cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xa9kga
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis ferdinandi-coburgii Kellerer & Sünd."
 ]
}

 The dataset includes 46 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157435-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.487cjr
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lethops connectens Hubbs, 1926"
 ]
}

 The dataset includes 61 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057278-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkacjg
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physaria arizonica (S.Watson) O'Kane & Al-Shehbaz"
 ]
}

 The dataset includes 308 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151843-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrsb7j
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micropleurotoma melvilli (Sykes, 1906)"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092086-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4p3xbm
title: Occurrence Download

description: A dataset containing 469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pomacentrus nigromanus Weber, 1913"
 ]
}

 The dataset includes 469 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057293-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9a6ez
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cylicodiscus gabunensis Harms"
 ]
}

 The dataset includes 310 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112721-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jqnjg
title: Occurrence Download

description: A dataset containing 823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-85.6659044000000023 42.9201583999999983, -85.6659044000000023 42.9218970000000013, -85.6659044000000023 42.9243600100000009, -85.6659044000000023 42.9276923199999985, -85.6659044000000023 42.9305899800000006, -85.6659044000000023 42.9327632199999982, -85.6659044000000023 42.9346467000000018, -85.6620067199999937 42.9346467000000018, -85.6583982599999985 42.9346467000000018, -85.6546454700000055 42.9346467000000018, -85.6506040000000013 42.9346467000000018, -85.6481497000000047 42.9346467000000018, -85.6481497000000047 42.9330529900000002, -85.6481497000000047 42.9305899800000006, -85.6481497000000047 42.9281269600000002, -85.6481497000000047 42.9243600100000009, -85.6481497000000047 42.9221867600000024, -85.6481497000000047 42.9201583999999983, -85.6517587000000020 42.9201583999999983, -85.6552228200000059 42.9201583999999983, -85.6570992200000063 42.9201583999999983, -85.6602746599999989 42.9201583999999983, -85.6624397399999964 42.9201583999999983, -85.6659044000000023 42.9201583999999983))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 823 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092072-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qx7y7u
title: Occurrence Download

description: A dataset containing 15149 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serranus phoebe Poey, 1851"
 ]
}

 The dataset includes 15149 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057281-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d388f6
title: Occurrence Download

description: A dataset containing 601 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium thurberi Wooton"
 ]
}

 The dataset includes 601 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151871-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmc4un
title: Occurrence Download

description: A dataset containing 2371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-71.1749173000000042 42.3466669000000024, -71.1749173000000042 42.3483900399999982, -71.1749173000000042 42.3493473400000013, -71.1749173000000042 42.3508790200000007, -71.1749173000000042 42.3521235099999984, -71.1749173000000042 42.3539423799999994, -71.1749173000000042 42.3562398999999985, -71.1725312699999932 42.3562398999999985, -71.1706226799999939 42.3562398999999985, -71.1683323799999954 42.3562398999999985, -71.1665192300000058 42.3562398999999985, -71.1648011999999994 42.3562398999999985, -71.1648011999999994 42.3546124900000009, -71.1648011999999994 42.3526021600000036, -71.1648011999999994 42.3506875599999972, -71.1648011999999994 42.3485815000000017, -71.1648011999999994 42.3466669000000024, -71.1662329400000004 42.3466669000000024, -71.1680460900000043 42.3466669000000024, -71.1694775299999947 42.3466669000000024, -71.1719586899999967 42.3466669000000024, -71.1749173000000042 42.3466669000000024))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 2371 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092074-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7h2g6
title: Occurrence Download

description: A dataset containing 633 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Torenia asiatica L."
 ]
}

 The dataset includes 633 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057285-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emmnw4
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physaria berlandieri (S.Watson) O'Kane & Al-Shehbaz"
 ]
}

 The dataset includes 116 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151853-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qq4wz
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microgenia edwini (Brazier, 1894)"
 ]
}

 The dataset includes 41 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092075-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqs5aa
title: Occurrence Download

description: A dataset containing 4425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sicyos angulatus L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4425 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057250-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnxvsb
title: Occurrence Download

description: A dataset containing 1197786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Repatriated is TRUE",
 "Country is Norway"
 ]
}

