cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3885131
title: MPU9250 MEMS IMU Sine wave acceleration excitation along the Z axis

description: <strong>MPU9250 MEMS IMU Sine wave acceleration excitation along the Z axis</strong> The file Met4FOF_mpu9250_Z_Acc_10_hz_250_hz_6rep_ADC.dump contains a dump of the ADC protbuff messages recorded by the Met4FoF dataaqusition unit during the calibration measurement. The ADC is sampled synchronously to the data ready signals of the MPU9250. The file Met4FOF_mpu9250_Z_Acc_10_hz_250_hz_6rep_Sensor.dump contains a dump of the MPU9250 protbuff messages recorded by the Met4FoF dataaqusition unit during the calibration measurement. Met4FOF_mpu9250_Z_Acc_10_hz_250_hz_6rep.xlsx contains the accelerations recorded by the PTB refferenzsystem for each measurement run. The phase is referred to the analog reference values in the channel Data_11 Met4FOF_mpu9250_Z_Acc_10_hz_250_hz_6rep.csv contains the values from the excel table in panda readable form. 1FE4_AC_CAL.zip contains various measurements of the ADC transfer function as JSON files.
description: This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.3885175
title: Data availability file

description: Occurance and climate data, Morphometry data, Biomechanical data to <em>Delosperma ecklonis</em> and <em>Delosperma cooperi</em>
DOI: 10.5281/zenodo.3885176
title: Data availability file

description: Occurance and climate data, Morphometry data, Biomechanical data to <em>Delosperma ecklonis</em> and <em>Delosperma cooperi</em>
DOI: 10.5281/zenodo.3885745
title: Open Data Articles of Journal of Contemporary Administration (Jul2018-Dec2020)

description: This table shows the list of articles with Open Data published by The Journal of Contemporary Administration between Jul2018-Dec2020. All of them are Open, without any kind of fee/cost.
DOI: 10.7910/dvn/9argzn/1hopmo
title: Model_ic_19_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/4kxrbb
title: Model_oc_120_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/5pq3ce
title: Model_oc_92_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/5uw3iu
title: Model_ic_52_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/b3spfa
title: Model_ic_54_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/bjrrpm
title: Model_oc_62_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/bn9bbo
title: Model_oc_62_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/byaf8s
title: Model_oc_98_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/dumzb5
title: Model_oc_178_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/f1lfgh
title: Model_oc_198_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/h7b0y2
title: Model_ic_52_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/jdqbdg
title: Model_ic_48_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/jh1gwr
title: Model_ic_27_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/kpmtz5
title: Model_oc_71_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/mp55dm
title: Model_oc_274_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/mtwky9
title: Model_oc_23_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/o4flu8
title: Model_ic_38_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ohqsnp
title: Model_oc_69_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/r4dtrp
title: Model_ic_16_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/rav5bx
title: Model_ic_6_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/rsvuzr
title: Model_oc_12_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ryhads
title: Model_oc_54_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/stqokj
title: Model_oc_138_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/td8ipt
title: Model_ic_27_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/v4n5pe
title: Model_ic_10_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/vee8k9
title: Model_oc_224_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/vk7e2o
title: Model_ic_5_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/xydo6h
title: Model_oc_34_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ycuomy
title: Model_oc_63_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/yei7dw
title: Model_ic_24_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/zb4aeb
title: Model_ic_49_M&A (v0=1e14).tab

description: :unav
DOI: 10.5281/zenodo.3885397
title: Digital Elevation Models for use with Fogpy

