cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2k7vj6
title: CCDC 2361038: Experimental Crystal Structure Determination

description: Related Article: Oľga Caletková, Lucia Pinčeková, Jana Nováčiková, Róbert Gyepes, Petra Olejníková, Peter Pôbiš, Helena Kanďárová, Dušan Berkeš|2024|Org.Biomol.Chem.|22|9394|doi:10.1039/D4OB01501K
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.cc2k7vk7
title: CCDC 2361039: Experimental Crystal Structure Determination

description: Related Article: Oľga Caletková, Lucia Pinčeková, Jana Nováčiková, Róbert Gyepes, Petra Olejníková, Peter Pôbiš, Helena Kanďárová, Dušan Berkeš|2024|Org.Biomol.Chem.|22|9394|doi:10.1039/D4OB01501K
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.cc2k7vl8
title: CCDC 2361040: Experimental Crystal Structure Determination

description: Related Article: Oľga Caletková, Lucia Pinčeková, Jana Nováčiková, Róbert Gyepes, Petra Olejníková, Peter Pôbiš, Helena Kanďárová, Dušan Berkeš|2024|Org.Biomol.Chem.|22|9394|doi:10.1039/D4OB01501K
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: 10.15468/dl.vpp8hy
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrobium nobile Lindl."
 ]
}

 The dataset includes 92 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030173-241126133413365/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.cc2kj2kr
title: CCDC 2368944: Experimental Crystal Structure Determination

description: Related Article: Le Anh Nguyen, Thi Thu Tram Nguyen, Quoc Anh Ngo, Pascal Retailleau, Thanh Binh Nguyen|2024|Org.Biomol.Chem.|22|9353|doi:10.1039/D4OB01452A
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.cc2kn5fv
title: CCDC 2372877: Experimental Crystal Structure Determination

description: Related Article: Niyaz Amire, Kamila M. Almagambetova, Assel Turlykul, Aidyn Taishybay, Gulzat Nuroldayeva, Andrey Belyaev, Anatoly A. Peshkov, Darkhan Utepbergenov, Vsevolod A. Peshkov|2024|Org.Biomol.Chem.|22|9379|doi:10.1039/D4OB01270D
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.cc2kn5gw
title: CCDC 2372878: Experimental Crystal Structure Determination

description: Related Article: Niyaz Amire, Kamila M. Almagambetova, Assel Turlykul, Aidyn Taishybay, Gulzat Nuroldayeva, Andrey Belyaev, Anatoly A. Peshkov, Darkhan Utepbergenov, Vsevolod A. Peshkov|2024|Org.Biomol.Chem.|22|9379|doi:10.1039/D4OB01270D
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.cc2kn5hx
title: CCDC 2372879: Experimental Crystal Structure Determination

description: Related Article: Niyaz Amire, Kamila M. Almagambetova, Assel Turlykul, Aidyn Taishybay, Gulzat Nuroldayeva, Andrey Belyaev, Anatoly A. Peshkov, Darkhan Utepbergenov, Vsevolod A. Peshkov|2024|Org.Biomol.Chem.|22|9379|doi:10.1039/D4OB01270D
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.cc2kw55t
title: CCDC 2379596: Experimental Crystal Structure Determination

description: Related Article: Mohan Prabhakaran, Ramesh Sanjana, Kanniyappan Parthasarathy|2024|Org.Biomol.Chem.|22|9348|doi:10.1039/D4OB01072H
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.cc2kw9j9
title: CCDC 2379731: Experimental Crystal Structure Determination

description: Related Article: Tanmoy Sahoo, Dasari Vijaya Prasanna, B. Sridhar, B. V. Subba Reddy|2024|Org.Biomol.Chem.|22|9408|doi:10.1039/D4OB01493F
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: 10.15468/dl.zc2fx4
title: Occurrence Download

description: A dataset containing 7009 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syntrichia princeps (De Not.) Mitt."
 ]
}

 The dataset includes 7009 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030171-241126133413365/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.cc2lb7w2
title: CCDC 2393134: Experimental Crystal Structure Determination

description: Related Article: Xiao Yu, Liqiang Hao, Xian Liu, Shengkui Jin, Yangchen Li, Yiping Liu, Yafei Ji|2024|Org.Biomol.Chem.|22|9366|doi:10.1039/D4OB01626B
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: 10.15468/dl.cyxqr4
title: Occurrence Download

description: A dataset containing 11678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Glycine max (L.) Merr."
 ]
}

 The dataset includes 11678 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030176-241126133413365/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.28008764
title: Brand, Loyalty & Technology’s Impact on Buying Television!

description: This paper presents the market forces that influence customers’ choices in new television series selections with pull and push demands. Dealers and retailers perform upselling trends to attract customers and promote product sales. The study was conducted to understand customers' current buying behavior for LED/LCD TV sets offered by leading manufacturers in India and sold through the retail network in Bangalore. This study has concluded that there is limited scope in addressing the WANT of customers for their future needs. There is a need for further research to establish core development in technology selling when the “Customer is King,” and he/she knows his/her preference before stepping into any showroom.
DOI: 10.15468/dl.xgdnjm
title: Occurrence Download

description: A dataset containing 3450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Piper kadsura (Choisy) Ohwi"
 ]
}

