cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e115661v1
title: Environmental assessment of Obstacle Limitation Surfaces (OLS) in airports using geographic information technologies

description: The aim is to ensure that aircraft can safely carry out their scheduled operations, and to prevent the aerodromes from becoming unusable due to the proliferation of obstacles in the surrounding area. One such possible obstacle is the vegetation growing in the zone. This study therefore focuses on measuring the height and geolocation of the obstacle in order to determine its influence on the OLS, and on determining the subsequent actions, if any, that need to be taken in regard to this vegetation element to avoid it becoming a risk to operational safety
description: the height and geolocation of the obstacle in order to determine its influence on the OLS
DOI: 10.7910/dvn/t5akaw/65e2v3
title: snap_imm.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/8x3uxl
title: aotc_j_uk.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/b4lcdl
title: Abecedarian.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/fkoumd
title: Work_Advance.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/fxo0qz
title: cal_grant_gpa.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/k7safw
title: mto_young.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/lzigd9
title: mc_preg_women.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/wx58pj
title: national_parent_child_rank.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/awh5s6
title: DI_veterans.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/iiulai
title: ACS_2015_mean_wages_by_age_HS_only.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/iluvnp
title: perry_pre_school.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/m11uyq
title: historical_hhinc_cbo.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/nlkirg
title: work_advance.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/oooawt
title: Cal_Grant_Income.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/vwhoic
title: jtpa_adult.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/4scmmu
title: tra86.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/mcde0g
title: Nat_Tuition.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/nmwm1k
title: NSW_Youth.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/oilqwz
title: snap_imm.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/pmocap
title: hs_rd.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/tg9dtb
title: UI_e_johnston.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/x1fdse
title: cfc_hoekstra.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/0psvmq
title: di_veterans.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/cirknm
title: obra93.csv

description: :unav
DOI: 10.7910/dvn/t5akaw/cjiec3
title: mto_all.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/grnzyd
title: 50923-marginaltaxratesdataunderlyingfigures (1).tab

description: :unav
DOI: 10.7910/dvn/t5akaw/la1vjs
title: kalamazoo.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/u5jwn6
title: HOPE_extended.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/uebuee
title: aotc_j_lk.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/csdv9a
title: tuition_s_pe.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/jysimz
title: ssi_judge.tab

description: :unav
DOI: 10.17632/vhbt22pr6r.1
title: Data for: Physically-based land surface temperature modeling in urban areas using a 3-D city model and multispectral satellite data

description: lst.stefan-boltzman.sh - GRASS GIS shellscript
DOI: 10.5281/zenodo.3549665
title: S17 | KEMIMARKET | KEMI Market List

description: This is the collection associated with list S17 KEMIMARKET on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ S17 : KEMIMARKET: <strong>KEMI Market List</strong> KEMI Market List MS-ready (12/05/2017) KEMI Market List XLSX with (12 MB) or without (1MB) structures (29/12/2017) CompTox KEMI Market List KEMI Market MS-ready InChIKeys (12/05/2017) KEMI Market Full InChIKeys (29/12/2017) Provided by Stellan Fischer, KEMI including Hazard and Exposure scores, documented here. Curated by Reza Aalizadeh, University of Athens. NOTE: This upload also contains files from July 2017 that have now been superseded by the December 2017 files. Nov 14 2019 update: added CSV of latest file. Nov 21 Update: fixed 3 truncated InChIKeys in CSV and InChIKey file.
DOI: 10.7910/dvn/t5akaw/uw6fov
title: Fafsa_help_ind.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/w0q9nb
title: tax_rate_by_quintile.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/yfw7jw
title: aotc_I_lk.tab

description: :unav
DOI: 10.5281/zenodo.3549826
title: Data Repository for: SOCIO-ENVIRONMENTAL IMPACTS OF OIL PALM CONTRACT FARMING SCHEMES IN THE BRAZILIAN AMAZON

