cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4266199
title: Dataset - A lung-on-chip model reveals an essential role for alveolar epithelial cells in controlling bacterial growth during early M. tuberculosis infection

description: Description of the sub-folders<br> Name, type of data, corresponding Figure in the manuscript<br> 3D view of the LoC model - .tiff image stack, Figure 1. Bacterial Growth Rate Data - .tiff image stacks, .csv files and MATLAB code to extract the fluorescence intensity over time, Figure 2, Figure 2 - figure supplement 2, Figure 2 - figure supplement 4, Figure 3, Figure 3 - figure supplement 2, Figure 4. AT Characterization - .tiff image stacks and MATLAB code to extract the number and volume of lamellar bodies from the stack of confocal images, Figure 1, Figure 1 - figure supplement 1, Figue 1 - figure supplement 2. AT Infection in LoC model - .tiff image stacks, Figure 2 - figure supplement 1. AT Infection in vivo - .tiff image stacks, Figure 1 - figure supplement 3. Simulations of in vivo infections - .dat files of growth rates in macrophages for the WT and ESX-1 deficient populations and MATLAB code to simulate an infection from this data, Figure 4.
description: Human Frontier Science Program (HFSP): Vivek V Thacker, Long-Term Fellowship,LT000231/2016-L; European Molecular Biology Organization (EMBO): Vivek V Thacker, Long-Term Fellowship,921-2015;
DOI: 10.5281/zenodo.4266198
title: Dataset - A lung-on-chip model reveals an essential role for alveolar epithelial cells in controlling bacterial growth during early M. tuberculosis infection

description: Description of the sub-folders<br> Name, type of data, corresponding Figure in the manuscript<br> 3D view of the LoC model - .tiff image stack, Figure 1. Bacterial Growth Rate Data - .tiff image stacks, .csv files and MATLAB code to extract the fluorescence intensity over time, Figure 2, Figure 2 - figure supplement 2, Figure 2 - figure supplement 4, Figure 3, Figure 3 - figure supplement 2, Figure 4. AT Characterization - .tiff image stacks and MATLAB code to extract the number and volume of lamellar bodies from the stack of confocal images, Figure 1, Figure 1 - figure supplement 1, Figue 1 - figure supplement 2. AT Infection in LoC model - .tiff image stacks, Figure 2 - figure supplement 1. AT Infection in vivo - .tiff image stacks, Figure 1 - figure supplement 3. Simulations of in vivo infections - .dat files of growth rates in macrophages for the WT and ESX-1 deficient populations and MATLAB code to simulate an infection from this data, Figure 4.
description: Human Frontier Science Program (HFSP): Vivek V Thacker, Long-Term Fellowship,LT000231/2016-L; European Molecular Biology Organization (EMBO): Vivek V Thacker, Long-Term Fellowship,921-2015;
DOI: 10.5281/zenodo.5818485
title: Full margin Cascadia earthquake models

description: Rupture models for full margin Cascadia earthquakes. Companion data set tot he paper "Deep Coseismic Slip in the Cascadia Megathrust can be Consistent with Coastal Subsidence " ublished in Geophysical Research Letters. This updated version also includes the static offsets at the coastline for each rupture.
DOI: 10.5281/zenodo.5397278
title: Full margin Cascadia earthquake models

description: Rupture models for full margin Cascadia earthquakes. Companion data set tot he paper "Deep Coseismic Slip in the Cascadia Megathrust can be Consistent with Coastal Subsidence " ublished in Geophysical Research Letters. This updated version also includes the static offsets at the coastline for each rupture.
DOI: 10.6073/pasta/e3ff85971d817e9898bb8a83fb4c3a8b
title: Madison Wisconsin Daily Meteorological Data 1869 - current

