cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gkg7r
title: CCDC 2280894: Experimental Crystal Structure Determination

description: Related Article: Samuel L. Powley, Charlotte Riley, Hwan-Hee Cho, Nguyen Le Phuoc, Mikko Linnolahti, Neil Greenham, Alexander S. Romanov|2023|Chem.Commun.|59|12035|doi:10.1039/D3CC04091G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gkg8s
title: CCDC 2280895: Experimental Crystal Structure Determination

description: Related Article: Samuel L. Powley, Charlotte Riley, Hwan-Hee Cho, Nguyen Le Phuoc, Mikko Linnolahti, Neil Greenham, Alexander S. Romanov|2023|Chem.Commun.|59|12035|doi:10.1039/D3CC04091G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10015299
title: Datasets for the paper: "SpotFlow: Tracking Method Calls and States at Runtime"

description: Datasets for the paper: "SpotFlow: Tracking Method Calls and States at Runtime".
Datasets generated with SpotFlow (https://github.com/andrehora/spotflow). We analyze the test suites of 15 Python libraries: gzip, calendar, locale, json, ast, csv, ftplib, collections, os, tarfile, pathlib, smtplib, argparse, configparser, and email.
Dataset 1: Variables Values at Runtime. We extracted every variable name and their respective values at runtime. The dataset contains 1,234 distinct variables and a total of 133,169 distinct values.
Dataset 2: Mapping Between Test Cases and Application Methods. We extracted every test method that executes at least one application method and mapped each test to their respective executed methods. The dataset contains 2,458 test methods and 42,218 executed application methods. In total, the application methods were executed 2,722,746 times by the tests.
DOI: 10.5281/zenodo.10015298
title: Datasets for the paper: "SpotFlow: Tracking Method Calls and States at Runtime"

description: Datasets for the paper: "SpotFlow: Tracking Method Calls and States at Runtime".
Datasets generated with SpotFlow (https://github.com/andrehora/spotflow). We analyze the test suites of 15 Python libraries: gzip, calendar, locale, json, ast, csv, ftplib, collections, os, tarfile, pathlib, smtplib, argparse, configparser, and email.
Dataset 1: Variables Values at Runtime. We extracted every variable name and their respective values at runtime. The dataset contains 1,234 distinct variables and a total of 133,169 distinct values.
Dataset 2: Mapping Between Test Cases and Application Methods. We extracted every test method that executes at least one application method and mapped each test to their respective executed methods. The dataset contains 2,458 test methods and 42,218 executed application methods. In total, the application methods were executed 2,722,746 times by the tests.
DOI: 10.5281/zenodo.10015320
title: Acoustic Fluidization Short Supplemental Tables

description: Resources, References, and Supplemental Materials associated with the Acoustic Fluidization short.
DOI: 10.5281/zenodo.10015319
title: Acoustic Fluidization Short Supplemental Tables

description: Resources, References, and Supplemental Materials associated with the Acoustic Fluidization short.
DOI: 10.5281/zenodo.8106271
title: Supplementary data for "Buoyant impact melts on ancient Mars"

description: MELTS inputs and lookup tables used to determine melt fraction, composition, and density for impact partial melts on Mars.
DOI: 10.5281/zenodo.7900511
title: Dataset for the paper Assessing Happy and Unhappy Paths to Improve Test Suites submitted to ASE 2023.

description: Dataset for the paper Assessing Happy and Unhappy Paths to Improve Test Suites submitted to ASE 2023.
DOI: 10.5281/zenodo.7900512
title: Dataset for the paper Assessing Happy and Unhappy Paths to Improve Test Suites submitted to ASE 2023.

