cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31375777.v1
title: Dataset used in the paper : Interpretable deep learning for characterizing sinkhole to supply well transfer dynamics in karst aquifers

description: The dataset consists of an aggregated set of time series. The first column contains the dates, and the second column corresponds to the turbidity measured at the supply well.The columns <i>Maximum rainfall intensity (mm/h)</i>, <i>Rainfall depth over</i><i> the two previous days (mm)</i>, <i>Effective duration (min)</i>, and <i>Rainfall depth (mm)</i> represent the hydroclimatic variables used as inputs in both the WaterSed model and the deep learning models.Columns with the prefix <b>SED_</b> correspond to sediment fluxes, while those with the prefix <b>RUISS_</b> correspond to runoff values. The number following each prefix identifies the associated sinkhole. Consequently, for each sinkhole, the dataset includes one sediment flux variable and one runoff variable.
DOI: 10.25549/uschist-c104-228182
title: Southern California alumni review, vol. 21, no. 4 (1939 Dec.)

description: Southern California alumni review, vol. 21, no. 4 (1939 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228183
title: Southern California alumni review, vol. 21, no. 4 (1939 Dec.)

description: Southern California alumni review, vol. 21, no. 4 (1939 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228186
title: Southern California alumni review, vol. 21, no. 4 (1939 Dec.)

description: Southern California alumni review, vol. 21, no. 4 (1939 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228187
title: Southern California alumni review, vol. 21, no. 4 (1939 Dec.)

description: Southern California alumni review, vol. 21, no. 4 (1939 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228724
title: Southern California alumni review, vol. 22, no. 10 (1941 June)

description: Southern California alumni review, vol. 22, no. 10 (1941 June). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228733
title: Southern California alumni review, vol. 22, no. 10 (1941 June)

description: Southern California alumni review, vol. 22, no. 10 (1941 June). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228734
title: Southern California alumni review, vol. 22, no. 10 (1941 June)

description: Southern California alumni review, vol. 22, no. 10 (1941 June). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228735
title: Southern California alumni review, vol. 22, no. 10 (1941 June)

description: Southern California alumni review, vol. 22, no. 10 (1941 June). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228739
title: Southern California alumni review, vol. 22, no. 10 (1941 June)

description: Southern California alumni review, vol. 22, no. 10 (1941 June). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228562
title: Southern California alumni review, vol. 22, no. 4 (1940 Dec.)

description: Southern California alumni review, vol. 22, no. 4 (1940 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-229347
title: Southern California alumni review, vol. 22, no. 5 (1941 Jan.)

description: Southern California alumni review, vol. 22, no. 5 (1941 January). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.15468/dl.tk7adu
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marilia cabocla",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031468-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-229348
title: Southern California alumni review, vol. 22, no. 5 (1941 Jan.)

description: Southern California alumni review, vol. 22, no. 5 (1941 January). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-229349
title: Southern California alumni review, vol. 22, no. 5 (1941 Jan.)

description: Southern California alumni review, vol. 22, no. 5 (1941 January). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-229352
title: Southern California alumni review, vol. 22, no. 5 (1941 Jan.)

description: Southern California alumni review, vol. 22, no. 5 (1941 January). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228085
title: Southern California alumni review, vol. 21, no. 2 (1939 Oct.)

description: Southern California alumni review, vol. 21, no. 2 (1939 October). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.6084/m9.figshare.22493122
title: Human activities and species biological traits drive the long-term persistence of old trees in human-dominated landscapes

description:   
This is the dataset of the paper "Human activities and species biological traits drive the long-term persistence of old trees in human-dominated landscapes", published in <em>Nature Plants</em>.
DOI: 10.6084/m9.figshare.22493122.v1
title: Human activities and species biological traits drive the long-term persistence of old trees in human-dominated landscapes

description:   
This is the dataset of the paper "Human activities and species biological traits drive the long-term persistence of old trees in human-dominated landscapes", published in <em>Nature Plants</em>.
DOI: 10.25549/uschist-c104-228091
title: Southern California alumni review, vol. 21, no. 2 (1939 Oct.)

description: Southern California alumni review, vol. 21, no. 2 (1939 October). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228092
title: Southern California alumni review, vol. 21, no. 2 (1939 Oct.)

description: Southern California alumni review, vol. 21, no. 2 (1939 October). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228096
title: Southern California alumni review, vol. 21, no. 2 (1939 Oct.)

