cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.l1c6yu
title: Occurrence Download

description: A dataset containing 53606 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rattus norvegicus (Berkenhout, 1769)"
 ]
}

 The dataset includes 53606 records from 314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005609-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebnt1k
title: Occurrence Download

description: A dataset containing 1117 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Ursus maritimus Phipps, 1774",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1117 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020453-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvtp2d
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copaifera pubiflora Benth."
 ]
}

 The dataset includes 147 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064358-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhbgzb
title: Occurrence Download

description: A dataset containing 4427 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Otaria flavescens (Shaw, 1800)",
 "TaxonKey is Monodon monoceros Linnaeus, 1758"
 ]
}

 The dataset includes 4427 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025651-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111321008
title: Cuneiform Tablet 000227, CUN.000227

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions 000227 ❧ [Text or Publication Number Note:] CUN.000227 ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.f9xtub
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Adiantum andicola Liebm."
 ]
}

 The dataset includes 165 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064013-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111321252
title: Cuneiform Tablet 000227, CUN.000227

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions 000227 ❧ [Text or Publication Number Note:] CUN.000227 ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.arfhnw
title: Occurrence Download

description: A dataset containing 6397355 species occurrences available in GBIF matching the query:
{
 "or" : [
 "Country is Thailand",
 "Country is Brunei Darussalam",
 "Country is Cambodia",
 "Country is Indonesia",
 "Country is Lao People’s Democratic Republic",
 "Country is Myanmar",
 "Country is Malaysia",
 "Country is Philippines",
 "Country is Singapore",
 "Country is Viet Nam"
 ]
}

 The dataset includes 6397355 records from 1861 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007188-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj26yf
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solidago sphacelata Raf.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 26 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161825-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxh454
title: Occurrence Download

description: A dataset containing 1191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia pinnata (Walter) Britton",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 1191 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174286-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swvddz
title: Occurrence Download

description: A dataset listing the 1308811496 species recorded in GBIF matching the query:
{ }

 The dataset's 1308811496 records were derived from 24165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029176-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yf3ucm
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium vavilovii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 271 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004871-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14472406
title: acantholiparis_opercularis_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472407
title: acantholiparis_opercularis_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472438
title: liparis_florae_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472439
title: liparis_florae_spades_01.fasta.gz
DOI: 10.5281/zenodo.14390947
title: Empowering SMEs with AI: From Data to Dynamic Efficiency in Information System

description: The growing integration of Artificial Intelligence (AI) across various sectors and facets of life is the primary inspiration for this research. In response to competitive demands, small and medium-sized enterprises (SMEs) are increasingly driven to improve operational efficiency and productivity. This study explores how key factors—such as perceived relative advantage, organizational support, compatibility, and competitive pressure—influence SMEs’ adoption of AI and overall performance. The research employs the Structural Equation Model (SEM), a robust statistical tool, to assess these relationships. Partial Least Squares (PLS) methods were utilized to test the proposed hypotheses, and purposive sampling was conducted to ensure relevant data collection. The study focuses on the JABODETABEK region in Indonesia, gathering responses from 120 SME owners or managers. Data collection took place on May 27, 2024. The findings reveal that four of the six hypotheses significantly affect AI adoption. At the same time, two have a more limited impact, offering valuable insights into the factors driving AI integration in SMEs.

Keywords—Artificial intelligence, SME performance, information systems, efficiency, transforming
DOI: 10.5281/zenodo.14390948
title: Empowering SMEs with AI: From Data to Dynamic Efficiency in Information System

description: The growing integration of Artificial Intelligence (AI) across various sectors and facets of life is the primary inspiration for this research. In response to competitive demands, small and medium-sized enterprises (SMEs) are increasingly driven to improve operational efficiency and productivity. This study explores how key factors—such as perceived relative advantage, organizational support, compatibility, and competitive pressure—influence SMEs’ adoption of AI and overall performance. The research employs the Structural Equation Model (SEM), a robust statistical tool, to assess these relationships. Partial Least Squares (PLS) methods were utilized to test the proposed hypotheses, and purposive sampling was conducted to ensure relevant data collection. The study focuses on the JABODETABEK region in Indonesia, gathering responses from 120 SME owners or managers. Data collection took place on May 27, 2024. The findings reveal that four of the six hypotheses significantly affect AI adoption. At the same time, two have a more limited impact, offering valuable insights into the factors driving AI integration in SMEs.

