cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48677/e99eadd8-61c5-4a25-8cff-72d4fd1d7b94
title: Flugortungskarte 2001

description: Zu einem wichtigen Bestandteil des Luftbildarchivs des BEV zählen die Flugortungskarten, die zum Auffinden der für ein Interessensgebiet notwendigen Messungsaufnahmen dienen.
Flugortungskarten sind Übersichten, die je Flugoperat erstellt werden und das jeweils beflogene Gebiet abbilden. Es wird die Lage der geflogenen Flugstreifen sowie die Bildmittenpunkte der Messungsaufnahmen dargestellt. Weiters werden die wesentlichen Informationen des Bildfluges (Flugtitel, Archivnummer, Brennweite, Flugdatum, Bildmaßstab, Filmtyp, Längs- sowie Querüberdeckung) angeführt.

Flugortungskarten stehen im Luftbildarchiv des BEV zu jedem Bildflug seit 1949 zur Verfügung.
DOI: 10.11588/data/he3baz
title: Converter for content-to-head style syntactic dependencies

description: A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).
DOI: 10.11588/data/he3baz/qgz2gm
title: readme.txt

description: :unav
DOI: 10.11588/data/he3baz/rur275
title: convert.zip

description: :unav
DOI: 10.11588/data/aosuy6
title: German Twitter Titling Corpus

description: The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a doctoral degree, of whom 6 from a left-leaning political party and 4 from a right-leaning political party.
DOI: 10.11588/data/aosuy6/5b4jkx
title: README.MD

description: :unav
DOI: 10.11588/data/aosuy6/b9v2qs
title: GTTC.tab

description: :unav
DOI: 10.11588/data/aosuy6/c1fx81
title: GTTC_addendum.tab

description: :unav
DOI: 10.15468/dl.byemsv
title: Occurrence Download

description: A dataset containing 13734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence)",
 "TaxonKey is Pteropus alecto Temminck, 1837"
 ]
}

 The dataset includes 13734 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001906-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/data/hvxxij
title: X-SRL Dataset and mBERT Word Aligner

description: This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled English
sentences) into the target side (for example a German translation of the
sentence) by transferring the label into the best-aligned target word. 
This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages.
DOI: 10.11588/data/hvxxij/dio3vf
title: xsrl_mbert_aligner.zip

description: :unav
DOI: 10.11588/data/hvxxij/tc9yew
title: README.md

description: :unav
DOI: 10.11588/data/2evbvw
title: Narratives for Lengyel funerary practice (Supplementary Material)

description: Supplementary tables 1–6; supplementary figures 1–3
DOI: 10.11588/data/2evbvw/8wmeub
title: Lengyel supplementary Fig 1.pdf

description: :unav
DOI: 10.11588/data/2evbvw/erkyuk
title: Lengyel Supplementary Table 1.pdf

description: :unav
DOI: 10.11588/data/2evbvw/kfklfk
title: Lengyel Supplementary Table 3 incidence_matrix_2.tab

description: :unav
DOI: 10.11588/data/2evbvw/l8kt4t
title: Lengyel supplementary Fig 3.pdf

description: :unav
DOI: 10.11588/data/2evbvw/n4besr
title: Lengyel Supplementary Table 5 seriation_outlier_3_phase.pdf

description: :unav
DOI: 10.11588/data/2evbvw/tsoxgq
title: Lengyel supplementary Fig 2.pdf

description: :unav
DOI: 10.11588/data/2evbvw/vjs0hv
title: Lengyel Supplementary Table 2 incidence_matrix_1.tab

description: :unav
DOI: 10.11588/data/2evbvw/xqlwqg
title: Lengyel Supplementary Table 6 Diaconescu_outlier_3_phase.pdf

description: :unav
DOI: 10.11588/data/2evbvw/yntdha
title: Lengyel Supplementary Table 4 sites.pdf

description: :unav
DOI: 10.11588/data/hf0lx9
title: The LBK site of Vráble in Southwestern Slovakia: Selected results of the excavation season 2016 (Supplementary Material)

