cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc23h8tq
title: CCDC 1951103: Experimental Crystal Structure Determination

description: Related Article: Le-Ping Miao, Bei-Dou Liang, Tong Jin, Xiang-Bin Han, Wen Zhang|2021|Cryst.Growth Des.|21|2589|doi:10.1021/acs.cgd.0c01708
DOI: 10.5517/ccdc.csd.cc23h8vr
title: CCDC 1951104: Experimental Crystal Structure Determination

description: Related Article: Le-Ping Miao, Bei-Dou Liang, Tong Jin, Xiang-Bin Han, Wen Zhang|2021|Cryst.Growth Des.|21|2589|doi:10.1021/acs.cgd.0c01708
DOI: 10.5517/ccdc.csd.cc23h8ws
title: CCDC 1951105: Experimental Crystal Structure Determination

description: Related Article: Le-Ping Miao, Bei-Dou Liang, Tong Jin, Xiang-Bin Han, Wen Zhang|2021|Cryst.Growth Des.|21|2589|doi:10.1021/acs.cgd.0c01708
DOI: 10.5517/ccdc.csd.cc23h8xt
title: CCDC 1951106: Experimental Crystal Structure Determination

description: Related Article: Le-Ping Miao, Bei-Dou Liang, Tong Jin, Xiang-Bin Han, Wen Zhang|2021|Cryst.Growth Des.|21|2589|doi:10.1021/acs.cgd.0c01708
DOI: 10.5517/ccdc.csd.cc23w8y7
title: CCDC 1962639: Experimental Crystal Structure Determination

description: Related Article: Shouzhi Zhang, Aijie Tang, Ruyu Xie, Zhiqiang Zhao, Jinzhong Yao, Maozhong Miao|2021|Org.Lett.|23|3701|doi:10.1021/acs.orglett.1c01079
DOI: 10.5517/ccdc.csd.cc248thr
title: CCDC 1974684: Experimental Crystal Structure Determination

description: Related Article: Peng Wang, Mohamed R. Saber, Peter E. VanNatta, Glenn P. A. Yap, Codrina V. Popescu, Christopher C. Scarborough, Matthew T. Kieber-Emmons, Kim R. Dunbar, Charles G. Riordan|2021|Inorg.Chem.|60|6480|doi:10.1021/acs.inorgchem.1c00214
DOI: 10.5517/ccdc.csd.cc248tjs
title: CCDC 1974685: Experimental Crystal Structure Determination

description: Related Article: Peng Wang, Mohamed R. Saber, Peter E. VanNatta, Glenn P. A. Yap, Codrina V. Popescu, Christopher C. Scarborough, Matthew T. Kieber-Emmons, Kim R. Dunbar, Charles G. Riordan|2021|Inorg.Chem.|60|6480|doi:10.1021/acs.inorgchem.1c00214
DOI: 10.5517/ccdc.csd.cc24r020
title: CCDC 1988311: Experimental Crystal Structure Determination

description: Related Article: Yong Wang, Zhenwei Wang, Zhe Wang, Xiaoyu Liu, Yingjun Jiang, Xiaozhen Jiao, Ping Xie|2021|Org.Lett.|23|3680|doi:10.1021/acs.orglett.1c01066
DOI: 10.5517/ccdc.csd.cc24qzyt
title: CCDC 1988307: Experimental Crystal Structure Determination

description: Related Article: Yong Wang, Zhenwei Wang, Zhe Wang, Xiaoyu Liu, Yingjun Jiang, Xiaozhen Jiao, Ping Xie|2021|Org.Lett.|23|3680|doi:10.1021/acs.orglett.1c01066
DOI: 10.5517/ccdc.csd.cc25pf3f
title: CCDC 2016584: Experimental Crystal Structure Determination

description: Related Article: Jonathan W. Hall, Damien Bouchet, Mary F. Mahon, Michael K. Whittlesey, Catherine S. J. Cazin|2021|Organometallics|40|1252|doi:10.1021/acs.organomet.1c00039
DOI: 10.6084/m9.figshare.14582826
title: Florida Panhandle Wave Runup 2016-2019 raster

description: Raster (3m pixel) of proportional wave exposure at sea turtle nesting beaches in the Florida Panhandle from 2016 to 2019.
DOI: 10.6084/m9.figshare.14582826.v1
title: Florida Panhandle Wave Runup 2016-2019 raster

