cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h7nhvk
title: Occurrence Download

description: A dataset containing 5150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dianthus seguieri Vill.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 5150 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239136-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmbpmu
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pontosphaera huxleyi, Coccolithus huxleyi (Lohmann) Kamptner et al., Emiliania huxleyi (Lohmann) Hay & Mohler, 1967, Gephyrocapsa huxleyi (Lohmann, 1902) Reinhart, 1972, Gephyrocapsa oceanica Kamptner)",
 "Depth is greater than or equal to 1000m"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097994-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/b565-nc7s
title: Measurement of Heavy metals at Virolahti III

description: Measurement of Heavy metals at Virolahti III
DOI: 10.48597/3tyd-3zju
title: Measurement of Heavy metals at Virolahti III

description: Measurement of Heavy metals at Virolahti III
DOI: 10.15468/2evj4z
title: Total foraminifera counts of multinet M6/7_MSN91
DOI: 10.15468/dl.d54ubw
title: Occurrence Download

description: A dataset containing 4368 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "Country is United States of America",
 "Geometry POLYGON((-79.33125 37.17748,-75.2597 37.17748,-75.2597 39.79825,-79.33125 39.79825,-79.33125 37.17748))",
 "HasGeospatialIssue is false",
 "TaxonKey is Channa argus (Cantor, 1842)",
 "Year 2004-2022"
 ]
}

 The dataset includes 4368 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305882-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/49cb-9n99
title: Measurement of Heavy metals at Virolahti III

description: Measurement of Heavy metals at Virolahti III
DOI: 10.15468/dl.q2d54n
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bomarea bracteolata Gereau"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097986-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/je9q-ybuk
title: Measurement of Heavy metals at Virolahti III

description: Measurement of Heavy metals at Virolahti III
DOI: 10.15468/dl.ejy7cm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microhyla darevskii Poyarkov, Vassilieva, Orlov, Galoyan, Tran, Le, Kretova & Geissler, 2014"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295935-210914110416597/datasets/export for details.
DOI: 10.48597/9xrf-2cxt
title: Measurement of Heavy metals at Virolahti III

description: Measurement of Heavy metals at Virolahti III
DOI: 10.15468/gbblof
title: Pacific Reef Assessment and Monitoring Program: Rapid Ecological Assessments of Fish Large-Area Stationary Point Count Surveys (SPC) at Coral Reef Sites across the Pacific Ocean from 2000 to 2007

description: The large-area stationary point count (SPC) method was used to conduct reef fish surveys in the Hawaiian and Mariana Archipelagos, American Samoa, and the Pacific Remote Island Areas as part of NOAA's Pacific Reef Assessment and Monitoring Program (Pacific RAMP). The SPC method catalogs the diversity (species richness), abundance (numeric density) and biomass (fish mass per unit area) of diurnally active reef fish assemblages in shallow-water (typically 10-15m, always &lt; 30m) hard-bottom habitats. Stationary Point Counts (SPC) is one of several non-invasive underwater-survey methods to enumerate the diverse components of diurnally active shallow-water reef fish assemblages. At each REA survey sites, SPC fish surveys were conducted at 4 stations in conjunction with, but at least 10 m away from 3 consecutively-placed, 25m transect lines to quantify relatively larger (&gt;25 cm Total Length [TL]) and more vagile fish species(BLT). All fishes &gt;25 cm TL are recorded to species-level that enter a 20 m diameter cylinder (area ~314 m2) during a timed 5 minute count. Individuals or groups are estimated to the nearest 5 cm TL size-class bin. Four replicate, 5 minute cylinder counts are conducted at each station. Care is taken to avoid over-counting large transient or schooling species. Transects lines and stations are typically set at depths of 10-15 m. Reef ledges and holes are visually searched. Stations are completed on all sides of the island/atoll, weather and sea conditions permitting. Raw survey data included species level abundance estimates.
DOI: 10.48597/f5ve-23a4
title: Measurement of Heavy metals at Virolahti III

description: Measurement of Heavy metals at Virolahti III
DOI: 10.48597/kz43-js8k
title: Measurement of Heavy metals at Virolahti III

description: Measurement of Heavy metals at Virolahti III
DOI: 10.15468/ngnqbw
title: Abundance, biovolume and biomass of heterotrophic dinoflagellates at station TT011_12-CTD147
DOI: 10.48597/cbeh-u7fs
title: Measurement of Heavy metals at Virolahti III

description: Measurement of Heavy metals at Virolahti III
DOI: 10.15468/dl.wkd5x4
title: Occurrence Download

description: A dataset containing 26267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brachythecium albicans (Hedw.) Schimp., Brachythecium geheebii Milde, Brachythecium laetum (Brid.) Schimp.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 26267 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0313184-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/fwbciecgluahju-ubrhxmosba-m/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1B/2C14H15N5.CHF3O3S.2Ag/c2*1-2-3-6-11-10-19(18-17-11)14-9-15-12-7-4-5-8-13(12)16-14;2-1(3,4)8(5,6)7;;/h2*4-5,7-10H,2-3,6H2,1H3;(H,5,6,7);;/q;;;2*+1/p-1/z200-1-48

description: dataset for infrared absorption spectroscopy (IR)
 