description: Table 8
DOI: 10.11588/data/hf0lx9/8fswjn
title: Vrable Tabelle_08.xlsx

description: :unav
DOI: 10.11588/data/akfw5u
title: Equality of the Sexes and Gender Differences in Competition: Evidence from Three Traditional Societies [Supplementary Materials]

description: Can gender-balanced social norms mitigate the gender differences in competitiveness that are observed in traditional patriarchic as well as in modern societies? We experimentally assess men's and women's preferences to compete in a traditional society where women and men have similar rights and entitlements alongside a patriarchic and a matrilineal society which have previously been studied. We find that, unlike in the patriarchic society, there is no significant gender difference in the inclination to compete in the gender-balanced society. We also find that women's decisions in our experiment are optimal more often than men's in the gender-balanced society - opposite to the pattern encountered in the patriarchic society. Our results highlight the importance of culture and socialization for gender differences in competitiveness and suggest that the large gender-differences in competitiveness documented for modern societies are a long-term consequence of a patriarchic heritage.
DOI: 10.11588/data/akfw5u/u8eksx
title: exit_survey.pdf

description: Exit Survey (for experiment participants)
DOI: 10.11588/data/akfw5u/um2o9l
title: codebook.pdf

description: Codebook (for coding of social norms from People of India Chapters)
DOI: 10.11588/data/yh80di/1ujefi
title: condensate_fraction-checkpoint.ipynb
DOI: 10.11588/data/yh80di/3baicl
title: imbalance_scan_20_05_2019-checkpoint.ipynb
DOI: 10.11588/data/yh80di/4kjsuf
title: Appendix-checkpoint.ipynb
DOI: 10.11588/data/yh80di/6tmkkt
title: 2019-04-25.zip

description: :unav
DOI: 10.11588/data/yh80di/7w8oit
title: imbalance_scan_16_05_2019.ipynb
DOI: 10.11588/data/yh80di/9ckiep
title: dts_array.npy
DOI: 10.11588/data/yh80di/9ql4lg
title: 2019-05-18.zip

description: :unav
DOI: 10.11588/data/yh80di/9tixgc
title: 2019-05-20.zip

description: :unav
DOI: 10.11588/data/yh80di/az2scv
title: dts_array.npy
DOI: 10.11588/data/yh80di/b5zclc
title: 2019-05-22.zip

description: :unav
DOI: 10.11588/data/yh80di/ckpfjr
title: 2019-04-24.zip

description: :unav
DOI: 10.11588/data/yh80di/cmzqwz
title: cluster_simulation-checkpoint.ipynb
DOI: 10.11588/data/yh80di/cphqnb
title: figure3_4-checkpoint.ipynb
DOI: 10.11588/data/yh80di/cqq3jt
title: dts_array.npy
DOI: 10.11588/data/yh80di/d5npea
title: 4_1_4_building_block_dynamics.ipynb
DOI: 10.11588/data/yh80di/gnyahb
title: 4_2_2_resonance_measurements.ipynb
DOI: 10.11588/data/yh80di/hoqjlr
title: dts_array.npy
DOI: 10.11588/data/yh80di/i7ywla
title: 4_2_1_time_evolution.ipynb
DOI: 10.11588/data/yh80di/jslx10
title: 2019-04-23.zip

