cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zznmjvrbsp.1
title: Consumption of Bollywood Movies among second-generation Indian-Americans

description: The data was collected among second-generation Indian Americans aged between 18-26 to understand how they interpret Bollywood movies they watch. Diaspora and Bollywood share a peculiar relationship since diaspora uses Bollywood movies to connect to the homeland. The findings show that there are both similarities and dissimilarities in the ways second-generation audiences consume Bollywood in comparison to first-generation audiences. In many ways their readings are contradictory. However, such contradictory readings persist due to their multiple positionalities they occupy in relation to the cross cultural influences in their lives. While they are nostalgic about their Indianness that was portrayed in Bollywood movies of the 90s, they were also subjected to criticism on how they portrayed women. Today's movies received acclaim for their effort towards addressing problems in the way gender was dealt previously, these audiences believe there is certain loss of authenticity in movies of today. Data was collected using telephonic interviews. Snowball and purposive sampling was used to reach out to those audiences who frequently watched Bollywood movies. The interview schedule was semi-structured and the questions tried to bring out the interpretations of the respondents regarding how gender is portrayed in Bollywood movies from the recent past. This is including but not limited to notions of attractiveness, gender roles, and gender stereotypes. Respondents were asked to reflect on what they think are commonplace characteristics of a hero and a heroine in Bollywood movies and how the interaction between the two genders plays out. Specific examples of instances from recent movies are used to help respondents to engage with the question in a well-rounded fashion while being wary of any impulses to lead them on.
DOI: 10.17632/czf3xp6ncz.1
title: SERVQUAL data on teacher professional program (PPG)

description: The data collected is a form of participant's responses to the quality of service for the professional teacher education program that has been implemented in 2020 and organized by Universitas Negeri Yogyakarta, under the Ministry of Education Culture in Indonesia. Respondents are elementary school teachers spread across various regions of Indonesia.
DOI: 10.17632/mzddtdt66d.1
title: GC-MS raw data

description: GC-MS raw data
DOI: 10.17632/crp9hr6kyf.3
title: Data for Performance and Decision Making under Monitoring and Outcome Pressurere
DOI: 10.17632/h4ctm954tk.1
title: LINF_070005600

description: cytochrome c1; Leishmania infantum
DOI: 10.17632/9tggxsvcwv.1
title: Accommodation on the Canary Islands managed by amateur hosts

