cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3939178
title: In situ temperature and brGDGTs measurements in soils from the Tropical Andes of Colombia and a tropical soil brGDGT compilation dataset

description: This dataset contain: Table S1. Air and soil mean monthly temperatures from the 16 sites in the Eastern Cordillera of Colombia with new data presented in this study. Table S2. Positive ion settings of the atmospheric pressure chemical ionization (APCI) . Soil Branched glycerol dialkyl glycerol tetraethers (brGDGTs) from the Eastern Cordillera of Colombia and data compilation from the tropics. Table S4. nonlinear brGDGTs predictors for the tropical compilation data.
description: These files are the supplementary material for Pérez‐Angel, L. C., Sepúlveda, J., Molnar, P., Montes, C., Rajagopalan, B., Snell, K., Gonzalez-Arango, C., Dildar, N., (2020). Soil and air temperature calibrations using branched GDGTs for the Tropical Andes of Colombia: Towards a pan-tropical calibration. Geochemistry, Geophysics, Geosystems. This work was funded by the National Science Foundation NSF | GEO | Division of Earth Sciences (EAR): 1929199
DOI: 10.17632/nph7xtjnmg.6
title: Data for: Rapid Annotation of Photosynthetic Systems (RAPS): automated algorithm to generate genome-scale metabolic networks from algal genomes

description: The RAPS algoritihim and associated files. The 7 new genome scale models for algae
DOI: 10.5281/zenodo.3733436
title: A geotagged image dataset with compass directions for studying the drivers of farmland abandonment

description: In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera which incorporates GPS and a digital compass sensor. The photographs are taken as a part of a GIS database. Using their Exif metadata we created a layer of Geographic Fields Of View (GeoFOVs) that can be used to perform very specific spatial queries. The dataset contains 2,235 pictures and GIS layers of GeoFOVs contextualizing the agricultural plots being photographed.
DOI: 10.5281/zenodo.3733435
title: A geotagged image dataset with compass directions for studying the drivers of farmland abandonment

description: In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera which incorporates GPS and a digital compass sensor. The photographs are taken as a part of a GIS database. Using their Exif metadata we created a layer of Geographic Fields Of View (GeoFOVs) that can be used to perform very specific spatial queries. The dataset contains 2,235 pictures and GIS layers of GeoFOVs contextualizing the agricultural plots being photographed.
DOI: 10.18112/openneuro.ds003008.v1.0.0
title: How ovarian hormones influence the behaviroal activation and inhibition system through the dopamine pathway
DOI: 10.17632/nwmyvyyy2v.8
title: Data for: Predicting the Impacts of Mutations on Protein-Ligand Affinity Based on Molecular Dynamics Simulations and Machine Learning Methods

description: Statistics of the original data set, including the mutation type, the ID of the corresponding mutant in the protein data bank (PDB), the PDB ID of the wild type protein, the ID of the ligand, the type of ligand-binding sites (multiple or single), the impact of mutation on the protein-ligand affinity (decreased or increased) and the affinity fold change. For mutation types, XIY means a substitution from residue X to residue Y at position I, and XIY/AIIB indicates a dual mutation at positions I and II.
DOI: 10.17632/bhwbp88gv7.4
title: Data for: Cotton production and variable solar radiation during the tropical monsoon season. II – Biomass accumulation, partitioning and RUE

description: These files have the raw data and GenStat analysis outputs for final biomass and percentages, allometric analyses, LAI data and analyses and RUE data and analyses
DOI: 10.7910/dvn/42vdb0/rmdsth
title: Table5.ipynb

description: :unav
DOI: 10.7910/dvn/42vdb0/xmgltx
title: Table4.ipynb

description: :unav
DOI: 10.7910/dvn/42vdb0/vtabrv
title: origin_10per_rand.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/n1pdmh
title: Table2.ipynb

description: :unav
DOI: 10.7910/dvn/42vdb0/ueythd
title: Cleaning_Data.do

description: :unav
DOI: 10.7910/dvn/42vdb0/xkun1y
title: Table1.ipynb

description: :unav
DOI: 10.7910/dvn/42vdb0/t9glip
title: states_order.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/wxalfh
title: invent_location.csv

