cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.exzqv2
title: Occurrence Download

description: A dataset containing 890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Plectrophenax nivalis (Linnaeus, 1758)",
 "Year 2019-2024"
 ]
}

 The dataset includes 890 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012091-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14027002
title: Data from: Parallel mechanisms signal a hierarchy of sequence structure violations in the auditory cortex

description: The brain predicts regularities in sensory inputs at multiple complexity levels, with neuronal mechanisms that remain elusive. Here, we monitored auditory cortex activity during the local-global paradigm, a protocol nesting different regularity levels in sound sequences. We observed that mice encode local predictions based on stimulus occurrence and stimulus transition probabilities, because auditory responses are boosted upon prediction violation. This boosting was due to both short-term adaptation and an adaptation-independent surprise mechanism resisting anesthesia. In parallel, and only in wakefulness, VIP interneurons responded to the omission of the locally expected sound repeat at sequence ending, thus providing a chunking signal potentially useful for establishing global sequence structure. When this global structure was violated, by either shortening the sequence or ending it with a locally expected but globally unexpected sound transition, activity slightly increased in VIP and PV neurons respectively. Hence, distinct cellular mechanisms predict different regularity levels in sound sequences.
DOI: 10.5281/zenodo.14027003
title: Data from: Parallel mechanisms signal a hierarchy of sequence structure violations in the auditory cortex

description: The brain predicts regularities in sensory inputs at multiple complexity levels, with neuronal mechanisms that remain elusive. Here, we monitored auditory cortex activity during the local-global paradigm, a protocol nesting different regularity levels in sound sequences. We observed that mice encode local predictions based on stimulus occurrence and stimulus transition probabilities, because auditory responses are boosted upon prediction violation. This boosting was due to both short-term adaptation and an adaptation-independent surprise mechanism resisting anesthesia. In parallel, and only in wakefulness, VIP interneurons responded to the omission of the locally expected sound repeat at sequence ending, thus providing a chunking signal potentially useful for establishing global sequence structure. When this global structure was violated, by either shortening the sequence or ending it with a locally expected but globally unexpected sound transition, activity slightly increased in VIP and PV neurons respectively. Hence, distinct cellular mechanisms predict different regularity levels in sound sequences.
DOI: 10.15468/dl.2662y7
title: Occurrence Download

description: A dataset containing 175433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Milvus milvus (Linnaeus, 1758)"
 ]
}

 The dataset includes 175433 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012069-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9w5fk
title: Occurrence Download

description: A dataset containing 76137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Alauda arvensis Linnaeus, 1758",
 "Year 2019-2024"
 ]
}

 The dataset includes 76137 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012089-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/6032581
title: The English Game
DOI: 10.15468/dl.44q8h7
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Emberiza schoeniclus schoeniclus",
 "Year 2019-2024"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012092-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nq3bs8
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Venezuela (Bolivarian Republic of)",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 288 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012093-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13341137
title: Data for "A combined experimental and computational exploration of heteroleptic cis-Pd2L2L'2 nanocages through geometric complementarity"
title: tarzia_lewis_2024

description: In the following subdirectories are the input and output of GFN2-xTB and DFT calculations for this publication:

 

chemrxiv: https://doi.org/10.26434/chemrxiv-2024-s0mmw

 

Published: https://doi.org/10.1002/chem.202403336

 

Code repository: github.com/andrewtarzia/simple_het_construction

Zenodo code DOI: 10.5281/zenodo.13649229

 

data directory:





a spreadsheet with all final energy values and exchange energy calculations

CSD Survey data, NPd_survey_data_261119.csv, for Pd centres



Naming convention for file conversions:





l1: 1DBF

l2: 1Ph

l3: 1Th

la: 2DBF

lb: 2Py

lc: 2Ph

ld: 2Th



Structure naming convention: 





 mX indicates a homoleptic cage with X Pd atoms, cis/trans are the cis/trans heteroleptic cages, respectively





 

structures/xtb directory:






contains the structures from GFN2-xTB/ALPB(DMSO) optimisations of stk-generated structures   



 

structures/opt_*METHOD*_SP_*METHOD*_06-02-2024 directories:





All DFT was run by Victor Posligua

contains the input files (.com), output files (.log) and structure files (.xyz/.mol) of DFT optimisations and single point energy calculations with each method

When the opt method and SP method are the same, the final structure is included in .mol and .xyz formats

However, if opt method is different from the SP method, the final structure is not included because only a single-point energy calculation was run. 

