cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a20863604
title: Time series of water temperature, specific conductance, and oxygen from Lake N2, North Slope, Alaska, 2015-2016

description: Lakes are abundant in the terrestrial arctic, extending over about one quarter of the territory. For approximately nine months of the year, the waters of arctic lakes are under ice. Despite the duration of the ice-covered period, few studies have addressed the limnology (biological, chemical, and physical features) of these lakes during winter and how conditions under ice affects the stratification of lakes during the summer. We aim to look at the full year cycle lake circulation in order to quantify the effects of hydrodynamics on nutrient and gas fluxes and place the results within the context of climate change in the Arctic. The goals of our study include: (1) quantifying physical and biogeochemical controls on under ice thermal structure and circulation, the flowpath of snow melt, and mixing during spring and fall (2) quantifying respiration rates in arctic lakes of differing morphology and on geological substrates (3) illustrating the linkages and feedbacks between these physical and biogeochemical processes.
 Our research is being conducted in lakes studied by the Arctic Long Term Ecological Research (ARC LTER). The selected lakes are: Toolik Lake, Lake E1, Lake E5, Lake E6 and Lake N2. The Lakes range in size from 1 to 1500 hectares.
 Time series of water temperatures, specific conductance and dissolved oxygen at several depths were obtained from a taut-line mooring in different seasons (summer and winter) across multiple years (between fall 2012 and fall 2016).
DOI: 10.18739/a2vh5cj54
title: Time series of water temperature, specific conductance, and oxygen from Lake N2, North Slope, Alaska, 2012-2013

description: Lakes are abundant in the terrestrial arctic, extending over about one quarter of the territory. For approximately nine months of the year, the waters of arctic lakes are under ice. Despite the duration of the ice-covered period, few studies have addressed the limnology (biological, chemical, and physical features) of these lakes during winter and how conditions under ice affects the stratification of lakes during the summer. We aim to look at the full year cycle lake circulation in order to quantify the effects of hydrodynamics on nutrient and gas fluxes and place the results within the context of climate change in the Arctic. The goals of our study include: (1) quantifying physical and biogeochemical controls on under ice thermal structure and circulation, the flowpath of snow melt, and mixing during spring and fall (2) quantifying respiration rates in arctic lakes of differing morphology and on geological substrates (3) illustrating the linkages and feedbacks between these physical and biogeochemical processes.
 Our research is being conducted in lakes studied by the Arctic Long Term Ecological Research (ARC LTER). The selected lakes are: Toolik Lake, Lake E1, Lake E5, Lake E6 and Lake N2. The Lakes range in size from 1 to 1500 hectares.
 Time series of water temperatures, specific conductance and dissolved oxygen at several depths were obtained from a taut-line mooring in different seasons (summer and winter) across multiple years (between fall 2012 and fall 2016).
DOI: 10.15468/dl.gsn39v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ledermanniella lunda Cheek"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027744-241107131044228/datasets/export for details.
DOI: 10.18739/a2qr4nr2g
title: Time series of water temperature, specific conductance, and oxygen from Toolik Lake, North Slope, Alaska, 2014-2015

description: Lakes are abundant in the terrestrial arctic, extending over about one quarter of the territory. For approximately nine months of the year, the waters of arctic lakes are under ice. Despite the duration of the ice-covered period, few studies have addressed the limnology (biological, chemical, and physical features) of these lakes during winter and how conditions under ice affects the stratification of lakes during the summer. We aim to look at the full year cycle lake circulation in order to quantify the effects of hydrodynamics on nutrient and gas fluxes and place the results within the context of climate change in the Arctic. The goals of our study include: (1) quantifying physical and biogeochemical controls on under ice thermal structure and circulation, the flowpath of snow melt, and mixing during spring and fall (2) quantifying respiration rates in arctic lakes of differing morphology and on geological substrates (3) illustrating the linkages and feedbacks between these physical and biogeochemical processes.
 Our research is being conducted in lakes studied by the Arctic Long Term Ecological Research (ARC LTER). The selected lakes are: Toolik Lake, Lake E1, Lake E5, Lake E6 and Lake N2. The Lakes range in size from 1 to 1500 hectares.
 Time series of water temperatures, specific conductance and dissolved oxygen at several depths were obtained from a taut-line mooring in different seasons (summer and winter) across multiple years (between fall 2012 and fall 2016).
DOI: 10.18739/a2m32nb0w
title: Time series of water temperature, specific conductance, and oxygen from Toolik Lake, North Slope, Alaska, 2012-2013

