cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bnxnq8
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.2539390000000026 41.5667558000000028, -87.2539390000000026 41.5675420700000018, -87.2539390000000026 41.5686912199999981, -87.2539390000000026 41.5700823099999965, -87.2539390000000026 41.5711105000000032, -87.2539390000000026 41.5719572499999970, -87.2539390000000026 41.5728039999999979, -87.2527296500000062 41.5728039999999979, -87.2515807799999976 41.5728039999999979, -87.2507342399999999 41.5728039999999979, -87.2494644399999970 41.5728039999999979, -87.2477109000000013 41.5728039999999979, -87.2468643699999973 41.5728039999999979, -87.2457759600000031 41.5728039999999979, -87.2446270899999945 41.5728039999999979, -87.2428735600000067 41.5728039999999979, -87.2411200199999968 41.5728039999999979, -87.2402129999999971 41.5728039999999979, -87.2402129999999971 41.5721386999999964, -87.2402129999999971 41.5705661699999993, -87.2402129999999971 41.5695379699999989, -87.2402129999999971 41.5679654400000018, -87.2402129999999971 41.5667558000000028, -87.2413618799999995 41.5667558000000028, -87.2425712200000021 41.5667558000000028, -87.2440224300000011 41.5667558000000028, -87.2449294299999991 41.5667558000000028, -87.2461387599999938 41.5667558000000028, -87.2475294999999988 41.5667558000000028, -87.2491621100000003 41.5667558000000028, -87.2500086400000043 41.5667558000000028, -87.2513993799999952 41.5667558000000028, -87.2524273100000016 41.5667558000000028, -87.2539390000000026 41.5667558000000028))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 69 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098932-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.152530
title: TÔD_nu_2003_00791

description: Référence : nu_2003_00791<br />Site : Tôd<br />Secteur : Premier vestibule du pronaos (Temple de Montou); Temple de Montou<br />Type : photographie<br />
DOI: 10.15468/dl.2nkmgn
title: Occurrence Download

description: A dataset containing 303863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus caesius L.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is False",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is less than 180",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 303863 records from 1115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009240-230810091245214/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.27092098.v1
title: Relaxant response parameters of aorta to Acetylcholine in the presence of potassium channel blockers

description: The tables show the relaxant response parameters (Emin, Emax, EC50, and pD2) of the aorta to Acetylcholine in the presence of potassium channel blockers (glibenclamide, barium chloride, 4-aminopyridine, and tetraethylammonium). Tissues were treated with cadmium and potassium supplementation.
DOI: 10.15468/dl.ndyqzh
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Excidobates condor Almendáriz, Ron & Brito M., 2012"
 ]
}

 The dataset includes 41 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072079-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cupwam
title: Occurrence Download

description: A dataset containing 2963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Canada"
 ]
}

 The dataset includes 2963 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072080-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10481105
title: WallStreetBets 2022
DOI: 10.15468/dl.x3sg8w
title: Occurrence Download

description: A dataset containing 8177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Material sample)",
 "TaxonKey is Isurus oxyrinchus Rafinesque, 1810"
 ]
}

 The dataset includes 8177 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072081-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13373859
title: WRF files and simulation outputs for "Revisiting the Contributions of Surface Sensible and Latent Heat Fluxes to the Outer Spiral Rainbands of Tropical Cyclones"

description: A subset of outputs of the CTL, NOSH and LH-SH experiments in "Revisiting the Contributions of Surface Sensible and Latent Heat Fluxes to the Outer Spiral Rainbands of Tropical Cyclones".  The model code, initial condition files, and namelist settings are in wrf.tar.gz.
DOI: 10.5281/zenodo.13373860
title: Supplementary materials for the manuscript "Revisiting the Contributions of Surface Sensible and Latent Heat Fluxes to the Outer Spiral Rainbands of Tropical Cyclones"

description: A subset of outputs of the CTL, NOSH and LH-SH experiments in "Revisiting the Contributions of Surface Sensible and Latent Heat Fluxes to the Outer Spiral Rainbands of Tropical Cyclones".
DOI: 10.5281/zenodo.13667389
title: WRF files and simulation outputs for "Revisiting the Contributions of Surface Sensible and Latent Heat Fluxes to the Outer Spiral Rainbands of Tropical Cyclones"

