cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18244505
title: Commercial wind turbine data of 150 turbines and locally optimized parameter values for power curve fitting

description: Raw and processed data over the selected sample of 150 commercial wind turbines, also including the locally optimized parameter values for each model used in an analysis for wind turbine curve fitting.
DOI: 10.5281/zenodo.18244506
title: Commercial wind turbine data of 150 turbines and locally optimized parameter values for power curve fitting

description: Raw and processed data over the selected sample of 150 commercial wind turbines, also including the locally optimized parameter values for each model used in an analysis for wind turbine curve fitting.
DOI: 10.5281/zenodo.18244585
title: Asparagus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244584
title: Asparagus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.57745/pub9yb
title: MacroinvertebrateTraitCWMPerStation.csv

description: table with stream stations as rows (76 stations) and trait categories as columns. Community Weighted Means (CWMs) calculated from the tables "MacroinvertebrateSpeciesPerStation" and "MacroinvertebrateTraitCategoryPerSpecies".
DOI: 10.57745/xr9qoc
title: MacroinvertebrateSpeciesPerStation.csv

description: table with stream stations as rows (76 stations) and aquatic macroinvertebrate species as columns. All values are abundances averaged for the 2019-2022 period.
DOI: 10.57745/miekv3
title: MacroinvertebrateTaxonomy.tab

description: List of aquatic macroinvertebrate species with taxonomical information (Family, Order, Class). "nd" is non-defined.
DOI: 10.57745/xvafdh
title: MacroinvertebrateTraitCategoryPerSpecies.csv

description: table with aquatic macroinvertebrate species as rows and trait categories as columns. Affinities of each species to trait categories are coded with scores from 0 to 5 (derived from Tachet el al. 2010).
DOI: 10.57745/55hsyk
title: EnvironmentalDriversPerStation.tab

description: table with stream stations as rows (76 stations) and environmental variables as columns (Feeding Inhibition (FI; Toxicity), Water Temperature, NH4, NO3, NO2 and PO4). Values are averaged for the 2019-2022 period.
DOI: 10.57745/dob0tm
title: MacroinvertebrateTaxonomy.tab

description: List of aquatic macroinvertebrate species with taxonomical information (Family, Order, Class). "nd" is non-defined.
DOI: 10.57745/qhnmgn
title: EnvironmentalDriversPerStation.tab

description: table with stream stations as rows (76 stations) and environmental variables as columns (Feeding Inhibition (FI; Toxicity), Water Temperature, NH4, NO3, NO2 and PO4). Values are averaged for the 2019-2022 period.
DOI: 10.57745/zvu64k
title: MacroinvertebrateTraitCategoryPerSpecies.tab

description: table with aquatic macroinvertebrate species as rows and trait categories as columns. Affinities of each species to trait categories are coded with scores from 0 to 5 (derived from Tachet el al. 2010).
DOI: 10.57745/a2slpn
title: MacroinvertebrateTraitCWMPerStation.tab

description: table with stream stations as rows (76 stations) and trait categories as columns. Community Weighted Means (CWMs) calculated from the tables "MacroinvertebrateSpeciesPerStation" and "MacroinvertebrateTraitCategoryPerSpecies".
DOI: 10.57745/hw7kme
title: MacroinvertebrateSpeciesPerStation.tab

description: table with stream stations as rows (76 stations) and aquatic macroinvertebrate species as columns. All values are abundances averaged for the 2019-2022 period.
DOI: 10.57745/cztzwj
title: Dataset associated with : Uncovering aquatic toxicity as a specific stressor among multiple environmental drivers affecting the functional structure of French stream macroinvertebrate communities

