cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7806/zew.mip.2019.v1
title: Mannheimer Innovationspanel (MIP) der Jahre 1993-2017

description: Das ZEW erhebt seit 1993 jährlich Daten zum Innovationsverhalten der deutschen Wirtschaft. Die Innovationserhebung deckt die Bereiche Bergbau, verarbeitendes Gewerbe, Energie, Baugewerbe, unternehmensnahe Dienstleistungen und distributive Dienstleistungen ab. Sie ist für Deutschland repräsentativ und ermöglicht Hochrechnung für die deutsche Wirtschaft insgesamt sowie für einzelne Branchengruppen. Es wird im Auftrag des BMBF und in Kooperation mit infas und dem Fraunhofer-ISI durchgeführt. Das MIP ist gleichzeitig der deutsche Beitrag zu den Community Innovation Surveys (CIS) der Europäischen Kommission.
Die jährliche Innovationserhebung ist als Panelbefragung konzipiert. Dabei werden jedes Jahr dieselben Unternehmen einbezogen. Die Repräsentativität der Stichprobe wird dadurch sichergestellt, dass sie um Unternehmensschließungen bzw. -zusammenschlüsse bereinigt wird und alle zwei Jahre neugegründete Unternehmen in die Stichprobe aufgenommen werden. Das Mannheimer Innovationspanel (MIP) liefert wichtige Informationen zur Einführung neuer Produkte, Dienstleistungen und Verfahren in Unternehmen, den Aufwendungen für Innovationen, und den Erfolg, den Unternehmen mit neuen Produkten, neuen Dienstleistungen und verbesserten Verfahren erzielen.
Das ZEW stellt die (lediglich) formal anonymisierten Daten des Mannheimer Innovationspanels der Wissenschaft unentgeltlich zur Verfügung. Eine Nutzung für externe Wissenschaftler ist in den Räumen des ZEW-FDZ möglich: www.zew.de/zew-fdz
Ferner werden auch faktisch anonymisierte <strong>Scientific-Use-Files</strong> von den Daten des MIP erstellt, diese können von Wissenschaftlern auch extern genutzt werden. (&lt;Link zum SUF&gt;)
description: Mannheimer Innovationspanel (MIP)
description: Anzahl der Einheiten:
1993, 1994: ca. 3.000 Unternehmen
1995: ca. 5.600 Unternehmen
1996: ca. 2.000 Unternehmen
1997-2006: ca. 3.800-4.800 Unternehmen
2007-2017: ca. 4.800-6.800 Unternehmen
Anzahl der Variablen:
Anzahl der Variablen variiert, in einigen Jahren fand eine Kurzerhebung statt
Kurzerhebung: 1998, 2000, 2002: ca. 40 Variablen
Kurzerhebung: 2004, 2006, 2008, 2010, 2012, 2014, 2016: ca. 90 - 170 Variablen
Langerhebung: 1993-1997, 1999, 2001: ca. 180-300 Variablen
Langerhebung: 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017: ca. 250-380 Variablen
description: Panelerhebung
1993, 1994 und 1996: Erhebung im Verarbeitenden Gewerbe und Bergbau
1995 und ab 1997: Erhebung im Verarbeitenden Gewerbe und Bergbau, in unternehmensnahen und distributiven Dienstleistungsbranche
1993-2002: getrennte Fragebögen für (a) Verarbeitendes Gewerbe, Bergbau und (b) Dienstleistungen
Ab 2003 identischer Fragebogen für alle Branchen
Fragebogen variiert bis auf Kernfragen zum Innovationsgeschehen, die europaweit - dem Oslo-Manual (OECD) folgend - abgestimmt sind (im Rahmen von CIS – Community Innovation Survey)
DOI: 10.15468/dl.yqqqc3
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysosplenium dubium Gay ex Ser.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293805-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yazvzf
title: Occurrence Download

description: A dataset containing 95214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Torminalis glaberrima (Gand.) Sennikov & Kurtto",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 95214 records from 467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0258041-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yvrak
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gracilaria parvispora",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008524-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhzy3h
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eruca vesicaria",
 "Country is Uzbekistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032327-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16340419
title: Data supporting the publication "Dynamic Shaping of Multi-Touch Stimuli by Programmable Acoustic Metamaterial"

description: This dataset contains the raw experimental data from both physical and perceptual evaluations of a programmable acoustic metamaterial designed for low‑frequency vibrotactile applications.
DOI: 10.5281/zenodo.16342129
title: Data supporting the publication "Dynamic Shaping of Multi-Touch Stimuli by Programmable Acoustic Metamaterial"

description: This dataset contains the raw experimental data from both physical and perceptual evaluations of a programmable acoustic metamaterial designed for low‑frequency vibrotactile applications.
DOI: 10.15468/dl.m92qef
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandanus odoratissimus"
 ]
}

