cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25sj5p
title: CCDC 2019562: Experimental Crystal Structure Determination

description: Related Article: Bang Gong, Enhe Bai, Xueqiong Feng, Liwei Yi, Yeji Wang, Xin Chen, Xiangcheng Zhu, Yanwen Duan, Yong Huang|2021|J.Am.Chem.Soc.|143|20579|doi:10.1021/jacs.1c09311
DOI: 10.5517/ccdc.csd.cc271mgd
title: CCDC 2057143: Experimental Crystal Structure Determination

description: Related Article: Hai-Lian Yuan, Yun-Li Zhao, Kun Hu, Ying-Jie He, Xing-Wei Yang, Xiao-Dong Luo|2021|J.Org.Chem.|86|16764|doi:10.1021/acs.joc.1c01990
DOI: 10.5517/ccdc.csd.cc27qcv6
title: CCDC 2077088: Experimental Crystal Structure Determination

description: Related Article: Jiamin Wu, Jinli Zhang, Yongjuan Jiao, Gongtao Deng, Yingmei Li, Zhengyu Zhang, Yaojia Jiang|2021|J.Org.Chem.|86|17462|doi:10.1021/acs.joc.1c02162
DOI: 10.6073/pasta/0afed3aec6e5638b05d7f99136fe88dd
title: North Temperate Lakes LTER: Ice Duration - Trout Lake Area 1981 - current

description: Data include day of freeze-up and thaw dates of seven northern primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, unnamed 27-02 [Crystal Bog] and 12-15 [Trout Bog]) as well as Little Rock Lake. Observations are made approximately every other day during times of freeze and thaw. A lake is considered ice covered when the sampling station (the deepest part of the lake) is ice covered. The lake is considered thawed when it is possible to drive a boat from the boat landing to the sampling station without encountering ice. Sampling Frequency: annually Number of sites: 8
DOI: 10.6073/pasta/ad7bc75f05a723cd539824700b81641d
title: North Temperate Lakes LTER: Physical Limnology of Primary Study Lakes 1981 - current

description: Parameters characterizing the physical limnology of the eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish) are measured at one station in the deepest part of each lake at 0.25-m to 1-m depth intervals depending on the lake. Measured parameters in the data set include water temperature, vertical penetration of photosynthetically active radiation (PAR; not measured on lakes Mendota, Monona, Wingra, and Fish), dissolved oxygen, as well as the derived parameter percent oxygen saturation. Sampling Frequency: fortnightly during ice-free season - every 6 weeks during ice-covered season for the northern lakes. The southern lakes are similar except that sampling occurs monthly during the fall and typically only once during the winter (depending on ice conditions). Number of sites: 11
DOI: 10.6073/pasta/81349f1e48cc3dd669c52ce5192a8b70
title: North Temperate Lakes LTER: Secchi Disk Depth; Other Auxiliary Base Crew Sample Data 1981 - current

description: Secchi disk depth is measured in the deepest part of each lake for the eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout lakes, unnamed lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Fish, Mendota, Monona and Wingra). The disk is circular, 20 cm in diameter, and has alternating black and white quadrants. It is lowered using a calibrated Kevlar rope to minimize stretching. Readings are made on the shaded side of the boat both with and without the aid of a plexiglass viewer. The points at which the disk disappears while being lowered and reappears while being raised are averaged to determine Secchi depth. Auxiliary data include time of day, air temperature, cloud cover, wave height, wind speed and direction and whether the lake was ice covered on the sampledate. Sampling Frequency: fortnightly during ice-free season - every 6 weeks during ice-covered season for the northern lakes. The southern lakes are similar except that sampling occurs monthly during the fall and typically only once during the winter (depending on ice conditions). Number of sites: 11
DOI: 10.6073/pasta/4446e37f339ffdac6912030d83e2f61f
title: The impact of warming on ecosystem carbon balance: aboveground plant biomass from the Carbon in Permafrost Experimental Heating Research (CiPEHR) project, 2009-2013

description: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set includes aboveground plant biomass from winter warming, summer warming, and control treatment plots at CiPEHR.
DOI: 10.6084/m9.figshare.17242574
title: Standard form PBP on wards.docx

