cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7274/28792595
title: Understanding Controls on Stream Ecosystem Function Using Experiments Across a Range of Spatial Scales from Mesocosms to Watersheds

description: Global environmental changes such as climate and land use change alter the quantity of energy and nutrient inputs to aquatic ecosystems. My dissertation examines how organic matter and nutrient inputs influence stream biogeochemistry and ecosystem function under changing conditions, using experiments conducted across spatial scales. In my first chapter, I assessed how stream warming affects nutrient uptake across different substrates using indoor experimental mesocosms. Warming increased the rate of nutrient uptake, particularly by biofilms on inorganic substrates. Specifically, ammonium (NH4+-N) removal was more sensitive to elevated temperatures than soluble reactive phosphorus (SRP). These findings suggest that on a warming planet, nutrient cycling may be altered. In my second chapter, I compared ecosystem responses to a novel form of organic matter input, periodical cicadas, and standard leaf litter using outdoor experimental streams. Cicadas decomposed rapidly, releasing pulses of dissolved nutrients and carbon that enhanced metabolism and nutrient uptake compared to leaves, highlighting their role as a unique resource subsidy. In my third chapter, I quantified reach-scale denitrification, a process that removes nitrogen (N) from streams, in a tributary and mainstem river across three seasons, by measuring nitrogen gas (N2) with a membrane inlet mass spectrometer (MIMS). Denitrification rates were higher per unit area streambed in the tributary, particularly in spring when nitrate (NO3--N) concentrations peaked. However, when expressed per km of channel length, rates were more similar between systems, indicating that human-impacted freshwaters of all sizes play a role in N removal. In my fourth chapter, I evaluated how winter cover crops affect sediment export in two agricultural watersheds. Cover crops reduced field-scale sediment export by 26–65% and, when fully implemented, could decrease watershed-scale export by 6-67%. Therefore, cover crops may limit sediment export during winter and spring. In my fifth chapter, I conducted a synoptic sampling of 105 stream and river sites across four river basins in Michigan and Indiana to examine how land use and stream size influence water chemistry signatures. Concentrations of NO3--N, NH4+-N, and SRP were higher in agricultural basins and did not differ between tributary and mainstem sites, and N2 and nitrous oxide (N2O) disequilibrium was more strongly associated with stream discharge than NO3--N concentrations, highlighting the complexity of nutrient dynamics in human-impacted systems. As human disturbances and climate change reshape stream ecosystems, understanding the drivers of biogeochemical processes is critical. My research advances knowledge of nutrient and energy dynamics in fluvial systems, informs conservation efforts, predicts aquatic responses to climate warming, and highlights the critical role of streams and rivers in mitigating nutrient pollution on a changing planet.
DOI: 10.15468/dl.vzx298
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cycloderma frenatum Peters, 1854"
 ]
}

 The dataset includes 110 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028436-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xheqxj
title: Occurrence Download

description: A dataset containing 1016 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tunicates collection (TSZT) The Arctic University Museum of Norway"
 ]
}

 The dataset includes 1016 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028437-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qnhnk
title: Occurrence Download

description: A dataset containing 8412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Perumytilus purpuratus (Lamarck, 1819), Choromytilus chorus (Molina, 1782), Austromegabalanus psittacus (Molina, 1788), Jehlius cirratus (Darwin, 1854), Notochthamalus scabrosus (Darwin, 1854), Tegula atra (Lesson, 1831), Fissurella crassa Lamarck, 1822, Fissurella picta (Gmelin, 1791), Chiton granosus Frembly, 1827, Acanthina monodon (Pallas, 1774), Emerita analoga (Stimpson, 1857), Excirolana braziliensis Richardson, 1912, Chthamalus dentatus Krauss, 1848, Notochthamalus Foster & Newman, 1987, Fissurella Bruguière, 1789)"
 ]
}

 The dataset includes 8412 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028440-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15368403
title: AMOC reconstructions at different latitudes based on convolutional neural networks

description: This upload gives access to 9 reconstructed time series of the AMOC from 1900 to 2022. Reconstructed time series span different latitudes, ranging from 20°N to 60°N, with an increment of 5°. Codes to produce these reconstructions are also provided.
DOI: 10.5281/zenodo.15368404
title: AMOC reconstructions at different latitudes based on convolutional neural networks

description: This upload gives access to 9 reconstructed time series of the AMOC from 1900 to 2022. Reconstructed time series span different latitudes, ranging from 20°N to 60°N, with an increment of 5°. Codes to produce these reconstructions are also provided.
DOI: 10.5281/zenodo.15393789
title: AMOC reconstructions at different latitudes based on convolutional neural networks

description: This upload gives access to 9 reconstructed time series of the AMOC from 1900 to 2022. Reconstructed time series span different latitudes, ranging from 20°N to 60°N, with an increment of 5°. Codes to produce these reconstructions are also provided.
DOI: 10.15468/dl.vswhwm
title: Occurrence Download

description: A dataset containing 7814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galemys pyrenaicus (É.Geoffroy Saint-Hilaire, 1811)"
 ]
}

