cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20292549
title: Datasets

description: This .zip file contains all of the datasets pertinent to this project. Names of each are specific to the attached code. <br> Files included: <strong>Folder `ir_data`</strong>: contains infrared sensor data for the control (`control_forage_data`) and heat wave chamber (`heat_forage_data`). <br> <strong>Folder `plant_data`: </strong>contains flower counts (`flower_per_trial.csv`) and nectar measurements (`gh_heatwave_nectar.csv`). <br> <strong>Folder `temp_data`: </strong>Raspberry pi temperature sensor readings from the control foraging chamber (`control_chamber_temps` folder), heat wave foraging chamber (`hot_chamber_temps` folder), and plant treatment chambers (`plantcook_temps` folder). <br> <strong>Folder `visitation_data`: </strong>contains the raw and cleaned foraging behavior/plant visitation data for each trial. <br> <strong>File `trial_data.csv`: </strong>The treatment information, time, notes, file names, etc. of each of the 40 trials. <br>
DOI: 10.5281/zenodo.6902628
title: Exoplanet imaging data challenge, phase 2

description: <strong>Datasets for the second phase of the Exoplanet Imaging Data Challenge</strong> (https://exoplanet-imaging-challenge.github.io). The second phase of the Exoplanet Imaging Data Challenge is focused on the characterisation of exoplanet signals in high-contrast imaging data. The participants must perform two tasks: provide (1) astrometry of the detected signals, and (2) spectrophotometry of the detected signals. For this phase, we therefore provide with <strong>8</strong> high-contrast data sets, taken with two integral field spectrographs: SPHERE-IFS installed at the Very Large Telescope (VLT, Chile) and GPI installed at the Gemini-South telescope (Chile). Each data set consists of the following files (in <em>.fits</em> format): (a) <em>image_cube_instxx.fits</em>: the coronagraphic multispectral image cube, acquired in pupil-stabilized mode;<br> (b) <em>parallactic_angles_instxx.fits</em>: the corresponding parallactic angle and airmass variation during the observation sequence;<br> (c) <em>wavelength_vect_instxx.fits</em>: the corresponding wavelength vector for each spectral channel;<br> (d) <em>psf_cube_instxx.fits</em>: the non-coronagraphic (point spread function) multispectral image of the target star;<br> (e) <em>first_guess_astrometry_instxx.fits</em>: a first guess position w.r.t the star of the (2 or 3) injected planetary signals. Each data set has 2 to 3 injected planetary signals in various locations.<br> Each data set has very different observing conditions, from very good to very bad. <em>Additional information and ressources can be found on the website and dedicated Github repository.</em> <em>The results of the data challenge must be submitted directly by participants on the EvalAI platform.</em>
description: On 22nd of July 2022: we modified the coronagraphic image cube *and* the psf image cube of the 'sphere2' data set because the low wind effect was not treated correctly.
DOI: 10.5281/zenodo.6476918
title: Exoplanet imaging data challenge, phase 2

description: <strong>Datasets for the second phase of the Exoplanet Imaging Data Challenge</strong> (https://exoplanet-imaging-challenge.github.io). The second phase of the Exoplanet Imaging Data Challenge is focused on the characterisation of exoplanet signals in high-contrast imaging data. The participants must perform two tasks: provide (1) astrometry of the detected signals, and (2) spectrophotometry of the detected signals. For this phase, we therefore provide with <strong>8</strong> high-contrast data sets, taken with two integral field spectrographs: SPHERE-IFS installed at the Very Large Telescope (VLT, Chile) and GPI installed at the Gemini-South telescope (Chile). Each data set consists of the following files (in <em>.fits</em> format): (a) <em>image_cube_instxx.fits</em>: the coronagraphic multispectral image cube, acquired in pupil-stabilized mode;<br> (b) <em>parallactic_angles_instxx.fits</em>: the corresponding parallactic angle and airmass variation during the observation sequence;<br> (c) <em>wavelength_vect_instxx.fits</em>: the corresponding wavelength vector for each spectral channel;<br> (d) <em>psf_cube_instxx.fits</em>: the non-coronagraphic (point spread function) multispectral image of the target star;<br> (e) <em>first_guess_astrometry_instxx.fits</em>: a first guess position w.r.t the star of the (2 or 3) injected planetary signals. Each data set has 2 to 3 injected planetary signals in various locations.<br> Each data set has very different observing conditions, from very good to very bad. <em>Additional information and ressources can be found on the website and dedicated Github repository.</em> <em>The results of the data challenge must be submitted directly by participants on the EvalAI platform.</em>
description: On 22nd of July 2022: we modified the coronagraphic image cube *and* the psf image cube of the 'sphere2' data set because the low wind effect was not treated correctly.
DOI: 10.7916/d8-tjw8-wc41
title:  Data: Summertime Transport Pathways and Dynamics from Northern India to the Lower Stratosphere: Insights from Idealized Tracer Experiments, version 1

