cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4320200
title: Data from the parametric analysis of masonry panels with limit analysis

description: For each one of the simulations performed from the parametric analysis of masonry panels with limit analysis, this database contains a .txt, a .vtk and a .png file. In the .txt file the elapse time and the collapse multiplier of each simulation can be found. The .vtk file contains all the geometry and displacement values of every masonry panel. Finally, the .png file presents the collapse mechanism obtained.
DOI: 10.21258/1624754
title: Inventario forestale nazionale svizzero - Tabella n. 891955
DOI: 10.6084/m9.figshare.13373003.v1
title: 2016台风及暴雨相关的微博数据

description: 该数据包括了2016年6月-12月期间在微博中出现的与台风、暴雨相关的数据。具体字段包括：<br>text 微博文本；<br><br>mood 微博情绪, 0为愤怒，1为厌恶，2为高兴，3为悲伤，4为恐惧，-1为无情绪；<br>is_spam 不使用；<br>created_at 创建时间；<br>user_id 用户id；<br>user_city 城市；<br>user_province 省份；<br>user_location 用户位置；<br>user_verified 是否认证用户, 1为认证；<br>forward_source 转发来源；<br>mentioned_users 提到的用户；<br>predict_label 有效性预测标签， 1为有效的与自然灾害相关的数据。
DOI: 10.21258/1604095
title: Inventario forestale nazionale svizzero - Tabella n. 897393
DOI: 10.21258/1550681
title: Inventaire forestier national suisse - Tableau no 899313
DOI: 10.21258/1593035
title: Inventario forestale nazionale svizzero - Tabella n. 899133
DOI: 10.21258/1615455
title: Inventario forestale nazionale svizzero - Tabella n. 897377
DOI: 10.21258/1532626
title: Inventaire forestier national suisse - Tableau no 898549
DOI: 10.21258/1548124
title: Inventaire forestier national suisse - Tableau no 898036
DOI: 10.6084/m9.figshare.13377335
title: Kaplan-Meier Curves: R script

description: This is the code for the Kaplan-Meier curves and corresponding statistical analysis for Agnew et al. 2020
DOI: 10.21258/1597051
title: Inventario forestale nazionale svizzero - Tabella n. 897288
DOI: 10.21258/1613868
title: Inventario forestale nazionale svizzero - Tabella n. 891782
DOI: 10.21258/1534347
title: Inventaire forestier national suisse - Tableau no 897585
DOI: 10.34740/kaggle/dsv/1731818
title: CSS Mexico
DOI: 10.21258/1570664
title: Inventaire forestier national suisse - Tableau no 891807
DOI: 10.21258/1570692
title: Inventaire forestier national suisse - Tableau no 891749
DOI: 10.21258/1577449
title: Inventario forestale nazionale svizzero - Tabella n. 898371
DOI: 10.21258/1575240
title: Inventaire forestier national suisse - Tableau no 897174
DOI: 10.21258/1608717
title: Inventario forestale nazionale svizzero - Tabella n. 898177
DOI: 10.21258/1531294
title: Inventaire forestier national suisse - Tableau no 899438
DOI: 10.21258/1593918
title: Inventario forestale nazionale svizzero - Tabella n. 898246
DOI: 10.21258/1542798
title: Inventaire forestier national suisse - Tableau no 892038
DOI: 10.3886/e128421v1
title: 2018 OMGYES Women’s Pleasure Study - Angling, Rocking, Shallowing and Pairing Items

description: The 2018 OMGYES Women’s Pleasure Study is a nationally representative study that examines women's preferences for internal penetration and stimulation. The data set includes population weights, demographic information and four approaches to stimulation/penetration: angling, rocking, shallowing and pairing.
DOI: 10.3886/e124681v8
title: Supplementary materials for report “Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia”

