cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/1895159
title: WHONDRS Surface Water Dissolved Organic Carbon and FTICR-MS across Stream Orders in Four United States Watersheds in 2019 and 2020 (v3)

description: This dataset supports the broader Watershed Rules of Life (WROL) study examining spatial and temporal biogeochemical and microbial relationships across the Connecticut River, Deschutes River, Gunnison River, and Willamette River watersheds. The dataset provides geochemistry and organic matter characterization data generated from surface water collected from August 2019 to September 2020 in Colorado, Connecticut, Oregon, and Vermont. Related data were collected and will be published separately in collaboration with P. A. Raymond and B. C. Crump as part of WROL. This dataset is comprised of one folder containing (1) file-level metadata; (2) data dictionary; (3) readme; (4) field metadata; (5) dissolved organic carbon (DOC, measured as non-purgeable organic carbon, NPOC) data and averages; (6) surface water sampling protocol; (7) methods codes; (8) international generic sample number (IGSN) mapping file; and (9) a folder of high resolution characterization of organic matter via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) generated through the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory). The FTICR folder contains two subfolders, one containing the .xml data files and the other containing instructions for using Formularity (https://omics.pnl.gov/software/formularity) and an R script to process the data based on the user's specific needs. All files are .csv, .pdf, .R, .ref, or .xml. This data package was originally published in October 2022. It was updated in July 2023 (v2) and again in November 2023 (v3). See the change history section in the readme for more details.
DOI: 10.15468/dl.9mtf3y
title: Occurrence Download

description: A dataset containing 504 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.31808 -36.728329, 144.313589 -36.728329, 144.313589 -36.730575, 144.309097 -36.730575, 144.309097 -36.737312, 144.311343 -36.737312, 144.311343 -36.739558, 144.320326 -36.739558, 144.320326 -36.744049, 144.331555 -36.744049, 144.331555 -36.737312, 144.327064 -36.737312, 144.327064 -36.730575, 144.331555 -36.730575, 144.331555 -36.723837, 144.327064 -36.723837, 144.327064 -36.7171, 144.324818 -36.7171, 144.324818 -36.723837, 144.322572 -36.723837, 144.322572 -36.726083, 144.31808 -36.726083, 144.31808 -36.728329), (144.31808 -36.728329, 144.320326 -36.728329, 144.320326 -36.73282, 144.31808 -36.73282, 144.31808 -36.728329))"
 ]
}

 The dataset includes 504 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075107-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26188/26241620.v1
title: Data for: Balancing livestock production and environmental outcomes in northern Australia’s tropical savanna under global change

description: Data produced from the main runs and sensitivity analysis for the paper "Balancing livestock production and environmental outcomes in Australia’s tropical savanna under global change" published in Environmental Research Letters. For the main results, this includes sustainability indicators (beef production, GHG emissions, profit, land degradation, water intake, and biodiversity) across different climate scenarios (historical and RCP 2.6, 4.5, and 8.5) and GCMs (CanESM, MPI-ESM-LR, and MIROC5). The main results include summary tables and spatial outputs, and the global sensitivity analysis includes summary tables.Python scripts for the main run, sensitivity analysis, and supporting files are also included.
DOI: 10.15468/dl.7fjks5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.164515 -36.730575, 149.164515 -36.737312, 149.16676 -36.737312, 149.16676 -36.730575, 149.164515 -36.730575))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075108-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26785417
title: Raw Data: CSV Files

