cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p90macys
title: Modeling barrier island habitats using landscape position information for Dauphin Island, Alabama

description: Barrier islands provide important ecosystem services, including storm protection and erosion control to the mainland, habitat for fish and wildlife, and tourism (Barbier and others, 2011; Feagin and others, 2010). These islands tend to be dynamic due to their location along the estuarine-marine interface. Besides gradual changes caused by constant forces, such as currents and tides, barrier islands face numerous threats including hurricanes, accelerated sea-level rise, oil spills, and anthropogenic impacts (Pilkey and Cooper, 2014). These threats are likely to influence the future of barrier islands in the latter part of the 21st century, especially as climate-related threats to coastal areas are expected to increase in the future (Knutson and others, 2010; Hansen and others, 2016). As a result, natural resource managers are concerned with monitoring changes to these islands and modeling future states of these environments. Geomorphology regulates many abiotic factors that influence the performance of foundation plant species, including wave energy, salinity, inundation frequency, sea spray, Aeolian transport, and nutrient availability (Young and others, 2011). Researchers have established linkages between barrier island habitats and specific landscape position variables, such as distance from shoreline (Young and others, 2011) and elevation (Anderson and others, 2016; Foster and others, 2017; Halls and others, 2018; Young and others, 2011). Here, we built upon recent barrier island habitat model efforts by Foster and others (2017) and Halls and others (2018) to develop a machine learning-based habitat model for Dauphin Island, Alabama, USA. Our model incorporated elevation uncertainty for elevation-dependent habitat extraction and yields spatially explicit predictions of general barrier island habitats based on landscape position information, such as elevation, distance from shoreline, and relative topography. The habitats that were predicted in this model included: 1) Barrier flat; 2) Beach; 3) Dune; 4) Intertidal beach; 5) Intertidal flat; 6) Intertidal marsh; 7) Water-estuarine; 8) Water-fresh; 9) Water-marine; 10) Woody vegetation; and 11) Woody wetland. Models were developed for three tidal zones: 1) subtidal; 2) intertidal; and 3) supratidal/upland. Deterministic accuracy, fuzzy accuracy, and hindcasting were used for validation. This data release contains data used to develop and validate the machine learning-based habitat model including: 1) final contemporary habitat model results; 2) contemporary habitat model training data per tidal zone; 3) contemporary habitat model predictor variables per tidal zone; 4) contemporary habitat model validation data; 5) final hindcast habitat model results; 6) hindcast habitat predictor variables per tidal zone; and 7) hindcast habitat validation data. For more information, see Enwright and others (2019).
DOI: 10.5066/p9u5hjh9
title: Water temperature data from the Pend Oreille River, Washington and Idaho, 2016-2018

description: The data were collected summer, 2016, 2017, and 2018. Continuous temperature loggers were deployed along the Pend Oreille River between Albeni Falls Dam and the Box Canyon Dam. Loggers were checked every 1-2 weeks throughout the summer.
DOI: 10.25919/5cb8024428875
title: Parkes observations for project P965 semester 2018APRS_02

description: The deployment of the new ultra-wide-band receiver UWL enables a plethora of experiments which were previously not possible or very difficult. One immediate benefit for pulsar timing studies is the significantly increased ratio of available radio frequency bandwidth to the decorrelation bandwidth as induced by the ionised interstellar medium (ISM). PSR J1933-6211 is a strongly-scintillating millisecond pulsar. Due to its scintillation, previous studies failed to measure the mass and orbital parameters of this system and instead provided limits. With the UWL we expect more reliable detection of bright scintles during every observation; and hence improved and reliable timing precision that will allow a mass measurement through Shapiro-Delay detection. As an additional benefit, we can use the broad band to adequately study the scintillation properties of this pulsar and thereby constrain its orbital inclination. 
    The mass of the pulsar is potentially the lowest known, depending on the type of its white dwarf companion. By measuring it we will also determine the type of the white dwarf which is interesting in its own right and is one of the coolest such objects known (Antoniadis, priv. comm.). Finally, we will verify if, as we expect, the precision attainable with the increased bandwidth is sufficient for high-precision pulsar timing and inclusion of PSR J1933-6211 in pulsar timing array experiments.
DOI: 10.5281/zenodo.2644722
title: Feature count data for Love et al. 2019 analysis for "Using equivalence class counts for fast and accurate testing of differential transcript usage" paper

description: Feature count data for Love et al. 2019 analysis used in the "Using equivalence class counts for fast and accurate testing of differential transcript usage" paper. For reproducing the analyses and figures using the ec-dtu-paper code.

