cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/viet-c80-167
title: Stephanie Truong, What My Parents Saw

description: [profile bio] Stephanie Truong is a junior student currently attending the USC School of Architecture. She is an American-Vietnamese second-generation daughter of two Vietnamese war refugees who found their way out of Vietnam in the early 70's when they were in their teens. Her mother was born in the city while her dad was from a village, both of them from South Vietnam. Stephanie explained how her parents escaped from Vietnam. Her mother boarded a ship to Thailand and was in a camp there while her dad escaped in a fish boat in the middle of the night. He spent 2 weeks in the boat and struggled for food and water and saw people died. He ended up his journey in a refugee camp in Thailand as well. Both of her parents were sponsored by families who helped them come to America. They settled their new life in the United States and years later Stephanie was born. Stephanie is a great example because as a second-generation child she recognizes the sacrifice that her parents did to escape the war that could have cost their lives if they stayed in Vietnam. She feels proud of them and as an American-Vietnamese she wants to share her parents' experiences with future generations as well as her personal perspective towards the war and how it was taught to her in American schools. [profiler bio] Andrew Herrera was born in East Los Angeles, CA. He went to East Los Angeles Community College, and transfer to USC in 2012. He currently majors in Architecture. Difan Feng was born in Beijing, China, where he continued to live until 2008. He came to the US afterward for college. He was an economics major and changed to architecture after his first year. Iliana Michelle Lopez was born in Santa Ana, El Salvador. She moved to California in 2003. She studied architecture in East Los Angeles Community College and transferred to USC in 2012.
DOI: 10.25545/e2w7zv/xxgeu1
title: 13_8_3 Regression Sampling Plots.tab
DOI: 10.15468/dl.jyywpw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerebratulus niveus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016481-251025141854904/datasets/export for details.
DOI: 10.25545/e2w7zv/acvit0
title: 13_8 Noonan Research Forest LiDAR and Big BAF Plot Data Descriptions.pdf
DOI: 10.25545/e2w7zv/9m1msr
title: 13_8_4 Double Sampling Plot Data Descriptions.pdf
DOI: 10.25549/viet-c80-59
title: Stephen Tyler, Artillery Captain

description: [profile bio] Stephen Tyler was born on December 5, 1939 in Los Angeles, California. He attended the University of Southern California and enlisted into the army at the age of 22. He started off in the California Army National Guard and then went to active duty during the Vietnam war. He served as an Artillery Captain during the his tour in Vietnam. After the war he continued his career in the military and stayed in active duty. He spent the last third of his military career in the reserves. He now lives in Sierra Madre and he is very involved with USC and his fraternity Beta Theta Pi. He also goes to every home football game. [profiler bio] My name is James Jin Lee and I am 21 years old. Currently I am attending the University of Southern California as a student in the Marshall School of Business. I am glad that I had the opportunity to hear Mr. Tyler's stories during the war. Once again I would like to thank Mr. Tyler for his service. My name is Colin Kreditor and I am 18 years old. I am currently a freshman at USC and I am studying Accounting. I played golf in high school and I have lived in Southern California my whole life. My name is Patrick Gevargiz. I am currently a senior at USC and I am studying Electrical Engineering at Viterbi School of Engineering.
DOI: 10.25545/e2w7zv/bhh0rp
title: 13_8_4 Double Sampling.tab
DOI: 10.25545/e2w7zv/3tp9mu
title: 13_8_5 List Sampling.csv
DOI: 10.25545/e2w7zv/kxmyqw
title: 13_8_5 List Sampling Plot Data Descriptions.pdf
DOI: 10.25549/viet-c80-126
title: Tony Vargas, From City Boy to First Target

