cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3334/cdiac/otg.vos_benguela_stream_2013
title: Partial pressure (or fugacity) of carbon dioxide, dissolved inorganic carbon, pH, alkalinity, salinity and other variables collected from Surface underway observations using Carbon dioxide (CO2) gas analyzer and other instruments from Benguela Stream in the Caribbean Sea, English Channel and North Atlantic Ocean from 2013-09-18 to 2014-01-05 (NCEI Accession 0157352)

description: This dataset includes Surface underway, biological, chemical, meteorological, optical and physical data collected from Benguela Stream in the Caribbean Sea, English Channel and North Atlantic Ocean from 2013-09-18 to 2014-01-05. These data include AIR-SEA DIFFERENCE - PARTIAL PRESSURE (OR FUGACITY) OF CARBON DIOXIDE, BAROMETRIC PRESSURE, CHLOROPHYLL, DISSOLVED INORGANIC CARBON (DIC), DISSOLVED OXYGEN, FLUORESCENCE, NITRATE, NITRITE, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY, SEA SURFACE TEMPERATURE, TOTAL ALKALINITY (TA), WIND DIRECTION, WIND SPEED, pH, phosphate and silicate. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

These data were collected by Andrew J. Watson, Steve D. Jones, and Ute Schuster of University of Exeter as part of the VOS_Benguela_Stream_642B20130918, VOS_Benguela_Stream_642B20131016, VOS_Benguela_Stream_642B20131130 and VOS_Benguela_Stream_642B20131228 dataset. CDIAC associated the following cruise ID(s) with this dataset: 642B20130918, 642B20131016, 642B20131130 and 642B20131228
DOI: 10.60893/figshare.apm.30102370
title: Supplementary Information

description: Supplementary Information
DOI: 10.60893/figshare.apm.30102370.v1
title: Supplementary Information

description: Supplementary Information
DOI: 10.3334/cdiac/otg.soccom_06aq20141202_uw
title: Partial pressure (or fugacity) of carbon dioxide, salinity and other variables collected from Surface underway observations using Carbon dioxide (CO2) gas analyzer and other instruments from POLARSTERN in the South Atlantic Ocean and Southern Oceans from 2014-12-02 to 2015-02-01 (NCEI Accession 0157372)

description: This dataset includes Surface underway, chemical, meteorological and physical data collected from POLARSTERN in the South Atlantic Ocean and Southern Oceans (&gt; 60 degrees South) from 2014-12-02 to 2015-02-01. These data include BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY, SEA SURFACE TEMPERATURE, WIND DIRECTION and WIND SPEED. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

These data were collected by Mario Hoppema and Olaf Boebel of Alfred Wegener Institute for Polar and Marine Research (AWI) and Steven M. A. C. van Heuven of Groningen University as part of the SOCCOM_06AQ20141202_UW dataset. CDIAC associated the following cruise ID(s) with this dataset: 06AQ20141202
DOI: 10.13140/rg.2.2.13473.47205
title: Reproducible for RH
DOI: 10.5065/d6g44nnj
title: Navigation, State Parameter, and Microphysics Low Rate (LRT - 1 sps) Flight-Level Data. Version 1.0

description: The PACIFIC ATMOSPHERIC SULFUR EXPERIMENT is a comprehensive study of the chemistry of sulfur in the remote marine troposphere. Aircraft were based on Christmas Island in the Pacific Ocean from 3 August through 09 September 2007. The NSF/NCAR C-130 was used to carry the chemistry payload. This dataset contains netcdf LRT data.
DOI: 10.21942/uva.25650978
title: Data and script for "Tracking data as an alternative to resighting data for inferring population ranges"