 The dataset includes 1197786 records from 1196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125762-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477841
title: KATTA MA'LUMOTLAR VA MASHINAVIY O'RGANISH ASOSIDA TALABALARNING AKADEMIK KO'RSATKICHLARINI BASHORATLASH

description: Bugungi kunda ta’lim tizimida raqamlashtirish jarayonining jadal rivojlanishi natijasida katta hajmdagi ma’lumotlar (Big Data) shakllanmoqda. Ushbu maqolada Big Data texnologiyalari va mashinaviy o‘rganish algoritmlaridan foydalangan holda talabalarning akademik ko‘rsatkichlarini bashoratlash masalasi yoritilgan. Talabalarning baholari, davomat ko‘rsatkichlari, o‘quv faolligi va boshqa omillar asosida prognozlash modellari ishlab chiqilgan. Tadqiqot natijalari mashinaviy o‘rganish yondashuvi talabalarning o‘qishdagi muvaffaqiyatini oldindan aniqlashda samarali ekanligini ko‘rsatadi.
DOI: 10.5281/zenodo.18477842
title: KATTA MA'LUMOTLAR VA MASHINAVIY O'RGANISH ASOSIDA TALABALARNING AKADEMIK KO'RSATKICHLARINI BASHORATLASH

description: Bugungi kunda ta’lim tizimida raqamlashtirish jarayonining jadal rivojlanishi natijasida katta hajmdagi ma’lumotlar (Big Data) shakllanmoqda. Ushbu maqolada Big Data texnologiyalari va mashinaviy o‘rganish algoritmlaridan foydalangan holda talabalarning akademik ko‘rsatkichlarini bashoratlash masalasi yoritilgan. Talabalarning baholari, davomat ko‘rsatkichlari, o‘quv faolligi va boshqa omillar asosida prognozlash modellari ishlab chiqilgan. Tadqiqot natijalari mashinaviy o‘rganish yondashuvi talabalarning o‘qishdagi muvaffaqiyatini oldindan aniqlashda samarali ekanligini ko‘rsatadi.
DOI: 10.5281/zenodo.18477860
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.5281/zenodo.18477859
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.6084/m9.figshare.30449204
title: Statistical analysis and raw data for Kono & Kanno (2025): Vocal quantity–quality relationships in mouse courtship USVs

description: This dataset contains all raw data (datasheets for statistical analyses), R scripts, and summary documents necessary to reproduce the statistical analyses presented in Figures 3–5 and Supplemental Figures S1–S4 of the manuscript “Linking Quantity and Acoustic Properties of Courtship Vocalizations in Male Mice” (Kono & Kanno, 2026), submitted to <i>Behavioural Brain Research</i>.<br>The file structure is as follows:<br><b>For ICR analysis (Figures 3–4, Figures S1–S2)</b>:KonoBBRdata1_ICR.csv: Raw dataset for ICR males (Figures 3–4, Figure S2)KonoBBRdata2mixedmodel_ICR.csv: Raw dataset for ICR males (Figure S1) *Note: “interval sec” and “interval ms” include all recorded inter-syllable intervals. The “interval” column is restricted to inter-syllable intervals ≤ 250 ms and was used for the interval analyses reported in the manuscript.*Kono-Kanno2026-ICR_Fig3-4.R: R script for all statistical analyses in Figures 3 and 4Kono-Kanno2026-ICR_FigS1-2.R: R script for all statistical analyses in Figures S1 and S2<br><b>For B6 analysis (Figure 5, Figures S3–S4)</b>:KonoBBRdata1_B6.csv: Raw dataset for B6 males (Figure 5, Figure S4)KonoBBRdata2mixedmodel_B6.csv: Raw dataset for B6 males (Figure S3) *Note: “interval sec” and “interval ms” include all recorded inter-syllable intervals. The “interval” column is restricted to inter-syllable intervals ≤ 250 ms and was used for the interval analyses reported in the manuscript.*Kono-Kanno2026-B6_Fig5.R: R script for all statistical analyses in Figure 5Kono-Kanno2026-B6_FigS3-4.R: R script for all statistical analyses in Figures S3 and S4<br><b>Summary outputs (generated via R Markdown)</b>:StatSummary_Figs3-4.html: Statistical report for Figures 3 and 4StatSummary_Fig5.html: Statistical report for Figure 5StatSummary_FigsS1-2.html: Statistical report for Figures S1 and S2StatSummary_FigsS3-4.html: Statistical report for Figures S3 and S4<br>All statistical analyses were conducted using R (version 4.5.1) and are fully reproducible using the included scripts and datasets. The summary reports provide detailed outputs of Welch’s ANOVA, Holm-adjusted post-hoc tests, Pearson correlation analyses, ANCOVA, linear mixed-effects models, and diagnostic plots.
DOI: 10.6084/m9.figshare.30449204.v2
title: Statistical analysis and raw data for Kono & Kanno (2025): Vocal quantity–quality relationships in mouse courtship USVs

