cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25562499.v1
title: Bristlecone Pine Maximum Latewood Density from the California White Mountains and March-to-September Temperature Reconstruction for American Southwest

description: Bristlecone pine (Pinus longaeva) (PILO) trees have an exceptional longevity. Their tree-ring width (TRW) series offer valuable insights into climatic variability. Maximum latewood density (MXD) typically correlates better with temperature variations than TRW, yet PILO MXD records are non-existent due to methodological challenges related to their tree-ring structure. Here, we used an X-ray Computed Tomography (X-ray CT) toolchain on 51 PILO cores from the California White Mountains to build a chronology that correlates significantly (r=0.66, p&lt;0.01) with warm-season (March-September) temperature over a large spatial extent. This led to the first X-ray CT-based temperature reconstruction (1625 – 2005 CE). Good reconstruction skill (RE=0.51, CE=0.32) shows that extending MXD records across the full length of the PILO archive could yield a robust warm-season temperature proxy for the American Southwest over millennia. This breakthrough opens avenues for measuring MXD in other challenging conifers, increasing our understanding of past climate further, particularly into the lower latitudes.<br>MAMJJAS_Tmean_reconstruction.txt - March-to-September mean temperature reconstruction for American Southwest (35° - 38° N; 119° - 115° W) based on the maximum latewood density of bristlecone pines from the California White MountainsPILO_MXD_RAW.rwl - raw measurements of the maximum latewood density of bristlecone pines from the California White Mountains derived from X-ray Computed TomographyPILO_MXD_chronology.txt - standardized chronology for maximum latewood density of bristlecone pines from the California White Mountains derived from X-ray Computed Tomography Matlab scripts folder contains scripts and related files to generate figures 2a,b,c, 3, 4 of the paper
DOI: 10.6084/m9.figshare.25562499.v2
title: Bristlecone Pine Maximum Latewood Density from the California White Mountains and April-to-September Temperature Reconstruction for American Southwest

description: Bristlecone pine (Pinus longaeva) (PILO) trees have an exceptional longevity. Their tree-ring width (TRW) series offer valuable insights into climatic variability. Maximum latewood density (MXD) typically correlates better with temperature variations than TRW, yet PILO MXD records are non-existent due to methodological challenges related to their tree-ring structure. Here, we used an X-ray Computed Tomography (X-ray CT) toolchain on 51 PILO cores from the California White Mountains to build a chronology that correlates significantly (r=0.66, p&lt;0.01) with warm-season (April-September) temperature over a large spatial extent. This led to the first X-ray CT-based temperature reconstruction (1625 – 2005 CE). Good reconstruction skill (RE=0.51, CE=0.32) shows that extending MXD records across the full length of the PILO archive could yield a robust warm-season temperature proxy for the American Southwest over millennia. This breakthrough opens avenues for measuring MXD in other challenging conifers, increasing our understanding of past climate further, particularly into the lower latitudes.<br>AMJJAS_Tmean_reconstruction.txt - March-to-September mean temperature reconstruction for American Southwest (35° - 38° N; 119° - 115° W) based on the maximum latewood density of bristlecone pines from the California White MountainsPILO_MXD_RAW.rwl - raw measurements of the maximum latewood density of bristlecone pines from the California White Mountains derived from X-ray Computed TomographyPILO_MXD_chronology.txt - standardized chronology for maximum latewood density of bristlecone pines from the California White Mountains derived from X-ray Computed TomographyMatlab scripts folder contains scripts and related files to generate figures 2a,b,c, 3, 4 of the paper
DOI: 10.5066/p13ajadu
title: Predicted Physical Habitat Metrics for the Chesapeake Bay watershed at the 1:100k scale, 2001-2019

description: Degraded physical habitat is a common stressor affecting river ecosystems and a primary focus of management activities, including stream restorations. In order to assess regional conditions and help prioritize management efforts, there is an ongoing need to provide estimates of different aspects of instream physical habitat conditions at spatially continuous scales.

We utilized over 16,000 unique habitat assessments from multiple jurisdictions across the Chesapeake Bay watershed and created a spatially continuous nontidal habitat assessment using predictive random-forest modeling based on landscape attributes. Through this work, we produced predictions for the twelve rapid habitat metrics contained within the EPA Rapid Habitat Protocols (Barbour and others 1999), with a climate-normalized signal at timesteps corresponding to 2001, 2006, 2011, 2016, and 2019 landscape conditions. We also produced two summary habitat metrics, based on principal component analysis, that captured the majority of variability across the Chesapeake Watershed, which was also produced for 2001, 2006, 2011, 2016, and 2019.