description: Contract farming is arguably a pro-poor strategy to promote rural development and minimize the social impacts of large-scale agricultural expansion. Yet, little attention has been paid to its environmental impacts, particularly in tropical landscapes. This article fills this gap by linking social and environmental analysis of oil palm contract farming in the Brazilian Amazon. The analysis presented used a mix of quantitative and qualitative methods, including household surveys, remote sensing techniques, and in-depth interviews, to assess whether the scheme managed to avoid deforestation and to contribute to livelihood improvements. The results show that the Brazilian model managed to prevent the deforestation of primary forests, but achieved limited and differentiated livelihood results. The analysis suggests that the Brazilian model is more likely to work for households with an agricultural vocation and a commercial spirit in areas with an abundant availability of degraded lands, but can hardly be a solution in frontier areas or for subsistence or more dependent households. The chapter concludes with some reflections on how contract farming schemes should be designed in order to maximize livelihood gains and minimize negative environmental impacts.
description: This research was conducted with the financial support of the DfID-funded KnowFOR (Forestry Knowledge) program. This work is part of the CGIAR Research Program on Forests, Trees and Agroforestry (FTA). This research is supported by CGIAR Fund Donors. For a list of Fund donors, please see: www.cgiar.org/ about-us/our-funders/.
DOI: 10.5281/zenodo.3549827
title: Data Repository for: SOCIO-ENVIRONMENTAL IMPACTS OF OIL PALM CONTRACT FARMING SCHEMES IN THE BRAZILIAN AMAZON

description: Contract farming is arguably a pro-poor strategy to promote rural development and minimize the social impacts of large-scale agricultural expansion. Yet, little attention has been paid to its environmental impacts, particularly in tropical landscapes. This article fills this gap by linking social and environmental analysis of oil palm contract farming in the Brazilian Amazon. The analysis presented used a mix of quantitative and qualitative methods, including household surveys, remote sensing techniques, and in-depth interviews, to assess whether the scheme managed to avoid deforestation and to contribute to livelihood improvements. The results show that the Brazilian model managed to prevent the deforestation of primary forests, but achieved limited and differentiated livelihood results. The analysis suggests that the Brazilian model is more likely to work for households with an agricultural vocation and a commercial spirit in areas with an abundant availability of degraded lands, but can hardly be a solution in frontier areas or for subsistence or more dependent households. The chapter concludes with some reflections on how contract farming schemes should be designed in order to maximize livelihood gains and minimize negative environmental impacts.
description: This research was conducted with the financial support of the DfID-funded KnowFOR (Forestry Knowledge) program. This work is part of the CGIAR Research Program on Forests, Trees and Agroforestry (FTA). This research is supported by CGIAR Fund Donors. For a list of Fund donors, please see: www.cgiar.org/ about-us/our-funders/.
DOI: 10.7910/dvn/t5akaw/2dbxni
title: JTPA_Adult.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/2gidd2
title: mc_intro.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/2mm3ki
title: htc_I_lk.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/4losig
title: paycheck_plus.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/6hligg
title: WtW_workexp.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/cgvkys
title: mass_hi_150.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/fp3dzs
title: abecedarian.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/fuh9nf
title: snap_assist.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/ng5vmz
title: IPEDS_DCP_Database_Mapping_File_87_15.xls

description: :unav
DOI: 10.5281/zenodo.3549830
title: "The maximum weighted submatrix coverage problem: A CP approach": experiment results

description: This is the result of the experiment from the paper "The maximum weighted submatrix coverage problem: A CP approach". The original analysis was lost, and so the extraction of the result has been re-done. It should not differ from the original results. The interesting files are the following: - all.json contains a JSON list. Each element of the list contains the result of running all the methods on a specific matrix. Each entry is in the form {"name": "file of the matrix", "k": number of searched submatrices, "run": {"method": ["time", "objective value"]}}. CONTAINS ONLY RESULTS FOR THE SYNTH DATASET - best.json contains the best result obtained for each matrix. It is extracted from all.json.CONTAINS ONLY RESULTS FOR THE SYNTH DATASET - The other zips contains the results for the real dataset.
DOI: 10.5281/zenodo.3549831
title: "The maximum weighted submatrix coverage problem: A CP approach": experiment results (synthetic dataset)

