cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3890436
title: Effects of presence of shelter on smallmouth bass metabolic traits - capture and experiment data

description: These data combine basic capture data (location, date, and physical variables) of smallmouth bass (<em>Micropterus dolomieu</em>) and experimental (metabolic traits calculated from respirometry experiments) data. Metabolic traits estimated during experiments in presence or absence of shelter on smallmouth bass were standard metabolic rates (SMR), resting metabolic rates (RMR), maximum metabolic rates (MMR), aerobic scope (AS), recovery time from MMR to SMR (RT), and excess post-exercise oxygen consumption (EPOC). These data consist in datatables accessible openly. Details provided in metadata file.
DOI: 10.15468/tfqkmx
title: A New Species of Cryptopontius (Crustacea: Copepoda: Siphonostomatoida) from Easter Island

description: This dataset contains the digitized treatments in Plazi based on the original journal article JOHNSSON, RODRIGO, ROCHA, CARLOS E. F., BOYKO, CHRISTOPHER B. (2002): A New Species of Cryptopontius (Crustacea: Copepoda: Siphonostomatoida) from Easter Island. American Museum Novitates 3370 (1): 1-8, DOI: 10.1206/0003-0082(2002)370&lt;0001:ANSOCC&gt;2.0.CO;2, URL: http://www.bioone.org/perlserv/?request=get-abstract&doi=10.1206%2F0003-0082(2002)370%3C0001%3AANSOCC%3E2.0.CO%3B2
DOI: 10.5066/p91d2xy0
title: Raster Dataset Model of Overburden Above the Mahogany Zone in the Piceance Basin, Colorado

description: An ESRI GRID raster data model of the overburden material above the Mahogany Zone was needed to perform calculations in the Piceance Basin, Colorado as part of a 2009 National Oil Shale Assessment.
DOI: 10.15468/83npwd
title: Discovery of the Male of Parabuthus muelleri, and Implications for the Phylogeny of Parabuthus (Scorpiones: Buthidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article PRENDINI, LORENZO (2003): Discovery of the Male of Parabuthus muelleri, and Implications for the Phylogeny of Parabuthus (Scorpiones: Buthidae). American Museum Novitates 3408: 1-24, DOI: 10.1206/0003-0082(2003)408&lt;0001:DOTMOP&gt;2.0.CO;2, URL: http://www.bioone.org/doi/abs/10.1206/0003-0082%282003%29408%3C0001%3ADOTMOP%3E2.0.CO%3B2
DOI: 10.5281/zenodo.5056617
title: Modeled San Diego Bight Shoreline Untreated Wastewater Concentration for Year 2017

description: This data set is used in Feddersen, Boehm, Giddings, Wu, Liden (2021, submitted) and consists of modeled San Diego Bight Shoreline Untreated Wastewater Concentration for Year 2017 and time series of yearly swimmers at Imperial Beach CA. The paper can be found at http:\\falk.ucsd.edu\papers.html There are two MATLAB data files in this data repository created with MATLAB 2019 or 2020 versions. The first is DSHORE_NADB_ALL.mat. The data fields look like &gt;&gt; load DSHORE_NADB_ALL.mat<br> &gt;&gt; whos<br> Name Size Bytes Class Attributes V 1x1 256427960 struct &gt;&gt; V V = struct with fields: DSHORE_ALL_PTB: [4x224x8928 double] % PTB source shoreline wastewater concentration for 4 scenarios, alongshore, and time<br> DSHORE_ALL_TJRE: [4x224x8928 double] % TJRE source shoreline wastewater concentration<br> SALT_SHORE_ALL: [4x224x8928 double] % shoreline ocean salinity<br> TEMP_SHORE_ALL: [4x224x8928 double] % shoreline ocean temp<br> time_dnum: [8928x1 double] % time vector<br> LAT: [224x1 double] % latitude and longitude of shoreline positions<br> LON: [224x1 double]<br> L_TJ: [224x1 double] % alongcoast distance from TJRE<br> L_PB: [224x1 double] % alongcoast distance from Punta Bandera<br> locs: [32.4466 32.5340 32.5534 32.5790 32.6290 32.6785 32.6854] % latitude of locations of interest<br> X: [224x1 double]<br> Y: [224x1 double]<br> Hsig0: [8977x1 double] % Significant wave height at location of SBOO outfall<br> Lwave0: [8977x1 double] % peak wavelength at SBOO outfall<br> Dp0: [8977x1 double] % peak wave direction at SBOO outfall<br> h0: 34.7912<br> zeta_tide: [8977x1 double] % tidal elevation at SBOO outfall<br> Salt0: [8977x1 double] % offshore salinity We also include a beach visitor data file &gt;&gt; load IB_beach_normalized_visit.mat<br> &gt;&gt; whos<br> Name Size Bytes Class Attributes <br> dtimes 1x8761 70088 double % time vector in matlab datenum format<br> mean_year_swim 1x1 8 double % total number of swimmers entire year<br> mean_year_visit 1x1 8 double % total beach visitors entire year<br> nswim 1x8761 70088 double % normalized swimmers - sums to one. For total hourly swimmers, multiply by mean_yaer_swim<br> nswim_daily 1x8761 70088 double % daily distributed swimmers<br> nswim_daily2 1x8761 70088 double % another version<br> nvisit 1x8761 70088 double % normalized beach visitors
DOI: 10.5281/zenodo.5056616
title: Modeled San Diego Bight Shoreline Untreated Wastewater Concentration for Year 2017