description: The report presents an unprecedented stocktaking of all CGIAR-related innovations in a given country as well as new estimates of adoption of those innovations from a nationally representative dataset generated through a partnership among the Ethiopian Central Statistics Agency (CSA), the World Bank Living Standards Measurement Study (LSMS) team, and the CGIAR Standing Panel on Impact Assessment (SPIA). Ethiopia was chosen for this exercise because it is a hotspot of CGIAR research, with almost all the CGIAR centers represented in Addis Ababa. <br> <br>The report documents the reach of CGIAR-related agricultural innovations in a comprehensive manner across the core domains of CGIAR research activity: animal agriculture; crop germplasm improvement; natural resource management; and policy research. In order to identify the right innovations to collect data on, SPIA conducted more than 90 interviews with CGIAR research leaders, scientists, government officials, and colleagues from the Ethiopian Institute for Agricultural Research (EIAR), all the while compiling documented evidence to support claims made by these key informants. The output of that work is a stocktaking of 52 agricultural innovations and 26 claims of policy influence.<br><br>Quantitative evidence on the adoption of 18 of these innovations was obtained through the incorporation of measurements of the reach of these innovations in the Ethiopian Socioeconomic Survey (ESS), a regionally and nationally representative panel survey of households. We report some data from the third wave (ESS3, carried out in 2015/16), but our major focus is on ESS4 (2018/19).
DOI: 10.3886/e128821
title: The investment portfolio of the Swiss National Bank and its carbon footprint

description: This is data on the carbon footprint of the portfolio of the Swiss National Bank, broken down in greenhouse gases by the 100 most polluting companies in the world. There are two series:One based on the global emissions as calculated by other studiesAnother one based on Carbon Disclosure Project (CDP) data including different extrapolations<br><br>
DOI: 10.3886/e128821v1
title: The investment portfolio of the Swiss National Bank and its carbon footprint

description: This is data on the carbon footprint of the portfolio of the Swiss National Bank, broken down in greenhouse gases by the 100 most polluting companies in the world. There are two series:One based on the global emissions as calculated by other studiesAnother one based on Carbon Disclosure Project (CDP) data including different extrapolations<br><br>
DOI: 10.3886/e119451
title: National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts, United States, 2008-2017

description: This dataset contains measures of socioeconomic and demographic characteristics by US census tract for the years 2008-2017. Example measures include population density; population distribution by race, ethnicity, age, and income; and proportion of population living below the poverty level, receiving public assistance, and female-headed families. The dataset also contains a set of index variables to represent neighborhood disadvantage and affluence.
description: This dataset complements a similar version (National Neighborhood Data Archive [NaNDA]: Neighborhood Socioeconomic and Demographic Characteristics of Census Tracts, United States, 2000-2010, https://www.openicpsr.org/openicpsr/project/111107/) which is based on the same theoretical findings and covers the period 2000-2010. Users wanting to combine this dataset with measures from 2000-2010 should be aware of key differences between how measures are calculated across the two datasets. For more information, see the "Usage Note" section of the documentation.
description: All census tracts in the United States, including Puerto Rico. Smallest Geographic Unit: census tract
DOI: 10.3886/e112894v1-72160
title: Replication data for: Credit Supply and the Price of Housing

description: An exogenous expansion in mortgage credit has significant effects on house prices. This finding is established using US branching deregulations between 1994 and 2005 as instruments for credit. Credit increases for deregulated banks, but not in placebo samples. Such differential responses rule out demand-based explanations, and identify an exogenous credit supply shock. Because of geographic diversification, treated banks expand credit: housing demand increases, house prices rise, but to a lesser extent in areas with elastic housing supply, where the housing stock increases instead. In an instrumental variable sense, house prices are well explained by the credit expansion induced by deregulation. (JEL G21, G28, R21, R31)
DOI: 10.5281/zenodo.4321921
title: Variational Database Usecases

description: Two use cases of variational databases, one with respect to time (employee dataset) and another with respect to space (email SPL dataset). Includes: the creation queries for each database in MySQL and PostgreSQL the variational schema for each database in SQL and v-schema encoding in Haskell the selective variational queries for each database in VRA (Variational Relational Algebra) and #ifdef-annotated SQL Matching description of the idea and the encoding of variational databases and variational queries can be found in our paper: "Should Variation be Encoded Explicitly in Databases?", VaMoS 2021
DOI: 10.5281/zenodo.4321920
title: Variational Database Usecases

