cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ywsg9e
title: Occurrence Download

description: A dataset containing 68395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 1970",
 "RecordedBy is one of (Stephen John Davies, Stephen Q. Shafer, Stephen Sentoff, Stephen Tirone, Steve Collins, Steve Pothoven, Steven Bodzin, Steven Daniel, Steven Holgate, Steven Joyner, Steven Wang, Steven Wilson, Streettree63, Stu Hall (BritHikesOntario), Stuart Davis, Sue, Sue Anne Brenner, Sujan Henk, Summer, Summit Metro Parks, Sus scrofa, Susan Elliott, Susan J. Hewitt, Suzanne Bohay, Swampgirl, Sydney Penner, Sylvain Miller, Sylvia, Séraphin Poudrier, T Duffy, TC Riley, TG, Tanya Sulikowski, Tara Sample, Tarra, Tate Putman, Taylor, Taylor Pichler, Ted Weber, Teresa May, Terra Haines, Terri Jacobsen, Terri Koontz, Terry Bullen, Tessa Gunnell, The Leach, The Roadside Naturalist, TheRaffe, Theo Rickert, Thomas Everest)",
 "TaxonKey is Animalia",
 {
 "not" : {
 "TaxonKey" : [
 "is Chordata"
 ]
 }
 }
 ]
}

 The dataset includes 68395 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004324-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tew7k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Julis poecilepterus Temminck & Schlegel, 1845",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004327-250123221155621/datasets/export for details.
DOI: 10.15468/dl.xw2ruz
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Priacanthus macracanthus Cuvier, 1829",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 213 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004329-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcx2hd
title: Occurrence Download

description: A dataset containing 93412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 1970",
 "RecordedBy is one of (Thomas Herman, Thomas Hernandez, Thomas J Nolan, Thomas Koffel, Thomas Lappin, Thomas Nguyen, Tim, Tim Johnson, Tim Kleman, Timmie Schramm, Timothy Reichard, Tina Marie, Tina Marie Camp Scheff, Tiziano Hurni-Cranston, Tobi McIntyre Szufranowicz, Todd Norris, Todd_Outdoors, Tom Arata, Tom Hothem, Tom Murray, Tom Romeo, Tommaso Sitzia, Tony Gerard, Tony Rozewski, Tony Schollmeier, Tracee, Traci DuBose, Tracy Drake, Travis, Travis G, Trent Massey, Trevor Edmonson, Tristan Jobin, Tristan Schramer, Tulipifera-ike, Ty Smith, Tyler Balsters, Tyler Brooks, Tyler Christensen, Val, Val McGruder, Valentín Alfano, Vera Ting, Vermont Center for Ecostudies, Ves, Vicki McKay, Victoria Schinstine, Victoria Velting, Victoria W, Vince3TNT)",
 "TaxonKey is Animalia",
 {
 "not" : {
 "TaxonKey" : [
 "is Chordata"
 ]
 }
 }
 ]
}

 The dataset includes 93412 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004328-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shcvya
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Xylosandrus mutilatus Wood & Bright, 1992"
 ]
}

 The dataset includes 68 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004332-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkscts
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Cnestus mutilatus Dole & Cognato, 2010"
 ]
}

 The dataset includes 87 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004330-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dz3xn
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Xylosandrus mutilatus Wood & Bright, 1992"
 ]
}

 The dataset includes 68 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004331-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukp5vf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Priacanthus meeki Jenkins, 1903",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004334-250123221155621/datasets/export for details.
DOI: 10.15468/dl.yx4a3e
title: Occurrence Download

description: A dataset containing 53650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 1970",
 "RecordedBy is one of (Violet, Violet T., Viscouse, W. Terry Hunefeld, Wardo, Warren Dunlop, Warren Lussier, Wasyl Bakowsky, Wayne Fidler, Wayne Longbottom, Wendy Anderson, Whitney Suurd, Will Bennett, Will Earley, Will Freyman, Will Hooker, William Abney, William C Schmidt, William Harmon, William Hull, William S, William Samojeden, William Van Hemessen, Willknit, Wren, Wren Bell, Wyatt Cheuhmong Xiong, Y. Liu, Yann Kemper, Yianni Laskaris, Yolanda Villacampa, Yusuf Jassim, ZACHARY A. BELL, Zachary Dankowicz, Zachary Gossom, Zachary Justus, Zack Graham, Zebulen Collier, Zihao Wang, Zimmerman, Zoology123, a233t245, aanda, aanth, aanya_j, aarongunnar, aaronr, aary_ru, abbyritter, abdulade)",
 "TaxonKey is Animalia",
 {
 "not" : {
 "TaxonKey" : [
 "is Chordata"
 ]
 }
 }
 ]
}