description: :unav
DOI: 10.11588/data/yh80di/jzfqz4
title: 2019-05-21.zip

description: :unav
DOI: 10.11588/data/yh80di/kakdaq
title: 4_2_time_evolution-checkpoint.ipynb
DOI: 10.11588/data/yh80di/kmv7xo
title: exp_data_from_08_05_2019.zip
DOI: 10.11588/data/yh80di/mzmehp
title: Appendix.ipynb
DOI: 10.11588/data/yh80di/nlon7f
title: 4_2_resonance_measurements-checkpoint.ipynb
DOI: 10.11588/data/yh80di/nwha6g
title: 4_2-checkpoint.ipynb
DOI: 10.11588/data/yh80di/nxlia0
title: dts_array.npy
DOI: 10.11588/data/yh80di/oeabre
title: dts_array.npy
DOI: 10.11588/data/yh80di/onm8ic
title: condensate_fraction.ipynb
DOI: 10.11588/data/yh80di/pmmi4l
title: dts_array.npy
DOI: 10.11588/data/yh80di/pyvpz0
title: imbalance_scan_18_05_2019-checkpoint.ipynb
DOI: 10.11588/data/yh80di/qp7ffk
title: 4_1_3_initial_state_simulation.ipynb
DOI: 10.11588/data/yh80di/rjtacw
title: dts_array.npy
DOI: 10.11588/data/yh80di/rtjs1d
title: imbalance_scan_16_05_2019-checkpoint.ipynb
DOI: 10.11588/data/yh80di/ths3ap
title: imbalance_scan_18_05_2019.ipynb
DOI: 10.11588/data/yh80di/uesc1y
title: 2019-04-19.zip

description: :unav
DOI: 10.11588/data/yh80di/usdoqp
title: dts_array.npy
DOI: 10.11588/data/yh80di/vxlcb5
title: analyse.py
DOI: 10.11588/data/yh80di/w6urom
title: 4_1-checkpoint.ipynb
DOI: 10.11588/data/yh80di/x8dr0k
title: 2019-05-16.zip

description: :unav
DOI: 10.11588/data/yh80di/xjoypo
title: imbalance_scan_20_05_2019.ipynb
DOI: 10.11588/data/yh80di/ychqf0
title: dts_array.npy
DOI: 10.11588/data/yh80di/zs135e
title: 2019-04-18.zip

description: :unav
DOI: 10.11588/data/yh80di/0tj325
title: imbalance_theo_and_data-checkpoint.ipynb
DOI: 10.11588/data/yh80di/1qecte
title: paper_functions.cpython-35.pyc
DOI: 10.11588/data/yh80di/2elxkg
title: Li_Imaging_calibration-checkpoint.ipynb
DOI: 10.11588/data/yh80di/45po3a
title: paper_functions.py
DOI: 10.11588/data/yh80di/4gvdne
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/57przd
title: paper_functions.py
DOI: 10.11588/data/yh80di/64xtqy
title: paper_functions.cpython-35.pyc
DOI: 10.11588/data/yh80di/6r4das
title: our_experimental_constants.py
DOI: 10.11588/data/yh80di/7qfj3z
title: imbalance_scan_25_04_2019.ipynb
DOI: 10.11588/data/yh80di/7qk9bc
title: paper_functions.cpython-35.pyc
DOI: 10.11588/data/yh80di/9b7acp
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/a4aynx
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/ae4hwy
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/aetjgt
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/casnkr
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/cktfrz
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/drn7y5
title: imbalance_scan_25_04_2019-checkpoint.ipynb
DOI: 10.11588/data/yh80di/emzoek
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/en8dlp
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/g3ttw7
title: paper_functions.py
DOI: 10.11588/data/yh80di/h91qqp
title: imbalance_scan_23_05_2019-checkpoint.ipynb
DOI: 10.11588/data/yh80di/huds2t
title: paper_functions.py
DOI: 10.11588/data/yh80di/ikdhrs
title: Na_Imaging_calibration-checkpoint.ipynb
DOI: 10.11588/data/yh80di/jqgzh5
title: imbalance_scan_22_05_2019-checkpoint.ipynb
DOI: 10.11588/data/yh80di/k8fvzj
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/l2itlf
title: Li_Imaging_calibration.ipynb
DOI: 10.11588/data/yh80di/ls00vu
title: our_experimental_constants.cpython-35.pyc
DOI: 10.11588/data/yh80di/mozwcs
title: imbalance_scan_21_05_2019.ipynb
DOI: 10.11588/data/yh80di/mpmyb9
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/mvhnvs
title: paper_functions.cpython-35.pyc
DOI: 10.11588/data/yh80di/ng4kap
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/nkyrom
title: figure3_4-checkpoint.ipynb
DOI: 10.11588/data/yh80di/oewx1r
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/okiwmy
title: losses.txt
DOI: 10.11588/data/yh80di/oq7pxe
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/p7w1sm
title: paper_functions.cpython-35.pyc
DOI: 10.11588/data/yh80di/phe4ae
title: GPE.py
DOI: 10.11588/data/yh80di/q0rrw9
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/rci4z9
title: imbalance_scan_adapted-checkpoint.ipynb
DOI: 10.11588/data/yh80di/seckvy
title: Na_Imaging_calibration.ipynb
DOI: 10.11588/data/yh80di/ttvbkb
title: imbalance_scan_22_05_2019.ipynb
DOI: 10.11588/data/yh80di/uowpwq
title: sampled_runs_18_04_2019.npy
DOI: 10.11588/data/yh80di/utcjsr
title: imbalance_scan_21_05_2019-checkpoint.ipynb
DOI: 10.11588/data/yh80di/ux64nv
title: initial_state_simulation-checkpoint.ipynb
DOI: 10.11588/data/yh80di/uyuke7
title: paper_functions.py
DOI: 10.11588/data/yh80di/v83kut
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/vcd0uf
title: GPE.cpython-35.pyc
DOI: 10.11588/data/yh80di/vzzzvc
title: lithium_density_0406.npy
DOI: 10.11588/data/yh80di/xougtw
title: li_ods_array.npy
DOI: 10.11588/data/yh80di/0rflms
title: scan002_run003.h5
DOI: 10.11588/data/yh80di/1bp19k
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/6jdqy2
title: README.md

