cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3243571
title: updated homecage data for figures 8 and 9 and behavioral database

description: matlab files to recreate figure 8 and 9  AHFpaperDATA.zip contains all behavioral text files and the database code for the 44 subjects used in the study, AHFpaper.sql  contains a database of all he behavioral data
DOI: 10.5281/zenodo.3243572
title: homecage data for figures 8 and 9 and behavioral database

description: matlab files to recreate figure 8 and 9  AHFpaperDATA.zip contains all behavioral text files and the database code for the 44 subjects used in the study, AHFpaper.sql  contains a database of all he behavioral data
DOI: 10.25919/5d1e98d5d1b5c
title: Fitzroy and Margaret rivers likelihood of groundwater inflow

description: This data set contains polygons as shape files identifying the reaches of the main river channel in the Fitzroy and Margaret rivers (Western Australia) where there is a likelihood of groundwater inflow. The shape files are symbolised to represent different categories of the likelihood of groundwater inflow (i.e. low, medium or high) and are based on the results and interpretation of a longitudinal surface water environmental tracer and chemistry sampling survey. The purpose of the data set is to map the spatial occurrence and likelihood of groundwater inflow to reaches of the Fitzroy and Margaret rivers in Western Australia, to graphically communicate groundwater – surface water connectivity.
DOI: 10.25919/5d1e9926baab6
title: Grant Group and Poole Sandstone potentiometric surface

description: This data set contains hydraulic head values for the interconnected Grant Group and Poole Sandstone aquifers obtained from multiple sources including: (i) field measurement data stored and available from from the Department of Water and Environmental Regulation Water Information Reporting online data portal, (ii) field measurement data collected as part of targeted field investigations in Taylor et al. (2018) and (iii) field measurements collated from various hydrogeological investigation reports for Indigenous communities and pastoral station groundwater supplies. ArcGIS was used to interpolate point hydraulic head data into a continuous potentiometric surface for the extent of the Grant Group and Poole Sandstone aquifers within the Fitzroy catchment and some surrounding areas. The point and grided data is presented as a reduced standing water level in metres Australian Height Datum.The purpose of the data set was to interpret the scale and directions of groundwater flow in both aquifers.
DOI: 10.17632/kdtcxsv8by.2
title: Data for: English only? Monolinguals in linguistically diverse contexts have an edge in language learning

description: Data for adult monolingual university students living in two different locations (central Pennsylvania: PSUM; southern California: UCRM) who were explicitly taught Finnish vocabulary and implicitly taught Finnish vowel harmony over the course of two sessions (Finnish2 and Finnish3), and then tested on how well they learned the studied items and how well they could generalize the vowel harmony rule to novel items at test. Behavioral (DPrime) and ERP measurements were taken.
DOI: 10.17632/ktmfg76xst.1
title: Data for: Measurements of 129I in the Pacific Ocean at Scripps Pier and Pacific Northwest sites: A search for effects from the 2011 Fukushima Daiichi Nuclear Power Plant Accident and Hanford

description: These data show weekly/biweekly Iodine-129 measurements from Scripps Pier from May 2011 to 2018.
DOI: 10.5281/zenodo.3268884
title: DWD European Weather 2

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst

Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html

dates and times are UTC.
DOI: 10.5281/zenodo.3268912
title: Heart failure strain database

description: Database of atrial and ventricular strain measurements in heart failure patients
DOI: 10.5281/zenodo.3268913
title: Heart failure strain database

description: Database of atrial and ventricular strain measurements in heart failure patients
DOI: 10.7910/dvn/5ktv2q/sep8lj
title: PCRSPF analysis_HQ_V1 October Revised 2017.tab

description: Data
DOI: 10.7910/dvn/5ktv2q/cdtqov
title: PCRSPF analysis_HQ_V1 October Revised 2017-1.tab

description: Variable Description
DOI: 10.25919/5d1e9710b61c3
title: Parkes observations for project P1013 semester 2019APRS_04

