cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34816/efa.archives.1217285
title: Délos-FRV_B22-011-Corniche de pilastre, fragment

description: Référence : FRV_B22-011<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.1217286
title: Délos-FRV_B22-012-Chapiteau corinthien situé à l'extrémité est de l'oikos des Naxiens. 2E 020??

description: Référence : FRV_B22-012<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.1217287
title: Délos-FRV_B22-013-Frise, fragment

description: Référence : FRV_B22-013<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.1217288
title: Délos-FRV_B22-014-Chapiteau ionique, face

description: Référence : FRV_B22-014<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.1217289
title: Délos-FRV_B22-015-Chapiteau ionique, face

description: Référence : FRV_B22-015<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.15468/dl.x4puej
title: Occurrence Download

description: A dataset containing 81679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bombina variegata (Linnaeus, 1758)",
 "Year is greater than or equal to 1975"
 ]
}

 The dataset includes 81679 records from 434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018825-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/efa.archives.1217290
title: Délos-FRV_B22-016-Corniche et sima à palmettes, fragments

description: Référence : FRV_B22-016<br />Publication(s) : Inédit<br />Domaine : Décor architectural<br />
DOI: 10.15468/dl.r6xqrw
title: Occurrence Download

description: A dataset containing 16871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa colonum (L.) Link",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 16871 records from 535 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018851-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hyzz5
title: Occurrence Download

description: A dataset containing 25443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum tuberosum L."
 ]
}

 The dataset includes 25443 records from 484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069656-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2xrj6
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caragana pekinensis Kom."
 ]
}

 The dataset includes 89 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009218-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4fry3
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Namibia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 3ead5cf3-2840-482e-bbd9-76380825be63",
 "TaxonKey is Junonia hierta Fabricius, 1798"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248361-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sp7ted
title: Occurrence Download

description: A dataset containing 64690 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lymantria dispar Linnaeus, 1758"
 ]
}

 The dataset includes 64690 records from 466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243783-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbracq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypericum killipii N.Robson"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250743-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddzcvy
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diadasia opuntiae Cockerell, 1901"
 ]
}

 The dataset includes 570 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009219-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cvqm9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Homalomena cristata Alderw."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248369-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sm5xrq
title: Occurrence Download

description: A dataset containing 5193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lupinus argenteus Pursh)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1943",
 "Year is less than or equal to 2023",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 5193 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243766-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cq8wcj
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypochaeris chondrilloides (A.Gray) Cabrera"
 ]
}

 The dataset includes 192 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251118-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xy68k8
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monochamus saltuarius Gebler, 1830"
 ]
}

 The dataset includes 277 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243784-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sx6zes
title: Occurrence Download

description: A dataset containing 430142 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (putumayo)"
 ]
}

 The dataset includes 430142 records from 340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010718-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2k9c8m
title: Occurrence Download

description: A dataset containing 584 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypericum kamtschaticum Ledeb."
 ]
}

 The dataset includes 584 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250737-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgbuhd
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Homalomena davidiana A.Hay"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248375-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfsqeg
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goliathus goliatus (Linnaeus, 1771)"
 ]
}

 The dataset includes 249 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243756-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nrv9t
title: Occurrence Download

description: A dataset containing 49497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrocystis pyrifera (L.) C.Agardh"
 ]
}

 The dataset includes 49497 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248371-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dswv7x
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurygaster integriceps Puton, 1881"
 ]
}

 The dataset includes 551 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034346-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g6ygz
title: Occurrence Download

description: A dataset listing the 2127 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((121.93272 24.83056,121.97296 24.83056,121.97296 24.85456,121.93272 24.85456,121.93013 24.84791,121.93272 24.83056))"
 ]
}

 The dataset's 2127 records were derived from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034342-241126133413365/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.28001450.v6
title: GBM-Reservoir: Dataset and Segmentations

description: In this repository, we present a brain tumor database collection comprising 23,049 samples, with each sample including four different types of MRI brain scans: FLAIR, T1, T1ce, and T2. Additionally, two segmentation masks (ground truth) are provided for each sample. The first mask is the raw output from the registration process, while the second is a post-processed version of the first, designed to simplify interpretation and optimize it for network training. These samples have been acquired via registration process of 438 samples available at the moment of registration from the original dataset provided by the BraTS 2022 Challenge. Registering each pair of existing brain scans results in two additional scans that retain a similar brain shape while featuring varying tumor locations. Consequently, by registering all possible pairs, a dataset originally consisting of n samples can be expanded to n<sup>2</sup> samples. The original dataset was collected from different institutions under standard clinical conditions, but with different equipment and imaging protocols. As a result, the image quality is heterogeneous, reflecting the diversity of clinical practices across institutions. This dataset can be utilized for various tasks, such as developing fully automated segmentation algorithms for new, unseen brain tumor cases, particularly through deep learning-based approaches, since ground truth is provided for each sample.
DOI: 10.15468/dl.h85jw5
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurygaster integriceps Puton, 1881"
 ]
}