description: Accommodations on the Canary Islands managed by amateur hosts. An amateur host manages only one accommodation. The dataset contains a csv file with 5136 accommodations (rows), each read from Airbnb on March 29, 2019. Each accomodation contains 260 fields (columns) representing characteristics of the property, characteristics of the host, and supplemental elements like the number of reviews received, etc. Columns included are: h_friends_count,h_has_available_payout_info,h_has_profile_pic,h_identity_mt_verified,h_identity_v2_verified,h_identity_verified,h_is_marketplace_cohost,h_is_trip_host,h_recommendation_count,h_reviewee_count,h_show_travel_for_work,h_signup_method,hn_lon_about,hn_lon_school,hn_lon_work,hn_monthsold,hn_n_languages,hn_n_verifications,hn_response_rate_num,hn_rt_1d,hn_rt_1h,hn_rt_nd,hn_rt_nh,last_message,lis_amenities_count,lis_bathrooms,lis_bedrooms,lis_beds,lis_cal_upd_meses,lis_cal_upd_semanas,lis_cleaning_fee_native,lis_guests_included,lis_has_agreed_to_legal_terms,lis_has_license,lis_has_viewed_ib_perf_dashboard_panel,lis_has_viewed_terms,lis_hosts_count,lis_instant_book_enabled,lis_instant_bookable,lis_is_location_exact,lis_listing_weekend_price_native,lis_max_nights,lis_min_nights,lis_monthly_price_factor,lis_monthly_price_native,lis_person_capacity,lis_picture_count,lis_price,lis_price_for_extra_person_native,lis_require_guest_phone_verification,lis_require_guest_profile_picture,lis_review_rating_accuracy,lis_review_rating_checkin,lis_review_rating_cleanliness,lis_review_rating_communication,lis_review_rating_location,lis_review_rating_value,lis_security_deposit_native,lis_square_feet,lis_weekly_price_factor,lis_weekly_price_native,ln_am_001,ln_am_002,ln_am_003,ln_am_004,ln_am_005,ln_am_006,ln_am_007,ln_am_008,ln_am_009,ln_am_010,ln_am_011,ln_am_012,ln_am_014,ln_am_015,ln_am_016,ln_am_017,ln_am_018,ln_am_019,ln_am_020,ln_am_021,ln_am_023,ln_am_025,ln_am_027,ln_am_028,ln_am_030,ln_am_031,ln_am_032,ln_am_033,ln_am_034,ln_am_035,ln_am_036,ln_am_037,ln_am_038,ln_am_039,ln_am_040,ln_am_041,ln_am_042,ln_am_043,ln_am_044,ln_am_045,ln_am_046,ln_am_047,ln_am_049,ln_am_050,ln_am_051,ln_am_052,ln_am_053,ln_am_054,ln_am_055,ln_am_056,ln_am_057,ln_am_058,ln_am_059,ln_am_060,ln_am_061,ln_am_062,ln_am_063,ln_am_064,ln_am_065,ln_am_066,ln_am_067,ln_am_068,ln_am_069,ln_am_070, .... , ln_cp_1fle,ln_cp_2mod,ln_cp_3s14,ln_cp_4s30,ln_cp_5s60,ln_lon_add_house_rules,ln_lon_description,ln_lon_house_rules,ln_lon_interaction,ln_lon_neigh_overview,ln_lon_notes,ln_lon_space,ln_lon_summary,ln_lon_transit,ln_precio_pers,ln_pro_01,ln_pro_02,ln_pro_11,ln_pro_22,ln_pro_35,ln_pro_36,ln_pro_37,ln_pro_38,ln_pro_47,ln_pro_60,ln_pro_esp,ln_roty_eh,ln_roty_pr,ln_roty_sr,ln_star_00,ln_star_40,ln_star_45,ln_star_50,ln_yearsold,precio_cama,rn_can_18,rn_com_18,rn_res_18,lis_lat,lis_lng,lis_zipcode,h_is_generated_user,h_listings_count,h_total_listings_count,lis_has_viewed_cleaning,lis_is_business_travel_ready,lis_wireless_info, ... ,h_is_superhost
DOI: 10.17632/6ngxzszc4w.1
title: Role of Trust in Service Recommendation

description: The data set has two SPSS files. One each for EFA and CFA. These data sets have been used to arrive at the conclusion.
DOI: 10.17632/g9dvf7pnz6.1
title: Mete OZCAN

description: Asprosin Diabetes
DOI: 10.15468/qpqbtp
title: New generic concepts for orphaned lineages formerly treated as part of the genus Ocyptamus Macquart, 1834 (Diptera, Syrphidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Miranda, Gil Felipe Gonçalves, Skevington, Jeffrey H., Marshall, Stephen A. (2020): New generic concepts for orphaned lineages formerly treated as part of the genus Ocyptamus Macquart, 1834 (Diptera, Syrphidae). Zootaxa 4822 (2): 151-174, DOI: https://doi.org/10.11646/zootaxa.4822.2.1
DOI: 10.17632/5tjjs282s8.1
title: AWJM

description: AWJM Data
DOI: 10.17632/pxf2g7yjsf.1
title: Brigham and Women’s Hospital tumor classification system for basal cell carcinoma identifies patients with risk of metastasis and death

description: Supplemental Files
DOI: 10.17632/mdkjjbfmmw.1
title: miRNA Expression Data

description: Raw Ct values of miRNA panel sequences amplified from whole embryo lysates, conditioned media and blank media controls comprising datasets for Figures 1, 3, 4, 5 and 7.
DOI: 10.17632/r8gmbtv7w2.2
title: Multimodal Dataset of Freezing of Gait in Parkinson's Disease

