cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7dr2tff
title: Nonindigenous aquatic species and potential spread after Hurricane Nate

description: This map was created to help assess impacts on nonindigenous aquatic species distributions due to flooding associated with Hurricane Nate. Storm surge and flood events can assist expansion and distribution of nonindigenous aquatic species through the connection of adjacent watersheds, backflow of water upstream of impoundments, increased downstream flow, and creation of freshwater bridges along coastal regions. This map will help natural resource managers determine potential new locations for individual species, or to develop a watch list of potential new species within a watershed. These data include a subset of data from the Nonindigenous Aquatic Species Database, that fall within the general area of the 2017 Hurricane Nate flooding.
DOI: 10.5281/zenodo.1043503
title: Webis-TLDR-17 Corpus

description: This corpus contains preprocessed posts from the Reddit dataset, suitable for abstractive summarization using deep learning. The format is a json file where each line is a JSON object representing a post. The schema of each post is shown below:


	author: string (nullable = true)
	body: string (nullable = true)
	normalizedBody: string (nullable = true)
	content: string (nullable = true)
	content_len: long (nullable = true)
	summary: string (nullable = true)
	summary_len: long (nullable = true)
	id: string (nullable = true)
	subreddit: string (nullable = true)
	subreddit_id: string (nullable = true)
	title: string (nullable = true)


Specifically, the <strong>content</strong> and <strong>summary</strong> fields can be directly used as inputs to a deep learning model (e.g. Sequence to Sequence model ). The dataset consists of 3,848,330 posts with an average length of 270 words for content, and 28 words for the summary. The dataset is a combination of both the Submissions and Comments merged on the common schema. As a result, most of the comments which do not belong to any submission have <strong>null</strong> as their title.

<strong>Note : </strong>This corpus does not contain a separate test set. Thus it is up to the users to divide the corpus into appropriate training, validation and test sets.<br>
<br>
DOI: 10.5281/zenodo.1043504
title: Webis-TLDR-17 Corpus

description: This corpus contains preprocessed posts from the Reddit dataset, suitable for abstractive summarization using deep learning. The format is a json file where each line is a JSON object representing a post. The schema of each post is shown below:


	author: string (nullable = true)
	body: string (nullable = true)
	normalizedBody: string (nullable = true)
	content: string (nullable = true)
	content_len: long (nullable = true)
	summary: string (nullable = true)
	summary_len: long (nullable = true)
	id: string (nullable = true)
	subreddit: string (nullable = true)
	subreddit_id: string (nullable = true)
	title: string (nullable = true)


Specifically, the <strong>content</strong> and <strong>summary</strong> fields can be directly used as inputs to a deep learning model (e.g. Sequence to Sequence model ). The dataset consists of 3,848,330 posts with an average length of 270 words for content, and 28 words for the summary. The dataset is a combination of both the Submissions and Comments merged on the common schema. As a result, most of the comments which do not belong to any submission have <strong>null</strong> as their title.

<strong>Note : </strong>This corpus does not contain a separate test set. Thus it is up to the users to divide the corpus into appropriate training, validation and test sets.<br>
<br>
DOI: 10.18739/a2127t
title: 2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: L56

description: Date from Lake 56. Time series data from sensors and water samplers deployed as OsmoSamplers at the bottom of seasonally ice-covered permafrost lakes in the Mackenzie River delta, Northwest Territories, Canada, from August 2015-August 2016. Sensor data includes water temperature, pressure, dissolved oxygen, light, and conductivity. Water samples were analyzed for dissolved major, minor and trace ions and methane concentrations. Study lakes include four lakes near Inuvik in the mid-delta (Lakes 56, 129, 280, and 520), two lakes in the outer delta near the outflow of the Middle Channel (informally named Swiss Cheese and Manta Lakes), and two lakes on North Richards Island (informally named North Head sites 1 and 2).
DOI: 10.18739/a23v8r
title: Photogrammetric scans of aerial photographs of North American glaciers, 1994
DOI: 10.18739/a24r81
title: 2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: L520

description: Date from Lake 520. Time series data from sensors and water samplers deployed as OsmoSamplers at the bottom of seasonally ice-covered permafrost lakes in the Mackenzie River delta, Northwest Territories, Canada, from August 2015-August 2016. Sensor data includes water temperature, pressure, dissolved oxygen, light, and conductivity. Water samples were analyzed for dissolved major, minor and trace ions and methane concentrations. Study lakes include four lakes near Inuvik in the mid-delta (Lakes 56, 129, 280, and 520), two lakes in the outer delta near the outflow of the Middle Channel (informally named Swiss Cheese and Manta Lakes), and two lakes on North Richards Island (informally named North Head sites 1 and 2).
DOI: 10.18739/a27k2z
title: Photogrammetric scans of aerial photographs of North American glaciers, 1995
DOI: 10.18739/a28k28
title: Photogrammetric scans of aerial photographs of North American glaciers, 1996
DOI: 10.18739/a2c84v
title: 2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: Swiss Cheese Lake Site 2

