cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18141/1479089
title: Parameter Calibration and Uncertainty Quantification via Surrogate Model Optimization for CFD-DEM Modelling of a Small-Scale Slugging Bed

description: ARS TRS
DOI: 10.5066/f73777xm
title: Water quality data from Bell County, Texas, 2012-2015

description: Between 2012 and 2015, water-quality samples were collected by the USGS in cooperation with the Clearwater Underground Water Conservation District (CUWCD), the Bell County Adaptive Management Coalition (BCAMC), and other entities, with a primary goal of characterizing the groundwater resources in Bell County, Texas. Water resources associated with the northern segment of the Edwards aquifer near the Village of Salado were of primary interest, but water resources in the Trinity aquifer were also investigated to a lesser degree (the assessment focused on a springs complex in the Village of Salado). Data associated with other water quality samples collected by the USGS in Bell County during 1978 to 2017, outside of the cooperative agreements with CUWCD and the BCAMC, were also included in this data release. Most samples were analyzed for pesticides, nutrients, major and trace elements, and isotopes (strontium-87, oxygen-18 and deuterium in water, and nitrogen-15 and oxygen-18 in nitrate).
DOI: 10.14469/hpc/4781
title: ethanimidoperoxoic acid epoxidation of propene, Def2-TZVPPD/DCM/M062X TS via neutral starting point -402.057148 IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/4782
title: ethanimidoperoxoic acid epoxidation of propene, Def2-TZVPPD/DCM/M062X TS via zwitterionic starting point -402.063811 IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/4784
title: Peracid epoxidation of cis-dicyanopropene, Def2-TZVPPD/DCM/M062X, Reactant -606.524951

description: Gaussian Calculation
DOI: 10.18141/1476713
title: Numerical Experiments in Multiphase CFD: Artificial Levitation of a Very Shallow Fluidized Bed in CFD-DEM

description: ARS TRS
DOI: 10.14469/hpc/4787
title: ethanimidoperoxoic acid epoxidation of propene, Def2-TZVPPD/DCM/M062X Product -402.213627

description: Gaussian Calculation
DOI: 10.14469/hpc/4788
title: ethanimidoperoxoic acid epoxidation of propene, Def2-TZVPPD/DCM/M062X Reactant, non-ionic -402.108012

description: Gaussian Calculation
DOI: 10.14469/hpc/4789
title: ethanimidoperoxoic acid epoxidation of propene, Def2-TZVPPD/DCM/M062X Reactant, ionic -402.096645

description: Gaussian Calculation
DOI: 10.14469/hpc/4790
title: ethanimidoperoxoic acid epoxidation of propene, Def2-TZVPPD/DCM/M062X TS for tautomeric proton transfer -402.094727

description: Gaussian Calculation
DOI: 10.5063/f1jd4v0d
title: Dynamic energy budget model parameter estimation files for Heteronotia binoei (Bynoe's gecko) CA6 chromosome race

description: Matlab files for use with the DEBtool package for estimating the DEB parameters of Heteronotia binoei (Bynoe's gecko CA6 chromosome race).
DOI: 10.15468/i2zs91
title: DIBA-Parc de la Serralada de Marina

description: Observaciones de flora y fauna de distintas fuentes en el Parque de la Serralada de Marina https://parcs.diba.cat/es/web/marina, integrado en la Red de Parques Naturales de la Diputación de Barcelona https://parcs.diba.cat/es. Los fuentes están referenciadas en cada registro. La georreferenciación de las observaciones se muestra en GBIF generalizada a cuadrículas UTM 1x1 km o UTM 10x10km en función del grado de vulnerabilidad del taxón. Bajo petición, en casos justificados, se pueden facilitar las coordenadas a mayor detalle. Para más información sobre la biodiversidad de la Red de Parques Naturales de la Diputación de Barcelona, se recomienda la siguiente web temática: https://parcs.diba.cat/es/web/conservacio-de-la-biodiversitat
DOI: 10.15468/fy3wh3
title: Catalogue of type specimens of vascular plants deposited in the Herbarium of the University of Granada (Spain)

