cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3614078
title: Dataset: Seismic Performance of Slender RC U-shaped Walls with a Single-Layer of Reinforcement

description: This dataset contains the experimental data for two large-scale reinforced concrete U-shaped wall specimens tested at the Earthquake Engineering and Structural Dynamics Laboratory (EESD Lab), École Polytechnique Féderale de Lausanne (EPFL) in Switzerland. This dataset contains supplementary material for the journal paper titled, "Seismic Performance of Slender RC U-shaped Walls with a Single-Layer of Reinforcement", which contains some of the experimental observations and results. Thus, this dataset also contains MATLAB files associated with calculating the results presented in the journal paper and the corresponding figures and plots. The abstract for the journal paper is below: Reinforced concrete walls are typically used to resist the lateral loading induced by wind and earthquake actions. While most walls feature two vertical reinforcement layers, in some regions the use of slender reinforced concrete walls with a single vertical layer of reinforcement is current construction practice or has been in the past. The seismic performance of such elements is largely unknown given the paucity of experimental research that has been conducted on walls with a single layer of reinforcement, particularly for non-rectangular walls, such as the popular U-shaped wall. This paper presents the results of two slender reinforced concrete U-shaped walls tested at the Earthquake Engineering and Structural Dynamics Laboratory (EESD Lab), École Polytechnique Féderale de Lausanne (EPFL) in Switzerland. Both wall specimens were unconfined and detailed with a single-layer of vertical reinforcement to replicate some of the current construction practices being conducted in Colombia. Both walls reached ultimate drifts larger than 2.5-3.0% and initially failed due to buckling of the longitudinal reinforcement at the flange ends. The buckling length was 700-800 mm, which corresponded to 44-50 bar diameters.
DOI: 10.5281/zenodo.3614079
title: Dataset: Seismic Performance of Slender RC U-shaped Walls with a Single-Layer of Reinforcement

description: This dataset contains the experimental data for two large-scale reinforced concrete U-shaped wall specimens tested at the Earthquake Engineering and Structural Dynamics Laboratory (EESD Lab), École Polytechnique Féderale de Lausanne (EPFL) in Switzerland. This dataset contains supplementary material for the journal paper titled, "Seismic Performance of Slender RC U-shaped Walls with a Single-Layer of Reinforcement", which contains some of the experimental observations and results. Thus, this dataset also contains MATLAB files associated with calculating the results presented in the journal paper and the corresponding figures and plots. The abstract for the journal paper is below: Reinforced concrete walls are typically used to resist the lateral loading induced by wind and earthquake actions. While most walls feature two vertical reinforcement layers, in some regions the use of slender reinforced concrete walls with a single vertical layer of reinforcement is current construction practice or has been in the past. The seismic performance of such elements is largely unknown given the paucity of experimental research that has been conducted on walls with a single layer of reinforcement, particularly for non-rectangular walls, such as the popular U-shaped wall. This paper presents the results of two slender reinforced concrete U-shaped walls tested at the Earthquake Engineering and Structural Dynamics Laboratory (EESD Lab), École Polytechnique Féderale de Lausanne (EPFL) in Switzerland. Both wall specimens were unconfined and detailed with a single-layer of vertical reinforcement to replicate some of the current construction practices being conducted in Colombia. Both walls reached ultimate drifts larger than 2.5-3.0% and initially failed due to buckling of the longitudinal reinforcement at the flange ends. The buckling length was 700-800 mm, which corresponded to 44-50 bar diameters.
DOI: 10.6084/m9.figshare.11769879.v4
title: Simulated significant wave height (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp245 experiment r1i1p1f1

description: Simulated significant wave height (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp245 experiment (one of future scenarios) r1i1p1f1. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.5285/335ea0c5ed984f2ea5887ecf5d3e0993
title: BACI: System State Vector (SSV) land surface time series dataset for the Viterbo fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for Viterbo and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.5281/zenodo.3631261
title: MalDevGenome: A Longitudinal and Large-Scale AndroidMalware Developer Dataset

description: Dataset for the paper "MalDevGenome: A Longitudinal and Large-Scale AndroidMalware Developer Dataset". We have collected 1,411,830 apps from 10,708 different malware developer. These apps belongs to 1,035 different malware families. We provided the basic information, anti-virus detection result and sensitive behaviors of the apps, including app name, package name, apk file hashes, developer certificate hashes, permission, service, content provider, activity, broadcast receiver, library, hardcode string and the malware family name. And we will upload some representative malware developers’ application APK files later. As far, we uploaded 3 CSV file, including app basic informations, Virustotal's detection results and sensitive behaviors . (1)MalDevGenome_basic_info.csv App basic informations, including app name, package name, developer signature, apk file hashes, AV-Rank, malware family, etc. (2)MalDevGenome_virustotal_detection.csv Detailed VirusTotal's detection, including AV-Rank and details detection information of each anti-virus engine. These data are indexed according to Apk file MD5. (3)MalDevGenome_sensitive_behaviors.csv The sensitive behaviors of the samples, including permission, service, content provider, activity, broadcast receiver, library and hardcode string, etc. These data are indexed according to Apk file MD5.
DOI: 10.5281/zenodo.3631262
title: MalDevGenome: A Longitudinal and Large-Scale AndroidMalware Developer Dataset

