cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-hydroxy-3,6-dimethylbenzaldehyde)
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 195.5 (C=O), 161.6 (COH), 139.3 (Cq), 138.1 (CH), 124.9 (Cq), 121.1 (CH), 117.9 (Cq), 17.9 (CH3), 14.9 (CH3).
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-hydroxy-3,6-dimethylbenzaldehyde)
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 12.18 (s, 1H), 10.30 (s, 1H), 7.24 (d, J = 7.5 Hz, 1H), 6.62 (d, J = 7.5 Hz, 1H), 2.58 (s, 3H), 2.22 (s, 3H).
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n/chmo0001148
title: 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) (2-hydroxy-3,6-dimethylbenzaldehyde)
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: dataset for 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (2-hydroxy-3,6-dimethylbenzaldehyde)
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 195.6, 138.2, 121.2, 17.9, 15.0.
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (2-hydroxy-3,6-dimethylbenzaldehyde)
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2922 (w), 1621 (vs), 1587 (m), 1462 (m), 1453 (m), 1428 (s), 1407 (s), 1375 (s), 1324 (vs), 1278 (vs), 1249 (s), 1232 (vs), 1160 (m), 1057 (s), 1027 (s), 997 (w), 972 (vs), 942 (m), 822 (vs), 771 (vs), 738 (vs), 693 (vs), 592 (vs), 530 (vs), 487 (m), 449 (s) cm–1.
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2-hydroxy-3,6-dimethylbenzaldehyde)
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 195.6, 138.2, 121.2.
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) (2-hydroxy-3,6-dimethylbenzaldehyde)
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n.2
title: 2-hydroxy-3,6-dimethylbenzaldehyde
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: This dataset contains experimental data from a sample (2-hydroxy-3,6-dimethylbenzaldehyde, InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT) correlation spectroscopy (COSY) 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) mass spectrometry (MS)
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (2-hydroxy-3,6-dimethylbenzaldehyde)
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: dataset for mass spectrometry (MS) MS (ESI), m/z (C9H11O2) (%): calc 151.0754, found 151.0753.
DOI: 10.14272/wthuwxpbpntshj-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (2-hydroxy-3,6-dimethylbenzaldehyde)
title: InChI=1S/C9H10O2/c1-6-3-4-7(2)9(11)8(6)5-10/h3-5,11H,1-2H3

description: dataset for correlation spectroscopy (COSY)
DOI: 10.6084/m9.figshare.17949758
title: Dataset: ADM neural simulator for "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"

description: The neural simulator for the ADM dataset of "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"<br>For the usage, please refer to github page: https://github.com/BensonRen/AEM_DIM_Bench<br>Note that this is not a .csv format dataset but a neural simulator (model weights and definition of neural networks) since for inverse benchmarking, a simple dataset of paired geometry and spectra is not enough as one need to verify the designed geometry output from inverse algorithms (the forward mapping). The ADM dataset is one of the three dataset in the paper and the only one requiring a neural simulator due to its complexity.
DOI: 10.6084/m9.figshare.16934417
title: Mixtures of Matrix-Variate Contaminated Normal Distributions

description: Analysis of matrix-variate data is becoming ever more prevalent in the literature, especially in the area of clustering and classification. Real data, including real matrix-variate data, are often contaminated by potential outlying observations. Their detection, as well as the development of models insensitive to their presence, is particularly important for this type of data because of the practical issues concerning their effective visualization. Herein, the matrix-variate contaminated normal distribution is discussed and then utilized in the mixture model paradigm for clustering. One key advantage of the proposed model is the ability to automatically detect potential outlying matrices by computing their <i>a posteriori</i> probability of being typical or atypical. Such detection is currently unavailable using existing matrix-variate methods. An expectation conditional maximization algorithm is used for parameter estimation, and both simulated and real data are used for illustration. Supplementary files for this article are available online.
DOI: 10.6084/m9.figshare.16934417.v1
title: Mixtures of Matrix-Variate Contaminated Normal Distributions

description: Analysis of matrix-variate data is becoming ever more prevalent in the literature, especially in the area of clustering and classification. Real data, including real matrix-variate data, are often contaminated by potential outlying observations. Their detection, as well as the development of models insensitive to their presence, is particularly important for this type of data because of the practical issues concerning their effective visualization. Herein, the matrix-variate contaminated normal distribution is discussed and then utilized in the mixture model paradigm for clustering. One key advantage of the proposed model is the ability to automatically detect potential outlying matrices by computing their <i>a posteriori</i> probability of being typical or atypical. Such detection is currently unavailable using existing matrix-variate methods. An expectation conditional maximization algorithm is used for parameter estimation, and both simulated and real data are used for illustration. Supplementary files for this article are available online.
DOI: 10.34740/kaggle/dsv/3013381
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6073/pasta/facbd72c5bee71da4fa8a5fe89574992
title: Prospect Hill Hydrological Stations at Harvard Forest since 2005