description: Lakes are abundant in the terrestrial arctic, extending over about one quarter of the territory. For approximately nine months of the year, the waters of arctic lakes are under ice. Despite the duration of the ice-covered period, few studies have addressed the limnology (biological, chemical, and physical features) of these lakes during winter and how conditions under ice affects the stratification of lakes during the summer. We aim to look at the full year cycle lake circulation in order to quantify the effects of hydrodynamics on nutrient and gas fluxes and place the results within the context of climate change in the Arctic. The goals of our study include: (1) quantifying physical and biogeochemical controls on under ice thermal structure and circulation, the flowpath of snow melt, and mixing during spring and fall (2) quantifying respiration rates in arctic lakes of differing morphology and on geological substrates (3) illustrating the linkages and feedbacks between these physical and biogeochemical processes.
 Our research is being conducted in lakes studied by the Arctic Long Term Ecological Research (ARC LTER). The selected lakes are: Toolik Lake, Lake E1, Lake E5, Lake E6 and Lake N2. The Lakes range in size from 1 to 1500 hectares.
 Time series of water temperatures, specific conductance and dissolved oxygen at several depths were obtained from a taut-line mooring in different seasons (summer and winter) across multiple years (between fall 2012 and fall 2016).
DOI: 10.17632/czvpk9vrwx.2
title: Selected Studies

description: This dataset consists of the filtering process of the studies selected for the observability journal.
DOI: 10.18739/a2gb1xh7m
title: Time series of water temperature, specific conductance, and oxygen from Toolik Lake, North Slope, Alaska, 2013-2014

description: Lakes are abundant in the terrestrial arctic, extending over about one quarter of the territory. For approximately nine months of the year, the waters of arctic lakes are under ice. Despite the duration of the ice-covered period, few studies have addressed the limnology (biological, chemical, and physical features) of these lakes during winter and how conditions under ice affects the stratification of lakes during the summer. We aim to look at the full year cycle lake circulation in order to quantify the effects of hydrodynamics on nutrient and gas fluxes and place the results within the context of climate change in the Arctic. The goals of our study include: (1) quantifying physical and biogeochemical controls on under ice thermal structure and circulation, the flowpath of snow melt, and mixing during spring and fall (2) quantifying respiration rates in arctic lakes of differing morphology and on geological substrates (3) illustrating the linkages and feedbacks between these physical and biogeochemical processes.
 Our research is being conducted in lakes studied by the Arctic Long Term Ecological Research (ARC LTER). The selected lakes are: Toolik Lake, Lake E1, Lake E5, Lake E6 and Lake N2. The Lakes range in size from 1 to 1500 hectares.
 Time series of water temperatures, specific conductance and dissolved oxygen at several depths were obtained from a taut-line mooring in different seasons (summer and winter) across multiple years (between fall 2012 and fall 2016).
DOI: 10.17632/dw8y9hkvt7.1
title: Diagnostico Financiero a una Cooperativa de Ahorro y Crédito

description: El análisis del diagnóstico financiero permite dar a conocer la situación actual en la que se encuentra la empresa, dando así herramientas esenciales para tener una visión más clara al momento de tomar una decisión. Este análisis también es considerado como un procedimiento para evaluar la administración y el desempeño de una compañía, ya que muestra la situación económica en relación con los indicadores, esto con el objetivo de que las decisiones que se tomen sean más estratégicas, se optimicen los recursos y se pueda crear valor para los accionistas, logrando así un mejor funcionamiento de la misma para llegar a la meta propuesta.