description: This dataset contains all raw data (datasheets for statistical analyses), R scripts, and summary documents necessary to reproduce the statistical analyses presented in Figures 3–5 and Supplemental Figures S1–S4 of the manuscript “Linking Quantity and Acoustic Properties of Courtship Vocalizations in Male Mice” (Kono & Kanno, 2026), submitted to <i>Behavioural Brain Research</i>.<br>The file structure is as follows:<br><b>For ICR analysis (Figures 3–4, Figures S1–S2)</b>:KonoBBRdata1_ICR.csv: Raw dataset for ICR males (Figures 3–4, Figure S2)KonoBBRdata2mixedmodel_ICR.csv: Raw dataset for ICR males (Figure S1) *Note: “interval sec” and “interval ms” include all recorded inter-syllable intervals. The “interval” column is restricted to inter-syllable intervals ≤ 250 ms and was used for the interval analyses reported in the manuscript.*Kono-Kanno2026-ICR_Fig3-4.R: R script for all statistical analyses in Figures 3 and 4Kono-Kanno2026-ICR_FigS1-2.R: R script for all statistical analyses in Figures S1 and S2<br><b>For B6 analysis (Figure 5, Figures S3–S4)</b>:KonoBBRdata1_B6.csv: Raw dataset for B6 males (Figure 5, Figure S4)KonoBBRdata2mixedmodel_B6.csv: Raw dataset for B6 males (Figure S3) *Note: “interval sec” and “interval ms” include all recorded inter-syllable intervals. The “interval” column is restricted to inter-syllable intervals ≤ 250 ms and was used for the interval analyses reported in the manuscript.*Kono-Kanno2026-B6_Fig5.R: R script for all statistical analyses in Figure 5Kono-Kanno2026-B6_FigS3-4.R: R script for all statistical analyses in Figures S3 and S4<br><b>Summary outputs (generated via R Markdown)</b>:StatSummary_Figs3-4.html: Statistical report for Figures 3 and 4StatSummary_Fig5.html: Statistical report for Figure 5StatSummary_FigsS1-2.html: Statistical report for Figures S1 and S2StatSummary_FigsS3-4.html: Statistical report for Figures S3 and S4<br>All statistical analyses were conducted using R (version 4.5.1) and are fully reproducible using the included scripts and datasets. The summary reports provide detailed outputs of Welch’s ANOVA, Holm-adjusted post-hoc tests, Pearson correlation analyses, ANCOVA, linear mixed-effects models, and diagnostic plots.
DOI: 10.6084/m9.figshare.30449204.v1
title: Statistical analysis and raw data for Kono & Kanno (2025): Vocal quantity–quality relationships in mouse courtship USVs

description: This dataset contains all raw data, R scripts, and summary documents necessary to reproduce the statistical analyses presented in Figures 2–4 of the manuscript <i>“Vocal quantity–quality relationships in mouse courtship USVs”</i> (Kono & Kanno, 2025), submitted to <i>Behavioural Brain Research</i>.<br><br>The file structure is as follows:<b>For ICR analysis (Figs. 2–3):</b>Kono-Kanno2025ICR_data.csv: Raw dataset for ICR malesKono-Kanno2025ICR_Fig2-3.R: R script for all statistical analyses in Figures 2 and 3<br><b>For B6 analysis (Fig. 4):</b>Kono-Kanno2025B6_data.csv: Raw dataset for B6 malesKono-Kanno2025B6_Fig4.R: R script for statistical analysis in Figure 4<br><b>Summary outputs (generated via R Markdown):</b>StatSummary_Figs2-3.pdf and StatSummary_Figs2-3.html: Statistical report for Figures 2 and 3StatSummary_Fig4.pdf and StatSummary_Fig4.html: Statistical report for Figure 4<br>All statistical analyses were conducted using R (version 4.5.1) and are fully reproducible using the included scripts and datasets. The summary reports provide detailed outputs of Welch’s ANOVA, Holm-adjusted post-hoc tests, Pearson correlation tests, and diagnostic plots.
DOI: 10.3535/pgk-b9d-84p
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0wp-7jw-n6w
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.6084/m9.figshare.31247230
title: A multi-method assessment of elasmobranch communities in a high conservation and management priority region

description: Elasmobranch (shark and ray) communities are important for healthy marine ecosystems; however, historical commercial shark fishing on the North-West coast of Western Australia (WA), a global diversity hotspot, heavily impacted several of these species and has been intensively managed since to revert population declines. Traditional monitoring techniques, like longlines and Baited Remote Underwater Video systems (BRUVs), are effective at surveying species within this clade but are intrinsically biased and invasive. Environmental DNA (eDNA) utilises trace genetic fragments found in the environment to detect species presence and hence can survey biodiversity in a non-invasive manner. In this study, we compared elasmobranch diversity, spatial and depth variation across North-West WA from three methodologies: longlines, pelagic BRUVs, and eDNA. This data repository includes: sample collection metadata, the final abundance/taxonomic matrix used for analysis and the raw demultiplexed eDNA sequencing data.
DOI: 10.6084/m9.figshare.31247230.v1
title: A multi-method assessment of elasmobranch communities in a high conservation and management priority region

