cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.x4k867
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pittosporum brevispinum Veillon & Tirel)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086611-240626123714530/datasets/export for details.
DOI: 10.15468/dl.2u9ud3
title: Occurrence Download

description: A dataset containing 13651 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salix lasiolepis Benth."
 ]
}

 The dataset includes 13651 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086612-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cbsuv
title: Occurrence Download

description: A dataset containing 11717 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Ammophila sabulosa (Linnaeus, 1758)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 11717 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086613-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wr6p7s
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Sitophilus granarius (C.Linnaeus, 1758)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 240 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086615-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68nc9x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pittosporum gatopense Guillaumin)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086616-240626123714530/datasets/export for details.
DOI: 10.15468/dl.pbbngt
title: Occurrence Download

description: A dataset containing 3466 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Ammophila pubescens Curtis, 1836",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3466 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086618-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm7ta7
title: Occurrence Download

description: A dataset containing 21112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schinus molle L."
 ]
}

 The dataset includes 21112 records from 449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086617-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7egbke
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Sitophilus granarius (C.Linnaeus, 1758)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 240 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086619-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzmn89
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Delonix tomentosa (R.Vig.) Capuron)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086620-240626123714530/datasets/export for details.
DOI: 10.15468/dl.af8sea
title: Occurrence Download

description: A dataset containing 79872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Selaginellales)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 79872 records from 415 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086614-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24032061.v2
title: Ahn (2023) [ Table 2&3 ]

description: Table 2 & 3 in the manuscript
DOI: 10.6084/m9.figshare.24047613
title: Global CES in PAs

description: Dataset for peer review
DOI: 10.57745/bicauj
title: 250_GSNmap_mean_ph_0_30.tif

description: Map of mean of pH at 250 m resolution
DOI: 10.57745/qxbyt4
title: 250_GSNmap_mean_p_0_30.tif

description: Map of mean of phophorus at 250 m resolution
DOI: 10.57745/op5yml
title: 250_GSNmap_mean_sand_0_30.tif

description: Map of mean of Sand at 250 m resolution
DOI: 10.57745/vbcjzb
title: 250_GSNmap_mean_cec_0_30.tif

description: Map of mean of CEC at 250 m resolution
DOI: 10.57745/xdxnsz
title: 250_GSNmap_mean_k_0_30.tif

description: Map of mean of K (available potassium) at 250 m resolution
DOI: 10.57745/2wnbqx
title: 250_GSNmap_mean_soc_0_30.tif

description: Map of mean of Soil organic carbon at 250 m resolution
DOI: 10.57745/daqzwt
title: 250_GSNmap_mean_silt_0_30.tif

description: Map of mean of Silt at 250 m resolution
DOI: 10.57745/spe79j
title: 250_GSNmap_mean_clay_0_30.tif

description: Map of mean of clay at 250 m resolution
DOI: 10.57745/swxifk
title: 250_GSNmap_mean_n_0_30.tif

description: Map of mean of Nitrogen at 250 m resolution
DOI: 10.57745/ohodca
title: 250_GSNmap_mean_bd_0_30.tif

description: Map of mean of bulk density at 250 m resolution
DOI: 10.57745/ba0s27
title: 250_GSNmap_sd_p_0_30.tif

description: standard deviation of the predictions of the phosphorous content
DOI: 10.57745/xrkkq2
title: 250_GSNmap_sd_bd_0_30.tif

description: standard deviation of the predictions of the bulk density
DOI: 10.57745/abwha4
title: 250_GSNmap_sd_n_0_30.tif

description: standard deviation of the nitrogen content
DOI: 10.57745/bsnwcg
title: 250_GSNmap_sd_cec_0_30.tif

description: standard deviation of the predictions of the cations exchange capacity
DOI: 10.57745/omhqeo
title: 250_GSNmap_sd_clay_0_30.tif

description: standard deviation of the predictions of the clay content
DOI: 10.57745/n1q4wy
title: 250_GSNmap_sd_k_0_30.tif

description: standard deviation of the predictions of the available potassium content
DOI: 10.57745/oulxjm
title: 250_GSNmap_sd_sand_0_30.tif

