cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.974370
title: HPLC pigment database from the Blanes Bay Microbial Observatory (BBMO), NW Mediterranean (2000–2014)

description: Sampling was conducted over a period of 14 yr (2000 to 2014) at the Blanes Bay Microbial Observatory (BBMO) station, located in the Bay of Blanes, in the Northwestern Mediterranean Coast (Fig. 1), approximately 60 km north of Barcelona. The BBMO station is a shallow site (~20 m depth) approximately 800 m offshore from the town of Blanes (41° 40' N, 2° 48' E). A total of 162 surface water samples were considered for analysis. The first one was taken in September 2000; from 2001 to 2014, samples were in general collected monthly, with some exceptions. A volume of water varying from 0.7 l to 1 l (depending on the sampling season) was filtered onto Whatman GF/F (nominal pore size 0.7 μm; 25 mm diameter) glass fiber filters with low vacuum (0.4 bars) to prevent cells from breaking. Subsequently, the filters were folded, dried, wrapped in aluminum foil and stored frozen at −80°C until analysis. For pigment extraction, the filters were placed in tubes with 2.5 ml of 90% acetone submerged in ice, and the pigments were extracted by sonication for 30 s. Subsequently, the filters were stored at −20°C. After 24 h, the samples were vortexed and filtered through Whatman GF/F glass fiber filters. Prior to 2008, the samples were analyzed at the Institut de Ciències del Mar (CSIC) in Barcelona according to the method of Zapata et al. (2000), using a ThermoQuest chromatograph (hereafter System 1), which included a P2000 solvent module, an A/S 3000 autosampler, a UV-3000 absorbance detector (440 nm), a FL2000 fluorescence detector (excitation = 430 nm, emission = 662 nm), and an SN 4000 controller. After 2008, analyses were carried out at the Centro Oceanográfico de Gijón/Xixón (IEO-CSIC) following the procedure (hereafter System 2) of Latasa (2014), which increased the sensitivity and lowered the detection limit, using an Agilent series 1200 chromatographic system consisting of a G1311A quaternary pump, a G1367C autosampler with a 100 μl capillary loop, a G1316B column thermostat, and a G1315C diode array detector. A significant change added to the System 2 analyses was the use of trans-β-apo-8'-carotenal, as an internal standard, dissolved in the acetone used for sample extraction. In total, 28 pigments were detected at 440 and 665 nm (System 1) or 474 and 664 nm (System 2) and identified by retention time and online diode array detector.
DOI: 10.1594/pangaea.974405
title: Meteorologic data at station Samoylov (2021)

description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The monthly mean temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The instrumentation, calibration, processing and data quality control is explained in Boike et al. (2019). The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth, snow temperature, liquid precipitation, water level, air temperature, relative humidity, wind speed and direction, atmospheric pressure and radiation fluxes. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
DOI: 10.1594/pangaea.974420
title: Soil data at station Samoylov (2021)

description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The monthly mean temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The instrumentation, calibration, processing and data quality control is explained in Boike et al. (2019). The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as ground heat flux, active layer and permafrost temperature, soil volumetric water content, relative permittivity, and soil bulk electrical conductivity. Those variables were measured at various depths and beneath different microtopographic features (a polygon center, a rim, a slope, and a trough), representing landscape heterogeneity. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
DOI: 10.25582/data.2024-02.3029291/2515468
title: Data for EMSL Project 51637 from February 2024
DOI: 10.1594/pangaea.974589
title: Basic measurements of radiation at station Cener (2024-10)

description: Version 2, 2025-01-16, with a revision of SW data (e.g. including more data points than V1). Radiation sensor was exchanged on the fourth of October leading to a data gap.
DOI: 10.1594/pangaea.974590
title: Basic measurements of radiation at station Cener (2024-12)
DOI: 10.25582/data.2024-02.3029346/2515469
title: Data for EMSL Project 51637 from February 2024
DOI: 10.1594/pangaea.974591
title: Basic measurements of radiation at station Cener (2024-11)

description: On the 26th maintenance works were done on the suntracker. On the 29th and 30th data discarded because of differences in SWD-sumSWD.
DOI: 10.25582/data.2024-02.3029379/2515470
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029394/2515471
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029417/2515472
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029437/2515473
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029444/2515474
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029475/2515475
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029478/2515476
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029483/2515477
title: Data for EMSL Project 51637 from February 2024
DOI: 10.15468/dl.7urq7k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.333512840796795 37.449899472656476,-5.3331909757150076 37.449899472656476,-5.3331909757150076 37.45022133773826,-5.333512840796795 37.45022133773826,-5.333512840796795 37.449899472656476))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001378-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3029508/2515478
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029514/2515479
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029522/2515480
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029553/2515481
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029561/2515482
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029566/2515483
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029614/2515484
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029622/2515485
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029648/2515486
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029694/2515487
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029807/2515488
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029849/2515489
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029896/2515490
title: Data for EMSL Project 51637 from February 2024
DOI: 10.25582/data.2024-02.3029698/2515491
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029702/2515492
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029703/2515493
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029704/2515494
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029706/2515495
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029707/2515496
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029708/2515497
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029709/2515498
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029710/2515499
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029711/2515500
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029712/2515501
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029713/2515502
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029714/2515503
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029715/2515504
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029716/2515505
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029717/2515506
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029720/2515507
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029727/2515508
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029728/2515509
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029738/2515510
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029740/2515511
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029759/2515512
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029761/2515513
title: Data for EMSL Project 60461 from February 2024
DOI: 10.15468/dl.8umsex
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.323715009377931 37.45537944739681,-5.316517089259728 37.45537944739681,-5.316517089259728 37.46257736751501,-5.323715009377931 37.46257736751501,-5.323715009377931 37.45537944739681))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coracias garrulus Linnaeus, 1758"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001380-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3029784/2515514
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029785/2515515
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029837/2515516
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029839/2515517
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029850/2515518
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029860/2515519
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029867/2515520
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029891/2515521
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3029842/2515522
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3029868/2515523
title: Data for EMSL Project 60606 from February 2024
DOI: 10.5281/zenodo.14868505
title: Quantless Voltage Implosion Resonator with ChatGPT