description: This data set is used in Feddersen, Boehm, Giddings, Wu, Liden (2021, submitted) and consists of modeled San Diego Bight Shoreline Untreated Wastewater Concentration for Year 2017 and time series of yearly swimmers at Imperial Beach CA. The paper can be found at http:\\falk.ucsd.edu\papers.html There are two MATLAB data files in this data repository created with MATLAB 2019 or 2020 versions. The first is DSHORE_NADB_ALL.mat. The data fields look like &gt;&gt; load DSHORE_NADB_ALL.mat<br> &gt;&gt; whos<br> Name Size Bytes Class Attributes V 1x1 256427960 struct &gt;&gt; V V = struct with fields: DSHORE_ALL_PTB: [4x224x8928 double] % PTB source shoreline wastewater concentration for 4 scenarios, alongshore, and time<br> DSHORE_ALL_TJRE: [4x224x8928 double] % TJRE source shoreline wastewater concentration<br> SALT_SHORE_ALL: [4x224x8928 double] % shoreline ocean salinity<br> TEMP_SHORE_ALL: [4x224x8928 double] % shoreline ocean temp<br> time_dnum: [8928x1 double] % time vector<br> LAT: [224x1 double] % latitude and longitude of shoreline positions<br> LON: [224x1 double]<br> L_TJ: [224x1 double] % alongcoast distance from TJRE<br> L_PB: [224x1 double] % alongcoast distance from Punta Bandera<br> locs: [32.4466 32.5340 32.5534 32.5790 32.6290 32.6785 32.6854] % latitude of locations of interest<br> X: [224x1 double]<br> Y: [224x1 double]<br> Hsig0: [8977x1 double] % Significant wave height at location of SBOO outfall<br> Lwave0: [8977x1 double] % peak wavelength at SBOO outfall<br> Dp0: [8977x1 double] % peak wave direction at SBOO outfall<br> h0: 34.7912<br> zeta_tide: [8977x1 double] % tidal elevation at SBOO outfall<br> Salt0: [8977x1 double] % offshore salinity We also include a beach visitor data file &gt;&gt; load IB_beach_normalized_visit.mat<br> &gt;&gt; whos<br> Name Size Bytes Class Attributes <br> dtimes 1x8761 70088 double % time vector in matlab datenum format<br> mean_year_swim 1x1 8 double % total number of swimmers entire year<br> mean_year_visit 1x1 8 double % total beach visitors entire year<br> nswim 1x8761 70088 double % normalized swimmers - sums to one. For total hourly swimmers, multiply by mean_yaer_swim<br> nswim_daily 1x8761 70088 double % daily distributed swimmers<br> nswim_daily2 1x8761 70088 double % another version<br> nvisit 1x8761 70088 double % normalized beach visitors
DOI: 10.5066/p9ki2l77
title: Raster Dataset Model of Nahcolite Resources in the Piceance Basin, Colorado