description: Elasmobranch (shark and ray) communities are important for healthy marine ecosystems; however, historical commercial shark fishing on the North-West coast of Western Australia (WA), a global diversity hotspot, heavily impacted several of these species and has been intensively managed since to revert population declines. Traditional monitoring techniques, like longlines and Baited Remote Underwater Video systems (BRUVs), are effective at surveying species within this clade but are intrinsically biased and invasive. Environmental DNA (eDNA) utilises trace genetic fragments found in the environment to detect species presence and hence can survey biodiversity in a non-invasive manner. In this study, we compared elasmobranch diversity, spatial and depth variation across North-West WA from three methodologies: longlines, pelagic BRUVs, and eDNA. This data repository includes: sample collection metadata, the final abundance/taxonomic matrix used for analysis and the raw demultiplexed eDNA sequencing data.
DOI: 10.15468/dl.wrck5e
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrrosia niphoboloides"
 ]
}

 The dataset includes 163 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010932-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477855
title: ICHKI NAZORAT VA AUDIT TIZIMI SAMARADORLIGINING EMPERIK TADQIQOTI

description: Mazkur tadqiqotda byudjet tashkilotlarida, xususan ta’lim muassasalarida moliyaviy nazorat va ichki audit tizimini takomillashtirish masalalariga bag‘ishlangan empirik tadqiqotlar tizimli ravishda tahlil qilingan. Ilmiy ishda O‘zbekiston ta’lim muassasalarida ichki audit samaradorligi, uning moliyaviy intizom, byudjet mablag‘laridan foydalanish samaradorligi, korrupsiya xavfini kamaytirish hamda moliyaviy barqarorlikka ta’siri turli empirik tadqiqotlar natijalari asosida yoritilgan. Tahlil jarayonida ichki audit samaradorligiga ta’sir etuvchi asosiy omillar, jumladan, audit bo‘limlarining mustaqilligi, auditorlarning malakasi, audit metodologiyasi, axborot texnologiyalaridan foydalanish darajasi va audit natijalaridan boshqaruv qarorlarida foydalanish amaliyoti aniqlangan. Shuningdek, xalqaro tajriba va raqamli texnologiyalarni joriy etishning ichki audit samaradorligini oshirishdagi ahamiyati asoslab berilgan. Tadqiqot xulosalari ta’lim muassasalarida ichki audit tizimini kompleks ravishda takomillashtirish bo‘yicha amaliy tavsiyalar ishlab chiqish uchun ilmiy-amaliy asos bo‘lib xizmat qiladi.
DOI: 10.5281/zenodo.18477856
title: ICHKI NAZORAT VA AUDIT TIZIMI SAMARADORLIGINING EMPERIK TADQIQOTI

description: Mazkur tadqiqotda byudjet tashkilotlarida, xususan ta’lim muassasalarida moliyaviy nazorat va ichki audit tizimini takomillashtirish masalalariga bag‘ishlangan empirik tadqiqotlar tizimli ravishda tahlil qilingan. Ilmiy ishda O‘zbekiston ta’lim muassasalarida ichki audit samaradorligi, uning moliyaviy intizom, byudjet mablag‘laridan foydalanish samaradorligi, korrupsiya xavfini kamaytirish hamda moliyaviy barqarorlikka ta’siri turli empirik tadqiqotlar natijalari asosida yoritilgan. Tahlil jarayonida ichki audit samaradorligiga ta’sir etuvchi asosiy omillar, jumladan, audit bo‘limlarining mustaqilligi, auditorlarning malakasi, audit metodologiyasi, axborot texnologiyalaridan foydalanish darajasi va audit natijalaridan boshqaruv qarorlarida foydalanish amaliyoti aniqlangan. Shuningdek, xalqaro tajriba va raqamli texnologiyalarni joriy etishning ichki audit samaradorligini oshirishdagi ahamiyati asoslab berilgan. Tadqiqot xulosalari ta’lim muassasalarida ichki audit tizimini kompleks ravishda takomillashtirish bo‘yicha amaliy tavsiyalar ishlab chiqish uchun ilmiy-amaliy asos bo‘lib xizmat qiladi.