
"display_name": "CSIRO Land and Water",
"ror": "https://ror.org/057xz1h85",
"country_code": "AU",
"type": "facility",
"lineage": [
"https://openalex.org/I1292875679",
"https://openalex.org/I2801453606",
"https://openalex.org/I4210161554",
"https://openalex.org/I4387156119"
]
}
],
"countries": [
"AU"
],
"is_corresponding": false,
"raw_author_name": "Jonathan Sanderman",
"raw_affiliation_strings": [
"CSIRO Land and Water, Glen Osmond, Australia"
],
"affiliations": [
{
"raw_affiliation_string": "CSIRO Land and Water, Glen Osmond, Australia",
"institution_ids": [
"https://openalex.org/I4210161554"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5080168198",
"display_name": "David B. Smith",
"orcid": "https://orcid.org/0000-0001-8396-9105"
},
"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": "David B. Smith",
"raw_affiliation_strings": [
"U.S. Geological Survey, Denver, CO 80225, USA"
],
"affiliations": [
{
"raw_affiliation_string": "U.S. Geological Survey, Denver, CO 80225, USA",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
},
{
"author_position": "last",
"author": {
"id": "https://openalex.org/A5042699954",
"display_name": "Johannes Lehmann",
"orcid": "https://orcid.org/0000-0002-4701-2936"
},
"institutions": [
{
"id": "https://openalex.org/I205783295",
"display_name": "Cornell University",
"ror": "https://ror.org/05bnh6r87",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I205783295"
]
},
{
"id": "https://openalex.org/I1287097855",
"display_name": "Atkins (United States)",
"ror": "https://ror.org/05df6vn84",
"country_code": "US",
"type": "company",
"lineage": [
"https://openalex.org/I1287097855",
"https://openalex.org/I4210094877"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Johannes Lehmann",
"raw_affiliation_strings": [
"Atkinson Center for a Sustainable Future, Cornell University, Ithaca, NY 14853, USA",
"Soil and Crop Sciences, Cornell University, Ithaca, NY 14853, USA"
],
"affiliations": [
{
"raw_affiliation_string": "Soil and Crop Sciences, Cornell University, Ithaca, NY 14853, USA",
"institution_ids": []
},
{
"raw_affiliation_string": "Atkinson Center for a Sustainable Future, Cornell University, Ithaca, NY 14853, USA",
"institution_ids": [
"https://openalex.org/I205783295",
"https://openalex.org/I1287097855"
]
}
]
}
],
"best_oa_location": {
"is_oa": true,
"landing_page_url": "https://doi.org/10.1016/j.geoderma.2017.02.022",
"pdf_url": "https://www.sciencedirect.com/science/article/am/pii/S0016706116304074",
"source": {
"id": "https://openalex.org/S201473135",
"display_name": "Geoderma",
"issn_l": "0016-7061",
"issn": [
"0016-7061",
"1872-6259"
],
"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": "publisher-specific-oa",
"license_id": "https://openalex.org/licenses/publisher-specific-oa",
"version": "acceptedVersion",
"is_accepted": true,
"is_published": false
},
"biblio": {
"volume": "296",
"issue": null,
"first_page": "69",
"last_page": "78"
},
"citation_normalized_percentile": {
"value": 0.628381,
"is_in_top_1_percent": false,
"is_in_top_10_percent": false
},
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2592962938",
"cited_by_count": 10,
"cited_by_percentile_year": {
"min": 86,
"max": 87
},
"concepts": [
{
"id": "https://openalex.org/C81692654",
"wikidata": "https://www.wikidata.org/wiki/Q225926",
"display_name": "Kriging",
"level": 2,
"score": 0.7076573
},
{
"id": "https://openalex.org/C20529654",
"wikidata": "https://www.wikidata.org/wiki/Q1247456",
"display_name": "Topsoil",
"level": 3,
"score": 0.5626004
},
{
"id": "https://openalex.org/C22354355",
"wikidata": "https://www.wikidata.org/wiki/Q422009",
"display_name": "Partial least squares regression",
"level": 2,
"score": 0.543028
},
{
"id": "https://openalex.org/C159390177",
