cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4430891
title: OWWC assemblies 3

description: De novo assemblies of Ae. tauschii accessions sequenced in OWWC (http://www.openwildwheat.org/).
DOI: 10.5281/zenodo.4430890
title: OWWC assemblies 3

description: De novo assemblies of Ae. tauschii accessions sequenced in OWWC (http://www.openwildwheat.org/).
DOI: 10.6084/m9.figshare.13551491.v1
title: Supplemental Table 1

description: Monocyte donor characteristics including genotype, age, sex, CFTR mutation, CFTR modulators and FEV1 % predicted.<br>
DOI: 10.6084/m9.figshare.13551491
title: Supplemental Table 1

description: Monocyte donor characteristics including genotype, age, sex, CFTR mutation, CFTR modulators and FEV1 % predicted.<br>
DOI: 10.6084/m9.figshare.13551485
title: Supplemental Table 2

description: Fold changes and p-values for baseline cytokine secretion of CF MDM vs. WT MDM.
DOI: 10.6084/m9.figshare.13551485.v1
title: Supplemental Table 2

description: Fold changes and p-values for baseline cytokine secretion of CF MDM vs. WT MDM.
DOI: 10.6084/m9.figshare.13551488.v1
title: Supplemental Table 3

description: Fold changes and p-values from RNAseq analysis of WT and CF monocyte derived macrophages from 3 donors each exposed to extracellular vesicles from airway epithelial cells (EV) or extracellular vesicles from airway epithelial cells after <i>Pseudomonas aeruginosa </i>exposure (EV-PA).
DOI: 10.6084/m9.figshare.13551488
title: Supplemental Table 3

description: Fold changes and p-values from RNAseq analysis of WT and CF monocyte derived macrophages from 3 donors each exposed to extracellular vesicles from airway epithelial cells (EV) or extracellular vesicles from airway epithelial cells after <i>Pseudomonas aeruginosa </i>exposure (EV-PA).
DOI: 10.5281/zenodo.4430868
title: Machine learning reactive mixing dataset-21

description: Reactive-mixing dataset-6.1 for machine learning analyses
description: For DIB article
DOI: 10.5281/zenodo.4430867
title: Machine learning reactive mixing dataset-21

description: Reactive-mixing dataset-6.1 for machine learning analyses
description: For DIB article
DOI: 10.6084/m9.figshare.13551572
title: Supplementary Tables for Thyroid cancer.docx

description: <b><i>Detailed Newcastle-Ottawa Scale of Each Included Cohort Study and Case-Control study.</i></b>
DOI: 10.6084/m9.figshare.13551572.v1
title: Supplementary Tables for Thyroid cancer.docx

description: <b><i>Detailed Newcastle-Ottawa Scale of Each Included Cohort Study and Case-Control study.</i></b>
DOI: 10.5281/zenodo.4430968
title: Datasets of recordings of electrical activity of substrates colonised by oyster fungi P. ostreatus and P. djamor.

description: Datasets of recordings of electrical activity of substrates colonised by oyster fungi P. ostreatus and P. djamor.
DOI: 10.5281/zenodo.4430967
title: Datasets of recordings of electrical activity of substrates colonised by oyster fungi P. ostreatus and P. djamor.

description: Datasets of recordings of electrical activity of substrates colonised by oyster fungi P. ostreatus and P. djamor.
DOI: 10.25919/y9td-mc77
title: Parkes observations for project P1032 semester 2020OCTS_03

description: This project aims to perform rapid measurements of relativistic parameters of southern binary pulsar systems enabling measurement of their component masses, using data from the Parkes Ultra-Wideband Low (UWL) receiver and the MeerKAT telescope. We will use the UWL data to obtain significant orbital coverage on these pulsars and obtain crucial constraints on orbital and temporal DM variations that will help in constraining the nature of the companion. We will then use MeerKAT data at crucial orbital phases to improve our chances of measuring relativistic parameters, and hence the component masses. Increase in the number of measured NS masses has profound implications for NS internal structure and for stellar and binary evolution physics.
DOI: 10.5281/zenodo.4430803
title: OWWC assemblies

description: De novo assemblies of Ae. tauschii accessions sequenced in OWWC (http://www.openwildwheat.org/).
DOI: 10.5281/zenodo.4430802
title: OWWC assemblies

description: De novo assemblies of Ae. tauschii accessions sequenced in OWWC (http://www.openwildwheat.org/).
DOI: 10.3886/e116388v1-73400
title: Replication data for: The Economic Implications of Housing Supply

