cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t959rnbj4b.2
title: Geochronological data for Santiago Island, Cape Verde

description: These data show the ages critical to the estimation of vertical displacements in Santiago Island, Cape Verde
DOI: 10.7910/dvn/45gxk5/enmz4p
title: word_vectors_200d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ie6r7f
title: word_vectors_200d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/jsjp9p
title: word_vectors_50d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/pi4yrn
title: word_vectors_50d_15x.rds

description: :unav
DOI: 10.5281/zenodo.630119
title: Flight swaths for 2014 ASRF LIDAR scans

description: <b>Description: </b>This dataset contains the coverage of the 2014 LIDAR swaths flown by the NERC Airborne Survey and Research Facility (ASRF) plane. <br><br>Further details of the dataset and processing can be found at https://www.safeproject.net/dokuwiki/safe_gis/bali_lidar.<b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>SAFE CORE DATA</b><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This dataset consists of 2 files: SAFE_ARSF_Lidar_flight_metadata.xlsx, ARSF_Lidar_swaths_UTM50N_WGS84.zip<b>SAFE_ARSF_Lidar_flight_metadata.xlsx</b>This file only contains metadata for the files below<b>ARSF_Lidar_swaths_UTM50N_WGS84.zip</b>Description: Contains a shapefiles of LIDAR flight swathsThis file contains 1 data tables:<b>Feature properties</b> (described in worksheet ARSF_Lidar_swaths)Description: Field descriptions for shapefile propertiesNumber of fields: 12Number of data rows: Unavailable (table metadata description only).Fields: <b>Name</b>: Swath name (Field type: id)<b>descriptio</b>: HTML description of swath including start position, time and end position (Field type: comments)<b>timestamp</b>: Date of flight - not populated (Field type: date)<b>begin</b>: Start time of swath - not populated (Field type: time)<b>end</b>: End time of swath - not populated (Field type: time)<b>altitudeMo</b>: Altitude mode - constant (Field type: categorical)<b>tessellate</b>: Unknown processing data (Field type: numeric)<b>extrude</b>: Unknown processing data (Field type: numeric)<b>visibility</b>: Unknown processing data (Field type: numeric)<b>drawOrder</b>: Unknown processing data (Field type: numeric)<b>icon</b>: Unknown processing data (Field type: numeric)<b>File</b>: Source KML file (see processing notes) (Field type: comments)<b>Date range: </b>2010-10-01 to 2019-10-01<b>Latitudinal extent: </b>4.5539 to 5.8662<b>Longitudinal extent: </b>116.9293 to 117.9851
DOI: 10.7910/dvn/45gxk5/h2fhoe
title: igoecon.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/n6jzfz
title: directcont_nw.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/piswmg
title: word_vectors_100d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/rkibjd
title: igosec.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/swfqol
title: word_vectors_100d_15x.rds

description: :unav
DOI: 10.17632/grwmknb5ww.1
title: Data for Annual litter production in a Brazilian Cerrado woodland savanna

description: Data on the amount of litter accumulated in 10 litter-traps monitored in an area coved by a dense woodland savanna (cerrado denso physiognomy) for over a year.
DOI: 10.7910/dvn/45gxk5/8nxgpt
title: mid.nw_full.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/dbqgjv
title: capratio.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ghskkp
title: igosec_full.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/h4g7qa
title: igoecon_full.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/mvjwmw
title: tradedep_full.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ptwn4c
title: tradedep.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/qksd7j
title: directcont.nw_full.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/zjefo7
title: mid_nw.rds

description: :unav
DOI: 10.17632/2nmnjx66w7.1
title: Imaging the effect of the circadian light-dark cycle on the glymphatic system in awake rats

