cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.eejmaq
title: Occurrence Download

description: A dataset containing 28897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psilochalcis usta (Grissell & Schauff, 1981), Psilochalcis deceptor (Grissell & Schauff, 1981), Psilochalcis mirabilis (Boucek, 1952), Plutarchia giraulti Subba Rao, 1974, Encarsia nigricephala Dozier, 1937, Brachymeria phya (Walker, 1838), Anagyrus mirzai Agarwal & Alam, 1959, Stenomesius japonicus (Ashmead, 1904), Eretmocerus californicus Howard, 1895, Perilampus granulosus Crawford, 1914, Goetheana shakespearei Girault, 1920, Elasmus brevicornis Gahan, 1922, Antrocephalus mitys (Walker, 1846), Elasmus anticles Walker, 1846, Conura side (Walker, 1843), Encarsia citrella (Howard, 1908), Encarsia sophia (Girault & Dodd, 1915), Euplectrus platyhypenae Howard, 1885, Copidosoma truncatellum (Dalman, 1820), Brachymeria minuta (Linnaeus, 1767), Sympiesis dolichogaster Ashmead, 1888, Homalotylus flaminius (Dalman, 1820), Perilampus fulvicornis Ashmead, 1886, Brachymeria lasus (Walker, 1841), Cuscuta campestris Yunck., Olpidiaster brassicae (Woronin) Doweld, Leptosphaerulina crassiasca (Séchet) C.R.Jacks. & D.K.Bell, Curvularia spicifera (Bainier) Boedijn, Scutellonema cavenessi Sher, 1963, Pleosphaerulina sojicola Miura, Cylindrocladium clavatum Hodges & L.C.May, Fusarium gibbosum Appel & Wollenw., Robustodorus arachidis (Bos, 1977) Kanzaki, Shokoohi, Fourie, Swart, Muller & Giblin Davis, 2018, Verticillium dahliae Kleb., Meloidogyne arenaria (Neal, 1889) Chitwood, 1949, Alternaria tenuissima (Kunze) Wiltshire, Pestalotiopsis arachidis Satya, Nothopassalora personata (Berk. & M.A.Curtis) U.Braun, C.Nakash., Videira & Crous, Diaporthe phaseolorum (Cooke & Ellis) Sacc., Didymella aliena (Fr.) Qian Chen & L.Cai, Grovesinia pyramidalis M.N.Cline, J.L.Crane & S.D.Cline, Rhizopus arrhizus A.Fisch., Pratylenchus speijeri De Luca, Troccoli, Duncan, Subbotin, Waeyenberge, Coyne, Brentu & Inserra, 2012, Tylenchorhynchus brevilineatus Williams, 1960, Mesocriconema ornatum (Raski, 1958) Loof & De Grisse, 1989, Aspergillus flavus Link, Paramyrothecium roridum (Tode) L.Lombard & Crous, Colletotrichum dematium (Pers.) Grove, Pratylenchus brachyurus (Godfrey, 1929) Filipjev & Schuurmans Stekhoven, 1941, Stemphylium botryosum Wallr.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28897 records from 723 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013702-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjr4z7
title: Occurrence Download

description: A dataset containing 20191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 20191 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008467-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5c3g4b
title: Occurrence Download

description: A dataset containing 11623 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is American Museum of Natural History (AMNH) Hymenoptera Meliponini Collection"
 ]
}

 The dataset includes 11623 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008466-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9iw5cl7
title: Global compilation of published gas hydrate-related bottom simulating reflections

description: Bottom simulating reflections (BSRs) are seismic features that are imaged in marine sediments using high-energy, impulsive seismic sources such as air guns or generator-injector guns. BSRs often cut across sediment stratigraphy and are interpreted as marking the deepest depth at which gas hydrate can exist. Gas hydrate is a naturally occurring and widely distributed frozen form of water and gas (usually methane) stable at low temperatures (up to about 25 degrees Celsius [&deg;C]) and intermediate pressures (those that usually correspond to greater than 500 meters water depth). BSRs have been mapped in all the world&rsquo;s oceans, in inland seas (such as the Black Sea), and in Lake Baikal in Russia. This data release consists of a GeoPackage that compiles digitized BSR maps from published scientific papers and other sources into a single resource, with attribution to the original researchers. An associated spreadsheet provides the same descriptive information about each of the original BSR maps in a form accessible without opening the GeoPackage. A GeoPackage is an open-source, platform-independent, standards-based package of geospatial data for a geographic information system (GIS). To formulate the dataset, published BSR maps were georeferenced, digitized, and converted to a common geographic coordinate system, and the resulting files were assigned a quality factor based on characteristics of the original maps and the difficulty of georeferencing. As described in detail in the associated metadata, most maps had a single polygon or multiple polygons enclosing the area where BSRs were recognized by the original researchers. Some maps had only circles or ovals around areas interpreted as containing BSRs, and these geometric shapes were digitized for the database. A few maps indicated the precise segments of individual seismic lines where BSRs are identified, resulting in BSRs being digitized as polylines instead of polygons. Polygons for BSRs in the northern Gulf of Mexico and U.S. Atlantic margin are based on files provided for direct release (no georeferencing necessary) by the Bureau of Ocean Energy Management.
DOI: 10.5066/p9gu07fl
title: U.S. Geological Survey simulations of 3D-hydrodynamics in Delaware Bay (2019) to improve understanding of the mechanisms driving salinity intrusion

