cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.48b3fba7ff3f4e379b7fe9a2dfd2cf55
title: data submission

description: Using a weakly coupled data assimilation (WCDA) system to constrain the soil moisture and soil temperature in a coupled climate model with a global land data assimilation product, this study demonstrates significant improvements in simulating the interannual variations of EASM rainfall, capturing the notable shift to a "wetter-South-drier-North" rainfall pattern in China in the early 1990s. 
Improvements in predicting the EASM rainfall are attributed to the strong land-atmosphere coupling in large areas over China, which allows improved predictions of soil moisture to influence precipitation through soil moisture-precipitation feedback, and the effects of land anomalies on the EASM  circulation. This study highlights the significant contribution of land to the interannual predictability of EASM rainfall, with a great potential to advance skillful interannual predictions of benefit to the large populations influenced by the annual whiplash of the summer monsoon rain.
DOI: 10.4211/hs.52e1acac40ba4ffa8ec2d1899bfc5dec
title: Comparative Analysis of Rain Gauge and Satellite Precipitation Data for Landslide Modeling

description: Accurate rainfall estimates are required to predict when and where rain-triggered landslides will occur.  In regions with sparse region gauge networks, satellite rainfall products, owing to their easy availability, high temporal resolution, and improved spatial variability, could be used as an alternative. This study compares the utility of rain gauge and satellite rainfall data for assessing landslide distribution in a data-sparse region: Idukki, along the Western Ghats, India. The GPM IMERG-L (Global Precipitation Mission Integrated Multi-satellitE Retrievals for GPM – Late) daily rainfall product was compared with rain gauge measurements, and it was found that the satellite rainfall observations were underpredicting the rainfall. A conditional merging algorithm was applied to the GPM data to develop a product that combines rain gauge measures' accuracy and the satellite data's spatial variability. A comparison of the ability of the data products to capture the spatial spread of landslides was then carried out. The study area was divided into zones of influences corresponding to the rain gauge stations, and the landslides were classified according to their location within each zone. 5-day antecedent rainfall values were computed from both the rainfall products. Relying solely on the rain gauge derived values created many false positives and false negatives in landslide prediction. A total of 10.2% of the landslides fell in the true-positive category, while 51.3% was the overall false-negative rate. The study proposes using satellite products with improved spatial resolution and a denser rain gauge network to have reliable inputs for landslide prediction models.
DOI: 10.4211/hs.0b93e7c659fe4fc59bf6a202c269313c
title: NHDPlus stream branching geometry and climatic aridity aggregated by junction

description: Climate signatures recorded in the geometry of branching streams provide insight into climate and landscape histories on Earth and other planetary bodies. Recent findings establish that branching angles are narrower and stream profiles are straighter in more arid climates. However, these two observations have been attributed to different mechanisms. Aggregating publicly sourced data from the National Hydrography Dataset, we demonstrate that for US watersheds the difference in slope between confluent streams increases with humidity, and streams with a greater difference in slope tend to branch at wider angles. Our observations suggest a branching angle endmember of 90 degrees when stream slopes are most different. Using a simple model of runoff erosion, we show how this variation in relative stream slopes can be explained by a shift in streamflow accumulation across climate regimes. These findings connect previously observed climate signatures in branching angles and stream profiles, suggesting that both record the same control of aridity on surface flow.
DOI: 10.4211/hs.59ad193d1ac04542b0bfbe557014766d
title: California river classification field survey protocols

description: A river classification was developed for major regions of the State of California USA using a field surveying protocol that can now be used to collect data at additional sites. The field protocols provide a framework for systematically collecting a variety of physical geomorphic data using uniform sampling, including channel slope, cross-sectional morphology, sediment composition, and longitudinal depth and width variability. The standard sampling layout consists of a stream length 15 times the active channel width (measured along the thalweg) divided into 10 equidistant transects that are arranged perpendicular to the stream channel. Details of the river classification of the Sacramento Basin region are available in Byrne et al (2020). 

