Insights into Subsurface Stormflow Dynamics using multitracer approaches Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-egu24-5045
Subsurface stromflow (SSF) is an important runoff generation mechanism in hillslope catchments. However, since the process occurs below ground, it is difficult to observe and measure. So far, the dynamics and thresholds of SSF occurrence remain elusive.To gain insights into the mechanisms and to determine SSF quantities and their dynamics, we installed three SSF trenches in a first-order catchment in the Black Forest, Germany. We selected hillslopes with different landuse and topography and excavated slope-perpendicular trenches to bedrock (approx. 15 m wide, 2.5 m deep). The trenches are split by soil depth to collect subsurface flow from a top and from a bottom layer. The flow is channeled to tipping buckets for measuring discharge, and autosamplers for semi-continuous water sampling. The water samples are then used to measure multi tracers like stable water isotopes, dissolved organic carbon as well as major anions and cations.In November and December 2023, the catchment experienced three extreme, multi-day rainfall events. The generated subsurface discharge showed distinct differences in volume among the trenches (up to 100% of upslope-area-corrected flow volume). Most flow (70-90%) occurred in the lower trench sections. Top layer flow was only activated during peak discharge in the bottom layer. Using the multitracer approach, we can gain first insights into the dynamics of the different natural tracers and relate them to the observed subsurface flow variations, possible flow pathways and transit times. Ultimately, we aim to compare these findings to data from three other trenched research catchments to gain a more general understanding of the underlying subsurface stormflow generation mechanisms.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-egu24-5045
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392585084
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4392585084Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/egusphere-egu24-5045Digital Object Identifier
- Title
-
Insights into Subsurface Stormflow Dynamics using multitracer approachesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-08Full publication date if available
- Authors
-
Jonas Pyschik, Alexey Kuleshov, Christina Fasching, Peter Chifflard, Theresa Blume, Luisa Hopp, Markus WeilerList of authors in order
- Landing page
-
https://doi.org/10.5194/egusphere-egu24-5045Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5194/egusphere-egu24-5045Direct OA link when available
- Concepts
-
Environmental science, Computer science, Earth science, GeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4392585084 |
|---|---|
| doi | https://doi.org/10.5194/egusphere-egu24-5045 |
| ids.doi | https://doi.org/10.5194/egusphere-egu24-5045 |
| ids.openalex | https://openalex.org/W4392585084 |
| fwci | 0.0 |
| type | preprint |
| title | Insights into Subsurface Stormflow Dynamics using multitracer approaches |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10330 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9157999753952026 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2312 |
| topics[0].subfield.display_name | Water Science and Technology |
| topics[0].display_name | Hydrology and Watershed Management Studies |
| topics[1].id | https://openalex.org/T10930 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9045000076293945 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2306 |
| topics[1].subfield.display_name | Global and Planetary Change |
| topics[1].display_name | Flood Risk Assessment and Management |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C39432304 |
| concepts[0].level | 0 |
| concepts[0].score | 0.3802621364593506 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[0].display_name | Environmental science |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.37939882278442383 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C1965285 |
| concepts[2].level | 1 |
| concepts[2].score | 0.3590816259384155 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q8008 |
| concepts[2].display_name | Earth science |
| concepts[3].id | https://openalex.org/C127313418 |
| concepts[3].level | 0 |
| concepts[3].score | 0.2534421682357788 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[3].display_name | Geology |
| keywords[0].id | https://openalex.org/keywords/environmental-science |
| keywords[0].score | 0.3802621364593506 |
| keywords[0].display_name | Environmental science |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.37939882278442383 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/earth-science |
| keywords[2].score | 0.3590816259384155 |
| keywords[2].display_name | Earth science |
