cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48579/pro/tdh6f4/sgsrnh
title: Batch1_Conus_Scaffold_18_64295812-64296138.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/3wp5ch
title: Batch1_Conus_Scaffold_1_24694832-24695003.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/btbmcl
title: Batch1_Conus_Scaffold_27_2460789-2461033.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/nmtcou
title: Batch1_Conus_Scaffold_20_10565526-10565728.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.15468/dl.9r9eub
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Gentiana crenulatotruncata (C.Marquand) T.N.He"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027940-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48579/pro/tdh6f4/8cgjot
title: Batch1_Conus_Scaffold_35_29508991-29509200.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/kvaglw
title: Batch1_Conus_Scaffold_2_104012717-104013002.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/gvk8m0
title: Batch1_Conus_Scaffold_10_66270462-66270690.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/18te4f
title: Batch1_Conus_Scaffold_2_138255074-138255264.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/hlmibi
title: Batch1_Conus_Scaffold_16_79345944-79346155.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/7cqve9
title: Batch1_Conus_Scaffold_35_4419206-4419451.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/umoeat
title: Batch1_Conus_Scaffold_16_47117299-47117491.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/w69uic
title: Batch1_Conus_Scaffold_25_2835460-2835682.exonfasta.aligned_CORR.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/8dsq6d
title: Batch1_Conus_Scaffold_16_20977212-20977385.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.15468/dl.cmnxe3
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centaurea solstitialis subsp. schouwii (DC.) Dostál, Centaurea schouwii DC., Centaurea sicula subsp. schouwii (DC.) Nyman, Calcitrapa schouwii (DC.) Holub, Centaurea solstitialis subsp. schouwii (DC.) Gugler)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027941-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48579/pro/tdh6f4/5umbep
title: Batch1_Conus_Scaffold_5_64529179-64529366.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/8jud99
title: Batch1_Conus_Scaffold_18_50031455-50031691.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/cwhvkl
title: Batch1_Conus_Scaffold_8_85182798-85182993.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/r3c3yj
title: Batch1_Conus_Scaffold_2_52629548-52629744.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/47wb85
title: Batch1_Conus_Scaffold_6_70642370-70642550.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/sxzyyd
title: Batch1_Conus_Scaffold_2_143596460-143596674.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/cbcj3f
title: Batch1_Conus_Scaffold_16_43941941-43942265.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/8ku9ok
title: Batch1_Conus_Scaffold_14_14369963-14371996.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/bolxme
title: Batch1_Conus_Scaffold_4_1002387-1002757.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/amjx7u
title: Batch1_Conus_Scaffold_33_39368872-39369052.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/dsrqlj
title: Batch1_Conus_Scaffold_3_32736442-32736628.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/0vcasi
title: Batch1_Conus_Scaffold_1_137981328-137981500.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/3hzz0a
title: Batch1_Conus_Scaffold_1_124892098-124892282.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/td6krm
title: Batch1_Conus_Scaffold_17_27964047-27964234.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/se43bi
title: Batch1_Conus_Scaffold_31_29819563-29819732.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/hoesgu
title: Batch1_Conus_Scaffold_31_7831551-7831734.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.23668/psycharchives.2357
title: Dataset for: Psychosis Proneness: A Neglected Personality Correlate of Right-Wing Authoritarianism and Prejudice
title: Study_1_first_sample_German_Turks
DOI: 10.48579/pro/tdh6f4/aauh1j
title: Batch1_Conus_Scaffold_10_78272856-78273084.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/lc6a4i
title: Batch1_Conus_Scaffold_2_29531450-29531651.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/jc2nfi
title: Batch1_Conus_Scaffold_22_17078903-17079093.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/krvuwk
title: Batch1_Conus_Scaffold_10_24217943-24218199.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/whmvsa
title: Batch1_Conus_Scaffold_11_3161774-3161948.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/kcnnet
title: Batch1_Conus_Scaffold_34_30574390-30574568.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/duvcpa
title: Batch1_Conus_Scaffold_12_62696956-62697145.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/hsuzgk
title: Batch1_Conus_Scaffold_3_118435620-118435821.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/7c7pn1
title: Batch1_Conus_Scaffold_4_81869578-81869774.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/g2bwd4
title: Batch1_Conus_Scaffold_16_46637884-46638163.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/s80l2l
title: Batch1_Conus_Scaffold_11_44604419-44604840.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/mk0fdd
title: Batch1_Conus_Scaffold_9_44356408-44356633.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.23668/psycharchives.2359
title: What about false insights? Deconstructing the Aha! experience along its multiple dimensions for correct and incorrect solutions separately.
title: Dataset for: What about false insights? Deconstructing the Aha! experience along its multiple dimensions for correct and incorrect solutions separately.

