cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/fc28fa90-cba2-485a-9221-033be73a0e04.v2
title: Raw data of molecular analyses (SEM-EDX, ATR-FTIR, Raman, and GC-MS) of adhesive residues from Morín Cave (Spain)

description: The dataset contains data collected as part of the Ancient Adhesives project under the European Union’s Horizon 2020 research and innovation programme Grant Agreement No. 678 804151 (Grant holder G.H.J.L.).It is being made public to act as supplementary data for a publication and for other researchers to use this data in their own work.The data in this dataset were collected at TUDelft, University of Cantabria, and Museum of Prehistory and Archaeology of Cantabria in 2023.This dataset contains:Raw data for SEM-EDX of 11 archaeological objects named: MOR2; MOR4; MOR9; MOR12; MOR13; MOR17; MOR22; MOR35; MOR42; MOR50: MOR59. The file format is .pdfRaw data for micro-Raman of 6 archaeological objects named MOR2; MOR4; MOR9; MOR13; MOR22; MOR59. Raw-data for micro-Raman of 5 experimentally recreated adhesive samples: pine tar, birch tar, pine resin, beeswax, pine resin+beeswax, Ppine resin+beeswax+hematite. The analysis was performed with 532 and 785 laser lines. The file formats are .txt and .csvRaw data for ATR-FTIR of 7 archaeological objects and 1 sediment sample named: MOR11; MOR38; MOR40a; MOR43; MOR44; MOR46; MOR47; MORSediment. The file format is .csvRaw data for GC-MS of 23 archaeological objects (including sub-samples) and 2 sediment samples named: 230404 MOR 1.1.sirslt; 230404 MOR 5.1.sirslt; 230404 MOR 14.1.sirslt; 230404 MOR 24.1.sirslt; 230404 MOR 26.1.sirslt; 230404 MOR 28.1.sirslt; 230404 MOR 32.1.sirslt; 230404 MOR 43.1.sirslt; 230404 MOR 49.1.sirslt; 230404 MOR 57.1.sirslt; 230404 MOR 58.1.sirslt; 230421 MOR 5a.s.sirslt; 230421 MOR 11.1.sirslt; 230421 MOR 40a.3.sirslt; 230421 MOR 45.1.sirslt; 230421 MOR 47.2.sirslt; 230421 MOR 61.1.sirslt; 230421 MOR62.2.sirslt; 20220718 MOR25_1.sirslt; 20220718 MOR25_2.sirslt; 20220718 MOR38_1.sirslt; 20220718 MOR38_2.sirslt; 20220718 MOR40a_1.sirslt; 20220718 MOR40a_2.sirslt; 20220718 MOR47_1.sirslt; 20230316 MOR_41.1.sirslt; 20230316 MOR_44.1.sirslt; 20230316 MOR_46.1.sirslt; 20230316 MOR_60.1.sirslt; 20231024_MOR_SED 10.sirslt. Each.sirslt file contains the files necessary to open and manipulate the data using the original software Agilent OpenLab 2.5. Within each file there is a .DX file (for opening with Agilent OpenLab 2.5) and accompanying .ACAML, .DX, .MFX, .BIN, .RX, .PMX, and .AMX files. In addition, a .xlsx file (Morin GC-MS results.xlsx) is provided. Each sheet contains the complete GC-MS data exported for samples analyzed as well as the MS data and automated molecular data against the National Institute of Standards and Technology (NIST) library.The acronym MOR stands for Morín<strong> </strong>Cave, a cave in Cantabria (Spain) where the objects were found.The data included in this dataset has been organized per method. For each specimen, more than one point was measured as indicated in the file name. Only the measurements with interpretable results are made available.The file name includes the unique ID of the object + the analytical technique + the number of the scan. For example: MOR11_ATR_loc1
DOI: 10.15468/dl.76xysm
title: Occurrence Download

description: A dataset containing 2278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Cervus nippon Temminck, 1838",
 "Year 1990-2010"
 ]
}

