cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dd4caz
title: Occurrence Download

description: A dataset containing 683018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The System-wide Information Network for Genetic Resources (SINGER)"
 ]
}

 The dataset includes 683018 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038634-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85yick
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Quarrendorfer Landschaftsschutzgebiet"
 ]
}

 The dataset includes 244 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006996-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tu283c
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herpetofauna asociada a la parcela de investigación de la estación Tutunendo, Quibdó, Chocó. 2020"
 ]
}

 The dataset includes 64 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038591-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1ibqvo
title: Occurrence Download

description: A dataset containing 84070 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine and Coastal Management - Linefish Dataset (First Semester of 1988) (AfrOBIS)"
 ]
}

 The dataset includes 84070 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006996-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3chcn
title: Occurrence Download

description: A dataset containing 7532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1199.0",
 "Geometry POLYGON((-149.1929 8.76369,-48.43652 8.76369,-48.43652 66.06889,-149.1929 66.06889,-149.1929 8.76369))",
 "TaxonKey is Cytisus scoparius (L.) Link"
 ]
}

 The dataset includes 7532 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020551-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nblk7d
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnothorax mordax (Ayres, 1859)",
 "DatasetKey is LACM Vertebrate Collection"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006996-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fsjyq
title: Occurrence Download

description: A dataset containing 464910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 464910 records from 480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031573-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndg2mv
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manfreda scabra (Ortega) McVaugh"
 ]
}

 The dataset includes 245 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006997-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6cy59
title: Occurrence Download

description: A dataset containing 30698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "TaxonKey is Eupsittula canicularis (Linnaeus, 1758)"
 ]
}

 The dataset includes 30698 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020530-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q82ecf
title: Occurrence Download

description: A dataset containing 16688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Imperata cylindrica (L.) Raeusch.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16688 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006997-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ev7w7
title: Occurrence Download

description: A dataset containing 689191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 689191 records from 796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038593-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68mdyp
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypselurus hiraii Abe, 1953",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 92 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002048-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/xgmfko
title: Au-SALDI MS spectra of Escherichia coli and Shigella flexneri metabolite extracts

description: Au-SALDI mass spectra of Escherichia coli WDCM 00090 ATCC® 11775™ and Shigella flexneri ATCC® 12022™ metabolite extracts.GENERAL INFORMATIONTitle of Dataset: Au-SALDI MS spectra of Escherichia coli and Shigella flexneri metabolite extractsAuthor/Principal Investigator InformationName: Adrian ArendowskiORCID: 0000-0002-8496-6800Institution: 1 Faculty of Chemistry, Rzeszów University of Technology, Powstańców Warszawy 6, 35-959 Rzeszów, Poland2 Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Wileńska 4, 87-100 Toruń, PolandEmail: a.arendowski@prz.edu.plDate of data collection: from 2024-08-01 to 2024-08-07Geographic location of data collection: PolandKeywords: Escherichia coli; SALDI; mass spectrometry; microorganisms; Shigella flexneri; metabolites; gold nanoparticlesLanguage information: EnglishInformation about funding sources that supported the collection of the data: National Science Center Poland, grant MINIATURA 6; 2022/06/X/NZ6/00226SHARING/ACCESS INFORMATIONLicenses/restrictions placed on the data: CC BYDATA & FILE OVERVIEWFile List:1. Bacterial metabolic fingerprint Au-SALDI MS Bruker files.zip (Folder contains Au-SALDI MS spectral files of metabolite extracts from Escherichia coli ATCC® 11775™ and Shigella flexneri ATCC® 12022™ generated by Bruker ultrafleXtreme MALDI mass spectrometer readable in Bruker FlexAnalysis software).2. Bacterial metabolic fingerprint Au-SALDI MS ASCII files.zip (Folder contains Au-SALDI MS spectral ASCII files of metabolite extracts from Escherichia coli ATCC® 11775™ and Shigella flexneri ATCC® 12022™ generated by Bruker ultrafleXtreme MALDI mass spectrometer in .txt format readable in Notepad).METHODOLOGICAL INFORMATIONDescription of methods used for collection/generation of data: Metabolite extracts from Escherichia coli ATCC® 11775™ and Shigella flexneri ATCC® 12022™ bacteria were prepared according to protocol described by Bligh & Dyer (https://doi.org/10.1139/o59-099). A SALDI target covered with gold nanoparticles was prepared following a method similar to that described by Sekuła et al. (https://doi.org/10.1016/j.aca.2015.01.046).Methods for processing the data: Au-SALDI MS spectra of metabolite extracts were obtained using a laser desorption/ionization time-of-flight mass spectrometer Bruker ultrafleXtreme in positive-ion mode with reflector in range m/z 80-1000.Instrument- or software-specific information needed to interpret the data: Files in the "Bacterial metabolic fingerprint Au-SALDI MS Bruker files.zip" folder can be opened with Bruker flexAnalysis 3.3 or later.Standards and calibration information: Mass calibration was performed using internal standard (gold ions and clusters from Au+ to Au5+) with a quadratic calibration strategy.
DOI: 10.15468/dl.n4mfq4
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 66522820-055c-11d8-b84e-b8a03c50a862",
 "TaxonKey is Laudakia caucasia (Eichwald, 1831)"
 ]
}