description: [profile bio] Tony Vargas is a Los Angeles native who was a a machine gunner in the Marine Corps during the Vietnam War. After receiving a Purple Heart for a wound he received during the Tet Offensive, he went home and began his civilian life. Tony mentioned off camera that he has no bitterness at all about what happened to him in Vietnam, and feels that his being there was part of a much larger divine plan. He is now a member of the Church of Jesus Christ of Latter-Day Saints and spends a lot of his time serving his community through his calling and responsibilities within the same. [profiler bio] Nick Bopp is a senior majoring in Computer Engineering / Computer Science. Paul Martinez is a junior majoring in Architecture.
DOI: 10.6084/m9.figshare.30536696
title: <b>C</b><b>hromosome-level genome assembly</b><b> </b><b>and annotation</b><b> </b><b>of</b><b> </b><b>the Subterranean Mole Cricket</b>

description: <b>Multimodal Analysis of Visual Adaptation in the Subterranean Mole Cricket (</b><b><i>Gryllotalpa orientalis</i></b><b>) Based on Opsin Gene Expression and Chromosome-Level Genome Assembly</b>
DOI: 10.6084/m9.figshare.30536696.v1
title: <b>C</b><b>hromosome-level genome assembly</b><b> </b><b>and annotation</b><b> </b><b>of</b><b> </b><b>the Subterranean Mole Cricket</b>

description: <b>Multimodal Analysis of Visual Adaptation in the Subterranean Mole Cricket (</b><b><i>Gryllotalpa orientalis</i></b><b>) Based on Opsin Gene Expression and Chromosome-Level Genome Assembly</b>
DOI: 10.25545/e2w7zv/plp93z
title: 13_8_7 Point 3P Sampling Data Descriptions.pdf
DOI: 10.25545/e2w7zv/nasxmy
title: 13_8_6 3P Sample Tree List.csv
DOI: 10.25545/e2w7zv/w0ood4
title: 13_8_7 Point 3P HPS Data.tab
DOI: 10.25549/viet-c80-169
title: Kinh Vu and Tien, Vietnamese people were ignorant

description: [profile bio] Both interviewees, Kinh Vu and Tien, were born and lived in North Vietnam in Hanoi. After 1954 when Vietnam was independent from French colonialists, both chose to move to South Vietnam for a better living. After the Vietnam War broke out, they both joined the South Vietnam army and fought the war. After the war, they were both put into re-education camps. After being released in 1984, Vu Kinh (Vu as family name and Kinh as given name) fled to the U.S. as boat people and settled in Orange County. After four years in 1988, Tien moved to the U.S. through the Humanitarian Operations program for former re-education camp prisoners, and also settled in Orange County. They both have strong feelings against the North Vietnam regime and declined to have their faces shown because the topic about the war is still controversial and their points of view are radical. To protect themselves from unnecessary troubles, they refused to publish their faces. [profiler bio] Zhehao Cai is born and raised in Shanghai. He is a currently a USC freshman student majoring in Applied math. Tuan Kieu is born and raised in Hanoi. He is currently a junior student in USC Marshall majoring in administration. Derek Lin is born in Northern California and grew up in Fresno. He is currently pursuing a bachelor of arts in communication at Annenberg School at USC with three minors, computer programming, cinematic arts and consumer behavior.
DOI: 10.25545/e2w7zv/tnoqbo
title: 13_8_6 3P Sampling Data Descriptions.pdf
DOI: 10.25545/e2w7zv/jpgecq
title: 13_8_7 Point 3P Mapped Tree Data.tab
DOI: 10.25549/viet-c80-170
title: Kinh Vu and Tien, Vietnamese people were ignorant

description: [profile bio] Both interviewees, Kinh Vu and Tien, were born and lived in North Vietnam in Hanoi. After 1954 when Vietnam was independent from French colonialists, both chose to move to South Vietnam for a better living. After the Vietnam War broke out, they both joined the South Vietnam army and fought the war. After the war, they were both put into re-education camps. After being released in 1984, Vu Kinh (Vu as family name and Kinh as given name) fled to the U.S. as boat people and settled in Orange County. After four years in 1988, Tien moved to the U.S. through the Humanitarian Operations program for former re-education camp prisoners, and also settled in Orange County. They both have strong feelings against the North Vietnam regime and declined to have their faces shown because the topic about the war is still controversial and their points of view are radical. To protect themselves from unnecessary troubles, they refused to publish their faces. [profiler bio] Zhehao Cai is born and raised in Shanghai. He is a currently a USC freshman student majoring in Applied math. Tuan Kieu is born and raised in Hanoi. He is currently a junior student in USC Marshall majoring in administration. Derek Lin is born in Northern California and grew up in Fresno. He is currently pursuing a bachelor of arts in communication at Annenberg School at USC with three minors, computer programming, cinematic arts and consumer behavior.
DOI: 10.25545/e2w7zv/ouxczh
title: 13_8_3 Regression Sampling Plot Data Descriptions.pdf
DOI: 10.25545/e2w7zv
title: Chapter 13.8 Sampling with Covariates Examples

