cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3gh64a
title: Occurrence Download

description: A dataset containing 22488 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Happywhale - Humpback whale in South Pacific Ocean"
 ]
}

 The dataset includes 22488 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040487-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8yufk
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stipa capillacea Keng",
 "Year 1970-2024"
 ]
}

 The dataset includes 290 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040488-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11084979
title: Supplementary to "Polynomial modelling of high-quality yet incomplete rare earth element data sets and a holistic assessment of REE anomalies"

description: This repository contains supplementary data and the Python scripts used in the journal article:

Ernst, D.M., Bau, M., Vogt, J. & Mues, M. Polynomial modelling of high-quality yet incomplete rare earth element data sets and a holistic assessment of REE anomalies. Nature Scientific Reports.
DOI: 10.5281/zenodo.11084980
title: Supplementary to "Polynomial modelling of high-quality yet incomplete rare earth element data sets and a holistic assessment of REE anomalies"

description: This repository contains supplementary data and the Python scripts used in the journal article:

Ernst, D.M., Bau, M., Vogt, J. & Mues, M. Polynomial modelling of high-quality yet incomplete rare earth element data sets and a holistic assessment of REE anomalies. Nature Scientific Reports.
DOI: 10.5281/zenodo.13888774
title: This is a test upload
DOI: 10.34740/kaggle/dsv/9544515
title: Contrastive Language Image Pretraining by openai
DOI: 10.15468/dl.q3994k
title: Occurrence Download

description: A dataset containing 9854 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agaricus arvensis Schaeff."
 ]
}

 The dataset includes 9854 records from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040490-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afrgzu
title: Occurrence Download

description: A dataset containing 1164746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Caracara plancus (J.F.Miller, 1777)"
 ]
}

 The dataset includes 1164746 records from 350 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040489-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22zd49
title: Occurrence Download

description: A dataset containing 8374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum sisymbriifolium Lam."
 ]
}

 The dataset includes 8374 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040491-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13888827
title: Data ICSEEIS_paper 2
DOI: 10.5281/zenodo.13888828
title: Data ICSEEIS_paper 2
DOI: 10.5281/zenodo.13888838
title: Coding table
DOI: 10.5281/zenodo.13888839
title: Coding table
DOI: 10.5281/zenodo.13888844
title: Impact of Psychological Capital on University Lecturers' Job Performance: The Mediating Effect of Organizational Commitment
DOI: 10.5281/zenodo.13888845
title: Impact of Psychological Capital on University Lecturers' Job Performance: The Mediating Effect of Organizational Commitment
DOI: 10.6084/m9.figshare.22507342
title: BernBasel2021WDP data

description: The Study "Continuous timely monitoring of core temperature with two wearable devices in pediatric patients undergoing chemotherapy for cancer - a comparison study" (NCT04914702) recruited patients from September 2021 to March 2022 in two Swiss university-based pediatric hematology/oncology centers: Pediatric Hematology/Oncology, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Switzerland and the Department of Pediatric Oncology and Hematology, University Children's Hospital Basel (UKBB), University of Basel, Switzerland.Two different wearable devices (WDs), the CORE® and the Everion®, recorded several vital signs, calculated scores and quality scores. The CORE® recorded core temperature and a corresponding quality score on 4945 of 6720 study hours in 18 of 20 participating patients. The Everion® recorded 18 vital signs and calculated scores, plus six quality scores on 5360 hours in 19 of 20 participating patients. The study period was 14 days for each patient.In addition, non-WD data like side effects, user-friendliness, preference of the different WDs, reasons not to wear a WD, patient and parent satisfaction, effort for the investigators and discrete measurements was collected.Eighteen files, one per patient, contain the WD data of the CORE®. A Readme file for the Core® data explains all the variables.Nineteen files, one per patient, contain the WD data of the Everion®. A Readme file for the Everion® data explains all the variables.One file contains all the non-WD data of all 20 patients on study administration, follow-up and outcomes of the daily CRFs. Another Readme file explains all the variables.One additional file contains the R-script used to download and transform the WD data.
DOI: 10.5281/zenodo.13822772
title: Data-driven Soil Moisture Sensing with mmWave Radar In Environment 1

