cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5144494
title: Random Forest fused MODIS and Landsat snow cover from spectral mixture analysis in the Sierra Nevada, USA

description: This data is snow cover fraction from the Snow Covered Area and Grain Size (SCAG) model for Landsat OLI and Terra MODIS and well as a 2-stage random forest model to fuse the 2 datasets for improved temporal/spatial resolution. There are 170 scenes in 2001 to 2012. It was used in the a publication for Remote Sensing of the Environment titled: Multi-sensor fusion using random forests for daily fractional snow cover at 30 m, doi: to be assigned. <strong>Inputs</strong>: [YYYYMMDD is year month day of month, $num is 5 or 7 for Landsat platform, $sens is sensor TM or ETM+] Landsat.zip: Snow cover from Landsat: SSN.p042r034_YYYYMMDD.Landsat$num-$sens.canopyadjusted_mask.v01.tif MODIS.zip: Snow cover from MODIS: SSN.SN_W$YYYYMMDD_$YYYYMMDD.Terra-MODIS.snow_cover_percent.v01.tif Predictors.zip<strong> </strong> Static predictors (see RSE publication Table 2): SouthernSierraNevada*.tif [* here is the variable name] <strong>Outputs [</strong> [YYYYMMDD is year month day of month] ProbabilityNot0Not100.zip SSN.prob.btwn.YYYYMMDD.v3.tif - from classification random forest, probability of being between 0 and 100 Probability100fSCA SSN.pro.hundred.YYYYMMDD.v3.tif - from classification random forest, probability of being 100 RegressionResult.zip SSN.regression.YYYYMMDD.v3.tif - from prediction random forest Final_Downscaled.zip SSN.downscaled.YYYYMMDD.v3.3e+05.tif - final product (combination of classification and prediction)
DOI: 10.5281/zenodo.5144493
title: Random Forest fused MODIS and Landsat snow cover from spectral mixture analysis in the Sierra Nevada, USA

description: This data is snow cover fraction from the Snow Covered Area and Grain Size (SCAG) model for Landsat OLI and Terra MODIS and well as a 2-stage random forest model to fuse the 2 datasets for improved temporal/spatial resolution. There are 170 scenes in 2001 to 2012. It was used in the a publication for Remote Sensing of the Environment titled: Multi-sensor fusion using random forests for daily fractional snow cover at 30 m, doi: to be assigned. <strong>Inputs</strong>: [YYYYMMDD is year month day of month, $num is 5 or 7 for Landsat platform, $sens is sensor TM or ETM+] Landsat.zip: Snow cover from Landsat: SSN.p042r034_YYYYMMDD.Landsat$num-$sens.canopyadjusted_mask.v01.tif MODIS.zip: Snow cover from MODIS: SSN.SN_W$YYYYMMDD_$YYYYMMDD.Terra-MODIS.snow_cover_percent.v01.tif Predictors.zip<strong> </strong> Static predictors (see RSE publication Table 2): SouthernSierraNevada*.tif [* here is the variable name] <strong>Outputs [</strong> [YYYYMMDD is year month day of month] ProbabilityNot0Not100.zip SSN.prob.btwn.YYYYMMDD.v3.tif - from classification random forest, probability of being between 0 and 100 Probability100fSCA SSN.pro.hundred.YYYYMMDD.v3.tif - from classification random forest, probability of being 100 RegressionResult.zip SSN.regression.YYYYMMDD.v3.tif - from prediction random forest Final_Downscaled.zip SSN.downscaled.YYYYMMDD.v3.3e+05.tif - final product (combination of classification and prediction)
DOI: 10.5281/zenodo.5146015
title: wbrolls2021-b

description: This deposit serves as a long-term archive for the unprocessed raw data behind the wbrolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/wbrolls2021
DOI: 10.5281/zenodo.5146014
title: wbrolls2021-b

description: This deposit serves as a long-term archive for the unprocessed raw data behind the wbrolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/wbrolls2021
DOI: 10.18743/data.00154
title: 4chan /pol board as a temporary evolution of live threads and posts.