description: Dataset for the paper "MalDevGenome: A Longitudinal and Large-Scale AndroidMalware Developer Dataset". We have collected 1,411,830 apps from 10,708 different malware developer. These apps belongs to 1,035 different malware families. We provided the basic information, anti-virus detection result and sensitive behaviors of the apps, including app name, package name, apk file hashes, developer certificate hashes, permission, service, content provider, activity, broadcast receiver, library, hardcode string and the malware family name. And we will upload some representative malware developers’ application APK files later. As far, we uploaded 3 CSV file, including app basic informations, Virustotal's detection results and sensitive behaviors . (1)MalDevGenome_basic_info.csv App basic informations, including app name, package name, developer signature, apk file hashes, AV-Rank, malware family, etc. (2)MalDevGenome_virustotal_detection.csv Detailed VirusTotal's detection, including AV-Rank and details detection information of each anti-virus engine. These data are indexed according to Apk file MD5. (3)MalDevGenome_sensitive_behaviors.csv The sensitive behaviors of the samples, including permission, service, content provider, activity, broadcast receiver, library and hardcode string, etc. These data are indexed according to Apk file MD5.
DOI: 10.17632/56vtgh2fcm.1
title: Typology of Electric Vehicle Driving

description: Appendix to submitted paper: A Typology of Electric Vehicle Driving: mapping journey-making, driver behaviour changes and digital interventions [complete typology]
DOI: 10.3886/e104642v3-22063
title: 2016 Annual Survey of Refugees

description: Since the 1980s, the Office of Refugee Resettlement[1] (ORR) has conducted the Annual Survey of Refugees (ASR), which collects information on refugees during their first five years after arrival in the U.S. The ASR is the only scientifically-collected source of national data on refugees’ progress toward self-sufficiency and integration. ORR uses the ASR results alongside other information sources to fulfill its Congressionally-mandated reporting following the Refugee Act of 1980. Historically, the microdata from these surveys have generally been unavailable to researchers. <br> <br>In the Spring of 2017 ORR completed its 50th Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and shows the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2016 ASR with future years likely to be added to the ICPSR archive.. <br> [1] The Office of Refugee Resettlement (ORR) at the Administration for Children and Families in the U.S. Department of Health and Human Services (HHS) serves refugees and other humanitarian entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa holders, Amerasians, victims of human trafficking, and unaccompanied children. By providing these arrived populations with critical resources, ORR promotes their economic and social well-being. The Annual Survey of Refugees focuses solely on those refugees who have come to the U.S. in the past five fiscal years.
description: Household- and person-level analytic weights were developed for the 2016 ASR to allow for valid statistical estimates of the target refugee population. Both sets of weights are comprised of two components – a base weight reflecting the selection probability and an adjustment that corrects for differential nonresponse and aligns the population to known totals from the sampling frame (RADS universe file).
description: Response Rates: An overall response rate of 24 percent was achieved. The response rate was driven by the ability to locate and speak to (1500+468)/6176 = 32 percent of the sample, meaning that two thirds of the sample could either not be located, or (if located) could not be successfully contacted. The overall response rates decreased with time since arrival to the U.S., varying from 20 percent for FY 2011-2012 refugees to 25 percent for FY 2013-2014 refugees and a high of 31 percent for FY 2015 refugees.
description: telephone interview~~
description: Refugees aged 16 years old or over at the time of interview who arrived in the U.S. during FY 2011-2015 Smallest Geographic Unit: Census region originally resettled in and the country of birth
description: The 2016 ASR employed a stratified probability sample design of refugees. The first stage of selection was the household (PA), and the second stage was the selection of persons within households.
DOI: 10.5281/zenodo.3632112
title: Classification and Quantification of Strawberry Fruit Shape

