cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7tt4q67
title: Natural gas and oil drilling disturbance in the Marcellus Shale region of the New York - Pennsylvania border

description: The data comprise the initial release of landscape disturbance polygons and lines (sites, pipelines and roads) related to natural gas and oil drilling developed prior to the end of 2013 in the 10-county region along the New York - Pennsylvania border. The study area includes the New York Counties of Allegany, Broome, Chemung, Steuben and Tioga, and the Pennsylvania counties of Bradford, McKean, Potter, Susquehanna, and Tioga. The data were collected using high-resolution aerial imagery from the National Agricultural Imagery Program (NAIP) for each available year between 2004 - 2013 within a geographic information system (GIS), along with additional geospatial data on oil and gas drilling permits and locations, administrative boundaries, ecoregions, and the footprint of the Marcellus Shale play. Data collection was a manual process of visually examining the NAIP imagery composite for each county for each year and using 2004 imagery as a baseline to identify and digitize landscape changes in the land cover resulting from the development of gas extraction infrastructure that occurred after 2004. Changes that correlated with natural gas extraction permits, appeared to be natural gas extraction related, or were in proximity to other gas extraction infrastructure were selected and digitized to the maximum extent of landscape disturbance. Disturbance that appeared in the 2004 imagery was collected; however, some of the collected disturbance for 2004 may predate the NAIP imagery collection date. The focus of the data collection was on features attributable to the construction, use, and maintenance of gas extraction drill sites, processing plants, and compressor stations, as well as the centerlines for new roads accessing such sites, plants, and stations, and the centerlines for new pipelines used to transport the extracted gas. Some of the roads and or pipelines may predate the data collection, however they appeared to be either expanded or worked on in relation to oil or gas activities in the study area. These data were collected within shapefiles by county, using ArcGIS 10.5. One shapefile was generated for sites (polygons), one was generated for roads (lines), and one was generated for pipelines (lines). Another team member reviewed the data for concurrence and consistency. These data identify disturbance related to natural gas and oil drilling, but do not identify the well types associated with that disturbance. For well type, see the New York Department of Environmental Conservation downloadable well data webpage (https://www.dec.ny.gov/energy/1603.html) or the Pennsylvania Department of Environmental Protection Oil and Gas Permit Database available at their web page (http://data-padep-1.opendata.arcgis.com/datasets?q=Oil%20&amp;amp;%20Gas).
DOI: 10.18112/openneuro.ds003437.v1.0.0
title: Protecting the Aging Brain - Diet-Study
DOI: 10.5066/p9n23xj6
title: Database for the geologic map of Lassen Volcanic National Park and vicinity, California
DOI: 10.21258/1630779
title: Inventario forestale nazionale svizzero - Tabella n. 897063
DOI: 10.5066/f79g5kp4
title: Datasets and metadata for estimates of nitrate loads and yields from groundwater to streams in the Chesapeake Bay watershed based on land use and geology

description: This USGS data release contains datasets, metadata, and figures associated with estimating nitrate loads and yields from groundwater to streams in the Chesapeake Bay watershed based on land use and geology. There are three shapefiles with associated metadata and figures representing the shapefiles: Catchments_GWcontribN.shp: NHDPlus catchment estimates of groundwater contribution of nitrate to streams in the Chesapeake Bay watershed HUC12_GWcontribN.shp: HUC 12 estimates of groundwater contribution of nitrate to streams in the Chesapeake Bay watershed Sites_GWcontribN.shp: Sites with baseflow measurements for nitrate plus nitrite within the Chesapeake Bay watershed These data support the following publication: Terziotti, Silvia, Capel, P.D., Tesoriero, A.J., Hopple, J.A., and Kronholm, S.C., 2017, Estimates of nitrate loads and yields from groundwater to streams in the Chesapeake Bay watershed based on land use and geology: U.S. Geological Survey Scientific Investigations Report 2017-5160, 20 p., https://doi.org/10.3133/sir20175160.
DOI: 10.5066/p94n6dlv
title: Data to investigate measurement of nutrients in saline and hypersaline waters by discrete analyzer colorimetry without matrix matched calibration standards

description: The dataset consists of two spreadsheets of data for water samples of varying salinity. One spreadsheet contains measured concentrations of nutrients in filtered water samples that were corrected for salinity effects when necessary, and measured concentrations of nutrients spiked into environmental samples or blank water that were corrected for salinity effects when necessary. The second spreadsheet contains measured concentrations of ammonia and silica in filtered water samples without the salinity correction applied, and measured concentrations of ammonia and silica spiked into environmental samples or blank water without the salinity correction applied.
DOI: 10.21258/1657642
title: Inventario forestale nazionale svizzero - Tabella n. 897974
DOI: 10.21258/1667740
title: Inventario forestale nazionale svizzero - Tabella n. 891823
DOI: 10.21258/1653567
title: Inventario forestale nazionale svizzero - Tabella n. 899128
DOI: 10.25919/yeys-sc10
title: Parkes pulsar observations with undefined project IDs for 2020_15

description: Parkes pulsar observations with undefined project IDs for 2020. This collection contains data from the ToO project PX603.
DOI: 10.21258/1630126
title: Inventario forestale nazionale svizzero - Tabella n. 897103
DOI: 10.5066/p9zrx948
title: National Water Model V1.2 Retrospective and Operational Model Run Archive for Selected NWIS Gage Locations