| keywords[3].id | https://openalex.org/keywords/geology |
| keywords[3].score | 0.2534421682357788 |
| keywords[3].display_name | Geology |
| language | en |
| locations[0].id | doi:10.5194/egusphere-egu24-5045 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.5194/egusphere-egu24-5045 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5004524758 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3034-2338 |
| authorships[0].author.display_name | Jonas Pyschik |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Jonas Pyschik |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5050528010 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5779-2147 |
| authorships[1].author.display_name | Alexey Kuleshov |
| authorships[1].countries | DE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I54009628 |
| authorships[1].affiliations[0].raw_affiliation_string | University of Bayreuth, Bayreuth, Germany |
| authorships[1].institutions[0].id | https://openalex.org/I54009628 |
| authorships[1].institutions[0].ror | https://ror.org/0234wmv40 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I54009628 |
| authorships[1].institutions[0].country_code | DE |
| authorships[1].institutions[0].display_name | University of Bayreuth |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Alexey Kuleshov |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | University of Bayreuth, Bayreuth, Germany |
| authorships[2].author.id | https://openalex.org/A5023008685 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Christina Fasching |
| authorships[2].countries | DE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I161103922 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Marburg, Department of Geography, Marburg, Germany |
| authorships[2].institutions[0].id | https://openalex.org/I161103922 |
| authorships[2].institutions[0].ror | https://ror.org/01rdrb571 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I161103922 |
| authorships[2].institutions[0].country_code | DE |
| authorships[2].institutions[0].display_name | Philipps University of Marburg |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Christina Fasching |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Marburg, Department of Geography, Marburg, Germany |
| authorships[3].author.id | https://openalex.org/A5026101231 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-5325-3819 |
| authorships[3].author.display_name | Peter Chifflard |
| authorships[3].countries | DE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I161103922 |
| authorships[3].affiliations[0].raw_affiliation_string | University of Marburg, Department of Geography, Marburg, Germany |
| authorships[3].institutions[0].id | https://openalex.org/I161103922 |
| authorships[3].institutions[0].ror | https://ror.org/01rdrb571 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I161103922 |
| authorships[3].institutions[0].country_code | DE |
| authorships[3].institutions[0].display_name | Philipps University of Marburg |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Peter Chifflard |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | University of Marburg, Department of Geography, Marburg, Germany |
| authorships[4].author.id | https://openalex.org/A5005378101 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-3754-7571 |
| authorships[4].author.display_name | Theresa Blume |
| authorships[4].countries | DE |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210152878 |
| authorships[4].affiliations[0].raw_affiliation_string | German Research Centre for Geosciences (GFZ), Potsdam, Germany |
| authorships[4].institutions[0].id | https://openalex.org/I4210152878 |
| authorships[4].institutions[0].ror | https://ror.org/04z8jg394 |
| authorships[4].institutions[0].type | facility |
| authorships[4].institutions[0].lineage | https://openalex.org/I1305996414, https://openalex.org/I4210152878 |
| authorships[4].institutions[0].country_code | DE |
| authorships[4].institutions[0].display_name | GFZ Helmholtz Centre for Geosciences |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Theresa Blume |
| authorships[4].is_corresponding | True |
| authorships[4].raw_affiliation_strings | German Research Centre for Geosciences (GFZ), Potsdam, Germany |
| authorships[5].author.id | https://openalex.org/A5091199904 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-1354-8193 |
| authorships[5].author.display_name | Luisa Hopp |
| authorships[5].countries | DE |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I54009628 |
| authorships[5].affiliations[0].raw_affiliation_string | University of Bayreuth, Bayreuth, Germany |
| authorships[5].institutions[0].id | https://openalex.org/I54009628 |
| authorships[5].institutions[0].ror | https://ror.org/0234wmv40 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I54009628 |
