cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/8xt86f/nyiwvu
title: 04_03_5_robustness_checks_tab_A2_col_5_boot_st_err.R

description: replication script for bootstrapped standard errors in table A2, column 5.
DOI: 10.7910/dvn/8xt86f/ogs9g6
title: 04_02_2_heterogeneity_tab_3_col_2_boot_st_err.R

description: replication script for bootstrapped standard errors in table 3, column 2.
DOI: 10.7910/dvn/8xt86f/qizkqq
title: 04_02_4_heterogeneity_tab_3_col_4_boot_st_err.R

description: replication script for bootstrapped standard errors in table 3, column 4.
DOI: 10.7910/dvn/8xt86f/vg7esl
title: 04_02_5_heterogeneity_tab_3_col_5_boot_st_err.R

description: replication script for bootstrapped standard errors in table 3, column 5.
DOI: 10.7910/dvn/8xt86f/wv825n
title: 04_02_1_heterogeneity_tab_3_col_1_boot_st_err.R

description: replication script for bootstrapped standard errors in table 3, column 1.
DOI: 10.15468/d5uwkb
title: Review of the Neotropical Genus Aleixus Mcdonald (Hemiptera: Heteroptera: Pentatomidae: Procleticini), with Description of a New Species and Cladistic Analysis of the Tribe Procleticini

description: This dataset contains the digitized treatments in Plazi based on the original journal article Schwertner, Cristiano F., Grazia, Jocelia (2012): Review of the Neotropical Genus Aleixus Mcdonald (Hemiptera: Heteroptera: Pentatomidae: Procleticini), with Description of a New Species and Cladistic Analysis of the Tribe Procleticini. Entomologica Americana 118 (1): 252-262, DOI: 10.1664/12-RA-034.1
DOI: 10.17632/gs5kyv4sv4.2
title: weighting function for cirrus
DOI: 10.5281/zenodo.3626228
title: Additional databases for mbtools

description: This provides additional data resources to reproduce analyses with the mbtools package.
DOI: 10.5281/zenodo.3626229
title: Additional databases for mbtools

description: This provides additional data resources to reproduce analyses with the mbtools package.
DOI: 10.7910/dvn/8xt86f/2kivqk
title: 04_04_4_heterogeneity_appendix_tab_A5_col_4_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 4.
DOI: 10.7910/dvn/8xt86f/f42pmt
title: 04_04_1_heterogeneity_appendix_tab_A5_col_1_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 1.
DOI: 10.7910/dvn/8xt86f/mdn2gz
title: 04_04_9_heterogeneity_appendix_tab_A5_col_9_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 9.
DOI: 10.7910/dvn/8xt86f/pwhorz
title: 04_04_10_heterogeneity_appendix_tab_A5_col_10_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 10.
DOI: 10.7910/dvn/8xt86f/rb4tiy
title: 04_02_3_heterogeneity_tab_3_col_3_boot_st_err.R

description: replication script for bootstrapped standard errors in table 3, column 3.
DOI: 10.7910/dvn/8xt86f/w612ww
title: 04_04_2_heterogeneity_appendix_tab_A5_col_2_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 2.
DOI: 10.7910/dvn/8xt86f/yalkzg
title: 04_03_3_robustness_checks_tab_A2_col_3_boot_st_err.R

description: replication script for bootstrapped standard errors in table A2, column 3.
DOI: 10.7910/dvn/8xt86f/ysdu4e
title: 04_04_7_heterogeneity_appendix_tab_A5_col_7_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 7.
DOI: 10.7910/dvn/8xt86f/axgqbm
title: 04_04_8_heterogeneity_appendix_tab_A5_col_8_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 8.
DOI: 10.7910/dvn/8xt86f/hozxho
title: 04_07_3_party_effects_ties_effects_timing_tab_A6_col_3_boot_st_err.R

description: replication script for bootstrapped standard errors in table A6, column 3.
DOI: 10.7910/dvn/8xt86f/lfewuq
title: 04_04_3_heterogeneity_appendix_tab_A5_col_3_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 3.
DOI: 10.7910/dvn/8xt86f/ot80tr
title: 04_06_horse_race_tab_A3_col_9_boot_st_err.R