description: This Figshare entry contains data and code for "Tracking data as an alternative to resighting data for inferring population ranges"."Linssen_2024_JBiogeo_data.RData" provides the necessary data and one custom function, and can be opened directly into the R environment."Linssen_2024_JBiogeo_metadata.json" contains metadata information on the data tables included in the RData file."Linssen_2024_JBiogeo_script.R" provides the script which can be run, once the data is loaded, to reproduce the results.<br><br><br>---<br>"rings.csv", "rings_resightingrate.csv", "tracks.csv" and "tracks_resightingrate" are the .csv versions of the data tables in "Linssen_2024_JBiogeo_data.RData".These files are not needed to run the analysis (as the .RData file already includes them), but they are included to ensure long-term reproducibility across platforms.
DOI: 10.21942/uva.25650978.v3
title: Data and script for "Tracking data as an alternative to resighting data for inferring population ranges"

description: This Figshare entry contains data and code for "Tracking data as an alternative to resighting data for inferring population ranges"."Linssen_2024_JBiogeo_data.RData" provides the necessary data and one custom function, and can be opened directly into the R environment."Linssen_2024_JBiogeo_metadata.json" contains metadata information on the data tables included in the RData file."Linssen_2024_JBiogeo_script.R" provides the script which can be run, once the data is loaded, to reproduce the results.<br><br><br>---<br>"rings.csv", "rings_resightingrate.csv", "tracks.csv" and "tracks_resightingrate" are the .csv versions of the data tables in "Linssen_2024_JBiogeo_data.RData".These files are not needed to run the analysis (as the .RData file already includes them), but they are included to ensure long-term reproducibility across platforms.
DOI: 10.21942/uva.25650978.v2
title: Data and script for "Tracking data as an alternative to resighting data for inferring population ranges"

description: README file for data and code belonging to Linssen et al 2024 J Biogeo, Tracking data as an alternative to resighting data for inferring population ranges.<br>The RData file "Linssen_2024_JBiogeo_data.RData" contains all R objects needed to be able to run the code for the analysis:- rings: a data table with resighting records, used for winter range estimation. These data have been pre-processed and cleaned as described in the manuscript.- tracks: a data table with GPS tracking records, used for winter range estimation. These data have been pre-processed and cleaned as described in the manuscript.- repmeta: an table summarizing the model repeats, each one defined by the data type (resightings or tracks) and a specific number of birds used (and thereby also a specific number of records used). MCPs, KDEs and ESDMs are fitted for each model repeat (see manuscript).- sdm_covs: a rasterbrick with the covariate layers for the ESDMs.- rings_resightingrate: a data table with resighting records, used to empirically determine the resighting rate. Slightly different from the resighting records used for the range estimation, since only resightings of GPS-tracking neck collars that looked similar to normal, traditional neck collars, are used here.- tracks_resightingrate: a data table with GPS tracking records, used to empirically determine the resighting rate. Slightly different from the GPS tracking records used for the range estimation, since only the GPS-tracking neck collars that looked similar to normal, traditional neck collars, are used here.<br>The R file "Linssen_2024_JBiogeo_script.R" contains the code needed to run the analysis. The code can be ran from top to bottom.<br><br>---<br>"rings.csv", "rings_resightingrate.csv", "tracks.csv" and "tracks_resightingrate" are the .csv versions of the data tables in "Linssen_2024_JBiogeo_data.RData".These files are not needed to run the analysis (as the .RData file already includes them), but they are included to ensure long-term reproducibility across platforms.
DOI: 10.15468/dl.34pytw
title: Occurrence Download

description: A dataset containing 5879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((-180 -25,180 -25,180 25,-180 25,-180 -25))",
 "OccurrenceStatus is Present",
 "TaxonKey is Theobroma cacao"
 ]
}