description: To better understand the critical role of headwater streams and wetlands in our forest ecosystem, long-term measurements were initiated in 2005 on two small watersheds in the Prospect Hill Tract of the Harvard Forest. On Nelson Brook, weirs were installed on outlet streams of an 11-ha spruce-hemlock wetland (watershed area = 44 ha). On Bigelow Brook, pipes were installed to measure flow above (watershed = 24 ha) and below (watershed = 65 ha) a 3-ha shrub-dominated beaver swamp. The gaged watersheds, though adjacent and comparable in size, differ significantly in topography, soils, wetlands, stream chemistry, stream biota, land-use history, and forest vegetation, and provide an extraordinary opportunity to study the impacts of these factors on small watershed hydrology and ecology. Weekly manual measurements were initiated in April 2005. Continuous automated measurements were initiated in December 2007. Data for the current month are available online, updated every 15 minutes, with out-of-range values replaced by NA but values not otherwise checked. Earlier data are checked and archived with missing, questionable, and estimated values flagged, following methods of the LTER ClimbDB project. A log of events affecting station measurements is also posted. For current data, please see: https://harvardforest.fas.harvard.edu/meteorological-hydrological-stations. For a complete set of archived data, please see: https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=HF070.
DOI: 10.25345/c53g55
title: MassIVE MSV000088652 - DNA replication initiation RECQ4 WT
title: FLAG-RECQ4 IP Mass spec from HEK293 cells depleted with the endogenous RECQ4 gene. peak file 77274.mzXML. Result file 77274.mzid
DOI: 10.6084/m9.figshare.3761562.v2096
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.18112/openneuro.ds001399.v1.0.2
title: multibandACQtests
DOI: 10.6084/m9.figshare.17167316
title: Supporting data: Surface Flooding as a Key Driver of Groundwater Arsenic Contamination in Southeast Asia (ES&T, 10.1021/acs.est.1c05955)

description: Supporting data for "Surface Flooding as a Key Driver of Groundwater Arsenic Contamination in Southeast Asia" (ES&T, 10.1021/acs.est.1c05955)<br>User Information:Read me file (read_me.txt)RMarkdown html file (r_markdown.html)RMarkdown Rmd file (r_markdown.Rmd)<br>Datasets:Data to generate results and analysis (input_dataset.csv)Model output data table (output_dataset.csv)<br>30 m-resolution groundwater arsenic prediction maps:Concentrations (output_data_concentration_30m.tif)Probability &gt; 10 ug/L (output_data_probability_10_30m.tif)Probability &gt; 50 ug/L (output_data_probability_50_30m.tif)Probability &gt; 100 ug/L (output_data_probability_100_30m.tif)<br>1 km-resolution groundwater arsenic prediction maps:Concentrations (output_data_concentration_1km.tif)Probability &gt; 10 ug/L (output_data_probability_10_1km.tif)Probability &gt; 50 ug/L (output_data_probability_50_1km.tif)Probability &gt; 100 ug/L (output_data_probability_100_1km.tif)
DOI: 10.5281/zenodo.5826212
title: Hyperspectral X-ray CT dataset of a single, iodine-stained lizard head sample

description: <strong>General Data description:</strong> This is a hyperspectral (energy-resolved) X-ray CT projection dataset of a lizard head sample, stained with an iodine contrast agent. It was acquired in a custom-built, laboratory micro-CT scanner with an energy-sensitive HEXITEC detector in the Henry Moseley X-ray Imaging Facility at The University of Manchester. The following data contains all the files necessary for reconstruction, after a hyperspectral scan was taken of a single, iodine-stained lizard head sample. The iodine contrast agent provided a spectral marker, measured by an energy-sensitive detector, which may be used for spatial mapping and segmentation of stained soft tissue regions. <strong>File descriptions:</strong> Contained are four MATLAB (.mat) data files, as well as a single text (.txt) file. Lizard_head_scan_parameters.txt provides the full sample and detector geometry of the scan acquisition. lizard_180Proj_noSupp_1_180.mat contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data. The 4D array contains the total number of energy channels acquired during scanning, vertical and horizontal pixel number, and total projections angles acquired. The data provided is prior to application of any post-processing filters. The first 180 energy channels are included. lizard_180Proj_Supp_1_180.mat contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data. This dataset is identical to the .mat file above, however here we have also applied a ring-reduction filter, using a wavelet-based Fourier filter which suppresses the presence of ring artefacts in every energy channel. The first 180 energy channels are included. Energy_axis.mat provides a direct conversion between the energy channels, and the energies (in keV) that they correspond to, following a calibration procedure prior to scanning. FF.mat contains the 4D flatfield data acquired when no sample was present. This data was used to normalise the projection datasets, as the sinogram was constructed. The first 180 energy channels are included.
DOI: 10.5281/zenodo.4352943
title: Hyperspectral X-ray CT dataset of a single, iodine-stained lizard head sample

