cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13056143.v2
title: Learning When-to-Treat Policies

description: Many applied decision-making problems have a dynamic component: The policymaker needs not only to choose whom to treat, but also when to start which treatment. For example, a medical doctor may choose between postponing treatment (watchful waiting) and prescribing one of several available treatments during the many visits from a patient. We develop an “advantage doubly robust” estimator for learning such dynamic treatment rules using observational data under the assumption of sequential ignorability. We prove welfare regret bounds that generalize results for doubly robust learning in the single-step setting, and show promising empirical performance in several different contexts. Our approach is practical for policy optimization, and does not need any structural (e.g., Markovian) assumptions. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.12118581.v3
title: Robust Q-Learning

description: <i>Abstract–</i>Q-learning is a regression-based approach that is widely used to formalize the development of an optimal dynamic treatment strategy. Finite dimensional working models are typically used to estimate certain nuisance parameters, and misspecification of these working models can result in residual confounding and/or efficiency loss. We propose a robust Q-learning approach which allows estimating such nuisance parameters using data-adaptive techniques. We study the asymptotic behavior of our estimators and provide simulation studies that highlight the need for and usefulness of the proposed method in practice. We use the data from the “Extending Treatment Effectiveness of Naltrexone” multistage randomized trial to illustrate our proposed methods. Supplementary materials for this article are available online.
DOI: 10.6073/pasta/293faff7ed2e287b56e85796c87c3e4b
title: Linking temporal changes in species composition and biomass in a globally distributed grassland experiment: The Nutrient Network

description: Global change drivers, such as anthropogenic nutrient inputs, are increasing globally. Nutrient deposition simultaneously alters plant biodiversity, species composition, and ecosystem processes like aboveground biomass production. These changes are underpinned by species extinction, colonization, and shifting relative abundance. Here, we use the Price equation to quantify and link the contributions of species that are lost, gained, or that persist to change in aboveground biomass in 59 experimental grassland sites. Under ambient (control) conditions, compositional and biomass turnover was high, and losses (i.e., local extinctions) were balanced by gains (i.e. colonization). Under fertilization, the decline in species richness resulted from increased species loss and from decreases in species gained. Biomass increase under fertilization resulted mostly from species that persist, and to a lesser extent from species gained. Drivers of ecological change can interact relatively independently with diversity, composition, and ecosystem processes and functions such as aboveground biomass due to the individual contributions of species lost, gained, or persisting.
DOI: 10.6073/pasta/b3df784794b96ec8e736f35640a18db7
title: Long-term fish abundance data for Wisconsin Lakes Department of Natural Resources and North Temperate Lakes LTER 1944 - 2012 (Reformatted to the ecocomDP Design Pattern)

description: This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/356/3. The abstract below was extracted from the Level 0 data package and is included for context: This dataset describes long-term (1944-2012) variations in the relative abundance of fish populations representing nine species in Wisconsin lakes. Data were collected by Wisconsin Department of Natural Resource fisheries biologists as part of routine lake fisheries assessments. Individual survey methodologies varied over space and time and are described in more detail by Rypel, A. et al., 2016. Seventy-Year Retrospective on Size-Structure Changes in the Recreational Fisheries of Wisconsin. Fisheries, 41, pp.230-243. Available at: http://afs.tandfonline.com/doi/abs/10.1080/03632415.2016.1160894
DOI: 10.5517/ccdc.csd.cc2cps62
title: CCDC 2195674: Experimental Crystal Structure Determination

description: Related Article: Zhuanling Bai, Benjamin Scheibe, Joseph M. Sperling, Thomas E. Albrecht-Schönzart|2022|Inorg.Chem.|61|19193|doi:10.1021/acs.inorgchem.2c02840
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cps73
title: CCDC 2195675: Experimental Crystal Structure Determination