description: Dataset for the paper Assessing Happy and Unhappy Paths to Improve Test Suites submitted to ASE 2023.
DOI: 10.5281/zenodo.8416920
title: Shintergy 4/7 Green measurementes

description: Contains measurements and analysis programs
DOI: 10.5281/zenodo.8416921
title: Shintergy 4/7 Green measurementes

description: Contains measurements and analysis programs
DOI: 10.5281/zenodo.5224969
title: Consequences of drought for grassland songbird reproduction - R code and data files

description: R code and data files for a submitted manuscript on the effects of a severe drought in NE Kansas on grassland songbird reproduction
DOI: 10.5281/zenodo.5239625
title: Consequences of drought for grassland songbird reproduction - R code and data files

description: R code and data files for a submitted manuscript on the effects of a severe drought in NE Kansas on grassland songbird reproduction
DOI: 10.5281/zenodo.10015360
title: Addressing Unpredictable Sources of Congestion (STRIDE A4)

description: The dataset includes the crash and incident data used for the North Carolina case study in this study. It also includes the congestion scan plot obtained from RITIS for the case study corridor.
DOI: 10.5281/zenodo.10014793
title: Addressing Unpredictable Sources of Congestion (STRIDE A4)

description: The dataset includes the crash and incident data used for the North Carolina case study in this study. It also includes the congestion scan plot obtained from RITIS for the case study corridor.
DOI: 10.5281/zenodo.10014794
title: Addressing Unpredictable Sources of Congestion

description: The dataset includes the crash and incident data used for the North Carolina case study in this study. It also includes the congestion scan plot obtained from RITIS for the case study corridor.
DOI: 10.21415/3f26-n749
title: CHILDES Spanish-English Hoff Corpus
DOI: 10.21415/a8q2-rf38
title: DementiaBank English MCI Baycrest Corpus
DOI: 10.21415/4ke0-6348
title: DementiaBank English Lu Corpus
DOI: 10.6084/m9.figshare.24324523
title: Selecting the best candidate vaccine virus for potential pandemic H5N1 currently in circulation

description: Data are the result of the analysis of similarity of Influenza H5N1 virus based on H5 hemagglutinin amino acid sequence available – full length and globular domain. The dataset contains A) lists of the isolates and antigenic prototype used in the study, exhibited in tables; B) protein alignments files to select a representative isolates in North America; C) protein alignments files to select a representative isolates in South America; D) the BLAST analyses to determine the percentage of identity of H5 sequences among isolates (bird and human) and the antigenic prototypes of H5N1, H5N6 and H5N8 Candidate Vaccine Virus (CVVs); and E) the phylogenetic analysis to assess the relationship among the different isolates and CVVs.The dataset is related to the data note article “Selecting the best candidate vaccine virus for potential pandemic H5N1 currently in circulation” and the review submitted for publication “Pandemic H5N1: Alert is in the air (Recent occurrence, diversity and candidate vaccine virus selection)”.
DOI: 10.6084/m9.figshare.24324523.v1
title: Selecting the best candidate vaccine virus for potential pandemic H5N1 currently in circulation

description: Data are the result of the analysis of similarity of Influenza H5N1 virus based on H5 hemagglutinin amino acid sequence available – full length and globular domain. The dataset contains A) lists of the isolates and antigenic prototype used in the study, exhibited in tables; B) protein alignments files to select a representative isolates in North America; C) protein alignments files to select a representative isolates in South America; D) the BLAST analyses to determine the percentage of identity of H5 sequences among isolates (bird and human) and the antigenic prototypes of H5N1, H5N6 and H5N8 Candidate Vaccine Virus (CVVs); and E) the phylogenetic analysis to assess the relationship among the different isolates and CVVs.The dataset is related to the data note article “Selecting the best candidate vaccine virus for potential pandemic H5N1 currently in circulation” and the review submitted for publication “Pandemic H5N1: Alert is in the air (Recent occurrence, diversity and candidate vaccine virus selection)”.
DOI: 10.6073/pasta/ce46d59fc8af2569688c7fc3f8d85074
title: Interagency Ecological Program: Monitoring of water quality, phytoplankton, zooplankton, clams, and fish to support the Summer-Fall Suisun Marsh Salinity Control Gates Action 2018-2022