description: Field notes were recorded while observing interns performing phlebotomy, This document contains a list of each of the observations recorded while interns were observed performing phlebotomy.
DOI: 10.6084/m9.figshare.17242574.v1
title: Standard form PBP on wards.docx

description: Field notes were recorded while observing interns performing phlebotomy, This document contains a list of each of the observations recorded while interns were observed performing phlebotomy.
DOI: 10.5281/zenodo.5787463
title: Dryas alaskensis spades decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5787462
title: Dryas alaskensis spades decontaminated FSCR

description: .
DOI: 10.6073/pasta/d98ab9c4ccc489cada83ecc11ab5487d
title: MCR LTER: Coral Reef: Long-term Population and Community Dynamics: Fishes

description: These data describe the species abundance and size distributions of fishes surveyed as part of MCR LTER's annual reef fish monitoring program. This study began in 2005 and the dataset is updated annually. The abundances of all mobile taxa of fishes (Scarids, Labrids, Acanthurids, Serranids, etc.) observed on a five by fifty meter transect which extends from the bottom to the surface of the water column are recorded by a diver using SCUBA. The diver then swims back along a one by fifty meter section of the original transect line and records the abundances of all non-mobile or cryptic taxa of fishes (Pomacentids, Gobiids, Cirrhitids, Holocentrids etc). Surveys are conducted between 0900 and 1600 hours (Moorea time) during late July or early August each year. In 2006, divers also began to estimate the size (length) of each fish observed to the nearest half cm. Four replicate transects are surveyed in each of six locations on the forereef (two on each of Moorea's three sides), six locations on the backreef (two on each of Moorea's three sides) and on six locations on the fringing reef (two on each of Moorea's three sides) for a total of 72 individual transects. Transects are permanently marked using a series of small, stainless steel posts affixed to the reef. Transects on the forereef are located at a depth of approximately 12m, those on the backreef are located at a depth of approximately 1.5m and those on the fringing reef are located at a depth of approximately 10m. In addition to the biotic data collected, divers also record data on the date and time each transect was surveyed, wind speed and sea state, swell height in m, amount of cloud cover in % and horizontal visability in m. This monitoring program is consistent with the protocols adopted by the Global Coral Reef Monitoring Network and the Australian Institute of Marine Science for use with the Great Barrier Reef Long-term Monitoring Program.
DOI: 10.5281/zenodo.5787371
title: Dataset to "Fine-sediment erosion and ridge morphodynamics in coarse-grained immobile beds"

description: The dataset is connected to the paper "Fine-sediment erosion and ridge morphodynamics in coarse-grained immobile beds". The dataset is subdivided in "topographic" and "PIV" data. Each dataset refers to an experiment presented in the paper. The filenames of the topographic data specify the location where the data were collected ("upstream" or "downstream"). The topographic data contain the bed elevations measured around each sphere over a measurement area as wide as the channel and covering nine patterns of spheres (see paper for a definition of the pattern of spheres). Each topographic dataset contains four structures: - A time vector "T" identifying the sampling times at which the bed topography was measured (unit: h) - A space vector "x" identifying the streamwise position of the spheres with the origin of the coordinate system positioned at the beginning of the measurement areas (upstream or downstream) - unit cm - A space vector "y" identifying the transverse position of the spheres with the coordinate system centred in the middle of the channel and positively oriented towards the left side of the flume looking in streamwise direction - unit cm - A matrix "Z" identifying the protrusion levels of the spheres (as defined in the paper) as a function of space and time (x times y times T) - unit cm The PIV data were acquired during experiments 1b and 5b at the upstream location. The data are a collection of the velocity fields measured above the top of the spheres and over two pattern of spheres in the middle "m" and in the quarter plane "q" of the channel for three different time instants (t1, t2, t3) during the experiments. Each dataset contains 6 variables: - the "sampling time" of the bursts - unit s - the "acquisition time" of the PIV run during the experiments - unit h - a vector "x" identifying the streamwise position of the velocity vectors for a coordinae system centred in the centre of the sphere and pointing in the longitudinal direction. - a vector "z" identifying the vertical direction of the coordinate system with the origin at the top of the sphere and pointing upwards - unit cm - a matrix "vx" containing 1000 fields of the streamwise velocity component - unit cm/s - a matrix "vz" containing 1000 fields of the vertical velocity component - unit cm/s
DOI: 10.5281/zenodo.5787370
title: Dataset to "Fine-sediment erosion and ridge morphodynamics in coarse-grained immobile beds"