description: We monitored the live /pol board on 4chan and scraped data from each thread multiple times during their time in the board and additionally (but not included in this dataset), scraped the archive status of the thread as exposed by the 4chan API and 4pleb (internet archiving service) API. Included in this dataset there is a three month extract of data scraped from 4chan during the period from 1st of April 2021 to 1st of July 2021
description: We used a distributed scraping system to collect this information and pointed a combination of 14 nodes, 3 clusters and 100 running instances per minute to scrap the data at high frequency, due to the ephemeral characteristics of 4chan. The scraping system was configure as a breath-first scraping system and MongoDB was used as document storage configured as a replica-set made of one primary, three secondaries and one arbiter.
description: Extracted as JSON from MongoDB Source
DOI: 10.5255/ukda-sn-855092
title: Effects of a Task Switch on the Recognition of Facial Emotion Expression, 2012-2013

description: Previous task-switching studies have shown that shifting attention to a relevant stimulus attribute before stimulus onset is limited: several EEG markers of perceptual encoding (including processes previously thought to be automatic, e.g., visual word recognition) are delayed on task-switch trials. This study investigated whether this was the case for another process of perceptual encoding thought to be automatic: recognising facial emotions. Facial emotion recognition is reported to have a well-established marker in the ERP (event-related potential), the emotion-expression effect (EEE; more positive amplitudes for emotional than neutral expressions in fronto-central parts of the scalp starting around 150 ms after stimulus onset). This study examined whether the EEE would be delayed when switching to the emotion classification task. Participants classified compound stimuli- face stimuli with a letter superimposed- depending on the task they were cued to perform on a particular trial (emotion classification: emotional or neutral, or letter classification: vowel or consonant). The task had to be repeated on a random 2/3rds of the trials or switched on 1/3rd of the trials. We collected behavioural data in form of reaction times and error rates and concurrently recorded the EEG from which the ERPs were derived.
DOI: 10.25747/wfzk-h937
title: Wikipedia Information Quality
DOI: 10.6084/m9.figshare.14829183
title: Siphonophore gene expression data json file

description: This json file contains data exported from agalma 2.0, including a species tree and expression data for each species and zooid. These data can be re-exported from the sqlite file: 10.6084/m9.figshare.14838315
DOI: 10.6073/pasta/fb23ff77ce6c50ca2c50667c992d50ad
title: Forest Damage Patterns at Harvard Forest in the 1938 Hurricane

description: This study examined landscape-level patterns of forest damage at the Harvard Forest caused by the 1938 New England Hurricane. For details on methods and results, please see the published paper (Foster, D. R. and E. R. Boose. 1992. Patterns of forest damage resulting from catastrophic wind in central New England, USA. Journal of Ecology 80: 79-98). The Abstract from the paper is reproduced below. "1. The effect of catastrophic winds on a forested landscape in central Massachusetts was examined to investigate the factors controlling the geographic pattern of damage. The study area, Tom Swamp Tract, Harvard Forest, comprises a valley and adjoining hillslopes supporting second growth hardwood and confer stands. Much of the study used records and maps that were analyzed cartographically with a geographic information system (GIS). "2. Areally, forest damage was distributed fairly evenly among different damage classes ranging from no damage to more than 75% of stems broken or uprooted. However, there was a negative exponential size distribution of contiguous areas of the same damage intensity, with a preponderance less than 2 ha; these areas ranged from less than 0.04 ha to more than 35 ha; hurricane damage exhibited a continuum ranging from minor damage of individual trees to extensive blow-down of broad areas of forest. "3. The spatial pattern of wind damage was controlled by vegetation height and composition and by site exposure, which is predominantly determined by slope orientation and angle. Approximately 3% of the stands in the study site occupied protected sites, 31% intermediate sites, and 66% exposed sites. "4. Forest type susceptibility followed the ranking (from highest to lowest): Pinus strobes, conifer plantations, Pinus strobus-hardwood = Tsuga canadensis-hardwood-Pinus strobes, hardwood-Pinus strobes, hardwood. Damage increased with increasing site exposure to wind and increased approximately linearly with stand height. "5. An empirical GIS model of landscape-level response to wind was constructed based on other stands in the same township (not including the Tom Swamp Tract). Hurricane damage in these stands was analysed as a function of site factors (exposure) and vegetational factors (height and composition). Model predictions for the study area agreed well with observed effects, suggesting that a relatively small number of variables can be used to explain the damage in this topographically simple area. Significant variation in the predicted damage under different vegetational scenarios suggests that the landscape-level response to catastrophic wind may be highly sensitive to historical changes in vegetation."
DOI: 10.6084/m9.figshare.14829183.v1
title: Siphonophore gene expression data json file