description: This dataset contains modeled hourly streamflow at each about eighteen thousand selected operational and water quality stream gage locations. It was assembled from publicly available retrospective and operational V1.2 National Water Model outputs. The streamflow variable was extracted from model output files and the data were reshaped to optimize read performance. The stream gage locations were derived from several ongoing USGS projects using gages for evaluation of streamflow, water quality, and real-time monitoring however only National Water Model identifiers and NHDPlus catchment outlet locations are used to identify model results. Relationships between NWIS gages and National Water Model prediction locations were not reviewed for release at the time of publication of this data. Please contact the author for up to date information. All processing resources used for data reformatting and extraction can be found in this repository: https://code.usgs.gov/water/nwm_subset. This supporting code also contains Docker images that are capable of processing real-time National Water Model outputs into similar formats as are in this dataset and providing data services via the THREDDS Data Server. The retrospective is available in one NetCDF file. The operational model run archives are available in .tar.gz archives that contain daily Forecast Model Run Collection files. These data conform as much as possible to the NetCDF-CF Discrete Sampling Geometry conventions and are designed to be aggregated along the reference-time dimension allowing creation of a complete collection of forecast model runs with the THREDDS data server. The retrospective data are available from public cloud data outlets (Such as: https://registry.opendata.aws/nwm-archive/) and the operational outputs were retrieved from an archive maintained at the NOAA National Water Center in Tuscaloosa, AL. Note that some data were missing from this archive, on 5-8-2018 for all operational outputs and 7-17-2017 for long range outputs. The operational model runs include analysis and assimilation, short range, medium range, and an ensemble of four long range model runs. More information on these data are available from the National Water Model v1.2 release notes here. http://www.nws.noaa.gov/os/notification/scn18-16national_water_model.htm. The contents of that html page have been archived with this dataset. The retrospective model run is available from: https://docs.opendata.aws/noaa-nwm-pds/readme.html. The precise data included here should match that exactly but was sourced from NOAA-OWP systems at the National Water Center prior to availability of data from Amazon Public Datasets.
DOI: 10.21227/9n19-xs70
title: 1.88kW BLDC Sensorless FOC with Adaptive Sliding Mode Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".The results contained in this dataset are graphs which give intutive idea on the control characteristics, whether the pole/zero is on the imaginary axis or the right half plane. The switching frequency for these controllers is generally 20 kHz or more.In this dataset, switching frequency has been increased from 20 kHz to 1MHZ , at 26 different PWM frequencies and the comparison of the resulting characteristics are drawn.BLDC motors ae used in medical industry ,ventillators, solar trackers, CNC servodrives, industrial robots, automative, electric vehicles- autos, rickshaws etc.Using this dataset, any industrial engineer can decide whether to run at that frequency or not. So, this study comes in handy to decide when designing in practice for industries and also for academia purposes.The speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) with the addition of SMO observer which gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) at different frequencies.PWM switching frequency is varied 26 times from 20 kHz to 1 MHz , - will help decide MOSFETs switching frequency.Of course, the Rdson, dc link inverter voltage ,other practical parameters etc has been taken into consideration (not submitted here) bu some analysis related to it,you may find in the authors Transaction paper.Separate results at all these 26 frequenciesStability Margins - Gain/PhaseOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationAll this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.
DOI: 10.6073/pasta/ad73788f7de08305175c77228b73e525
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-10 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-10 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.21258/1664135
title: Inventario forestale nazionale svizzero - Tabella n. 897530
DOI: 10.6073/pasta/a4e413eb862351565501fad7bac1ae78
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-11 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-11 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.21258/1636127
title: Inventario forestale nazionale svizzero - Tabella n. 891874
DOI: 10.6073/pasta/2d3eb74fba5235d3c617a61c14ecdb82
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-13 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-13 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.21258/1660044
title: Inventario forestale nazionale svizzero - Tabella n. 898213
DOI: 10.21258/1671711
title: Inventario forestale nazionale svizzero - Tabella n. 899549
DOI: 10.6073/pasta/779fd6fad3ef5f3c29805fa9aee1ec71
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-14 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-14 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.6073/pasta/cf1e7ea83f2b6f08f8e20cdd4da015cc
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 15 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-15 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-15 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.6073/pasta/2aedb4da5a0f1a1fd6406e54afda283f
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 2 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-2 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-2 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.21258/1637613
title: Inventario forestale nazionale svizzero - Tabella n. 892950
DOI: 10.6073/pasta/991571675f549a42023329d12652b542
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 3 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-3 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-3 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.6073/pasta/e698cf74e0eb152f6eabafe91aac53ed
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 4 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-4 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-4 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.6073/pasta/f0a3dd6062da0e9bec3fb6ca2bbe0095
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 5 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-5 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-5 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.6073/pasta/fc319482e6da257053ae61402f3c1055
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 6 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-6 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-6 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.6073/pasta/a02707a8f0b13a4174ebd1f9de3cf0ef
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 7 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-7 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-7 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.21258/1658969
title: Inventario forestale nazionale svizzero - Tabella n. 891948
DOI: 10.6073/pasta/2fcf08abdf861319dc7f8ddf38c68394
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 8 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-8 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-8 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.21258/1646463
title: Inventario forestale nazionale svizzero - Tabella n. 891830
DOI: 10.6073/pasta/f62764d2dab89c603cbdc16a6a1b90a6
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-9 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-9 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.