Financial diagnosis analysis allows us to know the current situation of the company, thus providing essential tools to have a clearer vision when making a decision. This analysis is also considered a procedure to evaluate the management and performance of a company, since it shows the economic situation in relation to the indicators, with the aim of making the decisions made more strategic, optimizing resources and creating value for shareholders, thus achieving a better functioning of the company to reach the proposed goal.
Keywords: Indicators, analysis, financial statements, profitability, performance.
DOI: 10.18739/a2bk16q3v
title: The future shape of a Greenland GNSS observation network, 2017

description: The effort to study polar regions using modern observational techniques is formally known and funded under the Polar Earth Observing Network (POLENET). In Greenland, the GNET project, or Greenland Network, was developed to establish a network of GPS receivers operating continuously and autonomously on stable bedrock around Greenland. The purpose of the January 26-27, 2017 workshop was to discuss the future of this network. We were especially focused on documenting how GNET is used now, how the network could evolve, and to ask what scientific questions motivate its future. GNET data have served many purposes, such as providing ground truth for predictive models for post glacial rise/fall of bedrock adjacent to the ice sheet that in turn, play an essential role in correcting satellite gravity and altimetry based estimates of ice mass balance on decadal time scales.
 In addition to enumerating past successes of GNET, we examined the value that the network may provide for new science, such as tropospheric and ionospheric mapping, gaining new insights concerning surface mass balance, ice dynamics and ocean tidal mapping among others. This workshop report is designed to capture some of these new explorations. There is an emphasis placed upon the components of ice sheet surface mass balance in this report. This is motivated by three recent science breakthroughs: 
 Since about 2006, the negative mass balance of the Greenland ice sheet is dominated by melt processesRecent findings demonstrate that GNET have sensitivities to the loading components of the various elements of the surface mass balanceThe zenith-delays measured in the carrier phase of the electromagnetic pulses received at the stations are capable of significantly improving hindcast models of precipitation, fundamental to surface mass balance
 
 The primary recommendations of this report are:
 Continue to support the continuous and autonomous operation of the current configuration of GNET. The spatial distribution and long time series of observations has enabled a wealth of scientific discovery, and extending these time series enables new scienceMaximize the utility of the current data by encouraging low-latency access to dataEncouraging new uses of GNET data, such as tropospheric zenith delay analyses to improve atmospheric models in Greenland and use of these data for modeling the ionosphereIf possible, densify the current network to better resolve those areas of maximum gradient in glacial isostatic adjustment (GIA), and/or regions of rapid glacier change
DOI: 10.17632/dgxxj2pk8s.1
title: Dataset Supporting "Dynamic Modeling of Poultry Litter Composting in High Mountain Climates using System Identification Techniques" Study

description: General Description:
This dataset contains detailed measurements collected during two controlled experiments designed to study the dynamics of the composting process using the forced aeration technique. The dataset is divided into two main parts:

Experiment 1: Includes parameters such as temperatures (hot air and compost pile), relative humidity, and air and heat inputs.
Experiment 2: Complements the first experiment with oxygen levels in addition to the previously mentioned variables.
Both datasets are organized in a chronological format, with records that allow the analysis of trends and correlations among the studied variables.

Purpose:
The primary objective of this dataset is to facilitate the study of composting dynamics in high mountain environments using the forced aeration technique. It can be used for:

Bioprocess modeling.
Studies on energy optimization in biological and chemical processes.
Research in environmental biology, process engineering, and clean technologies.
Dataset Features:
Total Size:
Experiment 1: 4302 records and 8 variables.
Experiment 2: 3076 records and 9 variables.
Temporal Coverage: Records are organized by hour and minute over several days of experimentation.
Key Variables:
Hour and minute of the record.
Heater and compost pile temperatures.
Relative humidity.
Air and heat inputs.
Oxygen levels (in Experiment 2).
Days elapsed since the start of the experiment.
Available Formats:
The dataset is available in Excel format (.xlsx), with each experiment documented on separate sheets.