 The dataset's 2 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034345-241126133413365/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.3380983.v1
title: Patient list.xlsx

description: files of post PK infection patients<br>
DOI: 10.6084/m9.figshare.3167962.v2
title: Universality of Causality Principle

description: The causality principle is physically
investigated in the framework of special relativity theory (SRT) and it is
proven to be absolutely valid for subluminal, luminal and superluminal signals under any
natural and/or artificial
circumstances; also Einstein's thought experiment (1907), Tolman's paradox
(1917), tachyonic antitelephone (1970) and Moller's thought experiment (1952) are re<i>-</i>examined in order to show more
conclusively that the so<i>-</i>called causality paradoxes are in fact a pure mental construction resulted from
some too<i>-</i>common misconceptions which mainly spring from the confusion
between the concepts of (relative) velocity and  (relative) speed. Thus, in light of the present work, the old and semi<i>-</i>persistent
concern about causality violation by superluminal signals and its consequences
at micro and macrophysical levels may be conceptually ruled out if one
approaches the physico<i>-</i>mathematical formalism of SRT in an open<i>-</i>minded
way.
DOI: 10.6084/m9.figshare.3380113.v3
title: Datasets

description: These are the multilabel datasets used in the paper "Multilabel Classification with R package mlr".<br>
DOI: 10.6084/m9.figshare.3380137.v4
title: Benchmarking Code and Datasets

description: This is the code, that was used for benchmarking the different multilabel classification algorithms in mlr in the paper<br>"Multilabel Classification with R package mlr". <br><br>Results are also included. <br>
DOI: 10.6084/m9.figshare.3380137.v5
title: Benchmarking Code

description: This is the code, that was used for benchmarking the different multilabel classification algorithms in mlr in the paper<br>"Multilabel Classification with R package mlr". <br><br>Results are also included. <br>
DOI: 10.6084/m9.figshare.3380137.v2
title: Benchmarking Code and Datasets

description: This is the code, that was used for benchmarking the different multilabel classification algorithms in mlr in the paper<br>"Multilabel Classification with R package mlr". <br><br>Results are also included. <br>
DOI: 10.6084/m9.figshare.3380137
title: Benchmarking Code

description: This is the code, that was used for benchmarking the different multilabel classification algorithms in mlr in the paper<br>"Multilabel Classification with R package mlr". <br><br>Results are also included. <br>
DOI: 10.6084/m9.figshare.3380137.v1
title: Benchmarking Code

description: This is the code, that was used for benchmarking the different multilabel classification algorithms in mlr in the paper<br>"Multilabel Classification with R package mlr". <br><br>Results are also included. <br>
DOI: 10.34740/kaggle/dsv/10198964
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.5281/zenodo.14473122
title: Panduan Lengkap Sistem Temujanji Online (STO) untuk Urusan Imigresen

description: Dalam era digital, kemudahan untuk menguruskan pelbagai keperluan secara dalam talian semakin mendapat perhatian. Salah satu perkhidmatan yang memanfaatkan teknologi ini adalah Sistem Temujanji Online (STO), yang memudahkan urusan dengan pihak Imigresen Malaysia. Artikel ini akan membincangkan secara terperinci mengenai STO, cara menggunakannya, dan manfaatnya kepada pengguna.

Apa Itu Sistem Temujanji Online (STO)?

Sistem Temujanji Online (STO) merupakan platform digital yang disediakan oleh Jabatan Imigresen Malaysia untuk memudahkan orang ramai membuat temu janji bagi urusan rasmi seperti permohonan pasport, visa, atau dokumen perjalanan lain. Melalui sistem ini, pengguna dapat memilih tarikh dan masa yang sesuai tanpa perlu beratur panjang di kaunter.

Kelebihan Menggunakan STO





Penjimatan MasaDengan STO, pengguna tidak perlu membuang masa menunggu giliran di pejabat imigresen. Semua temujanji boleh diuruskan secara atas talian.




Urusan Lebih TersusunSistem ini membantu mengelakkan kesesakan di kaunter kerana setiap pengguna mempunyai slot waktu yang ditetapkan.




Mesra PenggunaAntaramuka STO yang mudah digunakan memastikan semua lapisan masyarakat dapat memanfaatkan perkhidmatan ini tanpa sebarang kekeliruan.



Cara Membuat Temujanji Menggunakan STO

Berikut adalah langkah mudah untuk membuat temujanji melalui STO:



Layari laman rasmi Sistem Temujanji Online STO.

Pilih jenis perkhidmatan yang ingin dilakukan, seperti pembaharuan pasport atau permohonan visa.

Isi butiran peribadi anda, termasuk nama, nombor kad pengenalan, dan alamat emel.