Contains:


	Equivalence class count matrix for all 24 samples (using counts from Salmon)
	Salmon quantification results for all 24 samples
	Exon counts for all 24 samples using DEXSeq-count
DOI: 10.5281/zenodo.2644723
title: Feature count data for Love et al. 2019 analysis for "Using equivalence class counts for fast and accurate testing of differential transcript usage" paper

description: Feature count data for Love et al. 2019 analysis used in the "Using equivalence class counts for fast and accurate testing of differential transcript usage" paper. For reproducing the analyses and figures using the ec-dtu-paper code.

Contains:


	Equivalence class count matrix for all 24 samples (using counts from Salmon)
	Salmon quantification results for all 24 samples
	Exon counts for all 24 samples using DEXSeq-count
DOI: 10.5255/ukda-sn-853588
title: Borderlands, brokers and peace building in Sri Lanka and Nepal, qualitative interviews 2015-2018
DOI: 10.7910/dvn/rgkqgi
title: ZCode System

description: Zcode System is a system that works for sports investors. Unlike when you bet on your favorite team, zcode system uses analytics to show the best bet whether the team is winning or losing. The system works void of emotions as they use technology statistics of the various teams since 1999 and the knowledge of human cappers, most of who are sports professionals or expert sports analyzers. The predictions are based on 15 years data and evidence. After you have been given the prediction, you can check the statistics on the members area as the site does not hide any data.
DOI: 10.14469/hpc/5540
title: Co(II)-Tetraphenylporphyrin, quartet, C2v planar Ph, saddle=2, G=-3294.520499

description: Gaussian Calculation
DOI: 10.14469/hpc/5541
title: Co(II)-Tetraphenylporphyrin, +1 triplet, C2 symmetry, planar, opt, -3294.330469 (same as before)

description: Gaussian Calculation
DOI: 10.17632/ttx6hmgpbg.1
title: Data for: A robust optimization technique for analysis of multi-tracer experiments

description: OptSFDM is a multi-tracer data assimilation program that automatically optimizes the single fissure dispersion model (suggested by Maloszewski and Zuber (1985, 1990)) using tracer experiments to estimate the hydrogeological parameters of an aquifer or a double-porosity system.
DOI: 10.17632/gy7gwk98bx.1
title: Data for: Measurement of methane solubility in pure water in equilibrium with hydrate by using high–pressure optical capillary cell
DOI: 10.15468/m8mlby
title: Pollen profile SHE IV, Lough Sheeauns, Connemara, Co. Galway
DOI: 10.5517/ccdc.csd.cc21qxj7
title: CCDC 1898859: Experimental Crystal Structure Determination

description: Related Article: Przemysław Woliński, Agnieszka Kącka-Zych, Błażej Dziuk, Krzysztof Ejsmont, Agnieszka Łapczuk-Krygier, Ewa Dresler|2019|J.Mol.Struct.|1192|27|doi:10.1016/j.molstruc.2019.04.061
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21qxk8
title: CCDC 1898860: Experimental Crystal Structure Determination

description: Related Article: Przemysław Woliński, Agnieszka Kącka-Zych, Błażej Dziuk, Krzysztof Ejsmont, Agnieszka Łapczuk-Krygier, Ewa Dresler|2019|J.Mol.Struct.|1192|27|doi:10.1016/j.molstruc.2019.04.061
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21s7lp
title: CCDC 1900132: Experimental Crystal Structure Determination

description: Related Article: Guoxiong Hua, Junyi Du, Cameron L. Carpenter-Warren, David B. Cordes, Alexandra M. Z. Slawin, J. Derek Woollins|2019|New J.Chem.|43|7035|doi:10.1039/C9NJ01059A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21s7mq
title: CCDC 1900133: Experimental Crystal Structure Determination

description: Related Article: Guoxiong Hua, Junyi Du, Cameron L. Carpenter-Warren, David B. Cordes, Alexandra M. Z. Slawin, J. Derek Woollins|2019|New J.Chem.|43|7035|doi:10.1039/C9NJ01059A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21s7ps
title: CCDC 1900135: Experimental Crystal Structure Determination

description: Related Article: Guoxiong Hua, Junyi Du, Cameron L. Carpenter-Warren, David B. Cordes, Alexandra M. Z. Slawin, J. Derek Woollins|2019|New J.Chem.|43|7035|doi:10.1039/C9NJ01059A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21s7qt
title: CCDC 1900136: Experimental Crystal Structure Determination