description: The paucity of known intermittent pulsars makes individual studies valuable from the perspective of understanding how these pulsars emit and how that emission is changing in time and as a function of frequency. The inherent difficulty in detecting these objects implies that their small population may well simply be a sampling bias, thus studying individual examples in details is fundamentally important in developing a complete understanding of the Galactic population. The Ultra-Wide-Band receiver and the MEDUSA backend provide unprecedented frequency coverage and will allow us to study the emission of the intermittent pulsar J1107-5907 in great detail. In particular, we will focus on the spectral characteristics of the emission, the frequency dependence of emission rates and the time scales on which the emission state switching occurs. By constraining the intermittency time scales we will be able to comment on model predictions, while the spectral index analysis will provide insights into the emission mechanism itself.
DOI: 10.17632/fx92rn85yj.1
title: Data for: Holographic Polymer Nanocomposites with Simultaneously Boosted Diffraction Efficiency and Upconversion Photoluminescence
DOI: 10.3886/e110561v1
title: PEPFAR Transition Effects on Service Delivery Survey Data

description: A minimal dataset from a survey of 226 health facilities in Uganda supported by PEPFAR. 206 of the facilities were transitioned from PEPFAR support and 20 were maintained. Variables pertain to service discontinuation and perceived changes in quality and access to HIV services after transition.
description: Survey weights, cluster ids, strata, and finite population correction variables (cluster and facility-level) are included in the dataset. In order to analyze the data appropriately, the correct information must be supplied to the statistical package used. Below is the command for Stata.<br><br>svyset clusterid [pw=pweight], strata(strata) fpc(cluster_fpc) || facilityid, fpc(facility_fpc) singleunit(certainty)<br><br>
DOI: 10.25919/5d1ee050eda5d
title: Fitzroy and Margaret rivers spatial mapping of radon and helium-4 in surface water

description: This data set contains shape files representing the locations and results of radon(222Rn) and helium-4(4He) surface water sampling from in-stream reaches and pools, as well as off-channel wetlands of the Fitzroy and Margaret rivers Western Australia. The data provides information about the spatial nature of connectivity between groundwater and surface water along approximately 300 km of the Fitzroy River and 80 km of the Margaret River. The data was collected via helicopter in June 2017. The purpose of the data set is to graphically communicate the results of 222Rn and 4He sampling in surface water and how that relates to spatial changes in groundwater – surface water connectivity.
DOI: 10.5281/zenodo.3268917
title: Dataset for Kuzucan et al., "Approvals for use in populations specifically excluded from trials supporting FDA-approved antibiotics, 1999-2018"

description: Extraction sheet for Kuzucan et al., "Approvals for use in populations specifically excluded from trials supporting FDA-approved antibiotics, 1999-2018" (citation forthcoming)
DOI: 10.5285/8c1568f8-941e-512a-e053-6c86abc0d1e5
title: Reconciling Observation and Model Trends in North Atlantic Surface CO2, 1992-2014, by multiple linear regression.

description: Monthly files of surface ocean fCO2 for the North Atlantic were generated for 1992 to 2014. They were generated by Multiple Linear Regression of interpolated observation-based products of surface ocean fCO2, split into seven latitude bands of 60, 30, 20, 10, 5, 2 and 1 degrees width. The multiple linear regression method was also applied to 19 CMIP5 model fields to calculate the interpolation error, in an approach known as  Observation Sampling Experiments. Additionally, global files of monthly surface ocean fCO2 were generated using 5 ensembles of a coupled ocean-biogeochemical model with different surface flux forcing for each ensemble: ERA-Interim (observation-based forced experiment), CanESM2, GFDL-ESM2M, HadGEM2-ES and IPSL-CM5A-LR (CMIP5-forced simulations experiments).
DOI: 10.14469/hpc/5928
title: Bromoallene, Def2-SVPD AgOAc complex TS C-Br cleavage only (no C-O formation), R-methyl G=-3257.935642