 IR (ATR, ṽ) = 3160 (vw), 3082 (vw), 2953 (w), 2931 (w), 2868 (vw), 1565 (w), 1504 (vs), 1477 (w), 1449 (m), 1370 (w), 1265 (vs), 1235 (s), 1224 (s), 1197 (w), 1147 (vs), 1051 (m), 1030 (vs), 1017 (m), 1004 (vs), 958 (m), 928 (w), 817 (w), 766 (vs), 674 (w), 636 (vs), 591 (m), 571 (w), 516 (m), 418 (m), 398 (w) cm–1.
DOI: 10.14272/fwbciecgluahju-ubrhxmosba-m/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1B/2C14H15N5.CHF3O3S.2Ag/c2*1-2-3-6-11-10-19(18-17-11)14-9-15-12-7-4-5-8-13(12)16-14;2-1(3,4)8(5,6)7;;/h2*4-5,7-10H,2-3,6H2,1H3;(H,5,6,7);;/q;;;2*+1/p-1/z200-1-48

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (400 MHz, DCM-d2 [5.32 ppm], ppm) δ = 9.98 (s, 2H, NCH), 8.64 (s, 2H, CHtriazole), 8.34–8.29 (m, 2H, CHar), 8.15–8.10 (m, 2H, CHar), 7.94–7.87 (m, 4H, CHar), 2.95 (t, 3J = 7.7 Hz, 4H, CqCH2), 1.79 (p, 3J = 7.5 Hz, 4H, CH2CH2), 1.46 (h, 3J = 7.4 Hz, 4H, CH2CH3), 0.97 (t, 3J = 7.3 Hz, 6H, CH3).
DOI: 10.14272/fwbciecgluahju-ubrhxmosba-m/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1B/2C14H15N5.CHF3O3S.2Ag/c2*1-2-3-6-11-10-19(18-17-11)14-9-15-12-7-4-5-8-13(12)16-14;2-1(3,4)8(5,6)7;;/h2*4-5,7-10H,2-3,6H2,1H3;(H,5,6,7);;/q;;;2*+1/p-1/z200-1-48

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (100 MHz, DCM-d2 [54.0 ppm], ppm) δ = 150.8 (2C, Cq), 143.5 (2C, Cq), 142.7 (2C, Cq), 140.8 (2C, Cq), 138.6 (2C, CHN), 132.5 (2C, CHar), 131.4 (2C, CHar), 130.1 (2C, CHar), 129.4 (2C, CHar), 119.6 (2C, CHtriazole), 31.8 (2C, CH2CH2), 26.1 (2C, CqCH2), 22.8 (2C, CH2CH3), 14.1 (2C, CH3). Missing signal (1C, CF3) due to C-F coupling and resulting low intensity.
DOI: 10.14272/fwbciecgluahju-ubrhxmosba-m/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) ()
title: InChI=1B/2C14H15N5.CHF3O3S.2Ag/c2*1-2-3-6-11-10-19(18-17-11)14-9-15-12-7-4-5-8-13(12)16-14;2-1(3,4)8(5,6)7;;/h2*4-5,7-10H,2-3,6H2,1H3;(H,5,6,7);;/q;;;2*+1/p-1/z200-1-48

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.15468/dl.f79tnn
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates omiltemanus (Günther, 1900)"
 ]
}

 The dataset includes 121 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305883-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/fwbciecgluahju-ubrhxmosba-m/chmo0000159
title: single crystal X-ray diffraction (single-crystal X-ray diffraction) ()
title: InChI=1B/2C14H15N5.CHF3O3S.2Ag/c2*1-2-3-6-11-10-19(18-17-11)14-9-15-12-7-4-5-8-13(12)16-14;2-1(3,4)8(5,6)7;;/h2*4-5,7-10H,2-3,6H2,1H3;(H,5,6,7);;/q;;;2*+1/p-1/z200-1-48

description: dataset for single crystal X-ray diffraction (single-crystal X-ray diffraction)
 