description: Related Article: Guoxiong Hua, Junyi Du, Cameron L. Carpenter-Warren, David B. Cordes, Alexandra M. Z. Slawin, J. Derek Woollins|2019|New J.Chem.|43|7035|doi:10.1039/C9NJ01059A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21s7rv
title: CCDC 1900137: Experimental Crystal Structure Determination

description: Related Article: Guoxiong Hua, Junyi Du, Cameron L. Carpenter-Warren, David B. Cordes, Alexandra M. Z. Slawin, J. Derek Woollins|2019|New J.Chem.|43|7035|doi:10.1039/C9NJ01059A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21s7sw
title: CCDC 1900138: Experimental Crystal Structure Determination

description: Related Article: Guoxiong Hua, Junyi Du, Cameron L. Carpenter-Warren, David B. Cordes, Alexandra M. Z. Slawin, J. Derek Woollins|2019|New J.Chem.|43|7035|doi:10.1039/C9NJ01059A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.2644251
title: Random Data Set for TOX Class Assignment

description: This is all for practice
DOI: 10.5281/zenodo.2644252
title: Random Data Set for TOX Class Assignment

description: This is all for practice
DOI: 10.5517/ccdc.csd.cc21s7tx
title: CCDC 1900139: Experimental Crystal Structure Determination

description: Related Article: Guoxiong Hua, Junyi Du, Cameron L. Carpenter-Warren, David B. Cordes, Alexandra M. Z. Slawin, J. Derek Woollins|2019|New J.Chem.|43|7035|doi:10.1039/C9NJ01059A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21s7vy
title: CCDC 1900140: Experimental Crystal Structure Determination

description: Related Article: Guoxiong Hua, Junyi Du, Cameron L. Carpenter-Warren, David B. Cordes, Alexandra M. Z. Slawin, J. Derek Woollins|2019|New J.Chem.|43|7035|doi:10.1039/C9NJ01059A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/c5ozec
title: Pollen profile SHE IV, Lough Sheeauns, Connemara, Co. Galway
DOI: 10.15468/oifxxp
title: Pollen profile SHE IV, Lough Sheeauns, Connemara, Co. Galway
DOI: 10.5063/f14f1p2q
title: Commercial vessel characteristics by year, state, Alaskan census area and city, 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 data is based on commercial vessel licenses which are required for any vessel, boat, ship or other craft which is used for commercial fishing or for aiding or assisting in the performance of any activity related to commercial fishing (including refrigeration, transportation and processing). Data for characteristics of all commercial vessels registered with the CFEC are included in this dataset. Also included is a set of figures showing vessel horsepower through time, for different regions in Alaska.
DOI: 10.5519/qd.3jmyw28v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12 records)
DOI: 10.5281/zenodo.2644419
title: Datasets for Video Synopsis

description: several videos for synopsis research.
DOI: 10.5281/zenodo.2644420
title: Datasets for Video Synopsis

description: several videos for synopsis research.
DOI: 10.5281/zenodo.2644592
title: Inlists for paper: Massive Stellar Mergers as Precursors of Hydrogen-rich Pulsational Pair Instability Supernovae

description: MESA (v10108) inlists for the models shown the "Massive Stellar Mergers as Precursors of Hydrogen-rich Pulsational Pair Instability Supernovae" Letter (1903.02135). The inlists reproduce both the single and merger model.

Contents:

FiducialMergersPPISN.tar.gz


	doubleMass
	evolveMerged
	evolveSingle
	preMSmodel
	README


We also attach the single and merger MESA models at the moment where the central temperature is close to 10^9 K. These models where used to estimate the properties of the star, particularly core and envelope masses, as well as element abundances.


	mergerAtLogTc9.data
	singleAtLogTc9.data
DOI: 10.5281/zenodo.2644593
title: Inlists for paper: Massive Stellar Mergers as Precursors of Hydrogen-rich Pulsational Pair Instability Supernovae

description: MESA (v10108) inlists for the models shown the "Massive Stellar Mergers as Precursors of Hydrogen-rich Pulsational Pair Instability Supernovae" Letter (1903.02135). The inlists reproduce both the single and merger model.