description: replication script for bootstrapped standard errors in table A3, column 9.
DOI: 10.7910/dvn/8xt86f/qbq54y
title: 04_04_5_heterogeneity_appendix_tab_A5_col_5_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 5.
DOI: 10.7910/dvn/8xt86f/qiuvuf
title: 04_04_6_heterogeneity_appendix_tab_A5_col_6_boot_st_err.R

description: replication script for bootstrapped standard errors in table A5, column 6.
DOI: 10.7910/dvn/8xt86f/rv5f3n
title: 04_07_1_party_effects_ties_effects_timing_tab_A6_col_1_boot_st_err.R

description: replication script for bootstrapped standard errors in table A6, column 1.
DOI: 10.17632/572nyx5rbs.1
title: Data for: Local Search for Constrained Graph Clustering in Biological Networks

description: This work addresses a constrained graph clustering problem with applications on Protein-Protein Interaction (PPI) networks in cancer research. The method takes a subgraph of the PPI network as input and facilitates the identification of pathways in PPI networks, an important aid in identifying cancer driver genes from gene prioritization lists. Interaction graph G_i = (V, E_i) is an unweighted graph, where V represents a set of genes and E_i describes the interaction between each pair of genes. Two other weighted graphs express which pair of genes must or cannot be assigned to the same pathway: cannot-link graph G_c = (V, E_c) and must-link graph G_m = (V, E_m). The edges in E_c describe the penalty score for each pair of genes that should not be present in the same pathway, while the penalty for the pair which must belong to the same pathway is represented by E_m. The goal is to partition V into k groups such that each subset is a connected component in the interaction graph and the penalty of cannot-link and must-link constraint violation is minimized. There are three sets of instances: small-instance set (n &lt;= 300), medium-instance set (n &lt;= 2000) and large-instance set (n &gt; 10000). The set of small instances includes 54 real problem instances extracted from the HINT+HI2012 PPI network that belong to six different graph sizes: 50, 75, 100, 150, 200, and 300 nodes. The medium-instance set contains 60 synthetic problem instances having n in {250, 500, 750, 1000, 1500, 2000}. An n-size interaction network is formed from the physical protein-protein interaction network for human [1] by taking n random connected nodes and transferring all incident edges. The set of large instances includes 102 synthetic problem instances using original graphs from a collection of species-specific protein-protein association networks [2] whose sizes are from 10,000 to 40,000 nodes. [1] R. Rossi, N. Ahmed, The Network Data Repository with Interactive Graph Analytics and Visualization, in Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015. [2] D. Szklarczyk, J. H. Morris, H. Cook, M. Kuhn, S. Wyder, M. Simonovic, A. Santos, N. T. Doncheva, A. Roth, P. Bork, et al., The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible, Nucleic Acids Research (2016).
DOI: 10.5519/qd.u6n7r4th
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.7910/dvn/8xt86f/1zms97
title: 04_05_1_different_stages_tab_A7_col_1_boot_st_err.R

description: replication script for bootstrapped standard errors in table A7, column 1.
DOI: 10.7910/dvn/8xt86f/brge8i
title: codebook.pdf

description: codebook.
DOI: 10.7910/dvn/8xt86f/crkftx
title: boot_table_a6.R

description: a function used to bootstrap standard errors in table A.6, column 2 and 3.
DOI: 10.7910/dvn/8xt86f/de7df7
title: 04_07_4_party_effects_ties_effects_timing_tab_A6_col_4_boot_st_err.R

description: replication script for bootstrapped standard errors in table A6, column 4.
DOI: 10.7910/dvn/8xt86f/pqje2e
title: 04_05_3_different_stages_tab_A7_col_3_boot_st_err.R

description: replication script for bootstrapped standard errors in table A7, column 3.
DOI: 10.7910/dvn/8xt86f/q0rwbv
title: 04_07_2_party_effects_ties_effects_timing_tab_A6_col_2_boot_st_err.R