description: The glymphatic system functions in the removal of potentially harmful metabolites and proteins from the brain. Dynamic, contrast-enhanced magnetic resonance imaging was used in fully awake rats to follow clearance entrained to the light-dark cycle and its relationship to the sleep-waking cycle, blood flow and brain temperature in specific brain areas. Brain areas involved in circadian timing and sleep-wake rhythms showed high clearance or low accumulation of contrast agent during the light phase or time of inactivity and sleep in rats. Global brain clearance was heterogeneous. Clearance was lowest along the dorsal cerebrum and highest in the midbrain/pons and along the ventral surface of the brain. This heterogenous distribution of clearance paralleled the gradients and regional variations in brain temperatures reported in the literature for awake animals. 3D Quantitative Ultra-Short Time-to-Echo Contrast Enhanced imaging was used to reconstruct small, medium, and large arteries and veins in the rat brain and revealed areas of highest clearance overlapped with this macrovasculature. This study raises new questions and theoretical considerations on the impact of the light-dark cycle, brain temperature and blood flow on the function of the glymphatic system.
DOI: 10.7910/dvn/45gxk5/cbtcy5
title: mid_sub_s_weaknodes_prop0.25.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/dkwok3
title: tradedep_sub_s_masternodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/gbh3wa
title: capratio_sub_s_masternodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/grynbb
title: capratio_sub_s_weaknodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ll6pih
title: mid_sub_s_weaknodes_prop0.3.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/mlyjyu
title: directcont_sub_s_masternodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/mozgd5
title: mid_sub_s_weaknodes_prop0.2.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/mszcig
title: igoecon_sub_s_masternodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ppgc7m
title: capratio_full.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/xbkhab
title: igosec_sub_s_masternodes.rds

description: :unav
DOI: 10.5281/zenodo.3491993
title: Dataset _ Bombus pauloensis telemetry: Spatio-temporal use of the environment and floral resources.

description: These data includes the GPS points collected from the tracked bees (<em>Bombus pauloensis</em> queens) that were used in the analysis of the home ranges and kernal density, data were usesd in the the MCP and the LUC analysis and pollen collected from the queens.
DOI: 10.5281/zenodo.3491994
title: Dataset _ Bombus pauloensis telemetry: Spatio-temporal use of the environment and floral resources.

description: These data includes the GPS points collected from the tracked bees (<em>Bombus pauloensis</em> queens) that were used in the analysis of the home ranges and kernal density, data were usesd in the the MCP and the LUC analysis and pollen collected from the queens.
DOI: 10.5281/zenodo.3492148
title: Flight swaths for 2014 ASRF LIDAR scans

description: <b>Description: </b>This dataset contains the coverage of the 2014 LIDAR swaths flown by the NERC Airborne Survey and Research Facility (ASRF) plane. <br><br>Further details of the dataset and processing can be found at https://www.safeproject.net/dokuwiki/safe_gis/bali_lidar.<b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>SAFE CORE DATA</b><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This dataset consists of 2 files: SAFE_ARSF_Lidar_flight_metadata.xlsx, ARSF_Lidar_swaths_UTM50N_WGS84.zip<b>SAFE_ARSF_Lidar_flight_metadata.xlsx</b>This file only contains metadata for the files below<b>ARSF_Lidar_swaths_UTM50N_WGS84.zip</b>Description: Contains a shapefiles of LIDAR flight swathsThis file contains 1 data tables:<b>Feature properties</b> (described in worksheet ARSF_Lidar_swaths)Description: Field descriptions for shapefile propertiesNumber of fields: 12Number of data rows: Unavailable (table metadata description only).Fields: <b>Name</b>: Swath name (Field type: id)<b>descriptio</b>: HTML description of swath including start position, time and end position (Field type: comments)<b>timestamp</b>: Date of flight - not populated (Field type: date)<b>begin</b>: Start time of swath - not populated (Field type: time)<b>end</b>: End time of swath - not populated (Field type: time)<b>altitudeMo</b>: Altitude mode - constant (Field type: categorical)<b>tessellate</b>: Unknown processing data (Field type: numeric)<b>extrude</b>: Unknown processing data (Field type: numeric)<b>visibility</b>: Unknown processing data (Field type: numeric)<b>drawOrder</b>: Unknown processing data (Field type: numeric)<b>icon</b>: Unknown processing data (Field type: numeric)<b>File</b>: Source KML file (see processing notes) (Field type: comments)<b>Date range: </b>2010-10-01 to 2019-10-01<b>Latitudinal extent: </b>4.5539 to 5.8662<b>Longitudinal extent: </b>116.9293 to 117.9851
DOI: 10.5281/zenodo.629942
title: Core SAFE Sampling locations