description: The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST Warner and others, 2019; Warner and others, 2010) model was used to simulate three-dimensional hydrodynamics and waves to study salinity intrusion in the Delaware Bay estuary for 2019. Salinity intrusion in coastal systems is due in part to extreme events like drought or low-pressure storms and longer-term sea level rise, threatening economic infrastructure and ecological health. Along the eastern seaboard of the United States, approximately 13 million people rely on the water resources of the Delaware River basin, which is actively managed to suppress the salt front (or ~0.52 daily averaged psu line) through river discharge targets. However, river discharge is only part of the story. The other mechanisms controlling salinity intrusion include tidal motions on daily and spring-neap cycles, bathymetric and topographic features, and meteorological events. It is the interaction of these mechanisms that ultimately determines the distribution of salt in an estuary, particularly during periods of low discharge. The purpose of this study is to examine the mechanisms controlling the location of the salt front in the Delaware Bay estuary using a calibrated three-dimensional hydrodynamic model, the Coupled Ocean Atmosphere Wave and Sediment Transport (COAWST; v. 3.6) modeling system. The model was forced with tides, subtidal water levels, bulk atmospheric conditions, and waves. Compared with the observation-based location of the salt front line the model captured the major dynamics throughout the year and performed well during times of low discharge. The daily average salt front moved almost 16 km (10 mi) within a neap-spring tidal cycle, while low pressure storm systems were found to move the daily averaged salt front by 13-16 km in one event. 
 
This is a summary page for the collection of 4 subpages.
 
-The first subpage is for the Delaware Bay simulation with only river discharge and tidal forcing.
-The second subpage is for the Delaware Bay simulation with river discharge, tidal forcing, and subtidal water levels.
-The third subpage is for the Delaware Bay simulation with river discharge, tidal forcing, subtidal water levels, and bulk atmospheric forcing.
-The fourth subpage is for the Delaware Bay simulation with river discharge, tidal forcing, subtidal water levels, bulk atmospheric forcing, and waves.
 
Reference cited:
 
Warner, J.C., Armstrong, Brandy, He, Ruoying, and Zambon, J.B., 2010, Development of a coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system: Ocean Modelling, v. 35, issue 3, p. 230-244.
 
Warner, J.C., Ganju, N.K., Sherwood, C.R., Tarandeep, K., Aretxabaleta, A., He, R., Zambon, J., and Kumar, N., 2019, Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System: U.S. Geological Survey Software Release, 23 April 2019, https://doi.org/10.5066/P9NQUAOW.
DOI: 10.15468/dl.drgktk
title: Occurrence Download

description: A dataset containing 2320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lygodium japonicum",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 2320 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008469-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5p26qh22
title: MassIVE MSV000100021 - Chemical Profiling of Larvae, Pupae, and Adults of B. polydamas from A. gigantea Leaves
title: The data contain mass spectra from larvae, pupae, adults, frass, and host plant leaves (A. gigantea). For metabolite extraction, samples were frozen and ground with liquid nitrogen to a fine powder. The powder was extracted with a mixture of ethyl acetate and methanol by static maceration for 24 hours at room temperature. After centrifugation, the supernatant was collected, the solvent evaporated, and the dried extracts were prepared for analysis. The samples were then analyzed by Gas Chromatography Mass Spectrometry.
DOI: 10.5281/zenodo.17715870
title: Excitonic negative refraction mediated by magnetic orders - source data
DOI: 10.5281/zenodo.17715871
title: Excitonic negative refraction mediated by magnetic orders - source data
DOI: 10.15468/dl.5hcueh
title: Occurrence Download

description: A dataset containing 2328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rangifer tarandus",
 "Year 2025-2025"
 ]
}

 The dataset includes 2328 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008472-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9n6j1sn
title: Geospatial Datasets of Factors Influencing Pluvial Flood Potential in Long Island, New York and Near Coastal Areas Surrounding Long Island Sound in New York, Connecticut, and Rhode Island

description: 