description: Date from Swiss Cheese Lake Site 2. Time series data from sensors and water samplers deployed as OsmoSamplers at the bottom of seasonally ice-covered permafrost lakes in the Mackenzie River delta, Northwest Territories, Canada, from August 2015-August 2016. Sensor data includes water temperature, pressure, dissolved oxygen, light, and conductivity. Water samples were analyzed for dissolved major, minor and trace ions and methane concentrations. Study lakes include four lakes near Inuvik in the mid-delta (Lakes 56, 129, 280, and 520), two lakes in the outer delta near the outflow of the Middle Channel (informally named Swiss Cheese and Manta Lakes), and two lakes on North Richards Island (informally named North Head sites 1 and 2).
DOI: 10.18739/a2d845
title: 2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: L280

description: Data from Lake 280. Time series data from sensors and water samplers deployed as OsmoSamplers at the bottom of seasonally ice-covered permafrost lakes in the Mackenzie River delta, Northwest Territories, Canada, from August 2015-August 2016. Sensor data includes water temperature, pressure, dissolved oxygen, light, and conductivity. Water samples were analyzed for dissolved major, minor and trace ions and methane concentrations. Study lakes include four lakes near Inuvik in the mid-delta (Lakes 56, 129, 280, and 520), two lakes in the outer delta near the outflow of the Middle Channel (informally named Swiss Cheese and Manta Lakes), and two lakes on North Richards Island (informally named North Head sites 1 and 2).
DOI: 10.18739/a2h275
title: 2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: Swiss Cheese Lake Site 1

description: Date from Swiss Cheese Lake Site 1. Time series data from sensors and water samplers deployed as OsmoSamplers at the bottom of seasonally ice-covered permafrost lakes in the Mackenzie River delta, Northwest Territories, Canada, from August 2015-August 2016. Sensor data includes water temperature, pressure, dissolved oxygen, light, and conductivity. Water samples were analyzed for dissolved major, minor and trace ions and methane concentrations. Study lakes include four lakes near Inuvik in the mid-delta (Lakes 56, 129, 280, and 520), two lakes in the outer delta near the outflow of the Middle Channel (informally named Swiss Cheese and Manta Lakes), and two lakes on North Richards Island (informally named North Head sites 1 and 2).
DOI: 10.18739/a2j27g
title: 2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: L129

description: Data from Lake 129. Time series data from sensors and water samplers deployed as OsmoSamplers at the bottom of seasonally ice-covered permafrost lakes in the Mackenzie River delta, Northwest Territories, Canada, from August 2015-August 2016. Sensor data includes water temperature, pressure, dissolved oxygen, light, and conductivity. Water samples were analyzed for dissolved major, minor and trace ions and methane concentrations. Study lakes include four lakes near Inuvik in the mid-delta (Lakes 56, 129, 280, and 520), two lakes in the outer delta near the outflow of the Middle Channel (informally named Swiss Cheese and Manta Lakes), and two lakes on North Richards Island (informally named North Head sites 1 and 2).
DOI: 10.18739/a2mr9r
title: 2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: North Head Lake 2

description: Date from North Head Lake 2. Time series data from sensors and water samplers deployed as OsmoSamplers at the bottom of seasonally ice-covered permafrost lakes in the Mackenzie River delta, Northwest Territories, Canada, from August 2015-August 2016. Sensor data includes water temperature, pressure, dissolved oxygen, light, and conductivity. Water samples were analyzed for dissolved major, minor and trace ions and methane concentrations. Study lakes include four lakes near Inuvik in the mid-delta (Lakes 56, 129, 280, and 520), two lakes in the outer delta near the outflow of the Middle Channel (informally named Swiss Cheese and Manta Lakes), and two lakes on North Richards Island (informally named North Head sites 1 and 2).
DOI: 10.18739/a2nr92
title: Photogrammetric scans of aerial photographs of North American glaciers, 1997
DOI: 10.18739/a2rk2m
title: 2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: North Head Lake 1