 The dataset includes 53650 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004333-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b342d
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beryx splendens Lowe, 1834",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004335-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.28060730.v1
title: Supporting data for "Chemical Auxiliary for Photocatalytic Active Colloids"

description: The dataset contains five folders including the most important electronic microscope imgaes, measurement and calculation results, as well as recorded video in the thesis.A. Dataset (Chapter 2): Under this zip file is dataset of chapter 2. It contains five folders including all measurement, calculation data and recorded videos of this PhD thesis. They are SEM images of samples, NMR characterization of molecules, confocal images of experiments, related calculation results in excel and recorded videos of related experiments.B. Dataset (Chapter 3): Under this zip file is dataset of chapter 3. It contains four folders including all measurement, calculation data and recorded videos of this PhD thesis. They are SEM images of samples, related calculation results in excel, designed figures of chapter 3, and recorded videos of related experiments.C. Dataset (Chapter 4): Under this zip file is dataset of chapter 4. It contains four folders including all measurement, calculation data and recorded videos of this PhD thesis. They are SEM images of samples, Zeta potential measurements of particles, related calculation results in excel, and recorded videos of related experiments.D. Dataset (Chapter 5): Under this zip file is dataset of chapter 5. It contains five folders including all measurement, calculation data and recorded videos of this PhD thesis. They are SEM images of samples, BET adsorption measurements of particles, X-ray diffraction measurements of particles, related calculation results in excel, and recorded videos of related experiments.E. Dataset (Others): Under this zip file is dataset of other information. It contains four folders including presentation materials during the research, constructed models for research, E-chemistry testing results and word files of related project.
DOI: 10.25442/hku.28060730
title: Supporting data for "Chemical Auxiliary for Photocatalytic Active Colloids"

description: The dataset contains five folders including the most important electronic microscope imgaes, measurement and calculation results, as well as recorded video in the thesis.A. Dataset (Chapter 2): Under this zip file is dataset of chapter 2. It contains five folders including all measurement, calculation data and recorded videos of this PhD thesis. They are SEM images of samples, NMR characterization of molecules, confocal images of experiments, related calculation results in excel and recorded videos of related experiments.B. Dataset (Chapter 3): Under this zip file is dataset of chapter 3. It contains four folders including all measurement, calculation data and recorded videos of this PhD thesis. They are SEM images of samples, related calculation results in excel, designed figures of chapter 3, and recorded videos of related experiments.C. Dataset (Chapter 4): Under this zip file is dataset of chapter 4. It contains four folders including all measurement, calculation data and recorded videos of this PhD thesis. They are SEM images of samples, Zeta potential measurements of particles, related calculation results in excel, and recorded videos of related experiments.D. Dataset (Chapter 5): Under this zip file is dataset of chapter 5. It contains five folders including all measurement, calculation data and recorded videos of this PhD thesis. They are SEM images of samples, BET adsorption measurements of particles, X-ray diffraction measurements of particles, related calculation results in excel, and recorded videos of related experiments.E. Dataset (Others): Under this zip file is dataset of other information. It contains four folders including presentation materials during the research, constructed models for research, E-chemistry testing results and word files of related project.
DOI: 10.25442/hku.28124510
title: Supporting data for "Studies on ovarian follicle development translating basic research to female infertility treatment"

description: This study evaluated three anti-inflammatory drugs—curcumin, loteprednol etabonate (LE), and ibuprofen—to explore their effects on primordial follicle activation. Curcumin and LE promoted the development of small ovarian follicles in neonatal mouse ovaries <em>in vitro</em>, which greatly potentiated these follicles for subsequent <em>in vivo </em>development into antral follicles after transplantation into the recipient mice. Furthermore, curcumin has been shown to promote the survival and development of small follicles in human ovaries, suggesting its potential use in IVA treatments. Conversely, ibuprofen did not affect the development of ovarian follicles in mice, both <em>in vivo</em> and <em>in vitro</em>.
Further mechanistic studies aimed at elucidating how curcumin and LE promote small follicle development revealed that both drugs can activate the PI3K signaling pathway. They stimulated granulosa cell proliferation and inhibited apoptosis in ovarian cells. RNA sequencing of LE-treated neonatal mice ovaries provided additional insights into how LE might facilitate follicular development.
DOI: 10.25442/hku.28124510.v1
title: Supporting data for "Studies on ovarian follicle development translating basic research to female infertility treatment"