description: Gaussian Calculation
DOI: 10.5281/zenodo.3268838
title: updated homecage data for figures 8 and 9 and behavioral database

description: matlab files to recreate figure 8 and 9  AHFpaperDATA.zip contains all behavioral text files and the database code for the 44 subjects used in the study, AHFpaper.sql  contains a database of all he behavioral data
DOI: 10.17632/zv2x8gpvd6.1
title: Data for: Racism Blame and Autonomy in HCI: Testing Perceptions of an AI Agent
DOI: 10.5281/zenodo.3269188
title: FT8 Astor-Horwood 6-key tenoroon: basic data, photos.

description: Dataset of FT8 Astor-Horwood 6-key tenoroon containing detailed information/data and photos. (More complete measurement data to be collected at a later date.)
DOI: 10.3886/e110562v1
title: Wheat rust coping mechanisms

description: This anonymous dataset is what we used in analyzing wheat rust coping mechanisms smallholder farmers in Ethiopia have chosen after the 2010/11 yellow rust epidemic. <br>
description: Presence of Common Scales: Plot and Household levels <br>
description: face-to-face interview~~
description: By Agro-ecological zones and main focus on wheat growing AEZs<br>
DOI: 10.5519/qd.g0yc3cys
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4353859 records)
DOI: 10.5281/zenodo.3268648
title: Complex Sequential Question Answering dataset

description: While conversing with chatbots, humans typically tend to ask many questions, a significant portion of which can be answered by referring to large-scale knowledge graphs (KG). While Question Answering (QA) and dialog systems have been studied independently, there is a need to study them closely to evaluate such real-world scenarios faced by bots involving both these tasks. Towards this end, we introduce the task of Complex Sequential QA which combines the two tasks of (i) answering factual questions through complex inferencing over a realistic-sized KG of millions of entities, and (ii) learning to converse through a series of coherently linked QA pairs. Through a labor intensive semi-automatic process, involving in-house and crowdsourced workers, we created a dataset containing around 200K dialogs with a total of 1.6M turns. Further, unlike existing large scale QA datasets which contain simple questions that can be answered from a single tuple, the questions in our dialogs require a larger subgraph of the KG. Specifically, our dataset has questions which require logical, quantitative, and comparative reasoning as well as their combinations. This calls for models which can: (i) parse complex natural language questions, (ii) use conversation context to resolve coreferences and ellipsis in utterances, (iii) ask for clarifications for ambiguous queries, and finally (iv) retrieve relevant subgraphs of the KG to answer such questions. However, our experiments with a combination of state of the art dialog and QA models show that they clearly do not achieve the above objectives and are inadequate for dealing with such complex real world settings. We believe that this new dataset coupled with the limitations of existing models as reported in this paper should encourage further research in Complex Sequential QA.

Please visit https://amritasaha1812.github.io/CSQA/ for more details.
DOI: 10.5281/zenodo.3268649
title: Complex Sequential Question Answering dataset

description: While conversing with chatbots, humans typically tend to ask many questions, a significant portion of which can be answered by referring to large-scale knowledge graphs (KG). While Question Answering (QA) and dialog systems have been studied independently, there is a need to study them closely to evaluate such real-world scenarios faced by bots involving both these tasks. Towards this end, we introduce the task of Complex Sequential QA which combines the two tasks of (i) answering factual questions through complex inferencing over a realistic-sized KG of millions of entities, and (ii) learning to converse through a series of coherently linked QA pairs. Through a labor intensive semi-automatic process, involving in-house and crowdsourced workers, we created a dataset containing around 200K dialogs with a total of 1.6M turns. Further, unlike existing large scale QA datasets which contain simple questions that can be answered from a single tuple, the questions in our dialogs require a larger subgraph of the KG. Specifically, our dataset has questions which require logical, quantitative, and comparative reasoning as well as their combinations. This calls for models which can: (i) parse complex natural language questions, (ii) use conversation context to resolve coreferences and ellipsis in utterances, (iii) ask for clarifications for ambiguous queries, and finally (iv) retrieve relevant subgraphs of the KG to answer such questions. However, our experiments with a combination of state of the art dialog and QA models show that they clearly do not achieve the above objectives and are inadequate for dealing with such complex real world settings. We believe that this new dataset coupled with the limitations of existing models as reported in this paper should encourage further research in Complex Sequential QA.

