cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.szm3c3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-114.96 36.44975, -114.9599 36.45029, -114.9602 36.4503, -114.9603 36.44972, -114.96 36.44975))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012467-251120083545085/datasets/export for details.
DOI: 10.15468/dl.jfk95j
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ipomoea fistulosa"
 ]
}

 The dataset includes 49 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012466-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trgmtj
title: Occurrence Download

description: A dataset containing 313556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 49.085278",
 "DecimalLatitude is less than or equal to 54.085278",
 "DecimalLongitude is greater than or equal to -115.0",
 "DecimalLongitude is less than or equal to -110.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 313556 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012422-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zd2rkp
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Algeria",
 "OccurrenceStatus is Present",
 "TaxonKey is Glareola pratincola"
 ]
}

 The dataset includes 112 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012469-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aa9cgg
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ipomoea clavata"
 ]
}

 The dataset includes 128 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012471-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3fcrs
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.11195 17.98326,-96.85307 17.98326,-96.85307 18.99292,-98.11195 18.99292,-98.11195 17.98326))",
 "OccurrenceStatus is Present",
 "TaxonKey is Geomyidae"
 ]
}

 The dataset includes 218 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012470-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtrj4q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.5826 35.35462, -119.5844 35.35476, -119.5849 35.35427, -119.5854 35.35285, -119.5838 35.35264, -119.5826 35.35462))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012472-251120083545085/datasets/export for details.
DOI: 10.15468/dl.vf6r3c
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acer grosseri"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012473-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17735310
title: Inlists for the paper "Predictions on gravity mode pulsations of collisional blue straggler stars in globular clusters"

description: This folder contains the inlists and run_star_extras used for the paper 

"Predictions on gravity mode pulsations of collisional blue straggler

stars in globular clusters" by Lorenzo Briganti, Walter E. van Rossem,

Andrea Migli, Angela Bragaglia, and Massimiliano Matteuzzi. 

We used MESA r24.08.1 (Jermyn et al. 2023 and references therein).

 

The folder is structured as follows:

Files which are valid both for blue straggler stars (BSS) and single

stellar evolution (SSE) objects:



run_star_extras.f90 

history_columns.list

profile_columns.list

Grid_mmas.py: Python script to merge profiles using MMAS and save the initial composition in a format readable by MESA


Subfolders:



4. inlists_SSE : Example of inlist for a star with M = 1.05 M_sun and Z = 0.01 Z_sun



inlist : main inlist

inlist_a09 : results from the solar calibration

inlist_common: inlist used for all the SSE objects in the grid

inlist_project: inlist with command for this specific case



inlists_BSS: Example of inlist for a BSS with M1 = 0.61 M_sun, M2 = 0.51 M_sun, 

Mtot = 1.05 M_sun and Z = 0.01 Z_sun:



 mp0.610_ms0.510_rp0.00_Z0.010_mtot1.050.data:initial chemical composition from MMAS

 inlist_relax: main inlist for relaxation of the initial chemical composition

 inlist_project_relax :inlist for the relaxation phase of this specific case

 inlist_a09: results from the solar calibration (both for relaxation and evolution)

 inlist_common: inlist used for all the BSS objects in the grid (both for relaxation and evolution)

 inlist:main inlist for evolution after relaxation

 inlist_project: inlist for the evolution of this specific case
DOI: 10.5281/zenodo.17735309
title: Inlists for the paper "Predictions on gravity mode pulsations of collisional blue straggler stars in globular clusters"

description: This folder contains the inlists and run_star_extras used for the paper 

"Predictions on gravity mode pulsations of collisional blue straggler

stars in globular clusters" by Lorenzo Briganti, Walter E. van Rossem,

Andrea Migli, Angela Bragaglia, and Massimiliano Matteuzzi. 

We used MESA r24.08.1 (Jermyn et al. 2023 and references therein).