description: "Classification and Quantification of Strawberry Fruit Shape" is a dataset that includes raw RGB images and binary images of strawberry fruit. These folders contain JPEG images taken from the same experimental units on 2 different harvest dates. Images in each folder are labeled according to the 4 digit plot ID from the field experiment (####_) and the 10 digit individual ID (_##########). <strong>"H1"</strong> and<strong> "H2"</strong> folders contain RGB images of multiple fruits. Each fruit was extracted and binarized to become the images in "H1_indiv" and "H2_indiv". <strong>"H1_indiv"</strong> and<strong> "H2_indiv"</strong> folders contain images of individual fruit. Each fruit is bordered by ten white pixels. There are a total of 6,874 images between these two folders. The images were used then resized and scaled to be the images in "ReSized". <strong>"ReSized"</strong> contains 6,874 binary images of individual berries. These images are all square images (1000x1000px) with the object represented by black pixels (0) and background represented with white pixels (1). Each image was scaled so that it would take up the maximum number of pixels in a 1000 x 1000px image and would maintain the aspect ratio. <strong>"Fruit_image_data.csv"</strong> contains all of the morphometric features extracted from individual images including intermediate values. All images title with the form "B##_NA" were discarded prior to any analyses. These images come from the buffer plots, not the experimental units of the study.
DOI: 10.5281/zenodo.3632116
title: Germany and German Occupied Territories Imperial Prisoners of War Alphabetical List: Section 4: New Zealand: 2nd New Zealand Expeditionary Force

description: CSV file of the members of the Second New Zealand Expeditionary Force that were taken prisoners of war in Germany and German Occupied Territories. This 1944 publication has been transcribed and matched against the Online Cenotaph database part of Auckland War Memorial Museum and includes 6370 entries. Most entries relate to Army personnel but it includes some Air Force prisoners of war. Includes reference to 56 Prisoner of War Camps. 11A Altengrabow 11B Fallingbostel 13C Hammelburg am Main. 17A Kaisersteinbruck nei Bruck (Leitha) 17B Gneizendorf 18A Wolfsber (Karnton) 18A/Z Spitall/Drau. 20A Thorn Podgorz. 20B Marienburg 21D Posen. 2D Stagard. 317 Markt Pongau (St. Johann) 344 Lamsdorf 357 Kopernikus 383 Hohen Fels. 398 Pupping near Ling 3A Luckenwalde 3B Furstenberg (R. Ode). 3D Berlin-Steglitz 4A Hohenstein 4B Muhlberg (Elbe) 4C Wistritz bei Teplitz 4D Torgau (Elbe) 4D/Z Annaburg 4F Hartmandorf Chemnitz 4G Oschatz 5B Villingen Schwarzwald 7A Moosburg (Isar) 7B Memmingen 8A Gorlitz 8B Teschen 8C Kunau Kzz Sprottau/Sagan 9B Wegschelde 9C Muhlhausen B.A.B. 20 Bau und Arbeits Battalion 20, Hydebreck B.A.B. 21 Bau und Arbeits Battalion 21, Blechammer Komaron Komarou L1 Stalag Luft 1, Barth Vogelsang L3 Stalag Luft 3, Sagan and Belaria L6 Stalag Luft 6, Heydekrug MUMN (Mar.) Marlag Nord, Westertimke (Tarnstedt) MUMN (Milag) Milag Nord, Westertimke (Tarnstedt) O.9A/H Spagenburg bei Kassel (O.9A/H) O.9A/Z Spagenburg bei Kassel (O.9A/Z) O12B Hadamar O4C Saalhaus Colditz O5A Weinberg (Wurtemburg) O79 Braunschweigh (formerly O.8F) O7B Eichstatt O9A/H Spagenburg bei Kassel O9A/Z Rotenburg Fulda O9B Siklos Slovakia Szigetva Original catalogue record can be found in Collections Online. Field Names <strong>Sequence number order</strong> <strong>Camp.No. P.O.W. No. Name Rank Army No.</strong> – original information <strong>Camp.NO</strong> – Camp Number – split from original <strong>POWNO</strong>. – Prisoner of War Number – split from original <strong>Last name and initials</strong> – split from original <strong>Rank</strong> – split from original <strong>Army No.</strong> – split from original <strong>Alias</strong> – split from original <strong>Online Cenotaph number</strong> – Online Cenotaph system ID <strong>Online Cenotaph Last name </strong>– Full name from Online Cenotaph <strong>Online Cenotaph First names </strong>– Full first names from Online Cenotaph
description: All efforts have been made to clean the data, but we acknowledge there may be some inaccuracies or mismatching.
DOI: 10.5281/zenodo.3631821
title: 72 Still lifes from the Rijksmuseum Amsterdam, their id's, longTitles and Descriptions

description: This dataset contains the information of 72 Still Life-type paintings from the Rijksmuseum Amsterdam. Their information was extracted using their API's: https://data.rijksmuseum.nl/object-metadata/api/
DOI: 10.5281/zenodo.3631822
title: 72 Still lifes from the Rijksmuseum Amsterdam, their id's, longTitles and Descriptions

description: This dataset contains the information of 72 Still Life-type paintings from the Rijksmuseum Amsterdam. Their information was extracted using their API's: https://data.rijksmuseum.nl/object-metadata/api/
DOI: 10.6084/m9.figshare.11769879.v5
title: Simulated significant wave height (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp245 experiment r1i1p1f1