description: This dataset contains the specimen records from the catalogue of the nomenclature types of vascular plants in the Herbarium of the University of Granada, Spain. These herbarium specimens are included in the GDA and GDAC collections, acronyms registered in the Index Herbariorum (Thiers 2014). A catalogue of vascular plants types from the Herbarium of the University of Granada has not previously been compiled. As a result of developing a doctoral thesis on the nomenclatural types included in their collections, and a project to get digital images to preserve and publish them, a large number of previously unrecognized types were identified. At this time, the type collection of vascular plants at the Herbarium of the University of Granada contains 547 type material of 438 nominal taxa. Most of the types provide from Morocco and Spain (eastern Andalusia). Almost half of them come from the following exsiccatae: Iter Maroccanum (1927-1930) of Font Quer, Plantes D’Espagne of Sennen, Flora Iberica Selecta, Flora Selecta Canariensis of Sventenius, and Pteridophyta Iberica. The rest of this catalogue has been generated through researches conducted by Botany Department of the University of Granada, mostly from eastern Andalusia. For each specimen, the locality indication, species name, observation date, collector, type status, related information, associated sequences, and other catalogue numbers related to each type are recorded. The dataset is associated with an image collection available at the Herbarium of University of Granada institutional web site (http://herbarium.ugr.es/pages/imagenes/tipos-nomenclaturales/tvascular) or by request images to the data provider while loading the image collection on the server is completed.
DOI: 10.5281/zenodo.1484137
title: Development, evaluation and application of NicheNet: datasets

description: Here you can find the datasets used for development, validation and application of NicheNet, a method that links ligands to target genes to model intercellular communictation. The software to use NicheNet (i.e. R package nichenetr) is available at: https://github.com/saeyslab/nichenetr Short description of individual files: * data for development of NicheNet: - lr_network.rds: network containing ligand-receptor interactions - signaling_network.rds: network containing signaling interactions - gr_network.rds: network containing gene regulatory interactions - weighted networks.rds: integrated weighted ligand-signaling and gene regulatory network * data for use of NicheNet: - ligand_tf_matrix.rds: matrix containing ligand-gene signaling scores - tf_target_matrix.rds: matrix containing gene-gene regulatory scores - ligand_target_matrix.rds: matrix containing ligand-target gene regulatory potential scores * datasets for validation of NicheNet: - expression_settings.rds: 111 expression datasets profiling the transcriptional response to a ligand * datasets to demonstrate application possibilities of NicheNet: - pemt_signature.txt: p-EMT geneset for which upstream regulators will be predicted - hnscc_expression.rds: single-cell expression data of malignant and non-malignant cells from head and neck squamous cell carcinoma tumors
DOI: 10.5281/zenodo.1484138
title: Development, evaluation and application of NicheNet: datasets

description: Here you can find the datasets used for development, validation and application of NicheNet, a method that links ligands to target genes to model intercellular communictation. The software to use NicheNet (i.e. R package nichenetr) is available at: https://github.com/saeyslab/nichenetr The ligand-target matrix of this Zenodo repository version specifically was used for the NicheNet analyses as described in the paper "Stellate Cells, Hepatocytes, and Endothelial Cells Imprint the Kupffer Cell Identity on Monocytes Colonizing the Liver Macrophage Niche" from Bonnardel, T'jonck et al. (https://www.cell.com/immunity/fulltext/S1074-7613(19)30368-1.) Short description of individual files: * data for development of NicheNet: - lr_network.rds: network containing ligand-receptor interactions - signaling_network.rds: network containing signaling interactions - gr_network.rds: network containing gene regulatory interactions - weighted networks.rds: integrated weighted ligand-signaling and gene regulatory network * data for use of NicheNet: - ligand_tf_matrix.rds: matrix containing ligand-gene signaling scores - tf_target_matrix.rds: matrix containing gene-gene regulatory scores - ligand_target_matrix.rds: matrix containing ligand-target gene regulatory potential scores * datasets for validation of NicheNet: - expression_settings.rds: &gt;50 expression datasets profiling the transcriptional response to a ligand * datasets to demonstrate application possibilities of NicheNet: - pemt_signature.txt: p-EMT geneset for which upstream regulators will be predicted - hnscc_expression.rds: single-cell expression data of malignant and non-malignant cells from head and neck squamous cell carcinoma tumors
DOI: 10.15468/uoxbne
title: The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology - DgoMB: Macros