description: This json file contains data exported from agalma 2.0, including a species tree and expression data for each species and zooid. These data can be re-exported from the sqlite file: 10.6084/m9.figshare.14838315
DOI: 10.5281/zenodo.5146275
title: PEMS-BAY and METR-LA in csv

description: PEMS-BAY and METR-LA dataset in csv <pre><code>@inproceedings{li2018dcrnn_traffic, title={Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting}, author={Li, Yaguang and Yu, Rose and Shahabi, Cyrus and Liu, Yan}, booktitle={International Conference on Learning Representations (ICLR '18)}, year={2018} }</code></pre>
DOI: 10.6073/pasta/36a25e07610179100132e91806971d51
title: Reconstruction of the 1938 Hurricane in New England and Hurricane Hugo in Puerto Rico

description: This study examined landscape and regional impacts of the 1938 Hurricane in New England and Hurricane Hugo in Puerto Rico, with a focus on the Harvard Forest and the Luquillo Expermental Forest. For details on methods and results, please see the published paper (Boose, E. R., D. R. Foster and M. Fluet. 1994. Hurricane impacts to tropical and temperate forest landscapes. Ecological Monographs 64(4): 369-400). The Abstract from the paper is reproduced below. "Hurricanes represent an important natural disturbance process to tropical and temperate forests in many coastal areas of the world. The complex patterns of damage created in forests by hurricane winds result from the interaction of meteorological, physiographic, and biotic factors on a range of spatial scales. To improve our understanding of these factors and of the role of catastrophic hurricane wind as a disturbance process, we take an integrative approach. A simple meteorological model (HURRECON) utilizes meteorological data to reconstruct wind conditions at specific sites and regional gradients in wind speed and direction during a hurricane. A simple topograhic exposure model (EXPOS) utilizes wind direction predicted by HURRECON and a digital elevation map to estimate landscape-level exposure to the strongest winds. Actual damage to forest stands is assessed through analysis of remotely sensed, historical, and field data. "These techniques were used to evaluate the characteristics and impacts of two important hurricanes: Hurricane Hugo (1989) in Puerto Rico and the 1938 New England Hurricane, storms of comparable magnitude in regions that differ greatly in climate, vegetation, physiography, and disturbance regimes. In both cases patterns of damage on a regional scale were found to agree with the predicted distribution of peak wind gust velocities. On a landscape scale there was also good agreement between patterns of forest damage and predicted exposure in the Luquillo Experimental Forest in Puerto Rico and the town of Petersham, Massachusetts. At the Harvard and Pisgah Forests in central New England the average orientation of wind-thrown trees was very close to the predicted peak wind direction, while at Luquillo there was also good agreement, with some apparent modification of wind direction by the mountainous terrain. At Harvard Forest there was evidence that trees more susceptible to windthrow were felled earlier in the storm. "This approach may be used to study the effects of topography on wind direction and the relation of forest damage to wind speed and duration; to establish broad-scale gradients of hurricane frequency, intensity, and wind direction for particular regions; and to determine landscape-level exposure to long-term hurricane disturbance at particular sites."
DOI: 10.6084/m9.figshare.6741431.v9
title: COCI CSV dataset of the provenance information of all the citation data