This resource contains the field surveying protocols and field data collection template.
DOI: 10.15468/dl.rztdct
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-0.547299 41.037653, -0.547511 41.078385, -0.601343 41.078385, -0.601110 41.037653, -0.547299 41.037653))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 286 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049955-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.76bd2b2e36aa4f23920b20e5a5accb2a
title: Rio Grande - Río Bravo Environmental Flows Database

description: This is a database that provides all the shapefiles created to develop the four maps presented in: 
Sandoval-Solis, S., Paladino, S.,  Garza-Diaz, L.E.,  Nava, L.F., Friedman, J., Plassin, S.,  Gomez-Quiroga, G.,  Ortiz-Partida, J.P., Koch,J., Fleming, J., Lane, B.A., Wineland, S., Mirchi, A., Saiz-Rodriguez, R., and Neeson, T.M. (2020). Environmental Flows in the Rio Grande - Rio Bravo. Journal of Ecology and Society. Submitted. December 2020.
The maps shown in this manuscript were developed by Grace Gomez Quiroga (ggomezquiroga@ucdavis.edu ). All the authors listed in the manuscript  provided feedback and contributed to the design of all the maps.
DOI: 10.15468/dl.tagw8y
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-95.69666 -14.08488,-60.30334 -14.08488,-60.30334 0.08488,-95.69666 0.08488,-95.69666 -14.08488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parkinsonia peruviana"
 ]
}

 The dataset includes 31 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049954-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.5e57b81fa6994fc3b63f6b7d5dc54cf0
title: A Meta-Analysis of Environmental Tradeoffs of Hydropower Dams in the Sekong, Sesan, and Srepok (3S) Rivers of the Lower Mekong Basin

description: Planning and constructing hydropower dams have historically taken precedence over analyzing their environmental effects. In Mekong riparian countries, hydropower development provides energy, but also threatens biodiversity, ecosystems, food security, and an unparalleled freshwater fishery. The Sekong, Sesan, and Srepok Rivers (3S Basin) are major tributaries to the Lower Mekong River (LMB), making up 10% of the Mekong watershed but supporting nearly 40% of the fish species of the LMB. Forty-five dams have been built, are under construction, or are planned in the 3S Basin. We completed a meta-analysis of aquatic and riparian environmental losses from current, planned, and proposed hydropower dams in the 3S and LMB using 46 papers and reports from the past three decades. Proposed mainstem Stung Treng and Sambor dams were not included in our analysis because Cambodia recently announced a moratorium on mainstem Mekong River dams. More than 50% of studies evaluated hydrologic change from dam development, 33% quantified sediment alteration, and 30% estimated fish production changes. Freshwater fish diversity, non-fish species, primary production, trophic ecology, and nutrient loading objectives were less commonly studied. We visualized human and environmental tradeoffs of 3S dams from the reviewed papers. Overall, Lower Sesan 2, the proposed Sekong Dam, and planned Lower Srepok 3A and Lower Sesan 3 have considerable environmental impacts. Tradeoff analyses should include environmental objectives by representing organisms, habitats, and ecosystems to quantify environmental costs of dam development and maintain the biodiversity and extraordinary freshwater fishery of the LMB.
DOI: 10.15468/dl.3a58dd
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asplenium sagittatum"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049953-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.023f24c1a62f48f496e10b7cbafe6b86
title: California river classification field survey protocols

description: A river classification was developed for major regions of the State of California USA using a field surveying protocol that can now be used to collect data at additional sites. The field protocols provide a framework for systematically collecting a variety of physical geomorphic data using uniform sampling, including channel slope, cross-sectional morphology, sediment composition, and longitudinal depth and width variability. The standard sampling layout consists of a stream length 15 times the active channel width (measured along the thalweg) divided into 10 equidistant transects that are arranged perpendicular to the stream channel. Details of the river classification of the Sacramento Basin region are available in Byrne et al (2020). 

This resource contains the field surveying protocols and field data collection template.
DOI: 10.4211/hs.1156f736cc0b4f1b87c38b370bda8315
title: Bear and Weber Rivers WEAP Models Input Data

description: This resource includes an SQLite file for the Water Management Data Model (WaMDaM) that stores data for two existing models; the Bear River Watershed that spans Utah and Idaho, and the Weber Bear River Watershed in Utah.