description: Date from North Head Lake 1. Time series data from sensors and water samplers deployed as OsmoSamplers at the bottom of seasonally ice-covered permafrost lakes in the Mackenzie River delta, Northwest Territories, Canada, from August 2015-August 2016. Sensor data includes water temperature, pressure, dissolved oxygen, light, and conductivity. Water samples were analyzed for dissolved major, minor and trace ions and methane concentrations. Study lakes include four lakes near Inuvik in the mid-delta (Lakes 56, 129, 280, and 520), two lakes in the outer delta near the outflow of the Middle Channel (informally named Swiss Cheese and Manta Lakes), and two lakes on North Richards Island (informally named North Head sites 1 and 2).
DOI: 10.18739/a2sk1j
title: Photogrammetric scans of aerial photographs of North American glaciers, 1978
DOI: 10.18739/a2vc3v
title: Photogrammetric scans of aerial photographs of North American glaciers, 1992
DOI: 10.18739/a2w84h
title: 2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: Manta lake

description: Date from Manta Lake. Time series data from sensors and water samplers deployed as OsmoSamplers at the bottom of seasonally ice-covered permafrost lakes in the Mackenzie River delta, Northwest Territories, Canada, from August 2015-August 2016. Sensor data includes water temperature, pressure, dissolved oxygen, light, and conductivity. Water samples were analyzed for dissolved major, minor and trace ions and methane concentrations. Study lakes include four lakes near Inuvik in the mid-delta (Lakes 56, 129, 280, and 520), two lakes in the outer delta near the outflow of the Middle Channel (informally named Swiss Cheese and Manta Lakes), and two lakes on North Richards Island (informally named North Head sites 1 and 2).
DOI: 10.5066/f72r3pww
title: Predicting landscape effects of Mississippi River diversions on soil organic carbon sequestration

description: It contains supporting data from the wetland morphology modeling to support the analysis on the landscape effects of Mississippi River diversions in the context of sea-level rise on soil organic carbon (SOC) sequestration along coastal Louisiana wetlands.
DOI: 10.5066/f7tm78c5
title: Site and Groundwater-Quality Sample Data for Abandoned Underground Coal Mine Aquifers in West Virginia, July 13, 1973 through September 7, 2016

description: This Data Release is a compilation of existing water-quality data associated with groundwater resources originating from abandoned underground coal mines in West Virginia. Data were compiled from multiple sources for the purpose of understanding the suitability of groundwater from abandoned underground coal mines for public supply, industrial, agricultural, and other uses. This compilation includes data collected for multiple individual studies conducted from July 13, 1973 through September 7, 2016. Analytical methods varied by the time period of data collection and requirements of the independent studies. This project identified 770 water quality samples from 294 sites that could be attributed to abandoned underground coal mine aquifers originating from multiple coal seams in West Virginia.
DOI: 10.18739/a2kv9g
title: Photogrammetric scans of aerial photographs of North American glaciers, 1990
DOI: 10.18739/a2qk1x
title: Photogrammetric scans of aerial photographs of North American glaciers, 1991
DOI: 10.5281/zenodo.1040178
title: TUT Sound events 2017, Evaluation dataset

description: TUT Sound events 2017, evaluation dataset consists of 8 audio recordings from a single acoustic scene: Street (outdoor), totaling 29:09
DOI: 10.5281/zenodo.1040179
title: TUT Sound events 2017, Evaluation dataset

description: TUT Sound events 2017, evaluation dataset consists of 8 audio recordings from a single acoustic scene: Street (outdoor), totaling 29:09
DOI: 10.5281/zenodo.1040167
title: TUT Acoustic scenes 2017, Evaluation dataset