description: :unav
DOI: 10.11588/data/yh80di/79jc7q
title: paper_functions.py
DOI: 10.11588/data/yh80di/akmyiv
title: scan002_run002.h5
DOI: 10.11588/data/yh80di/bwqhfg
title: parameters.txt
DOI: 10.11588/data/yh80di/c3cvnc
title: scan002_run013.h5
DOI: 10.11588/data/yh80di/coun1k
title: scan002_run001.h5
DOI: 10.11588/data/yh80di/dfmak6
title: scan002_run003.h5
DOI: 10.11588/data/yh80di/dzf0vb
title: scan002_run007.h5
DOI: 10.11588/data/yh80di/foifvm
title: scan002_run001.h5
DOI: 10.11588/data/yh80di/fqe6vy
title: sampled_runs_imb_2068.npy
DOI: 10.11588/data/yh80di/fqtul8
title: requirements.txt

description: :unav
DOI: 10.11588/data/yh80di/gimzx6
title: Neues Textdokument.txt
DOI: 10.11588/data/yh80di/iyo5zm
title: sampled_runs_imb_1968.npy
DOI: 10.11588/data/yh80di/khxhln
title: paper_functions.cpython-35.pyc
DOI: 10.11588/data/yh80di/mugfcc
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/mwhgfx
title: phd_alexander_mil.pdf