description: Data and associated examples shown in Chapter 13, Section 13.8 Sampling with Covariates, Forest Mensuration, 6th Edition
DOI: 10.15468/dl.rex9j7
title: Occurrence Download

description: A dataset containing 39756290 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 39756290 records from 5184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016438-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0vu4hi
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002909-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqkzzw
title: Occurrence Download

description: A dataset containing 983851359 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 983851359 records from 19607 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024384-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21253/dmu.30134875
title: Pressure control techniques in freeze-drying

description: 1.1 Pressure control techniquesThe pressure control techniques in industry, scientific applications or production is an open-ended area, and their related very challenging research and development are still going on. PID (Proportional Integral Derivative) controllers are the most common ones among the others, but with the latest developments in Artificial Intelligence (AI) fields, other methods like Fuzzy logic (FL) control has also become an alternative method for pressure control, where the process domains exhibit high parameters variations and PID method cannot be applicable. The pressure control methods selection heavily depends on the specifications of target application, hence not only one can particularly be emphasized. The most common Pressure control techniques would be listed as follows:PID methodFuzzy logicMax pressure algorithmsReinforcement learningAdaptive controlSetpoint profile tracking (Bang-bang control)Pressure control systems have to perform a particular task in the target process considering some key functionalities like: system dynamism, control performance, stability, adaptability, accuracy, etc. PID (Proportional Integral Derivative) controllers provide most of those functionalities and they operate in a closed loop system (called PID loop) by which the system reads a sensor output, to provide a constant feedback, against which the desired actuator output may be calculated at a regular interval (e.g., time interval) known as a fixed loop rate. The operational principle of PID system can is illustrated in the Powerpoint figures of this Figshare publication, respectively.
DOI: 10.21253/dmu.30134875.v1
title: Pressure control techniques in freeze-drying

description: 1.1 Pressure control techniquesThe pressure control techniques in industry, scientific applications or production is an open-ended area, and their related very challenging research and development are still going on. PID (Proportional Integral Derivative) controllers are the most common ones among the others, but with the latest developments in Artificial Intelligence (AI) fields, other methods like Fuzzy logic (FL) control has also become an alternative method for pressure control, where the process domains exhibit high parameters variations and PID method cannot be applicable. The pressure control methods selection heavily depends on the specifications of target application, hence not only one can particularly be emphasized. The most common Pressure control techniques would be listed as follows:PID methodFuzzy logicMax pressure algorithmsReinforcement learningAdaptive controlSetpoint profile tracking (Bang-bang control)Pressure control systems have to perform a particular task in the target process considering some key functionalities like: system dynamism, control performance, stability, adaptability, accuracy, etc. PID (Proportional Integral Derivative) controllers provide most of those functionalities and they operate in a closed loop system (called PID loop) by which the system reads a sensor output, to provide a constant feedback, against which the desired actuator output may be calculated at a regular interval (e.g., time interval) known as a fixed loop rate. The operational principle of PID system can is illustrated in the Powerpoint figures of this Figshare publication, respectively.
DOI: 10.21253/dmu.30134875.v2
title: Pressure control techniques in freeze-drying