For example, there are no .mol or .xyz files for 'opt_PBE0_SP_B3LYP_06-02-2024’ since the structure is already in 'opt_PBE0_SP_PBE0_06-02-2024’.

you’ll find 8 different folders:



opt_PBE0_SP_PBE0_06-02-2024

opt_PBE0_SP_B3LYP_06-02-2024

opt_PBE0_SP_B97D3_06-02-2024

opt_PBE0_SP_HSE_06-02-2024

opt_B3LYP_SP_B3LYP_06-02-2024

opt_B97D3_SP_B97D3_06-02-2024

opt_HSE_SP_HSE_06-02-2024

opt_GFN2-xTB_SP_PBE0_06-02-2024
DOI: 10.5281/zenodo.13341138
title: Data for "A combined experimental and computational exploration of heteroleptic cis-Pd2L2L'2 nanocages through geometric complementarity"
title: tarzia_lewis_2024

description: In the following subdirectories are the input and output of GFN2-xTB and DFT calculations for this publication:

 

chemrxiv: https://doi.org/10.26434/chemrxiv-2024-s0mmw

 

Published: TBD

 

Code repository: github.com/andrewtarzia/simple_het_construction

Zenodo code DOI: 10.5281/zenodo.13649229

 

data directory:





a spreadsheet with all final energy values and exchange energy calculations

CSD Survey data, NPd_survey_data_261119.csv, for Pd centres



Naming convention for file conversions:





l1: 1DBF

l2: 1Ph

l3: 1Th

la: 2DBF

lb: 2Py

lc: 2Ph

ld: 2Th



Structure naming convention: 





 mX indicates a homoleptic cage with X Pd atoms, cis/trans are the cis/trans heteroleptic cages, respectively





 

structures/xtb directory:






contains the structures from GFN2-xTB/ALPB(DMSO) optimisations of stk-generated structures   



 

structures/opt_*METHOD*_SP_*METHOD*_06-02-2024 directories:





All DFT was run by Victor Posligua

contains the input files (.com), output files (.log) and structure files (.xyz/.mol) of DFT optimisations and single point energy calculations with each method

When the opt method and SP method are the same, the final structure is included in .mol and .xyz formats

However, if opt method is different from the SP method, the final structure is not included because only a single-point energy calculation was run. 

For example, there are no .mol or .xyz files for 'opt_PBE0_SP_B3LYP_06-02-2024’ since the structure is already in 'opt_PBE0_SP_PBE0_06-02-2024’.

you’ll find 8 different folders:



opt_PBE0_SP_PBE0_06-02-2024

opt_PBE0_SP_B3LYP_06-02-2024

opt_PBE0_SP_B97D3_06-02-2024

opt_PBE0_SP_HSE_06-02-2024

opt_B3LYP_SP_B3LYP_06-02-2024

opt_B97D3_SP_B97D3_06-02-2024

opt_HSE_SP_HSE_06-02-2024

opt_GFN2-xTB_SP_PBE0_06-02-2024
DOI: 10.5281/zenodo.13923130
title: Data for "A combined experimental and computational exploration of heteroleptic cis-Pd2L2L'2 nanocages through geometric complementarity"
title: tarzia_lewis_2024

description: In the following subdirectories are the input and output of GFN2-xTB and DFT calculations for this publication:

 

chemrxiv: https://doi.org/10.26434/chemrxiv-2024-s0mmw

 

Published: https://doi.org/10.1002/chem.202403336

 

Code repository: github.com/andrewtarzia/simple_het_construction

Zenodo code DOI: 10.5281/zenodo.13649229

 

data directory:





a spreadsheet with all final energy values and exchange energy calculations

CSD Survey data, NPd_survey_data_261119.csv, for Pd centres



Naming convention for file conversions:





l1: 1DBF

l2: 1Ph

l3: 1Th

la: 2DBF

lb: 2Py

lc: 2Ph

ld: 2Th



Structure naming convention: 





 mX indicates a homoleptic cage with X Pd atoms, cis/trans are the cis/trans heteroleptic cages, respectively





 

structures/xtb directory:






contains the structures from GFN2-xTB/ALPB(DMSO) optimisations of stk-generated structures   



 

structures/opt_*METHOD*_SP_*METHOD*_06-02-2024 directories:





All DFT was run by Victor Posligua

contains the input files (.com), output files (.log) and structure files (.xyz/.mol) of DFT optimisations and single point energy calculations with each method

When the opt method and SP method are the same, the final structure is included in .mol and .xyz formats

However, if opt method is different from the SP method, the final structure is not included because only a single-point energy calculation was run. 

