cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48443/f1ks-ks97
title: NEON vegetation characterization data from multiple sites, 2015 - 2017

description: In advance of initiating sampling at each NEON site, surveys of plant presence, abundance and biomass were conducted in the Tower airshed. The data collected were used to 1) test measurement protocols, 2) evaluate effect of plot size biomass estimates, 3) generate initial species lists, and 4) select species for plant phenology observation. Data were collected by NEON personnel, within established Tower plots.  Only three Tower plots at each site will be surveyed for diversity in full NEON Operations. See the NEON Site characterization reports for more details about this dataset.
description: All diversity surveys were conducted within the nested subplot 'Peet plot' design, species abundance was reported as percent cover within one to four 1 m2 sampling areas in each plot; species presence/absence for all additional species was reported within the 10-100 m2 subplot.  Data were collected according to the same protocol used for the plant diversity data product but without measurement of height, potentially fewer cover classifications for variables other than vascular plants, and only one of the larger sampling areas (10 m2 or 100 m2) was used to search for novel species not found in the 1 m2 area assessed for percent cover.
DOI: 10.48443/vx5d-7n77
title: NEON Prototype data: Vegetation characterization data from multiple sites, 2012-2013

description: In advance of initiating sampling at each NEON site, surveys of plant presence, abundance and biomass were conducted in the Tower airshed. The data collected were used to 1) test measurement protocols, 2) evaluate effect of plot size biomass estimates, 3) generate initial species lists, and 4) select species for plant phenology observation. Data were collected by an external contractor, within temporary plots, some of which were later established for sampling in operations. Tree data for SCBI are not presented here; for characterization purposes, NEON utilized existing data from the Smithsonian Conservation Biology Institute (SCBI) Large Forest Dynamics Plot (Bourg, N. A., W. J. McShea, J. R. Thompson, J. C. McGarvey, and X. Shen. 2013. Initial census, woody seedling, seed rain, and stand structure data for the SCBI SIGEO Large Forest Dynamics Plot. Ecology 94:2111–2112. doi: http://dx.doi.org/10.1890/13-0010.1). See NEON site characterization reports for more information about these datasets.
description: All diversity surveys were conducted within the nested subplot 'Peet plot' design, species abundance is reported as percent cover within one to four 1 m2 sampling areas in each plot; species presence/absence for all additional species is reported within the 10-100 m2 subplot.  Vegetation structure measurements were collected in 2-4 subplots within each sampled plot. Measurement methods are consistent with USFS Forest Inventory Analysis protocols, reported in metric units.
DOI: 10.48443/8bg5-7397
title: NEON Prototype Aquatic Periphyton, Seston, and Phytoplankton Chemical Properties Data from 2014-2016

description: This data product contains the quality-controlled, native sampling resolution data from NEON's aquatic periphyton, seston, and phytoplankton collection and field metadata, as well as associated taxonomic, morphometric, and count analyses data provided by a contracted lab. Benthic and water column field samples are collected in wadeable streams, rivers, and lakes three times per year during the growing season. Samples are processed at the domain support facility and separated into aliquots for taxonomic analysis (preserved in glutaraldehyde or Lugol's iodine) for shipment to an external facility, or filtered onto glass-fiber filters for biomass (ash-free dry mass). For additional details, see NEON.DOC.003045 AOS Protocol and Procedure: Periphyton, Seston, and Phytoplankton Sampling and NEON.DOC.001152: NEON Aquatic Sampling Strategy.
description: Periphyton, seston, and phytoplankton samples are collected three times per year at wadeable stream, river, and lake sites during aquatic biology bout windows, roughly in spring, summer, and fall. Samples are collected using the most approriate sampler for the habitat and substratum type, including rock scrubs, grab samples, and epiphyton. In wadeable streams, periphyton samples are collected in the two most dominant benthic habitat types (e.g. riffles, runs, pools, step pools), and seston samples are collected from the water column near the S2 sensor. In lakes, water-column phytoplankton samples are collected near the buoy, inlet, and outlet sensors using a Kemmerer sampler, and in littoral areas using the best benthic sampling method for the substratum type. In rivers, phytoplankton samples are collected near the buoy and two other deep-water locations using a Kemmerer sampler, and in littoral areas using the most benthic sampling method for the substratum type. All samples are subsampled at the domain support facility by filtering on glass-fiber filters then frozen and shipped to an external analytical facility for analysis.
DOI: 10.48443/x48m-mj74
title: NEON prototype reaeration data from Rio Guilarte (GUIL), 2015