description: :unav
DOI: 10.7910/dvn/42vdb0/nkeokw
title: Table6.ipynb

description: :unav
DOI: 10.7910/dvn/42vdb0/wv6vlk
title: controls1_1976_1985.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/kucqxk
title: controls1_1986_1995.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/7p6mkr
title: controls1_1996_2005.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/hwncrc
title: controls1_2006_2015.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/6epmdr
title: Table3_4.do

description: :unav
DOI: 10.7910/dvn/42vdb0/z8vyjh
title: controls2_1976_1985.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/fa0qkx
title: controls2_1986_1995.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/oecuhs
title: controls2_1996_2005.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/ujpqlc
title: controls2_2006_2015.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/7sirvz
title: controls3_1976_1985.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/3owahv
title: controls3_1986_1995.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/wcneho
title: controls3_1996_2005.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/4fozo2
title: controls3_2006_2015.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/n4kvtn
title: controls4_1976_1985.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/guhji4
title: controls4_1986_1995.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/b6mgce
title: controls4_1996_2005.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/y3hyps
title: controls4_2006_2015.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/yvqfzs
title: citing_cited.csv

description: :unav
DOI: 10.7910/dvn/42vdb0/hnorvl
title: class.csv

description: :unav
DOI: 10.17632/6c56r7ngyb.3
title: Data for: Selection or drift: the population biology underlying transposon insertion sequencing experiments

description: Code to create the figures in article "Selection or drift: the population biology underlying transposon insertion sequencing experiments".
DOI: 10.7910/dvn/42vdb0/jlkcgq
title: citing_cited_cleaned.csv

description: :unav
DOI: 10.7910/dvn/42vdb0/day11c
title: basic.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/gp153t
title: NBER_class.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/xyubbo
title: Finding_Controls.ipynb

description: :unav
DOI: 10.7910/dvn/42vdb0/5ztquu
title: README.pdf

description: :unav
DOI: 10.7910/dvn/42vdb0/ewchqm
title: basic76.dta

description: :unav
DOI: 10.7910/dvn/42vdb0/nsolm0
title: citing_cited76.dta

description: :unav
DOI: 10.7910/dvn/42vdb0/cdkgri
title: institution_pat.tab

description: :unav
DOI: 10.7910/dvn/42vdb0/uvyd9v
title: invent_location76.dta

description: :unav
DOI: 10.17632/8kptw2k475.4
title: Data for: Optimization of solvent properties for post-combustion CO2 capture using process simulation

description: Process simulations have been used to identify the most important properties of the absorbent for post-combustion CO2 recovery and provide valuable insight for further solvent development. The process model has been validated by pilot plant data. Afterward, the effects of various solvent physicochemical properties including liquid density, surface tension, thermal conductivity, viscosity, volatility, heat capacity, CO2 solubility, enthalpy of solution, solvent strength and absorption kinetics on the CO2 capture performance have been investigated separately. Then a viscous solvent with low volatility and slow absorption kinetics is assumed to service a 450 MW natural gas combined cycle power plant. Combined with an economic analysis, sensitivity studies of solvent properties are employed for this water-lean absorbent.
DOI: 10.5281/zenodo.3939065
title: Datasets and electronic graphs for Technologies of the Novel

description: This contains CSV datasets used for composing the graphs in Nicholas Paige, <em>Technologies of the Novel: Quantitative Data and the Evolution of Literary Systems</em> (Cambridge UP, 2020). Each dataset is accompanied by a document explaining the tags used. An Electronic Graph Annex contains figures that <em>Technologies of the Novel</em> references but that were not included in the published version.
DOI: 10.5281/zenodo.3451482
title: Intercambios oceánicos Minicorpus

description: Bases de datos de los minicorpus del proyecto Intercambios Oceánicos correspondientes a los casos IV Guerra Hispano americana y VI Invasión francesa a México Data sets of the project Oceanic Exchanges minicorpus corresponding to case IV American Hispanic War and VI French invasion of Mexico
DOI: 10.5281/zenodo.3451481
title: Intercambios oceánicos Minicorpus