description: Dataset for: Danek, A.H. & Wiley, J. (2017). What about false insights? Deconstructing the Aha! experience along its multiple dimensions for correct and incorrect solutions separately. In: Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2016.02077
DOI: 10.48579/pro/tdh6f4/q7pavm
title: Batch1_Conus_Scaffold_5_64544564-64544732.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/ppihfq
title: Batch1_Conus_Scaffold_22_67198888-67199061.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/5zisnm
title: Batch1_Conus_Scaffold_21_75532771-75532981.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/jkftso
title: Batch1_Conus_Scaffold_23_53892211-53892378.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/9ruyfi
title: Batch1_Conus_Scaffold_25_28301253-28301426.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/kvlifb
title: Batch1_Conus_Scaffold_30_36005508-36005717.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/rddrvr
title: Batch1_Conus_Scaffold_4_32941548-32941716.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/yamy2d
title: Batch1_Conus_Scaffold_24_39093470-39093651.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/dnmxga
title: Batch1_Conus_Scaffold_22_11447470-11447637.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/ilr2bo
title: Batch1_Conus_Scaffold_11_11534780-11535008.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/ttizyj
title: Batch1_Conus_Scaffold_19_63005985-63006160.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/wg8nzm
title: Batch1_Conus_Scaffold_24_7472804-7473021.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.23668/psycharchives.2361
title: Dataset for: General cognitive but not mathematic abilities predict very preterm and healthy term born adults’ wealth

description: Dataset for: Jaekel, J., Baumann, N., Bartmann, P., & Wolke, D. (2019). General cognitive but not mathematic abilities predict very preterm and healthy term born adults’ wealth. PLOS ONE, 14(3), e0212789. https://doi.org/10.1371/journal.pone.0212789
description: Online material - Dataset
DOI: 10.48579/pro/tdh6f4/okywzr
title: Batch1_Conus_Scaffold_15_27285769-27285939.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/qddqm4
title: Batch1_Conus_Scaffold_3_68972503-68972692.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/zmzqld
title: Batch1_Conus_Scaffold_20_50882945-50883246.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/faxkue
title: Batch1_Conus_Scaffold_19_6756758-6756978.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/mnss8m
title: Batch1_Conus_Scaffold_4_55934974-55935174.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/smtcal
title: Batch1_Conus_Scaffold_20_50967905-50968147.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/tueg28
title: Batch1_Conus_Scaffold_7_49071020-49071192.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.23668/psycharchives.2362
title: Dataset for: Interference of irrelevant information in multisensory selection depends on attentional set
title: ms_attentionalset
DOI: 10.48579/pro/tdh6f4/8qkrzr
title: Batch1_Conus_Scaffold_16_36225403-36225637.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/gakk7g
title: Batch1_Conus_Scaffold_19_56101079-56101241.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/cn06hy
title: Batch1_Conus_Scaffold_3_107995757-107996070.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/tpeboc
title: Batch1_Conus_Scaffold_9_73303143-73303415.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/8pcqel
title: Batch1_Conus_Scaffold_2_64451946-64452140.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/97cdvv
title: Batch1_Conus_Scaffold_11_48320351-48320568.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/sb9pgr
title: Batch1_Conus_Scaffold_34_36573094-36573311.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/qtxxzz
title: Batch1_Conus_Scaffold_3_33939529-33939701.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.15468/dl.fzw7sb
title: Occurrence Download

description: A dataset containing 784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Iris tectorum Maxim."
 ]
}