The data is produced from Chapter 3 of my dissertation 
https://digitalcommons.usu.edu/etd/7797/
DOI: 10.4211/hs.e1d5bff5f7b44e29bcf9d91757360f18
title: Comprehensive network hydraulic scaling datasets and associated resources (discharge, channel length surveys, watershed metadata, blueline network shapefiles and reference images)

description: Wetted channel networks expand and contract throughout the year. Direct observation of this process can be made by multiple intensive surveys of a catchment throughout the year. Godsey et al. (2014) suggest that the extent of the wetted channel network scales with discharge at the outlet by a power law (L = αQ^β). Using this relationship, we developed a framework to assess variability in the extent of wetted channels as a function of β and the variability in streamflow Q (Lapides et al., In Review, https://eartharxiv.org/mc6np/). This resource constitutes the empirical basis for that study, a comprehensive dataset compiled from literature including: 

1 - Channel length survey data (csv files)
2 - Discharge time series data (csv files)
3 - Watershed metadata (csv file)
4 - Blueline network files (pdf, png, and shp files)

This collection is comprehensive in that it includes all watersheds where at least three channel length surveys have been conducted and where a corresponding discharge time series dataset is available. The requirement of a minimum of three channel length surveys stems from the data requirements to find α and β for the power law relationship between discharge and stream network length for headwater catchments (Godsey et al., 2014). At present, data for 14 watersheds worldwide are included in the collection along with reference maps, watershed metadata, shapefiles and a composite of USGS blueline stream network imagery with terrain for watersheds of interest in the United States. Notably, this collection brings data from a variety of earth science agencies worldwide into a common, clearly labelled format. 

Methods used to process the datasets or create other assets in this collection are included in the abstracts or additional metadata for each of the four resources listed above. Python code used to process data, compute variables, and create graphics is available at: https://zenodo.org/record/4057320
DOI: 10.6084/m9.figshare.29040403
title: Characterisation of the haemocytes of leaf oysters, <i>Isognomon ephippium</i> (Linnaeus, 1758)

description: Characterisation of the immune system of bivalves can be a key to understanding their adaptation and resilience to the environment. This study is the first to characterise the haemocytes of the Family Isognomonidae. Three different types of haemocytes, granular cells, hyalinocytes and blast-like cells, were identified by light microscopy in leaf oysters <i>Isognomon ephippium</i> (Linnaeus, 1758), with relative proportions of 8.4% (±2.3%) 76.2%, (±1.9%), and 15.3% (±1.6%), respectively, determined by flow cytometry. Scanning electron micrographs illustrated the outer appearance of the major haemocyte types, including dendritic-like cytoplasmic extensions on activated haemocytes. The total haemocyte count (THC) and bacterial counts in the haemolymph of leaf oysters, as well as the bacterial load in the source water, were compared across three estuaries with differing water quality on the north coast of New South Wales, Australia. THC ranged from 3.89 × 10<sup>5</sup>–2.89 × 10<sup>6</sup> cells/mL in leaf oysters and significantly differed among three sites. THC increased with nitrogen, but decreased with higher bacterial loads in the water, which in turn correlated to other water quality parameters. This study provides baseline information on the leaf oyster immune system to facilitate future monitoring of <i>Isognomon</i> health in relation to environmental stressors.
DOI: 10.6084/m9.figshare.29040403.v1
title: Characterisation of the haemocytes of leaf oysters, <i>Isognomon ephippium</i> (Linnaeus, 1758)