 The dataset includes 305 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002050-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up69rv
title: Occurrence Download

description: A dataset listing the 4020117 species recorded in GBIF matching the query:
{ }

 The dataset's 4020117 records were derived from 70694 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002018-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aruypf
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "TaxonKey is Aporrectodea handlirschi (Rosa, 1897)"
 ]
}

 The dataset includes 86 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002052-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4c748u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypselurus opisthopus (Bleeker, 1865)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002053-250127130748423/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.28296119
title: Demand for Consumer Loans in Russia: How Strong is the Interest Rate Channel of Monetary Policy?

description: The booming retail trade and the above target consumer prices’ inflation in 2023-2024 in Russia amid tightening monetary policy stance raise an issue of the strength of the monetary policy interest rate channel. The focus of our paper is the interest rate elasticity (given inflation expectations) of a household’s loan request probability. We argue that a household, not an individual consumer, is the right object for the study. We use unique data on households’ loan applications obtained from the All-Russian Survey of Consumer Finances, which contains information on more than 6000 households in Russia. Actual loan applications cover period of 2020-2022, the survey also contain information on households’ borrowing intentions as of late spring-summer 2022.The interest rate channel of monetary policy with regard to unsecured loans although being statistically significant and working in the right direction, seems not to be economically important. It means that Bank of Russia in its relying on this channel might have to increase the key rate significantly to cool down the consumer demand and bring retail inflation to the target. We find that higher household’s inflation expectations positively correlate with its loan demand.We empirically identify a set of Russian households’ characteristics that are key drivers for households’ requests for credit. Demographics is an important factor of the demand.
DOI: 10.6084/m9.figshare.28296119.v1
title: Demand for Consumer Loans in Russia: How Strong is the Interest Rate Channel of Monetary Policy?

description: The booming retail trade and the above target consumer prices’ inflation in 2023-2024 in Russia amid tightening monetary policy stance raise an issue of the strength of the monetary policy interest rate channel. The focus of our paper is the interest rate elasticity (given inflation expectations) of a household’s loan request probability. We argue that a household, not an individual consumer, is the right object for the study. We use unique data on households’ loan applications obtained from the All-Russian Survey of Consumer Finances, which contains information on more than 6000 households in Russia. Actual loan applications cover period of 2020-2022, the survey also contain information on households’ borrowing intentions as of late spring-summer 2022.The interest rate channel of monetary policy with regard to unsecured loans although being statistically significant and working in the right direction, seems not to be economically important. It means that Bank of Russia in its relying on this channel might have to increase the key rate significantly to cool down the consumer demand and bring retail inflation to the target. We find that higher household’s inflation expectations positively correlate with its loan demand.We empirically identify a set of Russian households’ characteristics that are key drivers for households’ requests for credit. Demographics is an important factor of the demand.
DOI: 10.21335/nmdc-1917885315
title: Marine CO2 system at the Hola cold water coral reef, Vesterålen, Norwegian Sea in 2022 and 2023

