cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fxg8xr
title: Occurrence Download

description: A dataset containing 62820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chordata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Geometry POLYGON ((-120.2668 34.82019, -120.1432 34.68484, -120.0301 34.61333, -119.8986 34.56829, -119.8515 34.55977, -119.7408 34.49743, -119.607 34.45778, -119.4654 34.44798, -119.3255 34.46868, -119.251 34.49342, -119.1467 34.43474, -119.0133 34.3944, -118.8719 34.38387, -118.732 34.40384, -118.6029 34.45298, -118.4934 34.52799, -118.4109 34.62381, -118.3808 34.67988, -118.278 34.7507, -118.195 34.84634, -118.1447 34.95639, -118.1306 35.07338, -118.1673 35.26602, -118.1704 35.29585, -118.1639 35.41325, -118.1948 35.52803, -118.2612 35.63232, -118.3587 35.71898, -118.4806 35.78203, -118.6186 35.81712, -118.667 35.82202, -118.6813 36.03752, -118.7489 36.19644, -118.8297 36.29408, -118.9393 36.37141, -119.0701 36.42309, -119.2132 36.44553, -119.3859 36.43766, -119.5259 36.40495, -119.6504 36.34402, -119.7379 36.28321, -119.8757 36.29752, -120.02 36.28225, -120.1007 36.2592, -120.0584 36.35964, -120.047 36.47673, -120.0637 36.60773, -120.06 36.72513, -120.076 36.85609, -120.1251 36.96675, -120.2085 37.0634, -120.3206 37.13942, -120.3459 37.15165, -120.4821 37.19611, -120.6282 37.21076, -120.7741 37.19457, -120.8952 37.15503, -121.036 37.15629, -121.1787 37.12755, -121.307 37.07017, -121.4121 36.98812, -121.4869 36.88707, -121.5262 36.77396, -121.5436 36.65304, -121.5222 36.53686, -121.4643 36.42907, -121.3739 36.33697, -121.3132 36.29298, -121.2421 36.19052, -121.1408 36.10633, -120.9503 36.01422, -120.811 35.98191, -120.61 35.97881, -120.4693 36.00688, -120.3773 36.04097, -120.419 35.9404, -120.4298 35.82324, -120.4028 35.70781, -120.3755 35.65326, -120.4494 35.56312, -120.4968 35.45215, -120.5074 35.33494, -120.4805 35.21949, -120.4181 35.11364, -120.3408 35.03704, -120.3219 34.92867, -120.2668 34.82019))"
 ]
}

 The dataset includes 62820 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010556-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18454051
title: GRASP: Modeling Transcript Spot Graph Representations for Analyzing Subcellular Localization Patterns and Cell Clustering in High-Resolution Spatial Transcriptomics
DOI: 10.5281/zenodo.18454050
title: GRASP: Modeling Transcript Spot Graph Representations for Analyzing Subcellular Localization Patterns and Cell Clustering in High-Resolution Spatial Transcriptomics
DOI: 10.7944/w3ht01
title: Tabular Dataset: A BIOENERGETIC MODEL USED TO EVALUATE MANAGEMENT STRATEGIES FOR WINTERING WATERFOWL AT SEQUOYAH NATIONAL WILDLIFE REFUGE, VIAN, OKLAHOMA