description: We use the idealized tracer experiments and investigate the summertime transport from the surface region of northern India and the southern slope of the Tibetan Plateau to the lower stratosphere. It's found that the transport, compared to other surrounding regions, has an overall younger modal age in the northern lower stratosphere away from the tropopause. Analysis of the tracer budget reveals that the tracer is transported to the tropical lower stratosphere rapidly in the first 5 days due to vertical eddy transport and afterwards in a month or two advection associated with the Brewer-Dobson circulation. Meanwhile the tracer is also transported to the northern extratropical lower stratosphere in the first three months due to horizontal eddy mixing. The results highlight the uniqueness of the northern India region in the summertime transport to the lower stratosphere and implications for the transport of short-lived chemical species in the destruction of stratospheric ozone.
DOI: 10.25919/vqdr-yb52
title: Parkes observations for project P1145 semester 2022APRS_06

description: Pulsar surveys find pulsars, but follow-up observations are crucial to establish the nature of the pulsars, including their spin-down rate, their magnetic field strength, their polarization properties and whether they are part of a binary system and therefore potentially interesting for further study. We aim to determine timing solutions for 26 pulsars discovered at Parkes but which have not been observed since their discovery.
DOI: 10.6084/m9.figshare.20369052
title: Pfeifer_et_al_2022_PhilTransRoySocB_Data_andRscript

description: R script that has been used to generate (1) summary stats for Tables and (2) Figures for main text and supporting information. For Pfeifer et al. 2022 A systems approach framework for evaluating tree restoration interventions for social and ecological outcomes in rural tropical landscapes. Philosophical Transactions Royal Society B. Figure 2 map data: LS_2019_Fcover_RF_UTM37S.tif = Tree canopy closure in %. Settlements_needunzip = Shapefile for settlements. Roads_needunzip = Shapefile for roads. Rivers_needunzip = Shapefile for rivers/creeks. Figure 5: ProtectedAreas_Needunzip.zip = Shapefiles for PAs shown on map. High_risk_conflict_change.tif = Change in high risk of conflict locations in landscape. Figure S1: Plot_locations_needunzip.zip - location data for ecological surveys. Household survey loctations can not be shared for data protection issues.
DOI: 10.7916/d8-ar2d-3f14
title:  GIS Data for Spring 2016 Historic Preservation Studio

description: GIS data used for Spring 2016 Historic Preservation studio titled, “A Study of Brooklyn's Cobble Hill and Boerum Hill Neighborhoods," at the Columbia Graduate School of Architecture, Planning, and Preservation. Includes shapefiles for building lots, soft sites, historic districts, and modified MapPLUTO data with corrected year built fields.
DOI: 10.5281/zenodo.6901142
title: THREE-DIMENSIONAL VOLUMETRIC EVALUATION OF ROOT RESORPTION IN MAXILLARY ANTERIORS FOLLOWING EN-MASSE RETRACTION WITH VARYING FORCE VECTORS - A RANDOMIZED CONTROL TRIAL

description: To assess the severity of root resorption (RR) during retraction of maxillary anteriors with and without skeletal anchorage (three different force systems); and analyze it comprehensively using cone-beam computed tomography (CBCT) superimpositions.
DOI: 10.5281/zenodo.6901141
title: THREE-DIMENSIONAL VOLUMETRIC EVALUATION OF ROOT RESORPTION IN MAXILLARY ANTERIORS FOLLOWING EN-MASSE RETRACTION WITH VARYING FORCE VECTORS - A RANDOMIZED CONTROL TRIAL

