cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15486/ngt/1556938
title: E-Field_Log Metadata, BR-Ma2: Manaus, 2016 - 2017

description: This data package contains the Excel file "E-Field_Log_v1-1_BR-Ma2_20190725_20190910175444," which has metadata for sap velocity, leaf temperature, leaf gas exchange, and soil water content data packages. Each data package is listed in the below field "dataset references." All data was collected from the NGEE Tropics site in Manaus, Brazil (BR-Ma2), between 24 May 2016 and 16 March 2017. This dataset replaces the E-Field metadata file of two retired packages, NGT0019 and NGT0040. This metadata file includes site details, species information, equipment used, and more. For more information about the design and use of the E-Field_Log and accompanying metadata files, see Danielle Christianson, Charuleka Varadharajan, Brad Christoffersen, Matteo Detto, Boris Faybishenko, Val Hendrix, Kolby Jardine, Robinson Negron-Juarez, Bruno Gimenez, Gilberto Pastorello, Thomas Powell, Megha Sandesh, Jeffrey Warren, Brett Wolfe, Jeff Chambers, Lara Kueppers, Nate McDowell, Deb Agarwal(2018). FRAMES Metadata Reporting Templates for Ecohydrological Observations, version 1.1. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1419956.
DOI: 10.5065/d6057d25
title: ArcticRIMS: Daily Precipitation From Monthly Station Records And Disaggregation, Version 1.0

description: This data set, spanning the period 1980-2008, is assembled from (1) interpolation of observed monthly totals from available station records with bias adjustments (2) disaggregation of the monthly totals to daily totals, making use of daily precipitation forecasts from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis [Kalnay et al., 1996]. Station records from 1990 onwards are considered to be too sparse to assemble gridded products using this approach. A daily product from 1980 through the present is described separately (DAILY PRECIPITATION FROM STATISTICAL RECONSTRUCTIONS). This latter product, which is continually updated, makes use of a suite of variables from the NCEP/NCAR reanalysis. The data are presented in 24 sub-datasets of different spatial and temporal aggregations.
DOI: 10.15486/ngt/1558773
title: Plant root trait measurements raw data, 1962-2018, Island of Puerto Rico

description: This data package is a compilation of studies and raw datasets on root traits including root biomass, root nitrogen and phosphorus concentrations organized by different root diameters, species, soil depth, and forest types in Puerto Rico. The attached zip file contains a Word document that describes metadata including the methods, the data sources and publications used in the synthesis, and information about the content of included CSV data files. Separate KMZ and csv files are attached with the collection locations.
DOI: 10.5065/d67m062p
title: LAII Alaska Landscape Flux Survey NOAA/ATDD Long-EZ Aircraft Data, Version 1.0

description: The data in the aircraft portion of the Land Atmosphere Ice Interaction (LAII) Alaska Landscape Flux Survey (ALFS) were collected in June 1994, June 1995, August 1995, and June 1996. The object of the effort was to measure remote sensing variables, the vertical flux density of sensible and latent heat, CO2, and momentum for extrapolating surface-based measurements to regional scales. The aircraft operations were conducted from Deadhorse Airport near Prudhoe Bay, Alaska, and consisted of daytime and nighttime transect flights. The measured parameters included water vapor, sensible heat, CO2, Photosynthetically Active Radiation (PAR), and surface reflectances from the Alaskan North Slope tundra, and were used to study the factors that control spatial variability of the exchange. Scalar flux densities were measured with a resolution of approximately 2-3 km. Supporting meteorological parameters such as temperature, humidity, CO2 and H2O concentrations, wind speed and direction, surface temperature, incoming and net radiation were also observed. This study was conducted with the National Science Foundation and San Diego State University.
DOI: 10.5065/d6h41pjs
title: Polar Bears: Adipose analyses, Version 1.0

description: From a subset of captured bears a sample of adipose tissue was collected via tissue biopsy. These tissues were analyzed for lipid content, percent of saturated fatty-acids, fatty-acid profiles, as well as stable carbon isotope values. Information on bear IDs and dates of capture is not available because of the threatened species status of the subjects.
DOI: 10.5065/d6mw2f86
title: Barrow Area Remote Sensing - Brw Be Land Cover, Version 1.0

description: This dataset contains Barrow Area Remote Sensing - Brw Be Land Cover data. Cloud free Quickbird satellite imagery was used to develop the land cover maps in this study. The dataset is composed of four multispectral (2.4m) and one panchromatic (0.6m) band. The multispectral bands were fused with the panchromatic scene using a Principal Components sharpening method, which characteristically maintains spatial and spectral quality (Vijayaraj et al., 2006). Ten land cover types were chosen for the land cover classification. These included seven vegetated land cover types identified from cluster analysis of plot level species cover data from the International Tundra Experiment (ITEX) and resampled International Biological Program (IBP) plots, bare ground, ice/snow/urban areas, and water.
DOI: 10.15486/ngt/1560859
title: Leaf gas exchange raw data, 2015 - 2017, at Manaus, Brazil