 The dataset includes 7814 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028443-250426092105405/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.29048159
title: CO2 prediction results

description: Enhanced urban CO<sub>2</sub> monitoring and understanding the spatiotemporal patterns and driving factors of urban CO<sub>2</sub> concentrations contribute to the effective management of urban CO<sub>2</sub> emissions and the development of strategies to mitigate climate change. This study focuses on accurately predicting and mapping CO<sub>2</sub> concentrations in Shenzhen’s road network by integrating vehicle-cruising CO<sub>2</sub> observations, street view panoramas, and multisource remote sensing data. By utilizing street view panoramas to capture the surrounding street configuration features and multisource remote sensing data to map nearby urban landscape features, we developed the CO<sub>2</sub> prediction model with R² of 0.92 and MAE of 3.297 ppm. Furthermore, we identified eight high-CO<sub>2</sub> concentration areas and examined impacts of urban function, urban development, traffic condition, environment condition on CO<sub>2</sub> concentrations by explainable machine learning techniques. In urban centers, human activities have a substantial impact on CO2 levels, noticeably increasing during peak commuting times. Effective non-motorway planning, convenient public transport, and diverse urban functions can help reduce CO<sub>2</sub> concentrations. Areas with high vegetation cover also show high CO<sub>2</sub> concentrations, and the impact of greenery on Shenzhen’s CO<sub>2</sub> concentrations is positive in November. This paper offers a new perspective on refined CO<sub>2</sub> emission observation and the analysis of complex driving factors, providing novel technical approaches that enhance the precision of CO<sub>2</sub> concentrations prediction, and offer interpretable methods for urban CO2 monitoring and management.
DOI: 10.25326/vahe-t793
title: Atmospheric simulation chamber study: desert dust + water + ice + None - Cloud study - 2003-10-01
DOI: 10.15468/dl.4eqjxs
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ethiopia, Kenya)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Galinsoga parviflora Cav."
 ]
}

 The dataset includes 64 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028444-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t72r8x
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fistularia corneta Gilbert & Starks, 1904"
 ]
}

 The dataset includes 283 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028445-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15396838
title: Humanitarian Demining and Economic Development in Laos

description: This is the replication archive for: Mehrotra, Rahul, The Day Does Not Exist When We Will Forget: Humanitarian Demining and Economic Development in Laos (April 30, 2025). Available at SSRN: https://ssrn.com/abstract=5237440 or http://dx.doi.org/10.2139/ssrn.5237440
DOI: 10.5281/zenodo.15396839
title: Humanitarian Demining and Economic Development in Laos

description: This is the replication archive for: Mehrotra, Rahul, The Day Does Not Exist When We Will Forget: Humanitarian Demining and Economic Development in Laos (April 30, 2025). Available at SSRN: https://ssrn.com/abstract=5237440 or http://dx.doi.org/10.2139/ssrn.5237440
DOI: 10.48579/pro/kucoqi
title: Oise: Entre Chauny et Compiègne (19ème siècle)

description: Ce plan de l'Oise entre Chauny et Compiègne figure le canal de Manicamps (1821), le canal de Saint Quentin (1721 et 1802) et le canal latéral à l'Oise (1822) à l'état de projet. Pourtant la carte semble avoir été dessinée au XIX siècle. De plus l'exactitude du projet fait douter du code couleur adopté. Raster GeoTIFF : EAT_Oise_Chauny_Compiegne_180.tif Service des Cartes et Plans des Archives Nationales. Cote AN F/14/10071/1/9. Numérisation en 2014. Géoréférencement en 2014 par Aurélien Baro. Mise en ligne en avril 2015. Métadonnées par Julie DAVODET et Juliette AUDET.
DOI: 10.15468/dl.enppba
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gomphrena celosioides Mart."
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028447-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pfr54
title: Occurrence Download

