cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w2ynp3rhkg.1
title: Data for: Quantifying the uncertainty created by non-transferable model calibrations across climate and land cover scenarios: A case study with SWMM

description: THIS REPOSITORY This repository contains data used in support of the manuscript: "Quantifying the uncertainty created by non-transferable model calibrations across climate and land cover scenarios: A case study with SWMM”. This includes: urban image patterns, SWMM simulations, SVE model outputs, and Python scripts. Detailed SVE model documentation is provided separately on GitHub: https://github.com/octavia-crompton/SVE-R. BACKGROUND This research asked: 1. For a given subcatchment, how much do calibrated k_width and f_idc (width and connected impervious fraction) parameters vary across environmental conditions (given by storm intensity, impervious fractions, and saturated hydraulic conductivity of pervious areas)? 2. How transferable are these parameters, calibrated under one set of environmental conditions, to different environmental conditions? 3. What magnitude of error can arise from the uncertainty in transferability of calibration parameter (or `calibration transfer uncertainty')? METHODS To answer these questions, we calibrated a semi-distributed SWMM model to a distributed model based on the SVE. This process involved (1) conducting a Sobol Sensitivity Analysis of SWMM overland flow parameters; (2) generating urban images with different impervious and pervious patterns for simulation in the SVE; (3) Simulating the urban images directly in the SVE across different soil and storm conditions; (4) Simulating analogous urban patterns in SWMM across the same soil and storm conditions, and varying k_width and f_idc; and (5) compiling the SWMM and SVE outputs to calibrate the k_width and f_idc parameters, plot behavioral parameter space, and calculate their transferability between conditions.
DOI: 10.17632/77sfpx9b74.2
title: Monte Carlo and SBPNN-based critical values for Data Snooping

description: corrMatrix.m: This Matlab function computes the correlation matrix of w-test statistics. KMC.m: This Matlab function computes the critical values for max-w test statistic based on Monte Carlo method. It is needed to run corrMatrix.m befor use it. kNN.m: This Matlab function based on neural networks allows anyone to obtain the desired critical value with good control of type I error. In that case, you need to download file SBPNN.mat and save it in your folder. It is needed to run corrMatrix.m befor use it. SBPNN.mat: MATLAB's flexible network object type (called SBPNN.mat) that allows anyone to obtain the desired critical value with good control of type I error. Examples.txt: File containing examples of both design and covariance matrices in adjustment problems of geodetic networks. rawMC.txt: Monte-Carlo-based critical values for the following signifiance levels: α′= 0.001, α′= 0.01, α′= 0.05, α′= 0.1 and α′= 0.5. The number of the observations (n) were fixed for each α ′with n = 5 to n= 100 by a increment of 5. For each "n" the correlation between the w-tests (ρwi,wj) were also fixed from ρwi,wj = 0.00 to ρwi,wj = 1.00, by increment of 0.1, considering also taking into account the correlation ρwi,wj = 0.999. For each combination of α′,"n" and ρwi,wj, m= 5,000,000 Monte Carlo experiments were run.
DOI: 10.17632/g8wrxkbzpg.1
title: WRF-Chem sensitivity to biogenic emission inventories in a tropical region. Global online model (MEGAN) vs local offline model (BIGA)

description: This dataset presents two NetCDF files with three-dimensional and four-dimensional gridded values of meteorological and air quality variables obtained through simulation using the WRF-Chem version 3.7 model. The files present the results of two air quality simulations performed for a region in the tropical Andes, each one using a different biogenic emission inventory. In addition, the dataset contains the information needed to replicate the elaboration of the local emission inventory using the BIGA, and the gridded anthropogenic and biogenic emission inventories employed for simulation.
DOI: 10.5066/p96zb0ek
title: Net coal thickness isopachs, Ferris 23, 25, 31, 50 and 65 coal zones, Hanna Basin Wyoming (fer*catg)

description: These ArcView shapefiles contain representations of the net coal thickness in the Ferris 23, 25, 31, 50 and 65 coal zones in the Ferris coalfield, Hanna Basin, Wyoming. These datasets were created specifically for the National Coal Resource Assessment in the Northern Rocky Mountains and Great Plains Region.
DOI: 10.5066/p9l7jpy4
title: Non-native marine fishes in Florida: updated checklist, population status and early detection/rapid response data