 

The folder is structured as follows:

Files which are valid both for blue straggler stars (BSS) and single

stellar evolution (SSE) objects:



run_star_extras.f90 

history_columns.list

profile_columns.list

Grid_mmas.py: Python script to merge profiles using MMAS and save the initial composition in a format readable by MESA


Subfolders:



4. inlists_SSE : Example of inlist for a star with M = 1.05 M_sun and Z = 0.01 Z_sun



inlist : main inlist

inlist_a09 : results from the solar calibration

inlist_common: inlist used for all the SSE objects in the grid

inlist_project: inlist with command for this specific case



inlists_BSS: Example of inlist for a BSS with M1 = 0.61 M_sun, M2 = 0.51 M_sun, 

Mtot = 1.05 M_sun and Z = 0.01 Z_sun:



 mp0.610_ms0.510_rp0.00_Z0.010_mtot1.050.data:initial chemical composition from MMAS

 inlist_relax: main inlist for relaxation of the initial chemical composition

 inlist_project_relax :inlist for the relaxation phase of this specific case

 inlist_a09: results from the solar calibration (both for relaxation and evolution)

 inlist_common: inlist used for all the BSS objects in the grid (both for relaxation and evolution)

 inlist:main inlist for evolution after relaxation

 inlist_project: inlist for the evolution of this specific case
DOI: 10.5281/zenodo.17352019
title: Glioma C6 dataset for cell segmentation

description: Training and test images of Glioma C6 cells imaged using phase-contrast microscopy for the task of cell segmentation.

The example shows a phase-contrast image of Glioma C6 cells and the manually annotated segmentation mask.

Data type: Phase-contrast images with corresponding annotations in COCO format.

Microscopy data type: 2D phase-contrast images recorded at 24 or 72-hour intervals after cell seeding.

Microscope: BestScope BS-2092 microscope in phase-contrast mode, equipped with 10× and 20× objective lenses.

Cell type: C6 glioma cells (rat glial tumor cells, ATCC CCL-107).

Image size: 2592 × 1944 px² .

File format: .tif (8-bit).

File naming convention: The file names include the cultivation time (24h or 72h) and the microscope objective lens (10× or 20×), e.g., spec_24h_10x_17.tif.

 

Dataset subsets:



Glioma C6-spec: 45 images captured under strictly controlled imaging conditions, divided into training (30 images), validation (4 images), and test (11 images) subsets.

Glioma C6-gen: 30 images captured under varied imaging and seeding conditions, designed to test model generalization.


Annotations:



Over 20,000 annotated objects across both subsets, including 12,000 cell annotations and 7,800 soma annotations.

Glioma C6-spec annotations include Type A cells (spheroid/spindle), Type B cells (flat/spread) and soma (nucleus body).

Glioma C6-gen subset annotations consist only of general cell instances, without differentiation into types or nuclei.


 

Article reference:

"Glioma C6: A Novel Dataset for Training and Benchmarking Cell Segmentation," Malashin et al., 2025.

Authors: 

Roman Malashin¹ ², Svetlana Pashkevich³, Daniil Ilyukhin¹, Arseniy Volkov³, Valeria Yachnaya¹ ², Andrey Denisov³, Maria Mikhalkova¹

Affiliation(s):

¹ Pavlov Institute of Physiology, Russian Academy of Science

² Saint-Petersburg State University of Aerospace Instrumentation, Russia

³ Institute of Physiology, NAS of Belarus

Acknowledgments:

The collection and annotation of this dataset were carried out with financial support from the St. Petersburg Science Foundation and the Belarusian Republican Foundation for Fundamental Research (BRFFR, SCST) under the grant “Detection of tumor cells in nervous tissue using deep learning methods” (contract No. M24SPbG010).
DOI: 10.5281/zenodo.15012665
title: Glioma C6 dataset for cell segmentation

description: Training and test images of Glioma C6 cells imaged using phase-contrast microscopy for the task of cell segmentation.

The example shows a phase-contrast image of Glioma C6 cells and the manually annotated segmentation mask.

Data type: Phase-contrast images with corresponding annotations in COCO format.

Microscopy data type: 2D phase-contrast images recorded at 24 or 72-hour intervals after cell seeding.

Microscope: BestScope BS-2092 microscope in phase-contrast mode, equipped with 10× and 20× objective lenses.

Cell type: C6 glioma cells (rat glial tumor cells, ATCC CCL-107).

Image size: 2592 × 1944 px² .

File format: .tif (8-bit).

File naming convention: The file names include the cultivation time (24h or 72h) and the microscope objective lens (10× or 20×), e.g., spec_24h_10x_17.tif.

 

Dataset subsets:



Glioma C6-spec: 45 images captured under strictly controlled imaging conditions, divided into training (30 images), validation (4 images), and test (11 images) subsets.

Glioma C6-gen: 30 images captured under varied imaging and seeding conditions, designed to test model generalization.


