cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w6z96q
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kajewskiella trichantha",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015508-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.3fa7ac7454ff441792177a4347be7958
title: WEPPcloud model for Third Creek watershed, Lake Tahoe, NV

description: This resource contains WEPPcloud model inputs and outputs for the Third Creek Watershed, Lake Tahoe, NV. USGS station: 10336698.
DOI: 10.4211/hs.c35ae06cb26041b096dd07e1cbf8ebf5
title: High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004-2020)

description: This resource provides a comprehensive hydrometeorological dataset collected over the past two decades throughout the Cordillera Blanca, Peru. The data recording sites, located in the upper portion of the Rio Santa valley, also known as the Callejon de Huaylas, span an elevation range of 3738 - 4750 m a.s.l. As many historical hydrological stations measuring daily discharge across the region became defunct after their installation in the 1950s, there was a need for new stations to be installed and an opportunity to increase the temporal resolution of the streamflow observations. Through inter-institutional collaboration the hydrometeorological network provided here was deployed with goals to evaluate how progressive glacier mass loss was impacting stream hydrology, and to better understand the local manifestation of climate change over diurnal to seasonal and interannual time scales. The four automatic weather stations supply detailed meteorological observations, and are situated in a variety of mountain landscapes, with one on a high-mountain pass, another next to a glacial lake, and two in glacially carved valleys. Four additional temperature and relative humidity loggers complement the weather stations within the Llanganuco valley by providing these data across an elevation gradient. The six streamflow gauges are located in tributaries to the Rio Santa and collect high temporal resolution runoff data. Combined, the hydrological and meteorological data collected throughout the Cordillera Blanca enable detailed research of atmospheric and hydrological processes in tropical high-mountain terrain.
DOI: 10.4211/hs.844209cb8da943d5bec4cfa76f68920e
title: Milford Neck - DTW, Water Temperature, Specific conductance - Nov 2021-Jul 2024

description: This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Delaware Forested site (Milford Neck) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments.
DOI: 10.4211/hs.647b0abd93fe4d10946d2c3205d106a4
title: Dover Farm - DTW, Water Temperature, Specific conductance - May 2021-Jul 2024

description: This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Delaware Agricultural site (Dover Farm) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments. This work was conducted on private property with the cooperation and trust of landowners and farm operators who have requested to remain anonymous.  We have removed select coordinates and information that could be used to identify their operations.
DOI: 10.4211/hs.24ae4ba3490346e088c5fca5a745b0b9
title: Crisfield Farm - DTW, Water Temperature, Specific conductance - May 2021-Jul 2024

description: This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Maryland Agricultural site (Crisfield Farm) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments. This work was conducted on private property with the cooperation and trust of landowners and farm operators who have requested to remain anonymous.  We have removed select coordinates and information that could be used to identify their operations.
DOI: 10.4211/hs.33c36d2fc1c94d96ba9e40f0460f665e
title: Supporting Dataset for "Smoke Deposition to Water Surfaces Drives Hydrochemical Changes"

description: This study presents a unique dataset from a laboratory experiment where we explored changes in the chemical composition of deionized water samples exposed to smoke.  The dataset serves as the supporting information for the manuscript entitled "Smoke deposition to water surfaces drives hydrochemical changes," which was published in Hydrological Processes.
DOI: 10.4211/hs.28acde53dc5549f4a6e5d820364dd216
title: LCZO - Lithium isotopic composition and ancillary geochemical data for regolith profile B1S1 (Bisley 1, ridgetop site).

description: These are the tables in the main text and supplementary material of the article: ‘Secondary minerals drive extreme lithium isotope fractionation during tropical weathering’, published in the Journal of Geophysical Research - Earth Surface in 2022 (DOI: 10.1029/2021JF006366). The samples were collected at the Luquillo CZO Bisley 1 catchment, most of them from a regolith profile located in a ridgetop (B1S1). They include Li concentrations and Li isotopic composition, Nb, Cs, and Chemical Index of Alteration of bulk regolith and bedrock; Li and Li isotopic composition in porewater and in the exchangeable fraction of the regolith and other ancillary information.
DOI: 10.4211/hs.6b81a08454f840ffa2c97c4e2b47daba
title: High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004-2020)

description: This resource provides a comprehensive hydrometeorological dataset collected over the past two decades throughout the Cordillera Blanca, Peru. The data recording sites, located in the upper portion of the Rio Santa valley, also known as the Callejon de Huaylas, span an elevation range of 3738 - 4750 m a.s.l. As many historical hydrological stations measuring daily discharge across the region became defunct after their installation in the 1950s, there was a need for new stations to be installed and an opportunity to increase the temporal resolution of the streamflow observations. Through inter-institutional collaboration the hydrometeorological network provided here was deployed with goals to evaluate how progressive glacier mass loss was impacting stream hydrology, and to better understand the local manifestation of climate change over diurnal to seasonal and interannual time scales. The four automatic weather stations supply detailed meteorological observations, and are situated in a variety of mountain landscapes, with one on a high-mountain pass, another next to a glacial lake, and two in glacially carved valleys. Four additional temperature and relative humidity loggers complement the weather stations within the Llanganuco valley by providing these data across an elevation gradient. The six streamflow gauges are located in tributaries to the Rio Santa and collect high temporal resolution runoff data. Combined, the hydrological and meteorological data collected throughout the Cordillera Blanca enable detailed research of atmospheric and hydrological processes in tropical high-mountain terrain.
DOI: 10.4211/hs.1c69a4c9140f4893a644b5187b0e16fd
title: Monie Bay - DTW, Water Temperature, Specific conductance - Mar 2021-Jul 2024

