cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2023-09.2887193/2464253
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887194/2464254
title: Data for EMSL Project 60568 from September 2023
DOI: 10.15468/dl.a8eq8k
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus rhodomerus Heyer, 2005"
 ]
}

 The dataset includes 100 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012942-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2887195/2464255
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887196/2464256
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887197/2464257
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887198/2464258
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887199/2464259
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887200/2464260
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887201/2464261
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887202/2464262
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887207/2464263
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887208/2464264
title: Data for EMSL Project 60568 from September 2023
DOI: 10.15468/dl.qc9spw
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cordia sonorae Rose"
 ]
}

 The dataset includes 378 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012943-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2887209/2464265
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887210/2464266
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887211/2464267
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887212/2464268
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887213/2464269
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887214/2464270
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887215/2464271
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887216/2464272
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887217/2464273
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887218/2464274
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887219/2464275
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887221/2464276
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887222/2464277
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887223/2464278
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887224/2464279
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887225/2464280
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887226/2464281
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887227/2464282
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887228/2464283
title: Data for EMSL Project 60568 from September 2023
DOI: 10.15468/dl.m48q2c
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudopaludicola canga Giaretta & Kokubum, 2003"
 ]
}

 The dataset includes 435 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012944-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2887229/2464284
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887230/2464285
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887232/2464286
title: Data for EMSL Project 60568 from September 2023
DOI: 10.15468/dl.ryrrge
title: Occurrence Download

description: A dataset containing 3657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-123.67476 30.0466,-81.49162 30.0466,-81.49162 47.76478,-123.67476 47.76478,-123.67476 30.0466))",
 "TaxonKey is Bromus tectorum L."
 ]
}

 The dataset includes 3657 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012945-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2887233/2464287
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887234/2464288
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887235/2464289
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887236/2464290
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887237/2464291
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887238/2464292
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887239/2464293
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887240/2464294
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887241/2464295
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887242/2464296
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887244/2464297
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887245/2464298
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887246/2464299
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887247/2464300
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887248/2464301
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887249/2464302
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887250/2464303
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887251/2464304
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887252/2464305
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887254/2464306
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887255/2464307
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887256/2464308
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887257/2464309
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887258/2464310
title: Data for EMSL Project 60568 from September 2023
DOI: 10.15468/dl.ecwnp7
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Commelina caroliniana Walter"
 ]
}

 The dataset includes 400 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012947-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2887259/2464311
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887260/2464312
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887261/2464313
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887262/2464314
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887263/2464315
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887264/2464316
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887265/2464317
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887266/2464318
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887267/2464319
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887268/2464320
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887269/2464321
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887270/2464322
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887271/2464323
title: Data for EMSL Project 60568 from September 2023
DOI: 10.15468/dl.2pc46x
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hylarana baramica (Boettger, 1900)"
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012949-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2887272/2464324
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887273/2464325
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887274/2464326
title: Data for EMSL Project 60568 from September 2023
DOI: 10.15468/dl.zjh6w6
title: Occurrence Download

description: A dataset containing 6774 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "Elevation 0-1000m",
 "TaxonKey is one of (Graphis Adans., 1763)"
 ]
 }
 ]
}

 The dataset includes 6774 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012950-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2887275/2464327
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887276/2464328
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887277/2464329
title: Data for EMSL Project 60568 from September 2023
DOI: 10.15468/dl.3xdk8d
title: Occurrence Download

description: A dataset containing 3073 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudopaludicola falcipes (Hensel, 1867)"
 ]
}

 The dataset includes 3073 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012951-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2887278/2464330
title: Data for EMSL Project 60568 from September 2023
DOI: 10.6084/m9.figshare.27221241.v9
title: A Genetic Algorithm with Convex Combination Crossover for Software Team Formation in Industrial Settings [Supplementary Material]

description: Supplementary material
DOI: 10.25582/data.2023-09.2887279/2464331
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887280/2464332
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887281/2464333
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887282/2464334
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887283/2464335
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887284/2464336
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887285/2464337
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887286/2464338
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887287/2464339
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887288/2464340
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887289/2464341
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887290/2464342
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887291/2464343
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887295/2464344
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887296/2464345
title: Data for EMSL Project 60568 from September 2023
DOI: 10.25582/data.2023-09.2887297/2464346
title: Data for EMSL Project 60568 from September 2023
DOI: 10.15468/dl.bjkk3v
title: Occurrence Download

description: A dataset containing 22971 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cordia alliodora (Ruiz & Pav.) Oken"
 ]
}