description: It has been ten years since the last comprehensive assessment of non-native marine fishes in Florida. Herein, we report sightings of 41 species from Florida coastal waters since the earliest sighting in 1984.
DOI: 10.24341/tethys.6
title: Geodaten - Blatt 71 Ybbsitz (1:50:000)
title: Geodata - sheet 71 Ybbsitz (1:50:000)

description: Die Geodaten wurden aus dem Kartenwerk GK50 „Geologische Karte der Republik Österreich 1:50.000“ abgeleitet. Die Datengrundlage basiert auf einer umfassenden Datenerhebung im Rahmen der gesetzlich verankerten geologischen Landesaufnahme von Österreich, welche eine umfangreiche Literaturrecherche, die Geländekartierung, sowie die Probenahme mit wissenschaftlichen Analysen und Messungen beinhaltet. Die im BMN-Blattschnitt veröffentlichten Geodaten entsprechen dem aktuellen Wissensstand zum Zeitpunkt des Kartendruckes und können geringfügig von den Originalen abweichen.
description: Die vorliegende Datenpublikation ist ein Bestandteil der Kartenserie „Geologische Karte der Republik Österreich 1:50.000“ (GK50), die im Zeitraum zwischen 1977 und 2017 veröffentlicht wurden und aus insgesamt 89 Geodatensätzen besteht. Eine ausführliche Datenbeschreibung wird mit den Kartendaten bereitgestellt und kann direkt zu jeder Publikation heruntergeladen werden.
description: This data publication is part of the map series "Geological Map of the Republic of Austria 1:50.000" (GK50), published between 1977 and 2017 consisting of 89 spatial data sets. A detailed data description is provided with the map data and can be downloaded together with the data publication.
DOI: 10.5066/p9fh0d9p
title: Unioned layers for the Ferris 23, 25, 31, 50 and 65 coal zones, Hanna Basin, Wyoming (fer*fing)

description: These ArcView shapefiles contain representations of numerous themes associated with the Ferris coal zones in the Ferris coalfield, Hanna Basin, Wyoming. The purpose of these shapefiles is to allow for multiple theme queries. These datasets were created specifically for the National Coal Resource Assessment in the Northern Rocky Mountains and Great Plains Region.
DOI: 10.24341/tethys.7
title: Geodaten - Blatt 7 Groß Siegharts (1:50:000)
title: Geodata - sheet 7 Groß Siegharts (1:50:000)

description: Die Geodaten wurden aus dem Kartenwerk GK50 „Geologische Karte der Republik Österreich 1:50.000“ abgeleitet. Die Datengrundlage basiert auf einer umfassenden Datenerhebung im Rahmen der gesetzlich verankerten geologischen Landesaufnahme von Österreich, welche eine umfangreiche Literaturrecherche, die Geländekartierung, sowie die Probenahme mit wissenschaftlichen Analysen und Messungen beinhaltet. Die im BMN-Blattschnitt veröffentlichten Geodaten entsprechen dem aktuellen Wissensstand zum Zeitpunkt des Kartendruckes und können geringfügig von den Originalen abweichen.
description: Die vorliegende Datenpublikation ist ein Bestandteil der Kartenserie „Geologische Karte der Republik Österreich 1:50.000“ (GK50), die im Zeitraum zwischen 1977 und 2017 veröffentlicht wurden und aus insgesamt 89 Geodatensätzen besteht. Eine ausführliche Datenbeschreibung wird mit den Kartendaten bereitgestellt und kann direkt zu jeder Publikation heruntergeladen werden.
description: This data publication is part of the map series "Geological Map of the Republic of Austria 1:50.000" (GK50), published between 1977 and 2017 consisting of 89 spatial data sets. A detailed data description is provided with the map data and can be downloaded together with the data publication.
DOI: 10.5066/p9m010jv
title: Volatile Organic Compound and Other Analyses Associated with Laboratory Microcosm Experiments to Determine Biodegradation Rates in Fractured Sedimentary Rock at the Former Naval Air Warfare Center in West Trenton, New Jersey, 2016–18