description: <b>Description: </b>This zipfile contains a shapefile showing point locations of the core sampling points used across the SAFE landscape. Many other locations have been sampled, but this file contains the points originally identified to provide a fractal sampling design across the landscape degradation gradient. <br><br>Further details of the dataset and processing can be found at https://www.safeproject.net/dokuwiki/safe_gis/safe_fractal and for details of the project design, see the project description: https://doi.org/10.1098/rstb.2011.0049.<b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>SAFE CORE DATA</b><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This dataset consists of 2 files: SAFE_Core_sampling_locations.xlsx, SAFE_core_sampling_stations_UTM50N_WGS84.zip<b>SAFE_Core_sampling_locations.xlsx</b>This file only contains metadata for the files below<b>SAFE_core_sampling_stations_UTM50N_WGS84.zip</b>Description: Contains a point shapefile of core SAFE sampling stationsThis file contains 1 data tables:<b>Feature properties</b> (described in worksheet SAFE_core_sampling_stations)Description: Field descriptions for shapefile propertiesNumber of fields: 12Number of data rows: Unavailable (table metadata description only).Fields: <b>GPS_Ident</b>: GPS handset identity of point (Field type: id)<b>Altitude</b>: GPS estimated altitude (all NA) (Field type: numeric)<b>Date</b>: GPS timestamp (all NA) (Field type: date)<b>Time</b>: GPS timestamp (all NA) (Field type: time)<b>Project</b>: Project name for sample point (Field type: categorical)<b>Site</b>: Site name of sampling point (Field type: categorical)<b>Station</b>: Sampling station ID number (Field type: id)<b>Habitat_11</b>: Habitat type in 2011 (Field type: categorical)<b>Logging_11</b>: Logging impact in 2011 (Field type: categorical)<b>Frag_Area</b>: Forest fragment area (0 = control or oil palm point not in fragment, -1 = urban) (Field type: numeric)<b>Fract_Ord</b>: Fractal order of the sampling point (Field type: numeric)<b>TransctOrd</b>: Position of point on transects (Field type: numeric)<b>Date range: </b>2010-10-01 to 2019-10-01<b>Latitudinal extent: </b>4.6350 to 4.7716<b>Longitudinal extent: </b>116.9474 to 117.7031
DOI: 10.7910/dvn/45gxk5/2tzazh
title: directcont_sub_s_weaknodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ocl9kv
title: tradedep_sub_s_weaknodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/omtbnz
title: igoecon_sub_s_weaknodes.rds

description: :unav
DOI: 10.25919/5da7544d6f897
title: Parkes observations for project P982 semester 2018OCTS_08

description: We propose observations with the ultra-wide-bandwidth, low frequency receiver installed at the Parkes telescope to carry out the first coherently de-dispersed search for new pulsars in Southern globular clusters. We have chosen the three most likely clusters for new discoveries. We propose to observe each cluster from rise-to-set and will process the resulting data to study the known pulsars (allowing us, for the first time, to study the wide-band properties of their signal), whilst also looking for currently unknown pulsars. We note that the first black-hole--pulsar binary system is likely to be found in a globular cluster environment.
DOI: 10.5281/zenodo.3486865
title: Global monthly percentage of vegetation cover (MODIS FCover MODV1A product: America, Pacific)

description: Monthly Global FCover product generated from MODIS data. Dataset represent monthly gap-filled FCover estimates the period 2000-2015 over Pacific and America. FCover was estimated using linear spectral mixture analysis and interpolated using empirical orthogonal functions algorithm to take advantage of all non-missing available pixels in both the spatial and temporal dimensions to gap-fill missing satellite observations. The global product of vegetation cover (as percentage of cover) based on MODIS images with monthly variation can be used as a critical support for several indicators related to ecologically based modelling.
description: The H2020 Ecopotential project GA 641762 "Improving future ecosystem benefits through earth observations" is gratefully acknowledged.
description: {"references": ["Filipponi, F., Valentini, E., Nguyen Xuan, A., Guerra, C., Wolf, F., Andrzejak, M., & Taramelli, A. (2018). Global MODIS Fraction of Green Vegetation Cover for Monitoring Abrupt and Gradual Vegetation Changes. Remote Sensing, 10(4), 653."]}
DOI: 10.5281/zenodo.3486866
title: Global monthly percentage of vegetation cover (MODIS FCover MODV1A product: America, Pacific)

