cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15278434
title: Evaluation of the Stratospheric Impacts of Stratospheric Aerosol Injection with Solar-Powered Lofting
DOI: 10.15468/dl.rmrdn4
title: Occurrence Download

description: A dataset containing 199544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Material sample, Occurrence evidence, Living Specimen)",
 "Country is one of (Brazil, Colombia, Peru)",
 "Geometry POLYGON((-76.34906 10.92686,-80.04932 2.33107,-76.18086 -0.69576,-79.18576 -3.45512,-82.06765 -3.30095,-78.95606 -15.63547,-71.30324 -19.08628,-67.93936 -18.04995,-68.62694 -15.10883,-68.15738 -11.43918,-66.07339 -10.5302,-65.43045 -12.41467,-64.32194 -13.32365,-60.88556 -14.49867,-58.49568 -17.70641,-58.73955 -20.23381,-58.49568 -21.07628,-57.09085 -26.06911,-58.10002 -31.94866,-49.85851 -34.48115,-43.63534 -24.85428,-37.03688 -22.56523,-32.15925 -6.84114,-38.21423 0.2067,-48.40763 7.54986,-56.14455 9.46272,-65.73161 3.53291,-71.4502 11.61223,-76.34906 10.92686))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Zalophus californianus (Lesson, 1828), Sus scrofa Linnaeus, 1758, Rattus rattus (Linnaeus, 1758), Rattus norvegicus (Berkenhout, 1769), Procyon lotor (Linnaeus, 1758), Paradoxurus hermaphroditus (Pallas, 1777), Ovis aries Linnaeus, 1758, Oligoryzomys nigripes (Olfers, 1818), Odocoileus virginianus (Zimmermann, 1780), Mus musculus Linnaeus, 1758, Mirounga angustirostris (Gill, 1866), Mephitis mephitis (Schreber, 1776), Marmota monax (Linnaeus, 1758), Felis rufus Schreber, 1777, Felis catus Linnaeus, 1758, Equus caballus Linnaeus, 1758, Didelphis marsupialis Linnaeus, 1758, Didelphis albiventris Lund, 1840, Cavia porcellus (Linnaeus, 1758), Cavia Pallas, 1766, Capra aegagrus Erxleben, 1777, Canis lupus Linnaeus, 1758, Bos taurus Linnaeus, 1758, Arvicola terrestris (Linnaeus, 1758), Apodemus agrarius (Pallas, 1771))",
 "Year 2000-2025"
 ]
}

 The dataset includes 199544 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002667-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p134ak8x
title: Estimates of water-quality concentrations from two watersheds affected by the 2020 Cameron Peak Fire in Larimer County, Colorado

description: This data repository documents the input files, output files, and RStudio scripts used to quantify changes in water-quality concentrations after the 2020 Cameron Peak Fire in the North Fork Big Thompson River and Buckhorn Creek watersheds using the Weighted Regressions on Time, Discharge, and Season (WRTDS) method. A WRTDS model was developed using 12 years of pre-fire data (2008-August 13, 2020) and used to make predictions of what water-quality concentrations could have been on post-fire (August 13, 2020-2023) sample days had there not been a fire. This method may be a useful tool for post-fire water-quality assessments in the western United States.
DOI: 10.34740/kaggle/dsv/11986965
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.21233/389z-9d62
title: Trout Peatland I testate amoebae surface sample dataset

description: Raw data for the Trout Peatland I 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: 10.21233/5s4v-1274
title: LDDsite4776 ostracode surface sample dataset

description: Raw data for the LDDsite4776 ostracode 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: 10.5281/zenodo.15342531
title: Data of the Microstructure and Magnetic Properties of Fe67.6-Pd32-In0.4 (at.%) Shape Memory Melt-Spun Ribbons