description: The dataset is connected to the paper "Fine-sediment erosion and ridge morphodynamics in coarse-grained immobile beds". The dataset is subdivided in "topographic" and "PIV" data. Each dataset refers to an experiment presented in the paper. The filenames of the topographic data specify the location where the data were collected ("upstream" or "downstream"). The topographic data contain the bed elevations measured around each sphere over a measurement area as wide as the channel and covering nine patterns of spheres (see paper for a definition of the pattern of spheres). Each topographic dataset contains four structures: - A time vector "T" identifying the sampling times at which the bed topography was measured (unit: h) - A space vector "x" identifying the streamwise position of the spheres with the origin of the coordinate system positioned at the beginning of the measurement areas (upstream or downstream) - unit cm - A space vector "y" identifying the transverse position of the spheres with the coordinate system centred in the middle of the channel and positively oriented towards the left side of the flume looking in streamwise direction - unit cm - A matrix "Z" identifying the protrusion levels of the spheres (as defined in the paper) as a function of space and time (x times y times T) - unit cm The PIV data were acquired during experiments 1b and 5b at the upstream location. The data are a collection of the velocity fields measured above the top of the spheres and over two pattern of spheres in the middle "m" and in the quarter plane "q" of the channel for three different time instants (t1, t2, t3) during the experiments. Each dataset contains 6 variables: - the "sampling time" of the bursts - unit s - the "acquisition time" of the PIV run during the experiments - unit h - a vector "x" identifying the streamwise position of the velocity vectors for a coordinae system centred in the centre of the sphere and pointing in the longitudinal direction. - a vector "z" identifying the vertical direction of the coordinate system with the origin at the top of the sphere and pointing upwards - unit cm - a matrix "vx" containing 1000 fields of the streamwise velocity component - unit cm/s - a matrix "vz" containing 1000 fields of the vertical velocity component - unit cm/s
DOI: 10.6073/pasta/6c8ccb2a4e385f757abbb276987833d7
title: Ohio Public Land Survey (PLS) Witness Tree GIS Shapefile

description: The United States Public Land Survey (PLS) divided land into one square mile units, termed sections. Surveyors used trees to locate section corners and other locations of interest (witness trees). As a result, a systematic ecological dataset was produced with regular sampling over a large region of the United States, beginning in Ohio in 1786 and continuing westward. We digitized and georeferenced archival hand drawn maps of these witness trees for 27 counties in Ohio. This dataset consists of a GIS point shapefile with 11,925 points located at section corners, recording 26,028 trees (up to four trees could be recorded at each corner). We retain species names given on each archival map key, resulting in 70 unique species common names. PLS records were obtained from hand-drawn archival maps of original witness trees produced by researchers at The Ohio State University in the 1960’s. Scans of these maps are archived as “The Edgar Nelson Transeau Ohio Vegetation Survey” at The Ohio State University: http://hdl.handle.net/1811/64106. The 27 counties are: Adams, Allen, Auglaize, Belmont, Brown, Darke, Defiance, Gallia, Guernsey, Hancock, Lawrence, Lucas, Mercer, Miami, Monroe, Montgomery, Morgan, Noble, Ottawa, Paulding, Pike, Putnam, Scioto, Seneca, Shelby, Williams, Wyandot. Coordinate Reference System: North American Datum 1983 (NAD83). This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.
DOI: 10.5281/zenodo.5768042
title: Dataset from: "Global labor loss due to humid heat exposure underestimated for outdoor workers"