 The dataset includes 3450 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030177-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/tiemmg
title: Presidential Particularism and Mayoral Elections

description: Amid the growing trend of political polarization and nationalization of US politics, the link between federal and local governments has become increasingly significant in the American public policy process. Consequently, the president, as party leader, has increasingly supported co-partisan candidates, not only in federal elections but also in subnational ones. Incorporating 1,124 contested partisan local elections for 399 cities with populations exceeding 50,000 between 2005 and 2020, we investigate how the president strategically employs federal funds to assist co-partisan mayoral candidates. Using two-way fixed effects models, we find that the president distributes more block and project grants to swing cities with co-partisan mayors during mayoral election years. We do not find, however, that the president disproportionately allocates grants to co-partisan mayors in swing cities during non-mayoral election years; instead jurisdictions are rewarded irrespective of their electoral value.
DOI: 10.6084/m9.figshare.26978218
title: Data from: Phenology is an important driver of hawkmoth-flower interactions in a megadiverse mountain area in Brazil

description: Hawkmoths and flowers exhibit striking examples of morphological specialisation, yet how these interactions are structured by different processes within communities still need to be better understood. In this study, we investigated the interactions between hawkmoths and flowers in the megadiverse, open-vegetation landscape of the Brazilian Campos Rupestres. Using a zoocentric approach based on pollen loads found on hawkmoth bodies, we assessed their interactions at the community-level. Our results revealed a modular network, with both hawkmoths and flowering plants organised into modules characterised by dissimilarity in their phenologies. This temporal segregation suggests species partitioning resources across the year. Furthermore, phenology better predicted interaction frequencies than abundances in the network. This study represents the first attempt to unravel the organisation of hawkmoth-flower interactions at a community level in this ancient, megadiverse Brazilian ecosystem, and we show that phenology is an important process determining interactions between flowers and specialized pollinators.
DOI: 10.15468/dl.4yy6qv
title: Occurrence Download

description: A dataset containing 649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Semiaquilegia adoxoides (DC.) Makino"
 ]
}

 The dataset includes 649 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030179-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7f9qq
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Nesting Flatback Sea Turtle (aggregated per 1-degree cell)",
 "Geometry POLYGON((109.35277 -20.25579,145.64723 -20.25579,145.64723 -5.74421,109.35277 -5.74421,109.35277 -20.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030180-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn5ers
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aaptos potiguarensis Carvalho, da Silva & Pinheiro, 2013"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030181-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12626697
title: How to better count elusive birds? Comparing non-invasive monitoring methods to estimate population size of the endangered Pin-tailed sandgrouse (Pterocles alchata)

description: Data to run analyses for manuscript comparing non-invasive monitoring methods to estimate Pin-tailed sandgrouse abundance
DOI: 10.5281/zenodo.12580094
title: How to better count elusive birds? Comparing non-invasive monitoring methods to estimate population size of the endangered Pin-tailed sandgrouse (Pterocles alchata)

description: Data to run analyses for manuscript comparing non-invasive monitoring methods to estimate Pin-tailed sandgrouse abundance
DOI: 10.5281/zenodo.12580095
title: How to better count elusive birds? Comparing non-invasive monitoring methods to estimate population size of the endangered Pin-tailed sandgrouse (Pterocles alchata)

description: Data to run analyses for manuscript comparing non-invasive monitoring methods to estimate Pin-tailed sandgrouse abundance
DOI: 10.5281/zenodo.14387266
title: How to better count elusive birds? Comparing non-invasive monitoring methods to estimate population size of the endangered Pin-tailed sandgrouse (Pterocles alchata)

description: Data to run analyses for manuscript comparing non-invasive monitoring methods to estimate Pin-tailed sandgrouse abundance
DOI: 10.15468/dl.7dadv8
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corydalis yanhusuo W.T.Wang ex Z.Y.Su & C.Y.Wu"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030184-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fejx7
title: Occurrence Download

description: A dataset containing 69430 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syntrichia ruralis (Hedw.) F.Weber & D.Mohr"
 ]
}

 The dataset includes 69430 records from 555 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030178-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34683/sr1339
title: StoneRounds Case: SR1339
title: XL Retinitis Pigmentosa

description: StoneRounds Case SR1339 was diagnosed with XL Retinitis Pigmentosa likely caused by mutations in the gene: RPGR.
DOI: 10.15468/dl.dcrgr4
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nylanderia fulva (Mayr, 1862)"
 ]
}