description: Freezing of gaits (FOG), a debilitating transitory inability to pursue moving, is one of the severest symptoms of Parkinson's disease (PD). An accurate and reliable detection or prediction of FOG is of great significance for PD patients' assessment and rehabilitation. It is difficult to detect FOG with sufficient low-latency and high precision based on single sensor information. In order to improve the detection accuracy and facilitate further research, we gathered and presented a new multimodal dataset by combining rich physical and physiological sensor information. The multimodal data, including electroencephalogram (EEG), electromyogram (EMG), electrocardiogram (ECG), skin conductance (SC), and acceleration (ACC) in walking tasks, were collected using a high-quality hardware system integrated commercial and self-designed sensors. A standard experimental procedure was carefully designed to induce FOG in hospital surroundings. A total number of 12 PD patients completed the experiments and produced a total length of 3 hours and 42 minutes valid data. The FOG episodes in the multimodal data were labeled by two qualified physicians. The multimodal data can be used to efficiently discriminant FOG from normal locomotion, and indicated that changes in the multimodal motional and electrophysiological signals during FOG episodes could be used to guide PD patients' treatment and recovery.
DOI: 10.17632/586r25nts5.1
title: urbanisation dataset

description: The helps to search out the determinants of urbanization in case of Indian states especially focusing on infrastructure variables (both Physical and Social) as well as infrastructure investment. The study also attempted to differentiate the impact of various determinants on different Indian states which are grouped on the basis of Income. Interestingly asymmetrical impact of infrastructure variables on urbanization is worked out. This explains that the determinants of urbanization especially those related to infrastructure seem to influence our dependent variable differently.
DOI: 10.17632/zbp2w6cxvk.1
title: Skeletal element independence and implications for quantification
DOI: 10.17632/d94cxfwh9n.1
title: Datasets for the manuscript titled 'New evidence supports the incorporation of culture into sustainability science and policy design'

description: The datasets include the data used in the statistical analysis and the supplemental results (Table S4-Table S6) for the manuscript titled "New evidence supports the incorporation of culture into sustainability science and policy design".
DOI: 10.17632/jbjd5fmggh.1
title: Source code, sample data, and case study report for pyDRMetrics

description: Supplemental Materials for the article "pyDRMetrics - A Python Toolkit for Dimensionality Reduction Quality Assessment" File list: src/pyDRMetrics.py - the main module src/other py files - dependent modules data/ovarian-cancer-nci-pbsii-data-no-header.csv - SELDI-TOF-MS dataset used in the case stduy. 253 samples. Each sample has 15154 dimensions. data/cancer.csv - A subset of ovarian-cancer-nci-pbsii-data containing 10 normal and 10 cancer samples. DOI: 10.1016/S0140-6736(02)07746-2 data/digits.csv - 40 samples from the MNIST handwritten digits dataset. URL: http://yann.lecun.com/exdb/mnist/ data/raman.csv - Another dataset containing the Raman spectra of 46 infant formula milk powder samples. DOI: 10.1016/j.talanta.2019.120681 notebook.pdf - the code and result for the case study
DOI: 10.17632/k72nh7xj5c.2
title: COVID-19 Situation Assessment: Data from Belarus and Russia

description: Materials contain the data on the assessment of COVID-19 situation by adult respondents (age from 18 to 76) coming from countries with the common past, language and similar mentality but differing in governmental security measures during pandemic spring outbreak (no precautionary measures in Belarus (N=267); lockdown and financial support in Russia (N=397)). The data is given in .xlsx and .sav formats. The data was obtained using online survey platform (Google forms) from 2020.04.11 to 2020.06.04 (during the period of lock-down in Russia). The data contains socio-demographical information (sex, age, country of citizenship), survey answers and the results of two standardized psychological tests (to measure dangerous and threatening social world view and hardiness). The survey consists of four blocks: specific impact of the COVID-19 situation on various aspects of respondents’ life; estimation of different fears; estimation of various aspects of COVID-19 situation, and estimation of personal resources. Russian and English versions of the survey are given.
DOI: 10.5285/b93fb7c0-110f-2470-e053-6c86abc05d60
title: Nitrate isotope measurements from CTD niskin depth profiles from cruise PS100 in the Fram Strait during July-August 2016.