description: A primary focus of Sequoyah National Wildlife Refuge (SNWR) is to provide habitat and foraging opportunities for waterfowl and other wetland dependent species. SNWR currently meets this objective by providing wetland and agricultural habitat. Wetland restoration and enhancement projects have occurred in recent years, with the intent to sustain healthier and more diverse waterfowl and wildlife populations. However, the relationship between habitat and food availability relative to waterfowl presence has yet to be quantified. This information is necessary to determine how SNWR can best manage refuge habitats for wintering waterfowl populations to ensure the available foraging resources on the refuge or within the surrounding landscape are sufficient to meet the energetic demands of waterfowl populations. Specifically, our goal was determine current carrying capacity for wintering waterfowl provided by SNWR relative to the surrounding landscape within the foraging flight distance of focal species: mallard, gadwall, and snow geese. Models included in this study emphasized efficient land use and maximization of resources within the SNWR refuge boundary in consideration of food resources available with the FFD of wintering waterfowl (e.g. Johnson et al. 2014). Specifically, we calculated the current energetic carrying capacity within Sequoyah and the surrounding FFD to determine to contributions of on-refuge agriculture relative to native wetland habitat types. We then determined the energetic effects of reductions in the area farmed on the refuge, changes to crop type and proportion (i.e., green browse versus standing grain) planted on the refuge, changes to the timing and proportion of standing crops mowed during the winter period, and hypothetical reductions in crop yield that could result from implementation of National Wildlife Refuge System policy eliminating the use of neonicotinoid coated and/or genetically modified seeds. To offset energetic losses associated with reductions or changes to on-refuge agricultural production, we determined the energetic gains associated with the creation of one passive and one actively managed wetland. Our model outcomes can be used to guide land management and restoration decisions and be incorporated into Habitat Management and Comprehensive Conservation Plans.
DOI: 10.5281/zenodo.18476054
title: MAGMA results of PDFuzz
DOI: 10.25345/c5f18sv0n
title: MassIVE MSV000100705 - Solvent-supplemented cultures of Rhodococcus erythropolis
title: The database consists of HPLC-QTOF-HRMS/MS analyses of extracts from various liquid cultures of Rhodococcus erythropolis. The bacteria were cultured in King's B broth and in two supplemented versions, one with 5% DMSO and the other with 5% DMSO. Three independent experiments were performed with the King's B broth, and two experiments were performed with each supplemented version. The cultures were incubated for 3 days at 28 degrees Celsius with shaking at 200 rpm. Afterward, each culture was centrifuged at 5000 rpm, and the aqueous phase was extracted by liquid-liquid partitioning using hexane, ethyl acetate, and n-butanol sequentially. Additionally, a precipitate was obtained from the methanol-supplemented culture medium. Each extract was analyzed twice using LC-MS. A solvent blank analysis is also included. Dataset license: CC BY-NC-ND 4.0
DOI: 10.1594/pangaea.905685
title: Carbon dioxide fluxes under experimental prolonged dark conditions in Red Sea seagrass sediments
DOI: 10.1594/pangaea.948235
title: Track of Lagrangian drifter 55 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948245
title: Track of Lagrangian drifter 66 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948248
title: Track of Lagrangian drifter 69 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948243
title: Track of Lagrangian drifter 63 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948249
title: Track of Lagrangian drifter 71 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948251
title: Track of Lagrangian drifter 73 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948244
title: Track of Lagrangian drifter 64 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948247
title: Track of Lagrangian drifter 68 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948226
title: Track of Lagrangian drifter 47 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948233
title: Track of Lagrangian drifter 54 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948241
title: Track of Lagrangian drifter 61 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948246
title: Track of Lagrangian drifter 67 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948240
title: Track of Lagrangian drifter 60 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948242
title: Track of Lagrangian drifter 62 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.905683
title: Methane fluxes under experimental temperature conditions in Red Sea seagrass sediments
DOI: 10.1594/pangaea.948231
title: Track of Lagrangian drifter 52 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948236
title: Track of Lagrangian drifter 56 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948239
title: Track of Lagrangian drifter 59 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948227
title: Track of Lagrangian drifter 48 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948232
title: Track of Lagrangian drifter 53 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948219
title: Track of Lagrangian drifter 40 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948250
title: Track of Lagrangian drifter 72 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948220
title: Track of Lagrangian drifter 41 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948221
title: Track of Lagrangian drifter 42 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948217
title: Track of Lagrangian drifter 38 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948222
title: Track of Lagrangian drifter 43 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948223
title: Track of Lagrangian drifter 44 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948224
title: Track of Lagrangian drifter 45 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948208
title: Track of Lagrangian drifter 31 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948212
title: Track of Lagrangian drifter 33 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948211
title: Track of Lagrangian drifter 32 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948213
title: Track of Lagrangian drifter 34 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948207
title: Track of Lagrangian drifter 30 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948214
title: Track of Lagrangian drifter 35 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948229
title: Track of Lagrangian drifter 50 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948252
title: Track of Lagrangian drifter 74 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948228
title: Track of Lagrangian drifter 49 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.948237
title: Track of Lagrangian drifter 57 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.939824
title: Meteorological data Weißseespitze/Austria, 2017-10-31 to 2018-09-30
DOI: 10.1594/pangaea.948238
title: Track of Lagrangian drifter 58 during the Mission Microbiomes with the RV Tara along the eastern coast of Brazil
DOI: 10.1594/pangaea.882338
title: Track of GPS-Drifter from HEINCKE cruise HE496, Drifter 3
DOI: 10.1594/pangaea.965870
title: Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-305 deployed in German Bight during MOSES 2023

description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
DOI: 10.1594/pangaea.882324
title: Track of GPS-Drifter from HEINCKE cruise HE490, Drifter 1
DOI: 10.1594/pangaea.965702
title: Radar-derived Surface Current Fields along RV METEOR cruise track M158

description: The dataset contains near surface current fields observed between September 28, 2019, and October 22, 2019. Currents were derived from radar data acquired with a Hereon X-band marine radar (Horstmann et al., 2021). The radar was deployed on the research vessel Meteor during the research cruise M158 for the TRIATLAS project. The provided data reflects the eastward (u) and northward (v) component of the near surface current vector. The effective depth of the retrieved currents depends on the waves present (longer waves feel the current at greater depth). Here, the current data corresponds approximately to a depth between 2 m and 10 m.
DOI: 10.1594/pangaea.966827
title: Aquarium monitoring during an ex-situ experiment with the cold-water coral Desmophyllum dianthus in the Azores