description: This data product contains native sampling resolution data from NEON's wadeable stream reaeration sampling protocol. Grab samples of stream water at NEON aquatic sites are collected in streams at 4 sampling locations downstream of a continuous injection of an inert gas (SF6) and conservative tracer (NaCl or NaBr). Background samples are collected prior to tracer injection and are analyzed for background salt tracer concentrations. Plateau samples are collected once the tracer concentration reaches a constant concentration (as measured by conductivity) and 5 replicate samples from each station are analyzed for both salt and gas tracer concentrations. Data users should refer to the user guide for reaeration and salt-based discharge ([NEON_ReaerSaltBasedQ_userGuide_vA](http://data.neonscience.org/api/v0/documents/NEON_ReaerSaltBasedQ_userGuide_vA)) for suggestions on how to calculate reaeration rates from the published data packages. For additional details on NEON field and laboratory protocols, see the AOS Protocol and Procedure: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH).
description: Tracer injections of conservative salt and inert, volatile gas are completed 6-10 times per year to capture a range of flows at NEON wadeable stream sites. The first sampling station is located near sensor set #1 and the fourth sampling station is located near sensor set #2. Sampling stations #2 and #3 are approximately evenly spaced between sampling stations #1 and #4. The injection (drip) station is located far enough upstream of sampling station #1 that the tracer is well mixed within the stream channel for all sampling stations. Conductivity data loggers are located near sampling stations #1 and #4 as well to capture the rising limb and plateau in situ conductivity values. For more information see AOS Protocol and Procedure: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH)
DOI: 10.5517/ccdc.csd.cc26pt2t
title: CCDC 2046746: Experimental Crystal Structure Determination

description: Related Article: Priyabrata Biswal, Shaikh Samser, Prakash Nayak, Vadapalli Chandrasekhar, Krishnan Venkatasubbaiah|2021|J.Org.Chem.|86|6744|doi:10.1021/acs.joc.1c00476
DOI: 10.5517/ccdc.csd.cc26pt3v
title: CCDC 2046747: Experimental Crystal Structure Determination

description: Related Article: Priyabrata Biswal, Shaikh Samser, Prakash Nayak, Vadapalli Chandrasekhar, Krishnan Venkatasubbaiah|2021|J.Org.Chem.|86|6744|doi:10.1021/acs.joc.1c00476
DOI: 10.5517/ccdc.csd.cc23h70w
title: CCDC 1951047: 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.cc23h71x
title: CCDC 1951048: 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.cc23h72y
title: CCDC 1951049: 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.cc23h73z
title: CCDC 1951050: 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.cc23h7c7
title: CCDC 1951058: 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.cc23h7d8
title: CCDC 1951059: 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.cc23h7f9
title: CCDC 1951060: 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.cc23h7gb
title: CCDC 1951061: 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.cc23h7hc
title: CCDC 1951062: 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.cc26y07f
title: CCDC 2053664: Experimental Crystal Structure Determination

description: Related Article: Toshiyuki Sasaki, Shunichi Sakamoto, Emile R. Engel, Satoshi Takamizawa|2021|Cryst.Growth Des.|21|2920|doi:10.1021/acs.cgd.1c00089
DOI: 10.5517/ccdc.csd.cc26y08g
title: CCDC 2053665: Experimental Crystal Structure Determination

description: Related Article: Toshiyuki Sasaki, Shunichi Sakamoto, Emile R. Engel, Satoshi Takamizawa|2021|Cryst.Growth Des.|21|2920|doi:10.1021/acs.cgd.1c00089
DOI: 10.5517/ccdc.csd.cc2729pb
title: CCDC 2057801: Experimental Crystal Structure Determination

description: Related Article: Philipp Natho, Zeyu Yang, Lewis A. T. Allen, Juliette Rey, Andrew J. P. White, Philip J. Parsons|2021|Org.Biomol.Chem.|19|4048|doi:10.1039/D1OB00430A
DOI: 10.5517/ccdc.csd.cc272gkc
title: CCDC 2057952: Experimental Crystal Structure Determination