description: In this essay, we review the basic economics of housing supply and the functioning of US housing markets to better understand the distribution of home prices, household wealth, and the spatial distribution of people across markets. We employ a cost-based approach to gauge whether a housing market is delivering appropriately priced units. Specifically, we investigate whether market prices (roughly) equal the costs of producing the housing unit. If so, the market is well-functioning in the sense that it efficiently delivers housing units at their production cost. The gap between price and production cost can be understood as a regulatory tax. The available evidence suggests, but does not definitively prove, that the implicit tax on development created by housing regulations is higher in many areas than any reasonable negative externalities associated with new construction. We discuss two main effects of developments in housing prices: on patterns of household wealth and on the incentives for relocation to high-wage, high-productivity areas. Finally, we turn to policy implications.
DOI: 10.3886/e130406
title: Studying Undergraduate Course Consideration at Scale

description: Article Abstract: Elective curriculums require undergraduates to choose from a large roster of courses for enrollment each term. It has proven difficult to characterize this fateful choice process because it remains largely unobserved. Using digital trace data to observe this process at scale at a private research university, together with qualitative student interviews, we provide a novel empirical study of course consideration as an important component of course selection. Clickstream logs from a course exploration platform used by most undergraduates at the case university reveal that students consider on average nine courses for enrollment for their first fall term (&lt;2% of available courses) and these courses predict which academic major students declare two years later. Twenty-nine interviews confirm that students experience consideration as complex and reveal variation in consideration strategies that may influence how consideration unfolds. Consideration presents a promising site for intervention in problems of equity, career funneling and college completion.
DOI: 10.3886/e130406v1
title: Studying Undergraduate Course Consideration at Scale

description: Article Abstract: Elective curriculums require undergraduates to choose from a large roster of courses for enrollment each term. It has proven difficult to characterize this fateful choice process because it remains largely unobserved. Using digital trace data to observe this process at scale at a private research university, together with qualitative student interviews, we provide a novel empirical study of course consideration as an important component of course selection. Clickstream logs from a course exploration platform used by most undergraduates at the case university reveal that students consider on average nine courses for enrollment for their first fall term (&lt;2% of available courses) and these courses predict which academic major students declare two years later. Twenty-nine interviews confirm that students experience consideration as complex and reveal variation in consideration strategies that may influence how consideration unfolds. Consideration presents a promising site for intervention in problems of equity, career funneling and college completion.
DOI: 10.5517/ccdc.csd.cc260008
title: CCDC 2025788: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc260019
title: CCDC 2025789: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc26002b
title: CCDC 2025790: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc26003c
title: CCDC 2025791: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc26005f
title: CCDC 2025793: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc26006g
title: CCDC 2025794: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc26007h
title: CCDC 2025795: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc26008j
title: CCDC 2025796: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc26009k
title: CCDC 2025797: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc2600cm
title: CCDC 2025799: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc2600dn
title: CCDC 2025800: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc2600fp
title: CCDC 2025801: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc2600gq
title: CCDC 2025802: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5517/ccdc.csd.cc266vbm
title: CCDC 2032370: Experimental Crystal Structure Determination

description: Related Article: Olga Kataeva, Marcus Nohr, Kamil Ivshin, Silke Hampel, Bernd Büchner, Martin Knupfer|2020|Cryst.Growth Des.|21|471|doi:10.1021/acs.cgd.0c01287
DOI: 10.5517/ccdc.csd.cc2600bl
title: CCDC 2025798: Experimental Crystal Structure Determination

description: Related Article: Weiming Sheng, Xiaolong Xu, Shuangliu Zhou, Xiuli Zhang, Zeming Huang, Jun Du, Lijun Zhang, Yun Wei, Xiancui Zhu, Peng Cui, Shaowu Wang|2020|Organometallics|39|4525|doi:10.1021/acs.organomet.0c00606
DOI: 10.5281/zenodo.4430031
title: Closure of the Canadian Arctic Gateways as a key prerequisite for glacial inception in Scandinavia

description: 30 year monthly climatologies and monthly timeseries from the CESM2 pre-industrial control simulation (piControl), as well as the 116 ka simulations with open and closed ocean gateways in the Canadian Arctic Archipelago (openCAA and closedCAA, respectively). The pre-industrial data is derived from:<br> https://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2.b.e21.B1850.f09_g17.CMIP6-piControl.001.html Proxy datasets:<br> vo.imcce.fr/insola/earth/online/earth/earth.html, doi.pangaea.de/10.1594/PANGAEA.854045<br> doi.pangaea.de/10.1594/PANGAEA.55501<br> doi.pangaea.de/10.1594/PANGAEA.840727<br> doi.pangaea.de/10.1594/PANGAEA.777694<br> doi.pangaea.de/10.1594/PANGAEA.742858
DOI: 10.21227/bh69-6k31
title: Sample Dataset for Testing