description: This is a millimeter-wave radar soil moisture dataset, which includes soil samples with 20 different moisture levels, ranging from 6.20% to 43.82% with approximately 2% intervals. In the bin file names, the first number after "data" represents the soil moisture level, labeled as 1 to 20, with moisture levels of 6.20%, 8.30%, 10.80%, 12.60%, 14.44%, 16.14%, 18.96%, 19.70%, 23.34%, 25.24%, 26.24%, 28.90%, 31.10%, 32.46%, 33.80%, 36.44%, 38.20%, 40.56%, 42.68%, and 43.82%, respectively.In the bin file names, the second number after "data" represents the height of the radar development board above the soil surface, measured in centimeters, specifically 16 cm, 20 cm, and 24 cm. The data was collected using the IWR1843 radar board, with 1 transmitting antenna and 4 receiving antennas. Each bin file contains 128 radar frames, with each frame consisting of 32 chirps, and each chirp containing 384 sampling points.
DOI: 10.5281/zenodo.13822773
title: Data-driven Soil Moisture Sensing with mmWave Radar In Environment 1

description: This is a millimeter-wave radar soil moisture dataset, which includes soil samples with 20 different moisture levels, ranging from 6.20% to 43.82% with approximately 2% intervals. In the bin file names, the first number after "data" represents the soil moisture level, labeled as 1 to 20, with moisture levels of 6.20%, 8.30%, 10.80%, 12.60%, 14.44%, 16.14%, 18.96%, 19.70%, 23.34%, 25.24%, 26.24%, 28.90%, 31.10%, 32.46%, 33.80%, 36.44%, 38.20%, 40.56%, 42.68%, and 43.82%, respectively.In the bin file names, the second number after "data" represents the height of the radar development board above the soil surface, measured in centimeters, specifically 16 cm, 20 cm, and 24 cm. The data was collected using the IWR1843 radar board, with 1 transmitting antenna and 4 receiving antennas. Each bin file contains 128 radar frames, with each frame consisting of 32 chirps, and each chirp containing 384 sampling points.
DOI: 10.25901/781k-at08
title: Litchfield Flux Data Release 2024_v2
DOI: 10.15468/dl.7ezwx9
title: Occurrence Download

description: A dataset containing 13125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Milvago chimachima (Vieillot, 1816)"
 ]
}

 The dataset includes 13125 records from 402 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040492-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9ybae
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Eugenia prasina O.Berg, Eugenia stictosepala Kiaersk., Eugenia jurujubensis Kiaersk., Eugenia prasina var. grandifolia Huber, Eugenia tenuifolia O.Berg, Eugenia tenuifolia var. axillaris O.Berg, Eugenia tenuifolia var. laterifolia O.Berg, Eugenia tenuifolia var. lateriflora O.Berg)"
 ]
}

 The dataset includes 1246 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005963-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxx82k
title: Occurrence Download

description: A dataset containing 629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Artibeus fraterculus Anthony, 1924"
 ]
}

 The dataset includes 629 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005964-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8eah85
title: Occurrence Download

description: A dataset containing 1328 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Eugenia pluriflora DC., Eugenia bresolinii D.Legrand, Eugenia osoriana Mattos & D.Legrand, Eugenia pluriflora var. opaca O.Berg, Eugenia pluriflora var. perforata O.Berg)"
 ]
}

 The dataset includes 1328 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005965-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11531132
title: Web-based Editor for Entity-Relationship Modeling with SQL Transformation Algorithm

