cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.acdqwp
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Angola",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acilepis, Adenoon, Aedesia, Ageratinastrum, Ambassa, Ananthura, Baccharoides, Bechium, Bothriocline, Brachythrix, Brenandendron, Cabobanthus, Camchaya, Centauropsis, Centrapalus, Crystallopollen, Cyanthillium, Decaneuropsis, Decastylocarpus, Dewildemania, Diaphractanthus, Elephantopus, Erlangea, Ethulia, Gossweilera, Gutenbergia, Gymnanthemum, Herderia, Hesperomannia, Hilliardiella, Hoffmannanthus, Hystrichophora, Iodocephalopsis, Jeffreycia, Khasianthus, Kinghamia, Koyamasia, Kurziella, Lampropappus, Lettowia, Linzia, Manyonia, Monosis, Msuata, Muschleria, Myanmaria, Namibithamnus, Neurolakis, Nothovernonia, Okia, Oliganthes, Omphalopappus, Oocephala, Orbivestus, Parapolydora, Paurolepis, Phyllocephalum, Pleurocarpaea, Pseudopegolettia, Pulicarioidea, Rastrophyllum, Strobocalyx, Tarlmounia, Uniyala, Vernonia, Vernonia, Vernonella, Vernoniastrum)"
 ]
}

 The dataset includes 366 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003584-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xn744
title: Occurrence Download

description: A dataset containing 793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eumicrotremus orbis",
 "Year 1900-2026"
 ]
}

 The dataset includes 793 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003586-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18328891
title: Configuration files, sequence alignments and scripts associated with the IQTREE and MrBayes phylogenetic analyses with Eniochobothriidae (Eucestoda: Lecanicephalidea)

description: This dataset contains all input alignments, configuration files, scripts, and resulting trees used to perform the phylogenetic analyses described in the manuscript "A new species of Amiculucestus (Eucestoda: Lecanicephalidea: Eniochobothriidae) from the cownose ray, Rhinoptera bonasus (Myliobatiformes: Rhinopteridae) in the Western Atlantic". Analyses were conducted using IQ-TREE (Nguyen et al. 2015) for maximum-likelihood inference and MrBayes (Ronquist & Huelsenbeck 2003) for Bayesian inference.

 

.
DOI: 10.15468/dl.mxd425
title: Occurrence Download

description: A dataset containing 10971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Xeno-canto - Bird sounds from around the world, Observation.org, Nature data from around the World, MVZ Bird Collection (Arctos), LSUMZ Birds Collection, Macaulay Library Audio and Video Collection, NABU|naturgucker, AMNH Bird Collection, UWBM Ornithology Collection)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pyrrhura molinae",
 "Year 2000-2026"
 ]
}

 The dataset includes 10971 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003585-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/7615
title: cadet-datasets
DOI: 10.57967/hf/7614
title: cadet-datasets
DOI: 10.15468/dl.kwvqjy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.22 5.93414, 102.149362 5.928569, 102.080467 5.911994, 102.015015 5.884824, 101.954622 5.847729, 101.900775 5.801625, 101.854801 5.747649, 101.817832 5.687131, 101.790775 5.621564, 101.774295 5.552564, 101.768792 5.48183, 101.7744 5.411104, 101.790975 5.342127, 101.818107 5.276597, 101.855124 5.216126, 101.901114 5.162201, 101.954945 5.116149, 102.01529 5.079101, 102.080666 5.051967, 102.149467 5.035416, 102.22 5.029853, 102.290533 5.035416, 102.359334 5.051967, 102.42471 5.079101, 102.485055 5.116149, 102.538886 5.162201, 102.584876 5.216126, 102.621893 5.276597, 102.649025 5.342127, 102.6656 5.411104, 102.671208 5.48183, 102.665705 5.552564, 102.649225 5.621564, 102.622168 5.687131, 102.585199 5.747649, 102.539225 5.801625, 102.485378 5.847729, 102.424985 5.884824, 102.359533 5.911994, 102.290638 5.928569, 102.22 5.93414))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003587-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.px8jyk
title: Occurrence Download

description: A dataset containing 539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pygathrix nemaeus"
 ]
}

 The dataset includes 539 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003588-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.294feg
title: Occurrence Download

description: A dataset containing 3435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopendra heros",
 "Year 1976-2026"
 ]
}

 The dataset includes 3435 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003589-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfj22s
title: Occurrence Download

description: A dataset containing 10848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plethodon montanus",
 "Year 1899-2026"
 ]
}

 The dataset includes 10848 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003590-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5nc8j
title: Occurrence Download

description: A dataset containing 164604 records in GBIF matching the query:
SELECT "month","year",speciesKey,countrycode,gbifid
 ,decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) as coordinateUncertaintyInMeters
 
