cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9hc01w0
title: Bathymetry of Buckhorn Lake, Kentucky, May 2023

description: These data are bathymetry (lake bottom elevation) in XYZ format (Easting, Northing, Elevation), generated from the May 30–June 1, 2023, bathymetric survey of Buckhorn Lake, Kentucky, from the dam to CR-1475 (19.5 miles total reach length). Hydrographic data were collected using a RESON 210 kHz NaviSound single-beam echosounder (SBES) with a Hemisphere A222 integrated global navigation satellite system (GNSS) smart antenna. The SBES and GNSS antenna were mounted on a marine survey vessel, and data were collected as the survey vessel traversed the lake along planned survey lines. A total of 380 survey lines were oriented approximately perpendicular to the primary flow direction at generally 250-foot or 500-foot spacing. Data collection software (HYPACK) integrated and stored the depth and position data from the SBES and GNSS antenna in real time. Water-surface elevations were measured at the boat ramp at the dam twice a day (before and after surveying) with a Trimble R8 survey-grade integrated GNSS system with real-time kinematic (RTK) observations to convert measured bathymetric depths to elevations referenced to the North American Vertical Datum of 1988 (NAVD 88). RTK observations were made using the Kentucky Continually Operating Reference System (KYCORS) network operated by the Kentucky Transportation Cabinet. Data processing required computer software to extract the bathymetric data from the raw data files and to compile and map the information. The final comma-delimited file contains columns of Easting and Northing in feet North American Datum of 1983 (NAD83) Kentucky State Plane Single Zone (FIPS code 1600), and Elevation in feet NAVD 88. This dataset was collected in cooperation with the U.S. Army Corps of Engineers – Louisville District.
DOI: 10.6084/m9.figshare.19074026
title: SS22

description:  We examined memory and fMRI activity for photos of indoor and outdoor scenes across four time periods to examine these neural changes more carefully. Participants (N = 21) studied scenes 1 hour, 1 day, 1 week, or 1 month before scanning. During scanning, participants viewed scenes, made old/new recognition memory judgments, and gave confidence ratings.
DOI: 10.6084/m9.figshare.19074026.v1
title: SS22

description:  We examined memory and fMRI activity for photos of indoor and outdoor scenes across four time periods to examine these neural changes more carefully. Participants (N = 21) studied scenes 1 hour, 1 day, 1 week, or 1 month before scanning. During scanning, participants viewed scenes, made old/new recognition memory judgments, and gave confidence ratings.
DOI: 10.6084/m9.figshare.18665630
title: SS23

description:  We examined memory and fMRI activity for photos of indoor and outdoor scenes across four time periods to examine these neural changes more carefully. Participants (N = 21) studied scenes 1 hour, 1 day, 1 week, or 1 month before scanning. During scanning, participants viewed scenes, made old/new recognition memory judgments, and gave confidence ratings.
DOI: 10.6084/m9.figshare.18665630.v1
title: SS23

description:  We examined memory and fMRI activity for photos of indoor and outdoor scenes across four time periods to examine these neural changes more carefully. Participants (N = 21) studied scenes 1 hour, 1 day, 1 week, or 1 month before scanning. During scanning, participants viewed scenes, made old/new recognition memory judgments, and gave confidence ratings.
DOI: 10.5281/zenodo.5718375
title: Svalbox-DOM_2019-0013_Konusdalen-West

description: Model description: 
Extended model for Konusdalen West (Maaykedalen) featuring both extensional faults in the main outcrop and contractional pop-up structures in the outcrop further up.Refer to the MSc theses of Karoline Løvlie and Lise Nakken for further details on the interpretation.

Data availability:
All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797).
Exported model data use CRS epsg:32633.

Show and visualise on Svalbox.no:
Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.

For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.5718376
title: Svalbox-DOM_2019-0013_Konusdalen-West

description: Model description: 
Extended model for Konusdalen West (Maaykedalen) featuring both extensional faults in the main outcrop and contractional pop-up structures in the outcrop further up.Refer to the MSc theses of Karoline Løvlie and Lise Nakken for further details on the interpretation.