description: Two use cases of variational databases, one with respect to time (employee dataset) and another with respect to space (email SPL dataset). Includes: the creation queries for each database in MySQL and PostgreSQL the variational schema for each database in SQL and v-schema encoding in Haskell the selective variational queries for each database in VRA (Variational Relational Algebra) and #ifdef-annotated SQL Matching description of the idea and the encoding of variational databases and variational queries can be found in our paper: "Should Variation be Encoded Explicitly in Databases?", VaMoS 2021
DOI: 10.21258/1571921
title: Inventaire forestier national suisse - Tableau no 891936
DOI: 10.21258/1586778
title: Inventario forestale nazionale svizzero - Tabella n. 891852
DOI: 10.21258/1572504
title: Inventaire forestier national suisse - Tableau no 891782
DOI: 10.21258/1597146
title: Inventario forestale nazionale svizzero - Tabella n. 902192
DOI: 10.21258/1578438
title: Inventario forestale nazionale svizzero - Tabella n. 898001
DOI: 10.21258/1581259
title: Inventario forestale nazionale svizzero - Tabella n. 897088
DOI: 10.21258/1617611
title: Inventario forestale nazionale svizzero - Tabella n. 891688
DOI: 10.21258/1576109
title: Inventaire forestier national suisse - Tableau no 897357
DOI: 10.21258/1542789
title: Inventaire forestier national suisse - Tableau no 899124
DOI: 10.21258/1622706
title: Inventario forestale nazionale svizzero - Tabella n. 902050
DOI: 10.21258/1604443
title: Inventario forestale nazionale svizzero - Tabella n. 893046
DOI: 10.17632/k9bbsz5g24.1
title: Data for: New haramyid and reptile fossils from a Rhaetian bedded sequence close to the famous 'Microlestes' Quarry of Holwell, UK.

description: Details of measurements of Haramyid and reptile specimens from Holwell.
DOI: 10.21258/1598184
title: Inventario forestale nazionale svizzero - Tabella n. 891711
DOI: 10.21258/1592329
title: Inventario forestale nazionale svizzero - Tabella n. 899644
DOI: 10.21258/1604040
title: Inventario forestale nazionale svizzero - Tabella n. 899528
DOI: 10.21258/1614034
title: Inventario forestale nazionale svizzero - Tabella n. 896996
DOI: 10.21258/1614654
title: Inventario forestale nazionale svizzero - Tabella n. 897072
DOI: 10.21258/1581967
title: Inventario forestale nazionale svizzero - Tabella n. 892032
DOI: 10.21258/1542509
title: Inventaire forestier national suisse - Tableau no 902103
DOI: 10.21258/1625258
title: Inventario forestale nazionale svizzero - Tabella n. 898011
DOI: 10.21258/1554178
title: Inventaire forestier national suisse - Tableau no 899289
DOI: 10.21258/1551401
title: Inventaire forestier national suisse - Tableau no 897990
DOI: 10.21258/1561578
title: Inventaire forestier national suisse - Tableau no 899171
DOI: 10.21258/1594998
title: Inventario forestale nazionale svizzero - Tabella n. 897041
DOI: 10.6084/m9.figshare.13297712
title: Abundance of bacterial species

description: Abundance of bacterial species from fermented milk samples at the different geographical distances
DOI: 10.6084/m9.figshare.13297715
title: Identation and quantation of metabolites

description: Identation and quantation of metabolites from fermented milks samples at the different geographical distances
DOI: 10.6084/m9.figshare.13297715.v1
title: Identation and quantation of metabolites

description: Identation and quantation of metabolites from fermented milks samples at the different geographical distances
DOI: 10.21258/1543683
title: Inventaire forestier national suisse - Tableau no 899095
DOI: 10.5281/zenodo.4305180
title: Queensland Koala Habitat Mapping