description: Related Article: Zhuanling Bai, Benjamin Scheibe, Joseph M. Sperling, Thomas E. Albrecht-Schönzart|2022|Inorg.Chem.|61|19193|doi:10.1021/acs.inorgchem.2c02840
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cpxkk
title: CCDC 2195809: Experimental Crystal Structure Determination

description: Related Article: Diana Temerova, Tai-Che Chou, Kristina S. Kisel, Toni Eskelinen, Niko Kinnunen, Janne Jänis, Antti J. Karttunen, Pi-Tai Chou, Igor O. Koshevoy|2022|Inorg.Chem.|61|19220|doi:10.1021/acs.inorgchem.2c02867
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cpxll
title: CCDC 2195810: Experimental Crystal Structure Determination

description: Related Article: Diana Temerova, Tai-Che Chou, Kristina S. Kisel, Toni Eskelinen, Niko Kinnunen, Janne Jänis, Antti J. Karttunen, Pi-Tai Chou, Igor O. Koshevoy|2022|Inorg.Chem.|61|19220|doi:10.1021/acs.inorgchem.2c02867
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cy4k1
title: CCDC 2202753: Experimental Crystal Structure Determination

description: Related Article: Peinan Fu|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cyk96
title: CCDC 2203148: Experimental Crystal Structure Determination

description: Related Article: Ivan Brito|2022|CSD Communication|||
description: Related Article: Efraín Polo-Cuadrado, Cristian Rojas-Peña, Karen Acosta-Quiroga, Lorena Camargo-Ayala, Iván Brito, Jonathan Cisterna, Félix Moncada, Jorge Trilleras, Yeray A. Rodríguez-Núñez, Margarita Gutierrez|2022|RSC Advances|12|33032|doi:10.1039/D2RA05532E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cykyv
title: CCDC 2203168: Experimental Crystal Structure Determination

description: Related Article: Harmeet Bhoday, Justin Nulsen, Steven P. Kelley, Rainer Glaser|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6073/pasta/606b9e1b4bf342d4664050afffd185b1
title: North Temperate Lakes LTER Processed eddy covariance time series fluxes from tower located on roof of the CFL building oriented toward Lake Mendota 2012 - current

description: We calculated eddy covariance based fluxes of CO2, H2O, heat, and momentum to study lake-atmosphere exchanges since 2012. These data were collected by Ankur Desai from 2012 to present using a CSAT-3 sonic anemometer and LI-7500 gas analyzer located on the roof of the CFL building. A footprint model (Kljun) was used to screen for lake only data.
DOI: 10.5281/zenodo.7415634
title: Selectivity of Bacillus thuringiensis (Bacillales: Bacillaceae) to the polyphagous predator Ceraeochrysa claveri (Navás, 1911) (Neuroptera: Chrysopidae)

description: Data referring to the selectivity analysis of the bioinsecticide Agree, on the biological controller of pest arthropods, Ceraeochrysa claveri. <pre> </pre>
DOI: 10.5281/zenodo.7415633
title: Selectivity of Bacillus thuringiensis (Bacillales: Bacillaceae) to the polyphagous predator Ceraeochrysa claveri (Navás, 1911) (Neuroptera: Chrysopidae)

description: Data referring to the selectivity analysis of the bioinsecticide Agree, on the biological controller of pest arthropods, Ceraeochrysa claveri. <pre> </pre>
DOI: 10.5281/zenodo.7415652
title: Combinatorial Barcode Scripts for the manuscript 'Scalable Combinatorial Synthesis of Synthetic DNA Barcode Sequences'

description: Raw data and custom Python code for the manuscript 'Scalable Combinatorial Synthesis of Synthetic DNA Barcode Sequences'.
DOI: 10.5281/zenodo.7415651
title: Combinatorial Barcode Scripts for the manuscript 'Scalable Combinatorial Synthesis of Synthetic DNA Barcode Sequences'

description: Raw data and custom Python code for the manuscript 'Scalable Combinatorial Synthesis of Synthetic DNA Barcode Sequences'.
DOI: 10.5281/zenodo.7411563
title: COJO ARG variants from "Biobank-scale inference of ancestral recombination graphs enables genealogical analysis of complex traits"

