cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/cnf0o0
title: F439000301_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/hcry7x
title: F421000200_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/idisho
title: F619000101_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/msywgv
title: F448000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/v9rcay
title: F358000000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/z15xl3
title: F464000000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/7oorln
title: F330021000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/fmcnmu
title: F448060000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/gc4hky
title: F465042000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/gh9dyz
title: F611000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/gwsbc3
title: F060001000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/p5auev
title: F613000102_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/r1xkqs
title: F607060000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/wknkwv
title: F323000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/ciiudr
title: F301020000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/eqh8ft
title: F700000103_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/hsgfoo
title: F456042001_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/ojrqfj
title: F230200000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/ppwnfq
title: F461040000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/vevm1c
title: F609000300_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/bmoftt
title: F482000000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/cjhedd
title: F608000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/penhrv
title: F516000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/pyw5w1
title: F589040000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/tt37pr
title: F702000101_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/xt00ct
title: F240000106_incertitude_datasheet.pdf

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

description: A dataset containing 3850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sonneratia L.f.",
 "Year 1950-2024"
 ]
}

 The dataset includes 3850 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013790-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/9qvgdk
title: F428000201_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/io61xr
title: F357000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/jfi62o
title: F446040000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/mvt35d
title: F429000101_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/pky1mx
title: F562000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/sa8z0q
title: F241040000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/tmyo7k
title: F461000102_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/yq82zt
title: F010000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/czv9jd
title: F413000101_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/dgbwi2
title: F312000201_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/eu2wnp
title: F344000200_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/kdc2ov
title: F521000201_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/paihyl
title: F156000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/sxv6r1
title: F477000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/ytaluy
title: F483000201_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/cbolwf
title: F420000101_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/egi2qh
title: F314060000_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/ga2k8l
title: F352000201_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/jwf5w1
title: F609000200_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/u9lhws
title: F341000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/vq0gz2
title: F447000101_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/xtowzt
title: F471000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/0liezo
title: F643000101_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/1tzpuq
title: F421000501_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/ilevz1
title: F466000101_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/jn0xe3
title: F438000101_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/owjsbi
title: F041000201_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/sew8d7
title: F358000402_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/uo2lbg
title: F490000100_incertitude_datasheet.pdf

description: :unav
DOI: 10.57745/w0zv3e
title: F641000100_incertitude_datasheet.pdf

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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia desertorum Hustedt, 1949",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061700-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ddaz5b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia desertorum Hustedt, 1949",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061701-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gz74s8
title: Occurrence Download

description: A dataset containing 1144056 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Benin"
 ]
}

 The dataset includes 1144056 records from 537 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061694-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xg4daw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia desertorum Hustedt, 1949",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061702-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29375798
title: RESPONS PENGUNJUNG IMMERSIFA DI MUSEUM WAYANG

description: Museums have preserved and presented historical stories with artifacts and exhibitions. Visitors visit the museums to learn about history and culture. However, in normal cases, museums will be visited once, and Interest wanes after that. The interest in visiting Wayang Museum is limited to those who appreciate culture and art, and the number of visitors has declined over time, mainly due to historic preservation and values, and the accessibility of information.   In this era of technology, museums have adopted Immersive Technology to increase visitors’ experience and thus increase the number of visitors.  In this paper, we will analyze the use of Immersive Technology in Jakarta’s Wayang Museum and how it can be improved to boost the number of visitors. The method used in this research is qualitative research, with the primary data collected via interviews with visitors in the Wayang museum. We also conducted an organized interview with the management of the Wayang museum. Time is spent at the museum observing the visitors directly. Secondary data is collected through social media and literature review. The results show that immersive technology such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) used in the Wayang museum attracts people to visit the Wayang Museum, thus promoting Visitors’ experience. The information is conveyed through social media to provide visitors’ awareness with regard to immersive technology solutions. The recommendation to leverage visitor experience is to communicate through various social media and ensure the technology is utilized optimally. This research proposes a model for a sustainable immersive solution for the Wayang Museum. Future work includes the integration of AR, VR, MR, and holograms to educate visitors on Wayang.
DOI: 10.6084/m9.figshare.29375798.v1
title: RESPONS PENGUNJUNG IMMERSIFA DI MUSEUM WAYANG