 The dataset includes 366 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030185-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23636/pbq5-9k28
title: The Newspaper Press Directory (1846-1920): A Structured and Enriched Dataset

description: Mitchell's Newspaper Press Directories contained an almost complete list of newspapers published in England, Wales, Scotland and Ireland. It was published regularly from 1846 onwards and provided a detailed description of the newspaper landscape over time. This version contains a structured, tabular representation of the directories (as CSV or Excel Spreadsheet). Each row describes a newspaper at a specific point in time. We record title, politics, price, location and other information. Please consult the data card for a detailed overview of the data structure and this blog post for more background on the digitisation process.
description: The file consists of OCR (Optical Character Recognition) text in CSV and XLSX format for each year the directory was published, where a physical copy is housed in the Newsroom. The digitised pages will be made available on BL's Universal Viewer
description: London, UK
DOI: 10.5281/zenodo.14382720
title: Dataset - High-resolution mapping of wood burning appliance hotspots using Energy Performance Certificates: A case study of England and Wales

description: The dataset 'Data.tar' contains a dataset which can be used to replicate the analysis in the article "High-resolution mapping of wood burning appliance hotspots using Energy Performance Certificates: A case study of England and Wales". The main Energy Performance Certificate data is not included, as this must be downloaded separately. The code base for the project is available here: https://github.com/calum-kennedy-98/EPC_mapping_project_code.

To use the data, please follow these steps:

1. Clone the GitHub repository to your local device from the link above

2. Download the 'Data.tar' file, move to the root directory where the R Project is saved, and unzip. The resulting data should be stored in a folder called 'Data' within the root directory - e.g. "C:\Users\USERNAME\Documents\EPC_project\Data"

3. Run the 'run.R' script in your local R session
DOI: 10.5281/zenodo.14388106
title: VENTURES THRIVE Open Dataset with the beneficiaries of our open calls

description: The EU-funded VENTURES THRIVE project has supported 32 startups, providing up to EUR 100 000 (cash and vouchers) to each of them. We promote transparency and the good use of EU-funding by publishing an Open Dataset with the beneficiaries of our open calls including their basic data (non-personal) and the funding received as a result of their participation in the open calls.
DOI: 10.5281/zenodo.14388107
title: VENTURES THRIVE Open Dataset with the beneficiaries of our open calls

description: The EU-funded VENTURES THRIVE project has supported 32 startups, providing up to EUR 100 000 (cash and vouchers) to each of them. We promote transparency and the good use of EU-funding by publishing an Open Dataset with the beneficiaries of our open calls including their basic data (non-personal) and the funding received as a result of their participation in the open calls.
DOI: 10.5281/zenodo.14382719
title: Dataset - High-resolution mapping of wood burning appliance hotspots using Energy Performance Certificates: A case study of England and Wales

description: The dataset 'Data.tar' contains a dataset which can be used to replicate the analysis in the article "High-resolution mapping of wood burning appliance hotspots using Energy Performance Certificates: A case study of England and Wales". The main Energy Performance Certificate data is not included, as this must be downloaded separately. The code base for the project is available here: https://github.com/calum-kennedy-98/EPC_mapping_project_code.

To use the data, please follow these steps:

1. Clone the GitHub repository to your local device from the link above

2. Download the 'Data.tar' file, move to the root directory where the R Project is saved, and unzip. The resulting data should be stored in a folder called 'Data' within the root directory - e.g. "C:\Users\USERNAME\Documents\EPC_project\Data"

3. Run the 'run.R' script in your local R session
DOI: 10.5281/zenodo.8399018
title: Circumpolar Landcover Units

description: Landcover units have been derived from Copernicus Sentinel-1 und Sentinel-2 data acquired between 2016 and 2022 for the Arctic tundra biome. 23 units of which 20 represent different vegetation characteristics and soil conditions are provided. The units have been identified with K-means over a representative transect and in a second step retrieved across the entire Arctic north of the treeline. The description of the units is based on several thousand samples from vegetation surveys and soil probes.

The units are supplied at 10m resolution in nine irregular tiles. Auxiliary data for quality information and input acquisition dates are supplied in a separate shape file. Units are documented in detail in Bartsch, A., Efimova, A., Widhalm, B., Muri, X., von Baeckmann, C., Bergstedt, H., Ermokhina, K., Hugelius, G., Heim, B., and Leibman, M.: Circumarctic land cover diversity considering wetness gradients, Hydrol. Earth Syst. Sci., 28, 2421–2481, https://doi.org/10.5194/hess-28-2421-2024, 2024.
description: Contains modified Copernicus Sentinel data 2016 - 2022. This study and associated datasets were designed for scientific purposes only and should not be taken as professional engineering advice. This work was supported by the European Space Agency CCI+ Permafrost and AMPAC-Net projects, the European Research Council project No. 951288, and has received funding under the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 869471 (CHARTER).
description: An update of the product user guide document and formatting of Alaska (masking) and Svalbard (projection) is available under https://zenodo.org/records/11486149 .
DOI: 10.5281/zenodo.14390353
title: Chapter 3_Raw data files
DOI: 10.5281/zenodo.14390354
title: Chapter 3_Raw data files