 Single crystals suitable for X-Ray analysis were obtained by slow evaporation of methanol from a solution with the metal complex under ambient pressure.Crystal Data for C29H30AgF3N10O3S (M =763.56 g/mol): monoclinic, space group P21/n (no. 14), a = 14.1441(4) Å, b = 15.5702(4) Å, c = 15.1099(4) Å, β = 111.231(2)°, V = 3101.75(15) Å3, Z = 4, T = 150 K, μ(GaKα) = 4.281 mm-1, Dcalc = 1.635 g/cm3, 32166 reflections measured (7.364° ≤ 2Θ ≤ 124.964°), 7415 unique (Rint = 0.0200, Rsigma = 0.0133) which were used in all calculations. The final R1 was 0.0285 (I &gt; 2σ(I)) and wR2 was 0.0745 (all data).
DOI: 10.14272/fwbciecgluahju-ubrhxmosba-m/chmo0000597
title: 19F nuclear magnetic resonance spectroscopy (19F NMR) ()
title: InChI=1B/2C14H15N5.CHF3O3S.2Ag/c2*1-2-3-6-11-10-19(18-17-11)14-9-15-12-7-4-5-8-13(12)16-14;2-1(3,4)8(5,6)7;;/h2*4-5,7-10H,2-3,6H2,1H3;(H,5,6,7);;/q;;;2*+1/p-1/z200-1-48

description: dataset for 19F nuclear magnetic resonance spectroscopy (19F NMR)
 
 19F NMR (376 MHz, DCM-d2, ppm) δ = -78.3.
DOI: 10.5281/zenodo.11084688
title: Distributed predictive QoS in presence of network- and mobility-related drifts

description: The datasets represent a dynamic environment, where several client-vehicles are moving in an urban area. Each client runs a streaming cloud service constantly receiving data packets. Network simulation is performed using Simu5G, a library that emulates a 5G cellular environment in OMNeT++. The simulator's radio parameters are set according to the Macro-cell model proposed by International Telecommunication Union. The map comprises of an urban 600x600 square meters area located in a suburb of a European capital. Inside this area four 5G base-stations (gNodeBs) have been installed by the national network operator, enabling four 5G cells. This area, divided into several blocks by the actual road network is integrated in our simulation by an OpenStreetMap (OSM) instance. The total number of included vehicles is set to 25, according to vehicle density statistics in the corresponding country. The road network's traffic is simulated by SUMO that creates a digitized version of the (real-world) OSM map and produces the route files for the vehicles. Route files are loaded in the Simu5G simulator, where a network-vehicular mobility co-simulation takes place. For each vehicle's route we assume SUMO's default parameters for urban environment: exponential speed model (with maximum speed restriction as defined by the OSM traffic rules) and the probability matrix at intersections for {lane keeping, turn left and right} as {0.5, 0.25 and 0.25}, respectively. The following information is collected for each vehicle using OMNeT++'s monitoring service: timestamp, channel quality indicator, packet delay, measured signal to noise ratio (SNR), client position (x,y,z), client velocity (x,y,z), received SNR, radio link control throughput, serving cell, client throughput. These features are sampled at 1 Hz and comprise the values of our synthetic time-series QoS dataset. 

We have created two drift datasets that correspond to complementary cases of major long-term changes in the considered environment: 1) a network infrastructure-driven scenario (Sc1) and 2) a human behavior-driven scenario (Sc2). In Sc1 we assume that two out of four gNodeBs are switched off under a cost-reduction on/off policy or an infrastructure-share strategy (adopted by MNOs) that would imply such changes. For Sc2 we modify the users' mobility pattern; we assume that a "hotspot" e.g., a metro station is created in the lower-right edge of the map resulting in a traffic increase to that area. This is achieved by increasing the probabilities of the routes leading to the "hotspot" in SUMO's route planning. All generated datasets have a total duration of 20 hrs (simulation time) and the respective drift event is introduced at t=10 hrs.
DOI: 10.5281/zenodo.11084689
title: Distributed predictive QoS in presence of network- and mobility-related drifts

