cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24069464
title: Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions

description: Causal inference for extreme events has many potential applications in fields such as climate science, medicine and economics. We study the extremal quantile treatment effect of a binary treatment on a continuous, heavy-tailed outcome. Existing methods are limited to the case where the quantile of interest is within the range of the observations. For applications in risk assessment, however, the most relevant cases relate to extremal quantiles that go beyond the data range. We introduce an estimator of the extremal quantile treatment effect that relies on asymptotic tail approximation, and use a new causal Hill estimator for the extreme value indices of potential outcome distributions. We establish asymptotic normality of the estimators and propose a consistent variance estimator to achieve valid statistical inference. We illustrate the performance of our method in simulation studies, and apply it to a real data set to estimate the extremal quantile treatment effect of college education on wage.
DOI: 10.6084/m9.figshare.24069464.v1
title: Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions

description: Causal inference for extreme events has many potential applications in fields such as climate science, medicine and economics. We study the extremal quantile treatment effect of a binary treatment on a continuous, heavy-tailed outcome. Existing methods are limited to the case where the quantile of interest is within the range of the observations. For applications in risk assessment, however, the most relevant cases relate to extremal quantiles that go beyond the data range. We introduce an estimator of the extremal quantile treatment effect that relies on asymptotic tail approximation, and use a new causal Hill estimator for the extreme value indices of potential outcome distributions. We establish asymptotic normality of the estimators and propose a consistent variance estimator to achieve valid statistical inference. We illustrate the performance of our method in simulation studies, and apply it to a real data set to estimate the extremal quantile treatment effect of college education on wage.
DOI: 10.26093/cds/vizier.36720181
title: Early-type stars DIB in optical and infrared

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'A high-resolution study of near-IR diffuse interstellar bands, search for small-scale structure, time variability, and stellar features.' (bibcode: 2023A&A...672A.181S)
DOI: 10.6084/m9.figshare.3761562.v2694
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.24069492
title: HTML file

description: HTML output from markdown file used for statistical analysis.<br>
DOI: 10.5281/zenodo.8306724
title: Gradients 5 - LISST DEEP Profiles

description: This dataset was collected on the R/V Thompson during the Gradients V cruise which departed from San Diego, CA and ended in Honolulu, HI. A transect was performed on the 140 degree longitude line from roughly 16 degrees N to 4 degrees S before heading to Honolulu. A Sequoia Scientific LISST-DEEP instrument was mounted to the R/V Thompson's rosette and ctd system and operated during CTD casts. The data presented here are blank-corrected using a deepwater background scattering calibration, and binned in 2-meter bins from 2 to 200m depths. The summed volume concentration of particles (in uL/L), the standard LISST output, is presented for 3 size ranges: 1.25-2 µm, 2-20 µm, and 20-100 µm. Note that data have not been processed to remove outliers. Time is in UTC.
DOI: 10.5281/zenodo.8306723
title: Gradients 5 - LISST DEEP Profiles

description: This dataset was collected on the R/V Thompson during the Gradients V cruise which departed from San Diego, CA and ended in Honolulu, HI. A transect was performed on the 140 degree longitude line from roughly 16 degrees N to 4 degrees S before heading to Honolulu. A Sequoia Scientific LISST-DEEP instrument was mounted to the R/V Thompson's rosette and ctd system and operated during CTD casts. The data presented here are blank-corrected using a deepwater background scattering calibration, and binned in 2-meter bins from 2 to 200m depths. The summed volume concentration of particles (in uL/L), the standard LISST output, is presented for 3 size ranges: 1.25-2 µm, 2-20 µm, and 20-100 µm. Note that data have not been processed to remove outliers. Time is in UTC.
DOI: 10.6084/m9.figshare.24069495
title: Markdown file

description: Markdown file containing all statistical analysis.
DOI: 10.20383/102.0488
title: Rates and timing of chlorophyll-a increases and related environmental variables in global temperate and cold-temperate lakes