description: Daily air temperature, precipitation and snow depth data for Madison from 1869. For a full description of data prior to 1987 see Robertson, 1989 (Ph.D. Thesis). Raw data (in English units) prior to 1977 were assembled by Douglas Clark - Wisconsin State Climatologist. Data were converted to metric units and adjusted for temporal biases by Dale M. Robertson. Adjusted data represent the BEST estimated daily data and may be raw data. Daily temperature data prior to 1884 were estimated from 3 times per day sampling and biases are expected and should not be comparable with data after that time. For adjustments applied to various parameters see Robertson, 1989 Ph.D. Thesis UW-Madison. Douglas Clark had assembled and adjusted 1948 to 1977 data for his own research earlier. Data from 1989 to 1995 obtained from CD's at the Wis. State Climatologists Office. Air Temp adjusted to data at Truax Field. Data collected at Bascom Hall, 1-1-1869 to 9-30-1878. Data collected at North Hall, 10-1-1904 to 12-31-1947. Data collected at Browns Block, 10-1-1878 to 4-31-1883. Data collected at Truax Field (Admin BLDG), 1-1-1948 to 12-31-195. Data collected at North Hall, 5-1-1883 to 7-31-1883. Data collected at Truax Field (Center of Field), 1-1-1960 to Present. Data collected at Washburn observatory, 8-1-1883 to 9-30-1904. Wind data collected at Truax from 1-1-1947 to Present. Much of the data after 1990 were obtained in digital form from Ed Hopkins, UW-Meteorology Sampling Frequency: daily values Number of sites: 1
DOI: 10.6084/m9.figshare.17019668
title: Data as displayed in Fig 2

description: This dataset includes example measurements of a human, a juvenile grey seal and a bottlenose dolphin from NIRS recordings of respiration and heart beats as shown in Fig. 2 of "Near-Infrared Spectroscopy as a Tool for Marine Mammal Research and Care" submitted in Frontiers in Physiology - Physio-logging, Research Topic: Methods and Applications in Physio-logging on 11/17/2021.<br><br>Oxygenated hemoglobin derived from the raw light intensity measured by NIRS are denoted as hum_o, seal_o and dolphin_o for Human, seal, and dolphin data, respectively. deoxygenated data is indexed with "_d" and the time axis is indexed with "_t". <br><br>Human experiments were conducted after the participant provided informed voluntary consent. All procedures were approved by the Carnegie Mellon University Institutional Review Board (STUDY2015_00000113).<br>Procedures for capture, handling and housing of grey seals conformed to the Animals (Scientific Procedures) Act 1986, under the Sea Mammal Research Units’ Home Office license (no. 70/7806) and were performed by personnel deemed competent under EU directive.<br> The dolphin experiment was approved by the Oceanogràfic Animal Care & Welfare Committee at the Fundación Oceanogràfic Valencia, Spain (OCE-10-20), and the Bureau of Medicine (BUMED, NRD1170).<br> <br>
DOI: 10.6084/m9.figshare.17019668.v2
title: Data as displayed in Fig 2

description: This dataset includes example measurements of a human, a juvenile grey seal and a bottlenose dolphin from NIRS recordings of respiration and heart beats as shown in Fig. 2 of "Near-Infrared Spectroscopy as a Tool for Marine Mammal Research and Care" submitted in Frontiers in Physiology - Physio-logging, Research Topic: Methods and Applications in Physio-logging on 11/17/2021.<br><br>Oxygenated hemoglobin derived from the raw light intensity measured by NIRS are denoted as hum_o, seal_o and dolphin_o for Human, seal, and dolphin data, respectively. deoxygenated data is indexed with "_d" and the time axis is indexed with "_t". <br><br>Human experiments were conducted after the participant provided informed voluntary consent. All procedures were approved by the Carnegie Mellon University Institutional Review Board (STUDY2015_00000113).<br>Procedures for capture, handling and housing of grey seals conformed to the Animals (Scientific Procedures) Act 1986, under the Sea Mammal Research Units’ Home Office license (no. 70/7806) and were performed by personnel deemed competent under EU directive.<br> The dolphin experiment was approved by the Oceanogràfic Animal Care & Welfare Committee at the Fundación Oceanogràfic Valencia, Spain (OCE-10-20), and the Bureau of Medicine (BUMED, NRD1170).<br> <br>
DOI: 10.6084/m9.figshare.17019668.v1
title: Data as displayed in Fig 2