"wikidata": "https://www.wikidata.org/wiki/Q9161265",
"display_name": "Soil science",
"level": 1,
"score": 0.53135616
},
{
"id": "https://openalex.org/C126674687",
"wikidata": "https://www.wikidata.org/wiki/Q1662573",
"display_name": "Akaike information criterion",
"level": 2,
"score": 0.51735586
},
{
"id": "https://openalex.org/C39464130",
"wikidata": "https://www.wikidata.org/wiki/Q7554898",
"display_name": "Soil carbon",
"level": 3,
"score": 0.5150435
},
{
"id": "https://openalex.org/C39432304",
"wikidata": "https://www.wikidata.org/wiki/Q188847",
"display_name": "Environmental science",
"level": 0,
"score": 0.5074839
},
{
"id": "https://openalex.org/C161584116",
"wikidata": "https://www.wikidata.org/wiki/Q1952580",
"display_name": "Multivariate statistics",
"level": 2,
"score": 0.46388322
},
{
"id": "https://openalex.org/C64946054",
"wikidata": "https://www.wikidata.org/wiki/Q4874476",
"display_name": "Bayesian multivariate linear regression",
"level": 3,
"score": 0.4580956
},
{
"id": "https://openalex.org/C48921125",
"wikidata": "https://www.wikidata.org/wiki/Q10861030",
"display_name": "Linear regression",
"level": 2,
"score": 0.4490269
},
{
"id": "https://openalex.org/C125572338",
"wikidata": "https://www.wikidata.org/wiki/Q1440020",
"display_name": "Geostatistics",
"level": 3,
"score": 0.4317227
},
{
"id": "https://openalex.org/C154881674",
"wikidata": "https://www.wikidata.org/wiki/Q2269270",
"display_name": "Variogram",
"level": 3,
"score": 0.41323665
},
{
"id": "https://openalex.org/C94747663",
"wikidata": "https://www.wikidata.org/wiki/Q7574086",
"display_name": "Spatial variability",
"level": 2,
"score": 0.35704544
},
{
"id": "https://openalex.org/C33923547",
"wikidata": "https://www.wikidata.org/wiki/Q395",
"display_name": "Mathematics",
"level": 0,
"score": 0.3552614
},
{
"id": "https://openalex.org/C76886044",
"wikidata": "https://www.wikidata.org/wiki/Q2883300",
"display_name": "Hydrology (agriculture)",
"level": 2,
"score": 0.3387461
},
{
"id": "https://openalex.org/C159750122",
"wikidata": "https://www.wikidata.org/wiki/Q96621023",
"display_name": "Soil water",
"level": 2,
"score": 0.31230366
},
{
"id": "https://openalex.org/C105795698",
"wikidata": "https://www.wikidata.org/wiki/Q12483",
"display_name": "Statistics",
"level": 1,
"score": 0.26925302
},
{
"id": "https://openalex.org/C127313418",
"wikidata": "https://www.wikidata.org/wiki/Q1069",
"display_name": "Geology",
"level": 0,
"score": 0.24421549
},
{
"id": "https://openalex.org/C187320778",
"wikidata": "https://www.wikidata.org/wiki/Q1349130",
"display_name": "Geotechnical engineering",
"level": 1,
"score": 0.0
}
],
"corresponding_author_ids": [
"https://openalex.org/A5042699954"
],
"corresponding_institution_ids": [
"https://openalex.org/I205783295",
"https://openalex.org/I1287097855"
],
"countries_distinct_count": 2,
"counts_by_year": [
{
"year": 2024,
"cited_by_count": 1
},
{
"year": 2020,
"cited_by_count": 6
},
{
"year": 2018,
"cited_by_count": 1
},
{
"year": 2017,
"cited_by_count": 2
}
],
"created_date": "2017-03-16",
"datasets": [],
"display_name": "Pyrogenic carbon distribution in mineral topsoils of the northeastern United States",
"doi": "https://doi.org/10.1016/j.geoderma.2017.02.022",
"fulltext_origin": "ngrams",
"fwci": 0.977,
"grants": [
{
"funder": "https://openalex.org/F4320306101",
"funder_display_name": "National Aeronautics and Space Administration",
"award_id": null
},
{
"funder": "https://openalex.org/F4320306114",
"funder_display_name": "U.S. Department of Agriculture",
"award_id": "2008-35615-18961"
},
{
"funder": "https://openalex.org/F4320309624",
"funder_display_name": "Cornell University",
"award_id": null
}
],
"has_fulltext": true,
"id": "https://openalex.org/W2592962938",