| authorships[5].institutions[0].country_code | DE |
| authorships[5].institutions[0].display_name | University of Bayreuth |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Luisa Hopp |
| authorships[5].is_corresponding | True |
| authorships[5].raw_affiliation_strings | University of Bayreuth, Bayreuth, Germany |
| authorships[6].author.id | https://openalex.org/A5067442586 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-6245-6917 |
| authorships[6].author.display_name | Markus Weiler |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Markus Weiler |
| authorships[6].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5194/egusphere-egu24-5045 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Insights into Subsurface Stormflow Dynamics using multitracer approaches |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10330 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9157999753952026 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2312 |
| primary_topic.subfield.display_name | Water Science and Technology |
| primary_topic.display_name | Hydrology and Watershed Management Studies |
| related_works | https://openalex.org/W4387497383, https://openalex.org/W3183948672, https://openalex.org/W3173606202, https://openalex.org/W3110381201, https://openalex.org/W2948807893, https://openalex.org/W2935909890, https://openalex.org/W2778153218, https://openalex.org/W2758277628, https://openalex.org/W2748952813, https://openalex.org/W1531601525 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.5194/egusphere-egu24-5045 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.5194/egusphere-egu24-5045 |
| primary_location.id | doi:10.5194/egusphere-egu24-5045 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.5194/egusphere-egu24-5045 |
| publication_date | 2024-03-08 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 56, 97, 101, 246 |
| abstract_inverted_index.m | 80, 83 |
| abstract_inverted_index.15 | 79 |
| abstract_inverted_index.So | 26 |
| abstract_inverted_index.We | 64 |
| abstract_inverted_index.an | 4 |
| abstract_inverted_index.as | 137, 139 |
| abstract_inverted_index.by | 89 |
| abstract_inverted_index.in | 9, 55, 59, 163, 179, 193 |
| abstract_inverted_index.is | 3, 20, 106 |
| abstract_inverted_index.it | 19 |
| abstract_inverted_index.of | 32, 171, 209, 250 |
| abstract_inverted_index.to | 22, 43, 76, 92, 108, 126, 169, 217, 232, 236, 244 |
| abstract_inverted_index.we | 50, 201, 230 |
| abstract_inverted_index.(up | 168 |
| abstract_inverted_index.2.5 | 82 |
| abstract_inverted_index.SSF | 33, 45, 53 |
| abstract_inverted_index.The | 85, 104, 120, 156 |
| abstract_inverted_index.Top | 184 |
| abstract_inverted_index.aim | 231 |
| abstract_inverted_index.and | 24, 30, 42, 47, 70, 72, 99, 114, 142, 145, 214, 226 |
| abstract_inverted_index.are | 87, 123 |
| abstract_inverted_index.can | 202 |
| abstract_inverted_index.for | 111, 116 |
| abstract_inverted_index.the | 14, 28, 40, 60, 148, 166, 180, 194, 198, 207, 210, 218, 251 |
| abstract_inverted_index.top | 98 |
| abstract_inverted_index.was | 187 |
| abstract_inverted_index.100% | 170 |
| abstract_inverted_index.Most | 175 |
| abstract_inverted_index.data | 237 |
| abstract_inverted_index.far, | 27 |
| abstract_inverted_index.flow | 95, 105, 173, 176, 186, 221, 224 |
| abstract_inverted_index.from | 96, 100, 238 |
| abstract_inverted_index.gain | 37, 203, 245 |
| abstract_inverted_index.into | 39, 206 |
| abstract_inverted_index.like | 130 |
| abstract_inverted_index.more | 247 |
| abstract_inverted_index.only | 188 |
| abstract_inverted_index.peak | 191 |
| abstract_inverted_index.soil | 90 |
| abstract_inverted_index.them | 216 |
| abstract_inverted_index.then | 124 |
| abstract_inverted_index.used | 125 |
| abstract_inverted_index.well | 138 |
| abstract_inverted_index.with | 67 |
| abstract_inverted_index.(SSF) | 2 |
| abstract_inverted_index.2023, | 147 |
| abstract_inverted_index.Black | 61 |
| abstract_inverted_index.Using | 197 |
| abstract_inverted_index.among | 165 |
| abstract_inverted_index.below | 17 |
| abstract_inverted_index.depth | 91 |
| abstract_inverted_index.first | 204 |
| abstract_inverted_index.layer | 185 |
| abstract_inverted_index.lower | 181 |
| abstract_inverted_index.major | 140 |
| abstract_inverted_index.multi | 128 |
| abstract_inverted_index.other | 240 |
| abstract_inverted_index.since | 13 |
| abstract_inverted_index.split | 88 |
| abstract_inverted_index.their | 48 |
| abstract_inverted_index.these | 234 |
| abstract_inverted_index.three | 52, 151, 239 |
| abstract_inverted_index.water | 118, 121, 132 |
| abstract_inverted_index.wide, | 81 |
| abstract_inverted_index.anions | 141 |
| abstract_inverted_index.bottom | 102, 195 |
| abstract_inverted_index.carbon | 136 |
| abstract_inverted_index.deep). | 84 |
| abstract_inverted_index.during | 190 |