description: This dataset includes example measurements of a human, a juvenile grey seal and a bottlenose dolphin from NIRS recordings of respiration and heart beats as shown in Fig. 2 of "Near-Infrared Spectroscopy as a Tool for Marine Mammal Research and Care" submitted in Frontiers in Physiology - Physio-logging, Research Topic: Methods and Applications in Physio-logging on 11/17/2021.<br><br>Oxygenated hemoglobin derived from the raw light intensity measured by NIRS are denoted as hum_o, seal_o and dolphin_o for Human, seal, and dolphin data, respectively. deoxygenated data is indexed with "_d" and the time axis is indexed with "_t". <br><br>Human experiments were conducted after the participant provided informed voluntary consent. All procedures were approved by the Carnegie Mellon University Institutional Review Board (STUDY2015_00000113).<br>Procedures for capture, handling and housing of grey seals conformed to the Animals (Scientific Procedures) Act 1986, under the Sea Mammal Research Units’ Home Office license (no. 70/7806) and were performed by personnel deemed competent under EU directive.<br> The dolphin experiment was approved by the Oceanogràfic Animal Care & Welfare Committee at the Fundación Oceanogràfic Valencia, Spain (OCE-10-20), and the Bureau of Medicine (BUMED, NRD1170).<br> <br>
DOI: 10.6073/pasta/96451b76ce30c4658a556d44af66a8b0
title: North Temperate Lakes LTER: Benthic Macroinvertebrates 1981 - current

description: Macroinvertebrates are collected from selected shoreline and deep water locations in the seven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes, and unnamed lakes 27-02 [Crystal Bog], and 12-15 [Trout Bog]) in the Trout Lake area using modified Hester-Dendy samplers. Samplers are placed at fyke net and gill net locations in August and retrieved 3-4 weeks later. Macroinvertebrates are preserved in ethanol. This dataset contains counts of various groups of macroinvertebrates identified from specific samples. The majority of the identifications are at the genus level. The data table "Benthic Macroinvertebrate Codes" identifies the taxonomic group represented by each group code. Taxonomic references: Ecology and Classification of North American Freshwater Invertebrates, Edited by James H Thorp and Alan P Covich, Academic Press, Inc, 1991; Aquatic Insects of Wisconsin, William L Hilsenhoff, Natural History Museums Council, University of Wisconsin-Madison (1995). Sampling Frequency: annually Number of sites: 7
DOI: 10.6073/pasta/d27934ab6b92b569604c8c2cd161b3cd
title: North Temperate Lakes LTER: Pelagic Macroinvertebrate Abundance 1983 - current

description: Five vertical tows are done at the deepest point of each of the seven primary lakes in the Trout Lake area (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes and bog lakes 27-02 [Crystal Bog], and 12-15 [Trout Bog]) using a 1-mm mesh net with a 1-m wide mouth. On Trout Lake four additional sites are sampled, where depths are approximately at 10 m, 15 m, 20 m, and 25 m respectively, with three tows done at each site. All samples are taken in darkness. Samples are preserved and counted, yielding numbers caught. These night tows target the large invertebrate planktivore component of the pelagic zooplankton community. Sampling Frequency: annually Number of sites: 11
DOI: 10.6084/m9.figshare.17863028
title: Raw Data

description: The raw data of “ING2, a tumor suppressor, is negatively regulated by an oncogenic miRNA miR-150 in NSCLC”<br>
DOI: 10.6084/m9.figshare.17863028.v1
title: Raw Data

description: The raw data of “ING2, a tumor suppressor, is negatively regulated by an oncogenic miRNA miR-150 in NSCLC”<br>
DOI: 10.6073/pasta/7c6938ff0808eaf305da0d48d6ad0099
title: North Temperate Lakes LTER: Fish Species Richness 1981 - current

description: This data set is a derived data set based on fish catch data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow, or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples four littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Species richness for a lake is the number of fish species caught in that lake during the annual fish sampling. Hybrids captured are only included in the richness value if neither of the two hybridized species are caught in the lake that year. Fish idenitified only to genus or higher taxonomic level are not included if any fish identified to species within that genus or higher taxonomic level are caught. E.g., Unidentified Chub would be only included in the richness value if no other chub is caught in that lake that year. Sampling Frequency: annually Number of sites: 11
DOI: 10.6073/pasta/f28e278afc34f1b7bd4f3cdc02b733a2
title: North Temperate Lakes LTER: Chlorophyll - Madison Lakes Area 1995 - current

description: Chlorophyll is measured at our permanent sampling station in the deepest part of the lake. Chlorophyll samples are collected from the four primary study lakes in the Madison area (Lakes Mendota, Monona, and Wingra and Fish Lake) at integrated depths and discrete depths for spectrophotometric analysis and fluorometric analysis. Due to a change in instruments starting in 2002 and lasting through 2007, chlorophyll analyses for the southern lakes had an uncorrectable bias, and are not included in this dataset. Analyses since then (2008 onward) have been determined to not have this bias. Sampling Frequency: bi-weekly during ice-free season from late March or early April through early September, then every 4 weeks through late November; sampling is conducted usually once during the winter (depending on ice conditions). Number of sites: 4
DOI: 10.6073/pasta/a736ade04c0faf57868c38fa3dba5abb
title: Spatial variability in water chemistry of four Wisconsin aquatic ecosystems - High speed limnology Environmental Science and Technology datasets