description: These are COJO ARG variants accompanying the manuscript "Biobank-scale inference of ancestral recombination graphs enables genealogical analysis of complex traits". For more details, view the README.md file and refer to our manuscript.
DOI: 10.5281/zenodo.7411562
title: COJO ARG variants from "Biobank-scale inference of ancestral recombination graphs enables genealogical analysis of complex traits"

description: These are COJO ARG variants accompanying the manuscript "Biobank-scale inference of ancestral recombination graphs enables genealogical analysis of complex traits". For more details, view the README.md file and refer to our manuscript.
DOI: 10.6073/pasta/a0cf76afea574132e1648ffb132bd3ee
title: North Temperate Lakes LTER General Lake Model Parameter Set for Lake Mendota, Summer 2016 Calibration

description: The General Lake Model (GLM), an open source, one-dimensional hydrodynamic model, was used to simulate various physical, chemical, and biological variables on Lake Mendota between 15 April 2016 and 11 November 2016. GLM (v.2.1.8) was coupled to the Aquatic EcoDynamics (AED) module library via the Framework for Aquatic Biogeochemical Modeling (FABM). GLM-AED requires four major â€œscriptsâ€ to run the model. First, the glm2.nml file configures lake metadata, meteorological driver data, stream inflow and outflow driver data, and physical response variables. Second, the aed2.nml file configures various biogeochemical modules for the simulation of oxygen, carbon, phosphorus, and nitrogen, among others. Third, aed2_phyto_pars.nml configures all parameters pertaining to phytoplankton dynamics. And fourth, aed2_zoop_pars.nml configures all parameters pertaining to zooplankton dynamics. This dataset contains parameter descriptions and values as they were used to simulate organic carbon and greenhouse gas production on Lake Mendota in summer 2016. Meteorological data and stream files used in this calibration are also included in this dataset. Additional methods and model descriptions can be found in J.A. hartâ€™s Masters Thesis, University of Wisconsin-Madison Center for Limnology, May 2017. Readers are referred to the GLM (Hipsey et al. 2014) and AED (Hipsey et al. 2013) science manuals for further details on model configuration.
DOI: 10.6084/m9.figshare.21339092
title: Use of isotopes in examining precipitation patterns in north-central Ukraine

description: North-central Ukraine is vulnerable to temperature increases and precipitation pattern changes associated with climate change. With water management becoming increasingly important, information on current water sources and moisture recycling is critically needed. Isotope ratios of oxygen (<i>δ</i><sup>18</sup>O) and hydrogen (<i>δ</i><sup>2</sup>H) in precipitation are sensitive to these variables and allow comparisons across the region. The <i>δ</i><sup>2</sup>H and <i>δ</i><sup>18</sup>O values from collected precipitation in Kyiv and Cherkasy in 2020 and published <sup>3</sup>H data for Kyiv from the year 2000 show an influence of the North Atlantic Oscillation (NAO) and provide information about processes affecting precipitation along the storm trajectory. The <i>δ</i><sup>18</sup>O values also show a correlation with temperature, indicating that precipitation patterns may be affected by the rising temperatures in the region, as predicted by recent regional studies using Representative Concentration Pathway scenarios and the global climate model GFDL-ESM2M. When compared to backtracked storm trajectory and NAO data, clear relationships emerged between water isotope ratios, storm paths, and likely moisture recycling. Overall, <i>δ</i><sup>2</sup>H, <i>δ</i><sup>18</sup>O, <sup>3</sup>H, and backtracked storm trajectory data provide more regional and local information on water vapour processes, improving climate-change-driven precipitation forecasts in Ukraine.
DOI: 10.6084/m9.figshare.21339092.v1
title: Use of isotopes in examining precipitation patterns in north-central Ukraine