description: A dataset containing 38305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 38305 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028448-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15283386
title: The Dead Do Tell Tales: Using Pathology Data from Cetacean Necropsy Reports to Gain Insights into Harbour Porpoise Health

description: Datasets and accompanying code for the manuscipt The Dead Do Tell Tales: Using Pathology Data from Cetacean Necropsy Reports to Gain Insights into Harbour Porpoise Health.
DOI: 10.5281/zenodo.15397048
title: Zooplankton Chile upwelling

description: This dataset was collected from three coastal stations in the Southeast Pacific: two in the northern upwelling region off Iquique (Stations T3 and T5) and one in the southern upwelling area off Concepción (Station T39). Sampling was conducted during austral summer onboard RV Cabo de Hornos (2018, cruise: LowpHox II) and RV Sonne (2023, cruise: So296/2). Hydrographic profiles were obtained using a Seabird SBE-9 plus CTD system equipped with oxygen and fluorescence sensors. Zooplankton samples were collected during both day and night using a stratified Hydrobios Multinet Midi (200 μm mesh size) across five depth strata down to 900 m.

Zooplankton samples were processed using the Hydroptic ZooScan imaging system, resulting in semi-automated taxonomic classification and biomass estimation. Stable isotope ratios (δ13C and δ15N) were analyzed from lyophilized samples to infer trophic structure and carbon flow. Lipid-normalized δ13C values were corrected based on C:N ratios following Post et al. (2007).
DOI: 10.5281/zenodo.15397049
title: Zooplankton Chile upwelling

description: This dataset was collected from three coastal stations in the Southeast Pacific: two in the northern upwelling region off Iquique (Stations T3 and T5) and one in the southern upwelling area off Concepción (Station T39). Sampling was conducted during austral summer onboard RV Cabo de Hornos (2018, cruise: LowpHox II) and RV Sonne (2023, cruise: So296/2). Hydrographic profiles were obtained using a Seabird SBE-9 plus CTD system equipped with oxygen and fluorescence sensors. Zooplankton samples were collected during both day and night using a stratified Hydrobios Multinet Midi (200 μm mesh size) across five depth strata down to 900 m.

Zooplankton samples were processed using the Hydroptic ZooScan imaging system, resulting in semi-automated taxonomic classification and biomass estimation. Stable isotope ratios (δ13C and δ15N) were analyzed from lyophilized samples to infer trophic structure and carbon flow. Lipid-normalized δ13C values were corrected based on C:N ratios following Post et al. (2007).
DOI: 10.5281/zenodo.15396875
title: University of Notre Dame Environmental Research Center - ForestGEO plot - ACESUG gene expression maps
DOI: 10.5281/zenodo.15396876
title: University of Notre Dame Environmental Research Center - ForestGEO plot - ACESUG gene expression maps
DOI: 10.5281/zenodo.15395904
title: Raw data -Xenium - Barba reyes et al. 2025- part 2/3

description: This repository includes the raw data of PD patients profiled with Xenium for Barba Reyes et al. 2025. (Part 2/2)

For processed data, use: 10.5281/zenodo.15304115

 

Other raw data is in:

(1/3) -10.5281/zenodo.15393965

(3/3)- 10.5281/zenodo.15396670

 

Also Xenium files from healthy donors  can be obtained from Garma et al. 2025:

https://www.nature.com/articles/s41467-024-50414-w
DOI: 10.5281/zenodo.15395905
title: Raw data -Xenium - Barba reyes et al. 2025- part 2/3

description: This repository includes the raw data of PD patients profiled with Xenium for Barba Reyes et al. 2025. (Part 2/2)

For processed data, use: 10.5281/zenodo.15304115

 

Other raw data is in:

(1/3) -10.5281/zenodo.15393965

(3/3)- 10.5281/zenodo.15396670

 

Also Xenium files from healthy donors  can be obtained from Garma et al. 2025:

https://www.nature.com/articles/s41467-024-50414-w
DOI: 10.15468/dl.x47gx8
title: Occurrence Download

description: A dataset containing 173465 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Xiphias gladius Linnaeus, 1758, Makaira mazara (Jordan & Snyder, 1901))"
 ]
}