description: Related Article: Wojciech Drożdż, Anna Walczak, Artur R. Stefankiewicz|2021|Org.Lett.|23|3641|doi:10.1021/acs.orglett.1c01042
DOI: 10.5517/ccdc.csd.cc27315l
title: CCDC 2058498: Experimental Crystal Structure Determination

description: Related Article: Jian Quan, Zhong-Hui Chen, Xu Zhang, Jin-Yun Wang, Li-Yi Zhang, Zhong-Ning Chen|2021|Inorg.Chem.Front.|8|2323|doi:10.1039/D1QI00111F
DOI: 10.5517/ccdc.csd.cc27316m
title: CCDC 2058499: Experimental Crystal Structure Determination

description: Related Article: Jian Quan, Zhong-Hui Chen, Xu Zhang, Jin-Yun Wang, Li-Yi Zhang, Zhong-Ning Chen|2021|Inorg.Chem.Front.|8|2323|doi:10.1039/D1QI00111F
DOI: 10.5517/ccdc.csd.cc27317n
title: CCDC 2058500: Experimental Crystal Structure Determination

description: Related Article: Jian Quan, Zhong-Hui Chen, Xu Zhang, Jin-Yun Wang, Li-Yi Zhang, Zhong-Ning Chen|2021|Inorg.Chem.Front.|8|2323|doi:10.1039/D1QI00111F
DOI: 10.5517/ccdc.csd.cc27318p
title: CCDC 2058501: Experimental Crystal Structure Determination

description: Related Article: Jian Quan, Zhong-Hui Chen, Xu Zhang, Jin-Yun Wang, Li-Yi Zhang, Zhong-Ning Chen|2021|Inorg.Chem.Front.|8|2323|doi:10.1039/D1QI00111F
DOI: 10.5517/ccdc.csd.cc2227cs
title: CCDC 1908774: Experimental Crystal Structure Determination

description: Related Article: Jian Quan, Zhong-Hui Chen, Xu Zhang, Jin-Yun Wang, Li-Yi Zhang, Zhong-Ning Chen|2021|Inorg.Chem.Front.|8|2323|doi:10.1039/D1QI00111F
DOI: 10.5517/ccdc.csd.cc27319q
title: CCDC 2058502: Experimental Crystal Structure Determination

description: Related Article: Jian Quan, Zhong-Hui Chen, Xu Zhang, Jin-Yun Wang, Li-Yi Zhang, Zhong-Ning Chen|2021|Inorg.Chem.Front.|8|2323|doi:10.1039/D1QI00111F
DOI: 10.5517/ccdc.csd.cc2227dt
title: CCDC 1908775: Experimental Crystal Structure Determination

description: Related Article: Jian Quan, Zhong-Hui Chen, Xu Zhang, Jin-Yun Wang, Li-Yi Zhang, Zhong-Ning Chen|2021|Inorg.Chem.Front.|8|2323|doi:10.1039/D1QI00111F
DOI: 10.5517/ccdc.csd.cc2227fv
title: CCDC 1908776: Experimental Crystal Structure Determination

description: Related Article: Jian Quan, Zhong-Hui Chen, Xu Zhang, Jin-Yun Wang, Li-Yi Zhang, Zhong-Ning Chen|2021|Inorg.Chem.Front.|8|2323|doi:10.1039/D1QI00111F
DOI: 10.5517/ccdc.csd.cc2227gw
title: CCDC 1908777: Experimental Crystal Structure Determination

description: Related Article: Jian Quan, Zhong-Hui Chen, Xu Zhang, Jin-Yun Wang, Li-Yi Zhang, Zhong-Ning Chen|2021|Inorg.Chem.Front.|8|2323|doi:10.1039/D1QI00111F
DOI: 10.5517/ccdc.csd.cc272trx
title: CCDC 2058299: Experimental Crystal Structure Determination

description: Related Article: Shengzu Duan, Guogang Deng, Yujin Zi, Xiaomei Wu, Xun Tian, Zhengfen Liu, Minyan Li, Hongbin Zhang, Xiaodong Yang, Patrick J. Walsh|2021|Chemical Science|12|6406|doi:10.1039/D1SC00972A
DOI: 10.5517/ccdc.csd.cc26ymrk
title: CCDC 2054269: Experimental Crystal Structure Determination