 The dataset includes 22971 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012948-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.030bdfa103b543c28f3ebdf9abb2da6e
title: Forward and Adjoint Sensitivity Analysis

description: Sensitivity analysis requires the calculation of the sensitivity of a performance measure of model output to a model input.   This  repository contains two jupyter notebooks demonstrating the calculation of forward (using Green's functions) and adjoint sensitivities.  Both examples are presented in

Neupauer, R.M., C. Turnadge, and J. Okkonen, Forward and adjoint modeling of sensitivities to periodic forcings in groundwater flow and transport, Mathematical Geosciences, http://dx.doi.org/10.1007/s11004-023-10074-w, 2023

Case 1 is a periodic thermal loading in a one-dimensional, homogeneous aquifer.  Case 2 is stream depletion in a two-dimensional homogeneous aquifer.
DOI: 10.4211/hs.6f39721f1643428f84997f09ef75e2f8
title: Ranch Creek Ground-Penetrating Radar Snow Survey April 07, 2021

description: This dataset contains the raw radargram files and results of processed 1 GHz ground-penetrating radar surveys conducted during a Spring wet snow survey at Ranch Creek, Colorado, USA on April 7, 2021. Data include the raw Sensors & Software ground-penetrating radar (GPR) radargram files and comma-delimited (csv) files containing the picked two-way travel times of the ground-reflector. Two-way travel times are not converted to snow depths or snow water equivalent due to the presence of liquid water content in the snow. This dataset was collected in coordination with a UAV lidar survey conducted by the United State Geological Survey (USGS). A nearby weather station, the USGS Ranch CR Meadow Meteorological Station (Station No.: 395448105453601) collected automatic snowpack measurements during the GPR surveys. A User Guide is supplied to help with data interpretation.
DOI: 10.4211/hs.8ea572a2615c404f8e441e35286829f1
title: Supplementary Tables and Source Data for 'Decadal increase in groundwater inorganic carbon concentrations across Sweden'

description: This resource contains Supplementary Tables and Source Data for the manuscript entitled 'Decadal increase in groundwater inorganic carbon concentrations across Sweden' by Klaus, M., under conditional acceptance in Communications Earth & Environment. The manuscript is based on groundwater chemistry observations from 55 sampling sites distributed across Sweden and sampled quarterly between 1980 and 2020 within the Swedish national groundwater monitoring program run by the Geological Survey of Sweden. The Supplementary Tables contain statistical analyses of linear trends in water chemistry, including among others concentrations of dissolved inorganic carbon, carbon dioxide, alkalinity, pH. The source data contain point observations and linear trends in dissolved inorganic carbon, carbon dioxide, bicarbonate, pH and several acidification proxies. For details, see the variable description and table caption files, as well as the manuscript.
DOI: 10.4211/hs.49072b94417f48b6b55e668dfeadb94c
title: Reduced and More Fragmented Mississippi River Navigability

description: The Mississippi River System (MRS) is one of the most important commercial routes in the world and its navigability is critical for anticipating potential disruptions in the global supply chain. Here we show that the navigability of the MRS has reduced since 1963, especially in the lower part of the basin. Based on analyses of daily stage time series and the associated conditions for navigation, we find that high rather than low water levels are the main culprits for the observed navigability issues. Moreover, not only have the navigable days decreased, but navigation without operational restrictions has also become more fragmented. Our findings provide basic information towards the development of strategies to mitigate potential negative effects in the U.S navigation sector.