description: Digital Elevation Models (DEMs) in geotiff format. One for central Europe and one for northeast USA. <strong>Data sources</strong> Central Europe: EU-DEM v1.1 (Copernicus Land Monitoring Service) USA: USGS National Map <strong>Data processing</strong> Data were processed with GDAL. After collecting the required source files in geotiff, the final file was produced with two steps: <pre>gdal_merge.py -o merged.tif */*.tif</pre> <pre>gdalwarp -r bilinear -t_srs '+proj=eqc +lat_ts=0 +lat_0=0 +lon_0=0 +x_0=0 +y_0=0 +ellps=WGS84 +units=m +no_defs +type=crs' -tr 500 500 merged.tif merged-2-500.tif</pre> <strong>Context</strong> These elevation models are needed by Fogpy, a satellite fog retrieval package within the Pytroll satellite processing set of tools.
DOI: 10.5281/zenodo.3885398
title: Digital Elevation Models for use with Fogpy

description: Digital Elevation Models (DEMs) in geotiff format. One for central Europe and one for northeast USA. <strong>Data sources</strong> Central Europe: EU-DEM v1.1 (Copernicus Land Monitoring Service) USA: USGS National Map <strong>Data processing</strong> Data were processed with GDAL. After collecting the required source files in geotiff, the final file was produced with two steps: <pre>gdal_merge.py -o merged.tif */*.tif</pre> <pre>gdalwarp -r bilinear -t_srs '+proj=eqc +lat_ts=0 +lat_0=0 +lon_0=0 +x_0=0 +y_0=0 +ellps=WGS84 +units=m +no_defs +type=crs' -tr 500 500 merged.tif merged-2-500.tif</pre> <strong>Context</strong> These elevation models are needed by Fogpy, a satellite fog retrieval package within the Pytroll satellite processing set of tools.
DOI: 10.6073/pasta/75218b37fd668b55b0d93ce10b930877
title: Tide Data for Hog Island (1991-), Redbank (1992-), Oyster (2007-)

description: Tide data from VCR/LTER tide stations. It is available as a single large comma-separated-value file (size &gt;50MB) or as individual years. Zip files contain annually-segmented data in two forms. The file tideYY.dat contains the data for year YY in a column format. The file tideYY.csv contains the same data in a comma-delimited format. For several sites and time periods, water temperatures are also recorded. All dates and times are in Eastern Standard Time.
DOI: 10.7910/dvn/9argzn/4bmacx
title: Model_ic_55_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/5klbcp
title: Model_oc_7_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/axaiic
title: Model_ic_21_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/bimack
title: Model_oc_36_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/dyfqry
title: Model_oc_33_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/egc95o
title: Model_oc_80_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ej0egi
title: Model_oc_15_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ekyh5c
title: Model_oc_75_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/fo0vue
title: Model_ic_30_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/fwm38e
title: Model_oc_82_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/gboyfw
title: Model_oc_63_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/hcecrh
title: Model_oc_42_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/hkesri
title: Model_oc_26_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/hpp4yc
title: Model_ic_21_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/hzutna
title: Model_ic_46_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/irdekc
title: Model_oc_46_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/jhdxky
title: Model_ic_37_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/jupmle
title: Model_oc_91_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/mjvfjn
title: Model_oc_97_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/prn40a
title: Model_ic_33_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/qe5mja
title: Model_oc_53_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/rjzc4r
title: Model_oc_95_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/rsd07g
title: Model_ic_23_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/t6goms
title: Model_oc_71_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/v5w2k2
title: Model_oc_11_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/vussru
title: Model_oc_61_M&A (v0=1e14).tab

description: :unav
DOI: 10.5281/zenodo.3885480
title: plan4res - public dataset for case study 1 part MIM-1: time series used for multi-modal investment pathway modelling