description: Bases de datos de los minicorpus del proyecto Intercambios Oceánicos correspondientes a los casos IV Guerra Hispano americana y VI Invasión francesa a México Data sets of the project Oceanic Exchanges minicorpus corresponding to case IV American Hispanic War and VI French invasion of Mexico
DOI: 10.5281/zenodo.3580214
title: Balmorel input data for comparative modelling of CSP + TES and PVS

description: <strong>Description of the dataset</strong> This dataset holds all Balmorel model input data as well as the Balmorel code used for the scenarios of the paper 'Making the sun shine at night: Comparing Concentrating Solar Power and Photovoltaics with battery storage' submitted to 'Energy Sources, Part B: Economics, Planning, and Policy.' <strong>Data format</strong> We provide the data in form of the data folders holding the .inc files for all scenarios as well as the Balmorel model folder containing the GAMS code. The original Balmorel source code is available under https://github.com/balmorelcommunity/Balmorel under the ISC license. It was adapted in order to include a new technology generating electricity from heat (GETOH). The inputs for this development were kindly supported by DTU and Ea Energy Analyses with previously done works
DOI: 10.5281/zenodo.3580213
title: Balmorel input data for comparative modelling of CSP + TES and PVS

description: <strong>Description of the dataset</strong> This dataset holds all Balmorel model input data as well as the Balmorel code used for the scenarios of the paper 'Making the sun shine at night: Comparing Concentrating Solar Power and Photovoltaics with battery storage' submitted to 'Energy Sources, Part B: Economics, Planning, and Policy.' <strong>Data format</strong> We provide the data in form of the data folders holding the .inc files for all scenarios as well as the Balmorel model folder containing the GAMS code. The original Balmorel source code is available under https://github.com/balmorelcommunity/Balmorel under the ISC license. It was adapted in order to include a new technology generating electricity from heat (GETOH). The inputs for this development were kindly supported by DTU and Ea Energy Analyses with previously done works
DOI: 10.25386/genetics.12486482
title: Supplemental Material for Courtney et al., 2020

description: Table S1. StrainsTable S2. Wild type H3K27me2/3 PeaksTable S3. H2A.Z H3K27me2/3 PeaksTable S4. Overlapping PeaksTable S5. OligosTable S6. Misregulated GenesFigure S1. KaryoplotFigure S2. hH2A.Z phenotypesFigure S3. hH2A.Z complementationFigure S4. strain validationFigure S5. H2A.Z-GFP functional validationFigure S6. H2A.Z antibody validationFigure S7. RNA-seq control
DOI: 10.25386/genetics.12486482.v1
title: Supplemental Material for Courtney et al., 2020

description: Table S1. StrainsTable S2. Wild type H3K27me2/3 PeaksTable S3. H2A.Z H3K27me2/3 PeaksTable S4. Overlapping PeaksTable S5. OligosTable S6. Misregulated GenesFigure S1. KaryoplotFigure S2. hH2A.Z phenotypesFigure S3. hH2A.Z complementationFigure S4. strain validationFigure S5. H2A.Z-GFP functional validationFigure S6. H2A.Z antibody validationFigure S7. RNA-seq control
DOI: 10.17632/rt6dhpx5dp.1
title: Data for: Highly efficient polymer-assisted extraction of palladium from supported catalysts in supercritical carbon dioxide
DOI: 10.3886/e114022
title: Replication data for: The Cost of Reducing Greenhouse Gas Emissions

description: Most countries, including the United States, have an array of greenhouse gas mitigation policies, which provide subsidies or restrictions typically aimed at specific technologies or sectors. Such climate policies range from automobile fuel economy standards, to gasoline taxes, to mandating that a certain amount of electricity in a state comes from renewables, to subsidizing solar and wind electrical generation, to mandates requiring the blending of biofuels into the surface transportation fuel supply, to supply-side restrictions on fossil fuel extraction. This paper reviews the costs of various technologies and actions aimed at reducing greenhouse gas emissions. Our aim is twofold. First, we seek to provide an up-to-date summary of costs of actions that can be taken now using currently available technology. These costs focus on expenditures and emissions reductions over the life of a project compared to some business-as-usual benchmark—for example, replacing coal-fired electricity generation with wind, or weatherizing a home. We refer to these costs as static because they are costs over the life of a specific project undertaken now, and they ignore spillovers. Our second aim is to distinguish between dynamic and static costs and to argue that some actions taken today with seemingly high static costs can have low dynamic costs, and vice versa. We make this argument at a general level and through two case studies, of solar panels and of electric vehicles, technologies whose costs have fallen sharply. Under the right circumstances, dynamic effects will offer a justification for policies that have high costs according to a myopic calculation.
DOI: 10.6092/unibo/amsacta/6426
title: L'ecosistema narrativo di desperate housewives: genere e contenuti attraverso un'analisi qualitativa e quantitativa.