description: This metadata record presents analytical results for laboratory microcosms conducted during 2016-18 as part of a study to develop a field test and numerical interpretation method to determine the effective diffusion coefficients and sorption coefficients of trichloroethene (TCE) and daughter products in the rock matrix of sedimentary rock, as well as biodegradation rate coefficients in the borehole. The biodegradation rate coefficients in the borehole are an important component of defining the back-diffusion of TCE from the matrix of sedimentary rock. Microcosm experiments were conducted with microbial community samples and groundwater collected from boreholes in the field test area to define anaerobic biodegradation rates of TCE and trichlorofluoroethene, a reactive analog for TCE that was used in the field tracer tests. Included in the dataset are (1) a description of the treatments for 6 sets of microcosm experiments that were conducted, (2) volatile organic compound concentrations measured in water from the 6 sets of microcosm experiments, (3) volatile organic compound concentrations measured in select sediment samples from one microcosm experiment, and (4) dissolved gases and iron concentrations measured in select sets of microcosm experiments.
DOI: 10.24341/tethys.8
title: Geodaten - Blatt 9 Retz (1:50:000)
title: Geodata - sheet 9 Retz (1:50:000)

description: Die Geodaten wurden aus dem Kartenwerk GK50 „Geologische Karte der Republik Österreich 1:50.000“ abgeleitet. Die Datengrundlage basiert auf einer umfassenden Datenerhebung im Rahmen der gesetzlich verankerten geologischen Landesaufnahme von Österreich, welche eine umfangreiche Literaturrecherche, die Geländekartierung, sowie die Probenahme mit wissenschaftlichen Analysen und Messungen beinhaltet. Die im BMN-Blattschnitt veröffentlichten Geodaten entsprechen dem aktuellen Wissensstand zum Zeitpunkt des Kartendruckes und können geringfügig von den Originalen abweichen.
description: Die vorliegende Datenpublikation ist ein Bestandteil der Kartenserie „Geologische Karte der Republik Österreich 1:50.000“ (GK50), die im Zeitraum zwischen 1977 und 2017 veröffentlicht wurden und aus insgesamt 89 Geodatensätzen besteht. Eine ausführliche Datenbeschreibung wird mit den Kartendaten bereitgestellt und kann direkt zu jeder Publikation heruntergeladen werden.
description: This data publication is part of the map series "Geological Map of the Republic of Austria 1:50.000" (GK50), published between 1977 and 2017 consisting of 89 spatial data sets. A detailed data description is provided with the map data and can be downloaded together with the data publication.
DOI: 10.6084/m9.figshare.14787657
title: out013.sas7bdat

description: hi, try
DOI: 10.6084/m9.figshare.14787657.v1
title: out013.sas7bdat

description: hi, try
DOI: 10.25345/c5kg0m
title: MassIVE MSV000087633 - Cooperation of chromatin remodeling SWI/SNF complex and pioneer factor AP-1 shapes 3D enhancer landscapes
title: The mechanism controlling the dynamic targeting of SWI/SNF has long been postulated to be coordinated by transcription factors (TFs), yet identifying and demonstrating the influence of different TFs has proven difficult. In this study we take a multi-omics approach to directly interrogate transient SWI/SNF interactors, chromatin targeting, and the plasticity of the resulting 3D epigenetic landscape. We utilized the novel proximity based labeling technique TurboID to map the SWI/SNF interactome. We identified the AP-1 family members as a critical interacting partner for endogenous SWI/SNF complexes. Validation through CUT&RUN profiling demonstrated SWI/SNF targeting enrichment at AP-1 bound loci, and SWI/SNF - AP-1 cooperation in chromatin targeting. Mapping of 3D chromatin structure via HiChIP revealed AP-1-SWI/SNF dependent restructuring of promoter-enhancer architecture and generation of enhancer hubs, ultimately regulating transcription. Through direct interrogation of the SWI/SNF - AP-1 interaction, we demonstrate a SWI/SNF functional dependency on AP-1 mediated chromatin localization. We propose that pioneer factors, such as AP-1, bind and target SWI/SNF to inactive chromatin, where it restructures the genomic landscape into an active state through epigenetic rewiring spanning multiple dimensions.
DOI: 10.6073/pasta/dcab08d96c28563f04a5562cd11cf49e
title: AGW02 Measurement of groundwater physical and chemical properties from wells in contrasting land uses near Kings Creek, Konza Prairie