description: replication script for bootstrapped standard errors in table A6, column 2.
DOI: 10.7910/dvn/8xt86f/siuxf4
title: 04_05_2_different_stages_tab_A7_col_2_boot_st_err.R

description: replication script for bootstrapped standard errors in table A7, column 2.
DOI: 10.7910/dvn/8xt86f/xbyqdy
title: readme.txt

description: readme.
DOI: 10.17632/gtt7stf5x8.1
title: Intcatch aquatic drone sensor dataset

description: This dataset contains sensor traces (multivariate time series) of six data acquisition campaigns performed by autonomous aquatic drones involved in water monitoring. A total of 5.6 hours of navigation are available, with data coming from both lakes and rivers, and from different locations in Italy and Spain. The monitored variables concern both the internal state of the drone (e.g., battery voltage, GPS position and signals to propellers) and the state of the water (e.g., temperature, dissolved oxygen and electrical conductivity). Data were collected in the context of the EU-funded Horizon 2020 project INTCATCH (http://www.intcatch.eu) which aims to develop a new paradigm in the monitoring of river and lake water quality. Both autonomous and manual drive is used in different parts of the navigation.
DOI: 10.5281/zenodo.3627188
title: weecology/forecasts 2020-01-24

description: Archived forecasts for future analysis
DOI: 10.7910/dvn/t8vbkv/iaivvy
title: KS_state_level.tab

description: :unav
DOI: 10.7910/dvn/t8vbkv/lhjjum
title: KS_county_level.tab

description: :unav
DOI: 10.7910/dvn/6lvzm7/404vkj
title: ADKPV-Superstars-QJE-Replication-Package.zip

description: :unav
DOI: 10.7910/dvn/6lvzm7/hac2iy
title: Readme File.docx

description: :unav
DOI: 10.7910/dvn/t8vbkv/oyf77r
title: KS_PS_2019_replicaton.do

description: :unav
DOI: 10.7910/dvn/dynawt/5rbcuu
title: 03-Cedrela_odorata.txt

description: :unav
DOI: 10.7910/dvn/dynawt/a6xqpl
title: S7.txt

description: :unav
DOI: 10.7910/dvn/dynawt/av6oct
title: S4.txt

description: :unav
DOI: 10.7910/dvn/dynawt/cyogun
title: 01-Ateleia_herbert-smithii.txt

description: :unav
DOI: 10.7910/dvn/dynawt/jzw1qf
title: 17-Swietenia_macrophylla.txt

description: :unav
DOI: 10.7910/dvn/dynawt/sxjz73
title: S6.txt

description: :unav
DOI: 10.7910/dvn/dynawt/wzhqr0
title: 02-Ateleia_herbert-smithii.txt

description: :unav
DOI: 10.7910/dvn/dynawt/xwdx0q
title: L4.txt

description: :unav
DOI: 10.18112/openneuro.ds001787.v1.0.1
title: EEG meditation study
DOI: 10.5519/qd.g4wkl2lx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4497823 records)
DOI: 10.7910/dvn/dynawt/1jbs5z
title: 07-Curatella_ americana.txt

description: :unav
DOI: 10.7910/dvn/dynawt/3cnvsz
title: L6.txt

description: :unav
DOI: 10.7910/dvn/dynawt/ltj188
title: 09-Ficus.txt

description: :unav
DOI: 10.7910/dvn/dynawt/uk4elm
title: S2.txt

description: :unav
DOI: 10.7910/dvn/dynawt/vhoo8n
title: 16-Simarouba_ glauca.txt

description: :unav
DOI: 10.7910/dvn/dynawt/whuv2a
title: L1.txt

description: :unav
DOI: 10.7910/dvn/dynawt/zdxprd
title: 13-Psidium_guajava.txt

description: :unav
DOI: 10.7910/dvn/dynawt/zowfzy
title: 18-Swietenia_macrophylla.txt

description: :unav
DOI: 10.7910/dvn/dynawt/1npaon
title: 12-Guazuma_ulmifolia.txt