description: Related Article: Hongjian Wang, Yonghong Ruan, Yu-Mei Lin, Haiping Xia|2021|Chemical Science|12|6315|doi:10.1039/D1SC01571K
DOI: 10.5517/ccdc.csd.cc274x0b
title: CCDC 2060291: Experimental Crystal Structure Determination

description: Related Article: Andrés Castro Ruiz, Krishna K. Damodaran, Sigridur G. Suman|2021|RSC Advances|11|16326|doi:10.1039/D1RA02909F
DOI: 10.5517/ccdc.csd.cc274x1c
title: CCDC 2060292: Experimental Crystal Structure Determination

description: Related Article: Andrés Castro Ruiz, Krishna K. Damodaran, Sigridur G. Suman|2021|RSC Advances|11|16326|doi:10.1039/D1RA02909F
DOI: 10.5517/ccdc.csd.cc274x2d
title: CCDC 2060293: Experimental Crystal Structure Determination

description: Related Article: Andrés Castro Ruiz, Krishna K. Damodaran, Sigridur G. Suman|2021|RSC Advances|11|16326|doi:10.1039/D1RA02909F
DOI: 10.48443/kpgh-1255
title: Megapit Soil Archive use data, 2013-2018

description: The dataset represents the enquiries and formal requests submitted to the Megapit Soil Archive during the period of 2013-2018. It includes the sites and soil horizons requested, quantity of soil requested, whether the request was approved, and how they heard about the archive.
description: NA
DOI: 10.5517/ccdc.csd.cc274x3f
title: CCDC 2060294: Experimental Crystal Structure Determination

description: Related Article: Andrés Castro Ruiz, Krishna K. Damodaran, Sigridur G. Suman|2021|RSC Advances|11|16326|doi:10.1039/D1RA02909F
DOI: 10.48443/gxv7-1w10
title: NEON Decommissioned Site data: Soil chemical and physical properties (Megapit) from D04 MAME site

description: Soil chemical (and physical) properties (Megapit): Soil chemical and physical properties are measured by horizon from a single temporary soil pit at each terrestrial site at depths of up to 200 cm at non-permafrost sites (up to 300 cm at Alaskan sites). Soil properties affect the movement of soil water and nutrients through the soil profile and their availability to plants and soil organisms. In addition, these properties relate to the storage and accessibility of nutrients in the soil and influence biogeochemical cycling rates. The sampling location is expected to be representative of the NEON sensor-based soil plots and this sampling activity is expected to occur once at each NEON terrestrial site. Additional soil samples collected from the same soil pit are archived in the NEON Megapit Soil Archive and are available upon request.
description: Soil physical properties (Megapit): Soil taxonomy, horizon names, horizon depths, as well as soil bulk density and texture (sand, silt, and clay content) in the <= 2 mm soil fraction for each soil horizon. 

Soil chemical properties (Megapit): Total content of a range of chemical elements, pH, and electrical conductivity in the <= 2 mm soil fraction for each soil horizon.
DOI: 10.48443/j1hp-f273
title: NEON Decommissioned Site data: Root sampling, chemistry, and isotopes (Megapit) from D04 MAME site

description: Root sampling (Megapit):
This data product contains the quality-controlled, native sampling resolution data from NEON's belowground plant biomass sampled from the megapit. Soil samples were collected at 10 cm depth increments to the first 100 cm below the surface, then 20 cm depth increments thereafter, along three vertical profiles from a single temporary soil pit at a location expected to be representative of NEON sensor-based soil plots. This sampling activity is expected to occur once at each NEON terrestrial site. Additional belowground plant biomass samples collected from the same soil pit are archived and are available upon request.
Root chemical properties and Root stable isotopes: This data product contains the quality-controlled, native sampling resolution data from NEON's measurement of carbon and nitrogen concentrations, and stable isotope values of carbon and nitrogen, in root biomass. Samples are collected once from a single deep (2 meter) pit in the vicinity of the NEON Tower and soil sensors in 10-20 cm depth increments. For soil pit sampling, roots are sieved, sorted into two size categories, and both live and dead roots are analyzed. If sufficient mass is present, additional root material is archived and available upon request.
description: Root sampling (Megapit): Fine root chemistry from cores or pits. Data are reported by size class.