Keywords—Artificial intelligence, SME performance, information systems, efficiency, transforming
DOI: 10.34740/kaggle/dsv/10198702
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.y92yw2
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthonomus grandis Boheman, 1843",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 952 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034333-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.meythe
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Burkina Faso",
 "TaxonKey is Cordyla pinnata (A.Rich.) Milne-Redh."
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034335-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e213401
title: Learning Effectiveness and Participation of College Students: A Comparative Study of Blended and Traditional Piano Teaching Methods

description: The purpose of this study is to compare the effects of hybrid and traditional teaching methods on college students' piano learning effectiveness and participation across varying durations. Methods: A random grouping method was employed to assign participants into an experimental group (EG) and a control group (CG). Participants were evaluated using the Music Skills Assessment Scale (MSAS), Musical Expressiveness Assessment Scale (MEAS), Student Satisfaction Inventory (SSI), and Student Engagement Scale (SELS), along with test scores to assess piano learning outcomes. Results: The EG demonstrated significantly better outcomes than the CG (P &lt; 0.05), with the following results: MSAS (M±SD: 6.29±0.86 vs. 3.31±0.47, t = 15.03, 95% CI = [2.58, 3.37]), MEAS (M±SD: 19.28±0.54 vs. 12.12±1.23, t = 11.06, 95% CI = [4.35, 6.28]), SSI (M±SD: 19.16±1.93 vs. 12.40±1.32, t = 21.49, 95% CI = [6.12, 7.39]), and SELS (M±SD: 39.56±2.36 vs. 32.96±1.39, t = 12.01, 95% CI = [5.49, 7.70]). Regarding the main and interaction effects, the blended teaching method was significantly more effective than the traditional teaching method. Additionally, the interaction between teaching method and duration had a moderating effect on performance improvement (M±SD: 86.22±0.74, F: 30.608, η²ₚ: 0.38, 95% CI = [84.73, 87.71], P &lt; 0.05). Conclusion: Compared to the traditional teaching method, the hybrid piano teaching approach significantly enhances the learning outcomes and participation of college students over various durations, particularly showing greater advantages in the later stages.
DOI: 10.3886/e213401v1
title: Learning Effectiveness and Participation of College Students: A Comparative Study of Blended and Traditional Piano Teaching Methods

description: The purpose of this study is to compare the effects of hybrid and traditional teaching methods on college students' piano learning effectiveness and participation across varying durations. Methods: A random grouping method was employed to assign participants into an experimental group (EG) and a control group (CG). Participants were evaluated using the Music Skills Assessment Scale (MSAS), Musical Expressiveness Assessment Scale (MEAS), Student Satisfaction Inventory (SSI), and Student Engagement Scale (SELS), along with test scores to assess piano learning outcomes. Results: The EG demonstrated significantly better outcomes than the CG (P &lt; 0.05), with the following results: MSAS (M±SD: 6.29±0.86 vs. 3.31±0.47, t = 15.03, 95% CI = [2.58, 3.37]), MEAS (M±SD: 19.28±0.54 vs. 12.12±1.23, t = 11.06, 95% CI = [4.35, 6.28]), SSI (M±SD: 19.16±1.93 vs. 12.40±1.32, t = 21.49, 95% CI = [6.12, 7.39]), and SELS (M±SD: 39.56±2.36 vs. 32.96±1.39, t = 12.01, 95% CI = [5.49, 7.70]). Regarding the main and interaction effects, the blended teaching method was significantly more effective than the traditional teaching method. Additionally, the interaction between teaching method and duration had a moderating effect on performance improvement (M±SD: 86.22±0.74, F: 30.608, η²ₚ: 0.38, 95% CI = [84.73, 87.71], P &lt; 0.05). Conclusion: Compared to the traditional teaching method, the hybrid piano teaching approach significantly enhances the learning outcomes and participation of college students over various durations, particularly showing greater advantages in the later stages.
DOI: 10.5281/zenodo.14472464
title: careproctus_bowersianus_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472465
title: careproctus_bowersianus_spades_01.fasta.gz
DOI: 10.15468/dl.r64yyk
title: Occurrence Download

description: A dataset containing 39671 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cossus cossus Linnaeus, 1758"
 ]
}