description: Southern California alumni review, vol. 21, no. 2 (1939 October). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228097
title: Southern California alumni review, vol. 21, no. 2 (1939 Oct.)

description: Southern California alumni review, vol. 21, no. 2 (1939 October). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.5281/zenodo.10845590
title: OPEN DATASET - Canopy height models of SFB ALS acquisitions in Amazonian forest concessions (2017–2025) - Amapá, Bom Futuro and Crepori National Forests

description: OPEN DATASET - Canopy height models of Brazilian Forest Service (SFB) airborne laser scanning (ALS) acquisitions in Amazonian forest concessions (2017–2025) - Amapá, Bom Futuro and Crepori National Forests

The Brazilian Forest Service (SFB) has acquired high-precision Light Detection and Ranging (LiDAR) data within forest management units of federal concessions in the Brazilian Amazon. Airborne laser scanning (ALS) is used by SFB to produce reliable, high-detail information on topography and forest canopy structure. These ALS surveys in forest concessions support: (1) improved forest inventories; (2) topographic mapping for planning, including slope, water bodies, and flood-prone areas; and (3) assessment of management impacts on biodiversity, such as effects from roads, skid trails, canopy openings from tree removal, and log decks.

This dataset provides standardised canopy height and elevation products for point cloud data acquired by SFB between 2017 and 2025. We organized and processed all raw ALS data from SFB into Canopy Height Models (CHMs), acquired across Altamira, Amapá, Bom Futuro, Caxiuanã, Crepori, Jacundá, Jamari, and Saracá-Taquera forests. The ALS datasets were processed using the Processing pipeline for Airborne Laser Scanning (ALS) v1.0.4 by Fischer et al. 2025 (https://doi.org/10.1101/2025.08.31.673375). 

The raw data used includes .las point clouds and additional acquisition information such as reports, trajectory files and metadata. The raw data are owned by CGMAF-SFB and are publicly available through an online repository (SFB open data policy). A table summarizing the raw datasets is available.

This dataset will be included in future versions of the Global Canopy Atlas!

Special thanks to Fabian J. Fischer and to José Humberto Chaves for his availability and kindness to support the processing. We are also very grateful to Silke Kämmerer (CEO | LAStools LiDAR Processing – rapidlasso GmbH) for providing the necessary LAStools license.
DOI: 10.5281/zenodo.18709671
title: Mushroom Extract Umami Market to Reach USD 1.5 Billion by 2032

description: The global Mushroom Extract Umami market is witnessing substantial growth, driven by the rising demand for natural, clean-label ingredients in the food & beverage industry. Part of the Food & Beverage parent category and under the Additives & Supplements child category, mushroom extract umami is gaining popularity as a versatile and sustainable natural flavor enhancer. Known for its savory, umami-rich taste, mushroom extract is widely used in a range of applications, from seasonings to plant-based foods. 

According to Market Intelo’s latest research, the mushroom extract umami market was valued at USD 700 million in 2023 and is projected to reach USD 1.5 billion by 2032, growing at a CAGR of 8.3% during the forecast period. This growth is driven by the growing demand for clean-label, plant-based, and natural alternatives to synthetic flavoring agents in various culinary applications.
DOI: 10.5281/zenodo.18709672
title: Mushroom Extract Umami Market to Reach USD 1.5 Billion by 2032

description: The global Mushroom Extract Umami market is witnessing substantial growth, driven by the rising demand for natural, clean-label ingredients in the food & beverage industry. Part of the Food & Beverage parent category and under the Additives & Supplements child category, mushroom extract umami is gaining popularity as a versatile and sustainable natural flavor enhancer. Known for its savory, umami-rich taste, mushroom extract is widely used in a range of applications, from seasonings to plant-based foods. 

According to Market Intelo’s latest research, the mushroom extract umami market was valued at USD 700 million in 2023 and is projected to reach USD 1.5 billion by 2032, growing at a CAGR of 8.3% during the forecast period. This growth is driven by the growing demand for clean-label, plant-based, and natural alternatives to synthetic flavoring agents in various culinary applications.
DOI: 10.5281/zenodo.10845589
title: OPEN DATASET - Canopy height models of SFB ALS acquisitions in Amazonian forest concessions (2017–2025) - Amapá, Bom Futuro and Crepori National Forests

description: OPEN DATASET - Canopy height models of Brazilian Forest Service (SFB) airborne laser scanning (ALS) acquisitions in Amazonian forest concessions (2017–2025) - Amapá, Bom Futuro and Crepori National Forests

The Brazilian Forest Service (SFB) has acquired high-precision Light Detection and Ranging (LiDAR) data within forest management units of federal concessions in the Brazilian Amazon. Airborne laser scanning (ALS) is used by SFB to produce reliable, high-detail information on topography and forest canopy structure. These ALS surveys in forest concessions support: (1) improved forest inventories; (2) topographic mapping for planning, including slope, water bodies, and flood-prone areas; and (3) assessment of management impacts on biodiversity, such as effects from roads, skid trails, canopy openings from tree removal, and log decks.