description: With the daily growth of data in all kinds of sectors, such as Information Technologies (IT), healthcare, education, commerce or telecommunication, it becomes important to use a high-performance system to manage all this data in the best possible way. Indeed, in the absence of good data management, it can be difficult for these sectors to prevent data loss, ensure safe maintenance or guarantee data security. For this reason, an effective data management system is the Entity-Relationship model. Indeed, thanks to this model, all kinds of sectors have the possibility of designing and organizing their data in relational databases, thus improving data security and better internal communication. Furthermore, it is interesting to modernize the classic approach of the Entity-Relationship model and its visual representations of data in the present day. The technologies of Augmented and Virtual Reality respond precisely to this challenge of innovation in the Entity-Relationship model. Therefore, the first objective of this thesis is to implement the Entity-Relationship model in a Meta-Modeling Platform for Augmented and Virtual Reality. The second objective is to implement an algorithm that transforms an Entity-Relationship model into SQL statements to create database tables. The Entity-Relationship model is used to design the logic of a database, and the implementation of the algorithm is used to create the database.
DOI: 10.5281/zenodo.12600841
title: Web-based Editor for Entity-Relationship Modeling with SQL Transformation Algorithm

description: With the daily growth of data in all kinds of sectors, such as Information Technologies (IT), healthcare, education, commerce or telecommunication, it becomes important to use a high-performance system to manage all this data in the best possible way. Indeed, in the absence of good data management, it can be difficult for these sectors to prevent data loss, ensure safe maintenance or guarantee data security. For this reason, an effective data management system is the Entity-Relationship model. Indeed, thanks to this model, all kinds of sectors have the possibility of designing and organizing their data in relational databases, thus improving data security and better internal communication. Furthermore, it is interesting to modernize the classic approach of the Entity-Relationship model and its visual representations of data in the present day. The technologies of Augmented and Virtual Reality respond precisely to this challenge of innovation in the Entity-Relationship model. Therefore, the first objective of this thesis is to implement the Entity-Relationship model in a Meta-Modeling Platform for Augmented and Virtual Reality. The second objective is to implement an algorithm that transforms an Entity-Relationship model into SQL statements to create database tables. The Entity-Relationship model is used to design the logic of a database, and the implementation of the algorithm is used to create the database.
DOI: 10.5281/zenodo.11531131
title: Web-based Editor for Entity-Relationship Modeling with SQL Transformation Algorithm

description: With the daily growth of data in all kinds of sectors, such as Information Technologies (IT), healthcare, education, commerce or telecommunication, it becomes important to use a high-performance system to manage all this data in the best possible way. Indeed, in the absence of good data management, it can be difficult for these sectors to prevent data loss, ensure safe maintenance or guarantee data security. For this reason, an effective data management system is the Entity-Relationship model. Indeed, thanks to this model, all kinds of sectors have the possibility of designing and organizing their data in relational databases, thus improving data security and better internal communication. Furthermore, it is interesting to modernize the classic approach of the Entity-Relationship model and its visual representations of data in the present day. The technologies of Augmented and Virtual Reality respond precisely to this challenge of innovation in the Entity-Relationship model. Therefore, the first objective of this thesis is to implement the Entity-Relationship model in a Meta-Modeling Platform for Augmented and Virtual Reality. The second objective is to implement an algorithm that transforms an Entity-Relationship model into SQL statements to create database tables. The Entity-Relationship model is used to design the logic of a database, and the implementation of the algorithm is used to create the database.
DOI: 10.5281/zenodo.12518687
title: Web-based Editor for Entity-Relationship Modeling with SQL Transformation Algorithm

description: With the daily growth of data in all kinds of sectors, such as Information Technologies (IT), healthcare, education, commerce or telecommunication, it becomes important to use a high-performance system to manage all this data in the best possible way. Indeed, in the absence of good data management, it can be difficult for these sectors to prevent data loss, ensure safe maintenance or guarantee data security. For this reason, an effective data management system is the Entity-Relationship model. Indeed, thanks to this model, all kinds of sectors have the possibility of designing and organizing their data in relational databases, thus improving data security and better internal communication. Furthermore, it is interesting to modernize the classic approach of the Entity-Relationship model and its visual representations of data in the present day. The technologies of Augmented and Virtual Reality respond precisely to this challenge of innovation in the Entity-Relationship model. Therefore, the first objective of this thesis is to implement the Entity-Relationship model in a Meta-Modeling Platform for Augmented and Virtual Reality. The second objective is to implement an algorithm that transforms an Entity-Relationship model into SQL statements to create database tables. The Entity-Relationship model is used to design the logic of a database, and the implementation of the algorithm is used to create the database.
DOI: 10.5281/zenodo.12601027
title: Web-based Editor for Entity-Relationship Modeling with SQL Transformation Algorithm