description: This data package contains raw leaf gas exchange data from the NGEE Tropics K34 tower site on a plateau near Manaus, Brazil. Data was collected using sensor and leaf sample measurements. Leaves on a target tree were chosen by accessing a branch near the tower. In some cases, the branch was naturally positioned near the tower and in other cases, a small rope was used to pull the branch closer to the tower for better access to leaves. Mature leaves were targeted in nearly all cases. The gas exchange system was hauled with a climbing rope to the level of the branch on the tower and the sensor head/leaf enclosure was installed near the branch of interest using a magic arm. We measured leaf gas exchange from 5:00 AM to 5:00 PM, randomly cycling through the approximately 20 leaves in the targeted branch(es). Data were collected over two time periods, detailed within the files. The attached data files contain raw data, sensor manuals, and PDFs with detailed methods and procedures separated into multiple folders. Data is in Excel file format. See data references for data package containing related metadata. This dataset replaces the leaf gas exchange data of two retired packages, NGT0019 and NGT0040.
DOI: 10.15486/ngt/1560860
title: Soil water content raw data, 2015 - 2017, at Manaus, Brazil

description: Raw soil water content data from K34 tower site on a plateau near Manaus, Brazil. Attached files include data, related metadata excel files, and sensor manual PDFs. All sensors on a single Campbell CR3000 data logger were installed near ground on the K34 tower. Additional file level metadata is contained in the referenced dataset.
DOI: 10.5065/d6j38qn5
title: DGPS Lake Shoreline Dataset from Field Survey, Version 1.0

description: Shorelines for thaw lakes on the Alaskan North Slope were mapped in the field using high accuracy Differential Global Positioning System (DGPS). Three field sites were mapped over three years beginning with the Barrow peninsula in 2008, near the town of Atqasuk in 2009, and at the southern limit of North Slope lakes in 2010 with about a dozen lakes at each site. These three field sites form a North-South transect of the North Slope.
DOI: 10.5065/d6xd0zsb
title: Provenance of Holocene sediment on the Chukchi-Alaskan margin, Version 1.0

description: This is a post-cruise research of sediment cores collected at the Chukchi Alaska margin on the first leg of Healy-Oden Trans-Arctic Expedition 2005 (HOTRAX 2005), USCGC (United States Coast Guard Cutter) Healy 0501.
DOI: 10.15486/ngt/1561986
title: Sapflow raw and translated data, 2015 - 2017, BR-Ma2: Manaus

description: Raw sapflow data from K34 tower site on a plateau near Manaus, Brazil. These are mostly raw data from the data loggers, except in the case of the ICT sensors where the datalogger output was translated using ICT software. One heat ratio sap flow sensor (SFM1, ICT international) was installed per tree. Tree biophysical characteristics for each tree were used with Sap Flow Tool version 1.4.1 (ICT International/Phyto-IT) to calculate sap velocities from raw data downloaded from the SFM1 sap flow sensors in the field. Attached data files include data, sensor manuals, and detailed methods. Related metadata is contained in referenced dataset. This dataset replaces the sapflow data of two retired packages, http://dx.doi.org/10.15486/ngt/1507764 and http://dx.doi.org/10.15486/ngt/1507767
DOI: 10.5065/d6222rwr
title: BAID: NARL BAR flights Index by Quad, Version 1.0

description: These are scanned copy of paper map index of flights for individual air photo frames from air photo NARL_BAR missions conducted by the Navy Arctic Research Laboratory (NARL) during the late 1940s and early 1950s. These index files were drafted over United States Geological Survey (USGS) quads. Each quad has been scanned and georeferenced by the University of Texas at El Paso System Ecology Lab for use in the Barrow Area Information Database (BAID). See the individual file's metadata for more information.
DOI: 10.5065/d6vt1q75
title: Barrow Area Information Database (BAID) Geospatial Data Sets, Barrow, AK, USA, Version 1.0