description: Public data set which is used within the plan4res project for performing case study 1 "Multi-modal European energy concept for achiving COP21" - Multi-modal Investment modelling (MIM) Part 1: Time series for the reference year 2015 The related documentation is included in plan4res' deliverable D4.5 chapter 3.2 (see 10.5281/zenodo.3785010) The data set includes the following data: a) characteristic annual load profiles for large industrial heat demand for chemical, iron & steel, food & beverage and pulp & paper industries for the reference year 2015 HOTMAPS__TD_OUT_D_CHEM__20200608T160653__20200422T120000Z__v01.csv <br> HOTMAPS__TD_OUT_D_FOOD__20200608T160724__20200422T120000Z__v01.csv <br> HOTMAPS__TD_OUT_D_IRON__20200608T160705__20200422T120000Z__v01.csv HOTMAPS__TD_OUT_D_PAPER__20200608T160715__20200422T120000Z__v01.csv b) characteristic demand profiles for road-side car passenger transport and availability of cars for charging while (home) parking for the reference year 2015 SIEMENS__TD_OUT_D_RoadCar__20200608T160627__20200401T120000Z__v01.csv SIEMENS__TD_CAP_CarPark__20200608T160637__20200401T120000Z__v01.csv c) load profiles for exogeneous demand of electricity for the reference year 2015. The exogenous demand includes all electricity consumptions not explicitly modeled within MIM modeling. HRE4__TD_OUT_ElectricityExo__20200608T160732__20200401T120000Z__v01.csv c) regionally resolved demand profiles for (individual) space heating and space cooling for the reference year 2015 HRE4__TRD_CAP_Cool_2015__20200608T160051__20200401T120000Z__v01.csv <br> HRE4__TRD_CAP_HeatInd_2015__20200608T155849__20200401T120000Z__v01.csv d) regionally resolved generation profiles of electricity from photovoltaic, wind onshore, wind offshore, hydro run-of-river, and for heat generation from solar thermal for the reference year 2015 NINJA__TRD_CAP_PV_2015__20200608T160440__20191104T120000Z__v01.csv <br> NINJA__TRD_CAP_WindOFF_2015__20200608T155422__20191104T120000Z__v01.csv <br> NINJA__TRD_CAP_WindON_2015__20200608T155251__20191104T120000Z__v01.csv HRE4__TRD_CAP_HydroRoR_2015__20200608T155550__20200401T120000Z__v01.csv <br> HRE4__TRD_CAP_SolarThermal_2015__20200608T155718__20200401T120000Z__v01.csv e) regionally resolved generation profile of electricity from wind offshore transformed in a way to represent potential capacity factors in future as stated by doi:10.2760/041705. Data based on reference year 2015 SIEMENS__TRD_CAP_WindOFF_2040__20200608T155127__20200401T120000Z__v01.csv x) A list of geographical description of the zone hierarchy data used in MIM for the EU33 region set.: SIEMENS__ZoneHierarchy_MIM_EU33__20181231T120000Z___20200131T1200000Z__v001.csv Further info: Time series are based on historical data for the reference year 2015. Values are normalized over one reference year in a way that either the maximum = 1 (CAP) or the integral = 1 (OUT). All values are listed in arbitrary units. All country names are according to ISO 3166-1 alpha-2.
DOI: 10.5281/zenodo.3885481
title: plan4res - public dataset for case study 1 part MIM-1: time series used for multi-modal investment pathway modelling