Data availability:
All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797).
Exported model data use CRS epsg:32633.

Show and visualise on Svalbox.no:
Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.

For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5066/p9scoj7m
title: Flood-Frequency Data for Six Selected Streamgages Following the Central New York Flood of October 31 – November 3, 2019

description: This U.S. Geological Survey (USGS) data release contains batch formatted annual peak streamflow data (PkFlows_AllSites.txt) through the 2020 water year for six selected USGS streamgages (01321000, 01342797, 01343060, 01346000, 01347000, and 01348000) that recorded the flood of October 31 – November 3, 2019, which severely affected the Mohawk Valley and southern Adirondack region in central New York State. This data release also contains batch formatted specification (PkFlows_AllSites.psf) and output (PEAKFLOWS_ALLSITES.PRT) files from log-Pearson type III (LPIII) flood-frequency analysis of the annual peak streamflow data in version 7.4 of the USGS PeakFQ software (Flynn and others, 2006), which implements the Bulletin 17C (England and others, 2018) methodology for determining flood flow frequency. A comma separated values file (FloodFrequencyEstimates.csv) with estimates of flood magnitudes for selected annual exceedance probabilities from three different types of flood-frequency analysis (LPIII, regional regression equations, and weighted LPIII) is also included. The basins of the selected streamgages include the Sacandaga River basin (located within the upper Hudson River basin), and the East and West Canada Creek basins (located within the Mohawk River basin). Annual peak streamflow data were obtained from the USGS National Water Information System (U.S. Geological Survey, 2016). Considerations that informed the PeakFQ specifications for all six streamgages (including the effect of regulation, differences in station and regional skew, and other considerations) are discussed in Graziano and others (2024). Regional regression equation estimates were obtained for the locations of the four streamgages where streamflow is unregulated (01321000, 01342797, 01343060, and 01348000) using the StreamStats web application (U.S. Geological Survey, 2019), which presently utilizes equations in Lumia and others (2006). Weighted LPIII estimates (for the same four streamgages where streamflow is unregulated) were computed by weighting the (at-site) LPIII estimates with the regional regression equation estimates (Lumia and others (2006), equation 3). The weighted LPIII estimates are considered the most accurate of the three types of flood-frequency estimates. For this analysis, stationarity in the annual peak streamflow records was assumed after visual inspection of the records indicated no clear trends.
DOI: 10.34740/kaggle/dsv/7481272
title: Billboard charts
DOI: 10.5281/zenodo.10567852
title: A non-canonical salicylic acid signaling network modulates root development and its microbiota composition in plants

description: Besides playing a crucial role in plant immunity via NPR proteins, increasing evidence shows that salicylic acid (SA) can also regulate plant root growth1–5. However, the transcriptional regulatory network controlling this SA response in plant roots is still unclear. Here, we reconstructed a novel root SA regulatory network, which conservedly modulates the root development and root-associated microbiota composition in both Oryza sativa (monocots) and Arabidopsis thaliana (dicots). We demonstrated that this root SA regulatory network is not controlled by the central regulators of SA response in plant leaves, NPR1 and WRKY45. Furthermore, we identified and validated the function of new regulatory players controlling root development in response to SA and impacting the root microbiota colonization. Our results established the SA signaling as a central element regulating plant root functions under ecologically relevant conditions. These results provide new insights to understand how regulatory networks control plant responses to abiotic and biotic stresses.
DOI: 10.5281/zenodo.10567853
title: A non-canonical salicylic acid signaling network modulates root development and its microbiota composition in plants