description: This dataset compiles environmental, taxonomic, and functional information for 76 stream stations located in southern and western France, monitored between 2019 and 2022. It was developed in the context of a study linking chemical toxicity (based on Gammarus fossarum feeding inhibition bioassays) with aquatic macroinvertebrate community structure and traits. The dataset includes five CSV tables: EnvironmentalDriversPerStation.csv — Environmental variables per station: feeding inhibition (FI, toxicity indicator), water temperature, and nutrient concentrations (NH₄⁺, NO₃⁻, NO₂⁻, PO₄³⁻). Values are averages for 2019–2022. MacroinvertebrateSpeciesPerStation.csv — Abundance of aquatic macroinvertebrate taxa (genus or species level) per station, averaged over 2019–2022. MacroinvertebrateTaxonomy.csv — Taxonomic information (Family, Order, Class) for each macroinvertebrate taxon. MacroinvertebrateTraitCategoryPerSpecies.csv — Fuzzy-coded affinities (0–5) of each taxon to 61 trait categories from Tachet et al. (2010), obtained from the freshwaterecology.info database. MacroinvertebrateTraitCWMPerStation.csv — Community Weighted Means (CWMs) of trait categories per station, computed from species abundances and trait affinities. All stations correspond to wadeable rivers (&lt;120 cm depth) included in French WFD-compliant monitoring networks. Environmental data were extracted from the national database “Naiades” (http://www.naiades.eaufrance.fr)
DOI: 10.5258/soton/wp00863
title: Modelled gridded population estimates for Kwango Province in the Democratic Republic of Congo version 4.4.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Kwango Province in the Democratic Republic of Congo (DRC). The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC between the periods 2021 to 2023, settlement extents and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey with additional support from Heather Chamberlain, Assane Gadiaga and Krishnaveni KS. Project oversight was done by Attila Lazar, Chris Nnanatu and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.5281/zenodo.18244601
title: Asparagus aethiopicus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244602
title: Asparagus aethiopicus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244564
title: LINF_310016900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18244565
title: LINF_310016900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18244587
title: UMUMIY O'RTA TA'LIM MAKTABLARIDA "TARBIYA" FANINI O'QITISHDA INTERFAOL METODLARNING QO'LLANILISHI VA ULARNING O'ZIGA XOS XUSUSIYATLARI

description: KIRISH: Ushbu maqolada umumta’lim maktablarida “Tarbiya” fani darslarida interfaol metodlarni qo’llash, ta’lim oluvchilarning fanga bo’lgan qiziqishini yanada oshirish bo’yicha fikr va mulohazalar keltirilgan.

MAQSAD: Zamonaviy shaxs kamoli, tarbiyalanuvchilarning ta’limiy-tarbiyaviy faoliyatlarini to’g’ri yo’lga qo’yish, yosh avlodni bugungi kun talablariga uyg’un holda tarbiyalash.
DOI: 10.5281/zenodo.18244586
title: UMUMIY O'RTA TA'LIM MAKTABLARIDA "TARBIYA" FANINI O'QITISHDA INTERFAOL METODLARNING QO'LLANILISHI VA ULARNING O'ZIGA XOS XUSUSIYATLARI

description: KIRISH: Ushbu maqolada umumta’lim maktablarida “Tarbiya” fani darslarida interfaol metodlarni qo’llash, ta’lim oluvchilarning fanga bo’lgan qiziqishini yanada oshirish bo’yicha fikr va mulohazalar keltirilgan.

MAQSAD: Zamonaviy shaxs kamoli, tarbiyalanuvchilarning ta’limiy-tarbiyaviy faoliyatlarini to’g’ri yo’lga qo’yish, yosh avlodni bugungi kun talablariga uyg’un holda tarbiyalash.
DOI: 10.5281/zenodo.18244607
title: Asparagus asparagoides (L.) W.Wight. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244608
title: Asparagus asparagoides (L.) W.Wight. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.7910/dvn/pbhgou
title: Replication Data for: Debt Maturity Management

description: Replication code for Debt Maturity Management,
DOI: 10.5258/soton/wp00864
title: Modelled gridded population estimates for Kwilu Province in the Democratic Republic of Congo version 4.4.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Kwilu Province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2022 as well as settlement extents and geospatial covariates, to model and estimate population numbers at grid cell level using a Bayesian hierarchical statistical modelling framework. The approach facilitated accounting for the multiple levels of variability within the data while simultaneously quantifying for uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2022, which is the period following the PDRS survey data collection for Kwilu. Although the methods were robust enough to explicitly account for key random biases and adjust for potential systematic biases within the observed datasets, it is important to note that some systematic biases arising from other sources may remain.

These data were produced by the WorldPop Research Group at the University of Southampton. The work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. A robust Bayesian joint (hurdle) population modelling approach was developed to estimate population density whilst at same time accounting for probability of settlement detection. The final statistical modelling was conceived, designed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey, while project oversight was provided by Attila Lazar, and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised, and shared by the PNLP and the implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.5258/soton/wp00865
title: Modelled gridded population estimates for Lomami Province in the Democratic Republic of Congo version 4.4.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Lomami Province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2022, settlement extents and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2022. This time period corresponds to the PDRS survey date for Lomami. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Ortis Yankey. Data processing was done by Ortis Yankey with additional support from Heather Chamberlain. Project oversight was done by Chris Nnanatu, Attila Lazar, and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised, and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.5281/zenodo.18244640
title: Asparagus densiflorus (Kunth) Jessop. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244641
title: Asparagus densiflorus (Kunth) Jessop. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244626
title: TA'LIM JARAYONIDA SAVOLLARGA ASOSLANGAN YONDASHUV ORQALI MUSTAQIL FIKRLASHNI RIVOJLANTIRISH