description: Lo scopo di questa tesi è quello di definire un modello dinamico che tenga conto delle possibili evoluzioni di una serie, trattata qui non come testo, bensì come un ecosistema narrativo. Dopo aver tracciato delle linee teoriche che spieghino cosa sia un ecosistema narrativo, prenderemo in prestito gli strumenti dell’analisi qualitativa, in particolar modo, della loop analysis, generalmente utilizzata per indagare gli ecosistemi naturali. In modo specifico, questo lavoro, analizzerà come caso di studio relativo alla serie ABC(2004-2012), Desperate Housewives (stagioni 1-2). Dopo aver esposto le caratteristiche di questo prodotto narrativo, applicheremo i concetti della loop analysis alla narrazione di Desperate, traendone delle considerazioni sull’ibridismo di generi, cui la serie stessa è sottoposta, sperando di rendere evidente, quale genere predomini sull’altro. Per fare questo individueremo delle isotopie presenti all’interno della serie, ovvero i legami del nostro ecosistema. Nello specifico analizzeremo le relazioni tra CP (community plot); SP (sentimental plot); SMP ( season mistery plot) e MMP (minor mistery plot). Dai risultati che ne verranno fuori costruiremo dei modelli di validazione.
DOI: 10.5066/p9gxt1x1
title: Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019

description: This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry to approximately 1.3 kilometers (0.8 miles) offshore. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 m; multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected August 7-11, 2019 using an R2Sonic 2024 sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected August 27-28, 2019 using a CEESCOPE single-beam echosounder and methodology similar to that described by Wilson and Richards (2006). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging (T-LiDAR) technology, 2014-17: U.S. Geological Survey Scientific Investigations Report 2019-5023, 28 p., https://doi.org/10.3133/sir20195023 Richards, J.M. and Huizinga, R.J., 2018, Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017: U.S. Geological Survey Scientific Investigations Map 3409: 1 sheet, https://doi.org/10.3133/sim3409 Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area/Capacity Tables for Small Reservoirs: U.S. Geological Survey Scientific Investigations Report 2006-5208, https://pubs.usgs.gov/sir/2006/5208/. Calder, B.R., and Mayer, L.A., 2003, Automatic processing of high-rate, high-density multibeam echosounder data: Geochemistry, Geophysics, Geosystems (G3), v. 4, no. 6, 22 p. [Also available at https://doi.org/10.1029/2002GC000486.]
DOI: 10.5281/zenodo.3939543
title: Collection of French Novels (ELTeC-fra)

description: TXM annotated binary corpus of the French Novel Collection (ELTeC-fra) in the "European Literary Text Collection" (ELTeC) produced by the COST Action "Distant Reading for European literary History" (CA16204).
DOI: 10.13019/wecz-2w20
title: A Test File