description: This dataset maps koala habitat across Queensland. Predictions of koala habitat in Queensland were developed using a protocol adapted from that used to map habitat in SEQ. Briefly, regional ecosystems were ranked according to their predicted utility to koalas and overlaid with predictions of the environmental suitability of the landscape for koalas to generate a predicted ranking of utility of habitat for koalas in each planning unit. This dataset was developed to inform broad-scale conservation planning associated with the National Koala Recovery plan. The spatial resolution is 1km (100ha) and it is not intended for identifying habitat at a fine scale, nor for use in environmental assessments or regulatory activities. The dataset has not been ground-truthed. Some areas identified as potential habitat may be too degraded or contain insufficient resources for koalas to occupy. Koalas may be present outside the areas identified as potential habitat. For uses within the South-East Queensland planning area we recommend using alternate mapping DES. 2020. Spatial modelling for koalas in South East Queensland: Report version 1.0. Koala Habitat Areas (KHA) v1.0. Further information is available in the report and README in this repository.
description: This project is supported through funding from the Australian Government's National Environmental Science Program project 4.4.12.
DOI: 10.21258/1612713
title: Inventario forestale nazionale svizzero - Tabella n. 898257
DOI: 10.21258/1582347
title: Inventario forestale nazionale svizzero - Tabella n. 899321
DOI: 10.21258/1532849
title: Inventaire forestier national suisse - Tableau no 891784
DOI: 10.21258/1584622
title: Inventario forestale nazionale svizzero - Tabella n. 898740
DOI: 10.21258/1534388
title: Inventaire forestier national suisse - Tableau no 899267
DOI: 10.21258/1534366
title: Inventaire forestier national suisse - Tableau no 899640
DOI: 10.21258/1530978
title: Inventaire forestier national suisse - Tableau no 897401
DOI: 10.21258/1601646
title: Inventario forestale nazionale svizzero - Tabella n. 891832
DOI: 10.21258/1623243
title: Inventario forestale nazionale svizzero - Tabella n. 892001
DOI: 10.21258/1596373
title: Inventario forestale nazionale svizzero - Tabella n. 897892
DOI: 10.21258/1614087
title: Inventario forestale nazionale svizzero - Tabella n. 897385
DOI: 10.5281/zenodo.4321958
title: Python code for Monte Carlo Simulation of dynein stepping

description: This project is described in: Three-color single-molecule imaging reveals conformational dynamics of dynein undergoing motility (2020) and can be found on BioRxiv: (link to follow) Here, we provide the custom python code that is used simulate the stepping of dynein based on experimental data. Details on how the code works are given in the script itself. Moreover, we provided a pdf, which shows plots of all the input data. There are three different python scripts: Monte-Carlo-simulation_Dynein-stepping.py Monte-Carlo-simulation_Dynein-stepping_flexible-ring-position.py Monte-Carlo-simulation_Dynein-stepping_fixed-ring-angle.py And six folders with different experimental input data: Experimental-data-to-run-simulation_MT Experimental-data-to-run-simulation_MT_MTBD-distance-independent-angle Experimental-data-to-run-simulation_MT_no-forward-bias Experimental-data-to-run-simulation_MT_no-leading-trailing Experimental-data-to-run-simulation_MT_no-left-right Experimental-data-to-run-simulation_MT_no-stepping-bias The first python script can be used to generate the stepping movies (Supplementary Movies 3-10). The second python script is used to generate stepping traces and all other plots. The last python script is a special version of number one and two as it simulates the stepping of dynein for a fixed stalk-microtubule angle. It can generate stepping movies as well as stepping traces and all other plots. In order to simulate stepping of dynein for a wild-type condition, the first experimental dataset should be used as input (this dataset is also used for the fixed angle simulation). The other five datasets are used to simulate stepping of dynein when specific rules are ignored: for an on-axis distance-dependent bias to take more forward than backward steps (dataset #3), a distance-dependent bias to close the gap between the motor domains along the on- and off-axis when taking a step (dataset #4 and 5, respectively), a higher probability for the trailing domain instead of the leading domain to take the next step (dataset #6), and the relative movement between AAA ring and MTBD (for fixed angle see comments above and for MTBD on-axis distance independent angle changes dataset #2)
DOI: 10.5281/zenodo.4321957
title: Python code for Monte Carlo Simulation of dynein stepping