description: Advanced sensor technology is widely used in aquatic monitoring and research. Most applications focus on temporal variability, whereas spatial variability has been challenging to document. We assess the capability of water chemistry sensors embedded in a high-speed water intake system to document spatial variability. We developed a new sensor platform to continuously samples surface water at a range of speeds (0 to &gt; 45 km hr-1) resulting in high-density, meso-scale spatial data. Here, we archive data associated with an Environmental Science and Technology publication. Data include a single spatial survey of the following aquatic ecosystems: Lake Mendota, Allequash Creek, Pool 8 of the Upper Mississippi River, and Trout Bog. Data have been provided in three formats (raw, hydraulic-corrected, and tau-corrected).
DOI: 10.6084/m9.figshare.17850590
title: SMEs filing for bankruptcy in Spain: The best of luck!

description: Stata file database of the article, which along with the sintax helps to replicate the descriptive statistics and the logit regressions of the article.
DOI: 10.6084/m9.figshare.17850590.v1
title: SMEs filing for bankruptcy in Spain: The best of luck!

description: Stata file database of the article, which along with the sintax helps to replicate the descriptive statistics and the logit regressions of the article.
DOI: 10.3886/e158501
title: The patterns of adolescents’ math and science motivational beliefs: Examining within-racial/ethnic group changes and their relations to STEM outcomes

description: The racial/ethnic disparities and average declines in STEM (science, technology, engineering, mathematics) motivation during adolescence are worrisome. Although STEM motivational beliefs are theorized to function in conjunction with one another, the unique patterns and how they change over time for different racial/ethnic groups remain understudied. Using data from the High School Longitudinal Study (N=18,260), we identified four and five patterns of math and science motivational beliefs in 9th and 11th grade, respectively, and examined their prevalence among Asian, Black, Latina/o, White, and Multiracial adolescents. We found patterns with overall high/low beliefs, patterns with varying levels of motivational beliefs, and patterns characterized by domain differentiation. Then, we charted the stability and changes in those patterns from 9th to 11th grade for each racial/ethnic group, and how the patterns at 11th grade were associated with adolescents’ STEM career expectations and high school math and science GPAs.
DOI: 10.3886/e158501v1
title: The patterns of adolescents’ math and science motivational beliefs: Examining within-racial/ethnic group changes and their relations to STEM outcomes

description: The racial/ethnic disparities and average declines in STEM (science, technology, engineering, mathematics) motivation during adolescence are worrisome. Although STEM motivational beliefs are theorized to function in conjunction with one another, the unique patterns and how they change over time for different racial/ethnic groups remain understudied. Using data from the High School Longitudinal Study (N=18,260), we identified four and five patterns of math and science motivational beliefs in 9th and 11th grade, respectively, and examined their prevalence among Asian, Black, Latina/o, White, and Multiracial adolescents. We found patterns with overall high/low beliefs, patterns with varying levels of motivational beliefs, and patterns characterized by domain differentiation. Then, we charted the stability and changes in those patterns from 9th to 11th grade for each racial/ethnic group, and how the patterns at 11th grade were associated with adolescents’ STEM career expectations and high school math and science GPAs.
DOI: 10.6084/m9.figshare.17000071.v1
title: Bankuptcy

description: This dataset includes stata sintax: Sintaxis for figshare.docxstata data: Bankruptcy.dta
DOI: 10.6084/m9.figshare.17000071.v2
title: Bankuptcy

description: This dataset includes stata sintax: Sintaxis for figshare.docxstata data: Bankruptcy.dta
DOI: 10.25919/jb9r-hj61
title: Parkes observations for project P455 semester 2021OCTS_04

description: This project is to continue timing and profile studies of the first double-pulsar system, a unique laboratory for gravitational physics. Recent results, including the first measurements of higher-order light-propagation effects and of the relativistic deformation of the orbit, highlight the importance of a long term observational campaign for this remarkable system. The main aims of this proposal are to exploit the high sensitivity of the UWL receiver to provide the strongest tests to date for general relativity and to measure for the first time the moment-of-inertia of a neutron star. Additionally, we will search for the reappearance of the B pulsar.
DOI: 10.25919/wa0x-7y58
title: Parkes observations for project P1032 semester 2021OCTS_06