description: Data related to the research article " Microstructure and Magnetic Properties of Fe67. 6-Pd32-In0. 4 (at.%) Shape Memory Melt-Spun Ribbons." (https://doi.org/10.3390/ma17071674). The figures presented in the article were generated exclusively from these datasets using the data processing methods described therein. For detailed experimental conditions, please refer to the manuscript. Each comma-separated values (CSV) file includes a description of the columns in the first row. Information on data acquisition and processing is provided in the Experimental section of the publication.
DOI: 10.5281/zenodo.15342532
title: Data of the Microstructure and Magnetic Properties of Fe67.6-Pd32-In0.4 (at.%) Shape Memory Melt-Spun Ribbons

description: Data related to the research article " Microstructure and Magnetic Properties of Fe67. 6-Pd32-In0. 4 (at.%) Shape Memory Melt-Spun Ribbons." (https://doi.org/10.3390/ma17071674). The figures presented in the article were generated exclusively from these datasets using the data processing methods described therein. For detailed experimental conditions, please refer to the manuscript. Each comma-separated values (CSV) file includes a description of the columns in the first row. Information on data acquisition and processing is provided in the Experimental section of the publication.
DOI: 10.21233/hg6v-sx68
title: Kaministikwia River water chemistry dataset

description: Raw data for the Kaministikwia River 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/yhd2-hx86
title: Altenweiher testate amoebae dataset

description: Raw data for the Altenweiher testate amoebae 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: 10.17632/trvfb3nwt2.1
title: The PRIOR Datasets for Rapid Geospatial Land Eligibility Analyses in Europe

description: This resource contains the pre-computed land indication datasets (also known as the "Prior" datasets) developed for the preprint "Methodological Framework for Determining the Land Eligibility of Renewable Energy Sources" [1] and evaluated in the publication "Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe" [2]. Please cite these sources if this data is used in published works. Note that the original sources from which these datasets were processed are also indicated in the README.txt file, which should also be credited. The main aspects of the Prior datasets are: 1. Each Prior dataset is a raster file covering the European domain (see note N1) * Spatial reference system is set as "EPSG:3035" * Spatial resolution is 100 meters * Datatype is "UInt8" 2. Each dataset represents exactly one geospatial criteria * Example: "road_proximity" = The distance of each pixel from the nearest roadway 3. Pixel values represent edge indexes, rather than the explicit values themselves * This was chosen to conserve storage space * Example: For "road_proximity"... "Index Value" "Edge Value" 0 = "within 0 meters" 1 = "within 50 meters" 2 = "within 100 meters" 3 = "within 200 meters" 4. Each prior dataset represents a processed view of the fundamental data source, therefore if any of this data is used in a published work the fundamental source should also be cited View README.txt for more information The following datasets are available with this resource: 1. agriculture_arable_proximity 2. agriculture_heterogeneous_proximity 3. agriculture_pasture_proximity 4. agriculture_permanent_crop_proximity 5. agriculture_proximity 6. airfield_proximity 7. airport_proximity 8. camping_proximity 9. dni_threshold 10. elevation_threshold 11. ghi_threshold 12. industrial_proximity 13. lake_proximity 14. leisure_proximity 15. mining_proximity 16. ocean_proximity 17. power_line_proximity 18. connection_distance 19. protected_biosphere_proximity 20. protected_bird_proximity 21. protected_habitat_proximity 22. protected_landscape_proximity 23. protected_natural_monument_proximity 24. protected_park_proximity 25. protected_reserve_proximity 26. protected_wilderness_proximity 27. railway_proximity 28. river_proximity 29. roads_main_proximity 30. roads_proximity 31. access_distance 32. roads_secondary_proximity 33. sand_proximity 34. settlement_proximity 35. settlement_urban_proximity 36. slope_north_facing_threshold 37. slope_threshold 38. touristic_proximity 39. waterbody_proximity 40. wetland_proximity 41. windspeed_100m_threshold 42. windspeed_50m_threshold 43. woodland_coniferous_proximity 44. woodland_deciduous_proximity 45. woodland_mixed_proximity 46. woodland_proximity
DOI: 10.2905/2ff68a52-5b5b-4a22-8f40-c41da8332cfe
title: GHS-POP R2023A - GHS population grid multitemporal (1975-2030)

