cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3466889
title: Chronicle of Nature - Phenology of Reptiles of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Reptiles Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 322 records collected during 59 years between 1947 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466890
title: Chronicle of Nature - Phenology of Reptiles of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Reptiles Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 322 records collected during 59 years between 1947 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466891
title: Chronicle of Nature - Phenology of Fishes of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Fishes Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 710 records collected during 64 years between 1946 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466892
title: Chronicle of Nature - Phenology of Fishes of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Fishes Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 710 records collected during 64 years between 1946 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.7910/dvn/j2ndpp/eqaiik
title: 1_screeners_scaling_190924.R

description: :unav
DOI: 10.7910/dvn/j2ndpp/nwk8du
title: readme.txt

description: :unav
DOI: 10.7910/dvn/j2ndpp/sk4whu
title: Survey_Data.tab

description: :unav
DOI: 10.5281/zenodo.3466893
title: Chronicle of Nature - Phenology of Birds of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Birds Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 2430 records collected during 38 years between 1964 and 2004.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466894
title: Chronicle of Nature - Phenology of Birds of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Birds Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 2430 records collected during 38 years between 1964 and 2004.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466895
title: Chronicle of Nature - Phenology of Amphibia of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Amphibia Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 596 records collected during 57 years between 1946 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466896
title: Chronicle of Nature - Phenology of Amphibia of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Amphibia Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 596 records collected during 57 years between 1946 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.7910/dvn/j2ndpp/q2ypbp
title: 2_screeners_analysis_190924.R

description: :unav
DOI: 10.7910/dvn/j2ndpp/vuesit
title: 3_appendix_regressions_prep.do

description: :unav
DOI: 10.7910/dvn/j2ndpp/zkzf7n
title: 4_appendix_regressions.R

description: :unav
DOI: 10.3886/e112148
title: Classroom Management Plan_Data

description: Classroom management pre- and post-plan data<br>2017-2018 Academic Year
description: Secondary pre-service teachers
DOI: 10.3886/e112148v1
title: Classroom Management Plan_Data

description: Classroom management pre- and post-plan data<br>2017-2018 Academic Year
description: Secondary pre-service teachers
DOI: 10.5281/zenodo.3466897
title: Chronicle of Nature - Phenology of Plants of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 9179 records collected during 40 years between 1973 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466898
title: Chronicle of Nature - Phenology of Plants of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 9179 records collected during 40 years between 1973 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466899
title: Chronicle of Nature - Phenology of Insects of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Insects Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 3110 records collected during 60 years between 1947 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466900
title: Chronicle of Nature - Phenology of Insects of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Insects Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 3110 records collected during 60 years between 1947 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.7910/dvn/ukcevo/nwtowo
title: maize_leafstripping.xls

description: :unav
DOI: 10.5281/zenodo.3466901
title: Chronicle of Nature - Phenology of Arachnids of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Arachnids Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 457 records collected during 54 years between 1957 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466902
title: Chronicle of Nature - Phenology of Arachnids of Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov

description: Arachnids Phenology dataset compiled in the context of Chronicle of Nature program in Sikhote-Alin State Nature Biosphere Reserve Named After K. G. Abramov (Russian Federation) consisting of 457 records collected during 54 years between 1957 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466903
title: Chronicle of Nature - Phenology of Plants of State Nature Reserve Stolby

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in State Nature Reserve Stolby (Russian Federation) consisting of 12370 records collected during 64 years between 1946 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466904
title: Chronicle of Nature - Phenology of Plants of State Nature Reserve Stolby