description: The files in this repository were created using code that is available in the associated GitHub repository (https://github.com/hfadams/pci) and in Zenodo (https://doi.org/10.5281/zenodo.6972355), which was used to standardize and compile a dataset of in situ chlorophyll-a data and related water quality data and for lakes at or above 40° N across the Northern hemisphere. Original data files are not included in this repository but can be found by following the links in the data sources tables in the SHARING/ACCESS INFORMATION section in the README. The period of chlorophyll-a increase (PCI) dataset contains chlorophyll-a rate of increase along with mean water quality variables (i.e., surface water temperature, nutrients, and solar radiation (SSR)) during periods of rapid algal growth referred to as the PCI. PCI's were defined based on the normalized rate of change in the fluctuating chlorophyll-a concentration sampled over the year, and categorized as occurring in the spring, summer, or as a "single" PCI when there was one main period of growth. Additional lake parameters were included from the HydroLAKES and HydroATLAS databases, and trophic status index (TSI) was calculated from chlorophyll-a concentrations. This dataset is intended to be used to explore trends between changing environmental conditions and lake productivity. However, as a compiled dataset, the PCI data is based on lake samples collected from a variety of organizations with differing methods. Great care was taken to standardize the data and provide all relevant metadata wherever possible
DOI: 10.34943/846e1068-7e3d-49eb-9ec5-97d25a3afda5
title: Main Endeavour Field Benthic and Resistivity Sensors Deployed 2023-07-02

description: The OceanEngUW BARS 02 was deployed on 2023-07-02 at Main Endeavour Field. Main Endeavour Field is a vent field located at Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Benthic and Resistivity Sensors. Benthic and Resistivity Sensors (BARS) collect measurements from hydrothermal vents, using sensors to measure resistivity, temperature, eH (oxidizing nature of seawater components) and hydrogen. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.23574695
title: Automated rapid triple-isotope (<i>δ</i><sup>15</sup>N, <i>δ</i><sup>18</sup>O, <i>δ</i><sup>17</sup>O) analyses of nitrate by Ti(III) reduction and N<sub>2</sub>O laser spectrometry

description: The nitrogen and oxygen (<i>δ</i><sup>15</sup>N, <i>δ</i><sup>18</sup>O, <i>δ</i><sup>17</sup>O) stable isotopic compositions of nitrate (NO3–) are crucial tracers of nutrient N sources and dynamics in aquatic and atmospheric systems. Methods to reduce aqueous NO3– to N<sub>2</sub>O gas (microbial or Cd method) before <sup>15</sup>N and <sup>18</sup>O isotope analyses require multi-step conversion or toxic chemicals, and <sup>17</sup>O in N<sub>2</sub>O cannot be disentangled by IRMS due to isobaric interferences. This technical note describes the automation of the stable-isotope analyses of nitrate by coupling the new Ti method with a headspace autosampler and an N<sub>2</sub>O triple-isotope laser analyzer based on off-axis integrated cavity output spectroscopy. The automation yielded accurate and precise results for routine determinations of <i>δ</i><sup>15</sup>N, <i>δ</i><sup>18</sup>O, and <i>δ</i><sup>17</sup>O values for aqueous nitrate in environmental waters. Systematic corrections were required for cavity pressure, N<sub>2</sub>O concentration and water vapour content to obtain the highest precision for all three isotopic ratios. For the first time, an automated laser-based system facilitates routine low-cost triple isotope analyses in studies where high-temporal resolution isotope analyses of NO<sub>3</sub><sup>−</sup> are required but have been, until now, cost-prohibitive and time-consuming (e.g. atmospheric N pollution).
DOI: 10.6084/m9.figshare.23574695.v1
title: Automated rapid triple-isotope (<i>δ</i><sup>15</sup>N, <i>δ</i><sup>18</sup>O, <i>δ</i><sup>17</sup>O) analyses of nitrate by Ti(III) reduction and N<sub>2</sub>O laser spectrometry