 The dataset includes 784 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027942-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48579/pro/tdh6f4/ey8v9g
title: Batch1_Conus_Scaffold_2_52632009-52632196.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/pxhfjl
title: Batch1_Conus_Scaffold_16_43677680-43677848.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/4bkmxa
title: Batch1_Conus_Scaffold_8_66472124-66472308.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/16jvuc
title: Batch1_Conus_Scaffold_6_23785177-23785370.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.23668/psycharchives.2364
title: Bald and Bad? Experimental Evidence for a Dual-Process Account of Baldness Stereotyping

description: Dataset for: Kranz, D., Nadarevic, L., & Erdfelder, E. (2019). Bald and bad? Experimental evidence for a dual-process account of baldness stereotyping. Experimental Psychology, 66(5), 331–345. https://doi.org/10.1027/1618-3169/a000457
description: According to (a) the beauty ideal of a full head of hair and (b) the physical attractiveness stereotype (PAS; “what is beautiful is good”), bald men should appear less attractive than nonbald men, not only physically but also socially. To explain inconsistent results on this prediction in previous research, we suggest two antagonistic processes: the automatic activation of the PAS at the implicit level and its suppression at the explicit level, the latter process selectively triggered by individuating information about the target person. In line with this account, we only found negative social attractiveness ratings for bald men by same-aged women when individuating target information was lacking (Experiment 1). In contrast, irrespective of whether individuating information was available or not, we reliably found evidence for the PAS in different implicit paradigms (the implicit association test in Experiment 2 and a source monitoring task in Experiment 3). We conclude that individuating information about bald men suppresses PAS application, but not PAS activation.
DOI: 10.48579/pro/tdh6f4/ghkg1x
title: Batch1_Conus_Scaffold_35_17209139-17209387.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.6084/m9.figshare.25061485
title: Estimation of active surface deformation using PSInSAR technique of the Central Himalayan region

description: The Kumaun Himalaya is considered as the most active part of the Central Seismic gap in the Indian Sub-continent. In this paper, we presented active surface deformation rates of the Kumaun region from February 2017 to February 2021 using the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSI) technique. The cumulative displacement that occurred during the span of 4 years is ±55 mm, whereas the Line of Sight (LOS) deformation velocity rate ranges is ±7 mm/yr. Apart from PSI, we also estimated the b-value of the Kumaun region from 1803 to 2021 (399 events) and its value is 0.54 ± 0.03. A distinct NE-SW trend of b-value is observed where earthquakes with <i>M</i> &gt; 6 occurred towards NE of this trend. The PSI-derived deformation reveals that the central part of the Inner Lesser Himalaya along with the Main Central Thrust (MCT) zone is dominated by uplift. The zone between the Munsiari Thrust (MT) and MCT in the central region shows the maximum uplift ranging 5–7 mm/yr which exactly lies above the mid-crustal ramp of the Main Himalayan Thrust (MHT). Our results are well corroborated with available observations of geodetic strain and peak ground acceleration values. However, the deformation patterns and high-velocity rates in the central part of the study area between MT and MCT indicate the accumulation of high stress.
DOI: 10.6084/m9.figshare.25061485.v1
title: Estimation of active surface deformation using PSInSAR technique of the Central Himalayan region

description: The Kumaun Himalaya is considered as the most active part of the Central Seismic gap in the Indian Sub-continent. In this paper, we presented active surface deformation rates of the Kumaun region from February 2017 to February 2021 using the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSI) technique. The cumulative displacement that occurred during the span of 4 years is ±55 mm, whereas the Line of Sight (LOS) deformation velocity rate ranges is ±7 mm/yr. Apart from PSI, we also estimated the b-value of the Kumaun region from 1803 to 2021 (399 events) and its value is 0.54 ± 0.03. A distinct NE-SW trend of b-value is observed where earthquakes with <i>M</i> &gt; 6 occurred towards NE of this trend. The PSI-derived deformation reveals that the central part of the Inner Lesser Himalaya along with the Main Central Thrust (MCT) zone is dominated by uplift. The zone between the Munsiari Thrust (MT) and MCT in the central region shows the maximum uplift ranging 5–7 mm/yr which exactly lies above the mid-crustal ramp of the Main Himalayan Thrust (MHT). Our results are well corroborated with available observations of geodetic strain and peak ground acceleration values. However, the deformation patterns and high-velocity rates in the central part of the study area between MT and MCT indicate the accumulation of high stress.
DOI: 10.48579/pro/tdh6f4/slsd5c
title: Batch1_Conus_Scaffold_21_58639508-58639786.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.6084/m9.figshare.27195352
title: Multiple-model based prediction of weekly discharge of the Brahmaputra-Jamuna by assimilating antecedent hydrological regime