description: This dataset contains the provenance information (in CSV format) of all the citation data included in COCI, released on 7 December 2020. In particular, each line of the CSV file defines a citation, and includes the following information:<b>[field "oci"]</b> the Open Citation Identifier (OCI) for the citation;<b>[field "agent"]</b> the name of the agent that have created the citation data;<b>[field "source"]</b> the URL of the source dataset from where the citation data have been extracted;<b>[field "datetime"]</b> the creation time of the citation data.The size of the zipped archive is 9.4 GB, while the size of the unzipped CSV file is 168.5 GB.<br>Additional information about COCI can be retrieved in the official webpage.
DOI: 10.34740/kaggle/dsv/2477306
title: Internet Speed Dataset
DOI: 10.6084/m9.figshare.15075162
title: Multidimensional Patterns in Oral Microbiome Data

description: Multidimensional Patterns in Oral Microbiome Data
DOI: 10.6084/m9.figshare.15075162.v2
title: Multidimensional Patterns in Oral Microbiome Data

description: Multidimensional Patterns in Oral Microbiome Data
DOI: 10.6084/m9.figshare.15075162.v1
title: Multidimensional Patterns in Oral Microbiome Data

description: Multidimensional Patterns in Oral Microbiome Data
DOI: 10.6073/pasta/610cb67fcbc8982c2af8ed946dce8ea5
title: Baltimore Ecosystem Study: Code for calculations of annual pharmaceutical loads at Gwynns Falls Carroll Park

description: Code for analyses presented in: Fork, M.L., J. Fick, A.J. Reisinger, and E.J. Rosi. "Dosing the coast: Leaking sewage infrastructure delivers large annual loads and dynamic mixtures of pharmaceuticals to urban rivers." In press at Environmental Science and Technology. Two markdown files contains code to pre-process other data and to analyze grab samples from BES streams collected weekly from 2 Nov 2017 through 15 Nov 2018 and analyzed for 92 target pharmaceuticals. Data and methods are available via EDI at https://doi.org/10.6073/pasta/36453abc14ce8d6a33711231fdee9792. Briefly, the analyses here: A) examine spatial and temporal variability in pharmaceutical detections and concentrations among 7 BES watersheds, and B) combine measured concentrations at the watershed outlet (GFCP) with USGS streamflow data to estimate annual loads of pharmaceuticals by resampling or by interpolating concentrations over the discharge record.
DOI: 10.5066/p9ldq8c3
title: Enhanced Terrain Imagery of the Pepacton Reservoir 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution

description: This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Pepacton Reservoir 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consist of 1 meter and 2 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between 2007 and 2015. The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief by overlaying a translucent topographic position index (TPI) calculation on top of the hillshade.
DOI: 10.6073/pasta/fe885c4646d428491ad3fc9dbb48268a
title: Landscape and Regional Impacts of Hurricanes in New England 1620-1997

description: This project used a combination of historical research and computer modeling to study the impacts of hurricanes in New England since 1620. For details on methods and results, please see the published paper (Boose, E. R., K. E. Chamberlin and D. R. Foster. 2001. Landscape and regional impacts of hurricanes in New England. Ecological Monographs 71: 27-48). The Abstract from the paper is reproduced below. "Hurricanes are a major factor controlling ecosystem structure, function and dynamics in many coastal forests and yet their ecological role can be understood only by assessing impacts in space and time over a period of centuries. We present a new method for reconstructing hurricane disturbance regimes using a combination of historical research and computer modeling. Historical data on wind damage for each hurricane in the selected region are quantified using the Fujita scale to produce regional maps of actual damage. A simple meteorological model (HURRECON), parameterized and tested for selected recent hurricanes, provides regional estimates of wind speed, direction, and damage for each storm. Individual reconstructions are compiled to analyze spatial and temporal patterns of hurricane impacts. Long-term effects of topography on a landscape scale are then examined with a simple topographic exposure model (EXPOS). "We applied this method to New England, USA, examining hurricanes since European settlement in 1620. Results showed strong regional gradients in hurricane frequency and intensity from southeast to northwest: average return intervals for F0 damage on the Fujita scale (loss of leaves and branches) ranged from 5 to 85 years, average return intervals for F1 damage (scattered blowdowns, small gaps) ranged from 10 to more than 200 years, and average return intervals for F2 damage (extensive blowdowns, large gaps) ranged from 85 to more than 380 years. On a landscape scale, average return intervals for F2 damage in the town of Petersham MA ranged from 125 years across most sites to more than 380 years on scattered lee slopes. Actual forest damage was strongly dependent on land-use and natural disturbance history. Annual and decadal timing of hurricanes varied widely. There was no clear century-scale trend in the number of major hurricanes. "The historical-modeling approach is applicable to any region with good historical records and will enable ecologists and land managers to incorporate insights on hurricane disturbance regimes into the interpretation and conservation of forests at landscape to regional scales."
DOI: 10.5517/ccdc.csd.cc1nmjng
title: CCDC 1538116: Experimental Crystal Structure Determination