 The dataset includes 39671 records from 462 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034334-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14472490
title: paraliparis_mento_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472491
title: paraliparis_mento_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472514
title: allocareproctus_unangas_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472515
title: allocareproctus_unangas_spades_01.fasta.gz
DOI: 10.15468/dl.p98248
title: Occurrence Download

description: A dataset listing the 172 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.77721 38.87791,-8.83924 38.82591,-8.81415 38.80294,-8.74196 38.82987,-8.70028 38.83146,-8.70163 38.84967,-8.6813 38.85944,-8.74163 38.918,-8.76637 38.92828,-8.77755 38.92486,-8.75518 38.88213,-8.77247 38.88266,-8.77247 38.88266,-8.77721 38.87791))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 172 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034332-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10198754
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.4ckryg
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (September, August)",
 "OccurrenceStatus is Present",
 "TaxonKey is Elephantidae",
 "Year 2024-2024"
 ]
}

 The dataset includes 561 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034337-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14472539
title: allocareproctus_tanix_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472540
title: allocareproctus_tanix_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472484
title: From Mirrors to Mindsets: The Chain Reaction of Social Media, Body Shame, and Body Image Perceptions

description: This research found the problem that social media body shaming has an impact on people's views, judgments, and knowledge about appearances. To understand the impact of social media body shaming, this research aims to provide understanding to the public regarding the psychological, emotional, and social impacts of body shaming. Using a purposive sampling method, at May 2024 a data was collected through a survey of 405 respondents within the age of 13-54 at Jabodetabek using Google Forms. The data was then analyzed using SEM to identify body shaming and its impacts. The outcomes of this study show that body shaming on social media has an effect on and influences self-esteem, mental health, and body image. Apart from that, this research also emphasizes increasing public education and implementing support measures to reduce the negative impact of body shaming. This research has an important role and social media policy in addressing and combating body shame to create a healthier and more supportive online environment. 

-keywords: body shaming, social media, body image concern, body appreciation, body ideal
DOI: 10.5281/zenodo.14472485
title: From Mirrors to Mindsets: The Chain Reaction of Social Media, Body Shame, and Body Image Perceptions

description: This research found the problem that social media body shaming has an impact on people's views, judgments, and knowledge about appearances. To understand the impact of social media body shaming, this research aims to provide understanding to the public regarding the psychological, emotional, and social impacts of body shaming. Using a purposive sampling method, at May 2024 a data was collected through a survey of 405 respondents within the age of 13-54 at Jabodetabek using Google Forms. The data was then analyzed using SEM to identify body shaming and its impacts. The outcomes of this study show that body shaming on social media has an effect on and influences self-esteem, mental health, and body image. Apart from that, this research also emphasizes increasing public education and implementing support measures to reduce the negative impact of body shaming. This research has an important role and social media policy in addressing and combating body shame to create a healthier and more supportive online environment. 

-keywords: body shaming, social media, body image concern, body appreciation, body ideal
DOI: 10.15468/dl.69hrru
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is one of (Senegal, Mali, Benin, Nigeria, Guinea-Bissau, Côte d’Ivoire, Gambia, Guinea)",
 "TaxonKey is Cordyla pinnata (A.Rich.) Milne-Redh."
 ]
}

 The dataset includes 638 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034338-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7pu8z
title: Occurrence Download

description: A dataset containing 225660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apis mellifera Linnaeus, 1758",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 225660 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034336-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.3506288
title: Estimation of Annual Runoff in Indravati Sub Basin of Godavari River using Statistical Approach

description: <b><i>Prediction
of runoff from known rainfall is one of the major problems confronted by hydrologists.
There is lack of availability of long period runoff records in large number of
catchments in India. Investigators have proposed many empirical relationships
for runoff estimation in different catchments based on limited data of
parameters affecting runoff. These regional relationships are useful in
planning of water resource projects. This study was carried out to obtain
simple yet effective relationship for estimation of annual runoff in Indravati
sub basin of Godavari river. Regression analysis was carried out using annual
rainfall, annual runoff and average annual temperature data to develop
empirical models for annual runoff estimation. GIS software was used for
preparing maps for the study area and to extract the precipitation and temperature
data available in grid format from IMD. The best suited empirical model is then
selected as per statistical criteria with lower values of standard error,
standard deviation, mean absolute deviation (MAD), root mean square error
(RMSE) and higher values of R square and correlation coefficient.  Statistical significance of selected empirical
model was evaluated by paired t test, F test and P value at 95 % confidence
level. The developed relationship is then compared with the existing Khosla and
Inglis and DeSouza relationships. Outcome of this comparison produces
encouraging inferences to suggest an effective regional relationship for annual
runoff estimation in the Indravati sub basin of Godavari river in India.</i></b>