description: The nitrogen and oxygen (<i>δ</i><sup>15</sup>N, <i>δ</i><sup>18</sup>O, <i>δ</i><sup>17</sup>O) stable isotopic compositions of nitrate (NO3–) are crucial tracers of nutrient N sources and dynamics in aquatic and atmospheric systems. Methods to reduce aqueous NO3– to N<sub>2</sub>O gas (microbial or Cd method) before <sup>15</sup>N and <sup>18</sup>O isotope analyses require multi-step conversion or toxic chemicals, and <sup>17</sup>O in N<sub>2</sub>O cannot be disentangled by IRMS due to isobaric interferences. This technical note describes the automation of the stable-isotope analyses of nitrate by coupling the new Ti method with a headspace autosampler and an N<sub>2</sub>O triple-isotope laser analyzer based on off-axis integrated cavity output spectroscopy. The automation yielded accurate and precise results for routine determinations of <i>δ</i><sup>15</sup>N, <i>δ</i><sup>18</sup>O, and <i>δ</i><sup>17</sup>O values for aqueous nitrate in environmental waters. Systematic corrections were required for cavity pressure, N<sub>2</sub>O concentration and water vapour content to obtain the highest precision for all three isotopic ratios. For the first time, an automated laser-based system facilitates routine low-cost triple isotope analyses in studies where high-temporal resolution isotope analyses of NO<sub>3</sub><sup>−</sup> are required but have been, until now, cost-prohibitive and time-consuming (e.g. atmospheric N pollution).
DOI: 10.5281/zenodo.8306748
title: Gradients 5 - Optics - LISST, AC-S, and ECO

description: This dataset was collected on the R/V Thompson during the Gradients V cruise which departed from San Diego, CA and ended in Honolulu, HI. A transect was performed on the 140 degree longitude line from roughly 16 degrees N to 4 degrees S before heading to Honolulu. Three biooptical instruments were plumbed to the underway uncontaminated seawater (intake depth 8m). Data for each instrument were averaged to the minute and matched to a timestamp on the minute. LISST: Filtered values (&lt;0.2 um) removed from all data. The summed volume concentration of particles (in uL/L), the standard LISST output, is presented for 3 size ranges: 1.25-2 µm, 2-20 µm, and 20-100 µm. Note that data have not been processed to remove outliers. AC-S: Filtered values (&lt;0.2 um) removed from all data (see White et al., 2017, GRL); data corrected for residual temperature and scattering; AC-S chl a concentrations obtained from a Gaussian fit over absorbance spectra in the red portion of the spectrum, assuming in vivo chl-a specific absorption of 0.0203 m2/mg at 674 nm. ECO: filtered values (&lt;0.2 um) removed from chl and volume scattering data; chl fluorescence converted to mg/m3 using factory calibrations, and corrected to HPLC chlorophyll values. CDOM not included due to faulty channel. Time is in UTC.
DOI: 10.5281/zenodo.8306747
title: Gradients 5 - Optics - LISST, AC-S, and ECO

description: This dataset was collected on the R/V Thompson during the Gradients V cruise which departed from San Diego, CA and ended in Honolulu, HI. A transect was performed on the 140 degree longitude line from roughly 16 degrees N to 4 degrees S before heading to Honolulu. Three biooptical instruments were plumbed to the underway uncontaminated seawater (intake depth 8m). Data for each instrument were averaged to the minute and matched to a timestamp on the minute. LISST: Filtered values (&lt;0.2 um) removed from all data. The summed volume concentration of particles (in uL/L), the standard LISST output, is presented for 3 size ranges: 1.25-2 µm, 2-20 µm, and 20-100 µm. Note that data have not been processed to remove outliers. AC-S: Filtered values (&lt;0.2 um) removed from all data (see White et al., 2017, GRL); data corrected for residual temperature and scattering; AC-S chl a concentrations obtained from a Gaussian fit over absorbance spectra in the red portion of the spectrum, assuming in vivo chl-a specific absorption of 0.0203 m2/mg at 674 nm. ECO: filtered values (&lt;0.2 um) removed from chl and volume scattering data; chl fluorescence converted to mg/m3 using factory calibrations, and corrected to HPLC chlorophyll values. CDOM not included due to faulty channel. Time is in UTC.
DOI: 10.6084/m9.figshare.21806966
title: Nonparametric inference for interval data using kernel methods