description: Wells were drilled in two sites on Konza Prairie Biological Station in April, 1993 approximately 100 m from Kings Creek. The two sites are located in a grassland and an agricultural area. The grassland site (K01A) is an old field that was planted with brome sometime prior to 1976. It has not been grazed for 25 years and is burned in spring every 1-2 years. The agricultural site is currently under a mix of cultivation and restoration plots. Historically, it was cultivated from sometime between 1939 and 1950 to the present. It is approximately 1 km downstream in an area geologically similar to K01A. The soil at both sites is mapped as Reading silt loam (fine, mixed, mesic Typic Arguidolls). Samples are taken monthly by PVC bailer following removal of 2 times the well volume. Samples are analyzed with same methods as used for LTER stream water chemistry.
DOI: 10.6073/pasta/41db28517b5d2c9c397426124d06a1de
title: CGR02 Sweep sampling of Grasshoppers on Konza Prairie LTER watersheds

description: Sweep samples were taken for grasshoppers (Acrididae) at two sites for each of 14 Konza Prairie LTER watersheds. Samples are taken in late July to early August. At each site on each occasion, 10 sets of 20 sweeps (200 sweeps total) are taken. Stored data include for each site on each occasion: total number of each species (all instars combined) collected and total number for each instar for each species (200 sweeps combined).
DOI: 10.6084/m9.figshare.14787669
title: Rusche.HeatStress_Mitigation_Survey.xlsx

description: Survey questions and responses from participants in a heat stress mitigation survey conducted in 2018 in Minnesota, South Dakota, and Nebraska USA.
DOI: 10.6084/m9.figshare.14787669.v1
title: Rusche.HeatStress_Mitigation_Survey.xlsx

description: Survey questions and responses from participants in a heat stress mitigation survey conducted in 2018 in Minnesota, South Dakota, and Nebraska USA.
DOI: 10.5281/zenodo.4959837
title: Fault detection power of unit and system testing in Java pen-source projects - data additional to thesis

description: Data collected and analysed by the student for the aforementioned thesis project "Fault detection power of unit and system testing in Java open-source projects"
DOI: 10.5281/zenodo.4959836
title: Fault detection power of unit and system testing in Java pen-source projects - data additional to thesis

description: Data collected and analysed by the student for the aforementioned thesis project "Fault detection power of unit and system testing in Java open-source projects"
DOI: 10.6073/pasta/93a9d9209f65642dea7e934d32e84cf8
title: PAB05 Aboveground net primary productivity of tallgrass prairie based on accumulated plant biomass on the LTER fire reversal experiment watersheds

description: Data set contains estimates of end-of-season standing crop biomass (grams per square meter) of live graminoids, forbs, woody plants, and previous year's dead vegetation for 2 soil types (shallow and deep) on the four Fire Reversal Experiment watersheds. This experiment is based on reversing fire treatments on four watersheds, two of which had a history of annual spring burning and two of which had a history of long-term fire suppression. The dataset includes both pre- and post-fire treatments.
DOI: 10.15468/pxer29
title: Onthophagus pilauco sp. nov. (Coleoptera, Scarabaeidae): evidence of beetle extinction in the Pleistocene-Holocene transition in Chilean Northern Patagonia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tello, Francisco, Verdu, Jose R., Rossini, Michele, Zunino, Mario (2021): Onthophagus pilauco sp. nov. (Coleoptera, Scarabaeidae): evidence of beetle extinction in the Pleistocene-Holocene transition in Chilean Northern Patagonia. ZooKeys 1043: 133-145, DOI: http://dx.doi.org/10.3897/zookeys.1043.61706, URL: http://dx.doi.org/10.3897/zookeys.1043.61706
DOI: 10.15468/nk5meb
title: Taxonomy of three species of the genus Spinoncaea (Copepoda, Oncaeidae) in the North Pacific Ocean with focus on morphological variability

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cho, Kyuhee, Park, Chailinn, Boettger-Schnack, Ruth (2021): Taxonomy of three species of the genus Spinoncaea (Copepoda, Oncaeidae) in the North Pacific Ocean with focus on morphological variability. ZooKeys 1043: 147-191, DOI: http://dx.doi.org/10.3897/zookeys.1043.64438, URL: http://dx.doi.org/10.3897/zookeys.1043.64438
DOI: 10.5517/ccdc.csd.cc2534bs
title: CCDC 1999014: Experimental Crystal Structure Determination

description: Related Article: sudershan gondi|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc258flh
title: CCDC 2004106: Experimental Crystal Structure Determination

description: Related Article: Sudershan Reddy Gondi|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2590r8
title: CCDC 2004669: Experimental Crystal Structure Determination

description: Related Article: Sudershan Reddy Gondi|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2590q7
title: CCDC 2004668: Experimental Crystal Structure Determination