description: In hydrology, accurate predictions and monitoring of river discharge are critical for river engineering, flood mitigation, water resource management and agricultural purposes. The Brahmaputra-Jamuna in Bangladesh, one of the highest discharge rivers in South Asia, is fundamental to the region’s socio-economic structure and a major driver of flooding. Hence, predicting discharge in this river is crucial for managing water resources, protecting infrastructures and minimizing flood risks. In this study, four machine learning models, namely, Random Forest (RF), Support Vector Machine (SVM), Gradient Boosting Regression Tree (GBRT), eXtreme Gradient Boosting (XGB) and their ensemble model were employed for weekly river discharge (Q<sub>t</sub>) prediction at Bahadurabad Transit. Weekly observed discharge and ERA5 reanalysis rainfall data with lag times from 1976 to 2022 were used for model calibration and validation. Various graphical and statistical evaluation metrics were employed to assess the model’s performance. The findings indicate R<sub>t</sub>, R<sub>t-1</sub>, Q<sub>t-1</sub> is the most effective inputs in predicting discharge (<i>r</i> = 0.92). Individual and ensemble models have a very good performance (R<sup>2</sup>, NSE: 0.85 to 0.92), and the ensemble model outperforms RF by 4.55%, SVM by 8.24%, GBRT by 3.37% and XGB by 2.22%. For peak discharge simulation, the ensemble model shows the best performance (R<sup>2</sup> = 0.94, NSE = 0.94, RMSE = 4013.11 m<sup>3</sup>/s and MAE = 2843.60 m<sup>3</sup>/s). The reliability analysis verified the ensemble’s superiority. The models in this study were efficient, adaptable and applicable for river discharge prediction in the Brahmaputra-Jamuna and other river gauge stations.
DOI: 10.6084/m9.figshare.27195352.v1
title: Multiple-model based prediction of weekly discharge of the Brahmaputra-Jamuna by assimilating antecedent hydrological regime

description: In hydrology, accurate predictions and monitoring of river discharge are critical for river engineering, flood mitigation, water resource management and agricultural purposes. The Brahmaputra-Jamuna in Bangladesh, one of the highest discharge rivers in South Asia, is fundamental to the region’s socio-economic structure and a major driver of flooding. Hence, predicting discharge in this river is crucial for managing water resources, protecting infrastructures and minimizing flood risks. In this study, four machine learning models, namely, Random Forest (RF), Support Vector Machine (SVM), Gradient Boosting Regression Tree (GBRT), eXtreme Gradient Boosting (XGB) and their ensemble model were employed for weekly river discharge (Q<sub>t</sub>) prediction at Bahadurabad Transit. Weekly observed discharge and ERA5 reanalysis rainfall data with lag times from 1976 to 2022 were used for model calibration and validation. Various graphical and statistical evaluation metrics were employed to assess the model’s performance. The findings indicate R<sub>t</sub>, R<sub>t-1</sub>, Q<sub>t-1</sub> is the most effective inputs in predicting discharge (<i>r</i> = 0.92). Individual and ensemble models have a very good performance (R<sup>2</sup>, NSE: 0.85 to 0.92), and the ensemble model outperforms RF by 4.55%, SVM by 8.24%, GBRT by 3.37% and XGB by 2.22%. For peak discharge simulation, the ensemble model shows the best performance (R<sup>2</sup> = 0.94, NSE = 0.94, RMSE = 4013.11 m<sup>3</sup>/s and MAE = 2843.60 m<sup>3</sup>/s). The reliability analysis verified the ensemble’s superiority. The models in this study were efficient, adaptable and applicable for river discharge prediction in the Brahmaputra-Jamuna and other river gauge stations.
DOI: 10.48579/pro/tdh6f4/42yvux
title: Batch1_Conus_Scaffold_21_39533240-39533462.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav
DOI: 10.48579/pro/tdh6f4/35dhlh
title: Batch1_Conus_Scaffold_17_78052975-78053260.exonfasta.aligned.nuc123.renamed.replicates.fasta

description: :unav