description: TUT Acoustic Scenes 2017, evaluation dataset consists of 10-seconds audio segments from 15 acoustic scenes: Bus - traveling by bus in the city (vehicle) Cafe / Restaurant - small cafe/restaurant (indoor) Car - driving or traveling as a passenger, in the city (vehicle) City center (outdoor) Forest path (outdoor) Grocery store - medium size grocery store (indoor) Home (indoor) Lakeside beach (outdoor) Library (indoor) Metro station (indoor) Office - multiple persons, typical work day (indoor) Residential area (outdoor) Train (traveling, vehicle) Tram (traveling, vehicle) Urban park (outdoor) Each acoustic scene has 108 segments totaling 18 minutes of audio.
DOI: 10.18739/a2g26g
title: Photogrammetric scans of aerial photographs of North American glaciers, 1988
DOI: 10.18739/a2bc4k
title: Photogrammetric scans of aerial photographs of North American glaciers, 1975. Roll 5 tiffs
DOI: 10.18739/a26k0w
title: Photogrammetric scans of aerial photographs of North American glaciers, 1978
DOI: 10.21239/v9jq58
title: Muestreo en atención a la Calamidad pública en la Ciénaga Grande de Santa Marta, datos almacenados en la base de datos del sistema de información de Calidad Ambiental Marina - SISCAM Enero 12 de 2017
DOI: 10.21239/v9dx4q
title: Muestreo en atención a la Calamidad pública en la Ciénaga Grande de Santa Marta, datos almacenados en la base de datos del sistema de información de Calidad Ambiental Marina - SISCAM Diciembre 13 de  2016
DOI: 10.18739/a22v9t
title: Photogrammetric scans of aerial photographs of North American glaciers, 1987
DOI: 10.21239/v9971r
title: Muestreo en atención a la Calamidad pública en la Ciénaga Grande de Santa Marta, datos almacenados en la base de datos del sistema de información de Calidad Ambiental Marina - SISCAM Diciembre 29  2016
DOI: 10.21239/v95d98
title: Muestreo en atención a la Calamidad pública en la Ciénaga Grande de Santa Marta, datos almacenados en la base de datos del sistema de información de Calidad Ambiental Marina - SISCAM Diciembre 20  2016
DOI: 10.5281/zenodo.3909594
title: PARE module test data

description: PARE soil sample and ARG dataset
DOI: 10.5281/zenodo.3909593
title: PARE module test data

description: PARE soil sample and ARG dataset
DOI: 10.18739/a2z25f
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973. Roll 1 thumbnails
DOI: 10.5066/f7dv1h2f
title: Development of a dual luciferase-fluorescamine assay adapted to a 384 micro-well plate format-Data

description: We have adapted two commonly used human breast luciferase transactivation cell bioassays, the recently re-named estrogen agonist/antagonist screening VM7Luc4E2 cell bioassay (previously designated BG1Luc4E2) and the androgen/glucocorticoid screening MDA-kb2 cell bioassay, to 384-well formats for HTS of endocrine-active substances. This cost-saving adaptation includes a fast, accurate, and easy measurement of protein amount in each well via the fluorescamine assay (in the form of relative fluorescence units, RFU which are then converted to microgram protein using bovine serum albumin standards) with which to normalize luciferase activity (in the form of relative light units, RLU) of cell lysates without requiring any transfer of the cell lysates. This data demonstrate that by accounting for protein amount in the cell lysates, antagonistic agents can easily be distinguished from cytotoxic agents in the MDA-kb2 and VM7Luc4E2 cell bioassays. Additionally, this data demonstrate improved accuracy of luciferase activity in wells along the edge of the plate (the so-called edge effect) when normalizing to protein amount.
DOI: 10.18739/a2pk1m
title: Photogrammetric scans of aerial photographs of North American glaciers, 1975. Roll 4 thumbnails
DOI: 10.18739/a2tc4x
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973. Roll 1 thumbnails
DOI: 10.18739/a2f27j
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973. Roll 1 thumbnails
DOI: 10.18739/a2jw03
title: Photogrammetric scans of aerial photographs of North American glaciers, 1975. Roll 2 thumbnails
DOI: 10.18739/a29c3w
title: Photogrammetric scans of aerial photographs of North American glaciers, 1975. Roll 4 tiffs
DOI: 10.18739/a21v9h
title: Photogrammetric scans of aerial photographs of North American glaciers, 1986
DOI: 10.18739/a25p0m
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973. Roll 1 jpegs
DOI: 10.18739/a2sc37
title: Photogrammetric scans of aerial photographs of North American glaciers, 1981
DOI: 10.18739/a2np0z
title: Photogrammetric scans of aerial photographs of North American glaciers, 1980
DOI: 10.18739/a2x555
title: Photogrammetric scans of aerial photographs of North American glaciers, 1984
DOI: 10.18739/a2hv73
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973. Roll 1 tiffs
DOI: 10.18739/a2d56w
title: Photogrammetric scans of aerial photographs of North American glaciers, 1975. Roll 2 tiffs
DOI: 10.18739/a20v8t
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973
DOI: 10.18739/a2w567
title: Photogrammetric scans of aerial photographs of North American glaciers, 1976
DOI: 10.5066/f7hh6hv4
title: Supporting data for Fena Valley Reservoir watershed and water-balance model, southern Guam