description: A research program has been initiated by the Minerals Management Service to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled "The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology". Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, "Deep Gulf of Mexico Benthos" or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. This dataset contains data on the macrofauna.
DOI: 10.5281/zenodo.1485458
title: A Sampling Approach to Evaluative Conditioning

description: In an evaluative conditioning procedure (EC), a conditioned stimulus (CS) is paired with positive or negative unconditioned stimuli (US) and consequently acquires US valence. We introduce a sampling perspective into the EC paradigm by repeatedly giving participants agency over which CSs they want to sample (i.e., for what CSs they want to see conditioning trials). Half of the CSs was paired positively, while the other half was paired negatively. We also introduced a yoked condition, in which participants saw the same information produced by the sampling condition, but did not get to make any decisions. In three experiments, we found that over time a preference for sampling positively paired CSs over negatively paired CSs develops. We replicated standard EC effects and found that a higher number of pairings leads to more positive evaluative shifts, but more so in the sampling than in the yoked condition. This finding shows that evaluative conditioning depends on the learner’s willingness to attend to certain CSs. The results of this set of studies also suggest that agency increases the readiness to process the presented CS-US pairs. This reasoning is supported by memory data that indicate better memory for the number of pairings and paired valence in the sampling condition compared to the yoked condition. Implications for the external validity of the EC paradigm are also discussed.
description: The research reported in this article was supported by an Emmy Noether grant from the Deutsche Forschungsgemeinschaft (HU 1978/4-1) awarded to Mandy Hütter.
DOI: 10.5066/f74q7swx
title: Analysis of remotely-sensed vegetation conditions during droughts and a mountain pine beetle outbreak, Gearhart Mountain Wilderness, Oregon

description: This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation conditions within a dry, mixed conifer forest study area in southern Oregon in 2001 (a single year drought without any widespread insect mortality) and 2009 (during a multi-year drought that coincided with a severe outbreak of mountain pine beetle; MPB). This analysis involved several steps. First, time-series climate data were compiled and plotted to identify drought periods. Similarly, time-series data representing insect outbreaks were compiled and plotted to identify trends in insect mortality. The study area was classified into forest canopy types using existing modeled estimates of tree basal area by tree species. Using remotely-sensed Normalized Difference Moisture Index (NDMI) from the Landsat archive, NDMI anomalies from reference conditions were calculated in 2001 and 2009. Based on these anomalies, and using the forest classification map, refugia from drought (in 2001) and combined drought-MPB effects (in 2009) were identified as NDMI anomalies greater than the 90th-percentile value within each forest type. Once refugia had been identified, landscape variables (topographic, soil, and forest stand characteristics) were compiled and used to model the landscape controls on refugia locations using Boosted Regression Tree (BRT) modeling, a machine-learning algorithm. For detailed descriptions of data-release components, please consult the appropriate metadata documents that accompany the processing scripts and data products.
DOI: 10.5066/p9kwh1nb
title: Petroleum geology data from Cenozoic rock samples in the eastern U.S. Gulf Coast collected 2014 to 2016

description: The U.S. Geological Survey assessed undiscovered petroleum resources in the downdip Paleogene formations of the U.S. Gulf Coast in 2018. During the assessment new data and information were collected to evaluate thermal maturity, source rock character, and unconventional reservoir rock prospectivity for the Cenozoic-aged section in south Louisiana. Samples were analyzed using multiple analytical approaches, including programmed pyrolysis (Rock-Eval), Leco TOC, organic petrographic analysis including vitrinite reflectance (Ro, %), and X-ray diffraction mineralogy.
DOI: 10.25814/5beb63850e270
title: Catchment Scale Land Use Mapping for Western Australia 2018