| abstract_inverted_index.layer. | 103, 196 |
| abstract_inverted_index.occurs | 16 |
| abstract_inverted_index.relate | 215 |
| abstract_inverted_index.remain | 35 |
| abstract_inverted_index.runoff | 6 |
| abstract_inverted_index.showed | 160 |
| abstract_inverted_index.stable | 131 |
| abstract_inverted_index.times. | 228 |
| abstract_inverted_index.trench | 182 |
| abstract_inverted_index.volume | 164 |
| abstract_inverted_index.Forest, | 62 |
| abstract_inverted_index.bedrock | 77 |
| abstract_inverted_index.buckets | 110 |
| abstract_inverted_index.collect | 93 |
| abstract_inverted_index.compare | 233 |
| abstract_inverted_index.events. | 155 |
| abstract_inverted_index.general | 248 |
| abstract_inverted_index.ground, | 18 |
| abstract_inverted_index.landuse | 69 |
| abstract_inverted_index.measure | 127 |
| abstract_inverted_index.natural | 212 |
| abstract_inverted_index.observe | 23 |
| abstract_inverted_index.organic | 135 |
| abstract_inverted_index.process | 15 |
| abstract_inverted_index.samples | 122 |
| abstract_inverted_index.tipping | 109 |
| abstract_inverted_index.tracers | 129, 213 |
| abstract_inverted_index.transit | 227 |
| abstract_inverted_index.(70-90%) | 177 |
| abstract_inverted_index.(approx. | 78 |
| abstract_inverted_index.December | 146 |
| abstract_inverted_index.Germany. | 63 |
| abstract_inverted_index.However, | 12 |
| abstract_inverted_index.November | 144 |
| abstract_inverted_index.distinct | 161 |
| abstract_inverted_index.dynamics | 29, 208 |
| abstract_inverted_index.extreme, | 152 |
| abstract_inverted_index.findings | 235 |
| abstract_inverted_index.insights | 38, 205 |
| abstract_inverted_index.measure. | 25 |
| abstract_inverted_index.observed | 219 |
| abstract_inverted_index.occurred | 178 |
| abstract_inverted_index.pathways | 225 |
| abstract_inverted_index.possible | 223 |
| abstract_inverted_index.rainfall | 154 |
| abstract_inverted_index.research | 242 |
| abstract_inverted_index.selected | 65 |
| abstract_inverted_index.trenched | 241 |
| abstract_inverted_index.trenches | 54, 75, 86, 167 |
| abstract_inverted_index.volume). | 174 |
| abstract_inverted_index.activated | 189 |
| abstract_inverted_index.approach, | 200 |
| abstract_inverted_index.catchment | 58, 149 |
| abstract_inverted_index.channeled | 107 |
| abstract_inverted_index.determine | 44 |
| abstract_inverted_index.different | 68, 211 |
| abstract_inverted_index.difficult | 21 |
| abstract_inverted_index.discharge | 159, 192 |
| abstract_inverted_index.dissolved | 134 |
| abstract_inverted_index.dynamics, | 49 |
| abstract_inverted_index.excavated | 73 |
| abstract_inverted_index.generated | 157 |
| abstract_inverted_index.hillslope | 10 |
| abstract_inverted_index.important | 5 |
| abstract_inverted_index.installed | 51 |
| abstract_inverted_index.isotopes, | 133 |
| abstract_inverted_index.measuring | 112 |
| abstract_inverted_index.mechanism | 8 |
| abstract_inverted_index.multi-day | 153 |
| abstract_inverted_index.sampling. | 119 |
| abstract_inverted_index.sections. | 183 |
| abstract_inverted_index.stormflow | 254 |
| abstract_inverted_index.stromflow | 1 |
| abstract_inverted_index.Subsurface | 0 |
| abstract_inverted_index.catchments | 243 |
| abstract_inverted_index.cations.In | 143 |
| abstract_inverted_index.discharge, | 113 |
| abstract_inverted_index.elusive.To | 36 |
| abstract_inverted_index.generation | 7, 255 |
| abstract_inverted_index.hillslopes | 66 |
| abstract_inverted_index.mechanisms | 41 |
| abstract_inverted_index.occurrence | 34 |
| abstract_inverted_index.quantities | 46 |
| abstract_inverted_index.subsurface | 94, 158, 220, 253 |
| abstract_inverted_index.thresholds | 31 |
| abstract_inverted_index.topography | 71 |
| abstract_inverted_index.underlying | 252 |
| abstract_inverted_index.Ultimately, | 229 |
| abstract_inverted_index.catchments. | 11 |
| abstract_inverted_index.differences | 162 |
| abstract_inverted_index.experienced | 150 |
| abstract_inverted_index.first-order | 57 |
| abstract_inverted_index.mechanisms. | 256 |
| abstract_inverted_index.multitracer | 199 |
| abstract_inverted_index.variations, | 222 |
| abstract_inverted_index.autosamplers | 115 |
| abstract_inverted_index.understanding | 249 |
| abstract_inverted_index.semi-continuous | 117 |
| abstract_inverted_index.slope-perpendicular | 74 |
| abstract_inverted_index.upslope-area-corrected | 172 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5005378101, https://openalex.org/A5050528010, https://openalex.org/A5026101231, https://openalex.org/A5091199904 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I161103922, https://openalex.org/I4210152878, https://openalex.org/I54009628 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.44999998807907104 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.03092428 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |