cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24785161.v1
title: People beyond the Border in the Sandbars of Damodar River: Understanding the People’s Management in a Changing Landscape, India

description: Sandbars are narrow ridges of sand formed by the river system in Bengal delta in eastern India. Some <i>charlands</i> or riverbeds of the Damodar River are situated along both its banks as well as in its central channel, offering habitats for both human populations and wildlife. Throughout its history, the river has been known as “Sorrow of Bengal” owing to its frequent inundations and devastating impact. Since the partition of India in 1947, numerous sandbars have been colonized at various stages. Before partition, the area consisted of vast fields covered with bushes. This paper elaborates on the living conditions of marginalized people of Bangladesh and the local settlers who have inhabited the sandbars. They face a multitude of challenges, including safety concerns during storms, a lack of access to essential amenities like water, electricity, healthcare, education, and employment opportunities, as well as transportation difficulties. Sandbars are susceptible to flooding, necessitating frequent evacuations for the residents when massive floods occur. Additionally, these riverbeds are often geographically isolated from neighboring landmasses. Despite these challenges, both refugees and local settlers have managed to adapt to life on these transient sandbars. The research also elucidates how communities often develop unique techniques and technologies to mitigate the challenges posed by the river. Finally, this study demonstrates that assessments of vulnerability and insecurity are arbitrary and insignificant; however, immediate survival is crucial.
DOI: 10.6084/m9.figshare.24528446.v1
title: Drainage area is not enough: multivariate hydraulic geometry in the Southern Blue Ridge Mountains, U.S.A.

description: Regional hydraulic geometry curves, which relate drainage area to channel morphology, are powerful tools for river restoration and watershed management. While there is a strong correlation between channel morphology and drainage area, the importance of watershed slope and relief on channel-forming flow, especially in mountainous regions, cannot be ignored. This research used single variable power functions along with multiple regression to determine which network- and or local-scale variables are influencing channel morphology in the Southern Blue Ridge Mountains. Within this region, watershed topography (i.e. relief and slope) and or local-scale characteristics (e.g. channel slope and sinuosity) are better predictors of channel morphology than drainage area. Additionally, the importance of local-scale characteristics in the multiple regression models provide strong evidence that site-specific conditions can be just as important as watershed characteristics in determining channel morphology. While multiple regression has been used to create hydraulic geometry equations in other regions, this is the first study that determined whether non-drainage area multiple regression models perform better than models that include drainage area. With the increasing ease with which network- and local-scale characteristics can be calculated, this research shows a clear need to incorporate additional network- and or site-specific characteristics into hydraulic geometry equations.
DOI: 10.6084/m9.figshare.24562653
title: An innovative hydrological model for the sparsely-gauged Essequibo River basin, northern Amazonia

description: Tropical river basins – crucial components of global water and carbon cycles – are threatened by logging, mining, agricultural conversion, and climate change. Thus, decision-makers require hydrological impact assessments to sustainably manage threatened basins, such as the ∼68,000 km<sup>2</sup> Essequibo River basin in Guyana. Emerging global data products offer the potential to better understand sparsely-gauged basins. We combined new global meteorological and soils data with established <i>in situ</i> observations to build the first physically-based spatially-distributed hydrological model of the Essequibo. We developed new, open source, methods to translate global data (ERA5-Land, WFDE5, MSWEP, and IMERG) into a grid-based SHETRAN model. Comparing the performance of several global and local precipitation and evaporation datasets showed that WFDE5 precipitation, combined with ERA5-Land evaporation, yielded the best daily discharge simulations from 2000 to 2009, with close water balances (PBIAS = −3%) and good discharge peaks (NSE = 0.65). Finally, we tested model sensitivity to key parameters to show the importance of actual to potential evapotranspiration ratios, Strickler runoff coefficients, and subsurface saturated hydraulic conductivities. Our data translation methods can now be used to drive hydrological models nearly anywhere in the world, fostering the sustainable management of the Earth’s sparsely-gauged river basins.
DOI: 10.6084/m9.figshare.24562653.v1
title: An innovative hydrological model for the sparsely-gauged Essequibo River basin, northern Amazonia

