cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/ach-j4g-b6n
title: †Pseudorbitoides trechmanni Douvillé, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2jf-yvf-v2y
title: Cytherideis Jones, 1856

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rxv-pzb-87q
title: †Pseudorbitoides Douvillé, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3pw-wj3-974
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rbm-v02-sc5
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2yn-v5v-af3
title: †Ammonoidea

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hxq-zk5-gb5
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/acy-jmt-pnz
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wba-rmq-mqs
title: Caloceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3886/e244192
title: NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome

description: NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
§ Includes data for old world hantavirus infections, such as Seoul virus infections. Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).
¶ Includes data for Andes virus infections.
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description: (Downloaded 1/12/2026)
DOI: 10.3886/e244192v1
title: NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome

description: NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
§ Includes data for old world hantavirus infections, such as Seoul virus infections. Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).
¶ Includes data for Andes virus infections.
Read less
description: (Downloaded 1/12/2026)
DOI: 10.17632/fc36ftyj7p
title: A Constructionist Microworld for Higher Technical Education: Evaluating the Effectiveness of the Descriptive Geometry Assistant (DGA) on Student Performance

description: Descriptive Geometry (DG) provides methods for solving problems of three-dimensional space through their representation on a two-dimensional drawing plane. Mastery of DG requires the development of spatial skills, an objective that has repeatedly proven difficult to achieve through traditional paper-and-pencil instruction. A paradigm change in DG teaching is therefore needed, one that may be facilitated through the use of virtual environments that provide highly interactive visual learning experiences. The present study aimed to analyze the influence of a constructionist microworld, the Descriptive Geometry Assistant (DGA), on DG learning. Two complementary analyses were conducted. First, performance was compared among first-year engineering students at the University of León (Spain) who completed a paper-based exercise, with total scores evaluated across experimental and control (DGA vs. paper). Results showed significantly higher performance for the experimental group. Second, within DGA, four parameterized exercises (two point-based, two line-based) were analyzed among students from Spain and Portugal, considering country, sex, and exercise type. Results indicated systematic performance differences, with higher scores in Spain than Portugal and for men compared to women, particularly in point-construction tasks.
DOI: 10.17632/fc36ftyj7p.2
title: A Constructionist Microworld for Higher Technical Education: Evaluating the Effectiveness of the Descriptive Geometry Assistant (DGA) on Student Performance

description: Descriptive Geometry (DG) provides methods for solving problems of three-dimensional space through their representation on a two-dimensional drawing plane. Mastery of DG requires the development of spatial skills, an objective that has repeatedly proven difficult to achieve through traditional paper-and-pencil instruction. A paradigm change in DG teaching is therefore needed, one that may be facilitated through the use of virtual environments that provide highly interactive visual learning experiences. The present study aimed to analyze the influence of a constructionist microworld, the Descriptive Geometry Assistant (DGA), on DG learning. Two complementary analyses were conducted. First, performance was compared among first-year engineering students at the University of León (Spain) who completed a paper-based exercise, with total scores evaluated across experimental and control (DGA vs. paper). Results showed significantly higher performance for the experimental group. Second, within DGA, four parameterized exercises (two point-based, two line-based) were analyzed among students from Spain and Portugal, considering country, sex, and exercise type. Results indicated systematic performance differences, with higher scores in Spain than Portugal and for men compared to women, particularly in point-construction tasks.
DOI: 10.15468/sspd8j
title: Rediscovery of the enigmatic genus Pilia Simon, 1902 (Araneae: Salticidae) with the description of a new species from India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Caleb, John T. D., Padiyar, Ajith, Abhijith, A. P. C., Pai, Jithesh (2025): Rediscovery of the enigmatic genus Pilia Simon, 1902 (Araneae: Salticidae) with the description of a new species from India. Zootaxa 5716 (2): 279-288, DOI: 10.11646/zootaxa.5716.2.7, URL: https://doi.org/10.11646/zootaxa.5716.2.7AbstractThe jumping spider genus Pilia Simon, 1902, previously known from only three species and exclusively from male specimens, has remained taxonomically enigmatic due to limited material and uncertain placement within Salticidae. During recent field surveys in Chickmagaluru, Karnataka, we rediscovered the genus in the wild after 123 years and collected both male and female specimens, leading to the description of a new species, Pilia malenadu sp. nov. This work represents the first documented female of the genus. Natural history observations are presented for the new species. Pilia albicoma Szombathy, 1915 is transferred to Simaetha Thorell, 1881 to become Simaetha albicoma (Szombathy, 1915) comb. nov. The updated distribution of the genus Pilia and new insights into its taxonomy, and phylogenetic context within Salticidae are provided.
DOI: 10.15468/dl.vkrhjk
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1915",
 "Year is less than or equal to 1919"
 ]
}

 The dataset includes 41 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009756-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42y5c2
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.32.7_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 69 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009755-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj5fss
title: Occurrence Download

description: A dataset containing 6258 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plecoptera of West Virginia"
 ]
}