description: <strong>General Data description:</strong> This is a hyperspectral (energy-resolved) X-ray CT projection dataset of a lizard head sample, stained with an iodine contrast agent. It was acquired in a custom-built, laboratory micro-CT scanner with an energy-sensitive HEXITEC detector in the Henry Moseley X-ray Imaging Facility at The University of Manchester. The following data contains all the files necessary for reconstruction, after a hyperspectral scan was taken of a single, iodine-stained lizard head sample. The iodine contrast agent provided a spectral marker, measured by an energy-sensitive detector, which may be used for spatial mapping and segmentation of stained soft tissue regions. <strong>File descriptions:</strong> Contained are four MATLAB (.mat) data files, as well as a single text (.txt) file. Lizard_head_scan_parameters.txt provides the full sample and detector geometry of the scan acquisition. lizard_180Proj_noSupp_1_180.mat contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data. The 4D array contains the total number of energy channels acquired during scanning, vertical and horizontal pixel number, and total projections angles acquired. The data provided is prior to application of any post-processing filters. The first 180 energy channels are included. lizard_180Proj_Supp_1_180.mat contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data. This dataset is identical to the .mat file above, however here we have also applied a ring-reduction filter, using a wavelet-based Fourier filter which suppresses the presence of ring artefacts in every energy channel. The first 180 energy channels are included. Energy_axis.mat provides a direct conversion between the energy channels, and the energies (in keV) that they correspond to, following a calibration procedure prior to scanning. FF.mat contains the 4D flatfield data acquired when no sample was present. This data was used to normalise the projection datasets, as the sinogram was constructed. The first 180 energy channels are included.
DOI: 10.6073/pasta/0e38744e3e2d95a37246cb877d1f0c4b
title: Soil moisture, temperature, and electrical conductivity data from the black sand extended growing season length experiment, 2018 - ongoing, hourly.

description: As a result of climate change, the Rocky Mountain Front Range is experiencing warmer summers and earlier snowmelt. Due to the importance of snow for regulating soil temperature, growing season length, and available moisture in alpine ecosystems, even small shifts in the snow-free period could have large impacts. The focus of the Growing Season Length Experiment is to examine how terrain-related differences in climate exposure influence the way alpine habitats respond to climate change via earlier snowmelt. To simulate how changes in growing season length may affect biotic and abiotic components, NWT LTER researchers established 5 experimental sites each containing a pair 10 x 40m rectangular plots. These blocks include north and south facing aspects, subalpine and alpine tundra meadows in a range of hydrological conditions (e.g. dry meadows, moist meadows, wet meadows). We accelerated snowmelt in one plot of each block by adding chemically inert black sand, while keeping the second plot as an unmanipulated control (black sand was added to these plots after snow had naturally melted). This dataset includes measurements of soil temperature, moisture, and electrical conductivity.
DOI: 10.6073/pasta/96ca8dd82f395eb9d25d83a8c47ffce7
title: Infilled precipitation data for C1 chart recorder, 1952 - 2018, daily

description: Precipitation data have been collected at the C1 climate station (3022 m asl) almost continuously from 1952 to the present. C1 is on locally level terrain on the southeastern flank of Niwot Ridge, 9.7 km east of the Continental Divide. Surrounding vegetation is closed-canopy subalpine conifer forest. Through 1964, precipitation was recorded using an unshielded U.S. Weather Bureau standard totalizing gauge, with observations manually recorded on an approximately weekly basis. The gauge was located in an open area with sparse tree cover adjacent to the forest proper. Starting in late 1961, daily precipitation has been recorded using a Belfort Universal weighing-bucket gauge with chart recorder in an 8-m diameter clearing in the forest; the forest provides natural shielding for the gauge. The two records were assessed for an impact of this station change on record homogeneity and merged (see Methods). Missing daily data were infilled and multiday records were parsed to dailies (see Methods).
DOI: 10.5281/zenodo.5826236
title: Pogonocichla stellata decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5826235
title: Pogonocichla stellata decontaminated FSCR

description: .
DOI: 10.6073/pasta/7542858d4956f6a6b9e542e42dbf541d
title: Air temperature data for Saddle chart recorder, 1981 - 2017.

description: Air temperature data were collected on a daily time-scale from the Saddle climate station (3525 m) since 1981. Over time, various circumstances have led to days with missing values. Some of these values were estimated from redundant sensors and nearby climate stations. Greenland 1987 was a basis for the methodology; however when it was not possible to use this methodology, new methods were developed.
DOI: 10.6073/pasta/8e7e7c0fdeb5178af1c112a880508cbd
title: Climate data for Saddle data logger (CR21X), 1986-2000.

