cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f3x1j
title: CCDC 2238077: Experimental Crystal Structure Determination

description: Related Article: Narayan Ch. Jana, Marko Jagodič, Paula Brandão, Moumita Patra, Radovan Herchel, Zvonko Jagličić, Anangamohan Panja|2023|RSC Advances|13|11311|doi:10.1039/D3RA00737E
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.
DOI: 10.5517/ccdc.csd.cc2f3x2k
title: CCDC 2238078: Experimental Crystal Structure Determination

description: Related Article: Narayan Ch. Jana, Marko Jagodič, Paula Brandão, Moumita Patra, Radovan Herchel, Zvonko Jagličić, Anangamohan Panja|2023|RSC Advances|13|11311|doi:10.1039/D3RA00737E
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.
DOI: 10.5517/ccdc.csd.cc2f3x3l
title: CCDC 2238079: Experimental Crystal Structure Determination

description: Related Article: Narayan Ch. Jana, Marko Jagodič, Paula Brandão, Moumita Patra, Radovan Herchel, Zvonko Jagličić, Anangamohan Panja|2023|RSC Advances|13|11311|doi:10.1039/D3RA00737E
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.
DOI: 10.5517/ccdc.csd.cc2f3x4m
title: CCDC 2238080: Experimental Crystal Structure Determination

description: Related Article: Narayan Ch. Jana, Marko Jagodič, Paula Brandão, Moumita Patra, Radovan Herchel, Zvonko Jagličić, Anangamohan Panja|2023|RSC Advances|13|11311|doi:10.1039/D3RA00737E
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.
DOI: 10.5517/ccdc.csd.cc2f3x5n
title: CCDC 2238081: Experimental Crystal Structure Determination

description: Related Article: Narayan Ch. Jana, Marko Jagodič, Paula Brandão, Moumita Patra, Radovan Herchel, Zvonko Jagličić, Anangamohan Panja|2023|RSC Advances|13|11311|doi:10.1039/D3RA00737E
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.
DOI: 10.5517/ccdc.csd.cc2f4z0l
title: CCDC 2239099: Experimental Crystal Structure Determination

description: Related Article: Nour El Beyrouti, Felix Houard, Marie Cordier, Elzbieta Trzop, Stéphane Rigaut, Boris Le Guennic, Kevin Bernot, Lucie Norel|2023|Chem.Commun.|59|5265|doi:10.1039/D3CC01037F
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.
DOI: 10.18712/nsd-nsd2374-v4
title: Crisis Resolution and Home Treatment in Community Mental Health Service: Development, Practice, Experiences, and Outcomes, 2011

description: The primary objective of this project was to expand knowledge about Crisis Intervention & Home Treatment (CRHT) programs within community mental health services. The project includes three studies focusing on examining the development of and processes in crisis resolution and home treatment. The Study 1 examined the processes of developing a CRHT team and the patterns of practice that became established with the team, and the Study 2 described the service-user experiences of mental health crisis, the impacts of crisis on everyday life and service use, while the Study 3 described the patterns of service provision by the CRHT teams during a period of 24 months.
DOI: 10.18712/nsd-nsd3069-v1
title: PROTECT: The impacts of the UN's Global Compacts on Migration and Refugees on the governance of international protection: legal norms, procedures and institutional architectures of asylum determination

description: This database aims to assess the impacts of different inter-institutional architectures of asylum decision making on the human rights of asylum seekers. It is geared towards finding new institutional architectures of asylum determination instrumental to achieving high standards of asylum policy. It maps the different institutional compositions in asylum decision-making in the European Union, Canada and South Africa.

The collection of data is based on practitioner and academic reports. They are either comparative in nature or country specific. For EU member states, the European Migration Network (EMN) provides a series of yearly national reports and comparative reports that provide useful information. For OECD member states, the “International Migration Outlook” (ex-SOPEMI reports) offers useful insights that add to, or supplement other sources. Another relevant source of (pluri-) annual reports is that of the Asylum Information Database (AIDA), managed by the European Council on Refugees and Exiles (ECRE).

In addition to second-hand sources, national laws published in official journals were used, resorting to automated translation where necessary. The whole process of data collection took about 12 months of research and coding. To maximise consistency across countries, data collection and coding for all 16 countries was done by the same person, on the basis of instructions elaborated collegially. A detailed list of references is provided in the documentation section.