description: A subset of outputs of the CTL, NOSH and LH-SH experiments in "Revisiting the Contributions of Surface Sensible and Latent Heat Fluxes to the Outer Spiral Rainbands of Tropical Cyclones".  The model code, initial condition files, and namelist settings are in wrf.tar.gz.
DOI: 10.25493/rsp9-y76
title: Anterograde tract-tracing dataset for the Population Integrator pipeline (v1)

description: This dataset contains whole section images from 6 mouse brains in which very small injections of an anterograde tracer (biotynilated dextran amine, BDA) were performed in the Ventral Posterior Medial nucleus of the thalamus (VPM). The sections were 50 μm-thick, sectioned at a coronal angle, and imaged at a 100 μm interval, with one out of every two sections being captured. The section background was stained for cytochrome oxidase activity to better visualize area, layer and nuclei borders. One injection was performed on each hemisphere; since the thalamocortical projection is exclusively ipsilateral, each hemisphere can be considered an independent experiment. The labeled axonal projections are visible in the somatosensory cortices as sharply-delineated dark fibers. This repository serves as an example input dataset for the [Population Integrator pipeline](https://github.com/ntimonid/Population_Integrator), a Jupyter notebook that generates cortical flatmaps and other types of visualizations for experiments that have been registered to the Allen Mouse Brain Common Coordinate Framework (CCF) using the QUINT workflow. The Population Integrator pipeline is a helpful resource for the registration and analysis of mouse brain section images. The example data can be of useful to both experimentalists and computational modelers interested in the connectivity between thalamus and cortex.
DOI: 10.25493/xyms-4bk
title: Anterogradely labeled axonal projections from the Ventral Posterior complex of the mouse thalamus (v1)

description: This dataset consists of a collection of 52 mouse brains in which small injections of an anterograde tracer (biotynilated dextran amine, BDA) were performed in the Ventral Posterior complex of the thalamus (VP). The sections were 50 μm thick, sectioned at a coronal angle, and imaged at 100 μm intervals, with one out of every two sections being captured. The section background was stained for cytochrome oxidase activity to better visualize area, layer, and nuclei borders. One injection was performed on each hemisphere; since the thalamocortical projection is exclusively ipsilateral, each hemisphere can be considered an independent experiment. The labeled axonal projections are visible in the somatosensory cortices as sharply-delineated dark fibers. Each experiment is paired with a cortical flatmap that illustrates the distribution of thalamic axons within the cortex. This dataset showcases diverse, subnucleus-specific projection patterns from a first-order thalamic complex to primary and secondary cortical regions, making it a valuable resource for experimentalists studying the somatosensory system.
DOI: 10.15468/dl.z7ed7d
title: Occurrence Download

description: A dataset containing 17831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.20847 36.40522,-5.56696 36.80921,-6.36667 36.78713,-6.11848 35.82603,-4.98787 36.02143,-5.20847 36.40522))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 17831 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072085-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwnqhw
title: Occurrence Download

description: A dataset containing 10514 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Mamíferos del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-M)"
 ]
}

 The dataset includes 10514 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072086-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.804720
title: Table 2. Zircon Hf-O data of the porphyries from the Duolong porphyry Cu-Au deposit in the Bangongco copper belt, central Tibet
DOI: 10.1594/pangaea.786673
title: (Table 1) Organic carbon and radiogenic isotopes analysis of DSDP Hole 22-218 sediments