Access and Use:
Restrictions: Commercial use of the dataset requires prior authorization.
Potential Applications:
This resource is valuable for researchers in fields such as:

Environmental engineering and bioprocesses.
Design and optimization of thermal and environmental control systems.
DOI: 10.17632/ftt4gz4vcj.1
title: Первичні дані до статті Вплив температури на продуктивність видів Hirudo verbana та Hirudo orientalis

description: Статистичні дані
DOI: 10.18739/a26t0gw93
title: Imnaviat Creek Alaska - Ridge Station IC 1991 Consolidated Dataset

description: The Ridge and the Fen sites at Imnaviat creek are identical and support identical sensor suites. The heart of each system is an open-path eddy covariance system that measures the fluxes of carbon dioxide, water vapour and energy. In addition to this, each system measures standard meteorological and subsurface variables such as wind speed, air temperature and soil energy fluxes. The majority of these sensors were supplied by Campbell Scientific, Inc. The CSAT3 and the LI7500 form the core of the eddy covariance (EC) system and are used to measure high frequency fluctuations of the concentration of carbon dioxide (CO2), water (H2O) and vertical wind speed in order to determine fugacity of carbon dioxide (FCO2), latent heat (Qe), and sensible heat (Qh). Additionally, wind direction is determined by using the two horizontal measurements of wind speed from the CSAT3. The EC systems are positioned at heights of 3.18m and 2.20m at the Ridge and Fen sites respectively. The LI7500s are positioned 150 degrees behind each CSAT3 at a distance of 15cm and are oriented 30 degrees from vertical to reduce snow/ice/rain accumulation on the lenses. This results in an estimated measurement rejection angle of 30 degrees directly behind each EC system. At each station, the EC systems are oriented 150 degrees from true north into the dominant yearly wind direction in order to maximize the probability that measurements will be taken outside of the instrument rejection angle. Accordingly, the Renewable Energy Plants are located 30m away and in the centre of the measurement rejection zone. The other basic meteorological instruments such as the albedometer, the net radiometer, the Photosynthetically Active Radiation (PAR) sensor, the Sonic Ranger, the tipping bucket rain gauge and the soil heat flux instruments are necessary to complete our measurements of the components of the energy balance in order to evaluate the performance of the EC system with an energy balance closure calculation and assist us with the quality control of the resultant dataset. Additionally, they assist in the evaluation of the impact of fundamental forcing factors on the observed mass and energy fluxes. Massman, W.J. [2000] A simple method for estimating frequency response corrections for eddy covariance systems, Agricultural and Forest Meteorology, 104, 185-198 Webb, E.K., G. I. Pearman, R. Leuning [1980] Correction of flux measurements for density effects due to heat and water vapour transfer, Quarterly Journal of the Royal Meteorological Society, 106, 85-100 Williams, M., L.E. Street, M.T. van Wijk, G.R. Shaver [2006] Identifying differences in carbon exchange among Arctic ecosystem types, Ecosystems, 9, 288-304
DOI: 10.17632/dgxxj2pk8s.2
title: Dataset Supporting: Dynamic Modeling of Poultry Litter Composting in High Mountain Climates using System Identification Techniques

description: General Description:
This dataset contains detailed measurements collected during two controlled experiments designed to study the dynamics of the composting process using the forced aeration technique. The dataset is divided into two main parts:

Experiment 1: Includes parameters such as temperatures (hot air and compost pile), relative humidity, and air and heat inputs.
Experiment 2: Complements the first experiment with oxygen levels in addition to the previously mentioned variables.
Both datasets are organized in a chronological format, with records that allow the analysis of trends and correlations among the studied variables.

Purpose:
The primary objective of this dataset is to facilitate the study of composting dynamics in high mountain environments using the forced aeration technique. It can be used for:

Bioprocess modeling.
Studies on energy optimization in biological and chemical processes.
Research in environmental biology, process engineering, and clean technologies.
Dataset Features:
Total Size:
Experiment 1: 4302 records and 8 variables.
Experiment 2: 3076 records and 9 variables.
Temporal Coverage: Records are organized by hour and minute over several days of experimentation.
Key Variables:
Hour and minute of the record.
Heater and compost pile temperatures.
Relative humidity.
Air and heat inputs.
Oxygen levels (in Experiment 2).
Days elapsed since the start of the experiment.
Available Formats:
The dataset is available in Excel format (.xlsx), with each experiment documented on separate sheets.

