cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/v2wsou/phxo1i
title: ReadMe.txt

description: :unav
DOI: 10.5281/zenodo.3593988
title: Database on the Performance of Current Agro-Ecological Farming Systems (AEFS) as an Input to the Modelling in WP4

description: This database contains farm data (e.g. yields) and results (indicators) from assessments with the three decision support tools in the UNISECO case studies: SMART (www.fibl.org/en/themes/smart-en.html), Cool Farm Tool (coolfarmtool.org) and COMPAS (www.thuenen.de). This version (2.0) was developed as a benchmark for the assessment of exemplary cases of how the core dilemmas of agro-ecological transitions may be overcome at farm level and as an input to the modelling at territorial level in WP4. This database was created in the course of the H2020 project UNISECO. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 773901.
DOI: 10.5519/qd.583df3ke
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.7910/dvn/v2wsou/t3jzzq
title: MC.tar.gz

description: Replication for Monte Carlo Simulation.
DOI: 10.5281/zenodo.3593989
title: Database on the Performance of Current Agro-Ecological Farming Systems (AEFS) as an Input to the Modelling in WP4

description: This database contains farm data (e.g. yields) and results (indicators) from assessments with the three decision support tools in the UNISECO case studies: SMART (www.fibl.org/en/themes/smart-en.html), Cool Farm Tool (coolfarmtool.org) and COMPAS (www.thuenen.de). This version (2.0) was developed as a benchmark for the assessment of exemplary cases of how the core dilemmas of agro-ecological transitions may be overcome at farm level and as an input to the modelling at territorial level in WP4. This database was created in the course of the H2020 project UNISECO. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 773901.
DOI: 10.3886/e116963
title: The rethinking and enhancement of the natural and cultural heritage of the cultural landscapes: the case of Sečovlje and Janubio saltpans

description: Cultural landscapes represent a complex category where the nature-culture dichotomy seem to not be able to unfold the main features and the profound relations that humans have with the environment. Drawing on ethnographic data collected in the saltpans of Se-ovlje (Slovene Istria) and Janubio (Lanzarote--Canary Islands) this article examines informant`s perceptions about the awareness of the importance and the enhancement of the holistic values of both saltpans, as well as the impacts and benefits of tourism. Comparing these perceptions about both cultural landscapes, I try to suggest that the complex fruitfully relations between humans and nature in these saltpans are at odds with the neoliberal logic of nature which exploit and commoditize its resources depriving them of their respective agency. A sustainability to contrast the harmful activities of the market ought to be understood not as a simply isolation and fencing of nature for the sake of conservation, but as a preservation that need to foster the continuity of the deep interactions between human culture and non-human nature which are the core of the cultural landscapes.<br>
description: This study engaged 12 individuals involved in both saltpans (n=6, in Sečovlje and n=6 in Janubio), a period of participant observation and in depth semi-structured interviews were conducted between September 2015 and April 2016. .
description: Non-probability sampling<br><br>Objective sampling
DOI: 10.3886/e116963v1
title: The rethinking and enhancement of the natural and cultural heritage of the cultural landscapes: the case of Sečovlje and Janubio saltpans

description: Cultural landscapes represent a complex category where the nature-culture dichotomy seem to not be able to unfold the main features and the profound relations that humans have with the environment. Drawing on ethnographic data collected in the saltpans of Se-ovlje (Slovene Istria) and Janubio (Lanzarote--Canary Islands) this article examines informant`s perceptions about the awareness of the importance and the enhancement of the holistic values of both saltpans, as well as the impacts and benefits of tourism. Comparing these perceptions about both cultural landscapes, I try to suggest that the complex fruitfully relations between humans and nature in these saltpans are at odds with the neoliberal logic of nature which exploit and commoditize its resources depriving them of their respective agency. A sustainability to contrast the harmful activities of the market ought to be understood not as a simply isolation and fencing of nature for the sake of conservation, but as a preservation that need to foster the continuity of the deep interactions between human culture and non-human nature which are the core of the cultural landscapes.<br>
description: This study engaged 12 individuals involved in both saltpans (n=6, in Sečovlje and n=6 in Janubio), a period of participant observation and in depth semi-structured interviews were conducted between September 2015 and April 2016.
description: Non-probability sampling<br><br>Objective sampling
DOI: 10.17632/kcsh9g4d43.1
title: Data for: Facile synthesis of Mo-doped TiO2 for selective photocatalytic CO2 reduction to methane: Promoted H2O dissociation by Mo doping