description: With the daily growth of data in all kinds of sectors, such as Information Technologies (IT), healthcare, education, commerce or telecommunication, it becomes important to use a high-performance system to manage all this data in the best possible way. Indeed, in the absence of good data management, it can be difficult for these sectors to prevent data loss, ensure safe maintenance or guarantee data security. For this reason, an effective data management system is the Entity-Relationship model. Indeed, thanks to this model, all kinds of sectors have the possibility of designing and organizing their data in relational databases, thus improving data security and better internal communication. Furthermore, it is interesting to modernize the classic approach of the Entity-Relationship model and its visual representations of data in the present day. The technologies of Augmented and Virtual Reality respond precisely to this challenge of innovation in the Entity-Relationship model. Therefore, the first objective of this thesis is to implement the Entity-Relationship model in a Meta-Modeling Platform for Augmented and Virtual Reality. The second objective is to implement an algorithm that transforms an Entity-Relationship model into SQL statements to create database tables. The Entity-Relationship model is used to design the logic of a database, and the implementation of the algorithm is used to create the database.
DOI: 10.15468/dl.ynvgry
title: Occurrence Download

description: A dataset containing 1177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Eugenia pseudopsidium Jacq., Eugenia compta Rich. ex O.Berg, Eugenia cryptadena Amshoff, Eugenia portoricensis DC., Eugenia portoricensis var. brevipes DC., Eugenia prieurii O.Berg, Eugenia prieurii var. robusta O.Berg, Eugenia prieurii var. tenuiramis O.Berg, Eugenia pseudopsidium var. portoricensis (DC.) Krug & Urb., Eugenia psidioides DC., Myrtus pseudopsidium (Jacq.) Spreng., Stenocalyx portoricensis (DC.) O.Berg, Stenocalyx pseudopsidium (Jacq.) O.Berg)"
 ]
}

 The dataset includes 1177 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005966-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qbhpm
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Semnopithecus hector (Pocock, 1928)",
 "Year 1970-2024"
 ]
}

 The dataset includes 132 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005967-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n39grt
title: Occurrence Download

description: A dataset containing 838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Artibeus lituratus (Olfers, 1818)"
 ]
}

 The dataset includes 838 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005969-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gr3xy2
title: Occurrence Download

description: A dataset containing 5419 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Campomanesia xanthocarpa (Mart.) O.Berg, Campomanesia rhombea O.Berg, Eugenia variabilis Baill., Campomanesia crenata O.Berg, Campomanesia dusenii Kausel, Campomanesia malifolia O.Berg, Campomanesia rhombea var. grandifolia O.Berg, Campomanesia rhombea var. kleinii D.Legrand, Campomanesia rhombea var. parvifolia O.Berg, Campomanesia xanthocarpa var. malifolia (O.Berg) D.Legrand, Psidium malifolium F.Muell.)"
 ]
}

 The dataset includes 5419 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005968-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2r7qw
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Artibeus obscurus (Schinz, 1821)"
 ]
}

 The dataset includes 253 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005970-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsxunr
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Myrcia gigas Mc Vaugh)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005971-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6yyqz
title: Occurrence Download

description: A dataset containing 468 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Myrcia magnoliifolia DC., Myrcia magnoliifolia var. angustifolia O.Berg, Myrcia magnoliifolia var. latifolia O.Berg, Myrcia magnoliifolia var. parvifolia O.Berg, Myrcia magnoliaefolia DC., Myrcia magnoliaefolia var. angustifolia DC., Myrcia magnoliaefolia var. genuina DC., Myrcia magnoliaefolia var. latifolia DC., Myrcia magnoliaefolia var. parvifolia DC.)"
 ]
}

 The dataset includes 468 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005972-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2k6y7z
title: CCDC 2360161: Experimental Crystal Structure Determination

description: Related Article: T. Pickl, J. Zuber, J. Stephan, A. Pöthig|2024|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|80|278|doi:10.1107/S2053229624005230
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.