 The dataset includes 176 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032331-250717081556266/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.29624120
title: <b>PERANCANGAN ENTERPRISE RESOURCE PLANNING (ERP) PADA SISTEM PENJUALAN</b><b> TOKO</b><b> </b><b>KUE DENGAN APLIKASI ODOO DI TOKO </b><b>KUE </b><b>NAZWA</b>

description: <b>Toko Kue Nan</b><b>z</b><b>a</b> adalah sebuah usaha rumahan yang bergerak di bidang produksi dan penjualan aneka kue, baik kue basah maupun kue kering. Proses penjualan yang diterapkan saat ini masih bersifat manual dan tradisional, di mana seluruh aktivitas pemesanan, pencatatan, hingga pelaporan dilakukan tanpa bantuan sistem digital. Cara kerja seperti ini seringkali menyita waktu dan tenaga, serta rentan menimbulkan berbagai kesalahan, seperti pencatatan transaksi yang tidak akurat, data pesanan yang hilang, atau laporan penjualan yang rusak atau tidak tersimpan dengan baik. Akibatnya, kegiatan operasional menjadi tidak efisien dan berdampak negatif terhadap kelancaran usaha serta pendapatan toko. Untuk mengatasi kendala tersebut, dibutuhkan sebuah sistem informasi yang terintegrasi dan mampu mendukung seluruh proses penjualan secara otomatis. Solusi yang ditawarkan adalah penerapan sistem <b>Enterprise Resource Planning (ERP)</b> yang dirancang khusus untuk Toko Kue Nanja. Proses perancangan sistem ini dimulai dengan mengidentifikasi permasalahan melalui observasi dan wawancara langsung dengan pemilik usaha. Selanjutnya, dilakukan pemetaan alur kerja penjualan yang sedang berjalan, dan kemudian dirancang solusi digital menggunakan alat bantu seperti <b>Business Process Model and Notation (BPMN)</b> untuk menggambarkan sistem baru yang diusulkan. Langkah-langkah berikutnya mencakup studi literatur untuk memperkuat teori dan metodologi yang digunakan, pemilihan platform ERP yang tepat, serta proses konfigurasi dan penyesuaian modul sesuai kebutuhan bisnis. Hasil akhir dari penelitian ini menunjukkan bahwa penerapan ERP menggunakan <b>aplikasi Odoo</b> mampu meningkatkan efektivitas dan efisiensi proses penjualan. Dengan adanya sistem ini, kesalahan data dapat diminimalkan, laporan keuangan menjadi lebih akurat, dan operasional usaha dapat berjalan lebih lancar.
DOI: 10.6084/m9.figshare.29624120.v1
title: <b>PERANCANGAN ENTERPRISE RESOURCE PLANNING (ERP) PADA SISTEM PENJUALAN</b><b> TOKO</b><b> </b><b>KUE DENGAN APLIKASI ODOO DI TOKO </b><b>KUE </b><b>NAZWA</b>

description: <b>Toko Kue Nan</b><b>z</b><b>a</b> adalah sebuah usaha rumahan yang bergerak di bidang produksi dan penjualan aneka kue, baik kue basah maupun kue kering. Proses penjualan yang diterapkan saat ini masih bersifat manual dan tradisional, di mana seluruh aktivitas pemesanan, pencatatan, hingga pelaporan dilakukan tanpa bantuan sistem digital. Cara kerja seperti ini seringkali menyita waktu dan tenaga, serta rentan menimbulkan berbagai kesalahan, seperti pencatatan transaksi yang tidak akurat, data pesanan yang hilang, atau laporan penjualan yang rusak atau tidak tersimpan dengan baik. Akibatnya, kegiatan operasional menjadi tidak efisien dan berdampak negatif terhadap kelancaran usaha serta pendapatan toko. Untuk mengatasi kendala tersebut, dibutuhkan sebuah sistem informasi yang terintegrasi dan mampu mendukung seluruh proses penjualan secara otomatis. Solusi yang ditawarkan adalah penerapan sistem <b>Enterprise Resource Planning (ERP)</b> yang dirancang khusus untuk Toko Kue Nanja. Proses perancangan sistem ini dimulai dengan mengidentifikasi permasalahan melalui observasi dan wawancara langsung dengan pemilik usaha. Selanjutnya, dilakukan pemetaan alur kerja penjualan yang sedang berjalan, dan kemudian dirancang solusi digital menggunakan alat bantu seperti <b>Business Process Model and Notation (BPMN)</b> untuk menggambarkan sistem baru yang diusulkan. Langkah-langkah berikutnya mencakup studi literatur untuk memperkuat teori dan metodologi yang digunakan, pemilihan platform ERP yang tepat, serta proses konfigurasi dan penyesuaian modul sesuai kebutuhan bisnis. Hasil akhir dari penelitian ini menunjukkan bahwa penerapan ERP menggunakan <b>aplikasi Odoo</b> mampu meningkatkan efektivitas dan efisiensi proses penjualan. Dengan adanya sistem ini, kesalahan data dapat diminimalkan, laporan keuangan menjadi lebih akurat, dan operasional usaha dapat berjalan lebih lancar.
DOI: 10.15468/dl.33gqfh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Anaxyrus americanus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032333-250717081556266/datasets/export for details.
DOI: 10.15468/dl.nt6c9t
title: Occurrence Download

description: A dataset containing 1822 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helictotrichon cantabricum"
 ]
}

 The dataset includes 1822 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032329-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvdpty
title: Occurrence Download

description: A dataset containing 1664 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dracophyllum continentis"
 ]
}

 The dataset includes 1664 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032330-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uuqe8
title: Occurrence Download

description: A dataset containing 544534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Streptopelia turtur)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 544534 records from 3622 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032304-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0169756.10fu
title: SH0169756.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169757.10fu
title: SH0169757.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169758.10fu
title: SH0169758.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169759.10fu
title: SH0169759.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169760.10fu
title: SH0169760.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169761.10fu
title: SH0169761.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169762.10fu
title: SH0169762.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169763.10fu
title: SH0169763.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0169764.10fu
title: SH0169764.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.