description: Data for Mo-doped photocatalyst characterization and activity tests for CO2 reduction.
DOI: 10.21227/4z76-f828
title: Simulation data for a Monte Carlo Wave-Particle Event-Based Interaction Model

description: The data made available are the simulations of a time-resolved Monte Carlo model for use in quantitative as well as qualitative analysis of different types of particle atmospheres.
DOI: 10.17632/9jm5r6j96n.1
title: Data for: Sixty-year quasi-period of the Asian monsoon around the Last Interglacial derived from annually resolved stalagmite evidence

description: Oxygen and carbon isotopic data of stalagmite (YX108) from Yongxing Cave.
DOI: 10.3886/e100254
title: University of Michigan-Flint GIS Center Data

description: This project consists of two datasets. The first is a GIS shapefile of Flint Community Schools that are open as of Fall 2016. The second is a GIS shapefile of City of Flint service line connections.
DOI: 10.3886/e100254v1-21425
title: University of Michigan-Flint GIS Center Data

description: This project consists of two datasets. The first is a GIS shapefile of Flint Community Schools that are open as of Fall 2016. The second is a GIS shapefile of City of Flint service line connections.
DOI: 10.6073/pasta/92e199df2a9ffea59762c10edd2fac96
title: Plant species composition data for Saddle grid, 1989 - ongoing.

description: Permanent 1-m^2 plots were established beside each of the 88 Saddle grid stakes in 1989 by Marilyn Walker, who led the sampling effort until 1997. Each plot was located within 2 m of the stake, but always in the same vegetation type as that associated with the stake. The distance and direction from the grid stake were randomly selected, and thus varied from plot to plot. Point quadrat measurements have been made at irregular intervals from 1989 to the present (1989, 1990, 1995, 1997, 2006, 2008, and yearly from 2010 onward). The point-quadrat technique used was identical to that described by Auerbach (1992) for sampling in 1989 to 1997: The point-quadrat method was used for estimating plant cover. The aluminum point-quadrat frame was 1 m^2 in size, with double-layer filament spaced 10 cm apart to make a 10 x 10 cm grid, for a total of 100 sample points per plot. Before sampling, the point-quadrat frame was leveled and plots were permanently marked in the following manner. Aluminum tags were nailed into the ground so that a frame could be repositioned in the same location from year to year; i.e., tags with a hole in the middle were used to define the locations for the point frame legs and four tags with a "X" stamped on them (positioned somewhere inside each of the frame corners) were used to define alignment of the frame by positioning the string crossings over these "X"s. Plant genus and species were recorded for top and bottom hits at each point for 1990-1997 data. In 1989, middle hits were also recorded. A plant species hit occurs when a plant part touches a thin metal stick placed at the intersection of 2 filaments in the quadrat. If plant parts of a given species touch the stick at multiple places, only one hit is recorded. In the next sampling year, 2006, and continuing to the present, all hits were recorded at each point, but frame distances were not measured. In addition, exact repositioning of the frame was not possible in some plots due to absence or relocation of tags. Data are formatted as one species hit per row (“string of pearls’).
DOI: 10.25345/c54m4g
title: MassIVE MSV000084737 - GNPS_ Stereospermum accuminatissimum
title: Dereplication strategy for isolation of interesting secondary metabolites from stereospermum accuminatissimum.
DOI: 10.5281/zenodo.3594031
title: weecology/portalPredictions 2019-12-27

