cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1mqwcl
title: CCDC 1511540: Experimental Crystal Structure Determination

description: Related Article: David Schilter, Danielle L. Gray, Amy L. Fuller and Thomas B. Rauchfuss|2017|Aust.J.Chem.|70|505|doi:10.1071/CH16614
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.cc1mqwdm
title: CCDC 1511541: Experimental Crystal Structure Determination

description: Related Article: Hadi Gholami , Jun Zhang , Mercy Anyika, Babak Borhan|2017|Org.Lett.|19|1722|doi:10.1021/acs.orglett.7b00495
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.cc1mqwpx
title: CCDC 1511550: Experimental Crystal Structure Determination

description: Related Article: Dayne C. Georgiou, Mohammad A. Haghighatbin, Conor F. Hogan, Michael S. Scholz, James N. Bull, Evan J. Bieske, David J. D. Wilson, Jason L. Dutton|2017|Angew.Chem.,Int.Ed.|56|8473|doi:10.1002/anie.201702287
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.cc1mqwqy
title: CCDC 1511551: Experimental Crystal Structure Determination

description: Related Article: Dayne C. Georgiou, Mohammad A. Haghighatbin, Conor F. Hogan, Michael S. Scholz, James N. Bull, Evan J. Bieske, David J. D. Wilson, Jason L. Dutton|2017|Angew.Chem.,Int.Ed.|56|8473|doi:10.1002/anie.201702287
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.cc1mqwrz
title: CCDC 1511552: Experimental Crystal Structure Determination

description: Related Article: Yunlong Wu, Changkun Xia, Jun Qian, Jimin Xie|2017|J.Chem.Sci.(Bangalore,India)|129|1183|doi:10.1007/s12039-017-1319-x
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.cc1mqwv2
title: CCDC 1511555: Experimental Crystal Structure Determination

description: Related Article: Zhenhui Zhang, Kunkun Liu, Xun Chen, Shi-Jian Su, Yuanfu Deng, Wei Zeng|2017|RSC Advances|7|30554|doi:10.1039/C7RA04889K
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.cc1mqwx4
title: CCDC 1511557: Experimental Crystal Structure Determination

description: Related Article: Zhen-Yuan Liao, Pen-Yuan Liao, Tun-Cheng Chien|2016|Chem.Commun.|52|14404|doi:10.1039/C6CC08601B
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: 10.3886/e226021
title: Number of Accountable Care Organization Assigned Beneficiaries by County

description: The Shared Savings Program Number of Accountable Care Organization Assigned Beneficiaries by County dataset provides aggregate data of total assigned beneficiaries by Shared Savings Program ACO for each county where at least one of their assigned beneficiaries resides. Assigned beneficiary person-year counts are based on certified Shared Savings Program ACO Participant Lists and assignment methodology for that performance year. DISCLAIMER: This information is current as of the last update. Changes to Shared Savings Program ACO information occur periodically. Each Shared Savings Program ACO has the most up-to-date information about their organization. Consider contacting the Shared Savings Program ACO for the latest information. Contact information is available in the ACO Public Use File (PUF) and the ACO Participants PUF.Resources for Using and Understanding the DataThis dataset of assigned beneficiary person-year counts are based on the certified Shared Savings Program ACO Participant List and assignment methodology for that performance year.
DOI: 10.3886/e226021v1
title: Number of Accountable Care Organization Assigned Beneficiaries by County

description: The Shared Savings Program Number of Accountable Care Organization Assigned Beneficiaries by County dataset provides aggregate data of total assigned beneficiaries by Shared Savings Program ACO for each county where at least one of their assigned beneficiaries resides. Assigned beneficiary person-year counts are based on certified Shared Savings Program ACO Participant Lists and assignment methodology for that performance year. DISCLAIMER: This information is current as of the last update. Changes to Shared Savings Program ACO information occur periodically. Each Shared Savings Program ACO has the most up-to-date information about their organization. Consider contacting the Shared Savings Program ACO for the latest information. Contact information is available in the ACO Public Use File (PUF) and the ACO Participants PUF.Resources for Using and Understanding the DataThis dataset of assigned beneficiary person-year counts are based on the certified Shared Savings Program ACO Participant List and assignment methodology for that performance year.
DOI: 10.5281/zenodo.15240453
title: BSA Release under Gamma Irradiation
DOI: 10.5281/zenodo.15240454
title: BSA Release under Gamma Irradiation
DOI: 10.15468/dl.rjbsz7
title: Occurrence Download

description: A dataset containing 100325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "TaxonKey is Halyomorpha halys (Stål, 1855)"
 ]
}

 The dataset includes 100325 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005530-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rag5fn
title: Occurrence Download

description: A dataset containing 1805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Hartlaubius auratus (Statius Muller, 1776)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1805 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073061-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57783/ef1g-x992
title: LibreChat-DEV
DOI: 10.57783/hb2h-st19
title: LibreChat-TEST
DOI: 10.34740/kaggle/dsv/12307170
title: BITCOIN Historical Datasets 2018-2025 Binance API
DOI: 10.5281/zenodo.15746668
title: Metabolite-mediated trophic interactions: Long-term responses of Thalassiosira weissflogii to high CO₂ and warming have cascading effects on consumer metabolism

description: Overview

This dataset contains measurements of metabolite contents and physiological parameters of the marine diatom Thalassiosira weissflogii and associated feeding experiments on clams. The dataset was generated as part of a study examining the effects of high CO2, warming, and their combination on T. weissflogii and downstream impacts on clams.