description: This is the result of the experiment from the paper "The maximum weighted submatrix coverage problem: A CP approach". The original analysis was lost, and so the extraction of the result has been re-done. It should not differ from the original results. The interesting files are the following: - all.json contains a JSON list. Each element of the list contains the result of running all the methods on a specific matrix. Each entry is in the form {"name": "file of the matrix", "k": number of searched submatrices, "run": {"method": ["time", "objective value"]}}. - best.json contains the best result obtained for each matrix. It is extracted from all.json.
DOI: 10.5525/gla.researchdata.913
title: Parallel selection on ecologically relevant gene functions in the transcriptomes of highly diversifying salmonids
DOI: 10.7910/dvn/t5akaw/7dqcwb
title: CPC_extended.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/hvlgql
title: UI_extensions.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/im8nni
title: Further program details.xlsx

description: :unav
DOI: 10.7910/dvn/t5akaw/keiz37
title: Adult_Pell.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/nqmyuo
title: cpi_u.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/qjvdij
title: jobs_plus.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/ua76er
title: hail_aid.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/wkvjma
title: cost_of_college_data.tab

description: :unav
DOI: 10.5281/zenodo.3549470
title: weecology/portalPredictions 2019-11-21

description: Using various models to forecast abundances at Portal
DOI: 10.5281/zenodo.3549471
title: weecology/forecasts 2019-11-21

description: Archived forecasts for future analysis
DOI: 10.7910/dvn/t5akaw/1nafng
title: snap_info.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/4wcpsl
title: eitc_obra93.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/5l89cx
title: QUEST-1.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/bjvyfh
title: figure_1_earnings.png

description: :unav
DOI: 10.7910/dvn/t5akaw/gb7b4y
title: hsis.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/n3tldx
title: AOTC_J_UK.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/pzzbth
title: UI_schmieder_ben.xlsx

description: :unav
DOI: 10.21227/wxep-6q74
title: SU-AIS BB-MAS (Syracuse University and Assured Information Security - Behavioral Biometrics Multi-device and multi-Activity data from Same users) Dataset

description: We provide a large benchmark dataset consisting of about: 3.5 million keystroke events; 57.1 million data-points for accelerometer and gyroscope each; and 1.7 million data-points for swipes. Data was collected between April 2017 and June 2017 after the required IRB approval. Data from 117 participants, in a session lasting between 2 to 2.5 hours each, performing multiple activities such as: typing (free and fixed text), gait (walking, upstairs and downstairs) and swiping activities while using desktop, phone and tablet is shared. The dataset reported here also contains extracted features which are explored in the literature. The file "Demographics.csv" provides demographics information such as: Age, Height, Handedness, Typing Style, Device usage hours per day and number of Languages spoken and typed for each participant.
DOI: 10.5281/zenodo.3549845
title: Data Repository for: SOCIO-ENVIRONMENTAL IMPACTS OF OIL PALM CONTRACT FARMING SCHEMES IN THE BRAZILIAN AMAZON

description: Contract farming is arguably a pro-poor strategy to promote rural development and minimize the social impacts of large-scale agricultural expansion. Yet, little attention has been paid to its environmental impacts, particularly in tropical landscapes. This article fills this gap by linking social and environmental analysis of oil palm contract farming in the Brazilian Amazon. The analysis presented used a mix of quantitative and qualitative methods, including household surveys, remote sensing techniques, and in-depth interviews, to assess whether the scheme managed to avoid deforestation and to contribute to livelihood improvements. The results show that the Brazilian model managed to prevent the deforestation of primary forests, but achieved limited and differentiated livelihood results. The analysis suggests that the Brazilian model is more likely to work for households with an agricultural vocation and a commercial spirit in areas with an abundant availability of degraded lands, but can hardly be a solution in frontier areas or for subsistence or more dependent households. The chapter concludes with some reflections on how contract farming schemes should be designed in order to maximize livelihood gains and minimize negative environmental impacts.
description: This research was conducted with the financial support of the DfID-funded KnowFOR (Forestry Knowledge) program. This work is part of the CGIAR Research Program on Forests, Trees and Agroforestry (FTA). This research is supported by CGIAR Fund Donors. For a list of Fund donors, please see: www.cgiar.org/ about-us/our-funders/.
DOI: 10.7910/dvn/t5akaw/6am8bv
title: hous_vou_afdc.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/lz6yav
title: HOPE_Extended.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/nzc8zc
title: hous_vou_chicago.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/qbl9vm
title: afdc_term_limits.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/swk4v0
title: cal_grant_income.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/uhnmqa
title: birth_rates_by_age_by_cohort.xlsx

