cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/91fa4f292761bbe45aef529e0ce218a0
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-14. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-14 site. This is an ONGOING dataset.
DOI: 10.5519/qd.oguly9cp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.6084/m9.figshare.23713059
title: Hapmap genotypic data

description: THIS IS HAPMAP FILE
DOI: 10.48366/r601349
title: Motorcycle detection and tracking in ADAS

description: Motorcycle detection and tracking in Advanced Driver Assistance Systems (ADAS) is a critical component for enhancing safety and awareness on the road. This comparison outline some common approaches used for motorcycle detection and tracking.
DOI: 10.6073/pasta/fb7777c6f406e236913145580551fc7b
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-14 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/aa029df8f7a6091ea879ceb5c6673963
title: Plant species percent cover data: Successional Dynamics on a Resampled Chronosequence

description: The purpose of this observational study is to describe the dynamics of ecosystem succession. The change in the number, type, and amount of plant and grazing animal species is monitored in more than 20 fields. These fields were previously cultivated, but then abandoned from agriculture at various times in the past. The fields were left undisturbed for plants to develop from seeds within the soil or brought into the fields by wind or animals. Permanent transects have been established in these abandoned fields for purposes of sampling in a consistent location from year to year. Permanent plots along these transects have been used to sample soil nutrients, (in particular, nitrogen) abundance of vegetation, species composition and herbivore populations. The sampling occurs approximately every 6 years. In the initial survey, 100 quadrats of size 1 by 0.5 m were sampled per field in 23 different fields. Abandoned fields included in E014 are 4, 5, 10, 21, 24, 26, 27, 28, 32, 35, 39, 40, 41, 44, 45, 47, 53, 70, 72, 76, 77. Fields 22(B), 29(A), and 69(C) were originally included in E014 but used for other purposes shortly after the start of the study. This experiment was established in 1983 and 1989 by principal investigators Johannes Knops and David Tilman. Past work at CDR and elsewhere has demonstrated an overriding influence of fire frequency in maintaining prairie openings and oak savanna at the prairie-forest border. Fire regimes harm some types of species while favoring others and drive light and nutrient dynamics, which in turn drive community functional attributes and diversity levels. Ultimately, fire frequency interacts with climate, N deposition, land use, and biotic invasion to determine the outcomes of tree-grass interactions and the dynamics of vegetation at ecotones such as the prairie-forest border in Minnesota. In 2006 each field was divided in half, and one half randomly chosen for periodic prescribed burning (a fire every other year). We anticipate that the burned half will continue succession to prairie grassland while the unburned half will become white pine stands if seed sources are nearby, or will otherwise undergo extremely slow succession to oaks.
DOI: 10.6073/pasta/4f5913f9095b74945700d1dae93c0f16
title: Potentilla demographic and environmental data for Rocky Mountains of Colorado (Niwot LTER & RMBL), 2018 - 2020.

description: To understand parent-hybrid dynamics in cinquefoil (Potentilla) species in the Colorado Rocky Mountains, I am estimating environmental overlap among parents and hybrids, interbreeding among parents and hybrids, and hybrid population growth in multiple natural populations at NWT and the Rocky Mountain Biological Laboratory (RMBL). This data was collected to test broad hypotheses about hybrid-parent dynamics in changing montane environments.
DOI: 10.6073/pasta/a70886921b3805bcb6ce58f39d6bc6b4
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 15 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.3886/e192845
title: Polygamy Time Series Dataset 1995-2021

description: This dataset codes the status of polygamy in each country for the years 1995 to 2021.
description: Smallest Geographic Unit: Country
DOI: 10.3886/e192845v1
title: Polygamy Time Series Dataset 1995-2021

description: This dataset codes the status of polygamy in each country for the years 1995 to 2021.
description: Smallest Geographic Unit: Country
DOI: 10.6073/pasta/2fb836492aace4c13b7962f2718be8e5
title: Time series of dissolved methane and carbon dioxide concentrations for Falling Creek Reservoir and Beaverdam Reservoir in southwestern Virginia, USA during 2015-2021