description: Modern erosion of the Himalaya, the world's largest mountain range, transfers huge dissolved and particulate loads to the ocean. It plays an important role in the long-term global carbon cycle, mostly through enhanced organic carbon burial in the Bengal Fan. To understand the role of past Himalayan erosion, the influence of changing climate and tectonic on erosion must be determined. Here we use a 12 Myr sedimentary record from the distal Bengal Fan (Deep Sea Drilling Project Site 218) to reconstruct the Mio-Pliocene history of Himalayan erosion. We use carbon stable isotopes (d13C) of bulk organic matter as paleo-environmental proxy and stratigraphic tool. Multi-isotopic - Sr, Nd and Os - data are used as proxies for the source of the sediments deposited in the Bengal Fan over time. d13C values of bulk organic matter shift dramatically towards less depleted values, revealing the widespread Late Miocene (ca. 7.4 Ma) expansion of C4 plants in the basin. Sr, Nd and Os isotopic compositions indicate a rather stable erosion pattern in the Himalaya range during the past 12 Myr. This supports the existence of a strong connection between the southern Tibetan plateau and the Bengal Fan. The tectonic evolution of the Himalaya range and Southern Tibet seems to have been unable to produce large re-organisation of the drainage system. Moreover, our data do not suggest a rapid change of the altitude of the southern Tibetan plateau during the past 12 Myr. Variations in Sr and Nd isotopic compositions around the late Miocene expansion of C4 plants are suggestive of a relative increase in the erosion of High Himalaya Crystalline rock (i.e. a simultaneous reduction of both Transhimalayan batholiths and Lesser Himalaya relative contributions). This could be related to an increase in aridity as suggested by the ecological and sedimentological changes at that time. A reversed trend in Sr and Nd isotopic compositions is observed at the Plio-Pleistocene transition that is likely related to higher precipitation and the development of glaciers in the Himalaya. These almost synchronous moderate changes in erosion pattern and climate changes during the late Miocene and at the Plio-Pleistocene transition support the notion of a dominant control of climate on Himalayan erosion during this time period. However, stable erosion regime during the Pleistocene is suggestive of a limited influence of the glacier development on Himalayan erosion.
description: Sediment depth is given in mbsf. 143Nd/144Nd ratios were normalised using a ratio of 0.511855 for La Jolla standard. 87Sr/86Sr ratios were normalised using a ratio of 0.710250 for NBS987.
description: Supplement to: Galy, Valier; France-Lanord, Christian; Peucker-Ehrenbrink, Bernhard; Huyghe, Pascale (2010): Sr-Nd-Os evidence for a stable erosion regime in the Himalaya during the past 12 Myr. Earth and Planetary Science Letters, 290(3-4), 474-480
DOI: 10.1594/pangaea.904647
title: (Table A6) Monazite U-Th-Pb analyses in the Barrovian metamorphic sequence
DOI: 10.1594/pangaea.385652
title: Radionuclides from sediment trap Polar_Front_3
DOI: 10.1594/pangaea.710928
title: (Table 1) Helium concentration in bulk and leached pelagic clays from DSDP Hole 91-596B

description: The total volumes of acids used in all cases were 50 ml.
DOI: 10.1594/pangaea.723612
title: (Table 2a) Isotopic composition of He, Ne, Ar and Kr of pillow lava from CYAMEX samples
DOI: 10.1594/pangaea.786516
title: (Table 2) Osmium isotope ratios and Re-Os element content for cleaned and uncleande foraminifera of ODP Hole 121-758A

description: Sediment depth is given in mcd.
DOI: 10.1594/pangaea.706920
title: (Table 1) Step-heating degassing data for argon-39 in volcanic rock from DSDP Hole 58-446A
DOI: 10.1594/pangaea.920912
title: In situ beryllium 10 in detrital sediment in Luquillo, Puerto Rico, after Hurricane Maria

description: *9Be was added through a carrier made at University of Vermont with a concentration of 304 μg mL-1. **Isotopic analysis was conducted at PRIME Laboratory; ratios were normalized against standard 07KNSTD3110 with an assumed ratio of 2850 x 10-15 (Nishiizumi et al., 2007).For background correction, see blanks measurements (doi:10.1594/PANGAEA.920943).
DOI: 10.5281/zenodo.13887763
title: Spotting Giant Sea Bass Project

description: All giant sea bass encounters submitted to Spotting Giant Sea Bass up to December 31, 2023.