description: To assess the severity of root resorption (RR) during retraction of maxillary anteriors with and without skeletal anchorage (three different force systems); and analyze it comprehensively using cone-beam computed tomography (CBCT) superimpositions.
DOI: 10.21942/uva.16615975
title: Dependence in Financial and High-dimensional Time Series

description: PhD thesis Hao Li
DOI: 10.21942/uva.16615975.v1
title: Dependence in Financial and High-dimensional Time Series

description: PhD thesis Hao Li
DOI: 10.6084/m9.figshare.19358120
title: KVH_AGU_public_data.xlsx

description: This dataset includes the leaf wax <i>n</i>-alkanoic acid and<i> n</i>-alkane abundances of modern plants, soils, lake water filtrates, and lake sediments collected from a small Arctic lake catchment on southeastern Baffin Island. This dataset also includes the <i>n</i>-alkanoic acid δ<sup>2</sup>H and δ<sup>13</sup>C values of a select group of plant and sedimentary samples from the same site.
DOI: 10.5281/zenodo.6885455
title: Diving into the vertical dimension of elasmobranch movement ecology

description: Knowledge of the three-dimensional movement patterns of elasmobranchs is vital to understanding their ecological roles and exposure to anthropogenic pressures. To date, comparative studies among species at global scales have mostly focused on horizontal movements. Our study addresses the knowledge gap of vertical movements by compiling the first global synthesis of vertical habitat use by elasmobranchs from data obtained by deployment of 989 biotelemetry tags on 38 elasmobranch species. Elasmobranchs displayed high intra- and interspecific variability in vertical movement patterns. Significant vertical overlap was observed for many epipelagic elasmobranchs, indicating an increased likelihood to display spatial overlap, biologically interact, and share similar risk to anthropogenic threats that vary on a vertical gradient. We highlight the critical next steps towards incorporating vertical movement into global management and monitoring strategies for elasmobranchs, emphasising the need to address geographic and taxonomic biases in deployments and to concurrently consider both horizontal and vertical movements.
DOI: 10.5281/zenodo.6611026
title: Diving into the vertical dimension of elasmobranch movement ecology

description: Knowledge of the three-dimensional movement patterns of elasmobranchs is vital to understanding their ecological roles and exposure to anthropogenic pressures. To date, comparative studies among species at global scales have mostly focused on horizontal movements. Our study addresses the knowledge gap of vertical movements by compiling the first global synthesis of vertical habitat use by elasmobranchs from data obtained by deployment of 989 biotelemetry tags on 38 elasmobranch species. Elasmobranchs displayed high intra- and interspecific variability in vertical movement patterns. Significant vertical overlap was observed for many epipelagic elasmobranchs, indicating an increased likelihood to display spatial overlap, biologically interact, and share similar risk to anthropogenic threats that vary on a vertical gradient. We highlight the critical next steps towards incorporating vertical movement into global management and monitoring strategies for elasmobranchs, emphasising the need to address geographic and taxonomic biases in deployments and to concurrently consider both horizontal and vertical movements.
DOI: 10.57899/4yjq-h434
title: Multivariate Sensor Dataset of an Industrial Rotogravure Printing Press (MSDIRPP)

description: We present a multivariate sensor dataset for machine learning research in context of industrial print application. The dataset contains 7608 rolls of pre-processed multivariate sensor data of a single production scale rotogravure printing press. The data volume corresponds to 43.181 km of printed paperboard and paper. For each roll we provide high-resolution sampled inline sensor data, machine condition labels and several meta information. Besides basic information like machine speed the dataset contains web movement data such as web edge and web tension measurements, material measurement like web moisture and print quality data such as register measurements in cross and machine direction for 11 print units. We publish the dataset to provide data researchers a strong baseline dataset for several applications in industrial printing.
DOI: 10.6084/m9.figshare.20369277.v1
title: Annotations

description: Here are the annotations for the draft genome described
DOI: 10.6084/m9.figshare.20369277
title: Annotations

description: Here are the annotations for the draft genome described
DOI: 10.6084/m9.figshare.20369268
title: Depression and anxiety dataset

description: Depression and anxiety among medical students in Nepal
DOI: 10.5519/qd.53vfjth0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2525 records)
DOI: 10.5281/zenodo.6884010
title: On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model: Article Data