description: Marine CO2 system data (total alkalinity, and total dissolved inorganic carbon), and salinity and temperature were collected during three research cruises with RV Kronprins Haakon (KH 2022707 from 8th- 15th June 2022, R/V Kristine Bonnevie 2022617 (3rd July 2022), and KH 2023007005 from 7th- 16th April 2023) focusing on the bottom water at the Hola cold water coral reef. The Hola reef is located on the continental shelf of Vesterålen, near the Lofoten Vesterålen (LoVe) Ocean Observatory and samples were taken from Node 7 and 1.
The seawater samples were collected in 250 ml borosilicate bottles from a CTD-Rosette (24-Niskin bottle) following standard procedures. In addition, bottom water samples were also taken using Niskin bottles attached to the ROV (Aurora) in April 2023. The samples were preserved with 50 µL of saturated mercuric chloride (HgCl2) solution immediately after sampling and stored cool and dark until analysis within 6 months at Institute of Marine Research, Tromsø, Norway. DIC was determined using gas extraction of acidified samples followed by coulometric titration and photometric detection using a Versatile Instrument for the Determination of Titration carbonate (VINDTA 3D, Marianda, Germany). determined by potentiometric titration with 0.1 N hydrochloric acid using a Versatile Instrument for the Determination of Titration Alkalinity (VINDTA 3S, Marianda, Germany). Routine analyses of Certified Reference Materials (CRM, provided by A. G. Dickson, Scripps Institution of Oceanography, United States) ensured the accuracy of the measurements, which was better than ±2 and ±2 µmol kg-1 for DIC and AT, respectively. The remaining carbonate system parameters, including pH on the total scale (pHT) at in situ temperature and pressure, partial pressure of CO2 (pCO2), and the saturation states of calcium carbonate (CaCO3) minerals aragonite (ΩAr) and calcite (ΩCa), were calculated from DIC and TA using the CO2SYS software (Pierrot et al., 2011). The calculations used the thermodynamic constants from Mehrbach et al. (1973) as refitted by Dickson & Millero (1987), and the KHSO4 value from Dickson (1990). The solubility constants for CaCO3 were estimated according to (Mucci, 1983).


This study is funded by the Research Council of Norway EMAN7 (Environmental impact of Methane seepage and sub-seabed characterization at LoVe-Node 7) project number 320100. With additional support from Institute of Marine Research, Norway and the Fram Centre CLEAN program and Ecopulse project.
DOI: 10.15468/dl.2smk69
title: Occurrence Download

description: A dataset containing 1348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desplatsia dewevrei (De Wild. & T.Durand) Burret"
 ]
}

 The dataset includes 1348 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002055-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vgu8q
title: Occurrence Download

description: A dataset containing 2273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dimorphandra mollis Benth."
 ]
}

 The dataset includes 2273 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002058-250127130748423/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/10597544
title: McDonalds Complete USA Locations 2025
DOI: 10.15468/dl.tyk34q
title: Occurrence Download

description: A dataset containing 3445 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dichapetalum madagascariense (Thouars) Poir."
 ]
}

 The dataset includes 3445 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002057-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2q4fqm
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Watasenia scintillans (S.S.Berry, 1911)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 194 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002059-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gmg8s
title: Occurrence Download