description: The Barrow Area Information Database (BAID) data collection is comprised of geospatial data for the research hubs of Barrow, Atqasuk and Ivotuk on Alaska's North Slope. Over 9600 research plots and instrument locations are included in the BAID research sites database. Updates to the project tracking database are ongoing through field mapping of new research locations and extant sampling sites dating back to the 1940s. Many ancillary data layers are also compiled to facilitate research activities and science communication. These geospatial data sets have been compiled through BAID and related NSF efforts. Geospatial data unique to this project are currently browseable via the BAID archive and include shapefiles of research information (sampling sites and instrumentation, the NOAA-CMDL clean air sector), administrative units (Barrow Environmental Observatory Science Research District plus adjacent federal lands, village districts, zoning, tax parcels, and the Ukpeagvik Inupiat Corporation boundary), infrastructure (power poles, snow fences, roads), erosion data for Elson Lagoon and imagery (declassified military imagery, air photo mosaics, IKONOS, Landsat, Quickbird, SAR and flight line indexes). Related data sets can be browsed via BAID’s web mapping tools and downloaded via the “Related links” section below. In addition, the BAID Internet Map Server (BAID-IMS) provides browse access to a number of additional layers which are available for download through catalog pages at the National Snow and Ice Data Center (NSIDC), the Alaska Geospatial Data Clearinghouse at USGS and the Alaska State Geo-Spatial Data Clearinghouse. Some layers are proprietary and are only available for browse access in BAID-IMS through special agreement. BAID provides a suite of user interfaces (Internet Map Server, Google Earth and Adobe Flex) and Open Geospatial Consortium web services for accessing the research plots and instrument locations. For more information on these tools, visit the BAID homepage in the links section below. BAID is a collaborative development effort between the Systems Ecology Lab at the University of Texas at El Paso and Nuna Technologies. BAID is funded by the National Science Foundation Office of Polar Programs Arctic Sciences Division (OPP 0454996.) BAID was initiated as a prototype through the Federal Geographic Data Committee's Cooperative Agreement Program (USGS Award: 03HQAG0177) via a grant to the Barrow Arctic Science Consortium to initiate the Barrow Area Spatial Data Infrastructure (SDI).
DOI: 10.15468/dl.ttugyq
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Centrolene geckoideum Jiménez de la Espada, 1872"
 ]
}

 The dataset includes 48 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002707-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yc8x4a
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Rio Grande Do Sul",
 "TaxonKey is Typha domingensis Pers."
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002708-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28263860
title: Spatial-temporal Pore Pressure and Stress Evolution associated with the Impoundment of Two Contiguous Reservoirs in Jinsha River, China and Regional Seismicity

description: The file folder is the dataset for the manuscript entitled ''Spatial-temporal Pore Pressure and Stress Evolution associated with the Impoundment of Two Contiguous Reservoirs in Jinsha River, China and Regional Seismicity" by Miao et al., including the water level evolutions of Xiluodu and Xiangjiaba reservoirs, earthquake catalog with the pore pressure and the Coulomb stress change, 3D active faults distribution and the ABAQUS script of the standard model used in this manuscript. The fault data adopts the UTM coordinate system, WGS84, 48 zone. The water level evolution and earthquake catalog is in UTC+8. The Karstic area extends from the surface to a depth of 0 km.
DOI: 10.17037/data.00004527
title: Therapy codelist for fluoroquinolones, macrolides, amoxicillin and cefalexin - CPRD Aurum

description: Therapy codes for ciprofloxacin, levofloxacin, moxifloxacin, ofloxacin, clarithromcyin, erythromycin, azithromycin, amoxicillin and cefalexin.
DOI: 10.25919/sext-n863
title: Monthly Maximum Flood Water Depth Spatial Timeseries for the Murray-Darling Basin

description: This dataset is an enhanced version of the Two-Monthly Maximum Flood Water Depth Spatial Time Series for the Murray-Darling Basin (MDB) (https://doi.org/10.25919/c5ab-h019). It now provides monthly spatial layers, representing the maximum surface water extent and water depth within each monthly period across the MDB from 2016 to 2024. The dataset was developed using the Multi-Index Method (MIM) for surface water mapping (https://data.csiro.au/collection/csiro:63897, please refer to the metadata of this dataset for details) and a Digital Elevation Model (DEM) (https://data.csiro.au/collection/csiro:64136) processed with the Floodwater Depth Estimation Tool (FwDET). Key improvements in this version include:
• Transition from two-monthly to monthly frequency.
• Integration of Sentinel-2 data from 2016 onwards.
• Coverage updated to June 2024.
• Enhanced water detection in wetlands and vegetated areas using advanced remote sensing imagery.
• Improved cloud masking algorithms for greater accuracy.
• More precise water depth estimation through the incorporation of a bathymetry-enforced DEM.

These updates make the dataset more detailed and reliable, supporting advanced analysis and decision-making for floodplain and water resource management in the Murray-Darling Basin. This dataset offers 8.5 years of monthly images of surface water depth across the entire MDB. 