description: This data release contains inputs and outputs needed to reproduce the findings for the publication: Rosa, S.N., and Hay, L.E., in press, Fena Valley Reservoir watershed and water-balance model updates and expansion of watershed modeling to Southern Guam: U.S. Geological Survey Scientific Investigations Report 2017-5093, 64 p., https://doi.org/10.3133/sir20175093. Data are provided in several files: 1) the PRMS_2016 folder contains the input files needed to run each of the modeled regions in southern Guam, the calibration data files, and a README_PRMS_2016.txt document that describes the contents of this archive and the execution of the model batch files; 2) the FVR_2016 folder contains the input files needed to run the Fena Valley Reservoir water-balance model and a README_FVR_2016.txt document that describes the contents of this archive and the execution of the water-balance model; 3) a GIS file of the model hydrologic response units, PRMS_2016_HRUs; and 4) a GIS file of the model stream segments, PRMS_2016_Stream_Segments.
DOI: 10.18739/a2rc3x
title: Photogrammetric scans of aerial photographs of North American glaciers, 1978
DOI: 10.18739/a2mp2d
title: Photogrammetric scans of aerial photographs of North American glaciers, 1974
DOI: 10.18739/a2gv9j
title: Photogrammetric scans of aerial photographs of North American glaciers, 1975. Roll 2 tiffs - Fiducials
DOI: 10.18739/a27g1j
title: Photogrammetric scans of aerial photographs of North American glaciers, 1971
DOI: 10.18739/a2c56k
title: Photogrammetric scans of aerial photographs of North American glaciers, 1972
DOI: 10.18739/a23p00
title: Photogrammetric scans of aerial photographs of North American glaciers, 1970
DOI: 10.18739/a2zz75
title: Photogrammetric scans of aerial photographs of North American glaciers, 1975
DOI: 10.18739/a2v55j
title: Photogrammetric scans of aerial photographs of North American glaciers, 1969
DOI: 10.18739/a2qg3n
title: Photogrammetric scans of aerial photographs of North American glaciers, 1968
DOI: 10.18739/a2kn9d
title: Photogrammetric scans of aerial photographs of North American glaciers, 1967
DOI: 10.18739/a2fz8w
title: Photogrammetric scans of aerial photographs of North American glaciers, 1964
DOI: 10.17632/5szmt6k9m5.9
title: Smoke Test (HomeWiFI) 30Apr2020 natscilivecustomer (Dataset-1.7)

description: Version1: NatSciLive Natra, Mahesh Live Version2: Mahesh Live, NatSciLive Natra Version3: Rehan Ahmad, NatSciLive Natra, Mahesh Live Version4: Mahesh Live, Rehan Ahmad Version5: A AA, Rehan Ahmad, Mahesh Elsevier Version6: A AA, Mahesh Elsevier, Rehan Ahmad, Natscie Live Version7: A AA, Mahesh Elsevier, Natscie Live Version8: Mahesh Elsevier, Natscie Live, A AA Version9: , Natscie Live, Mahesh Elsevier, A AA
DOI: 10.14469/hpc/3235
title: IMe5 NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3236
title: IMe5 WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3237
title: CH4 (2-) NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3238
title: IMe7 WFN

description: Gaussian Calculation
DOI: 10.5281/zenodo.3274234
title: TGLF-NN training dataset for deuterium-carbon species

description: Dataset used to train TGLF-NN model for deuterium and carbon species
DOI: 10.5281/zenodo.3274233
title: TGLF-NN training dataset for deuterium-carbon species

description: Dataset used to train TGLF-NN model for deuterium and carbon species
DOI: 10.5281/zenodo.3922263
title: Extreme model exploration of a multi-scale simulation of tumor growth

description: The dataset comprises the output of several simulations of a model of tumor growth with different parameter values. The model is a multi-scale agent-based model of a tumor spheroid that is treated with periodic pulses of the cytokine tumor necrosis factor (TNF). The multi-scale model simulates processes including i) the diffusion, uptake, and secretion of molecular entities such as oxygen, or TNF; ii) the mechanical interaction between cells; and iii) cellular processes including cell life cycle, cell death models, signal transduction. The multi-scale model was implemented and simulated using the PhysiBoSS framework (Letort et al. 2019). The dataset corresponds to different simulations trajectories obtained for alternative parameter values. The parameter explored are: i) the decay rate of the TNF after it binds the cell; ii) the TNF binding rate; and iii) the TNF secretion rate by NFkB activated cells. The dataset includes 48 different combinations of parameters. Each simulation is stored in a folder instance_[0-9]+ which includes the PhysiBoSS standard output files (https://github.com/gletort/PhysiBoSS/wiki). The root folder also includes other settings, logs, and outputs as well as the binary used to run the simulation.