Licensed under Creative Commons Attribution 4.0 International.
DOI: 10.18712/nsd-nsd3070-v1
title: PROTECT: the external dimension of the EU's migration and asylum policy

description: The data and documentation in this study is an innovation project that is a part of "PROTECT The Right to International Protection: A Pendulum between Globalization and Nativization?". This is an EU-funded research project launched on 1 February 2020. The impacts of the UN's Global Compacts on Refugees and Migration are studied, which are two non-binding frameworks promoting international cooperation and responsibility-sharing as key solutions to handle global refugee flows. By studying how the Compacts are received and implemented in different countries, and how they interact with existing legal frameworks and governance architectures, the Compacts' impact on refugees' right to international protection is investigated. 

More specifically, this database maps the different policy tools of the external dimension of the Common European Asylum System (CEAS) and of the Asylum policy of the EU. The information gathered in this database concerns the policy toolbox relating to the external dimension of the EU’s asylum and migration policy. Said toolbox is also displayed on an interactive map available to the public by following the link: https://umap.openstreetmap.fr/en/map/eu-external-migration-policy-tools_584227#4/30.33/41.13. The data is collected from open secondary sources and legal texts. 

Licensed under Creative Commons Attribution 4.0 International.
DOI: 10.18712/nsd-nsd3071-v1
title: PROTECT: The impacts of the UN's Global Compacts on Migration and Refugees on civil societies’ recognition of the right to international protection

description: This database aims to present information on how civil society organizations and groups (CSOs), as stakeholders in refugee and asylum governance structures, affect and are affected by the Global Compacts. Its goal is to map the changes in CSOs’ definitions and perceptions of human rights, refugee rights and asylum rights as a consequence of the Global Compacts, including the impact of the changes in their goals, strategies and networking patterns. 

Licensed under Creative Commons Attribution 4.0 International.
DOI: 10.18712/nsd-nsd3072-v1
title: PROTECT: The impacts of the UN's Global Compacts on Migration and Refugees on the governance of international protection. Fieldwork studies of governance in practice

description: The fieldwork data presented aims to assess how the Global Compacts on Migration and Refugees and the Common European Asylum System affect the understanding of vulnerability and special needs in the field-level governance of international protection. It contains information on: 1) how key actors and stakeholders involved in field level governance understand and apply the notions of vulnerability and specific needs; and 2) how networks of international, national and local actors working in the field-level governance collaborate to address vulnerabilities. Particular attention is paid to how field-level governance accounts for gender and other intersecting structures of domination and exclusion, related to sexuality, age, class, race, and ability. 

The data presented here is a synthesis of the fieldwork carried out. Original data cannot be published due to protection of privacy.

Licensed under Creative Commons Attribution 4.0 International.
DOI: 10.18712/nsd-nsd3114-v1
title: PROTECT: The impacts of the UN's Global Compacts on Migration and Refugees on the recognition of the right to international protection in the public sphere

description: This database gathers links to media contents relating to migration and asylum from 2014 to 2020. The links were collected through the use of EventRegistry, a big data platform (https://www.eventregistry.org/) hosted at the University of Ljubljana. EventRegistry collects news articles from over 150,000 sources, published worldwide in over 40 different languages since January 2014. The database accessible here contains information on news articles from 18 countries from 2014 to 2020. However, due to copyrights law, the titles and contents of said articles is not contained in the database.

Licensed under Creative Commons Attribution 4.0 International
DOI: 10.6084/m9.figshare.22716451.v1
title: <em><strong>Niveomyces</strong></em> <strong>and</strong> <em><strong>Pseudoniveomyces</strong></em> <strong>gen. nov. </strong>(ITS-LSU-<em>TEF1</em>) <strong> </strong>