description: This project aims to continue to perform rapid measurements of relativistic parameters of southern binary pulsar systems using data from the Parkes Ultra Wideband Low (UWL) receiver and the MeerKAT telescope thereby enabling measurement of their component masses and in some cases, test theories of gravity. We will use the UWL data to obtain significant orbital coverage and timing baseline on these pulsars and obtain important constraints on orbital and temporal DM variations that will help in identifying the nature of the companion star. We will then use MeerKAT data at crucial orbital phases to improve our chances of measuring the relativistic parameters. Increase in the number of measured NS masses has profound implications for NS internal structure and for stellar and binary evolution physics. From this semester, we are converting this proposal into a ``Large project" proposal.
DOI: 10.6073/pasta/1bada17c0e32d1a0e634146bc05f75dc
title: WSC - The Influence of Legacy P on Lake Water Quality

description: Using a suite of numerical models, we investigated the influence of legacy P on water quality in the Yahara Watershed of southern Wisconsin, USA. The suite included Agro-IBIS, a terrestrial ecosystem model; THMB, a hydrologic and nutrient routing model; and the Yahara Water Quality Model which estimates water quality indicators in the Yahara chain of lakes. Using five alternative scenarios of antecedent P storage (legacy P) in soils and channels under historical climate conditions, we simulated outcomes of P yield from the landscape, lake P loading, and three lake water quality indicators. Data and code may also be found in https://github.com/SRCarpen/Yahara2070LakeModel_Fits2data.git
DOI: 10.25919/nbcz-6702
title: Parkes observations for project P1050 semester 2021OCTS_14

description: This is a request for observing time for the timing campaign of new pulsar discoveries from the reprocessing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed 90 % of the survey with GPU based coherent acceleration search, template bank and fast folding algorithm pipelines, and now have discovered 92 previously unknown pulsars and 8 "class A" pulsars awaiting confirmation. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. Pulsars on the observing list here have been confirmed in the previous and current 2021APRS semesters, the follow-up timing in OCTS2021 will produce completely new and exciting results. In addition, this timing project will allow us to measure the true Galactic plane pulsar population and the boundaries of pulsar parameter space in the galactic plane.
DOI: 10.5517/ccdc.csd.cc25j4jd
title: CCDC 2011513: Experimental Crystal Structure Determination

description: Related Article: Aiping Xing, Dai Zeng, Zhihong Chen|2022|J.Mol.Struct.|1253|132209|doi:10.1016/j.molstruc.2021.132209
DOI: 10.5517/ccdc.csd.cc266x5j
title: CCDC 2032427: Experimental Crystal Structure Determination

description: Related Article: Ruo-Xi Liu, Shi-Fan Ma, Yi-Li Chen, Lie-Feng Ma, Ji-Dong Wang, Zha-Jun Zhan|2022|Bioorg.Chem.|119|105573|doi:10.1016/j.bioorg.2021.105573
DOI: 10.5517/ccdc.csd.cc28bywg
title: CCDC 2095906: Experimental Crystal Structure Determination

description: Related Article: Gurudutt Dubey, Nutan Mahawar, Tejender Singh, Nirjhar Saha, Subash C. Sahoo, Prasad V. Bharatam|2022|Phys.Chem.Chem.Phys.(PCCP)|24|629|doi:10.1039/D1CP04732A
DOI: 10.5517/ccdc.csd.cc27r102
title: CCDC 2077713: Experimental Crystal Structure Determination

description: Related Article: Xiuli Guo, Zhenhua Li, Xiaobo Chen, Dadong Liang, Chunguang Li, Guanghua Li, Li Wang, Zhan Shi, Shouhua Feng|2022|CrystEngComm|24|294|doi:10.1039/D1CE01107C
DOI: 10.5517/ccdc.csd.cc27r0z0
title: CCDC 2077712: Experimental Crystal Structure Determination

description: Related Article: Xiuli Guo, Zhenhua Li, Xiaobo Chen, Dadong Liang, Chunguang Li, Guanghua Li, Li Wang, Zhan Shi, Shouhua Feng|2022|CrystEngComm|24|294|doi:10.1039/D1CE01107C
DOI: 10.5517/ccdc.csd.cc28vq95
title: CCDC 2111047: Experimental Crystal Structure Determination

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