description: Besides playing a crucial role in plant immunity via NPR proteins, increasing evidence shows that salicylic acid (SA) can also regulate plant root growth1–5. However, the transcriptional regulatory network controlling this SA response in plant roots is still unclear. Here, we reconstructed a novel root SA regulatory network, which conservedly modulates the root development and root-associated microbiota composition in both Oryza sativa (monocots) and Arabidopsis thaliana (dicots). We demonstrated that this root SA regulatory network is not controlled by the central regulators of SA response in plant leaves, NPR1 and WRKY45. Furthermore, we identified and validated the function of new regulatory players controlling root development in response to SA and impacting the root microbiota colonization. Our results established the SA signaling as a central element regulating plant root functions under ecologically relevant conditions. These results provide new insights to understand how regulatory networks control plant responses to abiotic and biotic stresses.
DOI: 10.6084/m9.figshare.24429129
title: Risk stages and factors in architectural design- A structural equation modelling

description: The design phase is one of the key project processes in the construction industry. Despite the architects’ responsibility to develop complete, accurate and coordinated project documents, architectural design is accompanied by multiple errors and consequential risks. That is, the errors are potentially costly and time-consuming to correct and impose significant risks if are not caught early during the design phase, and become cumbersome to be handled in the construction documents and the construction phase. The aim of this research is to identify the risky stages in the architectural design process and find what factors cause risks in that process within the context of Iran. To this end, a combination of a qualitative and quantitative method as the sequential mixed-method was designed in which the research was commenced through the qualitative exploratory investigation to discover the literature and then, proceeded to the quantitative research including questionnaire design, model structure development and the Partial Least Square Structural Equation Modelling (PLS-SEM) application and analysis. The results of the study reveal that the greatest design risks may occur in the identification and investigation phase of the Iranian architectural design process when the feasibility studies and planning are not conducted accurately, correctly and completely. Moreover, the outcome shows that time pressures in design data collection, ambiguous objectives of the clients, and poor disciplinary coordination are the main risk factors in architectural design. documentation is important because clients ignore permission from architectstime pressures in the data collection stage are one of the root-causes of errorsengineers poorly interact with architects and clients as the main partiesthe process of the supplementary studies stage needs significant coordinationthe method of cost estimation and project planning is ineffective documentation is important because clients ignore permission from architects time pressures in the data collection stage are one of the root-causes of errors engineers poorly interact with architects and clients as the main parties the process of the supplementary studies stage needs significant coordination the method of cost estimation and project planning is ineffective
DOI: 10.6084/m9.figshare.24429129.v1
title: Risk stages and factors in architectural design- A structural equation modelling

description: The design phase is one of the key project processes in the construction industry. Despite the architects’ responsibility to develop complete, accurate and coordinated project documents, architectural design is accompanied by multiple errors and consequential risks. That is, the errors are potentially costly and time-consuming to correct and impose significant risks if are not caught early during the design phase, and become cumbersome to be handled in the construction documents and the construction phase. The aim of this research is to identify the risky stages in the architectural design process and find what factors cause risks in that process within the context of Iran. To this end, a combination of a qualitative and quantitative method as the sequential mixed-method was designed in which the research was commenced through the qualitative exploratory investigation to discover the literature and then, proceeded to the quantitative research including questionnaire design, model structure development and the Partial Least Square Structural Equation Modelling (PLS-SEM) application and analysis. The results of the study reveal that the greatest design risks may occur in the identification and investigation phase of the Iranian architectural design process when the feasibility studies and planning are not conducted accurately, correctly and completely. Moreover, the outcome shows that time pressures in design data collection, ambiguous objectives of the clients, and poor disciplinary coordination are the main risk factors in architectural design. documentation is important because clients ignore permission from architectstime pressures in the data collection stage are one of the root-causes of errorsengineers poorly interact with architects and clients as the main partiesthe process of the supplementary studies stage needs significant coordinationthe method of cost estimation and project planning is ineffective documentation is important because clients ignore permission from architects time pressures in the data collection stage are one of the root-causes of errors engineers poorly interact with architects and clients as the main parties the process of the supplementary studies stage needs significant coordination the method of cost estimation and project planning is ineffective
DOI: 10.5281/zenodo.10557081
title: Phased HG002-GRCh38 small and structural variant calls

description: This repository holds the input data for the manuscript "Jointly benchmarking small and structural variant calls with vcfdist". This data was previously generated by others at several consortia, including GIAB, T2T, HPRC, and NIST.
DOI: 10.5281/zenodo.10569661
title: AKSSF 53014 - Instream Flow Protection: Nome Area