description: :unav
DOI: 10.5281/zenodo.3549477
title: S61 | UJICCSLIB | Collision Cross Section (CCS) Library from UJI

description: This is the collection associated with list S61 UJICCSLIB on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ A list of 970 collision cross section values from 556 compounds (both positive and negative ionization modes, and N2 as a drift gas using TWIMS-QTOF instrument) provided by Alberto Celma et al. (submitted)
DOI: 10.5281/zenodo.3549851
title: "The maximum weighted submatrix coverage problem: A CP approach": experiment results

description: This is the result of the experiment from the paper "The maximum weighted submatrix coverage problem: A CP approach". The original analysis was lost, and so the extraction of the result has been re-done. It should not differ from the original results. The interesting files are the following: - all.json contains a JSON list. Each element of the list contains the result of running all the methods on a specific matrix. Each entry is in the form {"name": "file of the matrix", "k": number of searched submatrices, "run": {"method": ["time", "objective value"]}}. CONTAINS ONLY RESULTS FOR THE SYNTH DATASET - best.json contains the best result obtained for each matrix. It is extracted from all.json.CONTAINS ONLY RESULTS FOR THE SYNTH DATASET - The other zips contains the results for the real dataset.
DOI: 10.7910/dvn/t5akaw/29xcno
title: afdc_max_ben.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/3kqhnw
title: WtW_mixed.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/hjrwpu
title: usa_00006.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/nni4pb
title: erta81.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/r5ytmg
title: fsag.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/sxozru
title: CPC_school_age.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/t1wng0
title: ui_assumptions_files.do

description: :unav
DOI: 10.7910/dvn/t5akaw/yjhwkm
title: TennesseeHOPE.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/ziyp73
title: wic.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/zkolip
title: ohio_pell.tab

description: :unav
DOI: 10.3886/e108441
title: Prediction of freshman GPA from college-admissions and high school tests

description: The current focus on assessing “college and career readiness” raises an empirical question: how do high-school tests compare with college-admissions tests in predicting performance in college? We explored this using data from the City University of New York and public colleges in Kentucky. These two systems differ in the choice of college-admissions test, the stakes for students on the high-school test, and demographics. We predicted freshman grade-point average (FGPA) from high-school grade-point average and both college-admissions and high-school tests in mathematics and English. In both systems, the choice of tests had only trivial effects on the aggregate prediction of FGPA. Adding either test to an equation that included the other had only trivial effects on prediction. Although the findings suggest that the choice of test might advantage or disadvantage different students, it had no substantial effect on the over- and underprediction of FGPA for students classified by race/ethnicity or poverty. <br><br><br><br><br>
DOI: 10.3886/e108441v1-19723
title: Prediction of freshman GPA from college-admissions and high school tests

description: The current focus on assessing “college and career readiness” raises an empirical question: how do high-school tests compare with college-admissions tests in predicting performance in college? We explored this using data from the City University of New York and public colleges in Kentucky. These two systems differ in the choice of college-admissions test, the stakes for students on the high-school test, and demographics. We predicted freshman grade-point average (FGPA) from high-school grade-point average and both college-admissions and high-school tests in mathematics and English. In both systems, the choice of tests had only trivial effects on the aggregate prediction of FGPA. Adding either test to an equation that included the other had only trivial effects on prediction. Although the findings suggest that the choice of test might advantage or disadvantage different students, it had no substantial effect on the over- and underprediction of FGPA for students classified by race/ethnicity or poverty. <br><br><br><br><br>
DOI: 10.7910/dvn/lo4urr/etio2i
title: Cell cycle HACAT_75uM_Rep3 (10).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/mcrs1b
title: Cell Viability A375_75uM_Rep4 (7).fcs