This data release contains tabular model inputs and outputs of the predictions for the twelve original rapid habitat metrics, plus two summary metrics, for all nontidal NHDPlus v2.1 1:100k catchments/stream reaches for the Chesapeake Watershed for 2001, 2006, 2011, 2016, and 2019.

Data are provided in both .csv format and Apache Parquet (.parquet), a free and open-source column-oriented data storage format that is well-suited for large datasets, which enables smaller file sizes, faster reading, faster queries and data manipulations, and the ability to be read in multiple languages (e.g., R, Python, Rust, C++, Java, and more).

This data release is the companion to the journal article Cashman and others (in review).
DOI: 10.15468/spbas6
title: NCC - Sonoma State University Herbarium
DOI: 10.24435/materialscloud:1n-wg
title: Dynamical response of noncollinear spin systems at constrained magnetic moments

description: Noncollinear magnets are notoriously difficult to describe within first-principles approaches based on density-functional theory (DFT) because of the presence of low-lying spin excitations. At the level of ground-state calculations, several methods exist to constrain the magnetic moments to a predetermined configuration, and thereby accelerate convergence towards self-consistency. Their use in a perturbative context, however, remains very limited. Here we present a general methodological framework to achieve parametric control over the local spin moments at the linear-response level. Our strategy builds on the concept of Legendre transform to switch between various flavors of magnetic functionals, and to relate their second derivatives via simple linear-algebra operations. Thereby, we can address an arbitrary response function at the time-dependent DFT level of theory with optimal accuracy and minimal computational effort. In the low frequency limit, we identify the leading correction to the existing adiabatic formulation of the problem [S. Ren , Phys. Rev. X 14, 011041 (2024)], consisting in a renormalization of the phonon and magnon masses due to electron inertia. As a demonstration, we apply our methodology to the THz optical response of bulk CrI3 and Cr2O3, where we identify contributions from hybrid (electro)magnons with mixed spin-lattice character. 

This dataset contains the input and output files used to produce the results presented in sections V and VI of the manuscript.
DOI: 10.24435/materialscloud:38-0h
title: Dynamical response of noncollinear spin systems at constrained magnetic moments

description: Noncollinear magnets are notoriously difficult to describe within first-principles approaches based on density-functional theory (DFT) because of the presence of low-lying spin excitations. At the level of ground-state calculations, several methods exist to constrain the magnetic moments to a predetermined configuration, and thereby accelerate convergence towards self-consistency. Their use in a perturbative context, however, remains very limited. Here we present a general methodological framework to achieve parametric control over the local spin moments at the linear-response level. Our strategy builds on the concept of Legendre transform to switch between various flavors of magnetic functionals, and to relate their second derivatives via simple linear-algebra operations. Thereby, we can address an arbitrary response function at the time-dependent DFT level of theory with optimal accuracy and minimal computational effort. In the low frequency limit, we identify the leading correction to the existing adiabatic formulation of the problem [S. Ren , Phys. Rev. X 14, 011041 (2024)], consisting in a renormalization of the phonon and magnon masses due to electron inertia. As a demonstration, we apply our methodology to the THz optical response of bulk CrI3 and Cr2O3, where we identify contributions from hybrid (electro)magnons with mixed spin-lattice character. 

This dataset contains the input and output files used to produce the results presented in sections V and VI of the manuscript.
DOI: 10.5281/zenodo.18471678
title: ONLAYN PSIXOLOGIK TRENINGLARNING AFZALLIK VA KAMCHILIKLARI

description: So‘nggi yillarda onlayn psixologik treninglar shaxsiy rivojlanish, stressni boshqarish va emotsional barqarorlikni oshirishda samarali vosita sifatida keng tarqalmoqda. Ushbu maqolada onlayn psixologik treninglarning afzalliklari va kamchiliklari tahlil qilinadi. Afzalliklar sifatida qulaylik, vaqt va geografik cheklovlarning yo‘qligi, maxfiylik, turli interaktiv metodlardan foydalanish imkoniyati ko‘rsatiladi. Shu bilan birga, kamchiliklar sifatida texnologik muammolar, shaxsiy aloqaning yetishmasligi, motivatsiya va o‘z-o‘zini boshqarishdagi qiyinchiliklar ham ko‘rib chiqiladi. Maqola ilmiy adabiyotlar, empirik tadqiqotlar va zamonaviy onlayn platformalarni tahlil qilgan holda treninglarning samaradorligi va foydaliligini baholaydi. Tadqiqot natijalari onlayn psixologik treninglarni samarali qo‘llash va ularni yaxshilash bo‘yicha tavsiyalar beradi.
DOI: 10.5281/zenodo.18464765
title: Auto Driving Test Trace Data
DOI: 10.5281/zenodo.18464764
title: Auto Driving Test Trace Data
DOI: 10.5281/zenodo.18471677
title: ONLAYN PSIXOLOGIK TRENINGLARNING AFZALLIK VA KAMCHILIKLARI