description: Streamflow and discharge measurement data collected under Alaska Sustainable Salmon Fund (AKSSF) Grant 53014 - Instream Flow Protection: Nome Area. Data includes discharge measurements from Nome, Alaska area rivers: Anvil Creek, Cripple River, East Fork Solomon River, Nome River, Penny River, Sinuk River, and Solomon River.
DOI: 10.5281/zenodo.10569662
title: AKSSF 53014 - Instream Flow Protection: Nome Area

description: Streamflow and discharge measurement data collected under Alaska Sustainable Salmon Fund (AKSSF) Grant 53014 - Instream Flow Protection: Nome Area. Data includes discharge measurements from Nome, Alaska area rivers: Anvil Creek, Cripple River, East Fork Solomon River, Nome River, Penny River, Sinuk River, and Solomon River.
DOI: 10.6084/m9.figshare.24175264.v1
title: Ksp1 is an autophagic receptor protein for the Snx4-assisted autophagy of Ssn2/Med13

description: Ksp1 is a casein II-like kinase whose activity prevents aberrant macroautophagy/autophagy induction in nutrient-rich conditions in yeast. Here, we describe a kinase-independent role of Ksp1 as a novel autophagic receptor protein for Ssn2/Med13, a known cargo of Snx4-assisted autophagy of transcription factors. In this pathway, a subset of conserved transcriptional regulators, Ssn2/Med13, Rim15, and Msn2, are selectively targeted for vacuolar proteolysis following nitrogen starvation, assisted by the sorting nexin heterodimer Snx4-Atg20. Here we show that phagophores also engulf Ksp1 alongside its cargo for vacuolar proteolysis. Ksp1 directly associates with Atg8 following nitrogen starvation at the interface of an Atg8-family interacting motif (AIM)/LC3-interacting region (LIR) in Ksp1 and the LIR/AIM docking site (LDS) in Atg8. Mutating the LDS site prevents the autophagic degradation of Ksp1. However, deletion of the C terminal canonical AIM still permitted Ssn2/Med13 proteolysis, suggesting that additional non-canonical AIMs may mediate the Ksp1-Atg8 interaction. Ksp1 is recruited to the perivacuolar phagophore assembly site by Atg29, a member of the trimeric scaffold complex. This interaction is independent of Atg8 and Snx4, suggesting that Ksp1 is recruited early to phagophores, with Snx4 delivering Ssn2/Med13 thereafter. Finally, normal cell survival following prolonged nitrogen starvation requires Ksp1. Together, these studies define a kinase-independent role for Ksp1 as an autophagic receptor protein mediating Ssn2/Med13 degradation. They also suggest that phagophores built by the trimeric scaffold complex are capable of receptor-mediated autophagy. These results demonstrate the dual functionality of Ksp1, whose kinase activity prevents autophagy while it plays a scaffolding role supporting autophagic degradation. <b>Abbreviations:</b> 3-AT: 3-aminotriazole; 17C: Atg17-Atg31-Atg29 trimeric scaffold complex; AIM: Atg8-family interacting motif; ATG: autophagy related; CKM: CDK8 kinase module; Cvt: cytoplasm-to-vacuole targeting; IDR: intrinsically disordered region; LIR: LC3-interacting region; LDS: LIR/AIM docking site; MoRF: molecular recognition feature; NPC: nuclear pore complex; PAS: phagophore assembly site; PKA: protein kinase A; RBP: RNA-binding protein; UPS: ubiquitin-proteasome system. SAA-TF: Snx4-assisted autophagy of transcription factors; Y2H: yeast two-hybrid.
DOI: 10.6084/m9.figshare.24175264
title: Ksp1 is an autophagic receptor protein for the Snx4-assisted autophagy of Ssn2/Med13