description: North-central Ukraine is vulnerable to temperature increases and precipitation pattern changes associated with climate change. With water management becoming increasingly important, information on current water sources and moisture recycling is critically needed. Isotope ratios of oxygen (<i>δ</i><sup>18</sup>O) and hydrogen (<i>δ</i><sup>2</sup>H) in precipitation are sensitive to these variables and allow comparisons across the region. The <i>δ</i><sup>2</sup>H and <i>δ</i><sup>18</sup>O values from collected precipitation in Kyiv and Cherkasy in 2020 and published <sup>3</sup>H data for Kyiv from the year 2000 show an influence of the North Atlantic Oscillation (NAO) and provide information about processes affecting precipitation along the storm trajectory. The <i>δ</i><sup>18</sup>O values also show a correlation with temperature, indicating that precipitation patterns may be affected by the rising temperatures in the region, as predicted by recent regional studies using Representative Concentration Pathway scenarios and the global climate model GFDL-ESM2M. When compared to backtracked storm trajectory and NAO data, clear relationships emerged between water isotope ratios, storm paths, and likely moisture recycling. Overall, <i>δ</i><sup>2</sup>H, <i>δ</i><sup>18</sup>O, <sup>3</sup>H, and backtracked storm trajectory data provide more regional and local information on water vapour processes, improving climate-change-driven precipitation forecasts in Ukraine.
DOI: 10.6073/pasta/dffd765d08a0fc8112be28a8d7fcf135
title: Microbial Observatory at North Temperate Lakes LTER High-resolution temporal and spatial dynamics of microbial community structure in freshwater bog lakes 2005 - 2009 original format

description: The North Temperate Lakes - Microbial Observatory seeks to study freshwater microbes over long time scales (10+ years). Observing microbial communities over multiple years using DNA sequencing allows in-depth assessment of diversity, variability, gene content, and seasonal/annual drivers of community composition. Combining information obtained from DNA sequencing with additional experiments, such as investigating the biochemical properties of specific compounds, gene expression, or nutrient concentrations, provides insight into the functions of microbial taxa. Our 16S rRNA gene amplicon datasets were collected from bog lakes in Vilas County, WI, and from Lake Mendota in Madison, WI. Ribosomal RNA gene amplicon sequencing of freshwater environmental DNA was performed on samples from Crystal Bog, North Sparkling Bog, West Sparkling Bog, Trout Bog, South Sparkling Bog, Hell’s Kitchen, and Mary Lake. These microbial time series are valuable both for microbial ecologists seeking to understand the properties of microbial communities and for ecologists seeking to better understand how microbes contribute to ecosystem functioning in freshwater.
DOI: 10.18739/a2q52ff2b
title: Gridded estimates of aboveground biomass by plant functional type within Alaska and Yukon, 1985-2020
DOI: 10.22002/yfn7a-90x53
title: PRIMELT3-P primary magma solutions for lavas from Hawaii and Iceland.

description: Basalt analyses from Hawaii and Iceland and their primary magma solutions from PRIMELT3-P.
DOI: 10.5281/zenodo.7415691
title: Impacts of tectonic subsidence on basin depth and delta lobe building

description: Data here include: Selenga Delta shoreline coordinates from 1862-2019 and a NWOF map Bathymetry data of Lake Baikal, Proval and Cherkalovo Bays. shapefiles of Selenga Delta channel network and avulsion
DOI: 10.5281/zenodo.7415690
title: Impacts of tectonic subsidence on basin depth and delta lobe building

description: Data here include: Selenga Delta shoreline coordinates from 1862-2019 and a NWOF map Bathymetry data of Lake Baikal, Proval and Cherkalovo Bays. shapefiles of Selenga Delta channel network and avulsion
DOI: 10.18112/openneuro.ds004346.v1.0.1
title: FLUX: A pipeline for MEG analysis
DOI: 10.5281/zenodo.7415693
title: Bias-corrected data from the preoperational MiKlip system for decadal climate predictions used in the PNRA-IPSODES project