description: Characterisation of the immune system of bivalves can be a key to understanding their adaptation and resilience to the environment. This study is the first to characterise the haemocytes of the Family Isognomonidae. Three different types of haemocytes, granular cells, hyalinocytes and blast-like cells, were identified by light microscopy in leaf oysters <i>Isognomon ephippium</i> (Linnaeus, 1758), with relative proportions of 8.4% (±2.3%) 76.2%, (±1.9%), and 15.3% (±1.6%), respectively, determined by flow cytometry. Scanning electron micrographs illustrated the outer appearance of the major haemocyte types, including dendritic-like cytoplasmic extensions on activated haemocytes. The total haemocyte count (THC) and bacterial counts in the haemolymph of leaf oysters, as well as the bacterial load in the source water, were compared across three estuaries with differing water quality on the north coast of New South Wales, Australia. THC ranged from 3.89 × 10<sup>5</sup>–2.89 × 10<sup>6</sup> cells/mL in leaf oysters and significantly differed among three sites. THC increased with nitrogen, but decreased with higher bacterial loads in the water, which in turn correlated to other water quality parameters. This study provides baseline information on the leaf oyster immune system to facilitate future monitoring of <i>Isognomon</i> health in relation to environmental stressors.
DOI: 10.4211/hs.cf3c2633962b4121a231110d4be0d7a5
title: Application of electrical resistivity to map the stratigraphy and salinity of fluvio- deltaic aquifers: case studies from Bangladesh reveal benefits and pitfalls.

description: Fluvio-deltaic aquifers are the primary source of drinking water for the people of Bangladesh. Such aquifers, which comprise the Ganges-Brahmaputra-Meghna Delta, are extremely hydrogeologically heterogeneous. Because of widespread groundwater quality issues in Bangladesh, it is crucial to know the hydrostratigraphic architecture and hydrochemistry of the aquifers as some units are contaminated whereas others are safe. Geophysical methods provide a potentially effective and non-invasive method for extensive characterization of these aquifers. Here we report the application and investigate the limitations of using electrical resistivity imaging (ERI) for mapping the hydrostratigraphy and salinity of an aquifer-aquitard system adjacent to the Meghna River. In some ER sections we observed excellent correlation between resistivity and grain size. These show that ERI is a powerful tool for mapping internal aquifer architecture and their boundaries with finer-grained aquitards which clearly appear as low ER zones. However, in parts of some ER sections, variations in electrical properties were determined by porewater resistivity. In these cases, low ER was indicative of brine and did not indicate the presence of finer-grained materials such as silt or clay. Accordingly, the following hydrostratigraphic zones with different resistivities were detected: (1) aquifers saturated with fresh ground water, (2) a regional silt/clay aquitard, and (3) a deeper brine-saturated formation. In addition, shallow silt/clay pockets were detected close to the river and below the vadose zone. ERI is thus a promising technique for mapping aquifers versus aquitards. However, the observations are easily confounded by porewater salinity. In such cases, borehole information and groundwater salinity measurements are necessary for ground-truthing.
DOI: 10.4211/hs.9fe3a89f35f2402782c8608d6fe87890
title: RCC Topographic Survey Data, 2018 - 2019

description: Topographic data were collected in Red Canyon Creek, WY, to study the impacts of beaver dam analogues on channel morphology. Using a total station, the latitude, longitude, and elevation of key locations were measured to perform QA/QC on UAV data and to georeference the UAV data.
DOI: 10.4211/hs.7c4ae80863174acfb571ccf8bdac8968
title: UAV Orthomosaics and Elevation Data: Red Canyon Creek, Wyoming, USA

description: A series of beaver dam analogues (BDAs) were installed in Red Canyon Creek near Lander, WY, in 2018. Channel form was measured immediately after BDA installation and after one year of restoration efforts (July 2019), using data collected with a total station and with UAV surveys. The files in this collection include visible light orthomosaics and digital elevation models created from UAV data, water levels measured with pressure transducers, and topographic data collected with the total station. The orthomosaics can be found in the linked Zenodo repository (under Related Resources). These data are used in Davis et al. (2021) Evaluating the geomorphic channel response to beaver dam analog installation using unoccupied aerial vehicles.
DOI: 10.4211/hs.4fa15157d0dc4de4a36290e3ce160094
title: RCC Digital Elevation Models, 2018 - 2019

description: Digital elevation models (DEMS; 6.9 cm/pixel) of Red Canyon Creek were created using visible light images collected during UAV flights and Structure from Motion photogrammetry. The two DEMs here are from 2018, immediately after the beaver dam analogues (BDAs) were installed, and from 2019, one year after BDA installation. The provided files are ASCII text files that can be easily converted to raster format in ArcMap and ArcGIS Pro. The coordinate system is WGS 84 / UTM Zone 12N (EPSG::32612).
DOI: 10.4211/hs.1b62145209d44ee5b34e5716bce9ad85
title: RCC Shapefiles