description: 10,000 rows of sample data in four formats (CSV, JSON, XML, XLSX) for testing. Fields are as follows:seq, first, last, age, street, city, state, zip, dollar, pick, date, latitude, longitude, birthday, ccnumber, dollar, ccnumber, phone, email, sentence, paragraph
DOI: 10.5281/zenodo.4430870
title: Machine learning reactive mixing dataset-22

description: Reactive-mixing dataset-6.2 for machine learning analyses
description: For DIB article
DOI: 10.5281/zenodo.4430869
title: Machine learning reactive mixing dataset-22

description: Reactive-mixing dataset-6.2 for machine learning analyses
description: For DIB article
DOI: 10.6084/m9.figshare.12494654.v2
title: bibliometric_DFT

description: Data for: Authorship and co-citation cultural nature in Density Functional Theory.CSV file containing 17,274 co-citations of the 31 main DFT packages/software. <br>9 columns: authors, title, number of citations, year of publication, DOI number, document type, countries of affiliation, number of pages and name of DFT code cited.<br>All observations for one code have been stripped from duplicates, based on the DOI number of papers. However, if using the whole dataset, there will be duplicates as one paper can cite several codes.<br><br>Authors and countries are separated by a semicolon within one column in the original file. The preview shows authors and countries separated in several columns but when downloaded, the data is correctly placed within the columns.<br>
DOI: 10.5281/zenodo.4425440
title: Greek Children Art Museum dataset

description: The "LD-project" deals with the creation of cultural Open Linked Data (LOD), based on the artifacts of Greek Children Art Museum, in Greece, Athens. It was created in the frame of Master Thesis of MSc. students, Marini Efstathia and Chondrogianni Maria, in Cultural Infomatics postgraduate program at the Department of Cultural Technology and Communication of the University of the Aegean. DCAT Description: https://www.childrensartmuseum.gr/LD-project/
DOI: 10.5281/zenodo.4425439
title: Greek Children Art Museum dataset

description: The "LD-project" deals with the creation of cultural Open Linked Data (LOD), based on the artifacts of Greek Children Art Museum, in Greece, Athens. It was created in the frame of Master Thesis of MSc. students, Marini Efstathia and Chondrogianni Maria, in Cultural Infomatics postgraduate program at the Department of Cultural Technology and Communication of the University of the Aegean. DCAT Description: https://www.childrensartmuseum.gr/LD-project/
DOI: 10.5281/zenodo.4350792
title: Annotated Pseudo-Transitive Relations of the LOD Cloud

description: This resource consists of four folders: The <strong>gold_standard</strong> folder provides the files consisting of manually evaluated triples. <br> The files were exported from ANNit with the column:<br> LEFT* for the source URI of the triple.<br> RIGHT* for the target URI of the triple.<br> UserChioce for the choice of user when manually evaluated<br> Decision* for the actual decision made by annotator. It can only be unknown, remove, remain.<br> Comment, if any. The only three columns that matter for the evaluation of removed triples in this project are those labelled with *. The folder graph_file includes the unweighted graphs, as well as the two sets of weighted graphs: the graphs with counted weights and the graphs with inferred weights (in the subdirectory of <strong>counted_weights</strong> and <strong>inferred_weights</strong> subdirectory respectively). <br> The files are compressed in the format of *.gz. Each file consists of two columns of integers as the source and the target. The integers corresponds to the URIs. The corresponding mapping files are in the directory <strong>mapping</strong>. Finally, the corresponding files (of unweighted graphs) in WebGraph format are provided. These files were used when evaluating our algorithm against exiting web-scale feedback-arc-set algorithm. Should there be any problem with these datasets, please feel free to report to us at the following email address: shuai.wang@vu.nl.
DOI: 10.5281/zenodo.4350791
title: Annotated Pseudo-Transitive Relations of the LOD Cloud

description: This resource consists of four folders: The <strong>gold_standard</strong> folder provides the files consisting of manually evaluated triples. <br> The files were exported from ANNit with the column:<br> LEFT* for the source URI of the triple.<br> RIGHT* for the target URI of the triple.<br> UserChioce for the choice of user when manually evaluated<br> Decision* for the actual decision made by annotator. It can only be unknown, remove, remain.<br> Comment, if any. The only three columns that matter for the evaluation of removed triples in this project are those labelled with *. The folder graph_file includes the unweighted graphs, as well as the two sets of weighted graphs: the graphs with counted weights and the graphs with inferred weights (in the subdirectory of <strong>counted_weights</strong> and <strong>inferred_weights</strong> subdirectory respectively). <br> The files are compressed in the format of *.gz. Each file consists of two columns of integers as the source and the target. The integers corresponds to the URIs. The corresponding mapping files are in the directory <strong>mapping</strong>. Finally, the corresponding files (of unweighted graphs) in WebGraph format are provided. These files were used when evaluating our algorithm against exiting web-scale feedback-arc-set algorithm. Should there be any problem with these datasets, please feel free to report to us at the following email address: shuai.wang@vu.nl.
DOI: 10.5281/zenodo.4429273
title: NYU FloodSense Gowanus canal mounted sensor depth