Please visit https://amritasaha1812.github.io/CSQA/ for more details.
DOI: 10.5281/zenodo.3267282
title: wikidata jsons (in pre-processed format)

description: This is a collection of pre-processed wikidata jsons which were used in the creation of CSQA dataset (Ref: https://arxiv.org/abs/1801.10314).

Please refer to https://amritasaha1812.github.io/CSQA/download/ for more details.
DOI: 10.17632/bxx9t42d4f.1
title: Data for: Heterogeneity of the Mineralogy and Organic Content of the Tuscaloosa Marine Shale

description: These are the mineralogical and geochemical data from conventional and rotary sidewall cores from 11 wells in the Tuscaloosa Marine Shale.
DOI: 10.14469/hpc/5930
title: trans IRC 3rd

description: Gaussian Calculation
DOI: 10.17632/cr7j8v85cn.1
title: Data for: Cartilage-on-Cartilage Cyclic Loading Induces Mechanical and Structural Damage

description: File includes thickness, linear modulus, exponential fits to stress-strain loading curve, tangential moduli, and dissipated energy for the data reported in: Vazquez, Andreae, Henak, "Cartilage-on-Cartilage Cyclic Loading Induces Mechanical and Structural Damage"
DOI: 10.5519/qd.u5buhb2x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6425 records)
DOI: 10.5281/zenodo.3269259
title: Changes in Phytochemical Composition and Antioxidant Activity in Nine sh2 Sweet Corn Genotypes during Maturation

description: Table S1. Mean values ± SD of four biological replicates for the five evaluated traits across nine <em>sh2 </em>sweetcorn hybrids and the five maturity stages. Different lowercase letters as well as different uppercase letters indicate a significant difference at P &lt; 0.05.
DOI: 10.5281/zenodo.3269260
title: Changes in Phytochemical Composition and Antioxidant Activity in Nine sh2 Sweet Corn Genotypes during Maturation

description: Table S1. Mean values ± SD of four biological replicates for the five evaluated traits across nine <em>sh2 </em>sweetcorn hybrids and the five maturity stages. Different lowercase letters as well as different uppercase letters indicate a significant difference at P &lt; 0.05.
DOI: 10.17632/cksttfty9j.1
title: Data for: Phosphorus nutrition in farmed Atlantic salmon (Salmo salar): Life stage and temperature effects on bone pathologies.

description: The raw data and the R script used to analyse it.
DOI: 10.5281/zenodo.3269319
title: FT11 Cahusac (1) 6-key tenoroon: measurements, photos, endoscopic video

description: Dataset of FT11 Cahusac 6-key tenoroon containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.5517/ccdc.csd.cc28htzl
title: CCDC 2100590: Experimental Crystal Structure Determination

description: Related Article: Jorge Albalad, Ricardo A. Peralta, Michael T. Huxley, Steven Tsoukatos, Zhaolin Shi, Yue-Biao Zhang, Jack D. Evans, Christopher J. Sumby, Christian J. Doonan|2021|Chemical Science|12|14893|doi:10.1039/D1SC04712D
DOI: 10.5517/ccdc.csd.cc28hv0n
title: CCDC 2100591: Experimental Crystal Structure Determination

description: Related Article: Jorge Albalad, Ricardo A. Peralta, Michael T. Huxley, Steven Tsoukatos, Zhaolin Shi, Yue-Biao Zhang, Jack D. Evans, Christopher J. Sumby, Christian J. Doonan|2021|Chemical Science|12|14893|doi:10.1039/D1SC04712D
DOI: 10.5517/ccdc.csd.cc28hv1p
title: CCDC 2100592: Experimental Crystal Structure Determination