description: This study evaluated three anti-inflammatory drugs—curcumin, loteprednol etabonate (LE), and ibuprofen—to explore their effects on primordial follicle activation. Curcumin and LE promoted the development of small ovarian follicles in neonatal mouse ovaries <em>in vitro</em>, which greatly potentiated these follicles for subsequent <em>in vivo </em>development into antral follicles after transplantation into the recipient mice. Furthermore, curcumin has been shown to promote the survival and development of small follicles in human ovaries, suggesting its potential use in IVA treatments. Conversely, ibuprofen did not affect the development of ovarian follicles in mice, both <em>in vivo</em> and <em>in vitro</em>.
Further mechanistic studies aimed at elucidating how curcumin and LE promote small follicle development revealed that both drugs can activate the PI3K signaling pathway. They stimulated granulosa cell proliferation and inhibited apoptosis in ovarian cells. RNA sequencing of LE-treated neonatal mice ovaries provided additional insights into how LE might facilitate follicular development.
DOI: 10.25442/hku.28141397
title: <i>Supporting data for "the effectiveness of whole-body vibration in preventing vocal fatigue"</i>

description: This study aimed to investigate whether a 10-minute whole-body vibration can be used as an effective method to prevent vocal fatigue.Thirty-eight vocally healthy adults were recruited in the present study. Participants were randomly assigned to the experiment or control groups to receive either a 10-minute whole-body vibration or vocal resting as a vocal preparation task. After that, participants were asked to perform a vocal loading task to induce vocal fatigue. Dataset involving scores of the self-perceived level of vocal effort, the highest fundamental frequency production, estimated subglottal air pressure, and the thyrohyoid distances was collected at the pre-prevention phase (the baseline level before vocal preparation tasks), post-prevention phase (immediately after whole-body vibration or vocal resting), and post-reading phase (after vocal loading tasks). The duration of vocal loading tasks in the two groups was also counted. For dataset scores of the self-perceived level of vocal effort, total scores of five items by addition from subjective self-ratings were calculated as scores of self-perceived levels of vocal effort. The duration of vocal loading tasks was computed from the moment participants started to read text materials to the moment they reported vocal fatigue. It was measured in units of minutes. For the dataset with the highest fundamental frequency production, participants were asked to repeat the process of producing the highest fundamental frequency three times. The highest fundamental frequency production for each trail was obtained by the program itself. The highest fundamental frequency production among these three trials was selected for final analysis. For the dataset with estimated subglottal air pressure, the mean phonation threshold pressure (cm H<sub>2</sub>O) of the middle five /pi/ syllables among three trials was included as the estimated subglottal air pressure for final analysis. For thyrohyoid distances, after identifying the hyoid bone and thyroid cartilage, the researcher placed the starting and ending points at corresponding positions with the cursor. A segmented line between these two landmarks was used to indicate the thyrohyoid distance and it was measured in centimeters. <br>
DOI: 10.25442/hku.28141397.v1
title: <i>Supporting data for "the effectiveness of whole-body vibration in preventing vocal fatigue"</i>