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in State Nature Reserve Stolby (Russian Federation) consisting of 12370 records collected during 64 years between 1946 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.6073/pasta/2fa78c459b4260775d21d1a492046f98
title: GIS10: GIS Coverage Defining Roads in and around Konza Prairie (1977-present)

description: This dataset defines the roads in and around the Konza Prairie Biological Station (KPBS). The road data shows locations of Konza maintained and county/state/federal access roads as well as defining gravel or paved.These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz), and associated EML metadata (.xml).
DOI: 10.7910/dvn/byfj3z/6aurfd
title: WiRe Dataset, v1.xls

description: Corrected data, fixing several minor coding errors since original publication.
DOI: 10.25345/c5j08h
title: MassIVE MSV000084396 - Three marine cyanobacteria stromatolite cultures
title: Cyanobacterial cultures obtained from stromatolites
DOI: 10.25606/surf.578c6039-8150e03f
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-756)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 756 of the 2048³ resolution collection.
DOI: 10.5281/zenodo.3467386
title: Festival of Frequency Measurement 1 October 2019

description: Event: Festival of Frequency Measurement UTC date: 1 october 2019 Beacon frequency: 5.0 MHz McMahan, Tom K1FR Latitude: 41.83 Longitude: -77.10 Start time of .CSV file: 0:00:04 Station description: Long wire antenna FlexRadio 6700 Freq ref - GPSDO Freq measurement type - fldigi
DOI: 10.5281/zenodo.3467387
title: Festival of Frequency Measurement 1 October 2019

description: Event: Festival of Frequency Measurement UTC date: 1 october 2019 Beacon frequency: 5.0 MHz McMahan, Tom K1FR Latitude: 41.83 Longitude: -77.10 Start time of .CSV file: 0:00:04 Station description: Long wire antenna FlexRadio 6700 Freq ref - GPSDO Freq measurement type - fldigi
DOI: 10.6073/pasta/0141178e371768cab7442701ff9f5c90
title: GIS05 GIS Coverages Defining Konza Prairie Burn History (1977-present)

description: This dataset contains a comprehensive record of burn histories for the Konza Prairie Biological Station (KPBS) dating from 1972 to 2018. Burn history data contains date burned, area burned and type of treatment (prescribed burns, complete and partial burns, and wildfires).These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz), and associated EML metadata (.xml).
DOI: 10.25606/surf.578c6039-66a4d156
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-563)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 563 of the 2048³ resolution collection.
DOI: 10.7910/dvn/qwlggn/0lighe
title: party_xwalk.tab

description: :unav
DOI: 10.7910/dvn/qwlggn/0xjjey
title: DatasetBuilder_SOEP.do

description: :unav
DOI: 10.7910/dvn/qwlggn/70ywho
title: Analysis_EB_Macro.do

description: :unav
DOI: 10.7910/dvn/qwlggn/i8kips
title: DatasetBuilder_EB_Micro.do

description: :unav
DOI: 10.7910/dvn/qwlggn/jqnej7
title: results.smcl

description: :unav
DOI: 10.7910/dvn/qwlggn/lg6zgg
title: Analysis_EB_Micro.do

description: :unav
DOI: 10.7910/dvn/qwlggn/ncdd53
title: parlgov_stable.xlsx

description: :unav
DOI: 10.7910/dvn/qwlggn/pkx1jo
title: economic_data.tab

description: :unav
DOI: 10.7910/dvn/qwlggn/sxt1jh
title: gallagher_data.tab

description: :unav
DOI: 10.17632/frb4543dyy.1
title: Lorenz number calculator (SPB model)

description: This spreadsheet allows quick calculation of the Lorenz number from Seebeck coefficient using fermi integrals and fitting of reduced Fermi energy (assuming single parabolic band model). After entering the Seebeck coefficient values this spreadsheet will automatically calculate the Lorenz number. Spreadsheet is divided into 5 parts: Step 1, Step 2, ... Step 5 so one can observe how applied methodology works in detail. Step 1 - Fermi integral values obtained from widely available tables were put into graphs and polynomials were fitted. Step 2 - Information about the assumed value of the scattering parameter. Step 3 - The relation between the Seebeck coefficient and the reduced Fermi energy was calculated, the result was put into the graph and polynomial was fitted. Step 4 - Experimental values of the Seebeck coefficient for a given temperature should be copied here (orange background). Please note that using this methodology calculated Lorenz number will be larger than 2.45·10^(-8) (V/K)^2 if the absolute value of Seebeck coefficient will be smaller than ~57 microV/K. Step 5 - Lorenz number is calculated (red background). The result is accurate for materials with scattering parameter r = -1/2 (for acoustic phonon scattering) and if the band could be described by single parabolic band model.
DOI: 10.5281/zenodo.3466923
title: Phenological Center - Plants