Contents:

FiducialMergersPPISN.tar.gz


	doubleMass
	evolveMerged
	evolveSingle
	preMSmodel
	README


We also attach the single and merger MESA models at the moment where the central temperature is close to 10^9 K. These models where used to estimate the properties of the star, particularly core and envelope masses, as well as element abundances.


	mergerAtLogTc9.data
	singleAtLogTc9.data
DOI: 10.17036/researchdata.aston.ac.uk.00000415
title: Data underpinning article "Effect of short-chain aldehydes on the structure and enzymatic activity of pyruvate kinase"
DOI: 10.17632/9ydzkrht8v.1
title: Data for: Effects of electropulsing treatment on residual stresses of high elastic cobalt-base alloy ISO 5832-7

description: The file entitled “Fig.2 Nano indentation test data” is the nano indentation test data for measuring residual stresses before and after EPT. The file entitled “Fig.4 Tensile test data” is the tensile test data before and after EPT. The file entitled “Fig.6 XRD data” is the XRD data for evaluating the micro strain before and after EPT.
DOI: 10.5281/zenodo.2644597
title: DWD European Weather

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst

Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html

dates and times are UTC.
DOI: 10.5286/isis.e.rb1810804-2
title: Cs mixed cation lead perovskites

description: Organic-inorganic hybrid halide perovskites combine the optoelectronic properties commonly associated with high performance semiconductors with materials synthesis or processing routes involving very simple methods, including solution-based chemistry making them ideal materials for applications in solar cells . Since the first reported hybrid perovskite ( general formula ABX3) methylammonium lead iodide (MAPbI3), many variants have been synthesised, most employing a mixture of cations A+ = MA+/FA+/Cs+, Certified device efficiencies have risen to 22.1% in five years ( higher than commercial silicon based devices) and these "champion" systems contain a mixture of A-type cations.This experiment will determine the detailed structures of the "champion" materials contained within these high efficiency solar cells.
DOI: 10.25582/data.2021-12.2394413/2035546
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2394739/2035547
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2397208/2035548
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2398684/2035549
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2395149/2035550
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2394823/2035551
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2394980/2035552
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2402389/2035553
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2394964/2035554
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2398845/2035555
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2394900/2035556
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2402196/2035557
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2394606/2035558
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2402476/2035559
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2394563/2035560
title: Data for EMSL Project 51127 from December 2021
DOI: 10.6084/m9.figshare.23732853
title: Plan de Mejoramiento de Matemáticas para Grado 2do. 2023

description: Plan de Mejoramiento de Matemáticas para Grado 2do. 2023. Fecha: 14 de julio de 2023. Lugar: Institución Educativa Distrital Manuelita Sáenz.
DOI: 10.6084/m9.figshare.23732778
title: Aporte de la Ética al Proyecto de Aula Grado 2do. 2023

description: Actividad de ética para el desarrollo del proyecto de aula del curso 204, titulado: "Los amigos increíbles y los valores de la bandera de Colombia". Fecha: 21 de julio de 2023. Lugar: Institución Educativa Distrital Manuelita Sáenz.
DOI: 10.6084/m9.figshare.23732787
title: Seguimiento Formativo del Progreso Individual de los Estudiantes en el Proyecto de Aula de Grado 2do. 2023

description: Herramienta que puede ser útil para que cada estudiante autoevalúe su nivel de avance en el Proyecto de Aula del curso 204, titulado: "Los amigos increíbles y los valores de la bandera de Colombia". Fecha: 21 de julio de 2023. Lugar: Institución Educativa Distrital Manuelita Sáenz.
DOI: 10.25582/data.2021-12.2396454/2035561
title: Data for EMSL Project 51127 from December 2021
DOI: 10.6084/m9.figshare.23732748
title: Aporte de las Matemáticas al Proyecto de Aula Grado 2do. 2023

description: Actividad de matemáticas para el desarrollo del proyecto de aula del curso 204, titulado: "Los amigos increíbles y los valores de la bandera de Colombia". Fecha: 21 de julio de 2023. Lugar: Institución Educativa Distrital Manuelita Sáenz.
DOI: 10.6084/m9.figshare.23732739
title: Contribución del Inglés al Proyecto de Aula 2do. Grado 2023

description: Actividad de inglés para el desarrollo del proyecto de aula del curso 204, titulado: "Los amigos increíbles y los valores de la bandera de Colombia". Fecha: 21 de julio de 2023. Lugar: Institución Educativa Distrital Manuelita Sáenz.
DOI: 10.25582/data.2021-12.2394571/2035562
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2399522/2035563
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2401141/2035564
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2392914/2035569
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-11.2388052/2035570
title: Data for EMSL Project 51127 from November 2021
DOI: 10.25582/data.2021-12.2391666/2035571
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2391951/2035572
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2393721/2035573
title: Data for EMSL Project 51127 from December 2021
DOI: 10.25582/data.2021-12.2390505/2035574
title: Data for EMSL Project 51127 from December 2021