This dataset provides standardised canopy height and elevation products for point cloud data acquired by SFB between 2017 and 2025. We organized and processed all raw ALS data from SFB into Canopy Height Models (CHMs), acquired across Altamira, Amapá, Bom Futuro, Caxiuanã, Crepori, Jacundá, Jamari, and Saracá-Taquera forests. The ALS datasets were processed using the Processing pipeline for Airborne Laser Scanning (ALS) v1.0.4 by Fischer et al. 2025 (https://doi.org/10.1101/2025.08.31.673375). 

The raw data used includes .las point clouds and additional acquisition information such as reports, trajectory files and metadata. The raw data are owned by CGMAF-SFB and are publicly available through an online repository (SFB open data policy). A table summarizing the raw datasets is available.

This dataset will be included in future versions of the Global Canopy Atlas!

Special thanks to Fabian J. Fischer and to José Humberto Chaves for his availability and kindness to support the processing. We are also very grateful to Silke Kämmerer (CEO | LAStools LiDAR Processing – rapidlasso GmbH) for providing the necessary LAStools license.
DOI: 10.25549/uschist-c104-228510
title: Southern California alumni review, vol. 22, no. 3 (1940 Nov.)

description: Southern California alumni review, vol. 22, no. 3 (1940 November). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228511
title: Southern California alumni review, vol. 22, no. 3 (1940 Nov.)

description: Southern California alumni review, vol. 22, no. 3 (1940 November). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.6092/unibo/amsacta/8026
title: Benzo[d]imidazo[2,1-b]thiazoles effective in gastro intestinal stromal tumors: characterization through NMR spectra and pharmacological effect

description: This data set contains NMR data related to the structural characterization of benzo[d]imidazo[2,1-b]thiazoles derivatives (BITs). NMR spectra were recorded on a Varian MR 400 MHz (ATB PFG probe) and on a Bruker ADVANCE NEO 600 MHz, equipped with liquid nitrogen chilled Bruker Prodigy (1H/19F)-X broadband probe. Depending on compounds solubility, solvents used were either CDCl3 or DMSO-d6 in order to acquire both mono and bidimensional experiments. Monodimensional experiments were proton 1H and 13C and NOE, while for the bidimensional experiments, HSQC and HMBC were made. The 1H and 13C spectra were made for the basic characterization of the compound, while NOE experiments were made to deal with the isomerization effect of the molecules that could be either present in one isoform or the other. For some fluorinated compounds (see data files Compound_5_1H_13C_HSQC_HMBC and Compound_15_1H_13C_HSQC_HMBC) the bidimensional NMR experiments were also used to calculate J values for the coupling of the carbon with fluorine.
This data set also includes biological results related to the characterization of Compound 3 on four GIST cell lines (GIST-T1, GIST-882, GIST-48 and GIST-48B), and the evaluation of toxicity on human PBMCs, which represent non tumor cells. Compound 3, imatinib and doxorubicin (the other drugs used as references) were dissolved in DMSO to obtain the desired concentrations and added to the growth medium. Data reported in the files named “Compound 3_Cell_Cycle_Analysis” and “Compound_3_Toxicity_on_PBMCs” were obtained through the Muse® cell analyzer instrument after sample preparation using the appropriate kit. Data reported in the file named “Compound_3_Apoptosis” were obtained using the Flow cytometer Guava easyCyte®. Data reported in the files named “Compound 3_Effect on 2D cell lines_CTG” and “Compound_3_Caspase_3_7_Activation” were acquired through the GloMax® Discover microplate luminometer, while the data reported in the files “Compound_3_Effect_on_2D_cell_lines_MTT” and “Compound 3_Effect_on_3D_models” were obtained by a Tecan spectrophotometer, using respectively wavelengths of 570 nm (reference 690 nm) for the 2D models and 570 nm (reference 600 nm) for the 3D models.
DOI: 10.25549/uschist-c104-228519
title: Southern California alumni review, vol. 22, no. 3 (1940 Nov.)