description: Museums have preserved and presented historical stories with artifacts and exhibitions. Visitors visit the museums to learn about history and culture. However, in normal cases, museums will be visited once, and Interest wanes after that. The interest in visiting Wayang Museum is limited to those who appreciate culture and art, and the number of visitors has declined over time, mainly due to historic preservation and values, and the accessibility of information.   In this era of technology, museums have adopted Immersive Technology to increase visitors’ experience and thus increase the number of visitors.  In this paper, we will analyze the use of Immersive Technology in Jakarta’s Wayang Museum and how it can be improved to boost the number of visitors. The method used in this research is qualitative research, with the primary data collected via interviews with visitors in the Wayang museum. We also conducted an organized interview with the management of the Wayang museum. Time is spent at the museum observing the visitors directly. Secondary data is collected through social media and literature review. The results show that immersive technology such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) used in the Wayang museum attracts people to visit the Wayang Museum, thus promoting Visitors’ experience. The information is conveyed through social media to provide visitors’ awareness with regard to immersive technology solutions. The recommendation to leverage visitor experience is to communicate through various social media and ensure the technology is utilized optimally. This research proposes a model for a sustainable immersive solution for the Wayang Museum. Future work includes the integration of AR, VR, MR, and holograms to educate visitors on Wayang.
DOI: 10.15468/dl.k7k7b6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia desertorum Hustedt, 1949",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061703-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzngk7
title: Occurrence Download

description: A dataset containing 1556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cnaphalocrocis medinalis (Guenée, 1854)",
 "Year 2000-2020"
 ]
}

 The dataset includes 1556 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061704-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7ck9x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia desertorum Hustedt, 1949",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061705-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bdj8wk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia desertorum Hustedt, 1949",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061707-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29374151
title: <b>The UK food environment: a systematic review of domains, methodologies and outcomes</b>

description: Understanding food environments is crucial for developing policies and interventions to enhance the healthfulness and sustainability of UK diets. We systematically reviewed published scientific research to answer two research questions. First, what types and domains of the food environment have been assessed in the UK using what methodologies? Domains included availability, affordability, promotion, product characteristics/quality, convenience, and sustainability. Second, what outcomes have been assessed in relation to food environments? Outcomes were classified as descriptive (describing the food environment), dietary intake, and health. Articles published between January 2000 and December 2024 were identified by searching seven databases: CAB Abstracts, CINAHL, EMBASE, Global Health, PubMed, Scopus, and Web of Science. A total of 31,457 articles were identified, 3,418 full texts were reviewed, and 286 articles were included. Another 26 articles were included after screening the references of articles identified in the database search. Thus, data were extracted from a total of 312 articles. The most common domain studied was availability (n=100, 32%), followed by product characteristics/quality (n=94, 30%) and promotion (n=33, 10%). There was a paucity of research on the domains of sustainability (n=19, 6%) and affordability (n=16, 5%), with no articles on the domain of convenience.<b> </b>Only 49 articles (16%) evaluated more than one domain. Most articles were descriptive (n=206, 66%); 64 (20%) evaluated the association of the food environment with dietary intake and 42 (13%) evaluated the association with health, nearly all with obesity.Though several recent government initiatives aim to improve the healthfulness of food environments in the UK, more research is needed to understand how different domains of the food environment interact to influence dietary intakes and overall health.
DOI: 10.6084/m9.figshare.29374151.v1
title: <b>The UK food environment: a systematic review of domains, methodologies and outcomes</b>