description: The 3-loci phylogeny (ITS-LSU-<em>TEF1</em>) revealed that the fourteen specimens exhibiting <em>Sporothrix</em>-like asexual morphs (i.e. <em>Niveomyces</em> spp. and <em>Pseudoniveomyces</em> gen. nov.) included in this study formed two strongly supported monophyletic clades; one included <em>N. insectorum</em> (= <em>S. insectorum</em>, CBS756.73) and <em>N. coronatus</em> (NY04434800) (i.e. the genus <em>Niveomyces</em>, BS = 78 and 1.00 Bayesian posterior probability), branching as a sister clade to <em>Pseudogibellula</em> <em>formicarum</em>, and another independent clade (<em>Pseudoniveomyces</em> gen. nov., represented by <em>P. blattae</em> sp. nov. with 100% support), which branches as a sister taxon to a clade comprising <em>Gibellula</em>, <em>Hevansia</em> and <em>Jenniferia</em>. Four, fully-supported subclades could be observed within <em>Niveomyces,</em> with one subclade containing both <em>N. insectorum</em> (= <em>S. insectorum</em>) and the recently proposed type species for <em>Niveomyces</em>, <em>N. coronatus</em> (Araújo et al. 2022).
DOI: 10.5281/zenodo.7874737
title: Dataset from "Night-time bracing could reduce pain in adults with scoliosis: Six months results of a pilot retrospective controlled study"

description: Dataset from a still non-published study titled "Night-time bracing could reduce pain in adults with scoliosis: Six months results of a pilot retrospective controlled study"
DOI: 10.5281/zenodo.7874736
title: Dataset from "Night-time bracing could reduce pain in adults with scoliosis: Six months results of a pilot retrospective controlled study"

description: Dataset from a still non-published study titled "Night-time bracing could reduce pain in adults with scoliosis: Six months results of a pilot retrospective controlled study"
DOI: 10.4121/21184555
title: Chimera - regular vines R (4 to 7 nodes)

description: Vine copulas have become the standard tool for modelling complex probabilistic dependence. It has been shown that thenumber of regular vines grows extremely quickly with the number of nodes. Chimera is the first attempt to map the vast space ofregular vines. No dataset containing all regular vines is available. The atlas of regular vines, Chimera, comprises all 24 4×4 matrices representing regular vineson 4 nodes, 480 5×5 matrices representing regular vines on 5 nodes, 23,040 6×6 matrices representing regular vines on 6nodes, 2,580,480 7×7 matrices representing regular vines on 7 nodes and 660,602,880 8×8 matrices representing regularvines on 8 nodes. Regular vines in Chimera are classified according to their tree-equivalence class. All regular vines were fitted to synthetic data to demonstrate the potential of Chimera. It provides thus a tool for researchers to navigate this vast space in an orderly fashion.This dataset contain vine matrices in for R <br>
DOI: 10.4121/21184555.v1
title: Chimera - regular vines R (4 to 7 nodes)

description: Vine copulas have become the standard tool for modelling complex probabilistic dependence. It has been shown that thenumber of regular vines grows extremely quickly with the number of nodes. Chimera is the first attempt to map the vast space ofregular vines. No dataset containing all regular vines is available. The atlas of regular vines, Chimera, comprises all 24 4×4 matrices representing regular vineson 4 nodes, 480 5×5 matrices representing regular vines on 5 nodes, 23,040 6×6 matrices representing regular vines on 6nodes, 2,580,480 7×7 matrices representing regular vines on 7 nodes and 660,602,880 8×8 matrices representing regularvines on 8 nodes. Regular vines in Chimera are classified according to their tree-equivalence class. All regular vines were fitted to synthetic data to demonstrate the potential of Chimera. It provides thus a tool for researchers to navigate this vast space in an orderly fashion.This dataset contain vine matrices in for R <br>
DOI: 10.4121/21184552
title: Chimera - regular vines MATLAB (4 to 7 nodes)

description: Vine copulas have become the standard tool for modelling complex probabilistic dependence. It has been shown that thenumber of regular vines grows extremely quickly with the number of nodes. Chimera is the first attempt to map the vast space ofregular vines. No dataset containing all regular vines is available. The atlas of regular vines, Chimera, comprises all 24 4×4 matrices representing regular vineson 4 nodes, 480 5×5 matrices representing regular vines on 5 nodes, 23,040 6×6 matrices representing regular vines on 6nodes, 2,580,480 7×7 matrices representing regular vines on 7 nodes and 660,602,880 8×8 matrices representing regularvines on 8 nodes. Regular vines in Chimera are classified according to their tree-equivalence class. All regular vines were fitted to synthetic data to demonstrate the potential of Chimera. It provides thus a tool for researchers to navigate this vast space in an orderly fashion.This dataset contain vine matrices in for matlab<br>
DOI: 10.4121/21184552.v1
title: Chimera - regular vines MATLAB (4 to 7 nodes)