description: Climatological data were collected from a Niwot Ridge climate station (saddle) throughout the year using a Campbell Instruments CR21X data logger. Maximum and minimum values are recorded instantaneously, with the sampling interval being 30 seconds, until 4 February 1991 at which time the sampling interval was changed to 2 seconds. Daily means and totals were calculated from 2880 individual measurements until 4 February 1991 and 43200 after that date. This instrument was programmed to generate both hourly and daily output. Parameters measured include solar radiation, air temperature, relative humidity, barometric pressure, wind speed, wind vector, and wind direction.
DOI: 10.6073/pasta/2bf6a6ecd1409dd1256d67ad1cbe8cfd
title: Precipitation data for Saddle chart recorder, 1981 - ongoing.

description: Precipitation data were collected on a daily time-scale from the Saddle climate station (3525 m) since 1981. Over time, various circumstances have led to days with missing values. Some of these values were estimated from nearby climate stations for years up to 2008 using the methods described in METHODS.
DOI: 10.6073/pasta/d230ae4b1af1babe9b71f05af7bf4f19
title: Warming and snow experiment plant phenology data for Saddle snowfence, 1993 - 1996.

description: The International Tundra Experiment (ITEX) is a consortium of research sites seeking to understand the response of tundra plant populations to changes in growing season temperatures through a simple temperature manipulation and transplant experiment. The research goal is to examine the phenologic and reproductive responses of a set of species to experimentally-induced warming at a network of sites. The ITEX design is hierarchical, with sites participating at whatever level they are able. At the minimum, participation in ITEX requires climate monitoring (using the LTER MSR standards), a temperature manipulation using one of three possible designs, and monitoring phenologic and reproductive variables for at least one designated ITEX species or two other species. The temperature manipulation is achieved through use of conical or hexagonal open-top chambers of solar fiberglass, which have been shown to increase the air temperature at the surface approximately 3 degrees C. ITEX studies at Niwot Ridge, a logical outgrowth of the long-term phenology studies there, uses a factorial design based around the long-term snowfence experiment. Twenty cones are placed behind the snowfence, distributed at 10, 25, 45, and 75 m from the fence; each cone is paired with an adjacent plot. Beginning with the 1995 season, 24 additional plots were implemented outside of the snowfence influence. Twelve cones are distributed beyond both the north and south edges of the snowfence area, at 10, 25, 45, and 75 m behind the line of the snowfence; each cone is paired with an adjacent plot. This results in the following treatments: increased winter snow, increased summer temperature, increased snow and increased temperature, and control. Key phenologic, growth, and reproductive traits are being followed on marked individuals of Acomastylis (Geum) rossii and Bistorta (Polygonum) bistortoides, and complete species composition is being monitored.
DOI: 10.25345/c5zp2v
title: MassIVE MSV000088653 - DNA replication initiation factor RECQ4 Q757X IP
title: DNA replication initiation factor RECQ4 Q757X IP from HEK293 cells
DOI: 10.6073/pasta/caaa4da3a6ab7a4949a8afb3c0df6c14
title: Soil moisture and temperature surveys for Saddle Stream Network, 2017

description: Surface soil moisture and temperature reflect patterns in snowmelt and hydrologic connectivity in alpine ecosystems. In the summer of 2017, surface soil moisture and temperature were measured on eight surveys at 84 locations in the Niwot Ridge Saddle Stream catchment. The eight surveys were July 3, 2017 – September 9, 2017. Overall, soil moisture showed the influence of snowmelt early in the season and equilibration of soil moisture during the summer monsoon. Seasonal patterns in soil temperature were opposite that of soil moisture in that temperatures increased until the summer monsoon, which cooled surface soils temporarily. Soil moisture was highly variable between locations in that some locations remained consistently dry, while others remained consistently wet. Still others experienced an order of magnitude of variation in soil moisture over the course of the season. These data are useful for validating hydrologic models and remotely sensed thermal and moisture properties, informing growing season plant phenology, and understanding hydrologic connectivity in alpine ecosystems.
DOI: 10.6073/pasta/5947b3ce4f706470b83da7c4afa4a875
title: Streamflow data for Saddle stream, 1999 - ongoing.

description: This is a summary of discharges from the stream draining Niwot Ridge Saddle to the south and is based on stage records gauged at a timber weir with a 120 degree V-notch plate, located 30 m upstream of Green Lakes road. It consists of daily flow volumes.
DOI: 10.6073/pasta/21e69431d63e97ffb2d311bb35793eb1
title: Precipitation data for Saddle chart recorder, 1981 - ongoing.

description: Precipitation data were collected on a daily time-scale from the Saddle climate station (3525 m) since 1981. Over time, various circumstances have led to days with missing values. Some of these values were estimated from nearby climate stations for years up to 2008 using the methods described in METHODS.