Overview:The Spotting Giant Sea Bass Project was established in 2016 by researchers at the University of California, Santa Barbara, to collect community-sourced photos of giant sea bass, Stereolepis gigas, primarily from the recreational diving community. These images are then used to identify individual giant sea bass by analyzing their unique spot patterns through machine learning algorithms. The active dataset comprises encounters dating from 1997 through 2023, ranging from Half Moon Bay to the U.S.-Mexico border, with the vast majority of encounters occurring within the Southern California Bight. This dataset is updated annually.

Contents:Each submitted encounter contains metadata for further analysis. Information that was not required upon submission is noted as optional and may be missing from some encounters.

Marked Individual: The identification name of the individual giant sea bass encountered. If there is no ID, the encounter was unidentifiable.Year Collected: The year the individual was encountered.Month Collected: The month the individual was encountered.Day Collected: The day the individual was encountered.Time of Day: The hour and minute of the encounter. If blank, the submitter did not include this detail (optional).Location ID: The aggregated name of a given dive site. If no name is provided, it indicates an uncommon dive site not included in the drop-down list when submitting an encounter on the website.Locality: The name of the location where the individual was encountered (optional).Longitude: The longitude coordinates of the encounter.Latitude: The latitude coordinates of the encounter.Encounter Depth: The depth at which the encounter occurred (optional).Behavior: The reported behavior of the individual during the encounter (optional).Life Stage: The life stage of the individual.Notes: Any additional information provided by the submitter about the encounter (optional).Keywords: Various image keywords added by researchers during the identification process (e.g., right side image, left side image, fin split, hook).Catalog Number: A unique identifier assigned to each encounter.

Funding:This project is funded by the Benioff Ocean Science Laboratory and the Aquarium of the Pacific.

Contact:Molly Morse serves as the contact person for this living dataset.
DOI: 10.5281/zenodo.13887764
title: Spotting Giant Sea Bass Project

description: All giant sea bass encounters submitted to Spotting Giant Sea Bass up to December 31, 2023.

Overview:The Spotting Giant Sea Bass Project was established in 2016 by researchers at the University of California, Santa Barbara, to collect community-sourced photos of giant sea bass, Stereolepis gigas, primarily from the recreational diving community. These images are then used to identify individual giant sea bass by analyzing their unique spot patterns through machine learning algorithms. The active dataset comprises encounters dating from 1997 through 2023, ranging from Half Moon Bay to the U.S.-Mexico border, with the vast majority of encounters occurring within the Southern California Bight. This dataset is updated annually.

Contents:Each submitted encounter contains metadata for further analysis. Information that was not required upon submission is noted as optional and may be missing from some encounters.

Marked Individual: The identification name of the individual giant sea bass encountered. If there is no ID, the encounter was unidentifiable.Year Collected: The year the individual was encountered.Month Collected: The month the individual was encountered.Day Collected: The day the individual was encountered.Time of Day: The hour and minute of the encounter. If blank, the submitter did not include this detail (optional).Location ID: The aggregated name of a given dive site. If no name is provided, it indicates an uncommon dive site not included in the drop-down list when submitting an encounter on the website.Locality: The name of the location where the individual was encountered (optional).Longitude: The longitude coordinates of the encounter.Latitude: The latitude coordinates of the encounter.Encounter Depth: The depth at which the encounter occurred (optional).Behavior: The reported behavior of the individual during the encounter (optional).Life Stage: The life stage of the individual.Notes: Any additional information provided by the submitter about the encounter (optional).Keywords: Various image keywords added by researchers during the identification process (e.g., right side image, left side image, fin split, hook).Catalog Number: A unique identifier assigned to each encounter.

Funding:This project is funded by the Benioff Ocean Science Laboratory and the Aquarium of the Pacific.