description: :unav
DOI: 10.7910/dvn/dynawt/5cwa5r
title: L3.txt

description: :unav
DOI: 10.7910/dvn/dynawt/8ddoqa
title: L5.txt

description: :unav
DOI: 10.7910/dvn/dynawt/cn3we9
title: 10-Gliricidia_sepium.txt

description: :unav
DOI: 10.7910/dvn/dynawt/hkqigx
title: S8.txt

description: :unav
DOI: 10.7910/dvn/dynawt/idxtjo
title: 05-Crescentia_alata.txt

description: :unav
DOI: 10.7910/dvn/dynawt/kebcir
title: S1.txt

description: :unav
DOI: 10.7910/dvn/dynawt/raqxlg
title: 06-Crescentia_alata.txt

description: :unav
DOI: 10.7910/dvn/dynawt/v32zrf
title: L2.txt

description: :unav
DOI: 10.7910/dvn/dynawt/whnj1w
title: S3.txt

description: :unav
DOI: 10.7910/dvn/dynawt/awtksg
title: S5.txt

description: :unav
DOI: 10.7910/dvn/dynawt/hdkrll
title: 19-Trichilia_americana.txt

description: :unav
DOI: 10.7910/dvn/dynawt/hnqsbb
title: L7.txt

description: :unav
DOI: 10.7910/dvn/dynawt/knzy5e
title: 14-Psidium_guajava.txt

description: :unav
DOI: 10.7910/dvn/dynawt/pjhdj1
title: 15-Quercus_oleoides.txt

description: :unav
DOI: 10.7910/dvn/dynawt/y7in2m
title: 08-Enterolobium_cyclocarpum.txt

description: :unav
DOI: 10.7910/dvn/dynawt/yrsudb
title: 11-Guazuma_ulmifolia.txt

description: :unav
DOI: 10.5281/zenodo.3626272
title: Synthetic datasets for "Earthquake rupture tracking with six degree-of-freedom ground motion observations: a synthetic proof of concept"

description: Synthetic datasets for the 2D and 3D rupture tracking examples shown in the manuscript "Earthquake rupture tracking with six degree-of-freedom ground motion observations: a synthetic proof of concept". The README file describes the data structures.
DOI: 10.5281/zenodo.3627215
title: European Procurement Markets as Bipartite Networks

description: <strong>EU Procurement Market Network Data</strong> Johannes Wachs<br> January 2020<br> <strong>*In case you use this data, please reference:</strong> Wachs, J., Fazekas, M. & Kertész, J. Corruption risk in contracting markets: a network science perspective. Int J Data Sci Anal (2020). 10.1007/s41060-019-00204-1 Available open access at: https://link.springer.com/article/10.1007%2Fs41060-019-00204-1 These 234 networks represent the annual national public procurement markets of 26 European countries from 2008-2016, inclusive. Data is sourced from Tenders Electronic Daily (TED), the official procurement portal of the European Union. Nodes with the suffix "_i" are issuers (sometimes referred to as buyers) of public contracts, for instance public hospitals, ministries, local governments. Nodes with the suffix "_w" are winners (sometimes called suppliers) of public contracts, generally private-sector firms. Identities have been statistically deduplicated, as described in the paper. Each network is bipartite: edges only exist between issuers and winners. Edges represent contracting relationships and have two attributes: ``count'' measures the volume of contracts between the issuer and winner in the given year. This attribute can be interpreted as a weight or strength of the relationship. ``pctSingleBid'' describes the share of contracts between the issuer and winner awarded without competition, i.e. with the winner as single bidder or sole-supplier. Note: missing data on single-bidding is imputed. This is an elementary indicator of corruption risk of the contract. For more information consult the paper referenced above. Ids of issuers and winners are consistent across time and within countries. Node ids have been randomly generated and do not correspond to any official statistics. The networks are stored in the GML format. For example: they can be read in directly by Gephi or by the Python NetworkX library with the following commands (using the 2010 Portuguese market as an example): import networkx as nx<br> G=nx.read_gml('country_year_networks/PT_2010.gml')
DOI: 10.5281/zenodo.3627216
title: European Procurement Markets as Bipartite Networks