description: The spatial raster dataset depicts the distribution of population, expressed as the number of people per cell. Residential population estimates between 1975 and 2020 in 5 years intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or administrative units to grid cells, informed by the distribution, density, and classification of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch. This dataset is an update of the product released in 2022. Major improvements are the following: use of built-up volume maps (GHS-BUILT-V R2022A); use of more recent and detailed population estimates derived from GPWv4.11 integrating both UN World Population Prospects 2022 country population data and World Urbanisation Prospects 2018 data on Cities; revision of GPWv4.11 population growthrates by convergence to upper administrative level growthrates; systematic improvement of census coastlines; systematic revision of census units declared as unpopulated; integration of non-residential built-up volume information (GHS-BUILT-V_NRES R2023A); spatial resolution of 100m Mollweide (and 3 arcseconds in WGS84); projections to 2030.
DOI: 10.2909/960998c1-1870-4e82-8051-6485205ebbac
title: CORINE Land Cover 2018 (raster 100 m), Europe, 6-yearly - version 2020_20u1, May 2020

description: Corine Land Cover 2018 (CLC2018) is one of the Corine Land Cover (CLC) datasets produced within the frame the Copernicus Land Monitoring Service referring to land cover / land use status of year 2018. CLC service has a long-time heritage (formerly known as "CORINE Land Cover Programme"), coordinated by the European Environment Agency (EEA). It provides consistent and thematically detailed information on land cover and land cover changes across Europe. CLC datasets are based on the classification of satellite images produced by the national teams of the participating countries - the EEA members and cooperating countries (EEA39). National CLC inventories are then further integrated into a seamless land cover map of Europe. The resulting European database relies on standard methodology and nomenclature with following base parameters: 44 classes in the hierarchical 3-level CLC nomenclature; minimum mapping unit (MMU) for status layers is 25 hectares; minimum width of linear elements is 100 metres. Change layers have higher resolution, i.e. minimum mapping unit (MMU) is 5 hectares for Land Cover Changes (LCC), and the minimum width of linear elements is 100 metres. The CLC service delivers important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as e.g. protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, monitoring urban land take, assessing developments in agriculture or dealing with water resources directives. CLC belongs to the Pan-European component of the Copernicus Land Monitoring Service (https://land.copernicus.eu/), part of the European Copernicus Programme coordinated by the European Environment Agency, providing environmental information from a combination of air- and space-based observation systems and in-situ monitoring. Additional information about CLC product description including mapping guides can be found at https://land.copernicus.eu/user-corner/technical-library/. CLC class descriptions can be found at https://land.copernicus.eu/user-corner/technical-library/corine-land-cover-nomenclature-guidelines/html/.
DOI: 10.21233/kdhx-vn42
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/qpj0-vb30
title: Navajo Reservoir Site LA 4299 vertebrate fauna dataset

description: Raw data for the Navajo Reservoir Site LA 4299 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/zw4s-mt59
title: West Adams Trail Peatland testate amoebae surface sample dataset

description: Raw data for the West Adams Trail Peatland 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/dxtr-gh45
title: Agency Lake water chemistry dataset

description: Raw data for the Agency Lake 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: 10.18112/openneuro.ds006128.v1.0.1
title: Data for "Modeling 2D Spatio-Tactile Population Receptive Fields of the Fingertip in Human Primary Somatosensory Cortex"
DOI: 10.21233/2sbc-7z67
title: Dry diatom surface sample dataset

description: Raw data for the Dry 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/a069-fp40
title: Xinjiang2 testate amoebae surface sample dataset

description: Raw data for the Xinjiang2 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: 10.21233/2gb6-zj03
title: St. Anne Lake pollen dataset

description: Raw data for the St. Anne 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: 10.15468/dl.rt4js9
title: Occurrence Download

description: A dataset containing 670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((75.68094 19.04928,95.26696 19.04928,95.26696 27.26932,75.68094 27.26932,75.68094 19.04928))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lantana L."
 ]
}