description: Symbolic data have become increasingly popular in the era of big data. In this paper, we consider density estimation and regression for interval-valued data, a special type of symbolic data, common in astronomy and official statistics. We propose kernel estimators with adaptive bandwidths to account for variability of each interval. Specifically, we derive cross-validation bandwidth selectors for density estimation and extend the Nadaraya–Watson estimator for regression with interval data. We assess the performance of the proposed methods in comparison with existing kernel methods by extensive simulation studies and real data analysis.
DOI: 10.6084/m9.figshare.21806966.v1
title: Nonparametric inference for interval data using kernel methods

description: Symbolic data have become increasingly popular in the era of big data. In this paper, we consider density estimation and regression for interval-valued data, a special type of symbolic data, common in astronomy and official statistics. We propose kernel estimators with adaptive bandwidths to account for variability of each interval. Specifically, we derive cross-validation bandwidth selectors for density estimation and extend the Nadaraya–Watson estimator for regression with interval data. We assess the performance of the proposed methods in comparison with existing kernel methods by extensive simulation studies and real data analysis.
DOI: 10.5066/p988ddub
title: (ORB II-13 (100)) Geologic map of the Maestlin G region of the moon, Lunar Orbiter site II P-13, Oceanus Procellarum, including Apollo landing site 5

description: This map shows the geology in and around potential early Apollo landing site 5 in the lunar equatorial belt. The Maestlin G region is in Oceanus Procellarum, about midway between the crater Kepler to the northeast and Flamsteed to the southwest. Terra materials occur only in the northeast corner of the region. Dark mare covers the remainder, and the entire region is crossed by rays from Kepler. The general geology of the larger Kepler region was mapped at a scale of 1:1,000,000 from telescopic photography (Hackman, 1962), and a 1:25,000 geologic map has been prepared of the landing site in the central part of the region (Titley and Trask, 1969)
DOI: 10.34943/68a9c5ed-dfc8-4a2b-995d-71377813045b
title: Main Endeavour Field South Benthic and Resistivity Sensors Deployed 2023-06-30

description: The OceanEngUW BARS V2 201 was deployed on 2023-06-30 at Main Endeavour Field South. Main Endeavour Field South is at the south end of the Main Endeavour Field located along the Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Benthic and Resistivity Sensors. Benthic and Resistivity Sensors (BARS) collect measurements from hydrothermal vents, using sensors to measure resistivity, temperature, eH (oxidizing nature of seawater components) and hydrogen. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.8306771
title: Code: Decarbonization Employment and Energy Systems (DEERS) Model

description: The Decarbonization Employment and Energy Systems (DEERS) model is a data-driven framework for estimating labor market pathways of large-scale, low-carbon energy-supply infrastructure development. The DEERS model is designed as a tool to inform regional and national workforce and infrastructure planning and policy-making in the U.S. The model simulates the distribution of labor effects over time and across economic sectors, resource sectors, occupations, and geography for multi-decadal energy-supply system transition scenarios. The model is used to estimate employment demand and wages, as well as experience, education, and training requirements, across domestic energy supply chains. We also incorporate time-variant factors, such as labor productivity and wage inflation, which are especially important in the context of emerging labor markets and long-term transitions. The DEERS model is adaptable to different energy system contexts and readily coupled with regional and downscaled macro-energy system modeling outputs. It can also be used to explore modifiable workforce and infrastructure planning and policy decisions, such as high road labor policies, siting domestic manufacturing facilities, creating just transition funds, and changing fossil fuel exports over time.
DOI: 10.5281/zenodo.8306770
title: Code: Decarbonization Employment and Energy Systems (DEERS) Model