description: Simulated significant wave height (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp245 experiment (one of future scenarios) r1i1p1f1. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.17632/fmx84f94tv.1
title: Data for: When Negotiators with Honest Reputations are Less (and More) Likely to be Deceived

description: The current research examines negotiators’ deception behaviors towards unfamiliar counterparts with varying creditable reputations– specifically, proficient, friendly, and honest reputations. We primarily differentiate between the honest and friendly reputations, which are both seemingly cooperative, and often tangled in the negotiation literature. We generally hypothesized that Negotiators would deceive counterparts with honest reputations less than those with friendly (or proficient) reputations and that the attenuated deception towards counterparts with honest versus friendly (or proficient) reputations would disappear (or even backfire) in the face of in-congruency – that is, in face of counterparts' deceptive conduct. We also gained further insight into the underlying mechanisms and boundary conditions. Data was extracted from "Qualtrics". It includes raw data from our negotiation sessions (reported in Studies 1 to 4) including three preliminary studies (A, B, and C). Please note that in Studies 2 and 4, we also had a prior phase - reported in the manuscript as phase 1, which measured various individual differences, including participants' dispositional lying tendencies. Study 2 and Study 4's data files contain the main session variables (Phase 2) plus the individual differences measures collected in Phase 1 (for the same participant). The actual chat sessions (conducted via "chatplat" in Study 4) are also attached in a txt file extracted from "chatplat" platform, and are in Hebrew. SPSS data files are attached (for each Study). We added a label for each variable for further clarifications. We also attached SPSS syntax files. These files include comments demonstrating the exact filter condition (Data-&gt; Select Cases) used before any analyses were conducted. We further report the specific SPSS analyses conducted and reported in the manuscript.
DOI: 10.7910/dvn/xaootr/9rw4mp
title: SurveyInstruments.zip

description: :unav
DOI: 10.7910/dvn/xaootr/kt5rfq
title: QJE_Replication.zip

description: :unav
DOI: 10.7910/dvn/xaootr/pjgpw7
title: RawData.zip

description: :unav
DOI: 10.7910/dvn/xaootr/pjh3fe
title: Codes.zip

description: :unav
DOI: 10.3886/icpsr36814.v2
title: Newly Licensed Registered Nurse Survey, 2011
title: Version 2

description: This is the fourth wave of a multi wave panel survey that studied newly licensed registered nurses who obtained their first license to practice between September 1, 2004 and August 31, 2005. It was conducted as part of the RN Work Project, a national study of new nurses funded by the Robert Wood Johnson Foundation. The survey interviewed the nurses about their jobs, turnover, intentions and attitudes--including intent, satisfaction, organizational commitment, and preferences about work.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
description: Response Rates: 77 percent of the nurses who were contacted for wave 4 returned a completed or partially completed survey.
description: Datasets: DS1: Dataset
description: Newly Licensed Registered Nurse Survey Series
description: mail questionnaire
description: Nurses who responded to the third wave of the survey.
description: The wave 4 survey attempted to interview all of the nurses who responded to the wave 3 survey: Newly Licensed Registered Nurse Survey, 2009 (ICPSR 36813).
DOI: 10.17632/y73st746mw.1
title: Data for: The effect of artificial leaching with HCl on chloride binding in ordinary Portland cement paste

description: These files are most of the raw data used for our paper on the effect or HCl on chloride binding.
DOI: 10.5281/zenodo.3631983
title: The dataset of interatomic distances between the atoms, not linked with a covalent bond

description: <strong>non-bonded_b3lyp.txt non-bonded_B97-3c.txt non-bonded_PBEh-3c.txt </strong>- the datasets of the atomic pairs, not linked with a covalent bond. Each line in each file has the following format: <em>Element Element </em>0<em> MoleculeId AtomId1 AtomId2</em> Here <em>MoleculeId </em>is the same as identifiers used in the dataset of covalent bond lengths resulting from the first-principle calculations, available at https://doi.org/10.5281/zenodo.2631844 (the underlying optimized molecular geometries are available via this link as well).
DOI: 10.5281/zenodo.3631984
title: The dataset of interatomic distances between the atoms, not linked with a covalent bond

description: <strong>non-bonded_b3lyp.txt non-bonded_B97-3c.txt non-bonded_PBEh-3c.txt </strong>- the datasets of the atomic pairs, not linked with a covalent bond. Each line in each file has the following format: <em>Element Element </em>0<em> MoleculeId AtomId1 AtomId2</em> Here <em>MoleculeId </em>is the same as identifiers used in the dataset of covalent bond lengths resulting from the first-principle calculations, available at https://doi.org/10.5281/zenodo.2631844 (the underlying optimized molecular geometries are available via this link as well).