description: So‘nggi yillarda onlayn psixologik treninglar shaxsiy rivojlanish, stressni boshqarish va emotsional barqarorlikni oshirishda samarali vosita sifatida keng tarqalmoqda. Ushbu maqolada onlayn psixologik treninglarning afzalliklari va kamchiliklari tahlil qilinadi. Afzalliklar sifatida qulaylik, vaqt va geografik cheklovlarning yo‘qligi, maxfiylik, turli interaktiv metodlardan foydalanish imkoniyati ko‘rsatiladi. Shu bilan birga, kamchiliklar sifatida texnologik muammolar, shaxsiy aloqaning yetishmasligi, motivatsiya va o‘z-o‘zini boshqarishdagi qiyinchiliklar ham ko‘rib chiqiladi. Maqola ilmiy adabiyotlar, empirik tadqiqotlar va zamonaviy onlayn platformalarni tahlil qilgan holda treninglarning samaradorligi va foydaliligini baholaydi. Tadqiqot natijalari onlayn psixologik treninglarni samarali qo‘llash va ularni yaxshilash bo‘yicha tavsiyalar beradi.
DOI: 10.15468/dl.dsnem3
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Girgensohnia oppositiflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 109 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009818-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1473
title: Data for 'Porous polymeric nanofilms for recreating the basement membrane in an endothelial barrier-on-chip'

description: The dataset contains all relevant pictures, AFM scans, Young Modulus related data, z-stacks confocal images, fluorescence data related to permeability experiments and Trans Endothelial Electrical Resistance measurements for the associated paper entitled "Porous polymeric nanofilms for recreating the basement membrane in an endothelial barrier-on-chip". All graphs originated from images or AFM scans can be reproduced following the relevant method section in the associated publication. The dataset is aimed at allowing users to re-analyze the data and reproduce the observations made in the associated publication.
DOI: 10.5281/zenodo.18471652
title: Iraq Lake image dataset for semantic segmentation

description: This dataset contains satellite imagery of major lakes in Iraq, including Lake Razzaza, Lake Habbaniyah, Lake Tharthar, Lake Dukan, and Lake Darbandikhan. The dataset is designed for training and evaluating fully convolutional neural networks for semantic segmentation of surface water from Sentinel-2 imagery.

Sentinel-2 Level-2A (surface reflectance) data were accessed and processed using Google Earth Engine. For each lake area of interest and target year, seasonal median composites were generated to reduce the effects of shoreline blurring, cloud contamination, and seasonal water–land mixing. Four 10 m spatial resolution bands were exported as GeoTIFF images: B4 (Red), B3 (Green), B2 (Blue), and B8 (Near-Infrared). All bands were scaled to 8-bit values (0–255) for compatibility with convolutional neural network inputs.

Ground-truth water masks were generated using the JRC Global Surface Water YearlyHistory product. Pixels classified as seasonal water (class 2) and permanent water (class 3) were treated as the positive class. In some regions, masks were further refined using a Normalised Difference Water Index (NDWI) threshold to reduce false positives over land.

The resulting image–mask pairs were tiled into 512×512 pixel patches and organised into training, validation, and test subsets for supervised semantic segmentation. Binary masks are provided as PNG files, where water pixels are labelled as 1 (white) and background pixels as 0 (black).

Dataset structure:





Training set: 857 image-mask pairs




Validation set: 340 image-mask pairs




Test set: 63 image-mask pairs



All image tiles are provided as GeoTIFF files with a spatial resolution of 10 m per pixel.

Data sources:





Sentinel-2 Level-2A imagery (Copernicus/ESA)