For example, there are no .mol or .xyz files for 'opt_PBE0_SP_B3LYP_06-02-2024’ since the structure is already in 'opt_PBE0_SP_PBE0_06-02-2024’.

you’ll find 8 different folders:



opt_PBE0_SP_PBE0_06-02-2024

opt_PBE0_SP_B3LYP_06-02-2024

opt_PBE0_SP_B97D3_06-02-2024

opt_PBE0_SP_HSE_06-02-2024

opt_B3LYP_SP_B3LYP_06-02-2024

opt_B97D3_SP_B97D3_06-02-2024

opt_HSE_SP_HSE_06-02-2024

opt_GFN2-xTB_SP_PBE0_06-02-2024
DOI: 10.15468/dl.nyrf5r
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Cuba",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 175 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012095-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgw6ef
title: Occurrence Download

description: A dataset containing 14441 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cetorhinus maximus (Gunnerus, 1765)"
 ]
}

 The dataset includes 14441 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012094-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uacy9m
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe",
 "Geometry POLYGON((2.7493247399565064 48.51205798142832,6.749324739956506 48.51205798142832,6.749324739956506 52.51205798142832,2.7493247399565064 52.51205798142832,2.7493247399565064 48.51205798142832))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2014-2024"
 ]
}

 The dataset includes 65 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012097-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pe94gu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Timor-Leste",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012098-241107131044228/datasets/export for details.
DOI: 10.15468/dl.gn62y8
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Viet Nam",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 228 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012099-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58132/iiqgbq
title: Community evaluation survey data in Old Dongola 2021

description: This dataset includes the community survey forms in English and Arabic, the collected data, and the responses of the open-end answers in Arabic and their translation in English.A structured questionnaire, consisted of 43 questions, was used for a community survey in Ghaddar in 2021. Ghaddar is an administrative town of the Old Dongola Unit, Goulid County, Northern State of the Republic of Sudan, with the population around 6000. Ghaddar is located in the immediate north of the archaeological site, Old Dongola.The aim of the survey was to understand the community’s life, experiences and perspective towards archaeology and heritage, ideas about tourism and related development, and the evaluation of the engagement programmes conducted at Old Dongola from 2019 to 2020.The 43 single or multiple-choice questions were divided into seven themes; 1) life in Ghaddar, 2) archaeological works in the area, 3) benefits of archaeological work in Old Dongola, 4) benefits from tourism development, 5) heritage and archaeology, 6) community engagement programmes, 7) demographic questions.The questions in Themes 1) to 4) and 7) are the same as the first community survey and was developed by Katarzyna Radziwiłko and Tomomi Fushiya (Polish Centre of Mediterranean Archaeology, University of Warsaw) in 2019. The first survey questionnaire was developed in English and was translated into Arabic by Mohamed Hassan Siedahmed. The survey questionnaire that was used in the survey 2019 was modified in 2021, by Tomomi Fushiya, to combine with an evaluation of community engagement programmes; two questions were added under Theme 5), and five questions under the new theme, Theme 6). The Tohamy Abulghasim translated the additional questions.A random sampling method was applied to collect the data in Ghaddar. The collection of the data was carried out by three local recent graduates (Umm Salma Abu AlZine Mohamed, Manal Mohamed, Wafa Ahmed), the head of tourism office (Abeer Babiker), and Tohamy Abulghasim, under the supervision of Tomomi Fushiya, in five different areas of Ghaddar from 6 to 15 February 2021. 195 respondents answered the questionnaire and six were considered defective due to incomplete responses and were omitted from the analysis. The analysed responses were in total 189 (Women: 95; Men 89; No answer 5). The collected data was entered to SPSS by Tomomi Fushiya for frequency and tabulation analyses.The data collection was carried out as a part of the Dialogue community engagement project (2019-2022) within the framework of a multidisciplinary project, ArchaeoCDN. Archaeological Centre of Scientific Excellence, led by Dr. hab. Artur Obłuski (PCMA, UW), funded by the Ministry of Science and Higher Education of the Republic of Poland.Tomomi Fushiya conducted the fieldwork at Old Dongola as a member of the PCMA, UW archaeological project, headed by Dr. hab. Artur Obłuski (the director of PCMA, UW). The PCMA, UW Old Dongola project has obtained research permission to work in Old Dongola from the National Corporation for Antiquities and Museums, Sudan.
DOI: 10.15468/dl.tagz4w
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Philippines",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 66 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012101-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hv47z
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.6208 41.1061,-8.6293 41.1124,-8.6376 41.1059,-8.6291 41.0996,-8.6208 41.1061))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 292 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012102-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uuzpqg
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia ordosica Krasch."
 ]
}

 The dataset includes 168 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012100-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/3dq9qm
title: DataSet_PSDR_VERSE.xlsx

description: :unav
DOI: 10.15156/bio/sh0184125.10fu
title: SH0184125.10FU

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/sh0184126.10fu
title: SH0184126.10FU

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/sh0184127.10fu
title: SH0184127.10FU

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/sh0184128.10fu
title: SH0184128.10FU

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.