description: The Decarbonization Employment and Energy Systems (DEERS) model is a data-driven framework for estimating labor market pathways of large-scale, low-carbon energy-supply infrastructure development. The DEERS model is designed as a tool to inform regional and national workforce and infrastructure planning and policy-making in the U.S. The model simulates the distribution of labor effects over time and across economic sectors, resource sectors, occupations, and geography for multi-decadal energy-supply system transition scenarios. The model is used to estimate employment demand and wages, as well as experience, education, and training requirements, across domestic energy supply chains. We also incorporate time-variant factors, such as labor productivity and wage inflation, which are especially important in the context of emerging labor markets and long-term transitions. The DEERS model is adaptable to different energy system contexts and readily coupled with regional and downscaled macro-energy system modeling outputs. It can also be used to explore modifiable workforce and infrastructure planning and policy decisions, such as high road labor policies, siting domestic manufacturing facilities, creating just transition funds, and changing fossil fuel exports over time.
DOI: 10.25346/s6/p0wozr
title: Euclaptus Grove potree test2

description: data accessible by potree
DOI: 10.25346/s6/p0wozr/1i8amt
title: octree.bin
DOI: 10.25346/s6/p0wozr/fi8jgw
title: metadata.json
DOI: 10.25346/s6/p0wozr/7zhj1z
title: eucalytpus_grove_ucsd_blk360.laz
DOI: 10.25346/s6/p0wozr/4u4s91
title: hierarchy.bin
DOI: 10.25346/s6/p0wozr/obs0su
title: eucalyptus_grove_ucsd.e57
DOI: 10.5517/ccdc.csd.cc29wf1p
title: CCDC 2141512: Experimental Crystal Structure Determination

description: Related Article: Hua Liu, Quan-Quan Li, Li Zhou, Bing Deng, Peng-Hui Pan, Shu-Ya Zhao, Ping Liu, Yao-Yu Wang, Jian-Li Li|2023|J.Am.Chem.Soc.|145|17588|doi:10.1021/jacs.3c02379
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.cc29wf2q
title: CCDC 2141513: Experimental Crystal Structure Determination

description: Related Article: Hua Liu, Quan-Quan Li, Li Zhou, Bing Deng, Peng-Hui Pan, Shu-Ya Zhao, Ping Liu, Yao-Yu Wang, Jian-Li Li|2023|J.Am.Chem.Soc.|145|17588|doi:10.1021/jacs.3c02379
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.cc29wf3r
title: CCDC 2141514: Experimental Crystal Structure Determination

description: Related Article: Hua Liu, Quan-Quan Li, Li Zhou, Bing Deng, Peng-Hui Pan, Shu-Ya Zhao, Ping Liu, Yao-Yu Wang, Jian-Li Li|2023|J.Am.Chem.Soc.|145|17588|doi:10.1021/jacs.3c02379
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.cc29wf5t
title: CCDC 2141516: Experimental Crystal Structure Determination

description: Related Article: Hua Liu, Quan-Quan Li, Li Zhou, Bing Deng, Peng-Hui Pan, Shu-Ya Zhao, Ping Liu, Yao-Yu Wang, Jian-Li Li|2023|J.Am.Chem.Soc.|145|17588|doi:10.1021/jacs.3c02379
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.cc29wf4s
title: CCDC 2141515: Experimental Crystal Structure Determination

description: Related Article: Hua Liu, Quan-Quan Li, Li Zhou, Bing Deng, Peng-Hui Pan, Shu-Ya Zhao, Ping Liu, Yao-Yu Wang, Jian-Li Li|2023|J.Am.Chem.Soc.|145|17588|doi:10.1021/jacs.3c02379
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.cc2fq46j
title: CCDC 2255597: Experimental Crystal Structure Determination

description: Related Article: Hua Liu, Quan-Quan Li, Li Zhou, Bing Deng, Peng-Hui Pan, Shu-Ya Zhao, Ping Liu, Yao-Yu Wang, Jian-Li Li|2023|J.Am.Chem.Soc.|145|17588|doi:10.1021/jacs.3c02379
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.