description: Monthly Global FCover product generated from MODIS data. Dataset represent monthly gap-filled FCover estimates the period 2000-2015 over Pacific and America. FCover was estimated using linear spectral mixture analysis and interpolated using empirical orthogonal functions algorithm to take advantage of all non-missing available pixels in both the spatial and temporal dimensions to gap-fill missing satellite observations. The global product of vegetation cover (as percentage of cover) based on MODIS images with monthly variation can be used as a critical support for several indicators related to ecologically based modelling.
description: The H2020 Ecopotential project GA 641762 "Improving future ecosystem benefits through earth observations" is gratefully acknowledged.
description: {"references": ["Filipponi, F., Valentini, E., Nguyen Xuan, A., Guerra, C., Wolf, F., Andrzejak, M., & Taramelli, A. (2018). Global MODIS Fraction of Green Vegetation Cover for Monitoring Abrupt and Gradual Vegetation Changes. Remote Sensing, 10(4), 653."]}
DOI: 10.5281/zenodo.3490411
title: Global monthly percentage of vegetation cover (MODIS FCover MODV1B product: Eurasia, Africa, Oceania)

description: Monthly Global FCover product generated from MODIS data. Dataset represent monthly gap-filled FCover estimates the period 2000-2015 over Eurasia, Africa and Oceania. FCover was estimated using linear spectral mixture analysis and interpolated using empirical orthogonal functions algorithm to take advantage of all non-missing available pixels in both the spatial and temporal dimensions to gap-fill missing satellite observations. The global product of vegetation cover (as percentage of cover) based on MODIS images with monthly variation can be used as a critical support for several indicators related to ecologically based modelling.
description: The H2020 Ecopotential project GA 641762 "Improving future ecosystem benefits through earth observations" is gratefully acknowledged.
description: {"references": ["Filipponi, F., Valentini, E., Nguyen Xuan, A., Guerra, C., Wolf, F., Andrzejak, M., & Taramelli, A. (2018). Global MODIS Fraction of Green Vegetation Cover for Monitoring Abrupt and Gradual Vegetation Changes. Remote Sensing, 10(4), 653."]}
DOI: 10.5281/zenodo.3490412
title: Global monthly percentage of vegetation cover (MODIS FCover MODV1B product: Eurasia, Africa, Oceania)

description: Monthly Global FCover product generated from MODIS data. Dataset represent monthly gap-filled FCover estimates the period 2000-2015 over Eurasia, Africa and Oceania. FCover was estimated using linear spectral mixture analysis and interpolated using empirical orthogonal functions algorithm to take advantage of all non-missing available pixels in both the spatial and temporal dimensions to gap-fill missing satellite observations. The global product of vegetation cover (as percentage of cover) based on MODIS images with monthly variation can be used as a critical support for several indicators related to ecologically based modelling.
description: The H2020 Ecopotential project GA 641762 "Improving future ecosystem benefits through earth observations" is gratefully acknowledged.
description: {"references": ["Filipponi, F., Valentini, E., Nguyen Xuan, A., Guerra, C., Wolf, F., Andrzejak, M., & Taramelli, A. (2018). Global MODIS Fraction of Green Vegetation Cover for Monitoring Abrupt and Gradual Vegetation Changes. Remote Sensing, 10(4), 653."]}
DOI: 10.7910/dvn/45gxk5/20vyft
title: mid_sub_w_50d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/cafan2
title: mid_sub_w_100d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/cvph1i
title: mid_sub_w_200d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/hajjzt
title: igosec_sub_s_weaknodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/mc9zxk
title: mid_sub_w_100d_15x.rds

description: :unav
DOI: 10.25919/5da754ae98063
title: Parkes observations for project P963 semester 2018APRS_02