description: Raster (3m pixel) of proportional wave exposure at sea turtle nesting beaches in the Florida Panhandle from 2016 to 2019.
DOI: 10.6084/m9.figshare.14582793
title: CaseStudy3_Cam8_Images.zip

description: This file contains the images for camera 8 in Case Study 3 described in the book "A Practical Guide to Particle Tracking Systems - incorporating Streams" by Roger Nokes
DOI: 10.6084/m9.figshare.14582793.v1
title: CaseStudy3_Cam8_Images.zip

description: This file contains the images for camera 8 in Case Study 3 described in the book "A Practical Guide to Particle Tracking Systems - incorporating Streams" by Roger Nokes
DOI: 10.6073/pasta/2daa60adb328f723c51cc7f5a856b608
title: Environmental Research Lab-Duluth Chemical Lake Survey 1979 - 1982

description: Chemical survey of 832 lakes in Minnesota, Michigan, Wisconsin and Ontario conducted by ERL-Duluth and UMD between 1979 and 1982 for evaluation of trophic state and sensitivity to acid deposition Glass, G.E. and Sorenson, J.A. (1994) USEPA ERLD-UMD acid deposition gradient-susceptibility database. U.S. EPA Environmental Research Laboratory - Duluth and University of Minnesota at Duluth, MN. Number of sites: 856 within 832 lakes
DOI: 10.25739/1w46-n223
title: Innovations to expand drone data collections and analysis for rangeland monitoring

description: This drone imagery data is used to support a research project investigating the ability to map ecological states across the Santa Rita Experimental Range (SRER) in southern Arizona. The imagery was collected in two campaigns: the first occurred in May 2019 and the second in Aug/Sept 2019. Imagery was collected using a DJI Phantom 4 RTK drone, flying 38 m above the ground and yielding ~1 cm ground sampling distance. The imagery is located at long-term transects and exclosures at SRER. The imagery was to be compared with field mapping of ecological states conducted by Dan Robbinett. The imagery and other data in this repository are connected with the 2021 Ecosphere publication 'Innovations to expand drone data collection and analysis for rangeland monitoring'.
DOI: 10.5281/zenodo.4433147
title: Southeast US rainfall index for GRL paper "The Influence of a Resolved Gulf Stream on the Decadal Variability of Southeast US Rainfall"

description: The data include Southeast US rainfall index based on GPCC monthly precipitation and 30 CMIP5 model historical simulations (first realization). Each rainfall dataset, observed or model simulated, has been linearly detrended and applied with a 5-year low-pass filter. The Southeast US rainfall index is calculated as the area averaged values of 5-year low-pass filtered rainfall over land regions bounded by 25°-38°N and 266°-284°E. The unit here is mm/day.
DOI: 10.5281/zenodo.4433146
title: Southeast US rainfall index for GRL paper "The Influence of a Resolved Gulf Stream on the Decadal Variability of Southeast US Rainfall"

description: The data include Southeast US rainfall index based on GPCC monthly precipitation and 30 CMIP5 model historical simulations (first realization). Each rainfall dataset, observed or model simulated, has been linearly detrended and applied with a 5-year low-pass filter. The Southeast US rainfall index is calculated as the area averaged values of 5-year low-pass filtered rainfall over land regions bounded by 25°-38°N and 266°-284°E. The unit here is mm/day.
DOI: 10.14279/depositonce-11889
title: An Integrated Approach to Visual Perception of Articulated Objects -- Data

description: These are the rosbag files that accompany the ICRA2016 Paper "An Integrated Approach to Visual Perception of Articulated Objects". The rosbags contain RGBD recordings of moving articualted objects such as a drawer or a globe. Additionally there is ground truth information about the shapes of the objects supplied.
DOI: 10.14279/depositonce-11710
title: Coupled Recursive Estimation for Online Interactive Perception of Articulated Objects -- Online IP Data

description: These are the rosbags used to evaluate the approach in "Coupled Recursive Estimation forOnline Interactive Perception of Articulated Objects", IJRR2019
DOI: 10.48443/s2cj-fy03
title: NEON prototype data: beetle pitfall collections from CPER in 2008