 
 FROM occurrence WHERE GBIF_Within('POLYGON ((4.795532 50.675576, 4.795532 51.455718, 3.510132 51.455718, 3.510132 50.675576, 4.795532 50.675576))', decimalLatitude, decimalLongitude) = TRUE
 AND "month" IS NOT NULL AND "year" IS NOT NULL 
 AND hasCoordinate = TRUE AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') 
 AND taxonKey IN (1311477,5334357) 
 AND occurrenceStatus IN ('PRESENT', 'UNKNOWN') 

 The dataset's 164604 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003563-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cap623
title: Occurrence Download

description: A dataset containing 8029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acinonyx jubatus",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 8029 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003591-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxgdwy
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia galloana"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003592-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16874822
title: Dataset of Annual Shoreline Positions of England and Wales (1999–2020)

description: This dataset contains annual shoreline positions for England and Wales covering the period from 1999 to 2020. The entire coastline has been divided into 276 Regions of Interest (ROIs). For each ROI, coastline positions are provided in both tabular and GeoJSON formats.

Coastlines were extracted for each ROI, but validation was performed only for sandy beaches. The dataset includes coastlines for all ROIs, covering both sandy and other types of beaches. The dataset includes the following components:

1. ROI ClassificationA file containing the classification of each ROI as either a sandy beach or another type of coastline.

2. TransectsA directory containing all transects for each ROI, used in the coastline extraction process for tidal correction. These files are provided in GeoJSON format and can be directly imported into mapping platforms.

3. Coastline PositionA directory containing coastline position data in two formats:





GeoJSON: Coastline positions for each ROI in GeoJSON format, ready for direct import into mapping platforms.




Table: Coastline positions stored as latitude and longitude coordinates for each ROI. The data is presented in tabular form, with transects as columns and dates as rows.



4. CoastSat_code_with_modification.pyThis file contains the original CoastSat code, which has been modified to generate shoreline position outputs in the desired formats, including tabular coordinate data and GeoJSON files.

5. Tide_data_conversionThis file documents the procedure used to convert tide data from a geoid-based vertical reference to MSL.

 

The article describing the data extraction is available as a preprint at:10.21203/rs.3.rs-7410724/v1
DOI: 10.5281/zenodo.18331873
title: Dataset of Annual Shoreline Positions of England and Wales (1999–2020)

description: This dataset contains annual shoreline positions for England and Wales covering the period from 1999 to 2020. The entire coastline has been divided into 276 Regions of Interest (ROIs). For each ROI, coastline positions are provided in both tabular and GeoJSON formats.

Coastlines were extracted for each ROI, but validation was performed only for sandy beaches. The dataset includes coastlines for all ROIs, covering both sandy and other types of beaches. The dataset includes the following components:

1. ROI ClassificationA file containing the classification of each ROI as either a sandy beach or another type of coastline.

2. TransectsA directory containing all transects for each ROI, used in the coastline extraction process for tidal correction. These files are provided in GeoJSON format and can be directly imported into mapping platforms.

3. Coastline PositionA directory containing coastline position data in two formats:





GeoJSON: Coastline positions for each ROI in GeoJSON format, ready for direct import into mapping platforms.




Table: Coastline positions stored as latitude and longitude coordinates for each ROI. The data is presented in tabular form, with transects as columns and dates as rows.



4. CoastSat_code_with_modification.pyThis file contains the original CoastSat code, which has been modified to generate shoreline position outputs in the desired formats, including tabular coordinate data and GeoJSON files.

5. Tide_data_conversionThis file documents the procedure used to convert tide data from a geoid-based vertical reference to MSL.

 

The article describing the data extraction is available as a preprint at:10.21203/rs.3.rs-7410724/v1
DOI: 10.15468/dl.fy65c9
title: Occurrence Download

description: A dataset containing 9648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hibiscus rosa-sinensis"
 ]
}

 The dataset includes 9648 records from 544 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003593-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24431/rw1k9h8
title: Cormorant Oceanography Project Collaboration with Point Blue: Biologging Data from Brandt's Cormorants (Urile penicillatus), Farallon Islands, 2021

description: Oceanographic sampling of the coastal ocean is often sparse in space and time and in situ observations are needed to understand the complex physical processes in this zone. 

This dataset was collected by Point Blue Conservation Science and shared with the Cormorant Oceanography Project (https://www.osudashcams.com/). 

The Cormorant Oceanography Project is an interdisciplinary collaboration between oceanographers and seabird ecologists based at Oregon State University, and is in partnership with collaborators globally. We are advancing biologging tag technologies for use with cormorant species to measure in situ oceanographic conditions. This also offers a unique opportunity to study the distribution and behaviors of cormorants relative to environmental conditions along their daily foraging paths. 