description: standard deviation of the predictions of the sand content
DOI: 10.57745/pcrosv
title: 250_GSNmap_sd_soc_0_30.tif

description: standard deviation of the predictions of the organic carbon
DOI: 10.57745/zj29wu
title: 250_GSNmap_sd_silt_0_30.tif

description: standard deviation of the predictions of the silt content
DOI: 10.57745/0baw1t
title: 250_GSNmap_sd_ph_0_30.tif

description: standard deviation of the predictions of the ph
DOI: 10.34808/2shm-9s85
title: Source code - AI models (MLM1-5 - series I-III - QNM opt)

description: Source code - AI models (MLM1-5 - series I-III - QNM opt) for the paper "Computational Complexity and Its Influence on Concrete Compressive Strength Prediction Capabilities of Machine Learning Models for Concrete Mix Design Support" accepted for publication.
DOI: 10.57770/pvmmsx
title: Computational Thinking

description: Computational Thinking
DOI: 10.5281/zenodo.8275606
title: ELITE land surface temperature: Landsat8 LST over CONUS (2014.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 8 in July 2014. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 8 in January 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2014.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275605
title: ELITE land surface temperature: Landsat8 LST over CONUS (2014.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 8 in July 2014. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 8 in January 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2014.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275603
title: ELITE land surface temperature: Landsat LST over CONUS (2014.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 8 in January 2014. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 8 in July 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2014.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275604
title: ELITE land surface temperature: Landsat LST over CONUS (2014.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 8 in January 2014. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 8 in July 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: Continental United States Temporal Coverage: 2014.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.25625/y9diop/1hjd4z
title: All_data_results.mat

description: Matlab file contains results for areas and forces measured for different thrombin and fibrinogen concentrations
DOI: 10.25625/y9diop/mh3lax
title: Boundaries.tif

description: boundary of the cell
DOI: 10.25625/y9diop/phrvvt
title: Threshold.tif

description: image after threshold
DOI: 10.25625/y9diop/co7ubl
title: cell.tif

description: cell before drift correction
DOI: 10.25625/y9diop/jhs0fl
title: beads.tif

description: contracting beads
DOI: 10.25625/y9diop/bvjzmj
title: DriftedCell.tif

description: Cell corrected for drift
DOI: 10.25625/y9diop/wccul2
title: Force.fig

description: :unav
DOI: 10.25625/y9diop/iyp4sk
title: Exp_X_10_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/momnig
title: gel2.obf - Overview 1-Image 15-STAR 580 STED.tif

description: :unav
DOI: 10.25625/y9diop/cabsq1
title: gel2.obf - Overview 1-Image 21-STAR 580 STED.tif

description: :unav
DOI: 10.25625/y9diop/vnjpsv
title: Exp_X_16_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/mlqoyp
title: Exp_X_09_TFM_BW.tif

description: :unav
DOI: 10.25625/y9diop/0oztfa
title: Exp_X_18_Actin.tif

description: :unav
DOI: 10.25625/y9diop/lyawwq
title: Exp_X_18_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/op2hqv
title: Exp_X_24_Actin.tif

description: :unav
DOI: 10.25625/y9diop/q0ossy
title: gel2.obf - Overview 1-Image 9-SiR STED.tif

description: :unav
DOI: 10.25625/y9diop/v4cjbi
title: Exp_X_16_Actin.tif

description: :unav
DOI: 10.25625/y9diop/1bmsze
title: gel2.obf - Overview 1-Image 18-SiR STED.tif

description: :unav
DOI: 10.25625/y9diop/625ac2
title: Exp_X_24_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/ztoxnj
title: gel2.obf - Overview 1-Image 15-STAR 580.tif

description: :unav
DOI: 10.25625/y9diop/31vzkx
title: TFM_force.fig

description: :unav
DOI: 10.25625/y9diop/3ecrct
title: Exp_X_10_Actin.tif

description: :unav
DOI: 10.25625/y9diop/wticyo
title: Exp_X_05_TFM_BW.tif

description: :unav
DOI: 10.25625/y9diop/4qqybh
title: Exp_X_27_TFM_BF.tif

description: :unav
DOI: 10.25625/y9diop/ldpoie
title: gel2.obf - Overview 1-Image 16-SiR.tif