description: This dataset contains a selection of bias-corrected data from the preoperational MiKlip system for decadal climate predictions (Mueller et al., 2018) used within the Italian research project PNRA18_00199-IPSODES. The adopted method for bias correction is described in the file bias_correction.pdf. Also data from the assimilation run are provided. Nomenclature of variables follows that of the original MiKlip output. Mueller, W., et al. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). J. Adv. Model. Earth Syst. 10, 1383-1413 (2018)
DOI: 10.5281/zenodo.7415692
title: Bias-corrected data from the preoperational MiKlip system for decadal climate predictions used in the PNRA-IPSODES project

description: This dataset contains a selection of bias-corrected data from the preoperational MiKlip system for decadal climate predictions (Mueller et al., 2018) used within the Italian research project PNRA18_00199-IPSODES. The adopted method for bias correction is described in the file bias_correction.pdf. Also data from the assimilation run are provided. Nomenclature of variables follows that of the original MiKlip output. Mueller, W., et al. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). J. Adv. Model. Earth Syst. 10, 1383-1413 (2018)
DOI: 10.18119/n9tk50
title: 1. Psoriasis-regulated 95th %ile
DOI: 10.5281/zenodo.7384734
title: Symmetry_Dataset

description: This is the symmetry dataset generated based on a concept called wallpaper group. There are 17 categories of symmetry which is well labelled in the hdf5 file dataset.
DOI: 10.5281/zenodo.7384733
title: Symmetry_Dataset

description: This is the symmetry dataset generated based on a concept called wallpaper group. There are 17 categories of symmetry which is well labelled in the hdf5 file dataset.
DOI: 10.18119/n9pw33
title: 3. IXE-regulated 95th %ile
DOI: 10.48324/dandi.000398/0.221208.1803
title: Scalable Thousand Channel Penetrating Microneedle Arrays on Flex for Multimodal and Large Area Coverage BrainMachine Interfaces

description: The Utah array powers cutting-edge projects for restoration of neurological function, such as BrainGate, but the underlying electrode technology has itself advanced little in the last three decades. Here, advanced dual-side lithographic microfabrication processes is exploited to demonstrate a 1024-channel penetrating silicon microneedle array (SiMNA) that is scalable in its recording capabilities and cortical coverage and is suitable for clinical translation. The SiMNA is the first penetrating microneedle array with a flexible backing that affords compliancy to brain movements. In addition, the SiMNA is optically transparent permitting simultaneous optical and electrophysiological interrogation of neuronal activity. The SiMNA is used to demonstrate reliable recordings of spontaneous and evoked field potentials and of single unit activity in chronically implanted mice for up to 196 days in response to optogenetic and to whisker air-puff stimuli. Significantly, the 1024-channel SiMNA establishes detailed spatiotemporal mapping of broadband brain activity in rats. This novel scalable and biocompatible SiMNA with its multimodal capability and sensitivity to broadband brain activity will accelerate the progress in fundamental neurophysiological investigations and establishes a new milestone for penetrating and large area coverage microelectrode arrays for brain–machine interfaces.
DOI: 10.5517/ccdc.csd.cc2bhkcs
title: CCDC 2159905: Experimental Crystal Structure Determination

description: Related Article: Xuan Feng, Wenying Li, Lei Yang, Ting Song, Zhaoming Xia, Qiuxue Lai, Xuemei Zhou, Hai Xiao, Chong Liu|2022|Chem.Commun.|58|13503|doi:10.1039/D2CC05189C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d3b2y
title: CCDC 2207729: Experimental Crystal Structure Determination

description: Related Article: María Murillo, Javier Álvarez-Conde, Reinhold Wannemacher, Juan Cabanillas-González, Javier González-Platas, Ulises R. Rodríguez-Mendoza, Akun Liang, Robin Turnbull, Daniel Errandonea, Jose Ignacio Martínez, Pilar Amo-Ochoa|2022|J.Mater.Chem.C|10|18004|doi:10.1039/D2TC04127H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.