 The dataset includes 670 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023054-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/sawf-ab97
title: NLA06608-1575 water chemistry dataset

description: Raw data for the NLA06608-1575 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: 10.21233/1yx9-zp25
title: Gaodi testate amoebae surface sample dataset

description: Raw data for the Gaodi 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: 10.21233/8ygs-pd89
title: LDDsite128 water chemistry dataset

description: Raw data for the LDDsite128 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/q7az-pt34
title: South Mineral Iron Fen testate amoebae surface sample dataset

description: Raw data for the South Mineral Iron Fen 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: 10.6084/m9.figshare.28196174.v1
title: “Exploring the Potential of Ferulic Acid loaded Nanostructured Lipid Carriers: Angiotensin Inhibition via Docking, Formulation, and Pharmacokinetic and Pharmacodynamics Studies”

description: Ferulic acid (FA) is a phenolic compound obtained naturally and is a versatile antioxidant identified for its potential in managing hypertension. However, its application is constrained due to its classification as a BCS Class IV moiety. To address this, we concentrated on improving its solubility and permeability by developing nanostructured lipid carriers (NLCs) of FA using emulsification probe sonication technique. Lipids stearic acid and Labrasol, surfactant Tween 80, and sonication time were adopted for the formulation studies, with optimization utilizing Box-Behnken design. The FA-NLCs were evaluated for particle size, zeta potential, PDI, entrapment efficiency, and in vitro release. Pharmacokinetic and intestinal uptake studies were carried out on male Wistar rats. Pharmacodynamic studies were performed using the high fructose diet model for hypertension in Sprague Dawley rats. In-silico studies, exposed a strong interaction between FA and ACE receptor (1UZF), with docking score of -7.144 kcal/mol and binding energy of -54.624 kcal/mol. Optimized formulation (F12 FA-NLC) established a particle size of 103.4 ± 8.89 nm, zeta potential of −43.6 mV, polydispersity index of 0.531 ± 0.021, and entrapment efficiency of 88.90 ± 6.27%. In-vitro release studies displayed, that plain FA released 103.13 ± 8.80% within 4 hours, whereas, FA-NLCs released 40.34 ± 5.35% drug after 24 hours indicating sustained release. Pharmacokinetic studies of FA-NLC showed a 2.6-fold increase in C <sub>max</sub> and a 1.9-fold increase in AUC and half-life compared to pure <b>FA, which was extremely significant (p &lt; 0.001). Pharmacodynamic assessments specified that FA-NLC significantly reduced blood pressure by 39.9 ± 7.10 mmHg over 8 hours, compared to 30.8 ± 8.12 mmHg for plain FA (p &lt; 0.001).</b> Intestinal uptake results emphasized significant lymphatic uptake via clathrin-mediated endocytosis, bypassing first-pass metabolism, thus, improving therapeutic efficacy. Therefore, the study concluded that FA-NLC effectively reduced blood pressure as compared to plain FA.
DOI: 10.15468/dl.4bxj2q
title: Occurrence Download

description: A dataset containing 32202 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Hibernation Survey"
 ]
}

 The dataset includes 32202 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023055-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/zp03-6x97
title: Bay of Quinte/Big Bay ostracode surface sample dataset

description: Raw data for the Bay of Quinte/Big Bay ostracode 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: 10.21233/2anh-we42
title: Edwards Creek ostracode surface sample dataset

description: Raw data for the Edwards Creek ostracode 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: 10.5281/zenodo.14245332
title: Code and data for: An integrative framework to combine migratory connectivity and demographic data

description: This folder contains all the material necessary to reproduce the workflow of the research article: "An integrative framework to combine migratory connectivity and demographic data":



"data": processed demographic and migration data for the Eurasian curlew

"R": codes to simulate data, run the models on the simulated data and the curlew data, and plot the figures

"output": outputs of the models used in the article

"figures": figures and numbers reported in the article and in the supporting information
DOI: 10.5281/zenodo.14245333
title: Code and data for: An integrative framework to combine migratory connectivity and demographic data

description: This folder contains all the material necessary to reproduce the workflow of the research article: "An integrative framework to combine migratory connectivity and demographic data":



"data": processed demographic and migration data for the Eurasian curlew

"R": codes to simulate data, run the models on the simulated data and the curlew data, and plot the figures

"output": outputs of the models used in the article

"figures": figures and numbers reported in the article and in the supporting information