description: We conducted a medium-term (4 months) multiple stressor experiment with the cold-water coral Desmophyllum dianthus under future environmental conditions (IPCC RCP 8.5 scenarios for 2100), and sediment plumes generated during the potential extraction of seafloor massive sulphides. The experiment followed a two-step approach, where during the first 3 months, corals were exposed to four different treatments combining predicted scenarios of ocean acidification (pCO2/pH) and food availability. Two levels of pCO2 conditions were considered: natural habitat present day conditions (~500 µatm, 720 m depth) and IPCC RCP8.5 scenario (1000 µatm; IPCC, 2019), corresponding to pHT values of 7.93 and 7.66, respectively. In addition, two food availability regimes were recreated: high frequency of feeding (food delivered twice a day / 7 days a week) and low frequency of feeding (food delivered every other day). There were six replicate 13 L aquaria per treatment (4 D. dianthus per aquaria) at a temperature of 10.5 ± 0.1 ºC. During the fourth month of the experiment, suspended polymetallic sulphide particles generated during potential mining activities were added to half of the aquaria under the climate change scenarios at a concentration of 10 mg.L-1, making 8 treatments in a fully crossed experimental design for the 3 factors tested (OA, food, mining particles). Seawater physical-chemical parameters were measured daily in each aquarium. Temperature and pH were measured manually in each aquaria using a Mettler-Toledo Seven2Go pH /Ion meter S8, salinity was measured with a S30 SevenEasyTM conductivity meter, oxygen concentration was measured with a Fibox4 (PreSens) with a Oxygen Dipping Probe DP-PSt3.
DOI: 10.1594/pangaea.965871
title: Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-309 deployed in German Bight during MOSES 2023

description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
DOI: 10.1594/pangaea.965872
title: Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-310 deployed in German Bight during MOSES 2023

description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
DOI: 10.1594/pangaea.965873
title: Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-312 deployed in German Bight during MOSES 2023

description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
DOI: 10.1594/pangaea.965874
title: Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-316 deployed in German Bight during MOSES 2023

description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
DOI: 10.1594/pangaea.965701
title: Surface Drifter Data on the Elbe estuary: Positions of Lagrangian Hereon Drifter D-304 deployed in German Bight during MOSES 2023

description: The MOSES Elbe 2023 experiment aims at following a water mass from the spring of the Elbe River in the Czech Republic, through the freshwater and tidal sections of the river, into the North Sea, where three ships (Mya II, Littorina, and Ludwig Prandtl) were used covering the marine environment in the German Bight (Sternfahrt 10). In order to follow the water mass from the Elbe estuary numerical simulations were performed to determine the likelihood of a variety of starting points for a drifter release experiment. At the first morning of the cruise model forecasts were used to determine the exact locations where drifters were to be released. The drifters were initially released in groups of three drifters and then supplemented at a later point of time. During the following two and a half weeks, the current drifter positions were revisited from the ships involved to take water samples.
DOI: 10.1594/pangaea.966829
title: Growth rates of the cold-water coral Desmophyllum dianthus during an ex-situ experiment in the Azores

description: We conducted a medium-term (4 months) multiple stressor experiment with the cold-water coral Desmophyllum dianthus under future environmental conditions (IPCC RCP 8.5 scenarios for 2100), and sediment plumes generated during the potential extraction of seafloor massive sulphides. The experiment followed a two-step approach, where during the first 3 months, corals were exposed to four different treatments combining predicted scenarios of ocean acidification (pCO2/pH) and food availability. Two levels of pCO2 conditions were considered: natural habitat present day conditions (~500 µatm, 720 m depth) and IPCC RCP8.5 scenario (1000 µatm; IPCC, 2019), corresponding to pHT values of 7.93 and 7.66, respectively. In addition, two food availability regimes were recreated: high frequency of feeding (food delivered twice a day / 7 days a week) and low frequency of feeding (food delivered every other day). There were six replicate 13 L aquaria per treatment (4 D. dianthus per aquaria) at a temperature of 10.5 ± 0.1 ºC. During the fourth month of the experiment, suspended polymetallic sulphide particles generated during potential mining activities were added to half of the aquaria under the climate change scenarios at a concentration of 10 mg/l, making 8 treatments in a fully crossed experimental design for the 3 factors tested (OA, food, mining particles). Growth rates were measured using the buoyant weighing technique (Jokiel et al. 1978), using a balance (Mettler-Toledo ME204T) with a precision of 0.1 mg. Corals were weighed twice during the experiment: 1-2 weeks after the start of the experiment and just before the second phase of the experiment with PMS addition, which corresponded to a time interval of 63-71 days.
DOI: 10.1594/pangaea.716675
title: Diatom assamblage in samples from sediment trap NBP96-04A_MS5_trap

description: Numbers represent the calculated diatom flux as recorded by the mooring, and the individual species counts. The diatom flux [#/m**2/day] was calculated using two different methods in parallel, the dilution technique by Sanceta & Silvestri, 1984 (doi:10.1016/0377-8398(84)90016-1) and Batterbee, 1973 (doi:10.4319/lo.1973.18.4.0647).
DOI: 10.1594/pangaea.892836
title: Plant indices in grassland plots undergoing different fertilization regimes in Central Portugal from March to June 2016