 The dataset includes 5879 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036244-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.36122.71365
title: 1-s2.0-S0141813025067327-mmc1.docx
DOI: 10.13140/rg.2.2.17248.34566
title: 1-s2.0-S0010482525005141-mmc1.xlsx
DOI: 10.13140/rg.2.2.30670.11846
title: 1-s2.0-S0141813025028958-mmc1.docx
DOI: 10.13140/rg.2.2.13892.90248
title: 1-s2.0-S0141813025028958-mmc2.xlsx
DOI: 10.13140/rg.2.2.27314.67529
title: Code Files
DOI: 10.13140/rg.2.2.20603.78884
title: Supplementary Data Sheets
DOI: 10.13140/rg.2.2.34025.56164
title: Integrative analysis discovers Imidurea as dual multitargeted inhibitor of CD69, CD40, SHP2, lysozyme, GATA3, cCBL, and S-cysteinase from SARS-CoV-2 and M. tuberculosis (Supplementary Manuscript)
DOI: 10.13140/rg.2.2.25636.95361
title: Integrative analysis discovers Imidurea as dual multitargeted inhibitor of CD69, CD40, SHP2, lysozyme, GATA3, cCBL, and S-cysteinase from SARS-CoV-2 and M. tuberculosis (Supplementary Tables)
DOI: 10.13140/rg.2.2.18926.06725
title: tbsd_a_2021993_sm7439.rar
DOI: 10.3334/cdiac/otg.hist_c14_obs
title: Historical Global observations of oceanic radiocarbon conducted prior to GEOSECS (NCEI Accession 0157456)

description: This dataset contains historical measurements of radiocarbon in oceanic dissolved inorganic carbon (map of the measurement locations). The measurements were compiled and digitized from published articles (Bien et al. 1960, 1965; Broecker et al. 1960; Fairhall and Young 1985; and Linick 1978). The data compilation contains roughly 1500 observations over the period 1955-1974. Samples were collected at the ocean surface and at various depths in the ocean interior. All of the major ocean basins are represented. The methodology involved large-volume sampling of seawater that was acidified to release CO2. The collected CO2 was analyzed for the 14C/C ratio by counting techniques at the SIO, LDEO or University of Washington laboratories. The measurements are reported as Δ14C, which includes a correction for mass dependent fractionation using measurements of δ13C in the CO2 samples. When measurements of δ13C were not available, estimates of δ13C were used to calculate Δ14C. Further details are available in the original publications. In some samples from Broecker et al. (1960), isotopic fractionation occurred while sampling. Δ14C is not affected by fractionation, due to the δ13C correction, but the reported δ13C in these cases is not representative of oceanic δ13C. We omit δ13C measurements on samples assumed to have experienced fractionation (δ13C less than -2.8 per mil or greater than +2.8 per mil), though we caution that some of the retained δ13C data from Broecker et al. (1960) may not be reliable. In some samples from Fairhall and Young (1985), a date range rather than a single date was given for the sample date. We use the midpoint of the date range for these samples. Linick (1978) updates Δ14C measurements previously reported by Bien et al. (1960; 1965), among others. We use the Δ14C data of Linick (1978) for these samples, filling in temperature and salinity data from Bien et al. (1960; 1965) that was missing in Linick (1978). Observations of dissolved inorganic carbon concentration from Fairhall and Young (1985) were converted from mM to µmol/kg by assuming constant density of 1.025 kg/l. The datafile contains 14 columns: Cruise Name, Sample Identification Number, Latitude, Longitude, Date, Depth (m), Temperature (°C), Salinity, Δ14C (/mille), Δ14C uncertainty (/mille), δ13C (/mille), δ13C uncertainty (/mille), Dissolved Inorganic Carbon concentration (µmol/kg), Source. Missing data is denoted with values of -999.
DOI: 10.13140/rg.2.2.15570.62406
title: GEOMETRIC JACKET. 3D MODEL. DESIGN PATENT RU103247. VIDEO
DOI: 10.13140/rg.2.2.28992.39680
title: tbsd_a_2209673_sm3296.docx
DOI: 10.13140/rg.2.2.22281.51041
title: WOOL JACKET. 3D MODEL. DESIGN PATENT RU107820. VIDEO
DOI: 10.13140/rg.2.2.35703.28323
title: JACKET. 3D MODEL. DESIGN PATENT RU114169. VIDEO
DOI: 10.13140/rg.2.2.11376.32003
title: ASYMMETRIC JACKET. 3D MODEL. DESIGN PATENT RU112666. VIDEO
DOI: 10.13140/rg.2.2.24798.09287
title: CHECKERED JACKET. 3D MODEL. DESIGN PATENT RU106987. VIDEO
DOI: 10.13140/rg.2.2.31508.97922
title: TWEED COAT. 3D MODEL. DESIGN PATENT RU103248. VIDEO
DOI: 10.13140/rg.2.2.14731.76322
title: LEATHER JACKET. 3D MODEL. DESIGN PATENT RU114266. VIDEO
DOI: 10.13140/rg.2.2.28153.53603
title: CHECKERED COAT. 3D MODEL. DESIGN PATENT RU 139004. VIDEO
DOI: 10.5065/d6bc3wxt
title: Flight Tracks. Version 1.0