"ids": {
"openalex": "https://openalex.org/W2592962938",
"doi": "https://doi.org/10.1016/j.geoderma.2017.02.022",
"mag": "2592962938"
},
"indexed_in": [
"crossref"
],
"institutions_distinct_count": 5,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/topsoil",
"display_name": "Topsoil",
"score": 0.5626004
},
{
"id": "https://openalex.org/keywords/akaike-information-criterion",
"display_name": "Akaike information criterion",
"score": 0.51735586
},
{
"id": "https://openalex.org/keywords/soil-carbon",
"display_name": "Soil carbon",
"score": 0.5150435
},
{
"id": "https://openalex.org/keywords/terrain-analysis",
"display_name": "Terrain Analysis",
"score": 0.492525
},
{
"id": "https://openalex.org/keywords/geostatistics",
"display_name": "Geostatistics",
"score": 0.4317227
},
{
"id": "https://openalex.org/keywords/variogram",
"display_name": "Variogram",
"score": 0.41323665
}
],
"language": "en",
"locations": [
{
"is_oa": true,
"landing_page_url": "https://doi.org/10.1016/j.geoderma.2017.02.022",
"pdf_url": "https://www.sciencedirect.com/science/article/am/pii/S0016706116304074",
"source": {
"id": "https://openalex.org/S201473135",
"display_name": "Geoderma",
"issn_l": "0016-7061",
"issn": [
"0016-7061",
"1872-6259"
],
"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": "publisher-specific-oa",
"license_id": "https://openalex.org/licenses/publisher-specific-oa",
"version": "acceptedVersion",
"is_accepted": true,
"is_published": false
}
],
"locations_count": 1,
"mesh": [],
"ngrams_url": "https://api.openalex.org/works/W2592962938/ngrams",
"open_access": {
"is_oa": true,
"oa_status": "bronze",
"oa_url": "https://www.sciencedirect.com/science/article/am/pii/S0016706116304074",
"any_repository_has_fulltext": false
},
"primary_location": {
"is_oa": true,
"landing_page_url": "https://doi.org/10.1016/j.geoderma.2017.02.022",
"pdf_url": "https://www.sciencedirect.com/science/article/am/pii/S0016706116304074",
"source": {
"id": "https://openalex.org/S201473135",
"display_name": "Geoderma",
"issn_l": "0016-7061",
"issn": [
"0016-7061",
"1872-6259"
],
"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": "publisher-specific-oa",
"license_id": "https://openalex.org/licenses/publisher-specific-oa",
"version": "acceptedVersion",
"is_accepted": true,
"is_published": false
},
"primary_topic": {
"id": "https://openalex.org/T10770",
"display_name": "Digital Soil Mapping Techniques",
"score": 0.9959,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
"publication_date": "2017-06-01",
"publication_year": 2017,
"referenced_works": [
"https://openalex.org/W103717088",
"https://openalex.org/W1466567620",
"https://openalex.org/W1533569143",
"https://openalex.org/W1536497620",
"https://openalex.org/W1552665904",
"https://openalex.org/W1553980953",
"https://openalex.org/W1581146127",
"https://openalex.org/W1589262433",
"https://openalex.org/W1598502789",
"https://openalex.org/W1601198516",
"https://openalex.org/W1644402576",
"https://openalex.org/W1669033071",
"https://openalex.org/W1670565333",
"https://openalex.org/W167496829",
"https://openalex.org/W1900093162",
"https://openalex.org/W1943630578",
"https://openalex.org/W1949462709",
"https://openalex.org/W1964972598",
"https://openalex.org/W1965223803",
"https://openalex.org/W1965835612",
"https://openalex.org/W1968661986",
"https://openalex.org/W1970421972",
"https://openalex.org/W1970967507",
"https://openalex.org/W1972260204",
"https://openalex.org/W1973874914",
"https://openalex.org/W1975883133",
"https://openalex.org/W1978265846",
"https://openalex.org/W2001510609",
"https://openalex.org/W2001511595",
"https://openalex.org/W2002239606",
"https://openalex.org/W2008962657",
"https://openalex.org/W2012600972",