description: Ecological theory predicts that predators exert top-down effects on their prey by direct consumption, by imposing risk of predation, or a combination of both. However, empirical evidence for these effects is mixed and inconsistent. Barn owls in agriculture present a system with attributes that should, according to theory, lead to strong top-down effects, but research is limited and the distinction between effects on prey abundance and behavior remains unresolved. Understanding the top-down effect of predators on pests is a cornerstone of integrated pest management and is thus especially important where barn owls may contribute to the control of rodents on farms. Vegetation can enhance or diminish the top-down effects of predators on their prey, but this has received little attention for barn owls and rodent pests, limiting the information farmers can use to manage their fields to harness the effect of barn owls. To help fill these gaps, we surveyed above-ground foraging rodents and monitored barn owl nest boxes at six winegrape vineyards in Napa Valley, California USA in February through July 2023. We deployed chew block grids to determine the direct effect of barn owls on rodent abundance and used giving-up density (GUD) trays and camera traps to determine the effect of barn owls on rodent perceived predation risk and activity, respectively. We found that barn owls exert effects on rodent abundance and behavior and that vegetation cover favors the acoustically attuned barn owls over the visually oriented rodent pests. These results contribute to growing evidence that barn owls can be used as biological control in agricultural systems and that vegetation can be managed to reduce crop damage. We advise that growers maintain the vine canopy of leaves, pruned twigs on the ground, and vegetation cover in a cover crop row grown between vine rows to elevate perceived predation risk in rodent pests. We also recommend that, to the extent feasible, farmers time mowing to reduce rodent activity when crops are particularly vulnerable. chewblock_veg, gud_veg, camera_veg: vegetation variables from the chew block grids, GUD grids, and cameras respectively (predictor variables)chewblock_data, gud_data, camera_data: chewblock weights, gud weights, and number of photos (response variables) + abiotic factors and barn owl hunting pressure (predictor variables)<br>
DOI: 10.15468/dl.ann3mx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.377091 -36.73282, 143.377091 -36.739558, 143.381582 -36.739558, 143.381582 -36.73282, 143.377091 -36.73282))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075109-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85qx5w
title: Occurrence Download

description: A dataset containing 8527 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - United States (Contiguous) (ver.2.0, 2022)"
 ]
}

 The dataset includes 8527 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075110-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/2281403
title: Data and Scripts associated with “Lambda-PFLOTRAN: Workflow for Incorporating Organic Matter Chemistry Informed by Ultra High Resolution Mass Spectrometry into Biogeochemical Modeling.”

description: This data package is associated with the publication “Lambda-PFLOTRAN: Workflow for Incorporating Organic Matter Chemistry Informed by Ultra High Resolution Mass Spectrometry into Biogeochemical Modeling” submitted to Geoscientific Model Development (Muller et al., 2024).In this manuscript, organic matter chemistry and thermodynamics are directly connected to reactive transport simulators through the newly developed Lambda-PFLOTRAN (Parallel Reactive Flow and Transport model) workflow tool that succinctly incorporates organic matter chemistry data generated from Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) into reaction networks to simulate aerobic respiration of the organic matter and the resulting biogeochemistry. Lambda-PFLOTRAN is a python-based workflow, executed through a Jupyter Notebook interface, that digests raw FTICR-MS data, develops a representative reaction network based on substrate-explicit thermodynamic modeling (also termed lambda modeling due to its key thermodynamic parameter λ used therein), and completes a biogeochemical simulation with the open source, reactive flow, and transport code PFLOTRAN. This data package contains Jupyter Notebook based workflows for two test cases for running biogeochemical simulations of organic matter oxidation identified by FTICR-MS. It contains four primary folders (workflow, data, src, and analysis), a file-level metadata file (Muller_2024_Lambda_PFLOTRAN_Manuscript_Data_Package_flmd.csv) that lists all the files contained in this data package with a short description of each, and a data dictionary (Muller_2024_Lambda_PFLOTRAN_Manuscript_Data_Package_dd.csv) file that describes the tabular column headers. The ‘workflow’ folder contains the Jupyter Notebook based workflows for running the lambda analysis, PFLOTRAN simulation, sensitivity analysis and parameter estimation. The ‘data’ folder contains the FTICR-MS data, initial conditions, and incubation data for test cases 1 and 2 in folders titled ‘WHONDRS’ and ‘Colloids’, respectively. The data folder also has a ‘Database’ folder containing a reaction network for bulk organic matter (assumed to be CH2O) and a general database for PFLOTRAN (hanford_rxn_network). The CH2O reaction network defines bulk organic matter oxidation. Biogeochemical simulations are completed for both the lambda binned organic matter and bulk organic matter reaction networks. The ‘hanford_rxn_network’ database includes information required for PFLTORAN simulations including ion size, molar mass, and charge of the aqueous species, gases, and minerals phases. The ‘src’ folder contains python source codes for performing lambda analysis, PFLOTRAN simulation, sensitivity analysis and parameter estimation. The ‘analysis’ folder contains outputs from the test cases 1 and 2 including lambda analysis, PFLOTRAN runs and the calibration results.
DOI: 10.3886/e158401v1-156134
title: Data and Code for: Market Access and Quality Upgrading: Evidence from Four Experiments