JRC Global Surface Water Dataset



This dataset is intended for research and educational use in remote sensing, hydrology, and machine-learning-based water body mapping.
DOI: 10.5517/cc7wzz1
title: CCDC 235444: Experimental Crystal Structure Determination

description: Related Article: Y.Y.Bai, B.Yan, Z.X.Chen|2005|Koord.Khim.|31|472|
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.cc2kg6py
title: CCDC 2367150: Experimental Crystal Structure Determination

description: Related Article: YANG LI|2024|CSD Communication|||
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.cc2lcfxb
title: CCDC 2394282: Experimental Crystal Structure Determination

description: Related Article: Tian-Li Gao|2025|CSD Communication|||
description: Related Article: Tian-Li Gao,  Jun-Ru Wang,  Zhen Han,  Jia-Yin Wang,  Ying-Xue Yuan,  Shuang-Quan Zang|2025|Nat.Commun.|16|9640|doi:10.1038/s41467-025-64638-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.cc2nfkl8
title: CCDC 2455900: Experimental Crystal Structure Determination

description: Related Article: Kaito Segawa, Masaki Yoshida, Hiroto Kise, Junichi Takayama, Satoshi Hiura, Akihiro Murayama, Satoki Okabayashi, Motohiro Tsuboi, Takashi Tachikawa, Ken Onda, Masako Kato|2025|Angew.Chem.,Int.Ed.|64|e202513282|doi:10.1002/anie.202513282
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.cc2nfkm9
title: CCDC 2455901: Experimental Crystal Structure Determination

description: Related Article: Kaito Segawa, Masaki Yoshida, Hiroto Kise, Junichi Takayama, Satoshi Hiura, Akihiro Murayama, Satoki Okabayashi, Motohiro Tsuboi, Takashi Tachikawa, Ken Onda, Masako Kato|2025|Angew.Chem.,Int.Ed.|64|e202513282|doi:10.1002/anie.202513282
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.cc2nfknb
title: CCDC 2455902: Experimental Crystal Structure Determination

description: Related Article: Kaito Segawa, Masaki Yoshida, Hiroto Kise, Junichi Takayama, Satoshi Hiura, Akihiro Murayama, Satoki Okabayashi, Motohiro Tsuboi, Takashi Tachikawa, Ken Onda, Masako Kato|2025|Angew.Chem.,Int.Ed.|64|e202513282|doi:10.1002/anie.202513282
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.cc2nfkpc
title: CCDC 2455903: Experimental Crystal Structure Determination

description: Related Article: Kaito Segawa, Masaki Yoshida, Hiroto Kise, Junichi Takayama, Satoshi Hiura, Akihiro Murayama, Satoki Okabayashi, Motohiro Tsuboi, Takashi Tachikawa, Ken Onda, Masako Kato|2025|Angew.Chem.,Int.Ed.|64|e202513282|doi:10.1002/anie.202513282
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.cc2nfkqd
title: CCDC 2455904: Experimental Crystal Structure Determination

description: Related Article: Kaito Segawa, Masaki Yoshida, Hiroto Kise, Junichi Takayama, Satoshi Hiura, Akihiro Murayama, Satoki Okabayashi, Motohiro Tsuboi, Takashi Tachikawa, Ken Onda, Masako Kato|2025|Angew.Chem.,Int.Ed.|64|e202513282|doi:10.1002/anie.202513282
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.cc2nfkrf
title: CCDC 2455905: Experimental Crystal Structure Determination

description: Related Article: Kaito Segawa, Masaki Yoshida, Hiroto Kise, Junichi Takayama, Satoshi Hiura, Akihiro Murayama, Satoki Okabayashi, Motohiro Tsuboi, Takashi Tachikawa, Ken Onda, Masako Kato|2025|Angew.Chem.,Int.Ed.|64|e202513282|doi:10.1002/anie.202513282
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.cc2pnpcf
title: CCDC 2492535: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2025|CSD Communication|||
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: 10.25505/fiz.icsd.cc2m6n0j
title: CSD 2419457: Experimental Crystal Structure Determination

description: Related Article: Katja Engel, Thomas Schleid|2025|Z.Kristallogr.-New Cryst.Struct.|240|937|doi:10.1515/ncrs-2025-0353
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5066/p9jfvef5
title: Invertebrate remains from the Dominican University of California archaeological site MRN-CA-254, Marin County, California

description: This data release indicates faunal presence or absence of shelly artifacts (invertebrate remains) from the Dominican University of California archaeological site MRN-CA-254, Marin County, California.
DOI: 10.15468/dl.2ruuf9
title: Occurrence Download

description: A dataset containing 71305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-66.84256 10.48899,-66.84094 10.48835,-66.83956 10.4882,-66.83812 10.4878,-66.83724 10.48862,-66.83639 10.48985,-66.83557 10.49187,-66.83502 10.49337,-66.83505 10.49504,-66.83707 10.49584,-66.83946 10.49686,-66.84198 10.49713,-66.84326 10.49686,-66.84288 10.49308,-66.84334 10.4906,-66.84256 10.48899))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2022"
 ]
}

 The dataset includes 71305 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009769-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48567/xsc6-9962
title: D-10 Automatic Weather Station, 2025 unmodified ten-minute observational data.