Access and Use:
Restrictions: Commercial use of the dataset requires prior authorization.
Potential Applications:
This resource is valuable for researchers in fields such as:

Environmental engineering and bioprocesses.
Design and optimization of thermal and environmental control systems.
DOI: 10.18739/a2319s34n
title: Imnaviat Creek Alaska - Fen Station IC 1523 Consolidated Dataset

description: The Ridge and the Fen sites at Imnaviat creek are identical and support identical sensor suites. The heart of each system is an open-path eddy covariance system that measures the fluxes of carbon dioxide, water vapour and energy. In addition to this, each system measures standard meteorological and subsurface variables such as wind speed, air temperature and soil energy fluxes. The majority of these sensors were supplied by Campbell Scientific, Inc. The CSAT3 and the LI7500 form the core of the eddy covariance (EC) system and are used to measure high frequency fluctuations of the concentration of CO2, H2O and vertical wind speed in order to determine FCO2, Qe and Qh. Additionally, wind direction is determined by using the two horizontal measurements of wind speed from the CSAT3. The EC systems are positioned at heights of 3.18m and 2.20m at the Ridge and Fen sites respectively. The LI7500s are positioned 150 degrees behind each CSAT3 at a distance of 15cm and are oriented 30 degrees from vertical to reduce snow/ice/rain accumulation on the lenses. This results in an estimated measurement rejection angle of 30 degrees directly behind each EC system. At each station, the EC systems are oriented 150 degrees from true north into the dominant yearly wind direction in order to maximize the probability that measurements will be taken outside of the instrument rejection angle. Accordingly, the Renewable Energy Plants are located 30m away and in the centre of the measurement rejection zone. The other basic meteorological instruments such as the albedometer, the net radiometer, the PAR sensor, the Sonic Ranger, the tipping bucket rain gauge and the soil heat flux instruments are necessary to complete our measurements of the components of the energy balance in order to evaluate the performance of the EC system with an energy balance closure calculation and assist us with the quality control of the resultant dataset. Additionally, they assist in the evaluation of the impact of fundamental forcing factors on the observed mass and energy fluxes. Massman, W.J. [2000] A simple method for estimating frequency response corrections for eddy covariance systems, Agricultural and Forest Meteorology, 104, 185-198 Webb, E.K., G. I. Pearman, R. Leuning [1980] Correction of flux measurements for density effects due to heat and water vapour transfer, Quarterly Journal of the Royal Meteorological Society, 106, 85-100 Williams, M., L.E. Street, M.T. van Wijk, G.R. Shaver [2006] Identifying differences in carbon exchange among Arctic ecosystem types, Ecosystems, 9, 288-304
DOI: 10.18739/a2z892f91
title: Time series of water temperature, specific conductance, and oxygen from Toolik Lake, North Slope, Alaska, 2015-2016

description: Lakes are abundant in the terrestrial arctic, extending over about one quarter of the territory. For approximately nine months of the year, the waters of arctic lakes are under ice. Despite the duration of the ice-covered period, few studies have addressed the limnology (biological, chemical, and physical features) of these lakes during winter and how conditions under ice affects the stratification of lakes during the summer. We aim to look at the full year cycle lake circulation in order to quantify the effects of hydrodynamics on nutrient and gas fluxes and place the results within the context of climate change in the Arctic. The goals of our study include: (1) quantifying physical and biogeochemical controls on under ice thermal structure and circulation, the flowpath of snow melt, and mixing during spring and fall (2) quantifying respiration rates in arctic lakes of differing morphology and on geological substrates (3) illustrating the linkages and feedbacks between these physical and biogeochemical processes.
 Our research is being conducted in lakes studied by the Arctic Long Term Ecological Research (ARC LTER). The selected lakes are: Toolik Lake, Lake E1, Lake E5, Lake E6 and Lake N2. The Lakes range in size from 1 to 1500 hectares.
 Time series of water temperatures, specific conductance and dissolved oxygen at several depths were obtained from a taut-line mooring in different seasons (summer and winter) across multiple years (between fall 2012 and fall 2016).