Our biologging tags include combinations of fast-response sensors to measure water temperature, conductivity, and pressure. Each tag contains an inertial measurement unit (IMU) to monitor acceleration and orientation. A GPS unit, triggered when a bird surfaces, provides locations for georeferencing measurements. The sensors collect large volumes of data that are transmitted and retrieved using two-way cellular communications. 

This dataset consists of GPS tracks and dive profiles from Brandt's Cormorants, tagged on the Farallon Islands during the 2021 breeding season. Cormorants were fitted with GPS-GSM tags, six tags were integrated with temperature, depth and IMU sensors and one with integrated with temperature, depth, salinity and IMU sensors. Birds were tracked throughout the breeding period and post-breeding migration.
DOI: 10.6084/m9.figshare.30397894.v3
title: <b>Summary of findings: thymosin-</b><b>ɑ</b><b>1 for people with chronic hepatitis B _not included for GRADE in protocol</b>

description: <b>Summary of Findings</b><br>
DOI: 10.6084/m9.figshare.30607994
title: Contrasting geochemical fingerprints of back-arc basins: In-situ evidence from the Sulu Sea and Celebes Sea basalts

description: The Southeast Asian subduction system, shaped by the convergence of multiple tectonic plates, hosts a series of Cenozoic marginal basins that have evolved through an intricate combination of geodynamic processes. The nature of the mantle sources of volcanism underlying these basins remains a subject of debate. Here, to clarify the characteristics of these mantle sources, we present in-situ major, trace element, and Sr isotopic data for clinopyroxene and plagioclase derived from volcanic rocks of the Sulu Sea and the Celebes Sea. Despite the fact that both basins occupy back-arc tectonic settings, they differ markedly in the extent of contributions from subduction-related fluids and sediments. Sulu Sea volcanism, primarily influenced by back-arc extension and intra-arc rifting, shows geochemical signatures indicative of fluid release from altered oceanic crust (AOC-fluid) associated with stagnant slabs in the mantle transition zone. In contrast, Celebes Sea volcanism records a stronger slab input, with contamination by recycled oceanic crust that underwent plagioclase fractionation. Integrated seismic tomography and in-situ mineral geochemistry collectively affirm the distinction between the mantle source features and evolution pathways of the Sulu Sea vs. Celebes Sea back-arc basin volcanism.
DOI: 10.6084/m9.figshare.30607994.v1
title: Contrasting geochemical fingerprints of back-arc basins: In-situ evidence from the Sulu Sea and Celebes Sea basalts

description: The Southeast Asian subduction system, shaped by the convergence of multiple tectonic plates, hosts a series of Cenozoic marginal basins that have evolved through an intricate combination of geodynamic processes. The nature of the mantle sources of volcanism underlying these basins remains a subject of debate. Here, to clarify the characteristics of these mantle sources, we present in-situ major, trace element, and Sr isotopic data for clinopyroxene and plagioclase derived from volcanic rocks of the Sulu Sea and the Celebes Sea. Despite the fact that both basins occupy back-arc tectonic settings, they differ markedly in the extent of contributions from subduction-related fluids and sediments. Sulu Sea volcanism, primarily influenced by back-arc extension and intra-arc rifting, shows geochemical signatures indicative of fluid release from altered oceanic crust (AOC-fluid) associated with stagnant slabs in the mantle transition zone. In contrast, Celebes Sea volcanism records a stronger slab input, with contamination by recycled oceanic crust that underwent plagioclase fractionation. Integrated seismic tomography and in-situ mineral geochemistry collectively affirm the distinction between the mantle source features and evolution pathways of the Sulu Sea vs. Celebes Sea back-arc basin volcanism.
DOI: 10.34740/kaggle/dsv/13715401
title: Color Recognition Dataset (1500+ Samples) 🎨
DOI: 10.15468/dl.eb5e2t
title: Occurrence Download

description: A dataset containing 370 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rudbeckia mohrii"
 ]
}

 The dataset includes 370 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030315-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.seugsr
title: Occurrence Download

description: A dataset containing 734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.31759 -65.12599,-86.81498 -73.23941,-82.96367 -81.09608,-52.82077 -84.48523,-17.18334 -65.17734,-22.06167 -57.52608,-34.02639 -52.54506,-51.76657 -58.03959,-66.09343 -58.8612,-80.31759 -65.12599))",
 "OccurrenceStatus is Present",
 "TaxonKey is Collembola"
 ]
}