description: :unav
DOI: 10.11588/data/yh80di/nd4dvd
title: scan002_run014.h5
DOI: 10.11588/data/yh80di/ocayrx
title: particle_numbers.txt
DOI: 10.11588/data/yh80di/oovxox
title: paper_functions.cpython-35.pyc
DOI: 10.11588/data/yh80di/rkkhyy
title: na_ods_array.npy
DOI: 10.11588/data/yh80di/tzoese
title: sampled_runs_imb_2137.npy
DOI: 10.11588/data/yh80di/u8dd5g
title: scan002_run005.h5
DOI: 10.11588/data/yh80di/uvl3mx
title: scan001_run002.h5
DOI: 10.11588/data/yh80di/vsgf75
title: sampled_runs_imb_2118.npy
DOI: 10.11588/data/yh80di/vvrl7a
title: sampled_runs_24_04_2019.npy
DOI: 10.11588/data/yh80di/wnhygd
title: scan002_run002.h5
DOI: 10.11588/data/yh80di/yax1gt
title: scan002_run004.h5
DOI: 10.11588/data/yh80di/ynqkgh
title: scan002_run005.h5
DOI: 10.11588/data/yh80di/yqnx83
title: sampled_runs_imb_2019.npy
DOI: 10.11588/data/yh80di/2vekht
title: scan001_run001.h5
DOI: 10.11588/data/yh80di/5hpbl2
title: scan003_run007.h5
DOI: 10.11588/data/yh80di/5wylln
title: scan011_run003.h5
DOI: 10.11588/data/yh80di/5zpsxw
title: scan003_run002.h5
DOI: 10.11588/data/yh80di/6d94am
title: scan003_run004.h5
DOI: 10.11588/data/yh80di/7rbgwr
title: scan003_run001.h5
DOI: 10.11588/data/yh80di/8eqy8k
title: scan011_run020.h5
DOI: 10.11588/data/yh80di/8zojlm
title: scan002_run010.h5
DOI: 10.11588/data/yh80di/dmoq1t
title: scan011_run002.h5
DOI: 10.11588/data/yh80di/dxlmro
title: scan001_run003.h5
DOI: 10.11588/data/yh80di/e3bukh
title: scan001_run002.h5
DOI: 10.11588/data/yh80di/fmrbpl
title: scan003_run001.h5
DOI: 10.11588/data/yh80di/fqwzhs
title: scan002_run001.h5
DOI: 10.11588/data/yh80di/hitjot
title: scan005_run006.h5
DOI: 10.11588/data/yh80di/j9rlk2
title: scan002_run005.h5
DOI: 10.11588/data/yh80di/jdujnb
title: scan003_run016.h5
DOI: 10.11588/data/yh80di/kukjkk
title: sampled_runs_imb_2009.npy
DOI: 10.11588/data/yh80di/lwussx
title: scan003_run005.h5
DOI: 10.11588/data/yh80di/os7u3t
title: scan011_run001.h5
DOI: 10.11588/data/yh80di/qedp9f
title: scan011_run001.h5
DOI: 10.11588/data/yh80di/qjbxzh
title: scan003_run003.h5
DOI: 10.11588/data/yh80di/rwaznl
title: scan005_run001.h5
DOI: 10.11588/data/yh80di/uok15r
title: scan002_run012.h5
DOI: 10.11588/data/yh80di/uopztq
title: scan008_run002.h5
DOI: 10.11588/data/yh80di/vdw8db
title: scan002_run008.h5
DOI: 10.11588/data/yh80di/wb50sq
title: scan002_run017.h5
DOI: 10.11588/data/yh80di/yfrtta
title: scan002_run004.h5
DOI: 10.11588/data/yh80di/ykrgqp
title: scan003_run004.h5
DOI: 10.11588/data/yh80di/z4zpjp
title: scan002_run015.h5
DOI: 10.11588/data/pfdji1
title: Standardized Streamflow Index time series for 369 rivers across Europe

description: There are many ways to characterize the streamflow drought hazard. Recently, the use of anomaly indices, such as the Standardized Streamflow index (SSI), a probability index-based approach adopted from the climatological community, increased in popularity. The SSI can be calculated based on various probability distributions that can be fitted using different methods. Up to now, there is no consensus on which method to use.

This data set contains SSI time series of 369 rivers located across Europe derived with seven different probability distributions and two fitting methods. These data were used to investigate the sensitivity of the SSI, and drought characteristics derived from SSI time series, to the used distribution and fitting method. 

The dataset also contains ensembles of SSI time series derived from resampled data. These resampled SSI time series were used to investigate the sensitivity of the SSI to various sample properties as well as to estimate its uncertainty.
description: R, 3.4.2
DOI: 10.11588/data/pfdji1/dxgsmz
title: Standardized_Streamflow_Index_time_series_for_369_rivers_across_Europe.zip

description: :unav
DOI: 10.11588/data/unwrfn
title: Instructed partnership appreciation in depression: Effects on mood, momentary relationship satisfaction, and stress reactivity [dataset]