description: ESRI GRID raster datasets were created to display and quantify nahcolite resources for eight oil shale zones in the Piceance Basin, Colorado as part of a 2009 National Oil Shale and Nahcolite Assessment. The zones in descending order are: L-5, R-5, L-4, R-4, L-3, R-3, L-2, and R-2. Each raster cell represents a one-acre square of the land surface and contains values for nahcolite tonnage. The gridnames follow the naming convention *_n, where &quot;*&quot; can be replaced by the name of the oil shale zone.
DOI: 10.5281/zenodo.4541498
title: Design of an elastic porous injectable for tissue regeneration and volume retention: raw dataset

description: Raw dataset for the publication: <strong>Design of an elastic porous injectable for controlled tissue volume regeneration</strong>
description: {"references": ["Beduer, Bonini, Verheyen, et al. 2021, https://doi.org/10.5281/zenodo.4936976: 2 images used for pore size evaluation"]}
DOI: 10.15468/s6wrue
title: Myrmecicultoridae, a New Family of Myrmecophilic Spiders from the Chihuahuan Desert (Araneae: Entelegynae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ramírez, Martín J., Grismado, Cristian J., Ubick, Darrell, Ovtsharenko, Vladimir, Cushing, Paula E., Platnick, Norman I., Wheeler, Ward C., Prendini, Lorenzo, Crowley, Louise M., Horner, Norman V. (2019): Myrmecicultoridae, a New Family of Myrmecophilic Spiders from the Chihuahuan Desert (Araneae: Entelegynae). American Museum Novitates 2019 (3930): 1-24, DOI: 10.1206/3930.1, URL: https://bioone.org/journals/american-museum-novitates/volume-2019/issue-3930/3930.1/Myrmecicultoridae-a-New-Family-of-Myrmecophilic-Spiders-from-the-Chihuahuan/10.1206/3930.1.full
DOI: 10.15468/d5e6kj
title: A Possible Heptaxodontine and Other Caviidan Rodents from the Quaternary of Jamaica

description: This dataset contains the digitized treatments in Plazi based on the original journal article MacPhee, R. D. E., Flemming, Clare (2003): A Possible Heptaxodontine and Other Caviidan Rodents from the Quaternary of Jamaica. American Museum Novitates 3422: 1-43, DOI: 10.1206/0003-0082(2003)422&lt;0001:aphaoc&gt;2.0.co;2, URL: http://dx.doi.org/10.1206/0003-0082(2003)419&lt;0001:ansomf&gt;2.0.co;2
DOI: 10.6073/pasta/b004d14301e0d9c71ad8d730cf14ad9c
title: NSC01 Chemistry and physical characteristics of soils from Konza LTER watersheds with different fire and grazing treatments

description: Soil chemical and physical characteristics are quantified on selected LTER watersheds adjacent to LTER vegetation sampling plots. Sampling was initiated in 1982, and is repeated every five years. A subset of variables (e.g., pH, Bray extractable P, total C, exchangeable cations) is measured on all sample dates, while additional specific variables (e.g., bulk density, soil texture, CaCO3 content, trace metals, extractable inorganic N) are measured less frequently. Methods for C and N analysis have changed over time. C content of samples from 1982, 1987 and 1997 was derived from Walkley-Black measurements of % soil organic matter (OM) content, using a conversion factor of 1.72 (%C = %OM / 1.72). Soil C content of samples from 1992, 2002 and later were determined by dry combustion and gas chromatography (i.e., Carlo-Erba C/N analyzer). N content of samples prior to 1992 was based on Kjeldahl digeston. N content of samples from 1992 on were determined by dry combustion and gas chromatography (i.e., Carlo-Erba C/N analyzer). Additional details regarding sampling protocols and analytical methods are available in the Konza LTER Methods Manual.
DOI: 10.15468/598fu9
title: Psittacosaurus amitabha, a New Species of Ceratopsian Dinosaur from the Ondai Sayr Locality, Central Mongolia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Napoli, James G., Hunt, Tyler, Erickson, Gregory M., Norell, Mark A. (2019): Psittacosaurus amitabha, a New Species of Ceratopsian Dinosaur from the Ondai Sayr Locality, Central Mongolia. American Museum Novitates 2019 (3932): 1-36, DOI: 10.1206/3932.1, URL: https://bioone.org/journals/american-museum-novitates/volume-2019/issue-3932/3932.1/Psittacosaurus-amitabha-a-New-Species-of-Ceratopsian-Dinosaur-from-the/10.1206/3932.1.full
DOI: 10.5066/p9emyk3q
title: Raster Dataset Model of the Mahogany Zone Structure in the Piceance Basin, Colorado