description: Related Article: Jorge Albalad, Ricardo A. Peralta, Michael T. Huxley, Steven Tsoukatos, Zhaolin Shi, Yue-Biao Zhang, Jack D. Evans, Christopher J. Sumby, Christian J. Doonan|2021|Chemical Science|12|14893|doi:10.1039/D1SC04712D
DOI: 10.5517/ccdc.csd.cc28hv2q
title: CCDC 2100593: Experimental Crystal Structure Determination

description: Related Article: Jorge Albalad, Ricardo A. Peralta, Michael T. Huxley, Steven Tsoukatos, Zhaolin Shi, Yue-Biao Zhang, Jack D. Evans, Christopher J. Sumby, Christian J. Doonan|2021|Chemical Science|12|14893|doi:10.1039/D1SC04712D
DOI: 10.5517/ccdc.csd.cc28hv3r
title: CCDC 2100594: Experimental Crystal Structure Determination

description: Related Article: Jorge Albalad, Ricardo A. Peralta, Michael T. Huxley, Steven Tsoukatos, Zhaolin Shi, Yue-Biao Zhang, Jack D. Evans, Christopher J. Sumby, Christian J. Doonan|2021|Chemical Science|12|14893|doi:10.1039/D1SC04712D
DOI: 10.5517/ccdc.csd.cc28hv4s
title: CCDC 2100595: Experimental Crystal Structure Determination

description: Related Article: Jorge Albalad, Ricardo A. Peralta, Michael T. Huxley, Steven Tsoukatos, Zhaolin Shi, Yue-Biao Zhang, Jack D. Evans, Christopher J. Sumby, Christian J. Doonan|2021|Chemical Science|12|14893|doi:10.1039/D1SC04712D
DOI: 10.5517/ccdc.csd.cc28hv5t
title: CCDC 2100596: Experimental Crystal Structure Determination

description: Related Article: Jorge Albalad, Ricardo A. Peralta, Michael T. Huxley, Steven Tsoukatos, Zhaolin Shi, Yue-Biao Zhang, Jack D. Evans, Christopher J. Sumby, Christian J. Doonan|2021|Chemical Science|12|14893|doi:10.1039/D1SC04712D
DOI: 10.5281/zenodo.6370886
title: Nanosecond Optical Switching and Control System for Data Center Networks(data)

description: This file contains the data for the paper "Nanosecond Optical Switching and Control System for Data Center Networks"
DOI: 10.6084/m9.figshare.19387646
title: The nature of the Late Syn-rift Sag Basin (LSSB)

description: Using high-resolution 3D seismic data in the Hailar Rift, for the first time, our study deciphers the 3D architecture and strain behavior of the LSSB.
DOI: 10.6084/m9.figshare.19387646.v2
title: The nature of the Late Syn-rift Sag Basin (LSSB)

description: Using high-resolution 3D seismic data in the Hailar Rift, for the first time, our study deciphers the 3D architecture and strain behavior of the LSSB.
DOI: 10.6084/m9.figshare.19387646.v1
title: The nature of the Late Syn-rift Sag Basin (LSSB)

description: Using high-resolution 3D seismic data in the Hailar Rift, for the first time, our study deciphers the 3D architecture and strain behavior of the LSSB.
DOI: 10.6084/m9.figshare.19387667
title: The nature of the Late Syn-rift Sag Basin (LSSB)

description: Using high-resolution 3D seismic data in the Hailar Rift, for the first time, our study deciphers the 3D architecture and strain behavior of the LSSB.
DOI: 10.6084/m9.figshare.19387667.v1
title: The nature of the Late Syn-rift Sag Basin (LSSB)