description: KML is a file format used to display geographic data in an Earth browser such as Google Earth. This dataset contains KML files used to display the C130 flight track in real-time during the ICE-L project. Both LRT and HRT files are included in this dataset.
DOI: 10.13140/rg.2.2.21442.64968
title: EMBROIDERED JACKET. 3D MODEL. DESIGN PATENT RU 130580. VIDEO
DOI: 10.13140/rg.2.2.34864.42249
title: JACKET WITH HOOD. 3D MODEL. DESIGN PATENT RU114267. VIDEO
DOI: 10.3334/cdiac/otg.coastal_gomecc2
title: Partial pressure (or fugacity) of carbon dioxide, dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from NOAA Ship RONALD H. BROWN in the Gray's Reef National Marine Sanctuary, Gulf of Mexico and North Atlantic Ocean from 2012-07-21 to 2012-08-13 (NCEI Accession 0157619)

description: This dataset includes biological, chemical, discrete sample, optical, physical and profile data collected from NOAA Ship RONALD H. BROWN in the Gray's Reef National Marine Sanctuary, Gulf of Mexico and North Atlantic Ocean from 2012-07-21 to 2012-08-13. These data include ABSORPTION - SCATTERING - ATTENUATION COEFFICIENTS, CARBON - CARBONATE, CHLOROPHYLL, CHLOROPHYLL A, Calcium, Chromophoric Dissolved Organic Matter (CDOM), DISSOLVED INORGANIC CARBON (DIC), DISSOLVED ORGANIC CARBON, DISSOLVED ORGANIC MATTER, DISSOLVED OXYGEN, Deoxyribonucleic acid (DNA), HYDROSTATIC PRESSURE, NITRATE, NITRITE, PHAEOPHYTIN, PIGMENTS, Partial pressure (or fugacity) of carbon dioxide - water, Potential temperature (theta), SALINITY, SEA SURFACE TEMPERATURE, SIGMA-THETA, TOTAL ALKALINITY (TA), Total Organic Carbon (TOC), WATER TEMPERATURE, diatom, nitrate + nitrite content (concentration), pH, phosphate, silicate and suspended solids. The instruments used to collect these data include CTD and bottle.

These data were collected by Jia-Zhong Zhang, Molly O. Baringer, and Rik Wanninkhof of NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Wei-Jun Cai of University of Delaware, and Robert H. Byrne of University of South Florida (USF) as part of the Coastal_GOMECC2 dataset. CDIAC associated the following cruise ID(s) with this dataset: Coastal_GOMECC2