description: Public data set which is used within the plan4res project for performing case study 1 "Multi-modal European energy concept for achiving COP21" - Multi-modal Investment modelling (MIM) Part 1: Time series for the reference year 2015 The related documentation is included in plan4res' deliverable D4.5 chapter 3.2 (see 10.5281/zenodo.3785010) The data set includes the following data: a) characteristic annual load profiles for large industrial heat demand for chemical, iron & steel, food & beverage and pulp & paper industries for the reference year 2015 HOTMAPS__TD_OUT_D_CHEM__20200608T160653__20200422T120000Z__v01.csv <br> HOTMAPS__TD_OUT_D_FOOD__20200608T160724__20200422T120000Z__v01.csv <br> HOTMAPS__TD_OUT_D_IRON__20200608T160705__20200422T120000Z__v01.csv HOTMAPS__TD_OUT_D_PAPER__20200608T160715__20200422T120000Z__v01.csv b) characteristic demand profiles for road-side car passenger transport and availability of cars for charging while (home) parking for the reference year 2015 SIEMENS__TD_OUT_D_RoadCar__20200608T160627__20200401T120000Z__v01.csv SIEMENS__TD_CAP_CarPark__20200608T160637__20200401T120000Z__v01.csv c) load profiles for exogeneous demand of electricity for the reference year 2015. The exogenous demand includes all electricity consumptions not explicitly modeled within MIM modeling. HRE4__TD_OUT_ElectricityExo__20200608T160732__20200401T120000Z__v01.csv c) regionally resolved demand profiles for (individual) space heating and space cooling for the reference year 2015 HRE4__TRD_CAP_Cool_2015__20200608T160051__20200401T120000Z__v01.csv <br> HRE4__TRD_CAP_HeatInd_2015__20200608T155849__20200401T120000Z__v01.csv d) regionally resolved generation profiles of electricity from photovoltaic, wind onshore, wind offshore, hydro run-of-river, and for heat generation from solar thermal for the reference year 2015 NINJA__TRD_CAP_PV_2015__20200608T160440__20191104T120000Z__v01.csv <br> NINJA__TRD_CAP_WindOFF_2015__20200608T155422__20191104T120000Z__v01.csv <br> NINJA__TRD_CAP_WindON_2015__20200608T155251__20191104T120000Z__v01.csv HRE4__TRD_CAP_HydroRoR_2015__20200608T155550__20200401T120000Z__v01.csv <br> HRE4__TRD_CAP_SolarThermal_2015__20200608T155718__20200401T120000Z__v01.csv e) regionally resolved generation profile of electricity from wind offshore transformed in a way to represent potential capacity factors in future as stated by doi:10.2760/041705. Data based on reference year 2015 SIEMENS__TRD_CAP_WindOFF_2040__20200608T155127__20200401T120000Z__v01.csv x) A list of geographical description of the zone hierarchy data used in MIM for the EU33 region set.: SIEMENS__ZoneHierarchy_MIM_EU33__20181231T120000Z___20200131T1200000Z__v001.csv Further info: Time series are based on historical data for the reference year 2015. Values are normalized over one reference year in a way that either the maximum = 1 (CAP) or the integral = 1 (OUT). All values are listed in arbitrary units. All country names are according to ISO 3166-1 alpha-2.
DOI: 10.6073/pasta/052580ddc3fbb2ed0a89e5d9bde6e58b
title: Long-term N-fertilized vegetation plots on Hog Island, Virginia Coastal Barrier Islands, 1992-2014

description: This dataset contains results from a long-term fertilization study on the dunes of Hog Island, Virginia.
DOI: 10.6073/pasta/cb070921718de4d0e2c1bce0b691d010
title: Groundwater well data on Hog Island, Virginia Coastal Barrier Islands, 1990-2007

description: Groundwater well data on Hog Island, 1990-2007. For updated wirelessly-networked well data after July 2007 (the same wells and locations, but different technology and sampling interval), please see follow-up dataset VCR09169. Â
DOI: 10.7910/dvn/9argzn/0hgmq2
title: Model_ic_11_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/1b4rox
title: Model_ic_54_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/7yubsj
title: Model_oc_75_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/cpujmc
title: Model_ic_8_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/eenvyh
title: Model_oc_37_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/fu6yao
title: Model_oc_60_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/gfknf0
title: Model_oc_54_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/hkwfrc
title: Model_oc_46_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/huayxc
title: Model_ic_14_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/kd3t52
title: Model_ic_26_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/lyppsf
title: Model_oc_51_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/nynicv
title: Model_ic_60_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/nz98ir
title: Model_oc_51_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/odmqko
title: Model_oc_8_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/r7eeld
title: Model_oc_58_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/rwqofs
title: Model_oc_52_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/t2wj4v
title: Model_ic_4_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/tr9hys
title: Model_ic_58_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/u1vstc
title: Model_oc_21_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/vw1v2y
title: Model_oc_27_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/xd6w94
title: Model_ic_55_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ycfrwc
title: Model_oc_50_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/z8bfdg
title: Model_oc_73_V1 (v0=1e14).tab