Root stable isotopes: Fine root stable isotope values from cores or pits. Data are reported by size class.
DOI: 10.48443/n6q8-tj34
title: Soil microbial biomass: Comparison of methods conducted at SOAP & SJER sites (D17), 2013

description: The soil microbial biomass prototype study was carried out in order to evaluate the methods commonly used for measuring microbial biomass. A field sampling campaign was carried out to collect soil samples and analyze samples using chloroform fumigation, substrate-induced respiration (SIR), traditional and high-throughput phospholipid fatty acid (PLFA) analysis, quantitative PCR (qPCR), and direct counts. This study was conducted at the NEON Soaproot (SOAP) and San Joaquin Experimental Range (SJER) sites, which are located in NEON Domain 17.
description: SIR was performed by incubating fresh soil following the addition of a yeast solution and measuring CO2 evolution in the headspace over time, up to 5.5 hours. Traditional PLFA extraction was carried out following the method in Gomez et al (2014). The high-throughput 96-well plate PLFA extraction method followed Buyer and Sasser (2012). Identification and quantification was performed using GC-MS. Fatty acids were summed into biomarker groups cf. Buyer and Sasser (2012). Chloroform fumigation was conducted on field moist, 5-day old, 2mm sieved samples, followed by extraction with 0.5M K2SO4 and measurement of the TOC and TN content in the extracts of fumigated and non-fumigated control samples. Microbial biomass-C and N is estimated from the difference between fumigated and non-fumigated extracted samples. Method was adopted from Brookes, et al. (1985) and Vance et al (1987). Direct count slides were made using the methods of Bloem (1995) as adapted by Frey et al (1999). 10ml of a soil solution diluted 1:100 (5g soil mass) was added to each of 5, 6mm diameter wells on a slide.  Bacteria slides were stained with DTAF and Fungi slides were stained with calcifluor M2R. Direct counts were made using epifluoresence microscopy. Bacteria were counted, 10 images per well, 2 wells per sample. Fungal hyphal length (Lodge 1991) was estimated using the formula of Newman (1966). A total of 2 wells were counted, each with 30 images used. The qPCR method was adopted from Fierer et al (2005).
DOI: 10.48443/kxbf-ff55
title: NEON Prototype Chemical Properties of Surface Water, all sites from 2010-2012

description: This data product contains the quality-controlled, native sampling resolution data from NEON's surface water chemistry sampling protocol. Subsamples are analyzed at NEON domain headquarters for alkalinity and acid neutralizing capacity (ANC); other subsamples are sent to external facilities for a broad suite of analytes, including dissolved and total nutrients and carbon, cations and anions, and general chemistry. For additional details on NEON field and laboratory protocols, see the AOS Protocol and Procedure: Water Chemistry Sampling in Surface Waters and Groundwater (NEON.DOC.002905).
description: Grab samples of surface water at NEON aquatic sites are collected in streams 26 times per year and 12 times per year in lakes. 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. In lakes, samples are collected approximately monthly and to capture ice-on and ice-off 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/krrw-ww73
title: Identified invertebrate bycatch from beetle pitfall traps at SJER and SOAP, 2017 - 2018

description: Normal protocol procedure results in species-level (where possible) identifications of all carabid beetles collected from pitfall traps deployed at distributed plots within terrestrial sites. Any vertebrate bycatch (herptiles and mammals) are also identified to species level (where possible) per IACUC requirements. However, incidental captures of non-carabid invertebrates are typically not enumerated or identified (except in the case of rare, threatened or endangered invertebrates). Because of California permitting requirements, NEON was obligated to enumerate and identify the contents of invertebrate bycatch samples to report to the state. Taxonomic analysis was coarse, typically breaking down identifications to order (for insects) and broader categories for non-insects. Groups included: Arthropoda sp., Myriapoda sp., Arachnida sp., Insecta sp., Collembola sp., Coleoptera sp., Diptera sp., Hymenoptera sp., Lepidoptera sp., Orthoptera sp., Thysanoptera sp., and Formicidae sp.
description: Sampling occurred according to the design laid out in the ground beetle science design. Collection was performed exactly as is typical for the typical ground beetle data product. https://data.neonscience.org/data-products/DP1.10022.001 The primary difference is that these records contain additional taxonomy and enumerance of non-carabid invertebrates of select groups.