description: Surface samples and depth profiles of carbon dioxide and methane concentrations were sampled during the ice-free period from 2015 to 2021 in two drinking water reservoirs in southwestern Virginia, USA: Beaverdam Reservoir (Vinton, Virginia) and Falling Creek Reservoir (Vinton, Virginia). Both reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia. The dataset consists of depth profiles of dissolved greenhouse gas (carbon dioxide, methane) samples measured at the deepest site of each reservoir adjacent to the dam. Additional samples were collected at a gauged weir on Falling Creek Reservoir's primary inflow tributary, as surface samples from a wetland adjacent to Falling Creek Reservoir, and from the reservoir outflow. At Beaverdam Reservoir, additional samples were collected at three outflow points below the dam. Samples were collected approximately fortnightly from March-April, weekly from May-October, and monthly in November at Falling Creek Reservoir and Beaverdam Reservoir. In 2019, surface samples along the stream and reservoir continuum from both Falling Creek Reservoir and Beaverdam Reservoir were collected monthly during the summer stratified period.
DOI: 10.6073/pasta/8d83ef7ec202eca9192e3da6dd34a4e0
title: Water chemistry time series for Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2013-2020

description: Depth profiles of dissolved organic carbon and total and dissolved nitrogen and phosphorus were sampled from 2013 to 2020 in five drinking water reservoirs in southwestern Virginia, USA. These reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the town of Pulaski, Virginia. The dataset consists of depth profiles of water chemistry samples measured at the deepest site of each reservoir adjacent to the dam. Additional water chemistry samples were collected at a gauged weir on Falling Creek Reservoir's primary inflow tributary, as well as surface samples at multiple upstream and inflow sites in Falling Creek Reservoir and Beaverdam Reservoir in 2019 and 2020. The water column samples were collected approximately fortnightly from March-April, weekly from May-October, and monthly from November-February at Falling Creek Reservoir and Beaverdam Reservoir, approximately fortnightly from May-August in most years at Carvins Cove Reservoir, and approximately fortnightly from 2014-2016 in Gatewood and Spring Hollow Reservoirs, though sampling frequency and duration varied among reservoirs and years. Depth profiles of dissolved inorganic carbon were also collected from 2018-2020, but the analytical method for this analyte is still in development and these should be considered as preliminary data only.
DOI: 10.6073/pasta/8d22a432aac5560b0f45aa1b21ae4746
title: Discharge time series for the primary inflow tributary entering Falling Creek Reservoir, Vinton, Virginia, USA 2013-2021

description: Discharge rates and water temperature of the primary inflow tributary into Falling Creek Reservoir (Vinton, Virginia, USA) were measured at a gauged weir on a 15-minute temporal resolution from May 2013 to Jan 2021. Falling Creek Reservoir is a drinking water supply reservoir owned and managed by the Western Virginia Water Authority (WVWA). The dataset consists of water temperatures and discharge rates calculated from a pressure transducer deployed by the WVWA in a rectangular weir (15 May 2013 - 06 June 2019) and in a v-notched weir (07 June 2019 - 10 Jan 2021) at the same site. From 07 Jun 2019 to 10 Jan 2021, water temperature and discharge data were also collected from a Virginia Tech-deployed (VT) pressure transducer installed in the same weir.
DOI: 10.6073/pasta/4d8e7b7bedbc6507b307ba2d5f2cf9a2
title: Manually-collected discharge data for multiple inflow tributaries entering Falling Creek Reservoir and Beaverdam Reservoir, Vinton, Virginia, USA in 2019

description: Discharge rates at five inflow streams into Falling Creek Reservoir (Vinton, Virginia, USA) and Beaverdam Reservoir (Vinton, Virginia, USA) were measured manually using multiple methods in 2019. Falling Creek Reservoir and Beaverdam Reservoir are owned and operated by the Western Virginia Water Authority as primary and secondary drinking water sources, respectively, for Roanoke, Virginia, and this dataset is used for creating a water budget for the two reservoirs. The dataset consists of discharge rates calculated using one of three methods: propeller flowmate, salt injection, or velocity float method. Data were collected weekly to monthly from February through October 2019. References: Gordon, N.D., T.A. McMahon, and B.L. Finlayson. 2004. Stream Hydrology: an Introduction for Ecologists, 2nd edition. John Wiley & Sons, Inc., New York.
DOI: 10.6073/pasta/3faacd18b63b3bacc5a0dbd6f09660e1
title: Arctic LTER Streams Chemistry Toolik Field Station, Alaska 1978 to 2019.