description: <strong>EU Procurement Market Network Data</strong> Johannes Wachs<br> January 2020<br> <strong>*In case you use this data, please reference:</strong> Wachs, J., Fazekas, M. & Kertész, J. Corruption risk in contracting markets: a network science perspective. Int J Data Sci Anal (2020). 10.1007/s41060-019-00204-1 Available open access at: https://link.springer.com/article/10.1007%2Fs41060-019-00204-1 These 234 networks represent the annual national public procurement markets of 26 European countries from 2008-2016, inclusive. Data is sourced from Tenders Electronic Daily (TED), the official procurement portal of the European Union. Nodes with the suffix "_i" are issuers (sometimes referred to as buyers) of public contracts, for instance public hospitals, ministries, local governments. Nodes with the suffix "_w" are winners (sometimes called suppliers) of public contracts, generally private-sector firms. Identities have been statistically deduplicated, as described in the paper. Each network is bipartite: edges only exist between issuers and winners. Edges represent contracting relationships and have two attributes: ``count'' measures the volume of contracts between the issuer and winner in the given year. This attribute can be interpreted as a weight or strength of the relationship. ``pctSingleBid'' describes the share of contracts between the issuer and winner awarded without competition, i.e. with the winner as single bidder or sole-supplier. Note: missing data on single-bidding is imputed. This is an elementary indicator of corruption risk of the contract. For more information consult the paper referenced above. Ids of issuers and winners are consistent across time and within countries. Node ids have been randomly generated and do not correspond to any official statistics. The networks are stored in the GML format. For example: they can be read in directly by Gephi or by the Python NetworkX library with the following commands (using the 2010 Portuguese market as an example): import networkx as nx<br> G=nx.read_gml('country_year_networks/PT_2010.gml')
DOI: 10.7910/dvn/dynawt/lmqfci
title: 04-Cedrela_odorata.txt

description: :unav
DOI: 10.25625/c93dpu/rgqen4
title: Workflow-zur-OER-Erstellung-Erläuterung

description: :unav
DOI: 10.15468/qmrusy
title: A new species of Daploeuros Watts (Coleoptera: Scirtidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ruta, Rafał (2020): A new species of Daploeuros Watts (Coleoptera: Scirtidae). Zootaxa 4728 (3): 334-340, DOI: https://doi.org/10.11646/zootaxa.4728.3.2
DOI: 10.17632/56w9bydf5n.1
title: Data for: A Real Business Cycle Model with Money as a Sunspot Variable

description: Data for the paper
DOI: 10.17632/7hycyc59tb.1
title: Data for: Toddlers’ Word Learning through Overhearing: Others’ Attention Matters

description: Data for article Toddler's word learning through overhearing: Joint attention matters. Data for target selection is binary (1 = target selected, 0 = non-target selected).
DOI: 10.17632/ngvcn3fd4b.1
title: Data for: Novel Passive Ankle-Foot Prosthesis Mimics Able-Bodied Ankle Angles and Ground Reaction Forces

description: Ankle angle and ground reaction force data for 10 subjects collected using the Computer Assisted Rehabilitation Environment. Up to 15 typical steps were chosen within 100ms and scaled. "_Mean" indicates the mean step value, "_dev" indicated the standard deviation between the typical steps, and "_num" indicated the number of steps chosen. Tabs are labeled according to subject order and the rows are in the order SACH Foot No Mass, SACH Foot With Mass, Renegade No Mass, Renegade With Mass, CAPA-small-radius-compliant, CAPA-foot-small-radius-stiff, CAPA-foot-large-radius-compliant, and CAPA-foot-large-radius-stiff. The individual subject information is given by the pdf. During analysis, the ankle ankle subject 1 SACH foot with weight and CAPA-foot-large-radius-stiff; subject 4 CAPA-foot-compliant; subject 5 CAPA-foot-large-radius; subject 7 CAPA-foot-stiff and CAPA-foot-large-radius-compliant heel angles were removed because of difficulties post-processing the data. The force subject 1 SACH foot with weight and CAPA-foot-large-radius-stiff; subject 5 CAPA-foot-large-radius; and subject 7 CAPA-foot-small-radius-stiff were removed from the residual limb graphs and subject 7 CAPA-foot-stiff trials were removed from the intact limb graphs because of difficulties post-processing the data.
DOI: 10.5281/zenodo.3627636
title: SOTorrent Dataset