description: this is a test of the publication process
DOI: 10.5281/zenodo.3939565
title: Discrete Flow Cytometry from the Gradients 2016 cruise using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of phytoplankton populations and heterotrophic bacteria from discrete flow cytometry data collected during the Gradients 2016 oceanographic research cruise in the Northeast Pacific Ocean. The analysis includes cell abundance, forward light scatter, and pigment fluorescence of individual cells, including bacteria, picoeukaryotes, and the cyanobacteria Prochlorococcus and Synechococcus. Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
description: This work was supported by grants from the Simons Foundation (#574495 to FR, #329108, #426570SP and #549945 to EVA).
DOI: 10.5281/zenodo.3939577
title: Discrete Flow Cytometry from the Gradients 2017 cruise using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of phytoplankton populations and heterotrophic bacteria from discrete flow cytometry data collected during the Gradients 2017 oceanographic research cruise in the Northeast Pacific Ocean. The analysis includes cell abundance, forward light scatter, and pigment fluorescence of individual cells, including bacteria, picoeukaryotes and the cyanobacteria Prochlorococcus and Synechococcus. Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
description: This work was supported by grants from the Simons Foundation (#574495 to FR, #329108, #426570SP and #549945 to EVA).
DOI: 10.5281/zenodo.3939580
title: Discrete Flow Cytometry from the Gradients 2019 cruise using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of phytoplankton populations and heterotrophic bacteria from discrete flow cytometry data collected during the Gradients 2019 oceanographic research cruise in the Northeast Pacific Ocean. The analysis includes cell abundance, forward light scatter, and pigment fluorescence of individual cells, including bacteria, picoeukaryotes, and the cyanobacteria Prochlorococcus and Synechococcus. Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
description: This work was supported by grants from the Simons Foundation (#574495 to FR, #329108, #426570SP and #549945 to EVA).
DOI: 10.18434/m32261
title: Evaluation of Thermal Optical Analysis Using an Aqueous Binary Mixture

description: This dataset contains measurements of organic carbon, elemental carbon, and total carbon in atmospheric particulate matter with the thermal-optical carbon analyzer. The data are associated with the following publication: C.D. Grimes, J.M. Conny, R.R. Dickerson, 2020, "Evaluation of Thermal-Optical Analysis Using an Aqueous Binary Mixture," Atmospheric Environment, in press. Below is the abstract for the publication.Thermal-Optical Analysis (TOA), a commonly implemented technique used to measure the amount of particulate carbon in the atmosphere or deposited on a filter substrate, distinguishes organic carbon (OC) from elemental carbon (EC) through the monitoring of laser light, heating, and measuring evolved carbon. Here, we present a method to characterize the TOA transmission method with an aqueous binary mixture containing EC and OC that can easily be deposited onto a filter at low volumes. Known amounts of EC and OC were deposited onto a quartz-fiber filter and analyzed with different temperature protocols. Results with the NIST-EPA-C temperature protocol agreed with the reference values to better than 2 % for EC, OC, total carbon (TC), and EC/TC. Uncertainty in TC among all temperature protocols was less than 5 % of the reference value while all protocols had EC/TC ratios with an uncertainty less than 10 %.
DOI: 10.15129/0b19f096-0778-4c8a-b14f-0c00fe8ea3f0
title: Data for "RFSoC QPSK Transceiver"

description: This repo contains all the files needed to build and run the RFSoC QPSK demonstrator that was presented at both FPL and XDF conferences in 2018. The design is a full QPSK transceiver, which transmits and receives randomly-generated pulse-shaped symbols with full carrier and timing synchronisation. PYNQ is used to visualise the data at both the DAC and ADC side of the RFSoC data converters, as well as visualising various DSP stages throughout the transmit and receive signal path.
DOI: 10.5281/zenodo.3939512
title: Extracted sinograms for VQC Phantom: GE SIGNA PET/MR

description: This dataset includes: 1. Extracted Emission Sinogram: sino_f2g1d0b0.hs; sino_f2g1d0b0.s 2. Extracted Randoms Sinogram: randoms.hs; randoms.s 3. Extracted Normalisation Sinogram: normsino.hs; normsino.s 4. Extracted Geometric Sinogram: geo.hs; geo.s 5. Normalisation Complete Sinogram (Normalisation+ Geometric correction effects accounted for in this sinogram): normgeo.hs; normgeo.s
DOI: 10.5281/zenodo.3939511
title: Extracted sinograms for VQC Phantom: GE SIGNA PET/MR

description: This dataset includes: 1. Extracted Emission Sinogram: sino_f2g1d0b0.hs; sino_f2g1d0b0.s 2. Extracted Randoms Sinogram: randoms.hs; randoms.s 3. Extracted Normalisation Sinogram: normsino.hs; normsino.s 4. Extracted Geometric Sinogram: geo.hs; geo.s 5. Normalisation Complete Sinogram (Normalisation+ Geometric correction effects accounted for in this sinogram): normgeo.hs; normgeo.s