description: Data from Environmental Research Letters manuscript 'Global labor loss due to humid heat exposure underestimated for outdoor workers', DOI: https://doi.org/10.1088/1748-9326/ac3dae. Associated Python (Jupyter Lab) scripts and working environment to load and plot data can be found at: https://github.com/LukeAParsons/erfs_comparison Abstract: 'Humid heat impacts a large portion of the world’s population that works outdoors. Previous studies have quantified humid heat impacts on labor productivity by relying on exposure response functions that are based on uncontrolled experiments under a limited range of heat and humidity. Here we use the latest empirical model, based on a wider range of temperatures and humidity, for studying the impact of humid heat and recent climate change on labor productivity. We show that globally, humid heat may currently be associated with over 650 billion hours of annual lost labor (148 million full time equivalent jobs lost), 400 billion hours more than previous estimates. These differences in labor loss estimates are comparable to losses caused by the COVID-19 pandemic. Globally, annual heat-induced labor productivity losses are estimated at 2.1 trillion in 2017 PPP$, and in several countries are equivalent to more than 10% of gross domestic product. Over the last four decades, global heat-related labor losses increased by at least 9% (&gt;60 billion hours annually using the new empirical model) highlighting that relatively small changes in climate (&lt;0.5 ◦C) can have large impacts on global labor and the economy.'
description: sWBGT based on ERA5 data, ~31kmx31km horizontal resolution at equator. Per capita work hours lost on era5 grid, other data on 0.5x0.5 degree lat/lon grid structure. Other data from ILOSTAT and World Bank. Population data from 2017 GPWv4 dataset. Country mask and associated csv files with country names thanks to G. Faluvegi at NASA. K Seltzer regridded the GPWv4 grid to 0.5x0.5 degree. ILO data downloaded by Y. Zhang.
DOI: 10.5281/zenodo.5768041
title: Dataset from: "Global labor loss due to humid heat exposure underestimated for outdoor workers"

description: Data from Environmental Research Letters manuscript 'Global labor loss due to humid heat exposure underestimated for outdoor workers', DOI: https://doi.org/10.1088/1748-9326/ac3dae. Associated Python (Jupyter Lab) scripts and working environment to load and plot data can be found at: https://github.com/LukeAParsons/erfs_comparison Abstract: 'Humid heat impacts a large portion of the world’s population that works outdoors. Previous studies have quantified humid heat impacts on labor productivity by relying on exposure response functions that are based on uncontrolled experiments under a limited range of heat and humidity. Here we use the latest empirical model, based on a wider range of temperatures and humidity, for studying the impact of humid heat and recent climate change on labor productivity. We show that globally, humid heat may currently be associated with over 650 billion hours of annual lost labor (148 million full time equivalent jobs lost), 400 billion hours more than previous estimates. These differences in labor loss estimates are comparable to losses caused by the COVID-19 pandemic. Globally, annual heat-induced labor productivity losses are estimated at 2.1 trillion in 2017 PPP$, and in several countries are equivalent to more than 10% of gross domestic product. Over the last four decades, global heat-related labor losses increased by at least 9% (&gt;60 billion hours annually using the new empirical model) highlighting that relatively small changes in climate (&lt;0.5 ◦C) can have large impacts on global labor and the economy.'
description: sWBGT based on ERA5 data, ~31kmx31km horizontal resolution at equator. Per capita work hours lost on era5 grid, other data on 0.5x0.5 degree lat/lon grid structure. Other data from ILOSTAT and World Bank. Population data from 2017 GPWv4 dataset. Country mask and associated csv files with country names thanks to G. Faluvegi at NASA. K Seltzer regridded the GPWv4 grid to 0.5x0.5 degree. ILO data downloaded by Y. Zhang.
DOI: 10.6073/pasta/1614ba24fd991842f09a936dffc1d5b2
title: Records of moored SeaFET pH, SeaBird CTD and oxygen at Anacapa, Santa Cruz and San Miguel Islands, California from 2012-2015