 The dataset includes 2278 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009778-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/d6c4bb4c-fa4c-441a-888e-2ac8b8d9468c
title: Data and code: Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work

description: This folder contains the data and code related to the paper below:<br>de Groot, E. C. S., & Gadiraju, U. (2024, May). " Are we all in the same boat?" Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-26).<br>Paper abstract:Human intelligence continues to be essential in building ground-truth data, training sets, and for evaluating a plethora of systems. The democratized and distributed nature of online crowd work — an attractive and accessible feature that has led to the proliferation of the paradigm — has also meant that crowd workers may not always feel connected to their remote peers. Despite the prevalence of collaborative crowdsourcing practices, workers on many microtask crowdsourcing platforms work on tasks individually and are seldom directly exposed to other crowd workers. In this context, improving worker engagement on microtask crowdsourcing platforms is an unsolved challenge. At the same time, fostering a sense of community among workers can improve the sustainability and working conditions in crowd work. This work aims to increase worker engagement in conversational microtask crowdsourcing by leveraging evolving avatars that workers can customize as they progress through monotonous task batches. We also aim to improve group identification in individual tasks by creating a community space where workers can share their avatars and feelings on task completion. To this end, we carried out a preregistered between-subjects controlled study (N = 680) spanning five experimental conditions and two task types. We found that evolving and customizable worker avatars can increase worker retention. The prospect of sharing worker avatars and task-related feelings in a community space did not consistently affect group identification. Our exploratory analysis indicated that workers who identify themselves as crowd workers experienced greater intrinsic motivation, subjective engagement, and perceived workload. Furthermore, we discuss how task differences shape the relative effectiveness of our interventions. Our findings have important theoretical and practical implications for designing conversational crowdsourcing tasks and in shaping new directions for research to improve crowd worker experiences.
DOI: 10.4121/d6c4bb4c-fa4c-441a-888e-2ac8b8d9468c.v1
title: Data and code: Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work

description: This folder contains the data and code related to the paper below:<br>de Groot, E. C. S., & Gadiraju, U. (2024, May). " Are we all in the same boat?" Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-26).<br>Paper abstract:Human intelligence continues to be essential in building ground-truth data, training sets, and for evaluating a plethora of systems. The democratized and distributed nature of online crowd work — an attractive and accessible feature that has led to the proliferation of the paradigm — has also meant that crowd workers may not always feel connected to their remote peers. Despite the prevalence of collaborative crowdsourcing practices, workers on many microtask crowdsourcing platforms work on tasks individually and are seldom directly exposed to other crowd workers. In this context, improving worker engagement on microtask crowdsourcing platforms is an unsolved challenge. At the same time, fostering a sense of community among workers can improve the sustainability and working conditions in crowd work. This work aims to increase worker engagement in conversational microtask crowdsourcing by leveraging evolving avatars that workers can customize as they progress through monotonous task batches. We also aim to improve group identification in individual tasks by creating a community space where workers can share their avatars and feelings on task completion. To this end, we carried out a preregistered between-subjects controlled study (N = 680) spanning five experimental conditions and two task types. We found that evolving and customizable worker avatars can increase worker retention. The prospect of sharing worker avatars and task-related feelings in a community space did not consistently affect group identification. Our exploratory analysis indicated that workers who identify themselves as crowd workers experienced greater intrinsic motivation, subjective engagement, and perceived workload. Furthermore, we discuss how task differences shape the relative effectiveness of our interventions. Our findings have important theoretical and practical implications for designing conversational crowdsourcing tasks and in shaping new directions for research to improve crowd worker experiences.
DOI: 10.15468/dl.adex3t
title: Occurrence Download

description: A dataset containing 5085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((30.1461 60.40169,30.42338 60.40169,30.42338 60.59553,30.1461 60.59553,30.1461 60.40169))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5085 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009873-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96hkyj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrostichus phyllocnistoides (Narayanan, 1960)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009875-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyy5xz
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypselotriton orientalis David, 1873"
 ]
}

 The dataset includes 119 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009876-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/8d7d0684aee746e2
title: Custom collection of categorize, and classification data from Limassol between 19 Oct 2016 and 10 Mar 2025
DOI: 10.15468/dl.mgex32
title: Occurrence Download

description: A dataset listing the 26 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "StateProvince is Xizang",
 "TaxonKey is Pinaceae"
 ]
}

 The dataset's 26 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009874-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14646111
title: High-Resolution Total Surface Currents

description: Total Ocean Surface (TSC) Current Radial Velocity (RVL) derived from Doppler Centroid Anomaly acquired by Sentinel-1A/B SAR. Calibration is applied based on the land-based signal to correct instrumental errors. The wind- and wave-induced signal is removed using empirical geophysical model function based on auxiliary wind/wave model fields.
DOI: 10.5281/zenodo.14646112
title: High-Resolution Total Surface Currents

description: Total Ocean Surface (TSC) Current Radial Velocity (RVL) derived from Doppler Centroid Anomaly acquired by Sentinel-1A/B SAR. Calibration is applied based on the land-based signal to correct instrumental errors. The wind- and wave-induced signal is removed using empirical geophysical model function based on auxiliary wind/wave model fields.
DOI: 10.15468/dl.7a49ju
title: Occurrence Download

description: A dataset containing 794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Locusta migratoria migratoria"
 ]
}