description: Ushbu maqolada ta’lim jarayonida savollarga asoslangan yondashuvning o‘quvchilarning mustaqil fikrlash qobiliyatini rivojlantirishdagi ahamiyati yoritiladi. Mazkur yondashuv orqali o‘quvchilar faqat tayyor bilimlarni o‘zlashtirish emas, balki o‘z fikrini shakllantirish, muammolarga turli nuqtai nazardan yondashish va ijodiy tafakkur yuritishni o‘rganadilar. Shuningdek, maqolada savollarga asoslangan o‘qitishning afzalliklari, uni amaliyotda qo‘llash usullari hamda o‘qituvchining roli tahlil qilinadi.
DOI: 10.5281/zenodo.18244625
title: TA'LIM JARAYONIDA SAVOLLARGA ASOSLANGAN YONDASHUV ORQALI MUSTAQIL FIKRLASHNI RIVOJLANTIRISH

description: Ushbu maqolada ta’lim jarayonida savollarga asoslangan yondashuvning o‘quvchilarning mustaqil fikrlash qobiliyatini rivojlantirishdagi ahamiyati yoritiladi. Mazkur yondashuv orqali o‘quvchilar faqat tayyor bilimlarni o‘zlashtirish emas, balki o‘z fikrini shakllantirish, muammolarga turli nuqtai nazardan yondashish va ijodiy tafakkur yuritishni o‘rganadilar. Shuningdek, maqolada savollarga asoslangan o‘qitishning afzalliklari, uni amaliyotda qo‘llash usullari hamda o‘qituvchining roli tahlil qilinadi.
DOI: 10.5281/zenodo.18244647
title: Asparagus officinalis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244646
title: Asparagus officinalis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244633
title: PLOT STRUCTURE AND THE PHENOMENON OF RETROSPECTION IN MODERN UZBEK NOVELS
DOI: 10.5281/zenodo.18244656
title: Asparagus officinalis var. altilis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244657
title: Asparagus officinalis var. altilis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244632
title: PLOT STRUCTURE AND THE PHENOMENON OF RETROSPECTION IN MODERN UZBEK NOVELS
DOI: 10.34944/3ehd-jm89
title: David Watt: Antifundamentalism in Modern America [Audio interview]
DOI: 10.5258/soton/wp00866
title: Modelled gridded population estimates for Lualaba Province in the Democratic Republic of Congo version 4.4.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Lualaba Province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2023, settlement extents and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. This time period corresponds to the PDRS survey date for Lualaba. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey with additional support from Heather Chamberlain. Project oversight was done by Attila Lazar, Chris Nnanatu and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.5281/zenodo.18244662
title: Asparagus setaceus (Kunth) Jessop. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244661
title: Asparagus setaceus (Kunth) Jessop. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244658
title: NUTQ NUQSONLАRI BО'LGАN MАKTАBGАCHА YOSHDАGI BOLАLАRNING RIVOJLАNISH XUSUSIYАTLАRI

description: Ushbu maqolada nutq nuqsonlariga ega bo‘lgan maktabgacha yoshdagi bolalarning psixofiziologik, kognitiv, emotsional hamda ijtimoiy rivojlanish xususiyatlari tahlil qilingan. Nutqning fonetik-fonematik, leksik-grammatik va bog‘langan nutq komponentlaridagi buzilishlar bolaning umumiy rivojlanish dinamikasiga qanday ta’sir ko‘rsatishi yoritilgan. Shuningdek, nutq nuqsonlari mavjud bolalarda bilish jarayonlarining shakllanishi, ijtimoiy moslashuv, kommunikativ faoliyat, o‘yin va faol harakatlar rivojlanishining o‘ziga xos jihatlari ilmiy asoslarda tadqiq etilgan.
DOI: 10.5281/zenodo.18244659
title: NUTQ NUQSONLАRI BО'LGАN MАKTАBGАCHА YOSHDАGI BOLАLАRNING RIVOJLАNISH XUSUSIYАTLАRI

description: Ushbu maqolada nutq nuqsonlariga ega bo‘lgan maktabgacha yoshdagi bolalarning psixofiziologik, kognitiv, emotsional hamda ijtimoiy rivojlanish xususiyatlari tahlil qilingan. Nutqning fonetik-fonematik, leksik-grammatik va bog‘langan nutq komponentlaridagi buzilishlar bolaning umumiy rivojlanish dinamikasiga qanday ta’sir ko‘rsatishi yoritilgan. Shuningdek, nutq nuqsonlari mavjud bolalarda bilish jarayonlarining shakllanishi, ijtimoiy moslashuv, kommunikativ faoliyat, o‘yin va faol harakatlar rivojlanishining o‘ziga xos jihatlari ilmiy asoslarda tadqiq etilgan.
DOI: 10.5281/zenodo.18244667
title: Aspicarpa Rich. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244666
title: Aspicarpa Rich. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42