description: Nitrate isotope samples were collected onboard the R/V Polarstern in the Fram Strait from 18th June - 6th September 2016 as part of the Geotraces transect with samples analysed by the Changing Arctic Ocean programme. Seawater samples were filtered inline from the Niskin bottles, and frozen at -20degC until analysis on land. Samples were measured for δ<sup>15</sup>N-NO3 and δ<sup>18</sup>O-NO3 of nitrate using the Denitrifier method and bacterial strain P. aureofaciens. Samples were corrected using international reference standards IAEA-N3 and USGS-34 and an internal standard of North Atlantic Deep Water was run to check for inter-run comparability. Final values were calculated using the correction scheme of Weigand et al., (2016) with reproducibility of 0.1 and 0.3‰ for δ<sup>15</sup>N-NO3 and δ<sup>18</sup>O-NO3 respectively.
DOI: 10.17632/8r6h395pm8.2
title: The ZMYND8-regulated Mevalonate Pathway Endows YAP-High Intestinal Cancer with Metabolic Vulnerability

description: RAW data were integrated into a PPT file, including original imaging data of WB, 3C-PCR, etc.
DOI: 10.5285/b93fb7c0-110e-2470-e053-6c86abc05d60
title: Nitrate isotope measurements from CTD niskin depth profiles from cruise JR17005 in the Fram Strait during May-June 2018.

description: Nitrate isotope samples were collected onboard the RRS James Clark Ross in the Fram Strait from 8th May - 8th June 2018 as part of the Changing Arctic Ocean programme. Seawater samples were filtered inline from the Niskin bottles, and frozen at -20degC until analysis on land. Samples were measured for δ<sup>15</sup>N-NO3 and δ<sup>18</sup>O-NO3 of nitrate using the Denitrifier method and bacterial strain P. aureofaciens. Samples were corrected using international reference standards IAEA-N3 and USGS-34 and an internal standard of North Atlantic Deep Water was run to check for inter-run comparability. Final values were calculated using the correction scheme of Weigand et al., (2016) with reproducibility of 0.1 and 0.3‰ for δ<sup>15</sup>N-NO3 and δ<sup>18</sup>O-NO3 respectively.
DOI: 10.17632/5ftxp9s9wy.1
title: Mrs.

description: There are 15 instances for hybrid flow-shop scheduling problem with unrelated machine, each instance has five processing stages. The files name are also the name of the instances, for each instance file, there are many lines to describe the processing. The row with two data shows the processing stage and the number of processing equipment in this stage.The row with two data indicates the processing stage and the number of processing equipment in this stage. According to the number of processing equipment in this stage, the processing data corresponding to the number of rows will follow. One line describes the processing data of one equipment. Data in accordance with the processing time, unit energy consumption to explain the processing of each workpiece in this stage. The last two data of this line show the unit standby energy consumption and on-off energy consumption of this equipment.For more detailed description, please look instance file j15c5a1.txt.
DOI: 10.17632/k2s34gzt95.1
title: Replication Data for A Tale of Trust and Economic Inequality: Why are Spain and the United States Following Different Trajectories?

description: Replication data for the paper A Tale of Trust and Economic Inequality: Why are Spain and the United States Following Different Trajectories?
DOI: 10.17632/gdh5ckd5pj.1
title: Dataset on the response of iaa9-3 tomato mutants on drought stress in-vitro selection with Polyethylene Glycol

description: The data showed the response of iaa9-3 mutant under PEG in-vitro treatment
DOI: 10.6084/m9.figshare.13516472.v3
title: AralBasindata.zip

description: Water use and socio-economic data in the Aral Sea basin<br>
DOI: 10.17632/v835shc54z.1
title: Dataset for: Development of a Composite Measure for Mapping Rural Food and Nutrition Security: Application and Validation in the Drought-prone Bundelkhand Region of India