description: The datasets represent a dynamic environment, where several client-vehicles are moving in an urban area. Each client runs a streaming cloud service constantly receiving data packets. Network simulation is performed using Simu5G, a library that emulates a 5G cellular environment in OMNeT++. The simulator's radio parameters are set according to the Macro-cell model proposed by International Telecommunication Union. The map comprises of an urban 600x600 square meters area located in a suburb of a European capital. Inside this area four 5G base-stations (gNodeBs) have been installed by the national network operator, enabling four 5G cells. This area, divided into several blocks by the actual road network is integrated in our simulation by an OpenStreetMap (OSM) instance. The total number of included vehicles is set to 25, according to vehicle density statistics in the corresponding country. The road network's traffic is simulated by SUMO that creates a digitized version of the (real-world) OSM map and produces the route files for the vehicles. Route files are loaded in the Simu5G simulator, where a network-vehicular mobility co-simulation takes place. For each vehicle's route we assume SUMO's default parameters for urban environment: exponential speed model (with maximum speed restriction as defined by the OSM traffic rules) and the probability matrix at intersections for {lane keeping, turn left and right} as {0.5, 0.25 and 0.25}, respectively. The following information is collected for each vehicle using OMNeT++'s monitoring service: timestamp, channel quality indicator, packet delay, measured signal to noise ratio (SNR), client position (x,y,z), client velocity (x,y,z), received SNR, radio link control throughput, serving cell, client throughput. These features are sampled at 1 Hz and comprise the values of our synthetic time-series QoS dataset. 

We have created two drift datasets that correspond to complementary cases of major long-term changes in the considered environment: 1) a network infrastructure-driven scenario (Sc1) and 2) a human behavior-driven scenario (Sc2). In Sc1 we assume that two out of four gNodeBs are switched off under a cost-reduction on/off policy or an infrastructure-share strategy (adopted by MNOs) that would imply such changes. For Sc2 we modify the users' mobility pattern; we assume that a "hotspot" e.g., a metro station is created in the lower-right edge of the map resulting in a traffic increase to that area. This is achieved by increasing the probabilities of the routes leading to the "hotspot" in SUMO's route planning. All generated datasets have a total duration of 20 hrs (simulation time) and the respective drift event is introduced at t=10 hrs.
DOI: 10.15468/dl.s849vr
title: Occurrence Download

description: A dataset containing 1770 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurycea nana Bishop, 1941"
 ]
}

 The dataset includes 1770 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309419-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/fwbciecgluahju-ubrhxmosba-m.1
title: [2-(4-Butyl-1H-1,2,3-triazol-1-yl)quinoxaline]silver triflate
title: InChI=1B/2C14H15N5.CHF3O3S.2Ag/c2*1-2-3-6-11-10-19(18-17-11)14-9-15-12-7-4-5-8-13(12)16-14;2-1(3,4)8(5,6)7;;/h2*4-5,7-10H,2-3,6H2,1H3;(H,5,6,7);;/q;;;2*+1/p-1/z200-1-48

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1B/2C14H15N5.CHF3O3S.2Ag/c2*1-2-3-6-11-10-19(18-17-11)14-9-15-12-7-4-5-8-13(12)16-14;2-1(3,4)8(5,6)7;;/h2*4-5,7-10H,2-3,6H2,1H3;(H,5,6,7);;/q;;;2*+1/p-1/z200-1-48, and canonical SMILES descriptor[cheminf_000007]: FC(S(=O)(=O)[O-])(F)F.CCCCc1nnn(c1)c1cnc2c(n1)cccc2.CCCCc1nnn(c1)c1cnc2c(n1)cccc2.[Ag+].[Ag+], and by the IUPAC name[cheminf_000107]: .
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-33233

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 CHMO:0000470 | mass spectrometry (MS)
 
 CHMO:0000159 | single crystal X-ray diffraction (single-crystal X-ray diffraction)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0001146 | 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
 
 CHMO:0000597 | 19F nuclear magnetic resonance spectroscopy (19F NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/fwbciecgluahju-ubrhxmosba-m/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1B/2C14H15N5.CHF3O3S.2Ag/c2*1-2-3-6-11-10-19(18-17-11)14-9-15-12-7-4-5-8-13(12)16-14;2-1(3,4)8(5,6)7;;/h2*4-5,7-10H,2-3,6H2,1H3;(H,5,6,7);;/q;;;2*+1/p-1/z200-1-48

description: dataset for mass spectrometry (MS)
 
 MS (FAB, 3-NBA), m/z (%): 869 (10) [M]+, 615 (100), 360 (27), 332 (81), 254 (30), 182.0 (21), 154.0 (42), 136 (36).HRMS (C29H30O3N10107Ag2F332S1): calcd 869.0272, found 869.0271. Mass found for L2Ag2SO3CF3.
DOI: 10.15468/dl.85krh5
title: Occurrence Download

description: A dataset containing 2492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dianthus giganteus d'Urv., Dianthus gratianopolitanus Vill.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2492 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239133-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/nm6k-8gk9
title: Measurement of Mercury at Virolahti III

description: Measurement of Mercury at Virolahti III