description: Ksp1 is a casein II-like kinase whose activity prevents aberrant macroautophagy/autophagy induction in nutrient-rich conditions in yeast. Here, we describe a kinase-independent role of Ksp1 as a novel autophagic receptor protein for Ssn2/Med13, a known cargo of Snx4-assisted autophagy of transcription factors. In this pathway, a subset of conserved transcriptional regulators, Ssn2/Med13, Rim15, and Msn2, are selectively targeted for vacuolar proteolysis following nitrogen starvation, assisted by the sorting nexin heterodimer Snx4-Atg20. Here we show that phagophores also engulf Ksp1 alongside its cargo for vacuolar proteolysis. Ksp1 directly associates with Atg8 following nitrogen starvation at the interface of an Atg8-family interacting motif (AIM)/LC3-interacting region (LIR) in Ksp1 and the LIR/AIM docking site (LDS) in Atg8. Mutating the LDS site prevents the autophagic degradation of Ksp1. However, deletion of the C terminal canonical AIM still permitted Ssn2/Med13 proteolysis, suggesting that additional non-canonical AIMs may mediate the Ksp1-Atg8 interaction. Ksp1 is recruited to the perivacuolar phagophore assembly site by Atg29, a member of the trimeric scaffold complex. This interaction is independent of Atg8 and Snx4, suggesting that Ksp1 is recruited early to phagophores, with Snx4 delivering Ssn2/Med13 thereafter. Finally, normal cell survival following prolonged nitrogen starvation requires Ksp1. Together, these studies define a kinase-independent role for Ksp1 as an autophagic receptor protein mediating Ssn2/Med13 degradation. They also suggest that phagophores built by the trimeric scaffold complex are capable of receptor-mediated autophagy. These results demonstrate the dual functionality of Ksp1, whose kinase activity prevents autophagy while it plays a scaffolding role supporting autophagic degradation. <b>Abbreviations:</b> 3-AT: 3-aminotriazole; 17C: Atg17-Atg31-Atg29 trimeric scaffold complex; AIM: Atg8-family interacting motif; ATG: autophagy related; CKM: CDK8 kinase module; Cvt: cytoplasm-to-vacuole targeting; IDR: intrinsically disordered region; LIR: LC3-interacting region; LDS: LIR/AIM docking site; MoRF: molecular recognition feature; NPC: nuclear pore complex; PAS: phagophore assembly site; PKA: protein kinase A; RBP: RNA-binding protein; UPS: ubiquitin-proteasome system. SAA-TF: Snx4-assisted autophagy of transcription factors; Y2H: yeast two-hybrid.
DOI: 10.5281/zenodo.10569621
title: Data_SuperSBM_QBEW

description: This data is collected by field samplings in Quanzhou Bay Estuary Wetland. A total of 20 sampling plots, each with an area of 10 × 10 m, including 4,965 mangrove trees, were measured in the field survey (March 1-5, 2023), including the height and diameter at the breast height using the wood-checking ruler method and the longitude and latitude coordinates of each sampling point were determined through GPS. It also includes the results of inverting carbon stocks using remote sensing images and assessing the safety of carbon stocks based on Super-SBM.
DOI: 10.5281/zenodo.10569622
title: Data_SuperSBM_QBEW

description: This data is collected by field samplings in Quanzhou Bay Estuary Wetland. A total of 20 sampling plots, each with an area of 10 × 10 m, including 4,965 mangrove trees, were measured in the field survey (March 1-5, 2023), including the height and diameter at the breast height using the wood-checking ruler method and the longitude and latitude coordinates of each sampling point were determined through GPS. It also includes the results of inverting carbon stocks using remote sensing images and assessing the safety of carbon stocks based on Super-SBM.
DOI: 10.17632/4jm4sdxt4c.1
title: Sociocultural factors of maternal and child morbidity and mortality, Wayuu community, jurisdiction of Nazareth, municipality of Uribía, Department of La Guajira

description: The general purpose of this study was to determine the incidence of the Wayuu people’s cosmovision and access to health care services on the increase of maternal and child morbidity and mortality in the Wayuu population located in the village of Nazaret, in the municipality of Uribia.