description: The dataset contains raw as well as processed data collected and compiled from various sources to construct a food and nutrition security index for the rural areas of Bundelkhand region, India.
DOI: 10.17632/cbpf92vr5j.3
title: Tea Fermentation Image Dataset

description: This dataset contains 6000 black tea fermentation images captured in a tea factory in Kenya. The databases should be used only for comparing algorithms, which can be considered as 'fair use' of the images and our metadata. You should not redistribute the images. You should reference the contributors whenever you use this dataset
DOI: 10.17632/fsk68b6s3y.1
title: ETHANOL EXTRACT of CYCLEA BARBATA MIERS INDUCES FOLLICLE DEVELOPMENT THROUGH 17β-ESTRADIOL LEVEL AND LHR EXPRESSION

description: ETHANOL EXTRACT of CYCLEA BARBATA MIERS INDUCES FOLLICLE DEVELOPMENT THROUGH 17β-ESTRADIOL LEVEL AND LHR EXPRESSION DATA
DOI: 10.17632/4n66brtp4j.1
title: COVID Chest X-Rays

description: Dataset is collected by the authors from 3 different hospitals from Uttar Pradesh and Rajasthan, India. 188 images (28 COVID-19, 83 abnormal, 77 healthy images were collected from King George's Medical University (K.G.M.U.), Lucknow, Uttar Pradesh, India. 68 images of COVID-19 patients were collected from Uttar Pradesh University of Medical Sciences (U.P.U.M.S.), Saifai, Etawah, Uttar Pradesh, India. 543 X-ray images (326 COVID-19, 217 abnormal) from Government Medical College, Kota, Rajasthan, India.
DOI: 10.17632/j9rfpwbjhj.1
title: Temporal metabolic response yields a dynamic biosignature of inflammation MS Data

description: LCMS data from a study of overweight and obese participants who underwent a high-fat meal challenge.
DOI: 10.17632/znns9msdx6.1
title: Data on Growth, Productivity, Pigments and Proximate Composition of Indigenous Marine Microalgae Isolated from Cox’s Bazar Coast

description: Raw Data on growth, productivity, pigments and proximate of microalgae
DOI: 10.17632/ffxn932pfn.1
title: Supplement tables and figures for Associations between life-course body shape and sex hormone concentrations in men, pre- and postmenopausal women

description: Supplemental Table 1. Trajectory modelling and model fit characteristics in men (HPFS), postmenopausal women (NHS+ NHS II) and premenopausal women (NHS+ NHS II). Supplemental Table 2. Sensitivity analysis on women who have never been exposed to hormone therapy. Percentage difference in biomarker levels between the reference group (the medium-stable group in postmenopausal women and the lean-stable/moderate group in premenopausal women) and the other trajectory groups in postmenopausal (NHS+ NHS II) and premenopausal women (NHS+ NHS II) Supplement Figure1. Flowchart of study participants. a) Of 3053 eligible men in the HPFS, 2431 were included in the final study. b) Of 7860 eligible women in the NHS study and 4517 in the NHS 2, 4801 premenopausal and 6018 postmenopausal women were included in the final study.
DOI: 10.17632/p4g2m3v2hw.1
title: Table 3. Selected physicochemical and magnetic properties of studied soils.

description: General characteristics and physico-chemical properties of the studied soils are presented in Tables 3. The soils were classified as Aridisols, Vertisols, Inceptisols, Alfisols and Mollisols (Soil Survey Staff, 2014) and Solonchaks, Calcisols, Vertisols, Luvisols, Kastanozems and Cambisols (IUSS Working Group WRB, 2015). Three dominant land uses were selected in the study area including cropland, pasture, and orchard (Table 2). The diagnostic horizons in the studied soil profiles were identified as: calcic horizon (Bk and Ck, for the accumulation of secondary carbonates), gypsic horizon (By, as the accumulation of gypsum), salic horizon (Bz and Cz, for the accumulation of salts more soluble than gypsum), argillic horizon (Bt, for the illuvial accumulation of phyllosilicate clay), and cambic horizon (Bw, as the development of color or structure) (Soil Survey Staff, 2014).
DOI: 10.17632/c5mxvxh6d5.1
title: U-Pb dating of Triassic units from the Domeyko Range, northern Chile (I)