description: Smallholder
farming in many developing countries is characterized by low productivity and
low quality output. Low quality limits the price farmers can command and their
potential income. We conduct a series of experiments among maize farmers in
Uganda to shed light on the barriers to quality upgrading and to study its
potential. First, we document that quality is low but partly observable.
Second, we show that the causal return to quality is zero, suggesting that the
market for quality maize is effectively missing. Third, we generate
experimental variation in access to a market for premium quality maize,
combined with training on agricultural best-practices, and document large
increases in both farm productivity and income. Fourth, we show that agricultural
training alone does not affect agricultural outcomes. Our findings reveal the
importance of demand-side constraints in limiting rural income and productivity
growth.
description: Smallholder households in Uganda.
DOI: 10.15468/dl.kf4nqn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.293996 -36.737312, 143.293996 -36.739558, 143.298488 -36.739558, 143.298488 -36.737312, 143.293996 -36.737312))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075112-240626123714530/datasets/export for details.
DOI: 10.15468/dl.pcrsh9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.819513 -36.737312, 143.819513 -36.739558, 143.821759 -36.739558, 143.821759 -36.737312, 143.819513 -36.737312))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075113-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6pkym8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.782961 -36.737312, 144.782961 -36.739558, 144.785207 -36.739558, 144.785207 -36.737312, 144.782961 -36.737312))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075114-240626123714530/datasets/export for details.
DOI: 10.26188/26241620
title: Data for: Balancing livestock production and environmental outcomes in northern Australia’s tropical savanna under global change

description: Data produced from the main runs and sensitivity analysis for the paper "Balancing livestock production and environmental outcomes in Australia’s tropical savanna under global change" published in Environmental Research Letters. For the main results, this includes sustainability indicators (beef production, GHG emissions, profit, land degradation, water intake, and biodiversity) across different climate scenarios (historical and RCP 2.6, 4.5, and 8.5) and GCMs (CanESM, MPI-ESM-LR, and MIROC5). The main results include summary tables and spatial outputs, and the global sensitivity analysis includes summary tables.Python scripts for the main run, sensitivity analysis, and supporting files are also included.
DOI: 10.15468/dl.x4tu39
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.237232 -36.739558, 144.237232 -36.744049, 144.243969 -36.744049, 144.243969 -36.739558, 144.237232 -36.739558))"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075115-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mebt2
title: Occurrence Download

description: A dataset containing 218821 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.32.2_2)"
 ]
}

 The dataset includes 218821 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075111-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5439/2429687
title: NPFTURBULENCE: Best Estimate Aerosol Size Distribution by airborne measurements

description: The original data were collected during the field campaign of “Turbulent layers promoting New Particle Formation” experiment (NPFTURBULENCE; https://www.arm.gov/research/campaigns/aaf2024npfturbulence) over the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Atmospheric Observatory (https://www.arm.gov/capabilities/observatories/sgp ) in north-central Oklahoma. The ARM Aerial Facility ArcticShark uncrewed aerial system (UAS) was based at Blackwell–Tonkawa Municipal Airport (IATA: BWL, ICAO: KBKN, FAA LID: BKN, 36.74475° N, 97.34918° W, 313.9 m MSL), for the field campaign from May 5 through May 29, 2024. The ArcticShark UAS performed 11 flights, including 10 research flights over the Central Facility of the ARM SGP to measure atmospheric state, turbulence, surface IT temperature and imagery, aerosol number concentration and size distribution. The current data set presents Best Estimate Aerosol Size Distribution: a merged aerosol size distribution composed of the data from 2 sensors: miniaturized Scanning Electrical Mobility Sizer (mSEMS) and Portable Optical Particle Spectrometer (POPS). The mSEMS data were interpolated to 1 second from “native” time resolution of about 15 second to match the other probe. The POPS data were converted from equivalent optical size into geometric size using value of aerosol refractive index of 1.477 from the HISCALE field campaign (same geographical area, altitudes, and time of year; http://www.arm.gov/campaigns/aaf2016hiscale ).
DOI: 10.15468/dl.5vfag3
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((142.986322 -36.7171, 142.990813 -36.7171, 142.990813 -36.712608, 142.986322 -36.712608, 142.986322 -36.714854, 142.979584 -36.714854, 142.979584 -36.721591, 142.98183 -36.721591, 142.98183 -36.726083, 142.984076 -36.726083, 142.984076 -36.730575, 142.986322 -36.730575, 142.986322 -36.737312, 142.988567 -36.737312, 142.988567 -36.744049, 142.986322 -36.744049, 142.986322 -36.746295, 142.984076 -36.746295, 142.984076 -36.748541, 142.990813 -36.748541, 142.990813 -36.739558, 142.993059 -36.739558, 142.993059 -36.746295, 142.997551 -36.746295, 142.997551 -36.728329, 142.993059 -36.728329, 142.993059 -36.73282, 142.990813 -36.73282, 142.990813 -36.721591, 142.986322 -36.721591, 142.986322 -36.7171)), ((142.990813 -36.721591, 142.993059 -36.721591, 142.993059 -36.7171, 142.990813 -36.7171, 142.990813 -36.721591)))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075117-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73b7k6
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hoolock tianxing Peng-Fei Fan, Kai He, Xing Chen et al., 2017"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075119-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5p6e8p
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eusideroxylon zwageri Teijsm. & Binn."
 ]
}