description: Using various models to forecast abundances at Portal
DOI: 10.5281/zenodo.3594201
title: Dataset S2

description: Dataset S2
DOI: 10.5281/zenodo.3594202
title: Dataset S2

description: Dataset S2
DOI: 10.5281/zenodo.3594032
title: weecology/forecasts 2019-12-27

description: Archived forecasts for future analysis
DOI: 10.5281/zenodo.3594358
title: Model output in the LS and SCS

description: The model data in the LS and SCS of the manuscripts "<em>An Examination of Circulation Characteristics in the Luzon Strait and the South China Sea using High-resolution Regional Coupled Models</em>" submitted to <em>JGR-Oceans.</em>
DOI: 10.5281/zenodo.3594357
title: Model output in the LS and SCS

description: The model data or the samples used to produce the figures in the the manuscript "<em>An Examination of Circulation Characteristics in the Luzon Strait and the South China Sea using High-resolution Regional </em>Atmosphere-Ocean<em>Coupled Models</em>" submitted to <em>JGR-Oceans.</em>
DOI: 10.5281/zenodo.3594241
title: Data for "Coherent phonon dynamics in spatially-separated graphene mechanical resonators"

description: Data for "Coherent phonon dynamics in spatially-separated graphene mechanical resonators"
DOI: 10.5281/zenodo.3594242
title: Data for "Coherent phonon dynamics in spatially-separated graphene mechanical resonators"

description: Data for "Coherent phonon dynamics in spatially-separated graphene mechanical resonators"
DOI: 10.7910/dvn/kzug3w/5she3d
title: readme.pdf

description: :unav
DOI: 10.7910/dvn/kzug3w/j9vkdd
title: REPLICATION.zip

description: :unav
DOI: 10.21227/6n19-1293
title: Python program for Detecting abnormal Data in a PV plant Database - Validation Results from a 273kW NIST PV plant dataset

description: This folder contains two csv files and one .py file. One csv file contains NIST ground PV plant data imported from https://pvdata.nist.gov/. This csv file has 902 days raw data consisting PV plant POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage. Second csv file contains user created data. The Python file imports two csv files. The Python program executes four proposed corrupt data detection methods to detect corrupt data in NIST ground PV plant data. First and fourth methods are statistical approaches performing a direct comparison of the parameters. These two statistical methods can be applied from the first day of installing a PV plant. Second and third methods are machine learning based approaches involving training and testing procedures. These two machine learning approaches need some days of historical data prior to applying them. This program is useful to PV plant users, researchers, PV plant monitors, third party service providers to clean their PV plant datasets. By replacing the existing dataset set with their own dataset, one can use the program for filtering their data. This program requires the PV data set to have six parameters: POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage.
DOI: 10.7910/dvn/qk1vsa/avveye
title: ds01.csv

description: :unav
DOI: 10.5281/zenodo.3572790
title: The structure of species discrimination signals across a primate radiation: Cercopithecus mona looking time trials

description: Data and videos from looking time trials conducted with Cercopithecus mona subjects at CERCOPAN sanctuary in 2015.
DOI: 10.5281/zenodo.3572791
title: The structure of species discrimination signals across a primate radiation: Cercopithecus mona looking time trials

description: Data and videos from looking time trials conducted with Cercopithecus mona subjects at CERCOPAN sanctuary in 2015.
DOI: 10.5519/qd.qi1f4le9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (433783 records)
DOI: 10.21227/6av6-p171
title: Simulation data for a Monte Carlo Wave-Particle Event-Based Interaction Model

description: The data made available are the simulations of a time-resolved Monte Carlo model for use in quantitative as well as qualitative analysis of different types of particle atmospheres.
DOI: 10.25386/genetics.10266425
title: Supplemental Material for Falque et al., 2020