description: This dataset covers the U-Pb dating of detrital and igneous samples from Triassic units across the Domeyko Range in northern Chile. The geochronology provides time constraints for the maximum depositional ages and the crystallization ages of some of these units (Sierra de Varas, Cerro Guanaco, Quebrada del Salitre formations). Files comprise samples analyzed in the Laboratorio de Estudios Isotópicos (bre12305-sup-0004-supinfo4.xlsx) and Arizona LaserChron (bre12305-sup-0003-supinfo3) laboratories. Each sample includes information about the zircons considered and discarded in the calculation of dates.
DOI: 10.17632/j2x3gbskfw.1
title: Datasets for lot sizing and scheduling problems in the fruit-based beverage production process

description: The datasets presented here were partially used in “Formulation and MIP-heuristics for the lot sizing and scheduling problem with temporal cleanings” (Toscano, A., Ferreira, D. , Morabito, R. , Computers & Chemical Engineering) [1], in “A decomposition heuristic to solve the two-stage lot sizing and scheduling problem with temporal cleaning” (Toscano, A., Ferreira, D. , Morabito, R. , Flexible Services and Manufacturing Journal) [2], and in “A heuristic approach to optimize the production scheduling of fruit-based beverages” (Toscano et al., Gestão & Produção, 2020) [3]. In fruit-based production processes, there are two production stages: preparation tanks and production lines. This production process has some process-specific characteristics, such as temporal cleanings and synchrony between the two production stages, which make optimized production planning and scheduling even more difficult. In this sense, some papers in the literature have proposed different methods to solve this problem. To the best of our knowledge, there are no standard datasets used by researchers in the literature in order to verify the accuracy and performance of proposed methods or to be a benchmark for other researchers considering this problem. The authors have been using small data sets that do not satisfactorily represent different scenarios of production. Since the demand in the beverage sector is seasonal, a wide range of scenarios enables us to evaluate the effectiveness of the proposed methods in the scientific literature in solving real scenarios of the problem. The datasets presented here include data based on real data collected from five beverage companies. We presented four datasets that are specifically constructed assuming a scenario of restricted capacity and balanced costs. These dataset is supplementary data for the submitted paper to Data in Brief [4]. [1] Toscano, A., Ferreira, D., Morabito, R., Formulation and MIP-heuristics for the lot sizing and scheduling problem with temporal cleanings, Computers & Chemical Engineering. 142 (2020) 107038. Doi: 10.1016/j.compchemeng.2020.107038. [2] Toscano, A., Ferreira, D., Morabito, R., A decomposition heuristic to solve the two-stage lot sizing and scheduling problem with temporal cleaning, Flexible Services and Manufacturing Journal. 31 (2019) 142-173. Doi: 10.1007/s10696-017-9303-9. [3] Toscano, A., Ferreira, D., Morabito, R., Trassi, M. V. C., A heuristic approach to optimize the production scheduling of fruit-based beverages. Gestão & Produção, 27(4), e4869, 2020. https://doi.org/10.1590/0104-530X4869-20. [4] Piñeros, J., Toscano, A., Ferreira, D., Morabito, R., Datasets for lot sizing and scheduling problems in the fruit-based beverage production process. Data in Brief (2021).
DOI: 10.17632/xwn69fgy6y.1
title: An Exploratory Sequential Mixed Methods Approach to Assess Consumers’ Beef Safety Behaviors in Home Kitchens Supplementary Data

description: Phase 1 & Phase 2 focus group & survey questions and raw dataset from An Exploratory Sequential Mixed Methods Approach to Assess Consumers’ Beef Safety Behaviors in Home Kitchens