description: :unav
DOI: 10.25625/y9diop/cf75rc
title: Exp_X_26_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/qajqzo
title: gel2.obf - Overview 1-Image 9-STAR 580 STED.tif

description: :unav
DOI: 10.25625/y9diop/7hzpav
title: force.fig

description: :unav
DOI: 10.25625/y9diop/kwfx1f
title: Exp_X_17_TFM_BW.tif

description: :unav
DOI: 10.25625/y9diop/tuihek
title: Exp_X_19_TFM_BF.tif

description: :unav
DOI: 10.25625/y9diop/z6mkob
title: Exp_X_12_Actin.tif

description: :unav
DOI: 10.25625/y9diop/sa9eix
title: Exp_X_03_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/rvq62h
title: Exp_X_11_TFM_BW.tif

description: :unav
DOI: 10.25625/y9diop/tpcicd
title: force.fig

description: :unav
DOI: 10.25625/y9diop/qbo4uz
title: gel2.obf - Overview 1-Image 9-SiR STED_centered_flip.tif

description: :unav
DOI: 10.25625/y9diop/ddbma3
title: gel2.obf - Overview 1-Image 18-STAR 580.tif

description: :unav
DOI: 10.25625/y9diop/0afuyw
title: gel2.obf - Overview 1-Image 8-SiR.tif

description: :unav
DOI: 10.25625/y9diop/s0qzju
title: Exp_X_08_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/7tse6s
title: Exp_X_09_Actin.tif

description: :unav
DOI: 10.25625/y9diop/liavvb
title: gel2.obf - Overview 1-Image 9-SiR.tif

description: :unav
DOI: 10.25625/y9diop/utjorn
title: gel2.obf - Overview 1-Image 21-SiR STED.tif

description: :unav
DOI: 10.25625/y9diop/dweh2y
title: Exp_X_06_Actin.tif

description: :unav
DOI: 10.25625/y9diop/quvpvv
title: gel2.obf - Overview 1-Image 4-SiR STED.tif

description: :unav
DOI: 10.25625/y9diop/twpudw
title: gel2.obf - Overview 1-Image 8-SiR STED.tif

description: :unav
DOI: 10.25625/y9diop/vkyagn
title: Exp_X_25_TFM_BF.tif

description: :unav
DOI: 10.25625/y9diop/9mxr5i
title: gel2.obf - Overview 1-Image 1-SiR STED.tif

description: :unav
DOI: 10.25625/y9diop/3bsmnr
title: beads.tif

description: :unav
DOI: 10.25625/y9diop/3eocvd
title: beads.tif

description: :unav
DOI: 10.25625/y9diop/muuizi
title: gel2.obf - Overview 1-Image 8-STAR 580 STED.tif

description: :unav
DOI: 10.25625/y9diop/t58re4
title: Exp_X_06_Vinculin.tif

description: :unav
DOI: 10.25625/y9diop/7x58e3
title: gel2.obf - Overview 1-Image 2-STAR 580 STED.tif

description: :unav
DOI: 10.25625/y9diop/m50h5m
title: gel2.obf - Overview 1-Image 4-STAR 580.tif

description: :unav
DOI: 10.25625/y9diop/4swwci
title: beads.tif

description: :unav
DOI: 10.25625/y9diop/yyg34c
title: beads.tif

description: :unav
DOI: 10.25625/y9diop/qx9tvp
title: gel2.obf - Overview 1-Image 20-STAR 580.tif

description: :unav
DOI: 10.25625/y9diop/qy8xqb
title: gel2.obf - Overview 1-Image 2-SiR STED.tif

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DOI: 10.25625/y9diop/2lkmta
title: gel2.obf - Overview 1-Image 1-STAR 580 STED.tif

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DOI: 10.25625/y9diop/m8hwzj
title: gel2.obf - Overview 1-Image 15-SiR STED.tif

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DOI: 10.25625/y9diop/d6yksh
title: gel2.obf - Overview 1-Image 9-STAR 580.tif

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