The file format is Cloud Optimised Geotiff (COG). The data type for the files is uint16. The unit of the data is in millimetres. The maximum depth is 65534mm; minimum water depth is 1mm; value 0 represents dry land; and value 65535 represents no-data. The file format is Cloud Optimised Geotiff (COG) and the projection used is EPSG:4326.
DOI: 10.25919/t3rv-zx73
title: Two-monthly Maximum Flood Water Depth Spatial Timeseries for the Murray-Darling Basin Version 2024

description: This dataset is an updated version of the Two-Monthly Maximum Flood Water Depth Spatial Time Series for the Murray-Darling Basin (MDB) (https://doi.org/10.25919/c5ab-h019). It provides two-monthly spatial layers representing the maximum surface water extent and water depth within each two-month period across the MDB from 1988 to 2024. The dataset was developed using the Multi-Index Method (MIM) for surface water mapping (https://data.csiro.au/collection/csiro:63899, please refer to the metadata of this dataset for details) and a Digital Elevation Model (DEM) (https://data.csiro.au/collection/csiro:64136) processed with the Floodwater Depth Estimation Tool (FwDET). Key improvements in this version include:
• Coverage updated to June 2024.
• Enhanced water detection in wetlands and vegetated areas using remote sensing imagery.
• Improved cloud masking algorithms.
• More accurate water depth estimation through the use of a bathymetry-enforced DEM.

This updated dataset offers 36.5 years of two-monthly images of surface water depth across the entire MDB. The file format is Cloud Optimised Geotiff (COG). The data type for the files is uint16. The unit of the data is in millimetres. The maximum depth is 65534mm; minimum water depth is 1mm; value 0 represents dry land; and value 65535 represents no-data. The file format is Cloud Optimised Geotiff (COG) and the projection used is EPSG:4326.
DOI: 10.15468/dl.p8mqaq
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gempylus serpens Cuvier, 1829"
 ]
}

 The dataset's 4 records were derived from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002677-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yxjye
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acmella grandiflora (Turcz.) R.K.Jansen)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 400 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054925-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pzwhj
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anatoecus icterodes (Nitzsch, 1818))",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 82 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054927-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc2mr2
title: Occurrence Download

description: A dataset containing 8590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alectryon oleifolius (Desf.) S.T.Reynolds)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 8590 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054932-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15692331
title: Daily European biospheric methane emissions estimated with the ecosystem model JSBACH-HIMMELI.

description: Daily estimates of European biospheric methane emissions from JSBACH-HIMMELI  model from year 1990 to year 2023. JSBACH-HIMMELI is an ecosystem process model based on JSBACH land surface model, YASSO soil carbon model and HIMMELI methane emission model. The gridded fluxes are available with a resolution of 0.1x0.1 degrees and in units of mol m-2 s-1 (m-2 refers to grid cell area). The gridded flux file contains a variable for methane fluxes, including  a sum of methane fluxes from peatlands, inundated lands and mineral soils. More information of the model set-up is documented in Petrescu, A. M. R., et al., The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019, Earth Syst. Sci. Data, 15, 1197–1268, https://doi.org/10.5194/essd-15-1197-2023, 2023, Tyystjärvi, V., 2024. Future methane fluxes of peatlands are controlled by management practices and fluctuations in hydrological conditions due to climatic variability. EGUsphere 1–37. https://doi.org/10.5194/egusphere-2023-3037 and Raivonen, M. et al., 2017. HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands. Geoscientific Model Development 10, 4665–4691. https://doi.org/10.5194/gmd-10-4665-2017
DOI: 10.5281/zenodo.11635334
title: Daily European biospheric methane emissions estimated with the ecosystem model JSBACH-HIMMELI.

description: Daily estimates of European biospheric methane emissions from JSBACH-HIMMELI  model from year 1990 to year 2023. JSBACH-HIMMELI is an ecosystem process model based on JSBACH land surface model, YASSO soil carbon model and HIMMELI methane emission model. The gridded fluxes are available with a resolution of 0.1x0.1 degrees and in units of mol m-2 s-1 (m-2 refers to grid cell area). The gridded flux file contains a variable for methane fluxes, including  a sum of methane fluxes from peatlands, inundated lands and mineral soils. More information of the model set-up is documented in Petrescu, A. M. R., et al., The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019, Earth Syst. Sci. Data, 15, 1197–1268, https://doi.org/10.5194/essd-15-1197-2023, 2023, Tyystjärvi, V., 2024. Future methane fluxes of peatlands are controlled by management practices and fluctuations in hydrological conditions due to climatic variability. EGUsphere 1–37. https://doi.org/10.5194/egusphere-2023-3037 and Raivonen, M. et al., 2017. HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands. Geoscientific Model Development 10, 4665–4691. https://doi.org/10.5194/gmd-10-4665-2017
DOI: 10.15468/dl.u6cdmn
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aglaonema nitidum (Jack) Kunth)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 83 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054934-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5gqn8
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeschynanthus hookeri C.B.Clarke)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 37 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054931-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.