description: Tropical river basins – crucial components of global water and carbon cycles – are threatened by logging, mining, agricultural conversion, and climate change. Thus, decision-makers require hydrological impact assessments to sustainably manage threatened basins, such as the ∼68,000 km<sup>2</sup> Essequibo River basin in Guyana. Emerging global data products offer the potential to better understand sparsely-gauged basins. We combined new global meteorological and soils data with established <i>in situ</i> observations to build the first physically-based spatially-distributed hydrological model of the Essequibo. We developed new, open source, methods to translate global data (ERA5-Land, WFDE5, MSWEP, and IMERG) into a grid-based SHETRAN model. Comparing the performance of several global and local precipitation and evaporation datasets showed that WFDE5 precipitation, combined with ERA5-Land evaporation, yielded the best daily discharge simulations from 2000 to 2009, with close water balances (PBIAS = −3%) and good discharge peaks (NSE = 0.65). Finally, we tested model sensitivity to key parameters to show the importance of actual to potential evapotranspiration ratios, Strickler runoff coefficients, and subsurface saturated hydraulic conductivities. Our data translation methods can now be used to drive hydrological models nearly anywhere in the world, fostering the sustainable management of the Earth’s sparsely-gauged river basins.
DOI: 10.6084/m9.figshare.27625803
title: Temporal and spatial patterns of riparian vegetation in the Colastiné Basin (Argentina) and riparian ecological quality estimation as tools for water management

description: Information on the riverbanks can improve our ability to monitor water quality and generate adequate management strategies. This research seeks insights into the riverbanks of eight Colastiné River Basin (Argentina) streams, which have been influenced by intensive agricultural land use for decades. We aim to (a) describe the temporal and spatial distribution patterns of riparian vegetation, (b) assess their current riparian quality through riverbank quality indices, and (c) estimate whether the riparian quality is linked to the water quality. Results of the Normalized Difference Vegetation Index (NDVI) showed an increasing trend in the vegetation cover with seasonal periodicities during the last 22 years in only 2 streams. Overall, 41% of plant species registered were exotic although native species dominated in most streams. The overall riverbank quality, based on the mean values of four riverbank quality indexes, was regular-to-bad. The overall water quality of the streams was low and significantly correlated to the Riparian Quality Index, suggesting a link between both compartments. More studies are needed to determine the main variables that establish this connection. Further effort is also needed to generate appropriate indices for this region, as no current ones are still developed.
DOI: 10.6084/m9.figshare.27625803.v1
title: Temporal and spatial patterns of riparian vegetation in the Colastiné Basin (Argentina) and riparian ecological quality estimation as tools for water management

description: Information on the riverbanks can improve our ability to monitor water quality and generate adequate management strategies. This research seeks insights into the riverbanks of eight Colastiné River Basin (Argentina) streams, which have been influenced by intensive agricultural land use for decades. We aim to (a) describe the temporal and spatial distribution patterns of riparian vegetation, (b) assess their current riparian quality through riverbank quality indices, and (c) estimate whether the riparian quality is linked to the water quality. Results of the Normalized Difference Vegetation Index (NDVI) showed an increasing trend in the vegetation cover with seasonal periodicities during the last 22 years in only 2 streams. Overall, 41% of plant species registered were exotic although native species dominated in most streams. The overall riverbank quality, based on the mean values of four riverbank quality indexes, was regular-to-bad. The overall water quality of the streams was low and significantly correlated to the Riparian Quality Index, suggesting a link between both compartments. More studies are needed to determine the main variables that establish this connection. Further effort is also needed to generate appropriate indices for this region, as no current ones are still developed.
DOI: 10.21233/51qp-2s43
title: Beaucoup vertebrate fauna dataset

description: Raw data for the Beaucoup vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.9wpky9
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Bombycidae"
 ]
}

 The dataset includes 239 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026738-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/kbsy-2m35
title: Edworthy Park [EgPm-116] vertebrate fauna dataset

description: Raw data for the Edworthy Park [EgPm-116] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.hchpxq
title: Occurrence Download

description: A dataset containing 55570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.8982 -4.3794,-79.89719 -4.37835,-79.89444 -4.37156,-79.89425 -4.36499,-79.89637 -4.36477,-79.90225 -4.36581,-79.90332 -4.36815,-79.90332 -4.37412,-79.90316 -4.37741,-79.90082 -4.37987,-79.89902 -4.38082,-79.8982 -4.3794))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 55570 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026716-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/mpz7-af36
title: Little Moose Lake diatom bottom sample dataset

description: Raw data for the Little Moose Lake diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fr0z-vx09
title: LDDsite1118 water chemistry dataset

description: Raw data for the LDDsite1118 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/wdty-yd59
title: McRae's Farm water chemistry dataset

description: Raw data for the McRae's Farm water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.kd49yy
title: Occurrence Download

description: A dataset containing 1429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachis pintoi Krapov. & W.C.Greg.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 1429 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026739-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15372114
title: Experimental Data for the Perishable Inventory Model Study

description: This dataset contains the experimental data used in the study titled "Selecting the Right Perishable Inventory Model Based on a Data-Driven Threshold Framework". It includes the input and output data used to generate the figures and tables presented in the manuscript.