description: Since 1983, the Streams Project at the Toolik Field Station has monitored physical, chemical, and biological parameters in a 5-km, fourth-order reach of the Kuparuk River near its intersection with the Dalton Highway and the Trans-Alaska Pipeline. In 1989, similar studies were begun on a 3.5-km, third-order reach of a second stream, Oksrukuyik Creek. In each river, physical conditions (such as discharge and temperature), nutrient levels, primary production, insects, and fishes are monitored throughout the summer. Also, we conduct experimental fertilization of the Kuparuk River and Oksrukuyik Creek to determine the effects of added phosphorus and nitrogen on primary productivity, insect communities, and fish growth in arctic rivers. The Oksrukuyik Creek has not been fertilized since 1996. The Kuparuk River received phosphorus additions from 1983 through 2016. Station sites are relative distance from the original nutrient drippers for both the Kuparuk and Oksrukuyik. Kuparuk stations include sites in a reference, recovery, and fertilized reach. Reaches were defined based on the location of nutrient addition (see methods).
DOI: 10.6084/m9.figshare.20639329
title: Plant-based bioactive molecules for targeting of endoribonuclease using steered molecular dynamic simulation approach: a highly conserved therapeutic target against variants of SARS-CoV-2

description: The lesser side effects and proven therapeutic efficacy of plant bioactive compounds (phytochemicals) have made them the drug of choice in the current COVID-19 pandemic. The non-structural protein (Nsp-15) also called endoribonuclease is highly conserved in the coronavirus family and is also responsible for modulating host immune response, its inhibition could not only help to reduce present SARS-CoV-2 but also its variants, and is expected to help in generating desired immune response, therefore we chose Nsp-15 as a molecular target for screening phytomolecules. In the present work, multistep molecular docking-based virtual screening methods have been used to screen phytochemicals against the Nsp15. The lead molecules were investigated using steered molecular dynamic simulation followed by molecular dynamics simulations. The results revealed that the protein had well adapted to the ligands as they meet the conditions for the formation of a stable compound. Furthermore, the lead compounds 6-Hydroxyluteolin and Luteolin were found to have low toxicity under physiological settings, better pharmacokinetic properties and strong inhibitory efficacy as observed by ADMET, LE, pKi, and Pi, Pa values. Our results suggest that these compounds can be therapeutically beneficial against SARS-CoV-2; however, more in-vitro and in-vivo investigations are required to substantiate this fact.
DOI: 10.6084/m9.figshare.20639329.v1
title: Plant-based bioactive molecules for targeting of endoribonuclease using steered molecular dynamic simulation approach: a highly conserved therapeutic target against variants of SARS-CoV-2

description: The lesser side effects and proven therapeutic efficacy of plant bioactive compounds (phytochemicals) have made them the drug of choice in the current COVID-19 pandemic. The non-structural protein (Nsp-15) also called endoribonuclease is highly conserved in the coronavirus family and is also responsible for modulating host immune response, its inhibition could not only help to reduce present SARS-CoV-2 but also its variants, and is expected to help in generating desired immune response, therefore we chose Nsp-15 as a molecular target for screening phytomolecules. In the present work, multistep molecular docking-based virtual screening methods have been used to screen phytochemicals against the Nsp15. The lead molecules were investigated using steered molecular dynamic simulation followed by molecular dynamics simulations. The results revealed that the protein had well adapted to the ligands as they meet the conditions for the formation of a stable compound. Furthermore, the lead compounds 6-Hydroxyluteolin and Luteolin were found to have low toxicity under physiological settings, better pharmacokinetic properties and strong inhibitory efficacy as observed by ADMET, LE, pKi, and Pi, Pa values. Our results suggest that these compounds can be therapeutically beneficial against SARS-CoV-2; however, more in-vitro and in-vivo investigations are required to substantiate this fact.
DOI: 10.6084/m9.figshare.12356564
title: Coherency spectral analysis of interfacial water at TiO<sub>2</sub> surfaces