description: p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; background: transparent none repeat scroll 0% 0%; }p.western { font-family: "Liberation Serif", serif; font-size: 12pt; }p.cjk { font-family: "AR PL SungtiL GB"; font-size: 12pt; }p.ctl { font-family: "FreeSans"; }a:link { color: rgb(0, 0, 128); text-decoration: underline; } List of Supplementary Material<br>Supplementary Table S1. Detailed statistics of the three populations GABI, IBM, and WHEAT<br>Supplementary Table S2. Assessment of rates of true and false positives by visual inspection<br>Supplementary Figure S1. Examples of allele frequency profiles showing characteristic signatures of four different types of 1:2 or 2:1 CNVs.<br>Supplementary Figure S2. Examples of allele frequency profiles for each type of three-locus events found in wheat.<br>Supplementary Figure S3. Examples of allele frequency profiles showing different situations where no CNV was identified by the software.<br>Supplementary File S1. CNVmap software as an R package ( CNVmap12.tar.gz archive to open in R with the function install.packages() ).<br>Supplementary File S2. Compressed (.zip) archive of GABI data sets to run CNVmap.<br>Supplementary File S3. Compressed (.zip) archive of IBM data sets to run CNVmap.<br>Supplementary File S4. Compressed (.zip) archive of WHEAT data sets to run CNVmap.<br>Supplementary File S5. Supplementary Methods: specification of all CNV signatures recognized by the software CNVmap.<br>Supplementary File S6. Installing with Rstudio. Particular procedure for some versions of R/Rstudio.<br><br>
DOI: 10.25386/genetics.10266425.v1
title: Supplemental Material for Falque et al., 2020

description: p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; background: transparent none repeat scroll 0% 0%; }p.western { font-family: "Liberation Serif", serif; font-size: 12pt; }p.cjk { font-family: "AR PL SungtiL GB"; font-size: 12pt; }p.ctl { font-family: "FreeSans"; }a:link { color: rgb(0, 0, 128); text-decoration: underline; } List of Supplementary Material<br>Supplementary Table S1. Detailed statistics of the three populations GABI, IBM, and WHEAT<br>Supplementary Table S2. Assessment of rates of true and false positives by visual inspection<br>Supplementary Figure S1. Examples of allele frequency profiles showing characteristic signatures of four different types of 1:2 or 2:1 CNVs.<br>Supplementary Figure S2. Examples of allele frequency profiles for each type of three-locus events found in wheat.<br>Supplementary Figure S3. Examples of allele frequency profiles showing different situations where no CNV was identified by the software.<br>Supplementary File S1. CNVmap software as an R package ( CNVmap12.tar.gz archive to open in R with the function install.packages() ).<br>Supplementary File S2. Compressed (.zip) archive of GABI data sets to run CNVmap.<br>Supplementary File S3. Compressed (.zip) archive of IBM data sets to run CNVmap.<br>Supplementary File S4. Compressed (.zip) archive of WHEAT data sets to run CNVmap.<br>Supplementary File S5. Supplementary Methods: specification of all CNV signatures recognized by the software CNVmap.<br>Supplementary File S6. Installing with Rstudio. Particular procedure for some versions of R/Rstudio.<br><br>
DOI: 10.17632/ck4n6m4mrp.1
title: Data for: Logjams as curators of riparian polar ecosystems: examples from the Permian and Triassic of the Allan Hills, Antarctica

description: Tree ring measurements (raw), converted from Heidelberg format to excel. Average ring widths tabulated in order by the best statistical cross-matches between the cross-matched samples.
DOI: 10.17632/f5435dp45y.1
title: Data for: User-Avatar Bond Profiles: How do they associate with Disordered Gaming?
DOI: 10.26302/sshade/experiment_ag_20131028_000
title: Evolution with time of the MIR absorbance spectrum of Portlandite at -10, 0 and 10°C in contact with a mix of 1 bar CO2 gas and 1 bar air

description: Evolution with time of the MIR absorbance spectrum of Portlandite at -10, 0 and 10°C in contact with a mix of 1 bar CO2 gas and 1 bar air
DOI: 10.26302/sshade/experiment_ag_20130923_000
title: Evolution with time of the MIR absorbance spectrum of Portlandite at -10, 0 and 10°C in contact with 2 bar CO2 gas