description: This study compared the affective and psychobiological response of depressed and non-depressed romantic couples in an instructed partnership appreciation task (PAT) scenario that included positive feedback and appreciative communication. With the observation of (close to) naturalistic behavior between real-life partners and the emphasis on positive interaction, we aimed at extending previous research that rather focused on conflict behavior or non-intimate laboratory stressors. The general hypothesis was that couples with depression, and the depressed female index-patients in particular, would benefit less from instructed positive couple interaction, in comparison to healthy controls. A total of 184 individuals were included. Contrary to our expectation, depressed couples’ subjective mood and momentary relationship satisfaction improved in response to the PAT. At the same time, cortisol outputs were higher in depressed women than in healthy controls, particularly if participants were in a longer-term relationship. This data suggests, that instructed and individualized positive feedback between partners can have a psychobiological effect on women with depression, with potential implications for treatment.
DOI: 10.11588/data/unwrfn/im5huh
title: SIDE_PAT_HEIDATA_200612.tab

description: :unav
DOI: 10.11588/data/yh80di/2iysvq
title: scan014_run003.h5
DOI: 10.11588/data/yh80di/5qpill
title: scan011_run001.h5
DOI: 10.11588/data/yh80di/5zanav
title: scan003_run002.h5
DOI: 10.11588/data/yh80di/89izdu
title: scan012_run001.h5
DOI: 10.11588/data/yh80di/9lhi6i
title: scan003_run003.h5
DOI: 10.11588/data/yh80di/alun9f
title: scan011_run009.h5
DOI: 10.11588/data/yh80di/aohtuy
title: scan020_run001.h5
DOI: 10.11588/data/yh80di/c9yn6f
title: scan011_run003.h5
DOI: 10.11588/data/yh80di/d1hd0d
title: scan003_run011.h5
DOI: 10.11588/data/yh80di/eoubxw
title: scan009_run002.h5
DOI: 10.11588/data/yh80di/euhl68
title: scan011_run024.h5
DOI: 10.11588/data/yh80di/fbs38m
title: scan002_run003.h5
DOI: 10.11588/data/yh80di/fnza3f
title: scan011_run002.h5
DOI: 10.11588/data/yh80di/gtdxwu
title: scan005_run002.h5
DOI: 10.11588/data/yh80di/hub5fm
title: scan003_run014.h5
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title: scan003_run012.h5
DOI: 10.11588/data/yh80di/ijcncp
title: scan009_run004.h5
DOI: 10.11588/data/yh80di/j2pdwd
title: scan003_run009.h5
DOI: 10.11588/data/yh80di/mhtncw
title: scan011_run008.h5
DOI: 10.11588/data/yh80di/nczw8s
title: scan014_run004.h5
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title: scan005_run004.h5
DOI: 10.11588/data/yh80di/o4dhtc
title: scan005_run005.h5
DOI: 10.11588/data/yh80di/p2ntzm
title: scan011_run011.h5
DOI: 10.11588/data/yh80di/sdilwu
title: scan003_run017.h5
DOI: 10.11588/data/yh80di/sf63d5
title: scan015_run002.h5
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title: scan002_run009.h5
DOI: 10.11588/data/yh80di/te4tsh
title: scan015_run001.h5
DOI: 10.11588/data/yh80di/tgp4zj
title: scan010_run002.h5
DOI: 10.11588/data/yh80di/tkabqe
title: scan009_run003.h5
DOI: 10.11588/data/yh80di/utpx9h
title: scan002_run006.h5
DOI: 10.11588/data/yh80di/v7z2eq
title: scan005_run003.h5
DOI: 10.11588/data/yh80di/wt748n
title: scan009_run005.h5
DOI: 10.11588/data/yh80di/xih94z
title: scan003_run005.h5
DOI: 10.11588/data/qna02b/gqktr4
title: README.md