description: Understanding food environments is crucial for developing policies and interventions to enhance the healthfulness and sustainability of UK diets. We systematically reviewed published scientific research to answer two research questions. First, what types and domains of the food environment have been assessed in the UK using what methodologies? Domains included availability, affordability, promotion, product characteristics/quality, convenience, and sustainability. Second, what outcomes have been assessed in relation to food environments? Outcomes were classified as descriptive (describing the food environment), dietary intake, and health. Articles published between January 2000 and December 2024 were identified by searching seven databases: CAB Abstracts, CINAHL, EMBASE, Global Health, PubMed, Scopus, and Web of Science. A total of 31,457 articles were identified, 3,418 full texts were reviewed, and 286 articles were included. Another 26 articles were included after screening the references of articles identified in the database search. Thus, data were extracted from a total of 312 articles. The most common domain studied was availability (n=100, 32%), followed by product characteristics/quality (n=94, 30%) and promotion (n=33, 10%). There was a paucity of research on the domains of sustainability (n=19, 6%) and affordability (n=16, 5%), with no articles on the domain of convenience.<b> </b>Only 49 articles (16%) evaluated more than one domain. Most articles were descriptive (n=206, 66%); 64 (20%) evaluated the association of the food environment with dietary intake and 42 (13%) evaluated the association with health, nearly all with obesity.Though several recent government initiatives aim to improve the healthfulness of food environments in the UK, more research is needed to understand how different domains of the food environment interact to influence dietary intakes and overall health.
DOI: 10.15468/dl.x38pzq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia desertorum Hustedt, 1949",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061708-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28742228
title: The root associated microbiome and metabolome vary across the root system of a mature maize plant and are inconsistently altered by microbial treatment during seedling germination.

description: Many microbes provide benefits to their plant hosts. Over 100 microbial-based products are available to farmers, but their performance is highly variable. Little is known about the factors that influence colonization and persistence of microbes across the entire root system architecture despite the importance of these processes on efficacy of microbial-based products. We investigated whether large mesocosms could be used to study 3-dimensional spatial patterning of microbes and correlated metabolites across mature corn root systems. The experimental design consisted of 12 mesocosms structures (1m x 1m x 1.3m), half of which were treated with a synthetic community (SYNCOM) of eighteen different bacterial isolates. While none of the 18 members of the SYNCOM were detected at the end of the experiment, treatment with the SYNCOM caused a long-term shift in the microbiome, specifically at the zones furthest from the original seed. Comparison of replicate samples within and between boxes revealed that most of the highly abundant bacteria were observed by sampling as few as three replicates. However, each box and replicate sample also contained at least a few unique bacteria. The root metabolome was much more consistent across space and unaffected by the SYNCOM treatment, however several individual metabolites were identified that varied based on depth within the boxes. This work establishes the mesocosm system as a viable experimental platform for tracking microbe-metabolite correlations across a root system and confirms the hypothesis that significant variability exists in the root associated microbiome across a full-grown root system.
DOI: 10.6084/m9.figshare.28742228.v1
title: The root associated microbiome and metabolome vary across the root system of a mature maize plant and are inconsistently altered by microbial treatment during seedling germination.

description: Many microbes provide benefits to their plant hosts. Over 100 microbial-based products are available to farmers, but their performance is highly variable. Little is known about the factors that influence colonization and persistence of microbes across the entire root system architecture despite the importance of these processes on efficacy of microbial-based products. We investigated whether large mesocosms could be used to study 3-dimensional spatial patterning of microbes and correlated metabolites across mature corn root systems. The experimental design consisted of 12 mesocosms structures (1m x 1m x 1.3m), half of which were treated with a synthetic community (SYNCOM) of eighteen different bacterial isolates. While none of the 18 members of the SYNCOM were detected at the end of the experiment, treatment with the SYNCOM caused a long-term shift in the microbiome, specifically at the zones furthest from the original seed. Comparison of replicate samples within and between boxes revealed that most of the highly abundant bacteria were observed by sampling as few as three replicates. However, each box and replicate sample also contained at least a few unique bacteria. The root metabolome was much more consistent across space and unaffected by the SYNCOM treatment, however several individual metabolites were identified that varied based on depth within the boxes. This work establishes the mesocosm system as a viable experimental platform for tracking microbe-metabolite correlations across a root system and confirms the hypothesis that significant variability exists in the root associated microbiome across a full-grown root system.