The Global Coastal Carbon Data Project data includes the bottle (discrete) and surface (underway) carbon-related measurements from coastal research cruises, the data from time series cruises and coastal moorings. The coastal regions data are very important for the understanding of carbon cycle on the continental margins.
DOI: 10.5281/zenodo.14832406
title: High-throughput spheroid-based assay for functional breast cancer precision medicine facilitated by deep learning

description: This repository contains



The fine-tuned models for segmentation of spheroids using micro-sam

Training data (images and segmentations) that are used for training the models


The code to produce the models can be found at https://github.com/maartenpaul/spheroidAnalysis
DOI: 10.25921/5tqf-7n65
title: Global compilation of Carbon-13 measurements during 1990-2005 in dissolved inorganic carbon (d13C_DIC) (NCEI Accession 0157698)

description: This dataset includes global compilation of Carbon-13 measurements during 1990-2005 in dissolved inorganic carbon (d13C_DIC). These data include dissolved inorganic carbon (d13C_DIC) water temperature, phosphate and silicate. These data were calculated by Andreas Schmittner of Oregon State University; College of Earth, Ocean, and Atmospheric Sciences as part of the Global compilation of Carbon-13 measurements during 1990-2005 in dissolved inorganic carbon (d13C_DIC) data set.
DOI: 10.5281/zenodo.14832405
title: High-throughput spheroid-based assay for functional breast cancer precision medicine facilitated by deep learning

description: This repository contains



The fine-tuned models for segmentation of spheroids using micro-sam

Training data (images and segmentations) that are used for training the models


The code to produce the models can be found at https://github.com/maartenpaul/spheroidAnalysis
DOI: 10.25921/g9ke-7931
title: Global relationships of total alkalinity with salinity and temperature in surface waters of the world's oceans (NCEI Accession 0157795)

description: Surface Total Alkalinity fields were estimated from five regional TA relationships presented in Lee et al. 2006, using monthly mean sea surface temperature and salinity from the World Ocean Atlas 2001. The data file consists of 36 columns, including latitude, longitude, sea surface temperature (SST, Jan-Dec), sea surface salinity (SSS, Jan-Dec), calculated total alkalinity from January through December (TA, Jan-Dec).
DOI: 10.3334/cdiac/otg.vos_benguela_stream_2014
title: Partial pressure (or fugacity) of carbon dioxide, salinity and other variables collected from Surface underway observations using Barometric pressure sensor, Carbon dioxide (CO2) gas analyzer and other instruments from Benguela Stream in the Caribbean Sea, English Channel and North Atlantic Ocean from 2014-04-30 to 2014-12-19 (NCEI Accession 0159093)

description: This dataset includes Surface underway, chemical, meteorological and physical data collected from Benguela Stream in the Caribbean Sea, English Channel and North Atlantic Ocean from 2014-04-30 to 2014-12-19. These data include AIR-SEA DIFFERENCE - PARTIAL PRESSURE (OR FUGACITY) OF CARBON DIOXIDE, BAROMETRIC PRESSURE, DISSOLVED OXYGEN, NITRATE, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY, SEA SURFACE TEMPERATURE, WIND DIRECTION, WIND SPEED, phosphate and silicate. The instruments used to collect these data include Barometric pressure sensor and Carbon dioxide (CO2) gas analyzer.

These data were collected by Andrew J. Watson, Steve D. Jones, and Ute Schuster of University of Exeter as part of the VOS_Benguela_Stream_642B20140430, VOS_Benguela_Stream_642B20140517, VOS_Benguela_Stream_642B20140528, VOS_Benguela_Stream_642B20140614, VOS_Benguela_Stream_642B20141015, VOS_Benguela_Stream_642B20141101, VOS_Benguela_Stream_642B20141112, VOS_Benguela_Stream_642B20141129 and VOS_Benguela_Stream_642B20141210 dataset. CDIAC associated the following cruise ID(s) with this dataset: 642B20140430, 642B20140517, 642B20140528, 642B20140614, 642B20141015, 642B20141101, 642B20141112, 642B20141129 and 642B20141210
DOI: 10.15468/dl.nrz999
title: Occurrence Download

description: A dataset containing 7687670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ericaceae"
 ]
}

 The dataset includes 7687670 records from 3965 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035811-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0195893.10fu
title: SH0195893.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195894.10fu
title: SH0195894.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195895.10fu
title: SH0195895.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.