Annotations:



Over 20,000 annotated objects across both subsets, including 12,000 cell annotations and 7,800 soma annotations.

Glioma C6-spec annotations include Type A cells (spheroid/spindle), Type B cells (flat/spread) and soma (nucleus body).

Glioma C6-gen subset annotations consist only of general cell instances, without differentiation into types or nuclei.


 

Article reference:

"Glioma C6: A Novel Dataset for Training and Benchmarking Cell Segmentation," Malashin et al., 2025.

Authors: 

Roman Malashin¹ ², Svetlana Pashkevich³, Daniil Ilyukhin¹, Arseniy Volkov³, Valeria Yachnaya¹ ², Andrey Denisov³, Maria Mikhalkova¹

Affiliation(s):

¹ Pavlov Institute of Physiology, Russian Academy of Science

² Saint-Petersburg State University of Aerospace Instrumentation, Russia

³ Institute of Physiology, NAS of Belarus

Acknowledgments:

The collection and annotation of this dataset were carried out with financial support from the St. Petersburg Science Foundation and the Belarusian Republican Foundation for Fundamental Research (BRFFR, SCST) under the grant “Detection of tumor cells in nervous tissue using deep learning methods” (contract No. M24SPbG010).
DOI: 10.15468/dl.rcmf6w
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ipomoea coccinea"
 ]
}

 The dataset includes 110 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012474-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3x66r
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-84.15015 0.34315,-55.84985 0.34315,-55.84985 11.65685,-84.15015 11.65685,-84.15015 0.34315))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crocodylus intermedius",
 "Year 2000-2025"
 ]
}

 The dataset includes 56 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012475-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pawy4j
title: Occurrence Download

description: A dataset containing 2882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Amanita muscaria"
 ]
}

 The dataset includes 2882 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012476-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3zzd7
title: Occurrence Download

description: A dataset containing 2623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Salvia coccinea"
 ]
}

 The dataset includes 2623 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012477-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.625ac3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-114.07 36.76018, -114.0705 36.76016, -114.0704 36.75982, -114.0697 36.75985, -114.07 36.76018))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012478-251120083545085/datasets/export for details.
DOI: 10.15468/dl.jgvwhj
title: Occurrence Download

description: A dataset containing 197239 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'NZ'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 197239 records were derived from 596 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012441-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-71820
title: New York World's Fair, New York, NY, 1939-1940

description: 31 photographs of the New York World's Fair, New York, NY, 1939-1940. "Subject: New York World's Fair; 1 #19-- 8x10 gl[ossy], flop panel; No. C9-1-7" -- on envelope. " 1 to 11 incl[ude] Statuary at Fair, 12, 13 Rigging of old sailing ship [at Fair], 18, 21 incl[ude] Life Saver parachute jump, 23 to 29 incl[ude] Color fountain at Fair; No. C9-1-7" -- on sleeve.
DOI: 10.34973/tsf6-az44
title: On the performance of multi-compartment relaxometry for myelin water imaging (MCR-MWI)

description: In this study, we optimized the variable flip angle (VFA) acquisition scheme using numerical simulations to shorten the acquisition time of multicompartment relaxometry for myelin water imaging (MCR-MWI) to a clinically practical range in the absence of advanced image reconstruction methods. As the primary objective of this study, the test-retest repeatability of myelin water fraction (MWF) measurements of MCR-MWI is evaluated on three gradient echo (GRE) sequence settings using the optimized VFA schemes with different echo times and repetition times, emulating various scanner setups. The cross-protocol reproducibility of MCR-MWI and MCR with diffusion-informed myelin water imaging (MCR-DIMWI) is also examined. As a secondary objective, we explore the bundle-specific profiles of various microstructural parameters from MCR-(DI)MWI and their cross-correlations to determine if these parameters possess supplementary microstructure information beyond myelin concentration.