description: The Suisun Marsh Salinity Control Gates (SMSCG) have the potential to increase low-salinity-zone habitat for endangered Delta Smelt (Hypomesus transpacificus, California Endangered Species Act listed as Endangered, Federal Endangered Species Act listed as Threatened), and to allow them to more frequently occupy Suisun Marsh, especially Montezuma Slough, one of their most important rearing habitats. Operation of the SMSCG in summer and fall to improve Delta Smelt habitat are called for in the Biological Opinion and Incidental Take permit for the Central Valley Project and State Water Project. To support the adaptive management of the action, the California Department of Water Resources and collaborating agencies monitored water quality, phytoplankton, zooplankton, clams, and fishes during the SMSCG management action in 2018 and subsequent summer and fall months of non-action years (2019-2022). This data package includes data collected by the Interagency Ecological Program’s (IEP) long-term monitoring programs supplemented with targeted sample collection where existing surveys lacked spatial or temporal coverage. Monitoring during no-action years will be used as a baseline for comparison during action years. This data package will be updated annually during both action years and non-action years.
DOI: 10.6084/m9.figshare.24328564
title: National Accounts Data incl 2019.dta

description: This paper investigates the evolution of regional income inequality in Turkey during the last two decades from the standpoint of income convergence hypotheses. Using economic data from both national accounts and households at various territorial disaggregation the study finds spatially robust evidence for the “advantage of backwardness” which turns the focus on the closely related question: does poverty convergence accompany income convergence among regions? The results from poverty convergence regressions suggest on the contrary that poverty is falling relatively faster in regions with a lower poverty headcount at baseline. This study suggests as a novelty the club convergence as the basis of this contradictory finding. We find six convergence clubs with large gaps both in club-specific steady states and growth performances. Nonetheless, economic growth transitioning appears to hold between poor and rich regions as the data suggests a trend of upgrading in club membership over time and convergence among parts of subsequent growth clusters. The future harbors hope for poverty convergence among Turkish regions especially if regional policies focus on increasing human and physical capital and improving the industrial structure in lagging regions as these structural characteristics are found to be the key determinants of club formation besides initial income which calls for income transfers from rich to poor regions.
DOI: 10.6084/m9.figshare.24328564.v1
title: National Accounts Data incl 2019.dta

description: This paper investigates the evolution of regional income inequality in Turkey during the last two decades from the standpoint of income convergence hypotheses. Using economic data from both national accounts and households at various territorial disaggregation the study finds spatially robust evidence for the “advantage of backwardness” which turns the focus on the closely related question: does poverty convergence accompany income convergence among regions? The results from poverty convergence regressions suggest on the contrary that poverty is falling relatively faster in regions with a lower poverty headcount at baseline. This study suggests as a novelty the club convergence as the basis of this contradictory finding. We find six convergence clubs with large gaps both in club-specific steady states and growth performances. Nonetheless, economic growth transitioning appears to hold between poor and rich regions as the data suggests a trend of upgrading in club membership over time and convergence among parts of subsequent growth clusters. The future harbors hope for poverty convergence among Turkish regions especially if regional policies focus on increasing human and physical capital and improving the industrial structure in lagging regions as these structural characteristics are found to be the key determinants of club formation besides initial income which calls for income transfers from rich to poor regions.
DOI: 10.21223/n5olt8/yjuz50
title: 04_Datadictionary.txt

description: :unav
DOI: 10.21223/n5olt8/co1eju
title: 01_Fieldbook_TVIT200510_LAVICT_Postharvest.txt

description: :unav
DOI: 10.21223/n5olt8/tmumtu
title: TPHEN200510_LAVICT_Postharvest.xls

description: :unav
DOI: 10.21223/n5olt8/bj5k1z
title: 03_Material_list.txt

description: :unav
DOI: 10.21223/n5olt8/hqnfnv
title: 02_Fieldbook_TPHEN200510_LAVICT_Postharvest.txt

description: :unav
DOI: 10.21223/n5olt8/jdqnuo
title: TVIT200510_LAVICT_Postharvest.xls

description: :unav
DOI: 10.21223/n5olt8
title: Dataset for: Phenolic Compound and Vitamin C analysis in Potato Clones Across Post-Harvest Storage Durations, Huancayo, Junin 2005