 The dataset includes 734 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002217-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30397894.v4
title: <b>Summary of findings: thymosin-</b><b>ɑ</b><b>1 for people with chronic hepatitis B _not included for GRADE in protocol</b>

description: <b>Summary of Findings</b><br>
DOI: 10.15468/dl.j3j93j
title: Occurrence Download

description: A dataset containing 155264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((79 26, 81 26, 81 27, 79 27, 79 26))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 155264 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030275-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm7a44
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((137.26174 36.11256,100.32523 43.21571,90.6649 35.82844,90.6649 11.96176,120.78228 6.56342,137.26174 36.11256))",
 "TaxonKey is Celtis julianae"
 ]
}

 The dataset includes 348 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030316-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30607592
title: <b>МЭДҮҮЛЭГ ЯАГААД ГОЛ НОТЛОХ БАРИМТ БИШ ВЭ?</b><b>Б.СОДНОМДАРЖАА, Т.ЧИМГЭЭ, Ц.АМГАЛАНБААТАР НАРТ ХОЛБОГДУУЛАН ШАЛГАСАН ХЭРЭГТ ХИЙСЭН ДҮН ШИНЖИЛГЭЭ</b>

description: Олон улсад болон Монгол Улсад шүүхийн шийдвэрээр ял оноосон ч тухайн ял хүчингүйд тооцох, хожим цагаатгасан тохиолдол цөөнгүй гардаг. Ийм алдааны гол шалтгаан нь гэрч, хохирогч, хэрэгт холбогдогчдын мэдүүлэгт хэт найдаж, хүний хуурмаг ой санамжийг нотлох баримт болгон буруу үнэлсэнтэй шууд холбоотой юм. АНУ-ын "Innocence Project"-ийн судалгаагаар хилсээр ял шийтгэгдсэн хүмүүсийн 70 гаруй хувь нь буруу мэдүүлгээс шалтгаалсан болох нь тогтоогдсон бөгөөд энэ нь хүний ой санамж шинэ мэдээлэлтэй хольцолдож гажууддаг, бодит бус санамж үүсгэдэг сэтгэл зүйн механизмыг нотолж байна. Хүний ой санамж нь туйлын эмзэг бөгөөд цаг хугацаа, сэтгэл хөдлөл, гаднын нөлөөллөөс хамааран тасралтгүй өөрчлөгдөж, гажуудалд өртдөг танин мэдэхүйн процесс юм. Олон улсын шүүхийн практикт мэдүүлгийн найдвартай байдлыг баталгаажуулахын тулд шинжлэх ухааны үндэслэлтэй үнэлгээний арга зүйг нэвтрүүлэхийг чухалчилдаг болсон. Иймд АНУ болон бусад улс оронд гэрчийн мэдүүлгийг дангаар нь хангалттай нотолгоо гэж үздэггүй. Монгол Улсын хуульд ч гэрчийн мэдүүлгийг дангаар нь нотлох баримт гэж үзэхийг хориглосон боловч шүүхийн практикт уг зарчим тогтвортой мөрдөгдөж чадаагүй байгааг анхаарах шаардлагатай. Гэрчийн мэдүүлгийн найдвартай байдлыг үл тоомсорлосноор гэм буруугүй хүмүүс яллагдах, жинхэнэ гэмт хэрэгтнүүд ял завших, шүүхийн алдаатай шийдвэр гарах тохиолдол байсаар байна. Үүнээс гадна гэрчийн мэдүүлэг нь мөрдөн байцаалтын ажиллагааг хаашаа чиглүүлэх, гэрч, хохирогч, хэрэгт холбогдогчдыг тодорхойлох зэрэг шүүх ажиллагааны явцад шууд нөлөө үзүүлдэг. Энэхүү өгүүлэлд бид С.Зориг агсны амь насыг хөнөөсөн хэрэгт холбогдон ял шийтгэгдсэн Ц.Амгаланбаатар, Б.Содномдаржаа, Т.Чимгээ нар болон бусад холбогдох гэрчүүдийн мэдүүлгийг сэтгэл судлалын онолын үүднээс шинжилж, хуурмаг ой санамж, албадлагын нөлөө, танин мэдэхүйн гажуудал зэрэг хүчин зүйлсийн улмаас эдгээр мэдүүлэг яагаад яллах тогтоолын үндэслэл болж чадахгүйг нотлохыг зорих болно. Мөн шүүхийн практикт ажиллаж буй албан хаагчид, хүний эрхийн хамгаалагчид, сэтгэл судлалын мэргэжилтнүүд, сэтгүүлчид болон ой санамжтай шууд харьцдаг бусад салбарын мэргэжилтнүүдэд хуурмаг дурсамжийн нөлөөг танин мэдэж, мэдрэмжтэй ажиллах шаардлагыг онцолж өгнө. Ийм мэдлэг нь зөвхөн танин мэдэхүйн ач холбогдолтой бус, хууль сахиулах ажиллагааг зөв хэрэгжүүлэх, хилс хэрэгт татагдах эрсдэлийг бууруулах практик үр дүнд хүргэнэ.<br>