description: These shapefiles outline the two reaches of interest in Red Canyon Creek: the experimental reach with the beaver dam analogues (BDAs) and the upstream reference reach. These shapefiles were used as masks when differencing the elevation data (2018 and 2019 DEMs) using Geomorphic Change Detection (http://gcd.riverscapes.xyz/).
DOI: 10.4211/hs.90d7d873b297451e9d6beba5ecd25059
title: Continuous Ambient Noise Seismic Data at Kaiwi Coast, O‘ahu, Hawai‘i.

description: Raw data converted into a SeisComP Data Structure (SDS) filled with daily miniseed files for each sensor and each component, as well as instrument response files.Required
DOI: 10.4211/hs.cb71ebd7b61f41cbbe90a8495e6e9731
title: Stage and temperature data from northeastern wetlands

description: This resource contains daily stage and temperature records from 17 wetlands at St. Lawrence River Valley in northern New York. These records were averaged from hourly HOBO water logger measurements that were taken in October 2014-October 2015. Data consist of groundwater stage (hgw), surface water stage (hsw), groundwater temperature (Tgw), and surface water temperature (Tsw) of each site. The sites are listed in alphabetical order: BAR (column 3-6), BRA (7-10), BUC (11-14), CLA (15-18), CUT (19-22), FIC (23-26), GAR (27-30), HMP (31-34), JEW (35-38), JON (39-42), KOG (43-46), LOB (47-50), MEI (51-54), MON (55-58), SIM (59-62), SMI (63-66), SPE (67-70).

Data format
Column 1: year
Column 2: day of year
Column 3: hgw at BAR (m)
Column 4: hsw at BAR (m)
Column 5: Tgw at BAR (deg C)
Column 6: Tsw at BAR (deg C)
Column 7: hgw at BRA (m)
Column 8: hsw at BRA (m)
Column 9: Tgw at BRA (deg C)
Column 10: Tsw at BRA (deg C) ...
DOI: 10.4211/hs.d287f010b2dd48edb0573415a56d47f8
title: JavaScript code for retrieval of MODIS Collection 6 NDSI snow cover at SNOTEL sites and a Jupyter Notebook to merge/reprocess data

description: This JavaScript code has been developed to retrieve NDSI_Snow_Cover from MODIS version 6 for SNOTEL sites using the Google Earth Engine platform. To successfully run the code, you should have a Google Earth Engine account. An input file, called NWM_grid_Western_US_polygons_SNOTEL_ID.zip, is required to run the code. This input file includes 1 km grid cells of the NWM containing SNOTEL sites. You need to upload this input file to the Assets tap in the Google Earth Engine code editor. You also need to import the MOD10A1.006 Terra Snow Cover Daily Global 500m collection to the Google Earth Engine code editor. You may do this by searching for the product name in the search bar of the code editor. 

The JavaScript works for s specified time range. We found that the best period is a month, which is the maximum allowable time range to do the computation for all SNOTEL sites on Google Earth Engine. The script consists of two main loops. The first loop retrieves data for the first day of a month up to day 28 through five periods. The second loop retrieves data from day 28 to the beginning of the next month. The results will be shown as graphs on the right-hand side of the Google Earth Engine code editor under the Console tap. To save results as CSV files, open each time-series by clicking on the button located at each graph's top right corner. From the new web page, you can click on the Download CSV button on top. 

Here is the link to the script path: https://code.earthengine.google.com/?scriptPath=users%2Figarousi%2Fppr2-modis%3AMODIS-monthly

Then, run the Jupyter Notebook (merge_downloaded_csv_files.ipynb) to merge the downloaded CSV files that are stored for example in a folder called output/from_GEE into one single CSV file which is merged.csv. The Jupyter Notebook then applies some preprocessing steps and the final output is NDSI_FSCA_MODIS_C6.csv.