description: This project is described in: Three-color single-molecule imaging reveals conformational dynamics of dynein undergoing motility (2020) and can be found on BioRxiv: (link to follow) Here, we provide the custom python code that is used simulate the stepping of dynein based on experimental data. Details on how the code works are given in the script itself. Moreover, we provided a pdf, which shows plots of all the input data. There are three different python scripts: Monte-Carlo-simulation_Dynein-stepping.py Monte-Carlo-simulation_Dynein-stepping_flexible-ring-position.py Monte-Carlo-simulation_Dynein-stepping_fixed-ring-angle.py And six folders with different experimental input data: Experimental-data-to-run-simulation_MT Experimental-data-to-run-simulation_MT_MTBD-distance-independent-angle Experimental-data-to-run-simulation_MT_no-forward-bias Experimental-data-to-run-simulation_MT_no-leading-trailing Experimental-data-to-run-simulation_MT_no-left-right Experimental-data-to-run-simulation_MT_no-stepping-bias The first python script can be used to generate the stepping movies (Supplementary Movies 3-10). The second python script is used to generate stepping traces and all other plots. The last python script is a special version of number one and two as it simulates the stepping of dynein for a fixed stalk-microtubule angle. It can generate stepping movies as well as stepping traces and all other plots. In order to simulate stepping of dynein for a wild-type condition, the first experimental dataset should be used as input (this dataset is also used for the fixed angle simulation). The other five datasets are used to simulate stepping of dynein when specific rules are ignored: for an on-axis distance-dependent bias to take more forward than backward steps (dataset #3), a distance-dependent bias to close the gap between the motor domains along the on- and off-axis when taking a step (dataset #4 and 5, respectively), a higher probability for the trailing domain instead of the leading domain to take the next step (dataset #6), and the relative movement between AAA ring and MTBD (for fixed angle see comments above and for MTBD on-axis distance independent angle changes dataset #2)
DOI: 10.21258/1538433
title: Inventaire forestier national suisse - Tableau no 899449
DOI: 10.21258/1557435
title: Inventaire forestier national suisse - Tableau no 897631
DOI: 10.21258/1579425
title: Inventario forestale nazionale svizzero - Tabella n. 897395
DOI: 10.21258/1564113
title: Inventaire forestier national suisse - Tableau no 898859
DOI: 10.21258/1612214
title: Inventario forestale nazionale svizzero - Tabella n. 893026
DOI: 10.5519/qd.vd1isqdb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21258/1583599
title: Inventario forestale nazionale svizzero - Tabella n. 899597
DOI: 10.21258/1548211
title: Inventaire forestier national suisse - Tableau no 891775
DOI: 10.5281/zenodo.4321962
title: Python code and experimental data of three-color dynein stepping

description: This project is described in: Three-color single-molecule imaging reveals conformational dynamics of dynein undergoing motility (2020) and can be found on BioRxiv: (link to follow) Here, we provide the experimental data of the three-color dynein stepping experiments together with the custom python code used for data analysis. Details on how the code works are given in the script itself.
DOI: 10.5281/zenodo.4321961
title: Python code and experimental data of three-color dynein stepping

description: This project is described in: Three-color single-molecule imaging reveals conformational dynamics of dynein undergoing motility (2020) and can be found on BioRxiv: (link to follow) Here, we provide the experimental data of the three-color dynein stepping experiments together with the custom python code used for data analysis. Details on how the code works are given in the script itself.
DOI: 10.21258/1569599
title: Inventaire forestier national suisse - Tableau no 892965
DOI: 10.25810/zb7c-gf43.10
title: Oceania Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - October 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25400/lincolnuninz.13371368.v1
title: Appendices to Defining the mechanism of Yersinia entomophaga MH96 exoprotein release (PhD thesis)

description: Table S3: Transcriptomics QS mutant KTMS23 compared to wild type strain Y. entomophaga MH96Table S6:Transcriptomics of r<i>oeA</i> mutant KTMS12Table S8: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 -Cluster 1.Table S9: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 – Cluster 4Table S10: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 – Cluster 5 and Cluster 7Table S11: Comparison of Down-regulated genes in KTMS12, KTMS23 with genes of Cluster 5 and 7 from the fermenter, derived from transcriptome dataTable S12: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 – Cluster 2 Table S13: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 – Cluster 3<br>
DOI: 10.25400/lincolnuninz.13371368
title: Appendices to Defining the mechanism of Yersinia entomophaga MH96 exoprotein release (PhD thesis)

description: Table S3: Transcriptomics QS mutant KTMS23 compared to wild type strain Y. entomophaga MH96Table S6:Transcriptomics of r<i>oeA</i> mutant KTMS12Table S8: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 -Cluster 1.Table S9: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 – Cluster 4Table S10: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 – Cluster 5 and Cluster 7Table S11: Comparison of Down-regulated genes in KTMS12, KTMS23 with genes of Cluster 5 and 7 from the fermenter, derived from transcriptome dataTable S12: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 – Cluster 2 Table S13: Transcriptomics of fermenter of <i>Y. entomophaga</i> MH96 – Cluster 3<br>
DOI: 10.21258/1575083
title: Inventaire forestier national suisse - Tableau no 899114
DOI: 10.25810/zb7c-gf43.11
title: Oceania Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - November 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.