description: 1.1 Pressure control techniquesThe pressure control techniques in industry, scientific applications or production is an open-ended area, and their related very challenging research and development are still going on. PID (Proportional Integral Derivative) controllers are the most common ones among the others, but with the latest developments in Artificial Intelligence (AI) fields, other methods like Fuzzy logic (FL) control has also become an alternative method for pressure control, where the process domains exhibit high parameters variations and PID method cannot be applicable. The pressure control methods selection heavily depends on the specifications of target application, hence not only one can particularly be emphasized. The most common Pressure control techniques would be listed as follows:PID methodFuzzy logicMax pressure algorithmsReinforcement learningAdaptive controlSetpoint profile tracking (Bang-bang control)Pressure control systems have to perform a particular task in the target process considering some key functionalities like: system dynamism, control performance, stability, adaptability, accuracy, etc. PID (Proportional Integral Derivative) controllers provide most of those functionalities and they operate in a closed loop system (called PID loop) by which the system reads a sensor output, to provide a constant feedback, against which the desired actuator output may be calculated at a regular interval (e.g., time interval) known as a fixed loop rate. The operational principle of PID system can is illustrated in the Powerpoint figures of this Figshare publication, respectively.
DOI: 10.5281/zenodo.17337712
title: Enhanced nitrogen load improved soil phosphorus availability by regulating P­cycling microbial genes in a typical subtropical estuary (Min River), Southeast China

description: The raw data of "Enhanced nitrogen load improved soil phosphorus availability by regulating P-­cycling microbial genes in a typical subtropical estuary (Min River), Southeast China", which includes soil physicochemical properties and soil phosphorus fractions under enhanced nitrogen load conditions.
DOI: 10.5281/zenodo.17337711
title: Enhanced nitrogen load improved soil phosphorus availability by regulating P­cycling microbial genes in a typical subtropical estuary (Min River), Southeast China

description: The raw data of "Enhanced nitrogen load improved soil phosphorus availability by regulating P-­cycling microbial genes in a typical subtropical estuary (Min River), Southeast China", which includes soil physicochemical properties and soil phosphorus fractions under enhanced nitrogen load conditions.
DOI: 10.15468/dl.hjmvr7
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonchocarpus caudatus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 191 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012751-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kmeqk
title: Occurrence Download

description: A dataset containing 5335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spheniscus mendiculus Sundevall, 1871"
 ]
}

 The dataset includes 5335 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289316-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akjmgr
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clytomyias insignis Sharpe, 1879)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 281 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293329-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwqchw
title: Occurrence Download

description: A dataset containing 75865 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Asimina speciosa Nash, Asimina obovata (Willd.) Nash, Asimina triloba (L.) Dunal, Asimina longifolia Kral, Asimina manasota DeLaney, Asimina nashii Kral, Asimina parviflora (Michx.) Dunal, Asimina pygmaea (W.Bartram) Dunal, Asimina reticulata Shuttlew. ex Chapm., Asimina tetramera Small, Juglans arizonica Dode, Juglans californica S.Watson, Juglans hindsii (Jeps.) Jeps. ex R.E.Sm., Juglans cinerea L., Juglans jamaicensis C.DC., Juglans major (Torr.) A.Heller, Juglans microcarpa Berl., Juglans neomexicana Dode, Juglans nigra L., Juglans subrupestris Dode, Juglans torreyi Dode)"
 ]
}

 The dataset includes 75865 records from 543 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033460-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aefbud
title: Occurrence Download

description: A dataset containing 343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eudyptes schlegeli Finsch, 1876"
 ]
}

 The dataset includes 343 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289319-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grq5p2
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sipodotus wallacii (G.R.Gray, 1862))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 200 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293331-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gccdm
title: Occurrence Download

description: A dataset containing 8247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Spheniscus demersus (Linnaeus, 1758)"
 ]
}

 The dataset includes 8247 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289323-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5737g
title: Occurrence Download

description: A dataset containing 12500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carcharodon carcharias (Linnaeus, 1758)",
 "Year 2000-2023"
 ]
}

 The dataset includes 12500 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281321-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3amphk
title: Occurrence Download

description: A dataset containing 7719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chlamydera guttata Gould, 1862)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7719 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293319-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjpj4t
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Oenocarpus bataua Mart.",
 "Year 2013-2023"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281330-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.