description: Ground beetles have been extensively used as indicator species of arthropod biodiversity, environmental change, land use and land management. The ground beetle family is large, widespread, and associated with the ground layer, rather than any particular plant community, ensuring that some ground beetles are present in virtually all terrestrial habitats over the entire extent of the observatory. The family is rich in species, abundant in individuals and well known taxonomically. In addition, ground beetles are sensitive to environmental conditions and form well-defined richness gradients. 
This prototype data allowed for lessons learned about the implementation of beetle sampling and protocol design.
description: Ground beetles have been extensively used as indicator species of arthropod biodiversity, environmental change, land use and land management. To implement a sampling regime that measures the abundance and diversity of this indicator, we conducted initial prototype sampling.
For this prototype effort, we set out 6 pitfall traps at each of 8 plot locations within the Central Plains Experimental Range site in 2008. Two collections were performed at each trap. The interval of collection for each trap was approximately 2 weeks. 
Refer to NEON.DOC.000909 for more details on the operational beetle sampling effort.
DOI: 10.48443/pb0s-ff26
title: eddy4R: A community-extensible processing, analysis and modelling framework for eddy-covariance data

description: This study presents the systematic development of an open-source, flexible and modular eddy-covariance (EC) data processing framework. This is achieved through adopting a Development and Systems Operation (DevOps) philosophy, building on the eddy4R family of EC code packages in the R Language for Statistical Computing as foundation. These packages are community-developed via the GitHub distributed version control system and wrapped into a portable and reproducible Docker filesystem that is independent of the underlying host operating system. The HDF5 hierarchical data format then provides a streamlined mechanism for highly compressed and fully self-documented data ingest and output.
This framework is applicable beyond EC, and more generally builds the capacity to deploy complex algorithms developed by scientists in an efficient and scalable manner. In addition, modularity permits meeting project milestones while retaining extensibility with time.
The efficiency and consistency of this framework is demonstrated in the form of three application examples. These include tower EC data from first instruments installed at a National Ecological Observatory (NEON) field site, aircraft flux measurements in combination with remote sensing data, as well as a software intercomparison. In conjunction with this study, the first two eddy4R packages and simple NEON EC data products are released publicly. While this proof-of-concept represents a significant advance, substantial work remains to arrive at the automated framework needed for the streaming generation of science-grade EC fluxes.
description: By adopting a DevOps philosophy, the data product process frame work developed by NEON includes git-distributed version controlled scientific algorithms and a modular family of open-source R packages (eddy4R), the Hierarchical Data Format (HDF5) data input and output for efficient, self-describing, as well as Docker images to guarantee the same performance regardless of the compute environment.
DOI: 10.48443/136a-5v36
title: NEON prototype data: Surface Water Chemistry Data from Domain 1, Arthur’s Brook Site, 2013-2014

description: NEON surface water chemistry in wadeable streams is sampled 26 times a year, and is analyzed for a suite of general chemistry, anions, cations, and dissolved, particulate, and total nutrients.  Stream Water Chemistry samples were collected in Arthur’s Brook from August 2013 through April 2014.
description: The design is consistent with the surface water chemistry sampling protocol & procedure (NEON.DOC.002905vA).  Grab samples of surface water are collected up to 26 times per year in streams.  12 samples are collected at regular intervals during the sampling season, while the remaining 14 are collected on an irregular basis to capture major flow events.  The field protocol used by NEON for collecting surface water chemistry samples follows the general requirements set forth by the 2011 USGS National Water-Quality Assessment (NAWQA) Program and the Arctic LTER standard operating procedures (SOP).  Sample handling and preparation portions of this protocol follow the general requirements set forth by the USGS National Water-Quality Assessment (NAWQA) Program (USGS 2006).
DOI: 10.48443/wcj3-ew78
title: NEON prototype mosquito data from Florida and Georgia collections, 2012

