cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11476029
title: Collection of supplementary materials for the paper "Clonal analysis of murine development reveals novel positional programs directing lineage progression"

description: This is the collection of supplementary materials for the paper “Clonal analysis of murine development reveals novel positional programs directing lineage progression” (Erickson et al.).

All AnnData containers have normalized expressions stored in adata.X and raw counts stored in adata.layers["counts"]. In clone2vec AnnData objects fractions of the clone within the fate ([0; 1]) are stored in adata.X, and cell counts are stored in adata.layers["counts"].

This repository contains:



Plasmids.zip — the archive with plasmids maps and additional sequences / CRISPR gRNAs descriptions that were used to build chimeric references,

AnnDatas_control_trunk.zip — the archive with AnnData objects for control mice (trunk samples) — with all cells or with major domains of cells (neurons, mesenchyme, neural crest-derived, and others) + clonal embedding for all cells,

AnnDatas_control_head.zip — the archive with AnnData objects for control mice (head samples) — with all cells or with major domains of cells (neurons, mesenchyme, and others) + clonal embedding for all cells,

AnnDatas_perturbed_trunk.zip — the archive with AnnData objects for control and perturbed mice (trunk samples) — with all cells or with major domains of cells (neurons, mesenchyme, neural crest-derived, and others) + clonal embeddings for NC-derived cells and all cells,

AnnDatas_perturbed_head.zip — the archive with AnnData objects for control and perturbed mice (head samples) — with all cells or with major domains of cells (neurons, mesenchyme, and others) + clonal embedding for all cells.


The code for the analysis is available on GitHub. Please, feel free to contact us if you need additional data: sergey.isaev[at]meduniwien.ac.at.
DOI: 10.5281/zenodo.15397247
title: Collection of supplementary materials for the paper "Clonal analysis of murine development reveals novel positional programs directing lineage progression"

description: This is the collection of supplementary materials for the paper “Clonal analysis of murine development reveals novel positional programs directing lineage progression” (Erickson et al.).

All AnnData containers have normalized expressions stored in adata.X and raw counts stored in adata.layers["counts"]. In clone2vec AnnData objects fractions of the clone within the fate ([0; 1]) are stored in adata.X, and cell counts are stored in adata.layers["counts"].

This repository contains:



Plasmids.zip — the archive with plasmids maps and additional sequences / CRISPR gRNAs descriptions that were used to build chimeric references,

AnnDatas_Control_Trunk.zip — the archive with AnnData objects for control mice (trunk samples) — with all cells or with major domains of cells (neurons, mesenchyme, neural crest-derived, and others) + clonal embedding for all cells,

AnnDatas_Control_Head.zip — the archive with AnnData objects for control mice (head samples) — with all cells or with major domains of cells (neurons, mesenchyme, and others) + clonal embedding for all cells,

AnnDatas_Perturbed_Trunk.zip — the archive with AnnData objects for control and perturbed mice (trunk samples) — with all cells or with major domains of cells (neurons, mesenchyme, neural crest-derived, and others) + clonal embeddings for NC-derived cells and all cells,

AnnDatas_Perturbed_Head.zip — the archive with AnnData objects for control and perturbed mice (head samples) — with all cells or with major domains of cells (neurons, mesenchyme, and others) + clonal embedding for all cells.

AnnDatas_Lower_Trunk_NMP_NC.zip — the archive with AnnData objects for additionally sequenced control mice (lower trunk samples) — with all cells + clonal embedding for all cells.


The code for the analysis is available on GitHub. Please, feel free to contact us if you need additional data: sergey.isaev[at]meduniwien.ac.at.
DOI: 10.15468/dl.3rn56t
title: Occurrence Download

description: A dataset containing 14447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "StateProvince is Guangdong",
 "TaxonKey is Plantae",
 "Year 2011-2023"
 ]
}

 The dataset includes 14447 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023767-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbjqmq
title: Occurrence Download

description: A dataset containing 851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus shennongii, Quercus helferiana, Quercus hui, Quercus hypophaea, Quercus jenseniana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 851 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023768-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/zlcn2h
title: PAN-00173290 - high-flanged axe