description: An ESRI GRID raster data model of the Mahogany Zone structure was needed to perform overburden calculations in the Piceance Basin, Colorado as part of a 2009 National Oil Shale Assessment.
DOI: 10.5517/ccdc.csd.cc270frg
title: CCDC 2056005: Experimental Crystal Structure Determination

description: Related Article: Maurizio Mastropasqua Talamo, Flavia Pop, Narcis Avarvari|2021|Chem.Commun.|57|6514|doi:10.1039/D1CC02472H
DOI: 10.5517/ccdc.csd.cc270fqf
title: CCDC 2056004: Experimental Crystal Structure Determination

description: Related Article: Maurizio Mastropasqua Talamo, Flavia Pop, Narcis Avarvari|2021|Chem.Commun.|57|6514|doi:10.1039/D1CC02472H
DOI: 10.5517/ccdc.csd.cc27wxdg
title: CCDC 2082406: Experimental Crystal Structure Determination

description: Related Article: Maurizio Mastropasqua Talamo, Flavia Pop, Narcis Avarvari|2021|Chem.Commun.|57|6514|doi:10.1039/D1CC02472H
DOI: 10.5517/ccdc.csd.cc27x4nz
title: CCDC 2082631: Experimental Crystal Structure Determination

description: Related Article: Feng Li, Ren Ma, Zhengqiang Xia, Qing Wei, Qi Yang, Sanping Chen, Shengli Gao|2021|J.Solid State Chem.|301|122337|doi:10.1016/j.jssc.2021.122337
DOI: 10.5517/ccdc.csd.cc28582t
title: CCDC 2090425: Experimental Crystal Structure Determination

description: Related Article: Asanda C. Matsheku, Munaka C. Maumela, Banothile C.E. Makhubela|2021|Polyhedron|205|115280|doi:10.1016/j.poly.2021.115280
DOI: 10.15468/jgu8sf
title: Two new deep-sea species of burrowing anemones (Cnidaria: Actiniaria: Edwardsiidae) from Whittard Canyon off the southwestern coast of Ireland

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gusmão, Luciana C., Qu, Cherie, Burke, Sadie L., Rodríguez, Estefanía (2020): Two new deep-sea species of burrowing anemones (Cnidaria: Actiniaria: Edwardsiidae) from Whittard Canyon off the southwestern coast of Ireland. American Museum Novitates 2020 (3945): 1-25, DOI: 10.1206/3945.1, URL: https://bioone.org/journals/american-museum-novitates/volume-2020/issue-3945/3945.1/Two-New-Deep-Sea-Species-of-Burrowing-Anemones-Cnidaria/10.1206/3945.1.full
DOI: 10.5281/zenodo.5056915
title: Data for: A further source of Tokyo earthquakes and Pacific Ocean tsunamis

description: This data repository contains the location of cores collected as part of this study, the microfossil and radiocarbon results from those cores, and fault parameters used in eleven historical and hypothetical tsunami simulations for Kujukuri, Japan (Boso Peninsula). The work is supported by the Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST) and in part by grants awarded to J.E.P. [National Science Foundation (EAR-1303881 and 1624612), Natural Sciences and Engineering Council of Canada (NSERC), Canada Research Chair (CRC) program, and Japan Society for the Promotion of Science (JSPS) International Research Fellow program at the Geological Survey of Japan (PE14038)]; A.C.P. [Science Foundation Ireland Career Development Award (17/CDA/4695), Investigator Award (16/IA/4520), Marine Research Programme funded by the Irish Government, co-financed by the European Regional Development Fund (Grant-Aid Agreement No. PBA/CC/18/01), European Union’s Horizon 2020 research and innovation programme under grant agreement No 818144, and SFI Research Centre (16/RC/3872 and 12/RC/2289_P2); and B.P.H. [Singapore Ministry of Education Academic Research Fund (MOE2019-T3-1-004), National Research Foundation Singapore, and Singapore Ministry of Education, under the Reseach Centers of Excellence initiative].
DOI: 10.5281/zenodo.5056914
title: Data for: A further source of Tokyo earthquakes and Pacific Ocean tsunamis