description: Southern California alumni review, vol. 22, no. 3 (1940 November). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.15468/dl.w4we2u
title: Occurrence Download

description: A dataset containing 15014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mikania micrantha)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15014 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031469-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-228524
title: Southern California alumni review, vol. 22, no. 3 (1940 Nov.)

description: Southern California alumni review, vol. 22, no. 3 (1940 November). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228532
title: Southern California alumni review, vol. 22, no. 4 (1940 Dec.)

description: Southern California alumni review, vol. 22, no. 4 (1940 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228099
title: Southern California alumni review, vol. 21, no. 2 (1939 Oct.)

description: Southern California alumni review, vol. 21, no. 2 (1939 October). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228102
title: Southern California alumni review, vol. 21, no. 2 (1939 Oct.)

description: Southern California alumni review, vol. 21, no. 2 (1939 October). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.2909/e4217e1b-9de8-4173-b28a-0c5608de9be9
title: Burden of disease of air pollution (Countries, NUTS regions and cities), tabular data (2005 - on-going)

description: This dataset presents the burden of disease from air pollution due to exposure to three main pollutants (PM2.5, NO2 and O3) at country, different NUTS and city levels.
The calculations are made from year 2005 and are updated every year (YY) adding the results for year YY-2. The concentrations data are taken from the ETC/HE interpolated maps (EEA geospatial data catalogue: https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82700fbd-2953-467b-be0a-78a520c3a7ef). 

The methodology is as described in several ETC and EEA Reports, available at "ETC HE Reports on the environmental burden of disease attributable to air pollution in Europe - Eionet Portal" (https://www.eionet.europa.eu/etcs/etc-he/products/etc-he-reports-on-the-environmental-burden-of-disease-attributable-to-air-pollution-in-europe)
DOI: 10.25549/uschist-c104-228120
title: Southern California alumni review, vol. 21, no. 3 (1939 Nov.)

description: Southern California alumni review, vol. 21, no. 3 (1939 November). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228132
title: Southern California alumni review, vol. 21, no. 3 (1939 Nov.)

description: Southern California alumni review, vol. 21, no. 3 (1939 November). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.25549/uschist-c104-228135
title: Southern California alumni review, vol. 21, no. 3 (1939 Nov.)

description: Southern California alumni review, vol. 21, no. 3 (1939 November). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.6084/m9.figshare.31330588
title: Original Statistical Data

description: Original statistical data and their PB, R² for the 11 test areas.
DOI: 10.6084/m9.figshare.31330588.v1
title: Original Statistical Data

description: Original statistical data and their PB, R² for the 11 test areas.
DOI: 10.25549/uschist-c104-228540
title: Southern California alumni review, vol. 22, no. 4 (1940 Dec.)

description: Southern California alumni review, vol. 22, no. 4 (1940 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228552
title: Southern California alumni review, vol. 22, no. 4 (1940 Dec.)

description: Southern California alumni review, vol. 22, no. 4 (1940 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228553
title: Southern California alumni review, vol. 22, no. 4 (1940 Dec.)

description: Southern California alumni review, vol. 22, no. 4 (1940 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-228556
title: Southern California alumni review, vol. 22, no. 4 (1940 Dec.)

description: Southern California alumni review, vol. 22, no. 4 (1940 December). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-229338
title: Southern California alumni review, vol. 22, no. 5 (1941 Jan.)

description: Southern California alumni review, vol. 22, no. 5 (1941 January). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-229341
title: Southern California alumni review, vol. 22, no. 5 (1941 Jan.)

description: Southern California alumni review, vol. 22, no. 5 (1941 January). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-229355
title: Southern California alumni review, vol. 22, no. 5 (1941 Jan.)

description: Southern California alumni review, vol. 22, no. 5 (1941 January). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-229357
title: Southern California alumni review, vol. 22, no. 5 (1941 Jan.)

description: Southern California alumni review, vol. 22, no. 5 (1941 January). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.
DOI: 10.25549/uschist-c104-229366
title: Southern California alumni review, vol. 22, no. 5 (1941 Jan.)

description: Southern California alumni review, vol. 22, no. 5 (1941 January). Published twenty times a year, weekly from September to December 15, and monthly from January to June inclusive.