description: Water depth level in mm from a sensor mounted mounted above the Gowanus Canal, Brooklyn, NY (40.674490, -73.994458) from October 4th 2020 to January 8th 2021. The sensor is designed to detect flood water that fills the street and blocks vehicle and pedestrian traffic, as well as depositing micro-organisms on the street. This one is used for data validation. The sensor transmits its data via LoRaWAN and is equipped with a solar panel for continuous operation. Data is collected at ~5min intervals. Time fields are in local time (New York). Time fields are in local time (New York). Date format is: 2020-10-04 20:11:45.742594232-04:00 Two flood events have been observed in this dataset between these date ranges: "2020-11-15 19:37:00.000000000-05:00" to "2020-11-16 00:30:00.000000000-05:00" "2020-11-30 10:20:00.000000000-05:00" to "2020-11-30 13:30:00.000000000-05:00" One type of erroneous data has been observed: There are ~1% rises in distance measures on days with sun which suggests that the distance sensor is affected by direct sunlight This data is prelimary and is for prototyping purposes. Not to be used as a reliable data source as it is. This dataset will be updated when more data is collected. Please see our github repo for sensor information and build instructions: github.com/floodsense
DOI: 10.5281/zenodo.4429272
title: NYU FloodSense Gowanus canal mounted sensor depth

description: Water depth level in mm from a sensor mounted mounted above the Gowanus Canal, Brooklyn, NY (40.674490, -73.994458) from October 4th 2020 to January 8th 2021. The sensor is designed to detect flood water that fills the street and blocks vehicle and pedestrian traffic, as well as depositing micro-organisms on the street. This one is used for data validation. The sensor transmits its data via LoRaWAN and is equipped with a solar panel for continuous operation. Data is collected at ~5min intervals. Time fields are in local time (New York). Time fields are in local time (New York). Date format is: 2020-10-04 20:11:45.742594232-04:00 Two flood events have been observed in this dataset between these date ranges: "2020-11-15 19:37:00.000000000-05:00" to "2020-11-16 00:30:00.000000000-05:00" "2020-11-30 10:20:00.000000000-05:00" to "2020-11-30 13:30:00.000000000-05:00" One type of erroneous data has been observed: There are ~1% rises in distance measures on days with sun which suggests that the distance sensor is affected by direct sunlight This data is prelimary and is for prototyping purposes. Not to be used as a reliable data source as it is. This dataset will be updated when more data is collected. Please see our github repo for sensor information and build instructions: github.com/floodsense
DOI: 10.14457/tu.the.2019.970
title: The effect of repeated-names on L2 text comprehension

description: The repeated-names penalty has suggested that the repeated-names form of referents not only causes a reading time delay as compared to a reduced referential form such pronouns (Gordon, Grosz, and Gilliom, 1993), but also interferes with L1 readers' text comprehension (Shapiro and Milkes, 2004). However, the study on L2 readers showed that the L2 readers required less time when processing repeated-names, suggesting L2's preference for the repeated-names form (Cho, 2010). Besides the effect of referential forms on text comprehension, referential distance – the space between referent and its antecedent, is also proposed as a factor that possibly affects a reader in pronominal processing (Barnitz, 1979). This study, therefore, aimed to investigate the effect of referential form and distance on L2 readers' text comprehension. The participants read two different referential distance structured texts (intra- and inter-sentential) with the different referential forms (repeated-names and pronouns). The results showed that referential distance does not significantly affect L2 text comprehension. According to Kintsch's (1988) construction-integration model of text comprehension, readers with higher prior knowledge would build a 'textbase' model' to comprehend a low coherent text better than a high coherent text (Voss and Silfies, 1996). This study, however, found that L2 high prior knowledge readers can better comprehend the text with a repeated-names form which is considered as a lower coherent text. It indicated that repeated-names as an unambiguous referential form facilitates L2 readers in text comprehension. The contradictory findings between L1 and L2 readers is possibly due to the limited L2 resources of the readers, as building the textbase model in L2 readers is associated with their L2 proficiency (Oh, 2014).