description: This data repository contains the location of cores collected as part of this study, the microfossil and radiocarbon results from those cores, and fault parameters used in eleven historical and hypothetical tsunami simulations for Kujukuri, Japan (Boso Peninsula). The work is supported by the Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST) and in part by grants awarded to J.E.P. [National Science Foundation (EAR-1303881 and 1624612), Natural Sciences and Engineering Council of Canada (NSERC), Canada Research Chair (CRC) program, and Japan Society for the Promotion of Science (JSPS) International Research Fellow program at the Geological Survey of Japan (PE14038)]; A.C.P. [Science Foundation Ireland Career Development Award (17/CDA/4695), Investigator Award (16/IA/4520), Marine Research Programme funded by the Irish Government, co-financed by the European Regional Development Fund (Grant-Aid Agreement No. PBA/CC/18/01), European Union’s Horizon 2020 research and innovation programme under grant agreement No 818144, and SFI Research Centre (16/RC/3872 and 12/RC/2289_P2); and B.P.H. [Singapore Ministry of Education Academic Research Fund (MOE2019-T3-1-004), National Research Foundation Singapore, and Singapore Ministry of Education, under the Reseach Centers of Excellence initiative].
DOI: 10.5066/p9wjtgji
title: Raster Dataset Model of Oil Shale Resources in the Uinta Basin, Utah and Colorado

description: ESRI GRID raster datasets were created to display and quantify oil shale resources for eighteen zones in the Uinta Basin, Utah and Colorado as part of a 2010 National Oil Shale Assessment. The oil shale zones in descending order are: Bed 76, Bed 44, A Groove, Mahogany Zone, B Groove, R-6, L-5, R-5, L-4, R-4, L-3, R-3, L-2, R-2, L-1, R-1, L-0, and R-0. Each raster cell represents a one-acre square of the land surface and contains values for either oil yield in barrels per acre, gallons per ton, or isopach thickness, in feet, as defined by the grid name: *_b (barrels per acre), *_g (gallons per ton), and *_i (isopach thickness) where "*" can be replaced by the name of the oil shale zone.
DOI: 10.15468/trqd4s
title: Systematics of Neotropical Spiny Mice, Genus Neacomys Thomas, 1900 (Rodentia: Cricetidae), from Southeastern Amazonia, with Descriptions of Three New Species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Semedo, Thiago Borges Fernandes, Silva, Maria Nazareth Ferreira Da, Gutiérrez, Eliécer E., Ferreira, Daniela Cristina, Nunes, Mario Da Silva, Mendes-Oliveira, Ana Cristina, Farias, Izeni Pires, Rossi, Rogério Vieira (2020): Systematics of Neotropical Spiny Mice, Genus Neacomys Thomas, 1900 (Rodentia: Cricetidae), from Southeastern Amazonia, with Descriptions of Three New Species. American Museum Novitates 2020 (3958): 1-43, DOI: https://doi.org/10.1206/3958.1, URL: http://dx.doi.org/10.1206/3958.1
DOI: 10.15468/gva5xy
title: New species of Mesopsyche Tillyard, 1917 (Mecoptera: Mesopsychidae) from the Triassic of northwestern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lian, Xinneng, Cai, Chenyang, Huang, Diying (2021): New species of Mesopsyche Tillyard, 1917 (Mecoptera: Mesopsychidae) from the Triassic of northwestern China. Zootaxa 4995 (3): 565-572, DOI: https://doi.org/10.11646/zootaxa.4995.3.10
DOI: 10.25345/c54v71
title: MassIVE MSV000087738 - Untargeted and targeted analysis of sarin poisoning biomarkers in rat urine by liquid chromatography and tandem mass spectrometry
title: Raw data files of LCMS profiling of sarin treated rat's urine. Peaks tables are avalible on github: https://github.com/plyush1993/DReamGAMM
DOI: 10.6073/pasta/b5ee6fae7830551671e5d40cabc99b86
title: Modeling the effect of explicit vs implicit representaton of grazing on ecosystem carbon and nitrogen cycling in response to elevated carbon dioxide and warming in arctic tussock tundra, Alaska - Dataset A