 

Files Included

File #1: Tw-meta_intensity_all_noknn.xls

Description: Absolute contents of 164 metabolites in T. weissflogii under four experimental conditions.

Columns:

Compound_ID: Unique identifier for each metabolite.

Name: Common name of the metabolite.

Group: Classification of the metabolite (e.g., amino acids, fatty acids, organic acids).

HMDB: Human Metabolome Database annotation for the metabolite.

Control_1, Control_2, Control_3: Replicates for ambient condition.

CO2_1, CO2_2, CO2_3: Replicates for high CO2 condition.

Tem_1, Tem_2, Tem_3: Replicates for warming condition.

TC_1, TC_2, TC_3: Replicates for high CO2 + warming condition.

QC_1, QC_2: Quality control samples.

Units: nmol/g.

 

 

File #2: Clams-meta_intensity_all_noknn.xls

Description: Metabolite contents in clams after feeding on T. weissflogii cultured under four experimental conditions for three weeks.

Structure: Same as File #1.

Units: nmol/g.

 

 

File #3: Physiological responses of T. weissflogii.xlsx

Description: Physiological measurements of T. weissflogii under four experimental conditions. Contains three sheets:

Sheet 1: Particulate organic carbon (POC) content (pg/cell).

Sheet 2: Particulate nitrogen (PON) content (pg/cell).

Sheet 3: Specific growth rate (μ, d⁻¹).

Conditions:

LCLT: Ambient.

LCHT: Warming.

HCLT: High CO2.

HCHT: High CO2 + warming.

Units: POC and PON in pg/cell; growth rate in d⁻¹.

 

 

Relationships Between Files





File #1 and File #2: Provide complementary insights into the effects of environmental conditions on T. weissflogiimetabolites and subsequent effects on clams.




File #3: Contains physiological context for interpreting metabolic changes observed in File #1 and their potential impact on clams in File #2.



 

 

How to Use the Data

Refer to File #1 for metabolic profiling of T. weissflogii.

Use File #2 to explore the downstream impacts of T. weissflogii metabolites on clam metabolism.

Use File #3 for physiological measurements of T. weissflogii under different conditions to understand growth and nutrient dynamics.
DOI: 10.34847/nkl.223baxkj
title: 03_testo_agrinion_0094

description: 1.0
description: normale
description: progressiva
description: regolare
description: 1897.0
description: 1894.0
description: 1899.0
description: Source: Socal, Michela
description: Temporal: epoca ellenistica
description: Temporal: -299.0
description: Temporal: -100.0
description: Temporal: III - II secolo a.C.
description: Temporal: 1909.0
description: modified: 14/06/2018
description: temporal: epoca ellenistica
description: temporal: -299.0
description: temporal: -100.0
description: temporal: III - II secolo a.C.
description: temporal: 1909.0
DOI: 10.5281/zenodo.15760359
title: Temporaxis Forecast Logs (Recursive Collapse Forecasting Archive)

description: This forecast was generated using the Temporaxis Topological Forecasting Engine, which applies recursive motif detection and divergence-based collapse modeling to evaluate solar active regions. The system identifies phase-state instabilities that may lead to elevated X-ray flare activity.

The engine is currently in its tuning phase. Forecast outputs reflect internally derived collapse signatures and topological risk structures.

Temporaxis is a patent-pending system.

Morning forecasts are run between 10:30 and 11:30 AM, and evening forecasts are run between 6:00 and 9:00 PM, aligned with strict pre-validation protocols.

Weekly validation logs will be published each Monday morning to summarize flare outcomes, prediction accuracy, and model performance.
DOI: 10.34847/nkl.22517tj9
title: The Greek Mathematical Corpus: a Quantitative Appraisal (database)
DOI: 10.15468/dl.ty4dgy
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acropora cervicornis (Lamarck, 1816)"
 ]
}

 The dataset's 4 records were derived from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073070-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrcp8p
title: Occurrence Download

description: A dataset containing 3129385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stellaria media (L.) Vill., Urtica dioica L., Angelica sylvestris L., Vicia cracca L., Tripleurospermum inodorum (L.) Sch.-Bip)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 3129385 records from 2484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073063-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/cnv9-9n29
title: Fourth Musquacook water chemistry dataset

description: Raw data for the Fourth Musquacook water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/zgcb-x249
title: Long (Jackman) water chemistry dataset

description: Raw data for the Long (Jackman) water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.t9xefp
title: Occurrence Download

description: A dataset containing 957432 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natural History Museum Rotterdam - Observations"
 ]
}

 The dataset includes 957432 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018862-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11388810
title: Layline Shareholder activism dataset
DOI: 10.15156/bio/sh1069715.10fu
title: SH1069715.10FU

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/sh1069722.10fu
title: SH1069722.10FU

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/sh1069723.10fu
title: SH1069723.10FU

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/sh1069728.10fu
title: SH1069728.10FU

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/sh1069731.10fu
title: SH1069731.10FU

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/sh1069738.10fu
title: SH1069738.10FU

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/sh1069742.10fu
title: SH1069742.10FU

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.