Numerical simulations indicate that MCR-MWI can be performed with a minimum of three flip angles covering a wide range of T1 weightings without adding significant bias. This is supported by the results of an in vivo experiment, allowing whole-brain 1.5 mm isotropic MWF maps to be acquired in 9 min, reducing the total scan time to 40% of the original implementation without significant quality degradation. Good test-retest repeatability is observed for MCR-MWI for all three GRE protocols. While good correlations can also be found in MWF across protocols, systematic differences are observed. Bundle-specific MWF analysis reveals that certain white matter bundles are similar in all participants. We also found that microstructure relaxation parameters have low linear correlations with MWF. MCR-MWI is a reproducible measure of myelin. However, attention should be paid to the protocol related MWF differences when comparing different studies, as the MWF bias up to 0.5% can be observed across the protocols examined in this work.
DOI: 10.25549/whit-c170-72013
title: Studio views in Kodachrome, Whittington, Southern California, [s.d.]

description: 13 photographs of studio in Kodachrome, 1 photograph of cat in Kodachrome, 2 photographs of cat in black and white, Whittington, Southern California. "Subject: Whittington; Remarks: Studio Views in Kodachrome shot by meter at #8 Weston; No. 18" -- on envelope. "Whittington, Studio Views in Kodachrome, No. 18" -- on sleeve.
DOI: 10.25549/whit-c170-91695
title: Community Chest, Southern California, 1940

description: 16 photographs of Community Chest, Southern California, 1940. "Subject: Extra Community Chest; These negs to be charged at 2.50 each when used; Client: Community Chest; Hold, see envelope 5-1-1; Job: 5-1-1-A; Year: 1940" -- on envelope.
DOI: 10.25549/whit-c170-74645
title: Paul Bragg, lecture at Trinity, 855 South Grand Avenue, Los Angeles, CA, 1937

description: 33 photographs of Paul Bragg, lecture at Trinity, 855 South Grand Avenue, Los Angeles, CA, 1937. "Subject: Paul Bragg; Remarks: Lecture at Trinity Aud[itorium]; No. 2-50 1937" -- on envelope. "Paul Bragg. Lecture at Trinity Aud[itorium]; No. 2-50 1937" -- on sleeve.
DOI: 10.25549/whit-c170-91659
title: Toilet soap and laundry soap, Southern California, 1940

description: 3 photographs of toilet soap and laundry soap, Southern California, 1940. "Date: Thurs: Time: p.m.; Operator: Herb; For: L. A. soap; At: Studio; Job: several bars of soap; Deliver to: Dale Jones - L. A. Soap Co[mpany]; Order No.: P. O. 5195" -- on card. "Subject: Toilet soap and Laundry soap; Client: L. A. Soap Co[mpany], 617 E[ast] First St[reet], Dale Jones; also 8x10; Original Print Order: 1 ea[ch] #1, 1, 1 #4, 1 #1, 2, 3; Size: reduce to 2"x3", contact, 8x10; Finish: gl[ossy]; 1.50; Re-Order: 3 #2; Finish: gl[ossy]; Mount: reduce to 1 5/8" wide; Job: 4-12-132; Year: 1940" -- on envelope front. "Operator's Report - Name: Herb; 4 Original Photographs-At Studio: @ 3.50; Amount: 14.00; Extra Charges: #5195" -- on envelope back.
DOI: 10.34973/yptr-1c79
title: Thinking inside the voxel: what can susceptibility imaging tell us about white matter properties

description: This collection contributes to the three published articles indicated in the metadata. Please refer to the RDC_directory.txt file for detailed description of the collection organisation.
DOI: 10.25549/whit-c170-92554
title: Burned valves, Southern California, 1940

description: 3 photographs of burned valve, Southern California, 1940. "Date: Fri[day]; Time: now; Operator: Herb; For: K. C. Holliday; For: same, 1329 W[est] 51st Pl[ace], AX19174; At: Studio; Job: 3 shots of burned vales, $12.50; 14.42 incl[ude] Tax, C. O. D.; Deliver to: Holliday will call; Print Order: 2 - ea[ch], 8x10, gl[ossy]" -- on card. "Subject: Burned valves; Client: K. C. Holliday, 1329 W[est] 51st Pl[ace], AX19174; w/c (ok to release to Parton [ilg] Co.); Original Print Order: Sat A. M., 2 ea[ch]; Size: 8x10; Finish: gl[ossy]; Mount: enlarge see "Dick"; Re-Order: 2 #2, 1 #3; Size: 8x10; Finish: gl[ossy]; Job: 4-26-263; Year: 1940" -- on envelope front. "Operator's Report - name: Herb; 3 Original Photographs-At Studio: 8x10; Amount: 12.50" -- on envelope back.
DOI: 10.25549/whit-c170-99312
title: Elderly man, Los Angeles, Calif., 1940

description: 9 photographs of a male model wearing different facial expressions and adopting different attitudes in portrait mode in a studio setting, Los Angeles, California, 1940 November 20.