description: Plants Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 24905 records collected for ** years between 1890 and 1999.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466924
title: Phenological Center - Plants

description: Plants Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 24905 records collected for ** years between 1890 and 1999.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.7910/dvn/qwlggn/7oyb1z
title: Cleaner_swb.do

description: :unav
DOI: 10.7910/dvn/qwlggn/8inl0l
title: DatasetBuilder_EB_Macro.do

description: :unav
DOI: 10.7910/dvn/qwlggn/g5f3hg
title: nearmrgstable.ado

description: :unav
DOI: 10.7910/dvn/qwlggn/jotwqh
title: Cleaner_votingdata.do

description: :unav
DOI: 10.7910/dvn/qwlggn/ljmeur
title: Analysis_Panels.do

description: :unav
DOI: 10.7910/dvn/qwlggn/qymlzy
title: Master.do

description: :unav
DOI: 10.7910/dvn/qwlggn/tpvte4
title: DatasetBuilder_BHPS.do

description: :unav
DOI: 10.7910/dvn/qwlggn/z8d4j0
title: README.pdf

description: :unav
DOI: 10.21227/3mrb-y658
title: MEx - Multi-modal Exercise Dataset

description: Multi-modal Exercises Dataset is a multi- sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms. Collection of this dataset was inspired by the need for recognising and evaluating quality of exercise performance to support patients with Musculoskeletal Disorders(MSD).The MEx Dataset contains data from 25 people recorded with four sensors, 2 accelerometers, a pressure mat and a depth camera. Seven different exercises that are highly recommended by physiotherapists for patients with low-back pain were selected for this data collection. Two accelerometers were placed on the wrist and the thigh of the person and they performed exercises on the pressure mat while being recorded by a depth camera from top. One person performed one exercise for maximum 60 seconds. The dataset contains three data modalities; numerical time-series data, video data and pressure sensor data posing interesting research challenges when reasoning for HAR and Exercise Quality Assessment. With the recent advancement in multi-modal fusion, we also believe MEx is instrumental in benchmarking not only HAR algorithms, but also fusion algorithms of heterogeneous data types in multiple application domains.
DOI: 10.25606/surf.578c6039-982daa3c
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-627)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 627 of the 2048³ resolution collection.
DOI: 10.5281/zenodo.3466925
title: Phenological Center - Birds

description: Birds Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 13180 records collected for 78 years between 1922 and 1999.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466926
title: Phenological Center - Birds

description: Birds Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 13180 records collected for 78 years between 1922 and 1999.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466929
title: Phenological Center - Plants (Arkhangelsk)

description: Plants Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 7395 records collected for 64 years between 1939 and 2002.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466930
title: Phenological Center - Plants (Arkhangelsk)

description: Plants Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 7395 records collected for 64 years between 1939 and 2002.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466931
title: Chronicle of Nature - Phenology of Plants of State Nature Reserve Olekminsky

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in State Nature Reserve Olekminsky (Russian Federation) consisting of 3740 records collected during 27 years between 1990 and 2016.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.7910/dvn/qwlggn/xlvvgu
title: Dataverse Codebook.pdf

description: :unav
DOI: 10.5281/zenodo.3466932
title: Chronicle of Nature - Phenology of Plants of State Nature Reserve Olekminsky

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in State Nature Reserve Olekminsky (Russian Federation) consisting of 3740 records collected during 27 years between 1990 and 2016.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466933
title: Chronicle of Nature - Phenology of Birds of State Nature Reserve Kivach

description: Birds Phenology dataset compiled in the context of Chronicle of Nature program in State Nature Reserve Kivach (Russian Federation) consisting of 3675 records collected during 54 years between 1960 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466934
title: Chronicle of Nature - Phenology of Birds of State Nature Reserve Kivach

description: Birds Phenology dataset compiled in the context of Chronicle of Nature program in State Nature Reserve Kivach (Russian Federation) consisting of 3675 records collected during 54 years between 1960 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814