description: Related Article: Sudershan Reddy Gondi|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qrrg
title: CCDC 2047666: Experimental Crystal Structure Determination

description: Related Article: Guangwu Zhang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rc4h
title: CCDC 2048236: Experimental Crystal Structure Determination

description: Related Article: Guangwu Zhang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rc5j
title: CCDC 2048237: Experimental Crystal Structure Determination

description: Related Article: Guangwu Zhang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27271m
title: CCDC 2057719: Experimental Crystal Structure Determination

description: Related Article: Guangwu Zhang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27mmbv
title: CCDC 2074437: Experimental Crystal Structure Determination

description: Related Article: Vikesh Kumar Jha, Sanghamitra Das, Vasudevan Subramaniyan, Tapas Guchhait, Kishan Kumar Dakua, Sabyashachi Mishra, Ganesan Mani|2021|Dalton Trans.|50|8036|doi:10.1039/D1DT01091C
DOI: 10.5517/ccdc.csd.cc26wgdz
title: CCDC 2052181: Experimental Crystal Structure Determination

description: Related Article: Jiaxin Li, Jinkai Xu, Linbo Yan, Changsheng Lu, Hong Yan|2021|Dalton Trans.|50|8029|doi:10.1039/D1DT00233C
DOI: 10.5517/ccdc.csd.cc26wgcy
title: CCDC 2052180: Experimental Crystal Structure Determination

description: Related Article: Jiaxin Li, Jinkai Xu, Linbo Yan, Changsheng Lu, Hong Yan|2021|Dalton Trans.|50|8029|doi:10.1039/D1DT00233C
DOI: 10.5517/ccdc.csd.cc27mzd8
title: CCDC 2074780: Experimental Crystal Structure Determination

description: Related Article: Renyou Yu, Yongjun Song, Mengzhen Chen, Lei He|2021|Dalton Trans.|50|8084|doi:10.1039/D1DT01320C
DOI: 10.5517/ccdc.csd.cc27ntqg
title: CCDC 2075596: Experimental Crystal Structure Determination

description: Related Article: Yun Xiong, Shenglai Yao, Ales Ruzicka, Matthias Driess|2021|Chem.Commun.|57|5965|doi:10.1039/D1CC01939B
DOI: 10.5517/ccdc.csd.cc27ntrh
title: CCDC 2075597: Experimental Crystal Structure Determination

description: Related Article: Yun Xiong, Shenglai Yao, Ales Ruzicka, Matthias Driess|2021|Chem.Commun.|57|5965|doi:10.1039/D1CC01939B
DOI: 10.5517/ccdc.csd.cc27ntsj
title: CCDC 2075598: Experimental Crystal Structure Determination

description: Related Article: Yun Xiong, Shenglai Yao, Ales Ruzicka, Matthias Driess|2021|Chem.Commun.|57|5965|doi:10.1039/D1CC01939B
DOI: 10.5517/ccdc.csd.cc27nttk
title: CCDC 2075599: Experimental Crystal Structure Determination

description: Related Article: Yun Xiong, Shenglai Yao, Ales Ruzicka, Matthias Driess|2021|Chem.Commun.|57|5965|doi:10.1039/D1CC01939B
DOI: 10.5517/ccdc.csd.cc27ntvl
title: CCDC 2075600: Experimental Crystal Structure Determination

description: Related Article: Yun Xiong, Shenglai Yao, Ales Ruzicka, Matthias Driess|2021|Chem.Commun.|57|5965|doi:10.1039/D1CC01939B
DOI: 10.5517/ccdc.csd.cc23pdhq
title: CCDC 1956983: Experimental Crystal Structure Determination

description: Related Article: Tamilarasan Ajaykamal, Mitu Sharma, Nasreen S. Islam, Mallayan Palaniandavar|2021|Dalton Trans.|50|8045|doi:10.1039/D1DT00299F
DOI: 10.5517/ccdc.csd.cc277ss2
title: CCDC 2063074: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc273bd3
title: CCDC 2058784: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc249rv2
title: CCDC 1975594: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc249rt1
title: CCDC 1975593: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc249rz6
title: CCDC 1975598: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc22106c
title: CCDC 1907591: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc22107d
title: CCDC 1907592: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc2742vb
title: CCDC 2059511: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc2742wc
title: CCDC 2059512: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc27tj0m
title: CCDC 2080100: Experimental Crystal Structure Determination

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