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173290&lt;/p&gt;
description: Modified: 2025-06-17T12:01:37+02:00
DOI: 10.5281/zenodo.17793368
title: Thesis supplementary data

description: This dataset contains my doctoral thesis supplementary data, including four supplementary documents and one supplementary spreadsheet.
DOI: 10.5281/zenodo.17793367
title: Thesis supplementary data

description: This dataset contains my doctoral thesis supplementary data, including four supplementary documents and one supplementary spreadsheet.
DOI: 10.5281/zenodo.17546565
title: Huge Ensembles Heatwave Forecasting over North Africa: Case Study of 3 Low-Likelihood, High-Impact Events -- Data and Code

description: This repository holds data used in the manuscript titled: Huge Ensembles Heatwave Forecasting over North Africa: Case Study of 3 Low-Likelihood, High-ImpactEvents. Also, we have uploaded a sample of our code for reproducibility.
DOI: 10.5281/zenodo.17546564
title: Huge Ensembles Heatwave Forecasting over North Africa: Case Study of 3 Low-Likelihood, High-Impact Events -- Data and Code

description: This repository holds data used in the manuscript titled: Huge Ensembles Heatwave Forecasting over North Africa: Case Study of 3 Low-Likelihood, High-ImpactEvents. Also, we have uploaded a sample of our code for reproducibility.
DOI: 10.15468/dl.ubemfe
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus jinpinensis, Quercus kerrii, Quercus kiukiangensis, Quercus kouangsiensis, Quercus lamellosa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 431 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023769-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17797417
title: Самостоятельный соискатель Университета общественной безопасности Республики Узбекистан

description: В статье исследуются особенности организации ранней профилактики правонарушений в махаллях Республики Узбекистан, отнесенных к «красной» категории по уровню криминогенной обстановки. Анализируется национальная модель профилактики, основанная на трехуровневой системе классификации территорий, деятельности «махаллинской семерки» и адресных «дорожных карт». Рассматриваются нормативно-правовые основы, организационные механизмы и практические результаты реализации мер социальной профилактики в махаллях с высоким уровнем преступности. Особое внимание уделяется инновационным подходам к раннему предупреждению правонарушений, включая цифровизацию мониторинга общественной безопасности, усиление межведомственного взаимодействия и создание безопасной среды на местах.
DOI: 10.5281/zenodo.17797418
title: Самостоятельный соискатель Университета общественной безопасности Республики Узбекистан

description: В статье исследуются особенности организации ранней профилактики правонарушений в махаллях Республики Узбекистан, отнесенных к «красной» категории по уровню криминогенной обстановки. Анализируется национальная модель профилактики, основанная на трехуровневой системе классификации территорий, деятельности «махаллинской семерки» и адресных «дорожных карт». Рассматриваются нормативно-правовые основы, организационные механизмы и практические результаты реализации мер социальной профилактики в махаллях с высоким уровнем преступности. Особое внимание уделяется инновационным подходам к раннему предупреждению правонарушений, включая цифровизацию мониторинга общественной безопасности, усиление межведомственного взаимодействия и создание безопасной среды на местах.
DOI: 10.15468/dl.f6zr4d
title: Occurrence Download

description: A dataset containing 867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "StateProvince is Guangxi",
 "TaxonKey is Plantae",
 "Year 2011-2023"
 ]
}

 The dataset includes 867 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023770-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/50z3vl
title: PAN-00174816 - tap faucet (with pipe) B1

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00174816&lt;/p&gt;
description: Modified: 2025-05-27T15:23:17+02:00
DOI: 10.5281/zenodo.17796116
title: Family Level Synthesis Phylogeny of Extant Arthropoda and Related Phyla

description: A synthesis tree of 3,223 extant families of Panarthropods was created manually on Treegraph2 utilizing 200 phylogenetic and taxonomic sources. It is inteded for use for ecology, biogeogaphy, comparative biology, and, if possible, conservation research. A full explanation for the construction of the synthesis tree can be accessed in the Methods and References document. 

NOTE: Several families were mistakenly put into the tree twice (Dynomenidae, Erebonnasteridae, Laemobothriiae, Paraphronimidae, and Tegeocranellidae). Duplicates were removed, and the number of standing families is at 3,223.