 The dataset includes 6258 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009757-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5taxb2
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tapirus terrestris",
 "Country is Paraguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009758-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3grek
title: Occurrence Download

description: A dataset containing 552301293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 552301293 records from 19397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009718-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15455096
title: TIJОRАT BАNKLАRINING XАLQАRО BОZОRDАGI EMISSIОN FАОLIYАTI TАHLILI
DOI: 10.5281/zenodo.15455097
title: TIJОRАT BАNKLАRINING XАLQАRО BОZОRDАGI EMISSIОN FАОLIYАTI TАHLILI
DOI: 10.15468/dl.bs8g7s
title: Occurrence Download

description: A dataset containing 540560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.47441 36.83607,-4.64893 36.68228,-4.5224 36.64728,-4.33043 36.67878,-4.47441 36.83607))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 540560 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004235-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qv67nx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((30.30387 -13.99567, 30.3542 -13.99567, 30.3542 -13.91786, 30.30387 -13.91786, 30.30387 -13.99567))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004251-250515123054153/datasets/export for details.
DOI: 10.5281/zenodo.15455104
title: BOLALARNI IJTIMOIY MOSLASHUVCHANLIGI VA RIVOJLANISHIDA OILAVIY MUHITNING AHAMIYATI
DOI: 10.5281/zenodo.15455105
title: BOLALARNI IJTIMOIY MOSLASHUVCHANLIGI VA RIVOJLANISHIDA OILAVIY MUHITNING AHAMIYATI
DOI: 10.15468/dl.dx7wpd
title: Occurrence Download

description: A dataset containing 8671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Southern African Bird Atlas Project 2",
 "TaxonKey is Ardeotis kori (Burchell, 1822)"
 ]
}

 The dataset includes 8671 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004253-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ha5rz6
title: Occurrence Download

description: A dataset containing 115104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Kickxia Dumort."
 ]
}

 The dataset includes 115104 records from 1255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004246-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftzb6r
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Valeriana jatamansi Jones",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004255-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jftms
title: Occurrence Download

description: A dataset containing 21115 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((33.75096 -14.45914, 34.69066 -14.45914, 34.69066 -13.91786, 33.75096 -13.91786, 33.75096 -14.45914))"
 ]
}

 The dataset includes 21115 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004254-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/h40b2l/y5tqo7
title: 18_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/3oq69k
title: 18_reference_post_acquisition.dm4

description: :unav
DOI: 10.15468/dl.ardh2a
title: Occurrence Download

description: A dataset containing 37828 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Alert Dataset"
 ]
}

 The dataset includes 37828 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035262-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/h40b2l/mpllcq
title: 19_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/2uf1kw
title: 19_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/kxece4
title: 19_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/peseqs
title: 19_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/g0fwzw
title: 20_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/jy6bat
title: 20_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/bkdraj
title: 20_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/4ktqb0
title: 21_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/w4gedf
title: 20_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/c0czoh
title: 21_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/tsdylm
title: 21_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/olbaas
title: 21_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/plomvv
title: 22_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/lqtreq
title: 22_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/sjzcf9
title: 22_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/6whrij
title: 22_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/fyd42l
title: 23_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/h3wvvt
title: 23_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/cskqgu
title: 23_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/djangt
title: 23_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/uyimrq
title: 24_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/vxqgan
title: 24_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/7069id
title: 24_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/jrovbk
title: 24_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/4pqjmr
title: 25_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/dzacip
title: 25_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/i6nxbi
title: 25_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/gcfqan
title: 26_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/t3ez0n
title: 25_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/xbdhk0
title: 26_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/mdiwpj
title: 26_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/2xwhij
title: 27_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/lhgdh1
title: 26_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/un2exy
title: 27_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/wdw27h
title: 27_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/51uiva
title: 28_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/tbf78a
title: 27_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/eyevzl
title: 28_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/wh6hsp
title: 28_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/jahfy1
title: 28_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/pekpdc
title: 29_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/qedqo6
title: 29_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/yj6p0o
title: 29_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/ksgkeo
title: 29_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/9nhvdp
title: 30_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/2b0ga9
title: 30_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/pxw7nq
title: 30_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/2fpg8f
title: 31_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/9xfylk
title: 30_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/7s6cml
title: 31_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/5zyakm
title: 31_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/tkp92y
title: 32_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/zmmpya
title: 31_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/y5iklk
title: 32_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/oukubz
title: 32_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/smckzn
title: 32_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/jhsfc7
title: 33_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/kmjmkq
title: 33_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/txc3po
title: 33_virtual_BF.dm4

description: :unav
DOI: 10.25625/h40b2l/aunjmt
title: 33_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/r1bdkj
title: 34_reference.dm4

description: :unav
DOI: 10.25625/h40b2l/ffkajb
title: 34_reference_post_acquisition.dm4

description: :unav
DOI: 10.25625/h40b2l/u6invq
title: 34_stack.dm4

description: :unav
DOI: 10.25625/h40b2l/ap1fft
title: 34_virtual_BF.dm4

description: :unav