"https://openalex.org/W2024050834",
"https://openalex.org/W2024177929",
"https://openalex.org/W2026279406",
"https://openalex.org/W2035582858",
"https://openalex.org/W2039897626",
"https://openalex.org/W2039972428",
"https://openalex.org/W2040103673",
"https://openalex.org/W204128722",
"https://openalex.org/W2045656233",
"https://openalex.org/W2047102900",
"https://openalex.org/W2047811710",
"https://openalex.org/W2051532236",
"https://openalex.org/W2054325787",
"https://openalex.org/W2057426759",
"https://openalex.org/W2058815839",
"https://openalex.org/W2059148395",
"https://openalex.org/W2071453721",
"https://openalex.org/W2075673711",
"https://openalex.org/W2080439372",
"https://openalex.org/W2083857556",
"https://openalex.org/W2090599609",
"https://openalex.org/W2091822561",
"https://openalex.org/W2094084179",
"https://openalex.org/W2096943193",
"https://openalex.org/W2104232463",
"https://openalex.org/W2109598255",
"https://openalex.org/W2109631166",
"https://openalex.org/W2119395826",
"https://openalex.org/W2130717833",
"https://openalex.org/W2132484323",
"https://openalex.org/W2134795287",
"https://openalex.org/W2134927874",
"https://openalex.org/W2136822681",
"https://openalex.org/W2137336591",
"https://openalex.org/W2151328940",
"https://openalex.org/W2152765830",
"https://openalex.org/W2155544089",
"https://openalex.org/W2155725298",
"https://openalex.org/W2156759847",
"https://openalex.org/W2159388868",
"https://openalex.org/W2160712116",
"https://openalex.org/W2163842868",
"https://openalex.org/W2165011617",
"https://openalex.org/W2237118555",
"https://openalex.org/W2280072065",
"https://openalex.org/W2310560887",
"https://openalex.org/W2323181228",
"https://openalex.org/W2325646149",
"https://openalex.org/W2406466376",
"https://openalex.org/W2518474444",
"https://openalex.org/W2582743722",
"https://openalex.org/W2622977192",
"https://openalex.org/W2650367466",
"https://openalex.org/W2759758707",
"https://openalex.org/W2804133171",
"https://openalex.org/W2896604450",
"https://openalex.org/W2945001165",
"https://openalex.org/W2992341289",
"https://openalex.org/W3020204246",
"https://openalex.org/W3122349793",
"https://openalex.org/W4236030488",
"https://openalex.org/W4237926734",
"https://openalex.org/W4242212085",
"https://openalex.org/W657991705",
"https://openalex.org/W68436435",
"https://openalex.org/W81369936",
"https://openalex.org/W858308380"
],
"referenced_works_count": 99,
"related_works": [
"https://openalex.org/W4255440089",
"https://openalex.org/W4210344345",
"https://openalex.org/W3194898490",
"https://openalex.org/W2546930921",
"https://openalex.org/W2492260685",
"https://openalex.org/W2379513494",
"https://openalex.org/W2365452842",
"https://openalex.org/W2356808522",
"https://openalex.org/W2354548383",
"https://openalex.org/W2014059759"
],
"sustainable_development_goals": [
{
"id": "https://metadata.un.org/sdg/15",
"display_name": "Life on land",
"score": 0.55
}
],
"title": "Pyrogenic carbon distribution in mineral topsoils of the northeastern United States",
"topics": [
{
"id": "https://openalex.org/T10770",
"display_name": "Digital Soil Mapping Techniques",
"score": 0.9959,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"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/T12157",
"display_name": "Machine Learning for Mineral Prospectivity Mapping",
"score": 0.9916,
"subfield": {
"id": "https://openalex.org/subfields/1702",
"display_name": "Artificial Intelligence"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11588",
"display_name": "Global Methane Emissions and Impacts",
"score": 0.9915,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"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": "2024-08-10T07:56:52.825130",
"versions": []
}
}