description: We use a simple model of coupled carbon and nitrogen cycles in terrestrial ecosystems to examine how explicitly representing grazers versus having grazer effects implicitly aggregated in with other biogeochemical processes in the model alters predicted responses to elevated carbon dioxide and warming. The aggregated approach can affect model predictions because grazer-mediated processes can respond differently to changes in climate from the processes with which they are typically aggregated. We use small-mammal grazers in arctic tundra as an example and find that the typical three-to-four-year cycling frequency is too fast for the effects of cycle peaks and troughs to be fully manifested in the ecosystem biogeochemistry. We conclude that implicitly aggregating the effects of small-mammal grazers with other processes results in an underestimation of ecosystem response to climate change relative to estimations in which the grazer effects are explicitly represented. The magnitude of this underestimation increases with grazer density. We therefore recommend that grazing effects be incorporated explicitly when applying models of ecosystem response to global change.
DOI: 10.5066/p94z7qc2
title: Province, Total Petroleum System and Assessment Unit Boundaries from the 2009-2011 World Petroleum Resources Project

description: The boundaries illustrated by these Assessment Units are the result of geologic studies conducted by the World Petroleum Resources Project, 2009-2011 (Project). The boundaries were used to assess the oil and gas resources within the unit. An assessment unit, as defined by the Project, is a mapped volume of rock within the Total Petroleum System (TPS), sufficiently homogeneous in terms of geology, exploration strategy and risk characteristics to constitute a single population of discovered and undiscovered fields with respect to criteria used for resource assessment. Relatedly, the TPS is the essential elements and processes, as well as all genetically related hydrocarbons that occur in petroleum shows, seeps and accumulations (discovered and undiscovered), whose source is a pod or closely related pods of active source rock.
DOI: 10.6073/pasta/c7d7ad8ae40b3ae293cf0e297e67972a
title: Modeling the effect of explicit vs implicit representaton of grazing on ecosystem carbon and nitrogen cycling in response to elevated carbon dioxide and warming in arctic tussock tundra, Alaska - Dataset B

description: We use a simple model of coupled carbon and nitrogen cycles in terrestrial ecosystems to examine how explicitly representing grazers versus having grazer effects implicitly aggregated in with other biogeochemical processes in the model alters predicted responses to elevated carbon dioxide and warming. The aggregated approach can affect model predictions because grazer-mediated processes can respond differently to changes in climate from the processes with which they are typically aggregated. We use small-mammal grazers in arctic tundra as an example and find that the typical three-to-four-year cycling frequency is too fast for the effects of cycle peaks and troughs to be fully manifested in the ecosystem biogeochemistry. We conclude that implicitly aggregating the effects of small-mammal grazers with other processes results in an underestimation of ecosystem response to climate change relative to estimations in which the grazer effects are explicitly represented. The magnitude of this underestimation increases with grazer density. We therefore recommend that grazing effects be incorporated explicitly when applying models of ecosystem response to global change.
DOI: 10.6084/m9.figshare.14896503
title: Conidial germination and mycelial growth datasets for six entomopathogenic fungi under different temperature

description: Datasets are conidial germination and mycelial growth of six entomopathogenic fungi incubated at 7 different temperatures (degrees Celsius). The conidial germination (percentage) was collected after 18 hours of incubation while mycelial growth (mm/day) was recorded daily for 15 days in laboratory. These dataset are the averages of the five experimental replicates of entomopathogenic fungus and temperature combination.
DOI: 10.6084/m9.figshare.14896680
title: Colorimetric sensor arrays for monitoring volatile organic compounds indoors

description: Colorimetric sensor arrays for monitoring volatile organic compounds indoors
DOI: 10.6084/m9.figshare.14896680.v1
title: Colorimetric sensor arrays for monitoring volatile organic compounds indoors

description: Colorimetric sensor arrays for monitoring volatile organic compounds indoors