Pilih tarikh dan masa yang sesuai.

Cetak pengesahan temujanji untuk dibawa semasa hari yang telah ditetapkan.


Tips Penting untuk Menggunakan STO



Pastikan semua dokumen yang diperlukan disediakan sebelum hari temujanji.

Hadir tepat pada waktu yang dipilih untuk mengelakkan pembatalan slot.

Jika terdapat sebarang masalah, anda boleh menghubungi pihak imigresen melalui saluran rasmi mereka.


Kesimpulan

Sistem Temujanji Online (STO) adalah inisiatif hebat yang memudahkan urusan orang ramai dengan pihak Imigresen Malaysia. Penggunaannya bukan sahaja menjimatkan masa tetapi juga memastikan pengalaman yang lebih efisien dan mesra pengguna. Untuk maklumat lanjut mengenai cara membuat temujanji melalui STO, sila layari Sistem Temujanji Online STO. Jangan lupa juga untuk meneroka laman emasmy.com untuk pelbagai panduan dan informasi menarik.
DOI: 10.5281/zenodo.14473123
title: Panduan Lengkap Sistem Temujanji Online (STO) untuk Urusan Imigresen

description: Dalam era digital, kemudahan untuk menguruskan pelbagai keperluan secara dalam talian semakin mendapat perhatian. Salah satu perkhidmatan yang memanfaatkan teknologi ini adalah Sistem Temujanji Online (STO), yang memudahkan urusan dengan pihak Imigresen Malaysia. Artikel ini akan membincangkan secara terperinci mengenai STO, cara menggunakannya, dan manfaatnya kepada pengguna.

Apa Itu Sistem Temujanji Online (STO)?

Sistem Temujanji Online (STO) merupakan platform digital yang disediakan oleh Jabatan Imigresen Malaysia untuk memudahkan orang ramai membuat temu janji bagi urusan rasmi seperti permohonan pasport, visa, atau dokumen perjalanan lain. Melalui sistem ini, pengguna dapat memilih tarikh dan masa yang sesuai tanpa perlu beratur panjang di kaunter.

Kelebihan Menggunakan STO





Penjimatan MasaDengan STO, pengguna tidak perlu membuang masa menunggu giliran di pejabat imigresen. Semua temujanji boleh diuruskan secara atas talian.




Urusan Lebih TersusunSistem ini membantu mengelakkan kesesakan di kaunter kerana setiap pengguna mempunyai slot waktu yang ditetapkan.




Mesra PenggunaAntaramuka STO yang mudah digunakan memastikan semua lapisan masyarakat dapat memanfaatkan perkhidmatan ini tanpa sebarang kekeliruan.



Cara Membuat Temujanji Menggunakan STO

Berikut adalah langkah mudah untuk membuat temujanji melalui STO:



Layari laman rasmi Sistem Temujanji Online STO.

Pilih jenis perkhidmatan yang ingin dilakukan, seperti pembaharuan pasport atau permohonan visa.

Isi butiran peribadi anda, termasuk nama, nombor kad pengenalan, dan alamat emel.

Pilih tarikh dan masa yang sesuai.

Cetak pengesahan temujanji untuk dibawa semasa hari yang telah ditetapkan.


Tips Penting untuk Menggunakan STO



Pastikan semua dokumen yang diperlukan disediakan sebelum hari temujanji.

Hadir tepat pada waktu yang dipilih untuk mengelakkan pembatalan slot.

Jika terdapat sebarang masalah, anda boleh menghubungi pihak imigresen melalui saluran rasmi mereka.


Kesimpulan

Sistem Temujanji Online (STO) adalah inisiatif hebat yang memudahkan urusan orang ramai dengan pihak Imigresen Malaysia. Penggunaannya bukan sahaja menjimatkan masa tetapi juga memastikan pengalaman yang lebih efisien dan mesra pengguna. Untuk maklumat lanjut mengenai cara membuat temujanji melalui STO, sila layari Sistem Temujanji Online STO. Jangan lupa juga untuk meneroka laman emasmy.com untuk pelbagai panduan dan informasi menarik.
DOI: 10.34740/kaggle/dsv/10199003
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.15468/dl.zkhsku
title: Occurrence Download

description: A dataset containing 12425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT)",
 "TaxonKey is Chordata",
 "Year 2013-2023"
 ]
}

 The dataset includes 12425 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034348-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eg2ewb
title: Occurrence Download

description: A dataset containing 638349 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Suriname"
 ]
}

 The dataset includes 638349 records from 916 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034347-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2db78k
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT)",
 "TaxonKey is Arthropoda",
 "Year 2013-2023"
 ]
}

 The dataset includes 121 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034349-241126133413365/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/10199037
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.4jyag7
title: Occurrence Download

description: A dataset containing 2648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.5_1",
 "TaxonKey is Tipulidae"
 ]
}

 The dataset includes 2648 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034350-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.