NOTE2: Errors in the Stomatopod phylogeny were fixed with a redundant source removed. Some explanations in the Methods document were elaborated on.
DOI: 10.15468/dl.5xfuby
title: Occurrence Download

description: A dataset containing 44156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Antheraea polyphemus",
 "HasCoordinate is True"
 ]
}

 The dataset includes 44156 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023771-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgrqgs
title: Occurrence Download

description: A dataset containing 1404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus hainanica, Quercus litseoides, Quercus lobbii, Quercus longinux, Quercus morii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1404 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023772-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17797443
title: FORECASTING STREAM COMEBACKS: AI MODELS OF POST-RESTORATION WATER QUALITY IN THE NORTHEASTERN UNITED STATES

description: Stream restoration projects such as dam removals and culvert replacements are accelerating across the northeastern United States to improve aquatic habitat, enhance climate resilience, and restore water quality. Yet, practitioners still lack tools to reliably forecast the outcomes of these interventions—especially in predicting changes in sediment and particulate dynamics reflected by stream turbidity. This study develops and evaluates machine learning (ML) models to forecast post-restoration turbidity recovery trajectories across a regional cohort of restored stream sites. Using publicly available data from USGS sensors, the EPA Water Quality Portal, and North Atlantic Aquatic Connectivity Collaborative (NAACC) inventories, we train two model types: a Random Forest regressor and a Long Short-Term Memory (LSTM) neural network. These models predict daily turbidity over 6 to 24 months following restoration activities. Results show that both model types significantly outperform seasonal climatology baselines, with the Random Forest achieving lower RMSE and the LSTM better capturing temporal dynamics such as storm-driven turbidity spikes and post-disturbance recovery. Feature importance and uncertainty analyses highlight the roles of precipitation, streamflow, and restoration attributes (e.g., dam removal vs. culvert replacement) in shaping water-quality improvements. The findings demonstrate that AI-based forecasting can complement traditional monitoring and support data-driven decision-making in restoration planning, particularly under variable hydrologic conditions. This modeling framework provides a scalable, transferable approach for anticipating sediment stabilization and stream recovery following restoration across diverse watersheds in the Northeast.
DOI: 10.5281/zenodo.17797444
title: FORECASTING STREAM COMEBACKS: AI MODELS OF POST-RESTORATION WATER QUALITY IN THE NORTHEASTERN UNITED STATES

description: Stream restoration projects such as dam removals and culvert replacements are accelerating across the northeastern United States to improve aquatic habitat, enhance climate resilience, and restore water quality. Yet, practitioners still lack tools to reliably forecast the outcomes of these interventions—especially in predicting changes in sediment and particulate dynamics reflected by stream turbidity. This study develops and evaluates machine learning (ML) models to forecast post-restoration turbidity recovery trajectories across a regional cohort of restored stream sites. Using publicly available data from USGS sensors, the EPA Water Quality Portal, and North Atlantic Aquatic Connectivity Collaborative (NAACC) inventories, we train two model types: a Random Forest regressor and a Long Short-Term Memory (LSTM) neural network. These models predict daily turbidity over 6 to 24 months following restoration activities. Results show that both model types significantly outperform seasonal climatology baselines, with the Random Forest achieving lower RMSE and the LSTM better capturing temporal dynamics such as storm-driven turbidity spikes and post-disturbance recovery. Feature importance and uncertainty analyses highlight the roles of precipitation, streamflow, and restoration attributes (e.g., dam removal vs. culvert replacement) in shaping water-quality improvements. The findings demonstrate that AI-based forecasting can complement traditional monitoring and support data-driven decision-making in restoration planning, particularly under variable hydrologic conditions. This modeling framework provides a scalable, transferable approach for anticipating sediment stabilization and stream recovery following restoration across diverse watersheds in the Northeast.
DOI: 10.17026/ar/zspdz8
title: PAN-00121329 - terra sigillata cup type Drag. 33

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00121329&lt;/p&gt;
description: Modified: 2025-05-03T12:16:57+02:00
DOI: 10.5281/zenodo.17033777
title: Beal_Theory_Test_Program_and_Data_003

description: This is a program in python that can be used to determine the emperical collision rate of fermat quotients for a,b,c which we use to model the equation a^x + b^y = c^z, where a,b,c > 0, and coprime integers x,y,z >= 2 and integer.  In addition a summary generated by the program 10^6 triples is included along with graphical comparisons to theory.Another program that determins the sets S from the obstruction poynomials, andA third program that interprets the S set data.
DOI: 10.5281/zenodo.17797398
title: Beal_Theory_Test_Program_and_Data_003