description: A dataset containing 66706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((128.6652 37.76604,128.6682 37.76604,128.6682 37.76729,128.6652 37.76729,128.6652 37.76604)),((-11.87182 11.70674,-11.12887 11.70674,-11.12887 12.29338,-11.87182 12.29338,-11.87182 11.70674)),((38.26014 45.6986,38.74084 45.6986,38.74084 45.96819,38.26014 45.96819,38.26014 45.6986)),((2.74696 42.11878,2.78638 42.11878,2.78638 42.14789,2.74696 42.14789,2.74696 42.11878)),((-7.04347 43.48096,-6.98987 43.48096,-6.98987 43.51904,-7.04347 43.51904,-7.04347 43.48096)),((-4.68883 37.47924,-4.67783 37.47924,-4.67783 37.48743,-4.68883 37.48743,-4.68883 37.47924)),((19.55419 48.9653,19.6125 48.9653,19.6125 49.00136,19.55419 49.00136,19.55419 48.9653)),((7.64083 48.34191,7.85939 48.34191,7.85939 48.49147,7.64083 48.49147,7.64083 48.34191)),((13.3584 49.04549,13.475 49.04549,13.475 49.12119,13.3584 49.12119,13.3584 49.04549)),((16.7643 48.75461,16.80237 48.75461,16.80237 48.77873,16.7643 48.77873,16.7643 48.75461)),((73.31682 38.99843,73.65025 38.99843,73.65025 39.16828,73.31682 39.16828,73.31682 38.99843)),((69.9658 40.23117,70.36814 40.23117,70.36814 40.43556,69.9658 40.43556,69.9658 40.23117)),((73.28127 37.35614,73.38544 37.35614,73.38544 37.41053,73.28127 37.41053,73.28127 37.35614)),((14.74277 48.58569,14.89066 48.58569,14.89066 48.68099,14.74277 48.68099,14.74277 48.58569)),((14.11687 46.57248,14.1498 46.57248,14.1498 46.59419,14.11687 46.59419,14.11687 46.57248)),((16.70343 49.39783,16.76325 49.39783,16.76325 49.43551,16.70343 49.43551,16.70343 49.39783)),((13.08766 50.46589,13.24579 50.46589,13.24579 50.56746,13.08766 50.56746,13.08766 50.46589)),((19.7822 46.05536,19.81781 46.05536,19.81781 46.07797,19.7822 46.07797,19.7822 46.05536)),((-55.77428 5.88895,-55.65908 5.88895,-55.65908 5.97772,-55.77428 5.97772,-55.77428 5.88895)),((42.55573 44.44582,43.11221 44.44582,43.11221 44.75433,42.55573 44.75433,42.55573 44.44582)),((37.55742 45.36258,38.04358 45.36258,38.04358 45.63754,37.55742 45.63754,37.55742 45.36258)),((94.01621 72.82679,95.83378 72.82679,95.83378 73.17381,94.01621 73.17381,94.01621 72.82679)),((24.57408 43.66324,24.88911 43.66324,24.88911 43.86071,24.57408 43.86071,24.57408 43.66324)),((21.05312 46.15581,21.24704 46.15581,21.24704 46.27755,21.05312 46.27755,21.05312 46.15581)),((25.82162 55.1791,25.89007 55.1791,25.89007 55.21645,25.82162 55.21645,25.82162 55.1791)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2001-2020"
 ]
}

 The dataset includes 66706 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002054-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/892fcc280725a7659ea1697a262e0e0a
title: Time-series of high-frequency profiles of fluorescence-based phytoplankton spectral groups in Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2014-2024

description: Depth profiles of fluorescence-based phytoplankton biomass were sampled using a bbe Moldaenke FluoroProbe (Schwentinental, Germany) during 2014 to 2024 in five drinking water reservoirs in southwestern Virginia, USA. These reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the town of Pulaski, Virginia. The dataset consists of depth profiles of fluorescence-based phytoplankton biomass measured at the deepest site of each reservoir adjacent to the dam, except in Falling Creek Reservoir, where depth profiles were also taken at four upstream sites ranging from the riverine to the lacustrine zone during 2016-2019 and 2024. Casts were taken approximately weekly from May-October and monthly from November-April. Casts were collected at Beaverdam and Falling Creek Reservoirs during all years (2014-2024); casts were collected at Carvins Cove Reservoir during 2014-2016 and 2018-2023; casts were collected at Spring Hollow Reservoir during 2014-2016 and 2019; and casts were collected at Gatewood Reservoir in 2015-2016.