description: This document explores a speculative and innovative concept that combines electrostatics, plasma physics, and material science to develop a self-sustaining harmonic resonator. The design leverages high-voltage electrostatic fields to grow capacitive crystals, which recycle their electromagnetic discharge into a feedback loop, mimicking natural systems’ self-organizing and sustainable processes. The detailed description outlines a Van de Graaff generator-driven mechanism that integrates precise geometric arrangements, graphene electrodes, and distilled water under negative pressure to initiate crystal growth. This growth is sustained through resonance with atmospheric charge, enabling the system to function independently once established. The document emphasizes the interdependence of components, environmental integration, and redundancy, reflecting the beauty of creation and the principles of biomimicry. It offers insights into potential applications in energy storage, material science, and sustainable technology development.
DOI: 10.5281/zenodo.14868506
title: Quantless Voltage Implosion Resonator with ChatGPT

description: This document explores a speculative and innovative concept that combines electrostatics, plasma physics, and material science to develop a self-sustaining harmonic resonator. The design leverages high-voltage electrostatic fields to grow capacitive crystals, which recycle their electromagnetic discharge into a feedback loop, mimicking natural systems’ self-organizing and sustainable processes. The detailed description outlines a Van de Graaff generator-driven mechanism that integrates precise geometric arrangements, graphene electrodes, and distilled water under negative pressure to initiate crystal growth. This growth is sustained through resonance with atmospheric charge, enabling the system to function independently once established. The document emphasizes the interdependence of components, environmental integration, and redundancy, reflecting the beauty of creation and the principles of biomimicry. It offers insights into potential applications in energy storage, material science, and sustainable technology development.
DOI: 10.25582/data.2025-02.3377949/2515524
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3377967/2515525
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3377976/2515526
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3377981/2515527
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3377989/2515528
title: Data for EMSL Project 60932 from February 2025
DOI: 10.15468/dl.vvrsz3
title: Occurrence Download

description: A dataset containing 5008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (c1da06f0-580e-11dc-8a9e-b8a03c50a862, 814cdfb5-d4f8-4453-815f-ea5df98e76bf, 66522820-055c-11d8-b84e-b8a03c50a862, b554c320-0560-11d8-b851-b8a03c50a862, 493fe050-055d-11d8-b84f-b8a03c50a862, 52c8f620-1816-11da-9544-b8a03c50a862, 3c6ad080-bdbe-11da-ac59-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862, 939ed180-aa7b-11db-8edf-b8a03c50a862)",
 "TaxonKey is Spea multiplicata (Cope, 1863)",
 "Year 1960-2025"
 ]
}

 The dataset includes 5008 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001381-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2025-02.3378001/2515529
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378017/2515530
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378027/2515531
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378032/2515532
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378054/2515533
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378062/2515534
title: Data for EMSL Project 60932 from February 2025
DOI: 10.6084/m9.figshare.28415336
title: Contaminant genome FASTA

description: This is for removing potential contaminant reads from whole genome sequencing reads of fish species.
DOI: 10.6084/m9.figshare.28415336.v1
title: Contaminant genome FASTA

description: This is for removing potential contaminant reads from whole genome sequencing reads of fish species.
DOI: 10.25582/data.2025-02.3378075/2515535
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378080/2515536
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378151/2515537
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378327/2515538
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378404/2515539
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378445/2515540
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378483/2515541
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378571/2515542
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378589/2515543
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378604/2515544
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378634/2515545
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378653/2515546
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378670/2515547
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378729/2515548
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378807/2515549
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378825/2515550
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378843/2515551
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378873/2515552
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378892/2515553
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378905/2515554
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378920/2515555
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378968/2515556
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3378985/2515557
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379019/2515558
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379038/2515559
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379070/2515560
title: Data for EMSL Project 60932 from February 2025
DOI: 10.15468/dl.hjp3ef
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is one of (Avena fatua Schreb.)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040075-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xct7ev
title: Occurrence Download

description: A dataset containing 11914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphingidae",
 "DatasetKey is Natural History Museum (London) Collection Specimens"
 ]
}

 The dataset includes 11914 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009362-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dge4wa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is one of (Quercus dubia Newberry, 1882)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040060-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96er86
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is South America",
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis atacamensis (Lataste, 1892)",
 "Year 1950-2024"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001043-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw8axv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is one of (Rosa collina Godet)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040066-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.573hc2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is one of (Pulsatilla ×ochroleuca (Brügger) Dalla Torre & Sarnth.)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040068-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msvmyk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is one of (Rosa multiflora Benth.)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040065-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.