 The dataset includes 568 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075118-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekhdx2
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((144.217019 -36.7171, 144.217019 -36.728329, 144.219265 -36.728329, 144.219265 -36.730575, 144.217019 -36.730575, 144.217019 -36.737312, 144.219265 -36.737312, 144.219265 -36.739558, 144.23274 -36.739558, 144.23274 -36.737312, 144.234986 -36.737312, 144.234986 -36.730575, 144.228248 -36.730575, 144.228248 -36.728329, 144.226003 -36.728329, 144.226003 -36.721591, 144.219265 -36.721591, 144.219265 -36.7171, 144.217019 -36.7171)), ((144.219265 -36.739558, 144.217019 -36.739558, 144.217019 -36.746295, 144.219265 -36.746295, 144.219265 -36.739558)))"
 ]
}

 The dataset includes 61 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075120-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.253wu4
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((144.187824 -36.705871, 144.187824 -36.712608, 144.194561 -36.712608, 144.194561 -36.721591, 144.187824 -36.721591, 144.187824 -36.728329, 144.194561 -36.728329, 144.194561 -36.73282, 144.19007 -36.73282, 144.19007 -36.737312, 144.196807 -36.737312, 144.196807 -36.739558, 144.201299 -36.739558, 144.201299 -36.737312, 144.203545 -36.737312, 144.203545 -36.728329, 144.201299 -36.728329, 144.201299 -36.726083, 144.199053 -36.726083, 144.199053 -36.705871, 144.187824 -36.705871)), ((144.201299 -36.739558, 144.201299 -36.746295, 144.203545 -36.746295, 144.203545 -36.744049, 144.20579 -36.744049, 144.20579 -36.739558, 144.201299 -36.739558)), ((144.203545 -36.728329, 144.20579 -36.728329, 144.20579 -36.726083, 144.203545 -36.726083, 144.203545 -36.728329)))"
 ]
}

 The dataset includes 162 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075121-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zzguf
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ictalurus meridionalis (Günther, 1864)"
 ]
}

 The dataset includes 195 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075123-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nh8gu
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eusideroxylon zwageri Teijsm. & Binn."
 ]
}

 The dataset includes 568 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075122-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rykc78
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((144.145154 -36.721591, 144.145154 -36.723837, 144.140662 -36.723837, 144.140662 -36.728329, 144.142908 -36.728329, 144.142908 -36.730575, 144.1474 -36.730575, 144.1474 -36.728329, 144.154137 -36.728329, 144.154137 -36.730575, 144.156383 -36.730575, 144.156383 -36.73282, 144.158629 -36.73282, 144.158629 -36.739558, 144.16312 -36.739558, 144.16312 -36.744049, 144.165366 -36.744049, 144.165366 -36.746295, 144.167612 -36.746295, 144.167612 -36.744049, 144.172103 -36.744049, 144.172103 -36.739558, 144.167612 -36.739558, 144.167612 -36.73282, 144.165366 -36.73282, 144.165366 -36.728329, 144.158629 -36.728329, 144.158629 -36.723837, 144.149645 -36.723837, 144.149645 -36.721591, 144.145154 -36.721591)), ((144.156383 -36.73282, 144.154137 -36.73282, 144.154137 -36.735066, 144.151891 -36.735066, 144.151891 -36.737312, 144.145154 -36.737312, 144.145154 -36.739558, 144.142908 -36.739558, 144.142908 -36.744049, 144.158629 -36.744049, 144.158629 -36.739558, 144.156383 -36.739558, 144.156383 -36.73282)), ((144.158629 -36.744049, 144.158629 -36.746295, 144.16312 -36.746295, 144.16312 -36.744049, 144.158629 -36.744049)))"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075124-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.