description: Related Article: Zhiqiang Hao, Ying Li, Zhihong Ma, Zhangang Han, Jin Lin, Guo-Liang Lu|2021|J.Organomet.Chem.|932|121647|doi:10.1016/j.jorganchem.2020.121647
DOI: 10.5517/ccdc.csd.cc24h9hg
title: CCDC 1980915: Experimental Crystal Structure Determination

description: Related Article: Oriol Planas, Feng Wang, Markus Leutzsch, Josep Cornella|2020|Science|367|313|doi:10.1126/science.aaz2258
DOI: 10.5517/ccdc.csd.cc23kgms
title: CCDC 1953205: Experimental Crystal Structure Determination

description: Related Article: Nimrod M. Eren, Samantha A. Orr, Christopher D. Thompson, Emily C. Border, Michael A. Stevens, Victoria L. Blair|2020|Organometallics|39|2080|doi:10.1021/acs.organomet.0c00144
DOI: 10.5517/ccdc.csd.cc23kgnt
title: CCDC 1953206: Experimental Crystal Structure Determination

description: Related Article: Nimrod M. Eren, Samantha A. Orr, Christopher D. Thompson, Emily C. Border, Michael A. Stevens, Victoria L. Blair|2020|Organometallics|39|2080|doi:10.1021/acs.organomet.0c00144
DOI: 10.5066/p9oj3kfk
title: Long-term CO2 emissions measurements, Horseshoe Lake tree kill area, Mammoth Mountain, CA

description: We installed an eddy covariance station on July 22, 2014 at the Horseshoe Lake tree kill area on Mammoth Mountain, CA to monitor variations in magmatic CO2 emissions. Since then, this station has measured CO2, H2O and sensible and latent heat fluxes, air temperature and pressure, and wind speed and direction on a half-hourly basis. We also measured soil CO2 fluxes across the area (0.32 km2) using the accumulation chamber method on July 23, 2014, June 20-21, 2015, July 15, 2016, July 27-28, 2017, July 31-August 1, 2018, and August 2-3, 2019. The eddy covariance and soil CO2 flux data sets were used to characterize temporal and spatial variations in magmatic CO2 emissions and their relationships to meteorological variations.
DOI: 10.5517/ccdc.csd.cc27nc5g
title: CCDC 2075145: Experimental Crystal Structure Determination

description: Related Article: Jin-Bu Xu, Yu-Zhu Li, Shuai Huang, Lin Chen, Yan-Yan Luo, Feng Gao, Xian-Li Zhou|2021|Phytochemistry|190|112866|doi:10.1016/j.phytochem.2021.112866
DOI: 10.5517/ccdc.csd.cc27pcmy
title: CCDC 2076120: Experimental Crystal Structure Determination

description: Related Article: Kengo Inoue, Yuxuan Feng, Atsunori Mori, Kentaro Okano|2021|Chem.-Eur.J.|27|10267|doi:10.1002/chem.202101256
DOI: 10.5517/ccdc.csd.cc27qskb
title: CCDC 2077482: Experimental Crystal Structure Determination

description: Related Article: Kengo Inoue, Yuxuan Feng, Atsunori Mori, Kentaro Okano|2021|Chem.-Eur.J.|27|10267|doi:10.1002/chem.202101256
DOI: 10.5517/ccdc.csd.cc27qslc
title: CCDC 2077483: Experimental Crystal Structure Determination

description: Related Article: Kengo Inoue, Yuxuan Feng, Atsunori Mori, Kentaro Okano|2021|Chem.-Eur.J.|27|10267|doi:10.1002/chem.202101256