The dataset can be reused with any computational tools, such as Python or other preferred software, to replicate the results reported in the study.

All files are provided in open formats (XLSX) to ensure accessibility and facilitate reuse. Users are encouraged to cite this dataset using the provided DOI when reusing these materials.
DOI: 10.5281/zenodo.15390296
title: Experimental Data for the Perishable Inventory Model Study

description: This dataset contains the experimental data used in the study titled "Selecting the Right Perishable Inventory Model Based on a Data-Driven Threshold Framework". It includes the input and output data used to generate the figures and tables presented in the manuscript.

The dataset can be reused with any computational tools, such as Python or other preferred software, to replicate the results reported in the study.

All files are provided in open formats (XLSX) to ensure accessibility and facilitate reuse. Users are encouraged to cite this dataset using the provided DOI when reusing these materials.
DOI: 10.21233/e1h2-pn38
title: Mirabel Bog testate amoebae surface sample dataset

description: Raw data for the Mirabel Bog testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/42z3-5s40
title: Homer Beach pollen dataset

description: Raw data for the Homer Beach pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ncdp-5m98
title: Okanagan Creek water chemistry dataset

description: Raw data for the Okanagan Creek water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/v532-zg88
title: Mockingbird Canyon vertebrate fauna dataset

description: Raw data for the Mockingbird Canyon vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/rz01-r516
title: ALTAKR59 pollen surface sample dataset

description: Raw data for the ALTAKR59 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9acy-tq82
title: Granite Springs Reservoir water chemistry dataset

description: Raw data for the Granite Springs Reservoir water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/t6r4-h520
title: Doornspijk F8 pollen dataset

description: Raw data for the Doornspijk F8 pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.18130/v3/komdzu
title: sciadv.adx6367_dataset

description: Data for Science Advances article adx6367, May 2025
description: Coding principles of dopaminergic transmission modes
DOI: 10.15468/dl.vcpx4b
title: Occurrence Download

description: A dataset containing 279621 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platalea regia Gould, 1838"
 ]
}

 The dataset includes 279621 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026732-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/17xz-sb06
title: South Kratt Lake pollen dataset

description: Raw data for the South Kratt Lake pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/y7fg-4j66
title: Haskell Lake diatom dataset

description: Raw data for the Haskell Lake diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.mbr8q5
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thrips setosus (Moulton, 1928)"
 ]
}

 The dataset includes 51 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026741-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/gg8t-1c68
title: Sams River testate amoebae surface sample dataset

description: Raw data for the Sams River testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/0z0x-8j34
title: Caswell testate amoebae surface sample dataset

description: Raw data for the Caswell testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/jatf-3n07
title: Lake Grinnell (Lanes Pond) diatom surface sample dataset

description: Raw data for the Lake Grinnell (Lanes Pond) diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1g8c-nv87
title: LDDsite3013 water chemistry dataset

description: Raw data for the LDDsite3013 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.23678114
title: Cellular automata to understand the prograding limit of deltaic tidal flat

description: Deltaic tidal flat is an important ecosystem that supports the livelihoods of millions of people globally. Due to the complexity and stochastic nature of tidal flat development, it is a challenging task to predict the tidal flat prograding limit accurately. In this study, we fill out this gap from the perspective of numerical simulation by focusing on the tidal flat extension limit of Nanhui Shoal (NHS), the largest marginal shoal of the Changjiang Estuary. Our results suggest that the tidal flat of NHS extended 29.16 m/y seaward in 1989–2002, had a rapid progradation of 158.08 m/y in 2002–2012 and a retreat rate of 26.88 m/y in 2012–2019, while the fluvial sediment supply decreased 56.78% from 1989–2002 to 2003–2012 and another 20.68% from 2003–2012 to 2013–2019. During the 1989–2002 period, the advancing rate of the −5 m isobaths followed a Gaussian frequency distribution, in agreement with simulation results of cellular automata. We suggest that in the absence of human perturbations, as the sediment input to NHS declines to the threshold of 0.01 × 10<sup>8</sup> t/y, the seaward advance of tidal flats may significantly slow down. However, human interferences generated large uncertainties on the development tendency of the NHS.