description: Key questions about the radio emission from pulsar magnetospheres remain unanswered. These include the height of the radio emission above the surface, and the variations of height across the emitting field lines and as a function of frequency, and the overall filling factor of the pulsar beam. These questions are complicated by the unknown viewing geometry, which is mostly determined by the inclination angle between the rotation and magnetic axes (alpha) for the majority of pulsars. Here, we propose to investigate interpulse pulsars where we know that alpha is close to 90 degrees. We will use the ultra-wide band receiver to make sensitive observations across a continuous frequency range from 0.7 to 4.0~GHz. This will allow us, for the first time, to answer the questions posed above.
DOI: 10.7910/dvn/45gxk5/6cm9qg
title: igoecon_sub_w.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/7i3aq7
title: sci_masternodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/actal9
title: capratio_sub_w.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ar8yps
title: mid_sub_w_200d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/bxa8uo
title: igosec_sub_w.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/rqxupo
title: mid_sub_w_50d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/tvqmqx
title: tradedep_sub_w.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/x4kp3z
title: directcont_sub_w.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/gezhly
title: fish_masternodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/iecb4h
title: mil_weaknodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/kdboux
title: telco_masternodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/lzpryc
title: fish_weaknodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/opsb34
title: com_weaknodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/pv3xfx
title: mil_masternodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/tkozzn
title: sci_weaknodes.rds

description: :unav
DOI: 10.7910/dvn/aptj1p/9isute
title: AIIMS safe harbour.tab

description: RawdataAIIMS
DOI: 10.7910/dvn/aptj1p/vnuzwi
title: Gandhi safe harbour.tab

description: RawdataGandhiHospital
DOI: 10.7910/dvn/45gxk5/39zmdl
title: plot_vo_cands.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/fvybme
title: com_masternodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ko907v
title: sp_cands_200d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/pds9gr
title: sp_cands_200d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/q1rkgj
title: telco_weaknodes.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/xufffp
title: vo_cands.rds

description: :unav
DOI: 10.3886/e109167v3
title: Cora Dataset

description: The Cora data contains bibliographic records of machine learning papers that have been manually clustered into groups that refer to the same publication. Originally, Cora was prepared by Andrew McCallum, and his versions of this data set are available on his Data web page. The data is also hosted here. Note that various versions of the Cora data set have been used by many publications in record linkage and entity resolution over the years.
DOI: 10.7910/dvn/45gxk5/6y554n
title: sp_cands_100d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/bi0f3z
title: strong_ties_weaknodes_prop0.3.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/jxnjwt
title: strong_ties_weaknodes_prop0.2.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/lwpyyv
title: strong_ties_masternodes_prop0.25.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/nl34xz
title: sp_cands_50d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/o8vqiy
title: sp_cands_100d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ys673w
title: sp_cands_50d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/zpdpzu
title: strong_ties_weaknodes_prop0.25.rds

description: :unav
DOI: 10.3886/e109167
title: Cora Dataset

description: The Cora data contains bibliographic records of machine learning papers that have been manually clustered into groups that refer to the same publication. Originally, Cora was prepared by Andrew McCallum, and his versions of this data set are available on his Data web page. The data is also hosted here. Note that various versions of the Cora data set have been used by many publications in record linkage and entity resolution over the years.
DOI: 10.7910/dvn/45gxk5/bqtsfr
title: weak_ties_200d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/e9efif
title: strong_membs_masternodes_prop0.3.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ha2gca
title: strong_membs_weaknodes_prop0.2.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/jujlx7
title: strong_ties_masternodes_prop0.3.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/prglm5
title: strong_membs_masternodes_prop0.25.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/tzu2sw
title: strong_membs_weaknodes_prop0.25.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/xzqnkw
title: strong_membs_weaknodes_prop0.3.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ywxali
title: strong_ties_masternodes_prop0.2.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/zvtz1p
title: strong_membs_masternodes_prop0.2.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/3ewudl
title: weak_membs_50d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/9wwwvg
title: weak_membs_100d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ecbjjg
title: weak_membs_100d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/iltfwh
title: weak_membs_200d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/lr3rhp
title: weak_ties_50d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/prebhs
title: weak_ties_50d_15x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/w0hrtd
title: weak_membs_50d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/ytfzsn
title: weak_ties_200d_25x.rds

description: :unav
DOI: 10.7910/dvn/45gxk5/yy7glj
title: weak_ties_100d_25x.rds

description: :unav