Key Points:
•	We have analyzed the navigability of the Mississippi River System (MRS) since 1963
•	The MRS navigability has reduced and become more fragmented in recent decades, especially in response to generally higher water levels.
DOI: 10.4211/hs.8790e7b7858449e4ad4a09f2bf2e55ff
title: Alternative Crops Climate Adaptation Science project

description: Climate change is predicted to impact agriculture, ranching, and food security globally. Our overall project objective is to identify alternative crops that will provide producers with viable options over the next 80 years based on climate change projections. Farmers will benefit from this compilation of alternative options, giving them agency in deciding how to best move forward in their production to maintain economic viability. We used expert opinion to identify an array of alternative crops for our study region. We then identified the climate tolerance of these crops and use downscaled climate projections to identify the suitability for each crop in the expected future climate. Additionally, we sourced economic data from the National Agricultural Statistical Survey to gather information about how much farmers could make growing any given crop, using modern crop budgets sources for university extension offices and yield and price data from 1990-2020. We engaged stakeholders and disseminated our findings through a town hall meeting with local farmers, a website, and through USU extension.
DOI: 10.4211/hs.135b355a2aec44c49308b463eee5decc
title: Impacts of evaporation-induced groundwater upwelling on mixing dynamics  in shallow wetlands

description: Groundwater mixing dynamics play a crucial role in the biogeochemical cycling of shallow wetlands. In this paper, we conducted groundwater simulations to investigate the combined effects of evaporation and local heterogeneity on mixing dynamics in shallow wetland sediments. The results show that evaporation causes groundwater and solutes to upwell from deep sediments to the surface. As the solute reaches the surface, evaporation enhances the accumulation of the solute near the surface, resulting in a higher solute concentration than in deep sediments. Mapping of flow topology reveals that local heterogeneity generates spatially varied mixing patterns mainly along preferential flow pathways. The upwelling of groundwater induced by surface evaporation through heterogeneous sediments is likely to create distinct mixing hotspots that differ spatially from those generated by lateral preferential flows driven by large-scale hydraulic gradients, which enhances the overall mixing in the subsurface. These findings have strong implications for biogeochemical processing in wetlands.
DOI: 10.4211/hs.c24df560663448aebcbba9228c4fda19
title: Data for: Bioretention cells provide a tenfold reduction in 6PPD-quinone mass loadings to receiving waters: Evidence from a field experiment and modeling

description: This resource contains 1) measurements from a spike and recovery and subsequent flushing experiment that were performed on a system at the corner of Pine and 8th streets in Vancouver, BC, Canada (see metadata) to investigate the fate and transport of 6PPD-Quinone through stormwater bioretention systems and 2) the version of the "BioretentionBlues" model that was used to estimate fate of 6PPD-quinone. The current version of the model is available from https://github.com/tfmrodge/SubsurfaceSinks
DOI: 10.4211/hs.cc08f5fb62b54d29943dcc1da5df6b42
title: Climate change projected to modify structural hillslope connectivity at the global scale

description: Structural connectivity describes how landscapes facilitate the transfer of matter and plays a critical role in the flux of water, solutes, and sediment across the Earth’s surface. The strength of a landscape’s connectivity is a function of climatic and tectonic processes, but the importance of these drivers is poorly understood, particularly in the context of climate change. Here, we provide global estimates of structural connectivity at the hillslope level and develop a model to describe connectivity accounting for tectonic and climate processes. We find that connectivity is primarily controlled by tectonics with climate as a second order control. However, we show climate change is projected to alter global-scale connectivity at the end of the century (2070 to 2100) by up to 4% for increasing greenhouse gas emission scenarios. Notably, the Ganges River, the world’s most populated basin, is projected to experience a large increase in connectivity. Conversely, the Amazon River and the Pacific coast of Patagonia are projected to experience the largest decreases in connectivity. Modeling suggests that as the climate warms, it could lead to increased erosion in source areas, while decreased rainfall may hinder sediment flow downstream, affecting landscape connectivity that poses implications for human and environmental health.
DOI: 10.4211/hs.8c31e2e9f8ab459ab99c61ccc110ab08
title: Supplement materials for the physical, numerical, and decision-making models for developing functional recharge systems to repel saltwater intrusion for coastal aquifer sustainability

description: -Measured saltwater profile data for two studies (experiments 1 and 2).
-The MODFLOW CSV output files from the numerical model cases in the three categories (a), (b), and (c) (each category has seven model cases).
-Outputs processed EXCEL files for the numerical model cases classified as (a), (b), and (c).
-AHP outputs EXCEL files for each of the three alternatives (category (a), (b), and (c), as well as the final decision.