description: NetCDF datatset of presented results from the publication titled "On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model" in the Journal of Geophysical Research - Atmospheres, Paper #2021JD036214R.
DOI: 10.15139/s3/o9kygb
title: Data for Placental miRNAs associate with early childhood growth characteristics

description: Poor placental function is a common cause of intrauterine growth restriction and is associated with perinatal morbidity, mortality and long-term health outcomes. Our prior work suggests that birthweight and childhood obesity-associated genetic variants functionally impact placental function and that placental miRNA are associated with birthweight. To address the role of placenta in developmental programming beyond birth, we assessed the role of placental miRNAs in early childhood growth. We estimated growth intensity and average size between birth and five years of age using weight measures collected from children in the New Hampshire Birth Cohort Study (NHBCS). Using negative binomial generalized linear models, we identified five placental miRNAs that associate with growth intensity and one miRNA with average size (FDR0.05), while accounting for sex, gestational age at birth, and maternal parity. Genes targeted by growth trajectory-associated miRNAs are enriched (FDR0.02) in growth factor signaling (TGF/beta: miR-1290; EGF/R: miR-155, Let-7c; FGF/R: miR-155; IGF/R: Let-7c, miR-155, miR-1290), cyclic AMP signaling (miR-1246), calmodulin signaling (miR-216a, miR-1246), and NOTCH signaling (miR-629). These pathways function in placental proliferation, differentiation and function. Our results support the hypothesis that fetal environment, specifically placental cellular dynamics and function guided by miRNA expression, can have impacts beyond birth, into early childhood.
DOI: 10.5066/p9rcwzph
title: Microbial community analyses of groundwater collected during an enhanced bioremediation experiment of trichlorethylene in a fractured rock aquifer, West Trenton, NJ (2008-2015)

description: These datasets contain microbial community data from groundwater samples collected at an in situ bioremediation site located at the former Naval Air Warfare Center (NAWC), West Trenton, NJ. DNA was extracted from groundwater samples collected from monitoring wells at the NAWC study site from July 2008 through July 2015 and analyzed for microbial community structure. Sample collection coincided with a groundwater bioremediation experiment investigating the microbial degradation of the contaminant trichloroethylene (TCE) prevalent in the targeted region of the aquifer. Nutrient addition and a microbial consortium, commercially developed to stimulate the degradation of TCE and TCE byproducts, was introduced to the contaminated groundwater on October 15, 2008. This data release contains microbial community data including taxonomy, alpha, and beta diversity from next-generation sequencing of the V4 region of 16S rRNA from groundwater samples collected during the 7-year observation period. A further discussion and interpretation of the data is presented by Underwood et al. (Manuscript in progress). Underwood, J.C., Akob, D.M. , Lorah, M.M., Imbrigiotta, T.E., Harvey, R.W, Tiedeman, C.R., Microbial Community Response to an Enhanced Bioremediation Experiment of Trichlorethylene in a Fractured Rock Aquifer, Trenton, N.J. Manuscript in progress.
DOI: 10.6084/m9.figshare.20369262
title: S_tragus_fastQ169

description: fastQ files for individuals at site 169, 3 fastQ per individual. Larger two are the paired end reads and the smaller one is reads that could not be assigned to an end.
DOI: 10.6084/m9.figshare.20369262.v1
title: S_tragus_fastQ169

description: fastQ files for individuals at site 169, 3 fastQ per individual. Larger two are the paired end reads and the smaller one is reads that could not be assigned to an end.
DOI: 10.6084/m9.figshare.20368068
title: Appendix 1: The interview guide for "Determinants of adherence to insulin and blood glucose monitoring among adolescents and young adults with type 1 diabetes in Qatar: a qualitative study"

description: The interview guide used in the semi-structured interviews for "Determinants of adherence to insulin and blood glucose monitoring among adolescents and young adults with type 1 diabetes in Qatar: a qualitative study." The guide is based on the I-Change theoretical model developed by Hein de Vries. An integrated approach for understanding health behavior; the I-change model as an example. Psychol Behav Sci Int J. 2017;2(2):555-85. https://doi.org/10.19080/PBSIJ.2017.02.555585.
DOI: 10.6084/m9.figshare.20368068.v1
title: Appendix 1. The interview guide Item