description: This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Maryland Forested site (Monie Bay) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments.
DOI: 10.4211/hs.fe747d3511d84df7bb2856e2c7e37c27
title: Lewis_etal_2021_Draining the landscape: How do nitrogen concentrations in riparian groundwater and stream water change following milldam removal?

description: Dam removals are on the increase across the US with Pennsylvania currently leading the nation. While most dam removals are driven by aquatic habitat and public safety considerations, we know little about how dam removals impact water quality and riparian zone processes. Dam removals decrease the stream base level, which results in dewatering of the riparian zone. We hypothesized that this dewatering of the riparian zone would increase nitrification and decrease denitrification, and thus result in nitrogen (N) leakage from riparian zones. This hypothesis was tested for a 1.5 m high milldam removal. Stream, soil water, and groundwater N concentrations were monitored over two years. Soil N concentrations and process rates and δ15N values were also determined. Denitrification rates and soil δ15N values in riparian sediments decreased supporting our hypothesis but no significant changes in nitrification were observed. While surficial soil water nitrate-N concentrations were high (median 4.5 mgN L-1), riparian groundwater nitrate-N values were low (median 0.09 mgN L-1), indicating that nitrate-N leakage was minimal. We attribute the low groundwater nitrate-N to denitrification losses at the lower, more dynamic, groundwater interface and/or dissimilatory nitrate reduction to ammonium (DNRA). Stream water nitrate-N concentrations were high (median 7.6 mgN L-1) and contrary to our dam-removal hypothesis displayed a watershed-wide decline that was attributed to regional hydrologic changes. This study provided important first insights on how dam removals could affect N cycle processes in riparian zones and its implications for water quality and watershed management.
DOI: 10.4211/hs.8b612b8666524e519d29c0cad370317b
title: Data in support of mussel journal papers and funded by NSF EAR 1659909

description: The data provided here are summary tables in support of the following journal papers:

Sansom, B.J., S.J. Bennett, J.F. Atkinson, and C.C. Vaughn, 2020, Emergent hydrodynamics and skimming flow over mussel covered beds in rivers, Water Resources Research, 56, e2019WR026252, https://doi.org/10.1029/2019WR026252.

Sansom, B.J., S.J. Bennett, J.F. Atkinson, and C.C. Vaughn, 2018, Long-term persistence of freshwater mussel beds in labile river channels, Freshwater Biology, 63, 1469-1481.

Sansom, B.J., S.J. Bennett, J.F. Atkinson, manuscript in review, June, 2021, Increased bed roughness as an ecological adaptation for freshwater mussels.
DOI: 10.4211/hs.1c74a90cdd1e49499292a0493e874979
title: Water Level Records of Congaree River Floodplain, South Carolina, USA

description: This repository contains water level records measured at multiple locations in the Congaree River floodplain, South Carolina, USA. The water levels have been measured with high precision RTK GPS and pressure loggers. All water level elevations are in NAVD88. Additional data include the levee profiles and sensor locations.
DOI: 10.4211/hs.059794371790407abd749576df8fd121
title: High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004-2020)

description: This article provides a comprehensive hydrometeorological dataset collected over the past two decades throughout the Cordillera Blanca, Peru. The data recording sites, located in the upper portion of the Rio Santa valley, also known as the Callejon de Huaylas, span an elevation range of 3738 - 4750 m a.s.l. As many historical hydrological stations measuring daily discharge across the region became defunct after their installation in the 1950s, there was a need for new stations to be installed and an opportunity to increase the temporal resolution of the streamflow observations. Through inter-institutional collaboration the hydrometeorological network described in this paper was deployed with goals to evaluate how progressive glacier mass loss was impacting stream hydrology, and to better understand the local manifestation of climate change over diurnal to seasonal and interannual time scales. The four automatic weather stations supply detailed meteorological observations, and are situated in a variety of mountain landscapes, with one on a high-mountain pass, another next to a glacial lake, and two in glacially carved valleys. Four additional temperature and relative humidity loggers complement the weather stations within the Llanganuco valley by providing these data across an elevation gradient. The six streamflow gauges are located in tributaries to the Rio Santa and collect high temporal resolution runoff data. Combined, the hydrological and meteorological data collected throughout the Cordillera Blanca enable detailed research of atmospheric and hydrological processes in tropical high-mountain terrain.
DOI: 10.4211/hs.caebbbb68cce49f2bbf351f28d865794
title: Metropolitan Food Flow Network and Supply Chain Diversity