description: Stack Overflow (SO) is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on SO evolve over time, for example when bugs in code snippets are fixed, code is updated to work with a more recent library version, or text surrounding a code snippet is edited for clarity. To be able to analyze how content on SO evolves, we built <em>SOTorrent</em>, an open dataset based on the official SO data dump. <em>SOTorrent </em>provides access to the version history of SO content at the level of whole posts and individual text or code blocks. It connects SO posts to other platforms by aggregating URLs from text blocks and comments, and by collecting references from GitHub files to SO posts. Our vision is that researchers will use <em>SOTorrent </em>to investigate and understand the evolution of SO posts and their relation to other platforms such as GitHub. <strong>If you use this dataset in your work, please cite our MSR 2018 paper (BibTex) or our MSR 2019 mining challenge proposal.</strong>
description: The dataset is based on the official Stack Overflow data dump released 2019-12-02 (https://archive.org/details/stackexchange) and the Google BigQuery GitHub data set queried 2020-01-24 and last updated 2020-01-24 according to table info (https://cloud.google.com/bigquery/public-data/github). Please read the license files (LICENSE.md) before using the dataset.
DOI: 10.17632/vmc4m3r8fz.1
title: Data for: Fast location and classification of small targets using region segmentation and a convolutional neural network

description: A custom dataset of 1500 target images after shell breaking
DOI: 10.5281/zenodo.3627637
title: Research Data Supporting "Understanding Structural and Electronic Properties of Bismuth Trihalides and Related Compounds"

description: Research Data Supporting "Understanding Structural and Electronic Properties of Bismuth Trihalides and Related Compounds" DOI: 10.1021/acs.inorgchem.9b03214
DOI: 10.5281/zenodo.3627273
title: Resources for reproducing experiments in "Novel Entity Discovery from Web Tables"

description: This repository contains resources developed for the paper: "S. Zhang, E. Meij, K. Balog, and R. Reinanda. Novel Entity Discovery from Web Tables. In: Proceeding of the The Web Conference 2020 (WWW ’20), April 2020". It includes the three test collections for novel entity discovery for Web tables, entity type and mention resolution, as well as the mention-entity and heading-property correspondences for 3M tables. The cited datasets were used in this work. Files to recreate the entity linking experiments: training_el.csv training_el_type.csv training_el_type_wiki.csv training_el_wiki.csv training_schema.csv Files to recreate the table matching experiments: me_corres.csv - textual cells algorithmically linked to Wikipedia entities hp_corres.csv - same but only table headings Files to recreate the entity resolution experiments: ec_golden.csv - 20K unlinked mentions textual cells, manually linked to Wikipedia er_sf_golden.csv - 1K cell values, manually clustered er_type_golden.csv - 1K cell values, manually linked to DBpedia types
DOI: 10.5281/zenodo.3627274
title: Resources for reproducing experiments in "Novel Entity Discovery from Web Tables"

description: This repository contains resources developed for the paper: "S. Zhang, E. Meij, K. Balog, and R. Reinanda. Novel Entity Discovery from Web Tables. In: Proceeding of the The Web Conference 2020 (WWW ’20), April 2020". It includes the three test collections for novel entity discovery for Web tables, entity type and mention resolution, as well as the mention-entity and heading-property correspondences for 3M tables. The cited datasets were used in this work. Files to recreate the entity linking experiments: training_el.csv training_el_type.csv training_el_type_wiki.csv training_el_wiki.csv training_schema.csv Files to recreate the table matching experiments: me_corres.csv - textual cells algorithmically linked to Wikipedia entities hp_corres.csv - same but only table headings Files to recreate the entity resolution experiments: ec_golden.csv - 20K unlinked mentions textual cells, manually linked to Wikipedia er_sf_golden.csv - 1K cell values, manually clustered er_type_golden.csv - 1K cell values, manually linked to DBpedia types