description: This vector dataset is a compilation of land use data for Western Australia, as at August 2018. It has been derived from various vector datasets with attribution relevant to land use in Western Australia. The date of mapping (2008 to 2018) and scale of mapping (1:5 000 to 1:250 000) vary, reflecting the source data, capture date and scale. The data shows a single dominant land use for a given area, based on the primary management objective of the land manager. As a seamless spatial dataset for Western Australia, it can be used to identify, map and analyse high level land use categories (such as nature conservation, dryland cropping and irrigated horticulture) and more specific land use categories (such as aquaculture and tree fruits) including some commodities (such as bananas). These categories can be extracted or combined with other spatial datasets to provide new insights and analysis concerning land use in Western Australia. Land use is classified according to the Australian Land Use and Management (ALUM) Classification version 8, a three-tiered hierarchical structure. There are five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to a number of concurrent land uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use. The operational scales of the mapping vary according to the intensity of land use activities and landscape context. Scales range from 1:5 000 and 1:25 000 for irrigated and peri-urban areas, to 1:100 000 for broadacre cropping regions and 1:250 000 for the semi-arid and arid pastoral zone. The scale of mapping generally reflects the intensity of land use.
DOI: 10.5063/f1dn439h
title: Estimated Values for Permanent Permits in Alaska's Limited Fisheries 1978-2017

description: The Commercial Fisheries Entry Commision (CFEC) is an independent, autonomous agency of the State of Alaska which regulates entry into Alaska's commercial fisheries. The CFEC is committed to promoting conservation and sustained-yield management of Alaska's unique fishery resources and boosting economic stability among fishermen and their dependents. To ensure effective management of commercial fisheries, all vessels used for commercial fishing or related activities must be licensed by the CFEC. This includes fishing vessels, tenders, packers, processors, transporter vessels, and seine skiffs. The CFEC is responsible for leasing all commercial fishing permits including permits for limited-entry fisheries. Limited-entry fisheries include all state salmon fisheries, most herring fisheries, and various other fisheries. This dataset includes estimated values for permanent permits in Alaska’s limited salmon fisheries between 1978 and 2017. Data includes fishery, estimated permit value, range between highest and lowest values used to calculate the estimate, standard deviation of the calculation, dates relevant to permit transfers and estimated value, html file name of the estimated permit value report (to view report: append file name to 'https://www.cfec.state.ak.us/pmtvalue/'), gear type, and region in Alaska. The source of this permit information is the CFEC Fishery Statistics.
DOI: 10.5063/f18w3bjb
title: INPFC/NPAFC High-seas salmonid tag-recovery database, 1956 - 2013

description: This data set contains information on the high-seas tag recovery program for salmon and steelhead from the 1950s to 2013 in the North Pacific Ocean, Gulf of Alaska, and Bering Sea, from the North Pacific Anadromous Fish Commission. The database was last updated in April of 2016, and this version was provided in November of 2016. Data are provided on the location, species, age, sex, and initial tag location. Annual high seas salmon recovery information have been reported annually to the International North Pacific Fisheries Commission (1981–1992) and to the North Pacific Anadromous Fish Commission (1993–present). The tag recovery program enables the investigation of ocean distribution, migration, and growth of salmon at sea. Here, only information from non-electronic tags are reported. Information are available for salmon species: chinook (Oncorhynchus tshawytscha), chum (Oncorhynchus keta), coho (Oncorhynchus kisutch), pink (Oncorhynchus gorbuscha), sockeye (Oncorhynchus nerka), and steelhead (Oncorhynchus mykiss). Researchers using these data are cautioned to possible biases in the data caused from non-random area of tag release and from recovery of tagged fish in coastal areas that may not reflect the basin or area of origin. A discussion of these issues is provided in Myers et al. (1996). Included maps are generated from the dataset and show the release month by species, and the recovery region at release point. These maps were created by researchers at the National Center for Ecological Analysis and Synthesis.
DOI: 10.14469/hpc/4793
title: ethanimidoperoxoic acid epoxidation of propene, Def2-TZVPPD/DCM/M062X -402.094727 tautomeric proton transfer IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/4794
title: peracid epoxidation of propene, Def2-TZVPPD/DCM/M062X TS from ionic starting point reverts to non-ionic TS

description: Gaussian Calculation
DOI: 10.5281/zenodo.1484498
title: Developer Expertise Dataset on JavaScript Libraries

description: This dataset contains an anonymized list of surveyed developers who provided their expertise level on three popular JavaScript libraries:


	ReactJS, a library for building enriched web interfaces 
	MongoDB, a driver for accessing MongoDB databased 
	Socket.IO, a library for realtime communication
DOI: 10.5281/zenodo.1484497
title: Developer Expertise Dataset on JavaScript Libraries

description: This dataset contains an anonymized list of surveyed developers who provided their expertise level on three popular JavaScript libraries:


	ReactJS, a library for building enriched web interfaces 
	MongoDB, a driver for accessing MongoDB databased 
	Socket.IO, a library for realtime communication
DOI: 10.5281/zenodo.1486557
title: Virome analysis of PRJNA361402 - reads

description: Raw output files from virome analysis of [PRJNA361402](https://www.ncbi.nlm.nih.gov/sra?term=PRJNA361402) study using [virome-quant workflow](https://github.com/avilab/vs). ## Files samples_norm.tsv -- ids and ftp links of analysed runs (see 'analyse' variable) treatments.csv -- treatments info Contents of tar archives: prjna361402_phages.tar.gz -- reads assigned to phages, csv files with blast results prjna361402_phages-viruses.tar.gz -- reads assigned to viruses, csv files with blast results prjna361402_non-viral.tar.gz -- reads assigned to other taxa, csv files with blast results prjna361402_unassigned.tar.gz -- fasta files with unassigned reads prjna361402_stats.tar.gz -- intermediate file stats
DOI: 10.18739/a2154dn9j
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2011C, Central Arctic, 2011
DOI: 10.18739/a2251fj9s
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2009F, Central Arctic, 2009
DOI: 10.18739/a2348gg0k
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2006E, Laptev Sea, Arctic Ocean, 2006
DOI: 10.18739/a24x54g4g
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2010B, Beaufort Sea, Arctic Ocean, 2010
DOI: 10.18739/a25x25c4q
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2008E, Central Arctic, 2008
DOI: 10.18739/a28p5v887
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2011D, Central Arctic, 2011
DOI: 10.18739/a29p2w570
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2009A, Central Arctic, 2009
DOI: 10.18739/a2bk16p4w
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2006B, Central Arctic, 2006
DOI: 10.18739/a2df6k31h
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2010A, Central Arctic, 2010
DOI: 10.18739/a2fb4wk8d
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2009E, Canadian Arctic Archipelago, 2009
DOI: 10.18739/a2j38kh2x
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2011B, Beaufort Sea, Arctic Ocean, 2011
DOI: 10.18739/a2k35md1p
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2009D, Central Arctic, 2009
DOI: 10.18739/a2nv99958
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2010H, Central Arctic, 2010
DOI: 10.18739/a2pv6b65h
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2008F, Beaufort Sea, Arctic Ocean, 2008
DOI: 10.18739/a2rn3070t
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2011F, Central Arctic, 2011
DOI: 10.18739/a2sn0139z
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2010F, Beaufort Sea, Arctic Ocean, 2010
DOI: 10.18739/a2tm7210r
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2003D, Beaufort Sea, Arctic Ocean, 2003
DOI: 10.18739/a2wd3q14k
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2011E, Canadian Arctic Archipelago, 2011
DOI: 10.18739/a2xd0qx3x
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2010G, Canadian Arctic Archipelago, 2010
DOI: 10.18739/a2zc7rt5k
title: Autonomous Ice Mass Balance Buoy Observations, Buoy 2006F, Laptev Sea, Arctic Ocean, 2006