description: :unav
DOI: 10.5281/zenodo.3873048
title: dataset#1

description: This data have been collected by dPHE team based on a list of keywords from different languages including English (en), Spanish (es), Chinese (zh-cn), Arabic (ar), Portuguese (pt), German (du), French (fr), Hungarian (hu), Czech (cs). DATASET #1
DOI: 10.5281/zenodo.3873049
title: dataset#1

description: This data have been collected by dPHE team based on a list of keywords from different languages including English (en), Spanish (es), Chinese (zh-cn), Arabic (ar), Portuguese (pt), German (du), French (fr), Hungarian (hu), Czech (cs). DATASET #1
DOI: 10.6073/pasta/15dbe08ae33b2285c017fcff41b9b60a
title: Stream Discharge for Cobb Mill Creek at the Virginia Coast Reserve 2002-2003 and 2010-2011

description: This dataset contains stream discharge data for Cobb Mill Creek for two 12-14 month-long time periods:Â from 02-28-2002 through 04-20-2003, and from 10-01-2010 through 9-30-2011.
DOI: 10.6073/pasta/34f61369239ae0ab13e17f196a9708e6
title: Phragmites distribution in 1996 on the Eastern Shore of Virginia

description: This dataset contains polygons outlining areas of Phragmites along the Atlantic Coast of Virginia on the Delmarva Peninsula. The basic data is in the UTM projection using NAD27, as it was digitized from USGS Quad sheets in that projection.
DOI: 10.6073/pasta/71c6650d8f2afadf35002b5b57b78689
title: Hog Island, VA shorelines and upland/marsh boundaries 1852-2001

description: Digital outlines of Hog Island VA for: 1852, 1871, 1910, 1919, 1943, 1967, 1980, 1990 and 1993. The coverage-ID field contains a number that allow distinguishing marsh from upland areas (typically 1=marsh, 2=upland). There are also .jpg image files containing browse images for the coverages. ///Â Update: John Porter added 2001 based on digitization of a 10/15/2001 IKONOS satellite image. The high tide line was digitized on the beach based on the edge of the wetted sand. For the marsh, the marsh-lagoon border was digitized. The upland/marsh boundary is not included for 2001. Original shapefiles (one per year) are in NAD27 UTM 18N. Update2: Dave Richardson combined shapefiles for individual years into a single shapefile with YEAR added as a distinguishing attribute. CLASS was added as a text string to describe the value of ID (0=Water, 1=Marsh, 2=Upland, or 3=Upland+Marsh). Finally, data was reprojected from UTM 18N NAD27 to UTM 18N WGS84 and the Area and Perimeter values recalculated. This is now the most up-to-date version of this dataset, and supercedesÂ dataset VCR97037.
DOI: 10.6073/pasta/c05a4188c7525404cb4d9c025831e7d1
title: Vegetation and Ground Cover of Permanent Plots for Upper Phillips Creek Marsh, Nassawadox, VA 1990-2014

description: Juncus roemerianus, the black needlerush, is a commonly found salt marsh plant. It exists especially in areas of little tidal inundation and low salinities. As such, it may play an important role in the accretion of marshes where sediment sources are not readily accessible. Biogenic accretion of marshes is a slow process representing the net result of production and decomposition. To study the process effectively requires long-term observations and experiments. We will initiate research at this site by selecting locations for study, collecting preliminary data on the locations, and designing long-term experiments. Plots for long-term observations will allow for analyses of changes in dominance of cover by plant species. We will choose plots to include the interface between J. roemerianus and other species and will follow changes at the interface.
DOI: 10.7910/dvn/9argzn/1uuyzh
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