description: This study aimed to investigate whether a 10-minute whole-body vibration can be used as an effective method to prevent vocal fatigue.Thirty-eight vocally healthy adults were recruited in the present study. Participants were randomly assigned to the experiment or control groups to receive either a 10-minute whole-body vibration or vocal resting as a vocal preparation task. After that, participants were asked to perform a vocal loading task to induce vocal fatigue. Dataset involving scores of the self-perceived level of vocal effort, the highest fundamental frequency production, estimated subglottal air pressure, and the thyrohyoid distances was collected at the pre-prevention phase (the baseline level before vocal preparation tasks), post-prevention phase (immediately after whole-body vibration or vocal resting), and post-reading phase (after vocal loading tasks). The duration of vocal loading tasks in the two groups was also counted. For dataset scores of the self-perceived level of vocal effort, total scores of five items by addition from subjective self-ratings were calculated as scores of self-perceived levels of vocal effort. The duration of vocal loading tasks was computed from the moment participants started to read text materials to the moment they reported vocal fatigue. It was measured in units of minutes. For the dataset with the highest fundamental frequency production, participants were asked to repeat the process of producing the highest fundamental frequency three times. The highest fundamental frequency production for each trail was obtained by the program itself. The highest fundamental frequency production among these three trials was selected for final analysis. For the dataset with estimated subglottal air pressure, the mean phonation threshold pressure (cm H<sub>2</sub>O) of the middle five /pi/ syllables among three trials was included as the estimated subglottal air pressure for final analysis. For thyrohyoid distances, after identifying the hyoid bone and thyroid cartilage, the researcher placed the starting and ending points at corresponding positions with the cursor. A segmented line between these two landmarks was used to indicate the thyrohyoid distance and it was measured in centimeters. <br>
DOI: 10.15468/dl.d42kwb
title: Occurrence Download

description: A dataset containing 4950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 1970",
 "RecordedBy is one of (abelanger27, abressette, abrew, abstractguy, acanterbury, accokeekvaughn, achristianson25, ackegler, acpv92019, acurtis13, adam1420, adamblazino, adamfine, adamsmchenry, adamtroyg, addiewaltz, addisonaguiniga, adilla43, aditiathreyas, adrienne alms, adski14, aeburley, aegolius99, aelfwyck, aeshnidae28, afit, agyork523, ahappel, ahorton48, ahuntley2, aidanhealy, aimpieri, airfirewater, airsickspace, aiza60, akparrell, alainasharp, alandextrase, alangdale, aleconinaturalist, aleistra, alena_a, aleone13, alexagenardi, alexis_shatrau, alexmarcoci99, alexparry, alexschmidt4656, alexwalkerr, ali_ciarletta)",
 "TaxonKey is Animalia",
 {
 "not" : {
 "TaxonKey" : [
 "is Chordata"
 ]
 }
 }
 ]
}

 The dataset includes 4950 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004336-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.28180706
title: Supporting data for “Financialization and the City: Rethinking the Role of Real Estate Investment Trusts in Singapore and Hong Kong’s Urban Transformation”

description: This PhD thesis investigates the development of real estate investment trusts (REITs) in Singapore and Hong Kong from the perspective of critical urban theory. REITs are understood as a representative form of financialization, a process in which the urban built environment is transformed into financial assets. This research follows a qualitative methodology, including fieldwork in Singapore and Hong Kong. Fieldwork for this research includes semi-structured interviews with various professionals to explore their expertise and perspectives on the development of REITs. The interviews aim to investigate the REIT industry's general landscape and its impact on urban development from the perspectives of different professions. Questions are used to explore the expertise of interviewees, and specific follow-up questions will be asked based on interviewees' contextual answers. <br>
DOI: 10.5517/ccdc.csd.cc2k3j6f
title: CCDC 2356874: Experimental Crystal Structure Determination

description: Related Article: Vijay Babu Pathi, Pranotosh Das, Abhyuday Guin, Manish Debnath, Biswadip Banerji|2024|RSC Med. Chem.|16|429|doi:10.1039/D4MD00614C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k3jgp
title: CCDC 2356882: Experimental Crystal Structure Determination

description: Related Article: Vijay Babu Pathi, Pranotosh Das, Abhyuday Guin, Manish Debnath, Biswadip Banerji|2024|RSC Med. Chem.|16|429|doi:10.1039/D4MD00614C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k3jks
title: CCDC 2356885: Experimental Crystal Structure Determination

description: Related Article: Vijay Babu Pathi, Pranotosh Das, Abhyuday Guin, Manish Debnath, Biswadip Banerji|2024|RSC Med. Chem.|16|429|doi:10.1039/D4MD00614C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k3jrz
title: CCDC 2356891: Experimental Crystal Structure Determination

description: Related Article: Vijay Babu Pathi, Pranotosh Das, Abhyuday Guin, Manish Debnath, Biswadip Banerji|2024|RSC Med. Chem.|16|429|doi:10.1039/D4MD00614C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.