description: We derive annual, intranational food flow networks for the United States using the Freight Analysis Framework version 4 (FAF4) database29. The derived networks are for different food sectors and include all metropolitan areas in the United States. The FAF4 database consists of annual commodity flows during 2012-2015 for 115 geographic areas in the United States and 43 different sectors. We focus on the following four food sectors in the FAF4 database: crops, live animals, animal feed, and meat. 
To obtain food flows for all metropolitan areas in the United States, we disaggregate the FAF4 database from 115 to 329 areas (Supplementary Fig. 4), out of which 284 are metropolitan or combined statistical areas (120 metropolitan and 164 combined statistical areas). The disaggregation is performed using different socioeconomic and agricultural-related variables as attractors of supply and demand.

For more details see:
Gomez, M., Mejia, A., Ruddell, B., Rushforth, R., 2021. Supply chain diversity buffers cities against food shocks. Nature 595, 250–254 (2021). https://doi.org/10.1038/s41586-021-03621-0
DOI: 10.4211/hs.4364cffedc7e49d49255eef5f8e83148
title: Shell Day Data

description: “Shell Day” was a single-day regional water monitoring event coordinating simultaneous coastal carbonate chemistry observations by 59 community science programs and 7 research institutions in the northeastern United States, in which 410 total alkalinity (TA) samples from 86 stations were collected. Samples were collected at low, mid, and high tide by community science volunteers and brought to partnering research laboratories for sample processing. Minimum requirements for participation in Shell Day were the capacity to measure water temperature and salinity – some organizations used thermometers and refractometers, and others used multiparameter datasondes or handheld units. An analysis and interpretation of the temperature, salinity, and total alkalinity data can be found at Rheuban et al 2020 Environ. Res. Lett. in press https://doi.org/10.1088/1748-9326/abcb39. Included in this dataset are measurements of water temperature, salinity, total alkalinity, pH, dissolved oxygen concentration, dissolved oxygen saturation, total depth, secchi disk depth, chlorophyll, turbidity, as well as air temperature and barometric pressure, and qualitative assessments of wind, weather, and cloud cover.
DOI: 10.4211/hs.2679ce1a6d514b30a54459893557dfe7
title: Divergent controls on stream greenhouse gas concentrations across a land use gradient

description: Inland waters can be significant sources of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) to the atmosphere. However, considerable uncertainty remains in regional and global estimates of greenhouse gas (GHG) emissions from freshwater ecosystems, particularly streams. Controls on GHG production in streams, such as water chemistry and sediment characteristics, are also poorly understood. The main objective of this study was to quantify spatial and temporal variability in GHG concentrations in 20 streams across a landscape with considerable variation in land use and land cover in New England, USA. Stream water was consistently supersaturated in CO2, CH4, and N2O, suggesting that these small streams are sources of GHGs to the atmosphere in this landscape. Results show that concentrations of dissolved CO2, CH4 and N2O differed in their spatial and temporal patterns and in their relationship to stream chemistry. Both bivariate and multivariate analyses revealed a unique combination of predictor variables for each gas, suggesting variation in the landscape attributes and in-stream processes that control GHG concentrations. Although hydrologic conditions did not explain variation among sites, temporal patterns in GHG concentrations align with seasonal phenologies in flow and temperature. We developed a conceptual model based on these data that describes the spatial variability in GHG production from streams and that can elucidate the dominant controls on each gas. Developing an understanding of the factors controlling GHG dynamics in streams can help assess and predict how fluvial ecosystems will respond to changes in climate and land use and can be used to incorporate emissions from streams into regional and global GHG emission inventories.
DOI: 10.4211/hs.37022ed885554039b024a0f1c740a3e0
title: Corona NMR: Sieved Sand

description: These data are the results for the 2020 GEOL 5321 NMR lab. Measurements were made on the Corona NMR with sieved play sand. The grains consist of: majority quartz, lesser feldspar, trace mica and lithic fragments.
DOI: 10.4211/hs.1c6034be6886412ba59970ab1157fa7e
title: Supporting Information: Stream-centric methods for establishing groundwater contributions in karst mountain watersheds

description: This document provides an overview of the accompanying data files used in the production of the manuscript entitled "Stream-centric methods for establishing groundwater contributions in karst mountain watersheds". 

LR_site_Locations.xlsx:
Latitude and Longitude of sites gaged during the 2014, 2015, and 2016 sampling events.

LR_Field_Data_Summary.xlsx:
Flow and water quality data for the 2014, 2015, and 2016 sampling events.

LR_Chemistry_Summary.xlsx:
Latitude and Longitude of all springs sampled and the accompanying measured ion concentrations.

LR_Stream_Flow_Data.xlsx:
Daily averaged stream flow measurements used in the flow balance for R1, R2, R2a, and R2b.