description: The interview guide used in the semi-structured interviews for "Determinants of adherence to insulin and blood glucose monitoring among adolescents and young adults with type 1 diabetes in Qatar: a qualitative study." The guide is based on the I-Change theoretical model developed by Hein de Vries. An integrated approach for understanding health behavior; the I-change model as an example. Psychol Behav Sci Int J. 2017;2(2):555-85. https://doi.org/10.19080/PBSIJ.2017.02.555585.
DOI: 10.6084/m9.figshare.20369274
title: RESEARCH QUESTIONNAIRE and DATA ER EO & JP.docx

description: Questionnaire and dataset of thesis
DOI: 10.6084/m9.figshare.20369274.v2
title: RESEARCH QUESTIONNAIRE and DATA ER EO & JP.docx

description: Questionnaire and dataset of thesis
DOI: 10.6084/m9.figshare.20369274.v1
title: RESEARCH QUESTIONNAIRE and DATA.docx

description: Questionnaire and dataset of thesis
DOI: 10.25824/redu/t4myly
title: input.in

description: input parameters
DOI: 10.25824/redu/y83no5
title: seed.in

description: seed for random number generator
DOI: 10.25824/redu/nycgab
title: time-travelCL-loop-n-table.f90

description: Moves back in time to create tree at previous times.
DOI: 10.25824/redu/rr0qmv
title: topobar-ext11-loop-n.f90

description: Main code to generate time evolution of the population. Reads input data from input.in and uses seed.in and forbiden-sites.in.
DOI: 10.25824/redu/bmctix
title: forbiden-sites.in

description: list of forbidden sites in the area (not used in the paper).
DOI: 10.25824/redu/68cfm4
title: treestatplot-loop-nnCL-table.f90

description: Reads data generated by topobar and constructs the phylogenetic tree.
DOI: 10.25824/redu/qx38fh
title: Extinction and hybridization in a neutral model of speciation

description: Fortran codes to generate data used in the article "Extinction and hybridization in a neutral model of speciation".
DOI: 10.14469/hpc/6706
title: CN(+) Quintet CASSCF(8,8, Nroot=2)/Def2QZVPP alter 7 9 C=N stretch 1602, G = -91.659206 with Natural orbitals

description: Gaussian Calculation
DOI: 10.14469/hpc/6707
title: NN(2+) Quintet CASSCF(8,8, Nroot=2)/Def2QZVPP alter 5 9 N=N stretch 1616 G -107.399449 with Natural orbitals

description: Gaussian Calculation
DOI: 10.14469/hpc/6711
title: C2 Quintet CASSCF(8,8, Nroot=1)/Def2QZVPP alter 8 10 5Su G = -75.515111 C=C stretching wavenumber = 980 cm-1

description: Gaussian Calculation
DOI: 10.14469/hpc/6712
title: C2 Quintet CASSCF(8,8, Nroot=3)/Def2QZVPP alter 7 9 4 9 5Sg 1532 G = -75.386467

description: Gaussian Calculation
DOI: 10.6084/m9.figshare.17096746
title: Spatial Confounding in Generalized Estimating Equations

description: Spatial confounding, where the inclusion of a spatial random effect introduces multicollinearity with spatially structured covariates, is a contentious and active area of research in spatial statistics. However, the majority of research into this topic has focused on the case of spatial mixed models. In this article, we demonstrate that spatial confounding can also arise in the setting of generalized estimating equations (GEEs). The phenomenon occurs when a spatially structured working correlation matrix is used, as it effectively induces a spatial effect which may exhibit collinearity with the covariates in the marginal mean. As a result, the GEE ends up estimating a so-called unpartitioned effect of the covariates. To overcome spatial confounding, we propose a restricted spatial working correlation matrix that leads the GEE to instead estimate a partitioned covariate effect, which additionally captures the portion of spatial variability in the response spanned by the column space of the covariates. We also examine the construction of sandwich-based standard errors, showing that the issue of efficiency is tied to whether the working correlation matrix aligns with the target effect of interest. We conclude by highlighting the need for practitioners to make clear the assumptions and target of interest when applying GEEs in a spatial setting, and not simply rely on the robustness property of GEEs to misspecification of the working correlation matrix.