cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e192041v1
title: Data and Code for: Do Peers Matter in the Police Academy?

description: Supplementary data for: Do Peers Matter in the Police Academy?
description: Chicago police officers active from 2010 to 2018.
DOI: 10.3886/e198763v1
title: Data and Replication files for The High and Falling Price of Cement in Africa

description: Prices for several intermediate inputs, including cement, are higher in developing economies---particularly in Africa. Combining recent data from the International Comparison Program with a global directory of cement firms we estimate an industry equilibrium model to distinguish between drivers of international price dispersion: demand, costs, conduct, and entry. Developing economies feature both higher marginal costs and higher markups. African markets are not characterized by less competitive conduct and, if anything, feature lower barriers to entry. The small size of many national markets, however, limits entry and competition and explains most of the higher markups and prices. Policy implications are discussed.
DOI: 10.5066/f7t43r88
title: Data from Black Brant (Branta bernicla nigricans) Overwintering in Three Lagoons Along the Baja California Peninsula, Mexico

description: This data package includes two child items with data from Pacific Black Brant (Branta bernicla nigricans) during winter and migration periods.

Child Item One: "Body mass, Morphological Measurements, Flock Counts, and Age-Ratios from Black Brant Overwintering in Three Lagoons Along the Baja California Peninsula, Mexico". The data include: (1) body mass and morphological measurements from sport hunter harvested brant, and (2) census counts of brant in Bahia de San Quintin, (3) counts for flock age ratio determination, and (4) behavior.

Child Item Two: "Black Brant (Branta bernicla nigricans) Radio Detection and Migration Timing Alaska to Mexico". Data from brant tagged with VHF radio transmitters in July 1999 on the Yukon Kuskokwim Delta, Alaska and detected in the following two years during their annual migration. Data include: 1) one table with attributes of the tagged brant, 2) one table with estimated dates of migration events, and 3) seven tables of detection data from radio tracking scans at coastal sites between Alaska and Mexico.
DOI: 10.5067/glossac-l3-v2.21
title: Global Space-based Stratospheric Aerosol Climatology Version 2.21
DOI: 10.5281/zenodo.14607385
title: The data for "Highly Heterogeneous Parent Body of the Rare Andesitic Erg Chech 002 Meteorite Revealed by the Revisited Mn-Cr Isotopic Systematics"

description: This spreadsheet presents the original data for the elemental compositions of minerals in two EC 002 fragments. Table S1 shows the representative major elemental compositions of pyroxene xenocryst (from core to rim), groundmass pyroxene, groundmass feldspar, groundmass ilmenite, and groundmass chromite in fragment EC-1. Table S2 shows the representative major elemental compositions of pyroxene xenocryst (from core to rim), groundmass pyroxene, and groundmass feldspar in fragment EC-2.

The chemical compositions of minerals in EC-1 were analyzed with a JEOL JXA-8230 electron microprobe using a defocused beam of 25 kV and 10 nA at the Institute of Geochemistry, Chinese Academy of Sciences; while the chemical compositions of minerals in EC-2 were analyzed with a JEOL JXA-8530F Plus electron microprobe using a defocused beam of 15 kV and 10 nA at the University of Science and Technology of China.
DOI: 10.5281/zenodo.14772622
title: Hedging Our Bet on Forest Permanence for the Economic Viability of Climate Targets – Model Output and Results

description: Hedging Our Bet on Forest Permanence for the Economic Viability of Climate Targets – Model Output and Results

Contact: michael.windisch@env.ethz.ch

Contents

This repository contains model output from the REMIND and/or MAgPIE models used in the assessment for the manuscript"Hedging Our Bet on Forest Permanence for the Economic Viability of Climate Targets".

The data is provided in Model Intercomparison Format (.mif) and includes the following attributes:



Model

Scenario

Region

Variable

Unit

Period

Value


.mif Files

The .mif (Model Intercomparison Format) is a structured text format. The files in this repository are semicolon-separated (CSV-like), with headers defining key attributes. They can be processed using any software that supports delimited text, including R and Python.

For IAM-specific analysis, tailored packages like quitte (https://github.com/pik-piam/quitte) in R provide convenient tools for handling .mif files.

Data Structure

The model output is organized into folders based on experimental setups, as follows:



Control Runs (control) – Simulations without forest carbon loss.