This data release provides spatial digital data for factors that influence pluvial flood hazard potential, including closed depressions, curve number, drainage networks, topographic slope, average annual rainfall, 1-hr and 24-hour 100-year return period rainfall accumulation, and locations of recorded floods. In addition, these flood influencing factors are summarized to a common 900-meter by 900-meter polygrid and a pluvial flood hazard rank calculated for each grid cell according to methods described in Welk and others (2025). Two sets of flood hazard ranks are provided: one based on expert judgment using the Analytic Hierarchy Process (AHP), and another derived from iterative ensemble smoothing, in which AHP matrix values were varied and calibrated against a dataset of recorded flood locations. A pairwise comparison matrix is included to document the expert-based weighting process. More details are available in Welk and others (2025).
DOI: 10.15468/dl.gyrbjy
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miconia brevitheca"
 ]
}

 The dataset includes 291 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008471-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q77syf
title: Occurrence Download

description: A dataset containing 12015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysuronia goudoti",
 "Year 2000-2025"
 ]
}

 The dataset includes 12015 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008473-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p96a2q5x
title: Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia

description: Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal, state, and local sources. First, a decision tree-based dataset is built that describes the fabric or integrity of the coastal landscape and includes landcover, elevation, slope, long-term (greater than 150 years) shoreline change trends, dune height, and marsh stability data. A second database was generated from coastal hazards, which are divided into event hazards (e.g., flooding, wave power, and probability of storm overwash) and persistent hazards (e.g., relative sea-level rise rate, short-term (about 30 years) shoreline erosion rate, and storm recurrence interval). The fabric dataset is then merged with the coastal hazards databases and a training dataset made up of hundreds of polygons is generated from the merged dataset to support a supervised learning classification. Results from this pilot study are location-specific at 10-meter resolution and are made up of four raster datasets that include (1) quantitative and qualitative information used to determine the resistance of the landscape to change, (2 and 3) the potential coastal hazards that act on it, (4) the machine learning output, or Coastal Change Likelihood, based on the cumulative effects of both fabric and hazards, and (5) an estimate of the hazard type (event or persistent) that is the likely to influence coastal change. Final outcomes are intended to be used as a first order planning tool to determine which areas of the coast may be more likely to change in response to future potential coastal hazards, and to examine elements and drivers that make change in a location more likely.
DOI: 10.15468/dl.tr9zbh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puma concolor costaricensis",
 "Year 1970-2023"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008474-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5g47uc
title: Occurrence Download

description: A dataset containing 67836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcedo atthis",
 "Year 2025-2025"
 ]
}

 The dataset includes 67836 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008459-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xetfbn
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hesperocyparis stephensonii",
 "Year 2016-2025"
 ]
}

 The dataset includes 52 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008475-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7pdty
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lythrum salicaria",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 334 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008476-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ko4w3i
title: Replication Data for: The Minimum Wage, Turnover, and the Shape of the Wage Distribution

description: This is the replication package for "The Minimum Wage, Turnover, and the Shape of the Wage Distribution," accepted in 2025 by the Journal of Labor Economics.
DOI: 10.15468/dl.7tnhvx
title: Occurrence Download

description: A dataset listing the 0 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (cimitarra)",
 "Geometry POLYGON((-74.043 6.28211,-73.86472 6.25919,-73.74331 6.28211,-73.65417 6.35085,-73.57579 6.43943,-73.61421 6.59671,-73.63112 6.72341,-73.77558 6.90196,-74.08911 6.70051,-74.07681 6.58602,-74.043 6.28211))"
 ]
 }
 ]
}

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008465-251120083545085/datasets/export for details.
DOI: 10.5066/p9fnrrn0
title: Puerto Rico shoreline change: A GIS compilation of shorelines, baselines, intersects, and change rates calculated using the Digital Shoreline Analysis system version 5.1 (ver. 2.0, March 2023)

description: The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated products, represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The USGS, in cooperation with the Coastal Research and Planning Institute of Puerto Rico-part of the Graduate School of Planning at the University of Puerto Rico, Rio Piedras Campus-has derived and compiled a database of historical shoreline positions using a variety of methods. These historical shoreline data are then used to measure the rate of shoreline change over time. Rate calculations are computed within a geographic information system (GIS) using the DSAS version 5.1 software. Starting from a user defined baseline, measurement transects are created by DSAS that intersect the shoreline vectors. The resulting intersections provide the location and time information necessary to calculate rates of shoreline change.
DOI: 10.15468/dl.vdxjuh
title: Occurrence Download

description: A dataset containing 192987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Streptopelia decaocto",
 "Year 2007-2025"
 ]
}

 The dataset includes 192987 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008450-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48670/mds-00376
title: Mediterranean Sea Waves Reanalysis
DOI: 10.15468/dl.79x654
title: Occurrence Download

description: A dataset containing 1757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlorestes julie",
 "Year 2000-2025"
 ]
}

 The dataset includes 1757 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008478-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h83kdn
title: Occurrence Download

description: A dataset containing 1659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bertholletia excelsa"
 ]
}

 The dataset includes 1659 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008479-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7vccn
title: Occurrence Download

description: A dataset containing 3220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marrubium vulgare",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 3220 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008480-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.