description: This is a program in python that can be used to determine the emperical collision rate of fermat quotients for a,b,c which we use to model the equation a^x + b^y = c^z, where a,b,c > 0, and coprime integers x,y,z >= 2 and integer.  In addition a summary generated by the program 10^6 triples is included along with graphical comparisons to theory.Another program that determins the sets S from the obstruction poynomials, andA third program that interprets the S set data.
DOI: 10.6084/m9.figshare.29232368
title: <b>Improving Aerosol Absorption Estimates via Size-Resolved Constraints based on AERONET and In Situ Measurements</b>

description: ​MIE Model, Size Distribution
DOI: 10.6084/m9.figshare.29232368.v1
title: <b>Improving Aerosol Absorption Estimates via Size-Resolved Constraints based on AERONET and In Situ Measurements</b>

description: ​MIE Model, Size Distribution
DOI: 10.6084/m9.figshare.29232368.v2
title: <b>Improving Aerosol Absorption Estimates via Size-Resolved Constraints based on AERONET and In Situ Measurements</b>

description: ​MIE Model, Size Distribution
DOI: 10.17026/dans-xjm-cf9k
title: PAN-00029605 - early medieval figuratieve brooch group B (single lug)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00029605&lt;/p&gt;
description: Modified: 2025-06-09T09:45:31+02:00
DOI: 10.15468/dl.spght6
title: Occurrence Download

description: A dataset containing 1048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "StateProvince is Hainan",
 "TaxonKey is Plantae",
 "Year 2011-2023"
 ]
}

 The dataset includes 1048 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023775-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsd2cx
title: Occurrence Download

description: A dataset containing 26131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juncus acutus"
 ]
}

 The dataset includes 26131 records from 451 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023774-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r2r6n
title: Occurrence Download

description: A dataset containing 2899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus motuoensis, Quercus multinervis, Quercus myrsinifolia, Quercus bambusifolia, Quercus ningangensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2899 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023776-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.16647.25762
title: Elena Garro no se olvida, se le honra y se le cuida
DOI: 10.15468/dl.tducxp
title: Occurrence Download

description: A dataset containing 3532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cneoridium dumosum"
 ]
}

 The dataset includes 3532 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023777-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17797461
title: ''TARBIYA'' FANI ORQALI INSONPARVARLIK GʻOYALARINI SHAKLLANTIRISH YOʻLLARINI TAKOMILLASHTIRISH

description: Ushbu maqola "Tarbiya" fani orqali oʻquvchilarda insonparvarlik gʻoyalari va qadriyatlarini shakllantirishning mavjud yoʻllarini tahlil qilishga hamda ularni takomillashtirishning pedagogik-metodik asoslarini ishlab chiqishga bagʻishlangan.
DOI: 10.5281/zenodo.17797462
title: ''TARBIYA'' FANI ORQALI INSONPARVARLIK GʻOYALARINI SHAKLLANTIRISH YOʻLLARINI TAKOMILLASHTIRISH

description: Ushbu maqola "Tarbiya" fani orqali oʻquvchilarda insonparvarlik gʻoyalari va qadriyatlarini shakllantirishning mavjud yoʻllarini tahlil qilishga hamda ularni takomillashtirishning pedagogik-metodik asoslarini ishlab chiqishga bagʻishlangan.
DOI: 10.17026/ar/sknzvq
title: PAN-00178436 - button with cast solid (hollow-)convex head, integral relatively short rod shaped shank

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00178436&lt;/p&gt;
description: Modified: 2025-08-12T14:11:57+02:00
DOI: 10.15468/dl.789h6f
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "GbifId" : [
 "is one of (1321315841, 1321990980, 1319640038, 1322257383, 1318636487, 1317868777, 1318907499, 1317498604, 1318114540, 1322662731, 1321201871, 1318896495, 1320894975, 1321136089, 1322512509, 1320951102, 1322938847)"
 ]
}

 The dataset includes 17 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023778-251120083545085/datasets/export for details.
DOI: 10.15468/dl.5kgrrz
title: Occurrence Download

description: A dataset containing 1576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus arbutifolia, Quercus oxyodon, Quercus asymmetrica, Quercus phanera, Quercus poilanei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1576 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023779-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94qx6e
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "StateProvince is Chongqing",
 "TaxonKey is Plantae",
 "Year 2011-2023"
 ]
}

 The dataset includes 317 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023780-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6uu94
title: Occurrence Download

description: A dataset containing 13245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia apiana"
 ]
}

 The dataset includes 13245 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023781-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.