description: :unav
DOI: 10.7910/dvn/t5akaw/4n75y6
title: cfc_miansufi.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/4xmtkw
title: k12_spend.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/cpb0jk
title: eitc_obra93.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/huevx7
title: jobstart.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/lbho7b
title: ACS_2015_mean_wages_by_age.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/rb9mvh
title: ssi_review.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/uywmbm
title: EITC_Ad.tab

description: :unav
DOI: 10.7910/dvn/lo4urr/cdg892
title: Cell cycle A431_75uM_Rep3 (9).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/cy0glv
title: Cell cycle HACAT_75uM_Rep3 (11).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/e1tqqx
title: CEll Viability HACAT_75uM_Rep3 (10).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/tqdu6b
title: Cell cycle A375_75uM_Rep4 (1).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/xeyr2m
title: Cell cycle A431_75uM_Rep3 (12).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/xs71sa
title: Cell cycle A375_75uM_Rep4 (12).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/y2edv8
title: Cell Viability A375_75uM_Rep4 (16).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/ybpjtb
title: Cell cycle HACAT_75uM_Rep3 (4).fcs

description: :unav
DOI: 10.7910/dvn/t5akaw/08uug3
title: UI_b_solon.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/4kj49o
title: Tuition_S_PS.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/7mnnf8
title: erta81.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/91bx67
title: di_benefit_rk.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/ddlvay
title: nit.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/kp7vgw
title: Perry_Pre_School.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/kuwfkw
title: Tuition_S_PE.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/r6pfoi
title: jtpa_youth.tab

description: :unav
DOI: 10.7910/dvn/t5akaw/xxv9sd
title: di_examiner.tab

description: :unav
DOI: 10.7910/dvn/lo4urr/0u4ysn
title: Cell cycle A375_75uM_Rep4 (10).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/5krlu8
title: Cell cycle HACAT_75uM_Rep3 (3).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/8cgq27
title: Cell Viability A431_75uM_Rep3 (1).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/b0udhg
title: Cell Viability A375_75uM_Rep4 (1).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/h8pp0y
title: Cell cycle A375_75uM_Rep4 (8).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/iz7487
title: Cell Viability A375_75uM_Rep4 (6).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/nmq8we
title: Cell cycle A431_75uM_Rep3 (7).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/xbibtw
title: Cell cycle A431_75uM_Rep3 (10).fcs

description: :unav
DOI: 10.7910/dvn/lo4urr/zldrmy
title: CEll Viability HACAT_75uM_Rep3 (4).fcs

description: :unav
DOI: 10.7910/dvn/smt6cm/4pixgc
title: J0003021.fits

description: :unav
DOI: 10.7910/dvn/smt6cm/r6t8kr
title: J0003022.fits

description: :unav
DOI: 10.5281/zenodo.8352274
title: CESPED-10786_split0

description: CESPED-10786_split0 is part of the Cryo-EM Supervised Pose Estimation Dataset benchmark. The particles*.star file contains the metadata, and the .mrcs.chunk* contains the images. https://arxiv.org/abs/2311.06194
DOI: 10.5281/zenodo.8352275
title: CESPED-10786_split0

description: CESPED-10786_split0 is part of the Cryo-EM Supervised Pose Estimation Dataset benchmark. The particles*.star file contains the metadata, and the .mrcs.chunk* contains the images. https://arxiv.org/abs/2311.06194
DOI: 10.5281/zenodo.10229582
title: Test splits for CREMA-D, emoDB, IEMOCAP, MELD, RAVDESS

description: Test splits for the categorical emotion datasets CREMA-D, emoDB, IEMOCAP, MELD, RAVDESS used inside audEERING. 
For each dataset, a CSV file is provided listing the file names included in the test split.
The test splits were designed trying to balance gender and emotional categories as good as possible.
DOI: 10.5281/zenodo.10229583
title: Test splits for CREMA-D, emoDB, IEMOCAP, MELD, RAVDESS

description: Test splits for the categorical emotion datasets CREMA-D, emoDB, IEMOCAP, MELD, RAVDESS used inside audEERING. 
For each dataset, a CSV file is provided listing the file names included in the test split.
The test splits were designed trying to balance gender and emotional categories as good as possible.