description: Mosquitoes are a widespread family of insects with aquatic larval and pupal forms and flying adults that have been extensively studied because of their ecological and epidemiological significance. As a dominant taxon in aquatic food webs, mosquitoes compose a sizable proportion of invertebrate biomass in aquatic systems and act as a key food source for aquatic and terrestrial predators (e.g., fish, amphibians, spiders, birds). Mosquitoes also act as vectors for numerous parasites and pathogens of humans, livestock, and wildlife and their biology and ecology have been extensively studied to characterize and mitigate impacts of associated diseases. This prototype data allowed for lessons learned about the implementation of mosquito sampling and protocol design.
description: To implement a sampling regime that measures the abundance and diversity of mosquitoes, we conducted initial prototype sampling on a domain-scale. We set out 11 CO2 traps within Domain 03 in 2012. Traps were deployed for 24 hours approximately once per week for 11 weeks. Samples from these collections were sent out for expert identification by a taxonomist. Refer to NEON.DOC.000910 and NEON.DOC.000911 for more details on the operational mosquito sampling effort and vector science design.
DOI: 10.48443/r4y7-5855
title: NEON prototype mosquito data from CPER, 2011

description: Mosquitoes are a widespread family of insects with aquatic larval and pupal forms and flying adults that have been extensively studied because of their ecological and epidemiological significance. As a dominant taxon in aquatic food webs, mosquitoes compose a sizable proportion of invertebrate biomass in aquatic systems and act as a key food source for aquatic and terrestrial predators (e.g., fish, amphibians, spiders, birds). Mosquitoes also act as vectors for numerous parasites and pathogens of humans, livestock, and wildlife and their biology and ecology have been extensively studied to characterize and mitigate impacts of associated diseases. This prototype data allowed for lessons learned about the implementation of mosquito sampling and protocol design.
description: To implement a sampling regime that measures the abundance and diversity of mosquitoes, we conducted initial prototype sampling. As a first test of the protocol, we set out 10 CO2 traps within the Central Plains Experimental Range site in 2011. Traps were deployed for 48 hours once per week for 10 weeks. For the remaining 6 weeks, 2 CO2 traps were deployed weekly for a 48 hour period. Refer to NEON.DOC.000910 and NEON.DOC.000911 for more details on the operational mosquito sampling effort and vector science design.
DOI: 10.48443/ex58-6m35
title: NEON prototype data: Breeding landbird point counts, Rocky Mountain National Park, 2012

description: These data are prototype data from NEON's breeding landbird sampling. Breeding landbirds are defined as “smaller birds (usually exclusive of raptors and upland game birds) not usually associated with aquatic habitats” (Ralph et al. 1993). The breeding landbird point counts product provides records of species identification of all individuals observed during the 6-minute count period, as well as metadata which can be used to model detectability, e.g., weather, distances from observers to birds, and detection methods. The NEON point count method is adapted from the Integrated Monitoring in Bird Conservation Regions (IMBCR): Field protocol for spatially-balanced sampling of landbird populations (Hanni et al. 2017; http://bit.ly/2u2ChUB). For additional details, see protocol [NEON.DOC.014041](http://data.neonscience.org/api/v0/documents/NEON.DOC.014041vF): TOS Protocol and Procedure: Breeding Landbird Abundance and Diversity and science design [NEON.DOC.000916](http://data.neonscience.org/api/v0/documents/NEON.DOC.000916vB): TOS Science Design for Breeding Landbird Abundance and Diversity.
description: Each grid was sampled 2-3 times between May and July 2012. Point counts are six minutes long, with each minute tracked by the observer, following a two-minute settling-in period. All birds are recorded to species and sex, whenever possible, and the distance to each individual or flock is measured with a laser rangefinder, except in the case of flyovers. Notable birds observed outside of the point count window or the specified sampling locations are denoted with a point_id of ‘88’.
DOI: 10.48443/9b5w-cr90
title: NEON prototype bathymetric sonar data from D03 BARC, 2011

description: The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
description: Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
DOI: 10.48443/rj26-7m68
title: NEON prototype bathymetric sonar data from D03 FLNT, 2016

description: The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
description: Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
DOI: 10.48443/nqxf-qj79
title: NEON prototype bathymetric sonar data from D02 SUGG, 2011

description: The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
description: Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.
DOI: 10.21227/6kgt-1131
title: Student Scores

description: This data sets consists of continuous Assessments of students. This includes Exam 1. Exam 2, classwork, and homeworks in a course.These data can be used to predict whether a student will fail or pass the course before the final exam is written
DOI: 10.48443/th7x-qp47
title: NEON prototype bathymetric sonar data from D03 BARC, 2014 (September)

description: The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps.
description: Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.