description: Using high-resolution 3D seismic data in the Hailar Rift, for the first time, our study deciphers the 3D architecture and strain behavior of the LSSB.
DOI: 10.6084/m9.figshare.19319783
title: NOMAD Chemical Formulas and Calculation IDs

description: <i>all-formula.csv</i> contains two columns: <i>calc_id</i> (Calculation ID) and <i>formula</i> (Chemical Formula). These were restricted to VASP DFT calculations, and do not include noble gases nor radioactive elements. Some calculation IDs have missing chemical formulas. The list has also been filtered down to unique (non-reduced) chemical formulas in <i>unique-formula.csv</i> along with the <i>calc_id</i>-s for each unique formula. No structural information is included directly in this data. REALLY, what you're probably interested most in is <i>unique-reduced-formula.csv</i>. because it is the most curated and is directly usable with e.g. <i>pymatgen</i>. What this contains is three columns: <i>calc_id</i>, <i>reduced_formula</i>, and <i>factor</i> which correspond to the Calculation ID, the reduced formula (e.g. Si2O4 --&gt; SiO2), and the factor (e.g. for Si2O4 --&gt; SiO2 the factor is 2). The formulas were first parsed via <i>pymatgen.core.Composition</i> class. Going from <i>all-formula.csv</i> to <i>unique-formula.csv</i> to <i>unique-reduced-formula.csv</i> gives 11680557 --&gt; 764431 --&gt; 695612 rows.<br>Finally, <i>bad-formula.csv</i> just contains the formulas that were skipped during processing (i.e. couldn't be processed with <i>pymatgen.core.Composition</i> for various reasons, 15 in total).<br><br>The data was downloaded on 2022-03-07. See the links below (esp. <i>nomad-examples</i> GitHub repository) for details on the data download and filtering process.
DOI: 10.6084/m9.figshare.19319783.v2
title: NOMAD Chemical Formulas and Calculation IDs

description: `all-formula.csv` contains two columns: `calc_id` (Calculation ID) and `formula` (Chemical Formula). Some calculation IDs have missing chemical formulas. The list has also been filtered down to unique chemical formulas in `unique-formula.csv` along with the `calc_id`-s for each unique formula. No structural information is included directly in this data. `unique-formula.csv` can be used directly in <br>The data was downloaded on 2022-03-07. See https://github.com/sparks-baird/nomad-examples/blob/0.1.1/all_formula_basic_metadata.py for details on the data download and filtering process.
DOI: 10.6084/m9.figshare.19387658.v2
title: Dataset.xlsx

description: Dataset from the paper "Ontogenetic changes in root and shoot respiration, fresh mass, and surface area of <i>Fagus crenata</i>", Kurosawa et al.<br>
DOI: 10.6084/m9.figshare.19387658
title: Dataset.xlsx

description: Dataset from the paper "Ontogenetic changes in root and shoot respiration, fresh mass, and surface area of <i>Fagus crenata</i>", Kurosawa et al.<br>
DOI: 10.6084/m9.figshare.19387658.v1
title: Dataset.xlsx

description: Dataset from the paper "Ontogenetic changes in root and shoot respiration, fresh mass, and surface area of <i>Fagus crenata</i>", Kurosawa et al.<br>
DOI: 10.6084/m9.figshare.19387685
title: linkage map.xlsx

description: A mapping population consisting of 186 recombinant inbred lines (RILs) was constructed by crossing maize inbred lines LDC-1 and YS501. Using the GeneChip Mapping 10K array, a high-density linkage map was constructed with 2,624 bin markers. The map spanned 2569.89 cM, and the average genetic distance between two markers was 0.98 cM.
DOI: 10.6084/m9.figshare.19387685.v1
title: linkage map.xlsx

description: A mapping population consisting of 186 recombinant inbred lines (RILs) was constructed by crossing maize inbred lines LDC-1 and YS501. Using the GeneChip Mapping 10K array, a high-density linkage map was constructed with 2,624 bin markers. The map spanned 2569.89 cM, and the average genetic distance between two markers was 0.98 cM.