description: Evolution with time of the MIR absorbance spectrum of Portlandite at -10, 0 and 10°C in contact with 2 bar CO2 gas
DOI: 10.26302/sshade/experiment_bs_20121217_001
title: NIR bidirectional reflection spectra (i=0-70°/e=0-70°/az=180°) of Smectite STx-1 (2 µm grains) at 263K, Patm

description: NIR bidirectional reflection spectra (i=0-70°/e=0-70°/az=180°) of Smectite STx-1 (2µm grains) at 263K and ambient pressure
DOI: 10.26302/sshade/experiment_bs_20121218_001
title: simulated NIR bidirectional reflection spectra (i=0-70°/e=0-70°/az=180°) of Na-Montmorillonite SWy-1 (20 µm grains) at 293K

description: simulated NIR bidirectional reflection spectra (i=0-70°/e=0-70°/az=180°) of Na-Montmorillonite SWy-1 (20µm grains) at 293K
DOI: 10.7910/dvn/xunap2/ixgxw7
title: 39K.tar.gz

description: 39K SNP Mixtures and profiles
DOI: 10.7910/dvn/xunap2/ybf3ne
title: 3K.tar.gz

description: 3K SNP Mixtures and profiles
DOI: 10.5519/qd.c2og8z03
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1561813 records)
DOI: 10.5519/qd.45xv52lf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (783173 records)
DOI: 10.5519/qd.62mhdn9a
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1341444 records)
DOI: 10.5519/qd.cht4z990
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (433783 records)
DOI: 10.5519/qd.jixndhxz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (365653 records)
DOI: 10.21227/jxg0-pe43
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the pre-alpha phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project is completely open-sourced.####status/latest addition: Nov 24, 2019####Tweets containing the term "android": 0.88 million-plusTweets containing the term "oneplus": 15 thousand-plusTweets containing the term "messi": 225 thousand-plusTweets containing the term "housefull 4": 346 thousand-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "iphone 11": 2 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.21227/thw3-z617
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the pre-alpha phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project is completely open-sourced.####status/latest addition: Dec 29, 2019####Tweets containing the term "facebook": 0.77 million-plusTweets containing the term "android": 0.88 million-plusTweets containing the term "oneplus": 15 thousand-plusTweets containing the term "messi": 225 thousand-plusTweets containing the term "housefull 4": 346 thousand-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "iphone 11": 2 million-plus##################References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.21227/zag2-5067
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the pre-alpha phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project is completely open-sourced.####status/latest addition: Dec 29, 2019####Tweets containing the term "facebook": 0.77 million-plusTweets containing the term "android": 0.88 million-plusTweets containing the term "oneplus": 15 thousand-plusTweets containing the term "messi": 225 thousand-plusTweets containing the term "housefull 4": 346 thousand-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "iphone 11": 2 million-plus##################References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.5281/zenodo.3594401
title: IO Islamic 218. Ta'rîkh-i-Shîrshâhî, History of the Life and Reign of Sulṭân Shîrshâh Sûr of Dihlî

description: IO Islamic 218. Ta’rîkh-i-Shîrshâhî, History of the Life and Reign of Sulṭân Shîrshâh Sûr of Dihlî
DOI: 10.5281/zenodo.3594402
title: IO Islamic 218. Ta'rîkh-i-Shîrshâhî, History of the Life and Reign of Sulṭân Shîrshâh Sûr of Dihlî

description: IO Islamic 218. Ta’rîkh-i-Shîrshâhî, History of the Life and Reign of Sulṭân Shîrshâh Sûr of Dihlî
DOI: 10.5281/zenodo.3594404
title: IO Islamic 2936. Ta'rîkh-i-Shîrshâhî.Hindûstânî Translation of Shîrshâh's Life

description: IO Islamic 2936. Ta’rîkh-i-Shîrshâhî.Hindûstânî Translation of Shîrshâh’s Life