 The dataset includes 173465 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028439-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ae8knd
title: Occurrence Download

description: A dataset containing 38305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 38305 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028450-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21954/ou.rd.29047913
title: Urban woodland network shape files

description: These data are the urban woodland habitat networks of eleven different cities: Nottingham, Plymouth, Stoke-on-Trent, Milton Keynes, Coventry, Wolverhampton, Northampton, Birkenhead, Derby, Luton and Kingston-Upon-Hull.Three types of data are used to create the shape files:The OS MasterMap Topography (EDINA Digimap Ordnance Survey Service, 2024) ‘Natural Environment’ layer.This was overlain upon the latest version of the LandCover Map (EDINA Environment Digimap Service, 2022) for each urban area using QGIS (https://qgis.org/). Urban area boundaries were determined and clipped using the experimental urban extent polygons for the UK (ONS, 2019).ReferencesEDINA Digimap Ordnance Survey Service (2024) <i>OS MasterMap® Topography Layer [GeoPackage geospatial data], Scale 1:1250, Tiles: GB, Updated: 1 February 2024, Ordnance Survey (GB)</i>. Available at: https://digimap.edina.ac.uk (Accessed: 10 July 2024).EDINA Environment Digimap Service (2022) <i>Land Cover Map 2021 [FileGeoDatabase geospatial data], Scale 1:250000, Tiles: GB, Updated: 10 August 2022, CEH</i>. Available at: https://digimap.edina.ac.uk (Accessed: 10 July 2024).ONS (2019) <i>Experimental urban extent for UK - Office for National Statistics</i>. Available at: https://www.ons.gov.uk/aboutus/transparencyandgovernance/experimentalurbanextentforuk (Accessed: 26 August 2024).
DOI: 10.21954/ou.rd.29047913.v1
title: Urban woodland network shape files

description: These data are the urban woodland habitat networks of eleven different cities: Nottingham, Plymouth, Stoke-on-Trent, Milton Keynes, Coventry, Wolverhampton, Northampton, Birkenhead, Derby, Luton and Kingston-Upon-Hull.Three types of data are used to create the shape files:The OS MasterMap Topography (EDINA Digimap Ordnance Survey Service, 2024) ‘Natural Environment’ layer.This was overlain upon the latest version of the LandCover Map (EDINA Environment Digimap Service, 2022) for each urban area using QGIS (https://qgis.org/). Urban area boundaries were determined and clipped using the experimental urban extent polygons for the UK (ONS, 2019).ReferencesEDINA Digimap Ordnance Survey Service (2024) <i>OS MasterMap® Topography Layer [GeoPackage geospatial data], Scale 1:1250, Tiles: GB, Updated: 1 February 2024, Ordnance Survey (GB)</i>. Available at: https://digimap.edina.ac.uk (Accessed: 10 July 2024).EDINA Environment Digimap Service (2022) <i>Land Cover Map 2021 [FileGeoDatabase geospatial data], Scale 1:250000, Tiles: GB, Updated: 10 August 2022, CEH</i>. Available at: https://digimap.edina.ac.uk (Accessed: 10 July 2024).ONS (2019) <i>Experimental urban extent for UK - Office for National Statistics</i>. Available at: https://www.ons.gov.uk/aboutus/transparencyandgovernance/experimentalurbanextentforuk (Accessed: 26 August 2024).
DOI: 10.5281/zenodo.15386931
title: Dataset for "Generalized ENZ Polaritons on Uniaxial Metasurfaces"

description: Scripts for "Generalized Epsilon-Near-Zero Polaritons on Uniaxial Metasurfaces". Preview, to be updated when accepted.
DOI: 10.5281/zenodo.15386932
title: Dataset for "Generalized ENZ Polaritons on Uniaxial Metasurfaces"

description: Scripts for "Generalized Epsilon-Near-Zero Polaritons on Uniaxial Metasurfaces". Preview, to be updated when accepted.
DOI: 10.57841/casdc.0005485
title: GC1的自然变异导致高粱裸粒
DOI: 10.15468/dl.zd9b2e
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Halophila stipulacea (Forssk.) Asch."
 ]
}

 The dataset includes 63 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028453-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dycrzx
title: Occurrence Download

description: A dataset containing 38305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 38305 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028452-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7raf49
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bactrocera tsuneonis (Miyake, 1919)"
 ]
}

 The dataset includes 192 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028451-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qugybh
title: Occurrence Download

description: A dataset containing 739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Alouatta guariba (Humboldt, 1812)",
 "Year 1970-2025"
 ]
}

 The dataset includes 739 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028454-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cw2bqw
title: Occurrence Download

description: A dataset containing 1552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Xylophanes Hübner",
 "Year 1000-2025"
 ]
}

 The dataset includes 1552 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028455-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.