description: This study aimed to assess changes in polyphenolic components and vitamin C at various post-harvest storage durations, including T0 (immediately after harvest), T1 (6 weeks after harvest), T2 (12 weeks after harvest), and T3 (18 weeks after harvest). We evaluated a total of forty native potato varieties using a randomized complete design (CRD) with three replications. These varieties were sourced from planting activities in Huancayo, Junin and Aymara - Huancavelica in 2005.
DOI: 10.34740/kaggle/dsv/6723472
title: Balochi Language to English Translation Dataset
DOI: 10.21223/esiah8/cg4msr
title: TVIT200511_ANCO_EstudyGxE_Altitude.xls

description: :unav
DOI: 10.21223/esiah8/dtdg1n
title: 03_Material_list.txt

description: :unav
DOI: 10.21223/esiah8/f4f9dz
title: 01_Fieldbook_TMIN200511_ANCO_GxE.txt

description: :unav
DOI: 10.21223/esiah8/ibd6uj
title: 02_Fieldbook_TVIT200511_ANCO_GxE.txt

description: :unav
DOI: 10.21223/esiah8/duybtm
title: 04_Data_Dictionary.txt

description: :unav
DOI: 10.21223/esiah8/7urbtv
title: TMIN200511_ANCO_GxE.xls

description: :unav
DOI: 10.21223/esiah8
title: Dataset for: Study of environmental effect on micronutrient concentrations in Yauli, Huancavelica, 2005

description: An analysis of micronutrients, minerals, and vitamin C was conducted on materials from an experiment involving native potatoes grown at different altitudes (meters above sea level). The altitudes included A1=3496 m.a.s.l, A2=3633 m.a.s.l, A3=3730 m.a.s.l, and A4=4070 m.a.s.l in the Anco Pica Pampa area of Yauli, Huancavelica. Ten different varieties of native potatoes were used in a randomized complete block design (RCBD) with three replications.
DOI: 10.6084/m9.figshare.20730504
title: Wildfire Smoke Clean Air Centers: Identifying Barriers and Opportunities for Improvement from California Practitioner and Community Perspectives

description: As wildfire risk is projected to increase across most of the world, exposure to wildfire smoke is a growing global health issue. Clean air centers (CACs), public buildings designated to provide improved air quality to the public during a wildfire smoke event, have emerged as a community-oriented public health response to smoke. Some experts see CACs as the most effective way to reduce population exposure to wildfire smoke. Yet how and why smoke-vulnerable groups utilize CACs, as well as how CACs may be improved to meet their needs, is not well understood. Here, we explore these questions through exploratory interviews with two groups of stakeholders in California CAC development: practitioners and members of a community vulnerable to wildfire smoke. Our findings suggest that a gap remains between California’s CACs and the needs of vulnerable groups. By comparing community and practitioner perspectives, we identify opportunities to close this gap.
DOI: 10.6084/m9.figshare.20730504.v1
title: Wildfire Smoke Clean Air Centers: Identifying Barriers and Opportunities for Improvement from California Practitioner and Community Perspectives

description: As wildfire risk is projected to increase across most of the world, exposure to wildfire smoke is a growing global health issue. Clean air centers (CACs), public buildings designated to provide improved air quality to the public during a wildfire smoke event, have emerged as a community-oriented public health response to smoke. Some experts see CACs as the most effective way to reduce population exposure to wildfire smoke. Yet how and why smoke-vulnerable groups utilize CACs, as well as how CACs may be improved to meet their needs, is not well understood. Here, we explore these questions through exploratory interviews with two groups of stakeholders in California CAC development: practitioners and members of a community vulnerable to wildfire smoke. Our findings suggest that a gap remains between California’s CACs and the needs of vulnerable groups. By comparing community and practitioner perspectives, we identify opportunities to close this gap.
DOI: 10.48324/dandi.000574/0.231010.1809
title: Dataset of human medial temporal lobe neurons, scalp and intracranial EEG during a verbal working memory task