description: Data are pH (total scale, SeaFET), salinity, conductivity, temperature, depth (Seabird 37 CTD) and Oxygen (MicroCAT C-T-ODO) from instruments moored at three sites along the north shores of the northern Santa Barbara Channel Islands, California, USA. At Anacapa Island (ALC), in a marine reserve with kelp forest habitat; at Santa Cruz Island (PRZ), surrounded by a large shallow eelgrass bed (Zostera pacifica); and at San Miguel Island (SMN), in open water over a sandy bottom. pH sensors were deployed at all three sites in 2012, with CTD and Oxyten senosrs added to moorings at ALC and PRZ in May 2013. Benchmark samples for SeaFET sensors calibration were collected 1 to 8 times during each 2 - 3 month deployment via SCUBA, free diving or from a pier with a GO-FLOW (General Oceanics) bottle (see methods). Oxygen data were validated by Winkler titations, with concentrations reported in various units and as saturation. Data are presented in: Kapsenberg, L. and G. E. Hofmann 2016. Ocean pH time-series and drivers of variability along the northern Channel Islands, California, USA. Limnology and Oceanography. 61: 953-968. DOI: 101002/lno.10264.
DOI: 10.6073/pasta/1e919f45c4fcc6b7229f83a08ae023ee
title: Ice Thickness for Taylor Valley Lakes, Antarctica

description: Ice thickness was measured from the bottom of the ice cover to the piezometric water level and to the top of the ice cover.
DOI: 10.6073/pasta/a131c0d6707b6aa746dfe0265141ad43
title: Fire-severity effects on plant-fungal interactions after a novel tundra wildfire disturbance: implications for arctic shrub and tree migration

description: Background-Vegetation change in high latitude tundra ecosystems is expected to accelerate due to increased wildfire activity. High-severity fires increase the availability of mineral soil seedbeds, which facilitates recruitment, yet fire also alters soil microbial composition, which could significantly impact seedling establishment. Results - We investigated the effects of fire severity on soil biota and associated effects on plant performance for two plant species predicted to expand into Arctic tundra. We inoculated seedlings in a growth chamber experiment with soils collected from the largest tundra fire recorded in the Arctic and used molecular tools to characterize root-associated fungal communities. Seedling biomass was significantly related to the composition of fungal inoculum. Biomass decreased as fire severity increased and the proportion of pathogenic fungi increased. Conclusions - Our results suggest that effects of fire severity on soil biota reduces seedling performance and thus we hypothesize that in certain ecological contexts fire-severity effects on plant-fungal interactions may dampen the expected increases in tree and shrub establishment after tundra fire.
DOI: 10.5281/zenodo.5787478
title: Nucleation process of laboratory earthquakes on a submeter fault under different normal stresses

description: We conducted friction experiments on a 669 mm long granodiorite simulated fault to study the detailed spatiotemporal evolutions of nucleation zones (characterized by the strain-releasing zones) of stick-slip events under four different normal stresses via a dense array of strain rosettes (with spacing of 21 mm between the adjacent rosettes and offset distance of 8 mm from the fault). Cumulative shear strain relative to the strain at 1 s prior to the stick-slip instability is calculated for each strain rosette. By doing this, the strain-releasing zone can be detected in the spatiotemporal evolution of the cumulative shear strain. We present a typical pattern of the nucleation process under each normal stress. Under the normal stresses of 7.5 and 10 MPa, a quasi-static expanding nucleation zone initiates at <em>x </em>~ -80 mm and expands slowly and then shrinks to a critical length (referred to as the contraction nucleation length, <em>L<sub>s</sub></em>) before it merges into a subsequently accelerated expanding nucleation zone. The accelerated expanding nucleation zone initiates in the middle of the fault (<em>x </em>~ 0) near the outer edge of the quasi-static expanding nucleation zone, which first expands bilaterally at a speed of the order of m/s and then gradually accelerates towards the fault ends. When the length of the accelerated nucleation zone expands to another critical length (referred to as the ultimate nucleation length, <em>L<sub>c</sub></em>), the dynamic rupture initiates (<em>t</em> = 0). Under normal stresses of 2.5 and 5.0 MPa, the similar accelerated expanding nucleation zone is also detected but the quasi-static expanding nucleation zone is unobservable. Moreover, <em>L<sub>s</sub></em> increases but <em>L<sub>c</sub></em> decreases with increasing normal stress.