 The dataset includes 794 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009878-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twvxnc
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Didymodon anserinocapitatus (X.J.Li) R.H.Zander",
 "Year 1970-2025"
 ]
}

 The dataset includes 63 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009781-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgzeej
title: Occurrence Download

description: A dataset containing 288136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 288136 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009776-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfhma4
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitidula flavomaculata Rossi, 1790",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 138 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009783-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63rsjv
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus monozonus (Friese, 1931)"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009782-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsvyk3
title: Occurrence Download

description: A dataset containing 2775 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CeDoc de Biodiversitat Vegetal: BCN- Algues de J. Rodríguez Femenías"
 ]
}

 The dataset includes 2775 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009784-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnftyk
title: Occurrence Download

description: A dataset containing 11577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ephedraceae"
 ]
}

 The dataset includes 11577 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009879-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkp9w8
title: Occurrence Download

description: A dataset containing 11937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Dama dama (Linnaeus, 1758)",
 "Year 1990-2010"
 ]
}

 The dataset includes 11937 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009880-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgud6z
title: Occurrence Download

description: A dataset listing the 149 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emberiza Linnaeus, 1758",
 "Year 1000-2025"
 ]
}

 The dataset's 149 records were derived from 5311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009877-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive5897.20251217.10
title: Natronomonas pharaonis (Soliman and Trüper 1983) Kamekura et al. 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5898.20250331.9.3
title: Natronomonas moolapensis Burns et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0073935.10fu
title: SH0073935.10FU

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: 10.13145/bacdive5898.20251217.10
title: Natronomonas moolapensis Burns et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5899.20250331.9.3
title: Natronorubrum tibetense Xu et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0073936.10fu
title: SH0073936.10FU

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: 10.5281/zenodo.17098454
title: Sendov conjecture proof
title: Proof of degree n complexe polynomials for sendov conjecture

description: Title: General Proof of Sendov's Conjecture

 

Description:

This paper provides a comprehensive proof of Sendov's conjecture for all degrees of monic polynomials with zeros in the unit disk. The conjecture states that for every zero of such a polynomial, there exists a critical point (zero of the derivative) within distance one.

 

The proof combines classical and modern tools, including Newton's identities, Jacobian formulas, Vandermonde matrices, density lemmas, blow-up techniques, and detailed $\varepsilon$–$\delta$ control of zeros. The case $n=9$ is treated explicitly, with all intermediate lemmas and combinatorial structures detailed. The argument is then extended to all degrees via descending induction, relying on known results for lower-degree polynomials.

 

A supplementary section provides rigorous treatment of small perturbations of zeros, ensuring the robustness of critical point behavior. This work is intended for researchers in complex analysis, algebra, and polynomial dynamics, offering a detailed and self-contained argument for Sendov's conjecture.

 

Author: Zakarya Benregreg

Contact: zakibeny@gmail.com

00213556142305
DOI: 10.5281/zenodo.17098455
title: Sendov conjecture proof
title: Proof of degree n complexe polynomials for sendov conjecture

description: Title: General Proof of Sendov's Conjecture

 

Description:

This paper provides a comprehensive proof of Sendov's conjecture for all degrees of monic polynomials with zeros in the unit disk. The conjecture states that for every zero of such a polynomial, there exists a critical point (zero of the derivative) within distance one.

 

The proof combines classical and modern tools, including Newton's identities, Jacobian formulas, Vandermonde matrices, density lemmas, blow-up techniques, and detailed $\varepsilon$–$\delta$ control of zeros. The case $n=9$ is treated explicitly, with all intermediate lemmas and combinatorial structures detailed. The argument is then extended to all degrees via descending induction, relying on known results for lower-degree polynomials.

 

A supplementary section provides rigorous treatment of small perturbations of zeros, ensuring the robustness of critical point behavior. This work is intended for researchers in complex analysis, algebra, and polynomial dynamics, offering a detailed and self-contained argument for Sendov's conjecture.

 

Author: Zakarya Benregreg

Contact: zakibeny@gmail.com

00213556142305
DOI: 10.13145/bacdive5899.20251217.10
title: Natronorubrum tibetense Xu et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.