Contact:Molly Morse serves as the contact person for this living dataset.
DOI: 10.1594/pangaea.920943
title: Blanks measured for calculations of beryllium 10
DOI: 10.1594/pangaea.767479
title: Hafnium isotope composition of zircons in ODP Hole 188-1166A upper level sample
DOI: 10.1594/pangaea.920919
title: Meteoric beryllium 10 in detrital sediment in Luquillo, Puerto Rico, after Hurricane Maria

description: *9Be was added through a carrier made at University of Vermont with a concentration of 304 μg mL-1. **Isotopic analysis was conducted at PRIME Laboratory; ratios were normalized against standard 07KNSTD3110 with an assumed ratio of 2850 x 10-15 (Nishiizumi et al., 2007).For background correction, see blanks measurements (doi:10.1594/PANGAEA.920943).
DOI: 10.1594/pangaea.920940
title: Meteoric beryllium 10 in soil pits in Luquillo, Puerto Rico, after Hurricane Maria

description: *9Be was added through SPEX ICP standard with a concentration of 1000 ppm. **Isotopic analysis was conducted at PRIME Laboratory; ratios were normalized against standard 07KNSTD3110 with an assumed ratio of 2850 x 10-15 (Nishiizumi et al., 2007).For background correction, see blanks measurements (doi:10.1594/PANGAEA.920943).
DOI: 10.1594/pangaea.910543
title: Sample preparation and laboratory measurement values for coarse-grain meteoric Beryllium 10 concentrations before and after Hurricane Maria in Dominica and the percent difference between the two time periods

description: Comments:1) “Coarse-grain” refers to sediment grain size 250-850 μm.2) July 2017 refers to samples collected before Hurricane Maria and January 2018 refers to samples collected after Hurricane Maria.3) Samples were measured at Lawrence Livermore National Laboratory. Ratios were normalized against standard 07KNSTD3110 with an assumed ratio of 2.85 x 10^12 (Nishiizumi et al., 2007).4) Measured ratios were corrected for backgrounds using the average of blanks and 1SD: 6.61 ± 0.70 x 10^-15 (average ± 1SD). See doi:10.1594/PANGAEA.918099.5) Percent difference equals (after-hurricane measurement – before-hurricane measurement)/((after-hurricane measurement + before-hurricane measurement)/2)*100.
DOI: 10.1594/pangaea.910550
title: Sample preparation and laboratory measurement values for in-situ meteoric Beryllium 10 concentrations before and after Hurricane Maria in Dominica and the percent difference between the two time periods

description: Comments:1) July 2017 refers to samples collected before Hurricane Maria and January 2018 refers to samples collected after Hurricane Maria.2) 2017 samples were measured at Lawrence Livermore National Laboratory and 2018 samples were measured at Purdue Rare Isotope Measurement (PRIME) Laboratory. Ratios from both laboratories were normalized against standard 07KNSTD3110 with an assumed ratio of 2.85 x 10^v12 (Nishiizumi et al., 2007).3) Samples were corrected for backgrounds using 5 blanks (2017 set) and 2 blanks (2018 set) that were processed and analyzed along with the samples. We corrected samples ratios by subtracting the average ratio of the blanks (2017: 6.39 x 10^-16 and 2018: 3.88 x 10^-16). Because the agreement between the blanks was unrealistically close (STDEV = 1.26 x 10^-16 (2017) and 0.10 x 10^-16 (2018), we used a blank uncertainty based on the best possible statistical precision based on the number of 10Be counts (2017: 1.51 x 10^-16 and 2018: 1.37 x 10^-16). Sample uncertainties and blank uncertainties were propagated in quadrature. See doi:10.1594/PANGAEA.918099.4) Percent difference equals (after-hurricane measurement – before-hurricane measurement)/((after-hurricane measurement + before-hurricane measurement)/2)*100.
DOI: 10.1594/pangaea.908154
title: Protactinium, thorium, uranium and opal of sediment core KNR140-12JPC
DOI: 10.1594/pangaea.706537
title: (Table 3) Isotopic composition of rocks from ODP Hole 135-835B
DOI: 10.1594/pangaea.711301
title: (Table 3) Concentrations and isotopic ratios of thorium and uranium in sediments at ODP Site 177-1094
DOI: 10.1594/pangaea.707809
title: (Table 2) Element concentrations of Re, Os, organic and inorganic C, and isotopic composition of Os and Pb of sediment core SI_1034A