description: :unav
DOI: 10.11588/data/yh80di/0esunh
title: scan003_run015.h5
DOI: 10.11588/data/yh80di/3rdxtr
title: scan011_run005.h5
DOI: 10.11588/data/yh80di/4pwenj
title: scan002_run011.h5
DOI: 10.11588/data/yh80di/5ccvjg
title: scan011_run007.h5
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title: scan011_run018.h5
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title: scan003_run008.h5
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title: scan013_run002.h5
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title: scan002_run004.h5
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title: scan021_run002.h5
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title: scan003_run018.h5
DOI: 10.11588/data/yh80di/bybz97
title: scan006_run001.h5
DOI: 10.11588/data/yh80di/dfxd4a
title: scan016_run001.h5
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title: scan003_run010.h5
DOI: 10.11588/data/yh80di/helqlb
title: scan007_run001.h5
DOI: 10.11588/data/yh80di/hjcny2
title: scan015_run002.h5
DOI: 10.11588/data/yh80di/irmhyq
title: scan015_run004.h5
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title: scan003_run013.h5
DOI: 10.11588/data/yh80di/jvr1h5
title: scan019_run002.h5
DOI: 10.11588/data/yh80di/lew7bv
title: scan015_run005.h5
DOI: 10.11588/data/yh80di/mwctkl
title: scan002_run002.h5
DOI: 10.11588/data/yh80di/pjd2oy
title: scan009_run001.h5
DOI: 10.11588/data/yh80di/pptzux
title: scan011_run027.h5
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title: scan011_run029.h5
DOI: 10.11588/data/yh80di/qtxw50
title: scan009_run001.h5
DOI: 10.11588/data/yh80di/tx2hsn
title: scan008_run001.h5
DOI: 10.11588/data/yh80di/w0onmh
title: scan006_run003.h5
DOI: 10.11588/data/yh80di/wjidru
title: scan009_run002.h5
DOI: 10.11588/data/yh80di/wlcptq
title: scan003_run006.h5
DOI: 10.11588/data/yh80di/wnogwj
title: scan018_run001.h5
DOI: 10.11588/data/yh80di/xjc2aj
title: scan011_run005.h5
DOI: 10.11588/data/qna02b
title: VOSTOK - The Voxel Octree Solar Toolkit

description: VOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set. The program is written in C++ and makes use of the "SOLPOS.H" library (&lt;a href="http://rredc.nrel.gov/solar/codesandalgorithms/solpos/"&gt;http://rredc.nrel.gov/solar/codesandalgorithms/solpos/&lt;/a&gt;) to compute the angular position of the sun in the sky for a given location on Earth and a given moment in time. VOSTOK can use any 3D point cloud (e.g. LIDAR, SfM) as XYZ-locations (with surface normal vector information) for which the incoming sunlight shall be computed (the computation points).
description: The latest source code is available on github: 
https://github.com/GIScience/vostok.
DOI: 10.11588/data/qna02b/rhl69t
title: vostok-202003.zip

description: :unav
DOI: 10.11588/data/yh80di/0a9gk2
title: scan011_run010.h5
DOI: 10.11588/data/yh80di/1m6swv
title: scan011_run015.h5
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title: scan011_run031.h5
DOI: 10.11588/data/yh80di/4beyu1
title: scan027_run001.h5
DOI: 10.11588/data/yh80di/5dscap
title: scan020_run002.h5
DOI: 10.11588/data/yh80di/aanxef
title: scan011_run021.h5
DOI: 10.11588/data/yh80di/b1lxuw
title: scan022_run001.h5
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title: scan027_run002.h5
DOI: 10.11588/data/yh80di/dalsh0
title: scan011_run012.h5
DOI: 10.11588/data/yh80di/done1b
title: scan011_run022.h5
DOI: 10.11588/data/yh80di/evr4mm
title: scan017_run001.h5
DOI: 10.11588/data/yh80di/gnnma4
title: scan014_run005.h5
DOI: 10.11588/data/yh80di/grlupj
title: scan011_run002.h5
DOI: 10.11588/data/yh80di/hqumpd
title: scan011_run025.h5
DOI: 10.11588/data/yh80di/im2pay
title: scan014_run002.h5
DOI: 10.11588/data/yh80di/jdzdxf
title: scan011_run004.h5
DOI: 10.11588/data/yh80di/jo7lro
title: scan010_run001.h5
DOI: 10.11588/data/yh80di/jpyih2
title: scan014_run002.h5
DOI: 10.11588/data/yh80di/kkydtl
title: scan012_run002.h5