description: We present an electrophysiological dataset recorded from nine subjects during a verbal working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects performed a modified Sternberg task in which the encoding of memory items, maintenance, and recall were temporally separated. The dataset includes simultaneously recorded scalp EEG with the 10-20 system, intracranial EEG (iEEG) recorded with depth electrodes, waveforms and spike times of 1526 units recorded in the medial temporal lobe, and the MNI coordinates and anatomical labels of all intracranial electrodes. Subject characteristics and information on sessions (set size, match/mismatch, correct/incorrect, response, response time for each trial) are also provided. This dataset enables the investigation of working memory by providing simultaneous scalp EEG and iEEG recordings, which can be used for connectivity analysis, alongside hard to obtain unit recordings from humans.
DOI: 10.34740/kaggle/dsv/6723733
title: global warming on earth
DOI: 10.5281/zenodo.10015205
title: Review of documents about Open Science

description: In a review exercise of a sample of 46 documents about Open Science governance, from institutions and regulatory actors, we identified opportunities to strengthen Open Science practices related to integrity, traceability, and preservation. 
Variables to be considered: Document name, file type, institution – country, PDF/A, have DOI, have other PID, recognized by Zotero, recognized by Mendeley, metadata in PDF properties.
DOI: 10.5281/zenodo.8363126
title: Reaching and grasping objects in depth for people with stereovision deficits and healthy controls.

description: Decades of research into hand-object interaction and manipulation skills has yielded fundamental insights with applications in robotics and motor learning. Nevertheless, integrating visual function (especially binocular function, important to perceive depth) into this equation is crucial, forming a triangle between vision, reaching, and object manipulation.


 


The ReGraD dataset provides kinematic data during hand-object interaction in monocular and binocular conditions at different depths and monocular/binocular conditions. It comprises two sub-datasets: ReGraD A (two measurements) can determine its test-retest reliability, whilst ReGraD B (one measurement) can characterize individuals with and without visual disorders. ReGraD includes 35 controls and 3 patients with amblyopia aged 6 to 35.


 


The ReGraD dataset may aid to (1) gain insights into hand-object interaction under various eye conditions and depths, (2) assess reliability and reproducibility and (3) examine the effects of groups (control vs. patients) and age, among others. The ReGraD dataset contains raw data that can also be used to develop algorithms for data segmentation and data interpolation in the kinematic field.
DOI: 10.5281/zenodo.10015204
title: Review of documents about Open Science

description: In a review exercise of a sample of 46 documents about Open Science governance, from institutions and regulatory actors, we identified opportunities to strengthen Open Science practices related to integrity, traceability, and preservation. 
Variables to be considered: Document name, file type, institution – country, PDF/A, have DOI, have other PID, recognized by Zotero, recognized by Mendeley, metadata in PDF properties.
DOI: 10.5281/zenodo.8363125
title: Reaching and grasping objects in depth for people with stereovision deficits and healthy controls.

description: Decades of research into hand-object interaction and manipulation skills has yielded fundamental insights with applications in robotics and motor learning. Nevertheless, integrating visual function (especially binocular function, important to perceive depth) into this equation is crucial, forming a triangle between vision, reaching, and object manipulation.


 


The ReGraD dataset provides kinematic data during hand-object interaction in monocular and binocular conditions at different depths and monocular/binocular conditions. It comprises two sub-datasets: ReGraD A (two measurements) can determine its test-retest reliability, whilst ReGraD B (one measurement) can characterize individuals with and without visual disorders. ReGraD includes 35 controls and 3 patients with amblyopia aged 6 to 35.


 


The ReGraD dataset may aid to (1) gain insights into hand-object interaction under various eye conditions and depths, (2) assess reliability and reproducibility and (3) examine the effects of groups (control vs. patients) and age, among others. The ReGraD dataset contains raw data that can also be used to develop algorithms for data segmentation and data interpolation in the kinematic field.
DOI: 10.5281/zenodo.10015369
title: grasslandIntactness_Tack
DOI: 10.5281/zenodo.10015368
title: grasslandIntactness_Tack
DOI: 10.5517/ccdc.csd.cc28lnyh
title: CCDC 2103317: Experimental Crystal Structure Determination

description: Related Article: Zuping Xiong, Jianyu Zhang, Jing Zhi Sun, Haoke Zhang, Ben Zhong Tang|2023|J.Am.Chem.Soc.|145|21104|doi:10.1021/jacs.3c08164
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.