description: Vine copulas have become the standard tool for modelling complex probabilistic dependence. It has been shown that thenumber of regular vines grows extremely quickly with the number of nodes. Chimera is the first attempt to map the vast space ofregular vines. No dataset containing all regular vines is available. The atlas of regular vines, Chimera, comprises all 24 4×4 matrices representing regular vineson 4 nodes, 480 5×5 matrices representing regular vines on 5 nodes, 23,040 6×6 matrices representing regular vines on 6nodes, 2,580,480 7×7 matrices representing regular vines on 7 nodes and 660,602,880 8×8 matrices representing regularvines on 8 nodes. Regular vines in Chimera are classified according to their tree-equivalence class. All regular vines were fitted to synthetic data to demonstrate the potential of Chimera. It provides thus a tool for researchers to navigate this vast space in an orderly fashion.This dataset contain vine matrices in for matlab<br>
DOI: 10.4121/20655120
title: Chimera - regular vines Python (4 to 8 nodes)

description: Vine copulas have become the standard tool for modelling complex probabilistic dependence. It has been shown that thenumber of regular vines grows extremely quickly with the number of nodes. Chimera is the first attempt to map the vast space ofregular vines. No dataset containing all regular vines is available. The atlas of regular vines, Chimera, comprises all 24 4×4 matrices representing regular vineson 4 nodes, 480 5×5 matrices representing regular vines on 5 nodes, 23,040 6×6 matrices representing regular vines on 6nodes, 2,580,480 7×7 matrices representing regular vines on 7 nodes and 660,602,880 8×8 matrices representing regularvines on 8 nodes. Regular vines in Chimera are classified according to their tree-equivalence class. All regular vines were fitted to synthetic data to demonstrate the potential of Chimera. It provides thus a tool for researchers to navigate this vast space in an orderly fashion.This dataset contain vine matrices in for Python <br>
DOI: 10.4121/20655120.v1
title: Chimera - regular vines Python (4 to 8 nodes)

description: Vine copulas have become the standard tool for modelling complex probabilistic dependence. It has been shown that thenumber of regular vines grows extremely quickly with the number of nodes. Chimera is the first attempt to map the vast space ofregular vines. No dataset containing all regular vines is available. The atlas of regular vines, Chimera, comprises all 24 4×4 matrices representing regular vineson 4 nodes, 480 5×5 matrices representing regular vines on 5 nodes, 23,040 6×6 matrices representing regular vines on 6nodes, 2,580,480 7×7 matrices representing regular vines on 7 nodes and 660,602,880 8×8 matrices representing regularvines on 8 nodes. Regular vines in Chimera are classified according to their tree-equivalence class. All regular vines were fitted to synthetic data to demonstrate the potential of Chimera. It provides thus a tool for researchers to navigate this vast space in an orderly fashion.This dataset contain vine matrices in for Python <br>
DOI: 10.15468/dl.brs949
title: Occurrence Download

description: A dataset containing 867 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polyspatha paniculata Benth."
 ]
}

 The dataset includes 867 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092687-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d896js
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrocephalus dubius Gould, 1839"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0379299-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzgffh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urnalana whitei (Bell, 1855)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-14 42, 9 38, -7 26, -14 42))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012008-230828120925497/datasets/export for details.
DOI: 10.15468/dl.qxzxke
title: Occurrence Download

description: A dataset containing 1139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylloicus Mueller, 1880"
 ]
}

 The dataset includes 1139 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015116-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4srgu
title: Occurrence Download

description: A dataset containing 97212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mesapamea secalis (Linnaeus, 1758), Mesogona oxalina (Hübner))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 97212 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0359197-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfwy44
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Piqueria glandulosa B.L.Turner"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081130-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2tun4
title: Occurrence Download

description: A dataset containing 803353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Melastomataceae"
 ]
}

 The dataset includes 803353 records from 555 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000084-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.