description: Classical molecular dynamic studies of anatase &lt;101&gt; and rutile &lt;110&gt; surfaces immersed in bulk SPC/fw water were performed to investigate the dynamic properties of the semi-mobile water layers formed thereon. Spectral analysis techniques were used to characterise and interpret the observed dynamical behaviour, including the use of frequency domain cross-correlation measures. Both surfaces exhibit distinct layering patterns, wherein molecular motion is inhibited and certain molecular vibrational modes are augmented or diminished. There is evidence that this effect is mediated by coupling of vibrational modes between the observed layers and under-coordinated surface oxygen (O<sub>br</sub>) atoms and may play a role in the fascinating behaviour of water at TiO<sub>2</sub> interfaces.
DOI: 10.6084/m9.figshare.12356564.v1
title: Coherency spectral analysis of interfacial water at TiO<sub>2</sub> surfaces

description: Classical molecular dynamic studies of anatase &lt;101&gt; and rutile &lt;110&gt; surfaces immersed in bulk SPC/fw water were performed to investigate the dynamic properties of the semi-mobile water layers formed thereon. Spectral analysis techniques were used to characterise and interpret the observed dynamical behaviour, including the use of frequency domain cross-correlation measures. Both surfaces exhibit distinct layering patterns, wherein molecular motion is inhibited and certain molecular vibrational modes are augmented or diminished. There is evidence that this effect is mediated by coupling of vibrational modes between the observed layers and under-coordinated surface oxygen (O<sub>br</sub>) atoms and may play a role in the fascinating behaviour of water at TiO<sub>2</sub> interfaces.
DOI: 10.6073/pasta/eeba6193162bf1189a6b78452686c773
title: Greenhouse gas fluxes and concentrations and associated habitat data in western Dane County, Wisconsin, USA, streams during the 2018 growing season

description: Streams are often sources of carbon dioxide (CO2) and methane (CH4), particularly in agricultural regions where sediment and organic matter inputs can be substantial. Floods are occurring more often and more intensely in southern Wisconsin, one such agricultural region, due to climate change and few studies have investigated how floods impact stream CO2 and CH4 fluxes and concentrations. I compared concentrations and fluxes of CO2 and CH4 with greater than 30 variables representing in-stream and watershed attributes at 10 sites in mixed agricultural and suburban locations in southern Wisconsin. Sampling was conducted 10 times at each site during the growing season (May-November) in 2018
DOI: 10.6073/pasta/af4daec813775b7f426a1db574cbebc7
title: Dissolved CO2 and CH4 concentrations in the Connecticut River Watershed

description: This dataset supports the paper accepted to Limnology and Oceanography: Distinct concentration-discharge dynamics in temperate streams and rivers: CO2 exhibits chemostasis while CH4 exhibits source limitation due to temperature control Authored by Kelly S. Aho, Jennifer H. Fair, Jacob D. Hosen, Ethan D. Kyzivat, Laura A. Logozzo, Gerard Rocher-Ros, Lisa C. Weber, Bryan Yoon, and Peter A. Raymond
DOI: 10.6073/pasta/3494ca49fc3283eea5e4fc2f8a24ce3b
title: Dissolved N2O measurements from the Connecticut River Watershed

description: This dataset supports the paper accepted to Limnology and Oceanography: An intense precipitation event causes a temperate forested drainage network to shift from N2O source to sink Authored by Kelly S. Aho, Jennifer H. Fair, Jacob D. Hosen, Ethan D. Kyzivat, Laura A. Logozzo, Lisa C. Weber, Bryan Yoon, Jay P. Zarnetske, and Peter A. Raymond
DOI: 10.6073/pasta/7bc253a7c8c95853f1795f013ca5c771
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 15 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-15 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/a2df82fb3b806b7cf2e75a84b183c242
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 15 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-15 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.23713014
title: Untitled Item

description: Kaiko WD pool datasets (2 07 onwards, 1 01 - 1 12 and 2 01 - 2 06 were already passed for inference, running this on home machine.
DOI: 10.6084/m9.figshare.23713014.v1
title: Untitled Item

description: Kaiko WD pool datasets (2 07 onwards, 1 01 - 1 12 and 2 01 - 2 06 were already passed for inference, running this on home machine.