1.5°C and 2°C Experiments (1.5degC, 2degC) – Scenarios meeting climate targets despite forest carbon loss, with disturbance rates of:



0.2% (FCL-002)

0.4% (FCL-004)

0.8% (FCL-008)

1.6% (FCL-016)



Sensitivity Experiments (sensitivity), further divided into:



GCM – Varying Global Circulation Model (GCM) inputs

SSP – Varying Shared Socioeconomic Pathways (SSP) assumptions




File Naming Convention

Each file follows the naming pattern:

{ssp}-{climate goal}-FCL-{response type}-{response time}-{gcm}.mif



Control scenarios only include {ssp} and {climate goal} since they do not experience forest carbon loss or a response to it.

Sensitivity analyses include variations in {gcm}.
DOI: 10.5281/zenodo.14990256
title: Setting aside areas for conservation does not increase disturbances in temperate forests - Data and analysis scripts

description: This repository holds data and code for the paper: Krüger, K., Senf, C., Hagge, J., Seidl, R. (2025). Setting aside areas for conservation does not increase disturbances in temperate forests. Journal of Applied Ecology. (doi/10.1111/1365-2664.70036) 

NOTE: This is a static repository, but the project may evolve. See the linked GitHub repository for the latest updates!

All data needed to reproduce the results are available. All other layers can be generated with the code provided in this repository. The vector files delineating set-aside forest areas can only be partially made available due to data usage agreements with the respective regional authorities. For reproducibility, please request the respective layers from the regional authorities, while we provide links to those that are openly accessible.

Empty folders have been set up to follow the directory structure of the scripts.
DOI: 10.5285/13f3635174794bb98cf8ac4b0ee8f4ed
title: CRU JRA v1.1: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2017.

description: The CRU JRA V1.1 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different) . The data are available at a 6 hourly time-step from January 1901 to December 2017.

The dataset is constructed by combining data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS 3.26 data (see the Process section and the ReadMe file for full details).

The CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).

The CRU JRA dataset is intended to be a replacement of the CRUNCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRUNCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. 

If this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:

Harris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated
high-resolution grids of monthly climatic observations - the CRU TS3.10
Dataset. International Journal of Climatology 34, 623-642.

Kobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and
Basic Characteristics. J. Met. Soc. Jap., 93(1), 5-48
https://dx.doi.org/10.2151/jmsj.2015-001
DOI: 10.5285/284a411e-2639-93de-e063-7086abc0e9d8
title: Temperature, salinity, alkaline phosphatase activity, phytoplankton abundance, chlorophyll a, inorganic nutrients, dissolved organic phosphorus, and dissolved zinc concentrations from towed fish surface samples in the subtropical North Atlantic during summer 2017 on cruise GApr08/JC150.

description: This dataset includes chlorophyll a, dissolved organic phosphorus (DOP), alkaline phosphatase activity (APA), and phytoplankton abundance data obtained from unfiltered seawater samples, inorganic nutrients (phosphate, nitrate, nitrite, ammonium), and dissolved zinc concentrations from seawater samples filtered through 0.45/0.2 µm acetate membrane cartridge filters (Sartobran-300, Sartorius), and concurrent temperature and salinity values. The 130 water samples were collected from a depth of 3 m using acid-washed PVC tubing attached to a towed FISH sampler on board the RRS James Cook during cruise JC150 (GEOTRACES cruise GApr08), between the 27 June and 8 August 2017. The temperature and salinity measurements were made by the ship's underway sensor package. The cruise took place in the subtropical North Atlantic. Chlorophyll a was measured using a Turner 10AU field fluorometer. DOP was quantified as the difference in Dissolved Inorganic Phosphorus (DIP) concentrations before and after persulfate oxidation measured by a Bran and Luebbe QuAAtro 5-channel autoanalyser. APA samples were spiked with synthetic fluorogenic substrate MUFP (4-methylumbeliferyll-phosphate), incubated for up to 12 hours, and measured using a Turner 10AU field fluorometer. Phytoplankton cell abundance (Synechococcus, Prochlorococus, Picoeukaryotes and low and high DNA content bacteria) were determined using flow cytometry. Inorganic nutrients were measured at the nanomolar level using flow colorimetric techniques with 2 metre liquid waveguides. Dissolved zinc was obtained via acidification and the use of flow-injection analysis with fluorimetric detection. Data were collected to determine the importance of zinc on the phytoplankton community growth, as part of the Natural Environment Research Council (NERC) Discovery Science grant - Zinc, Iron and Phosphorus Co-Limitation in the Ocean (ZIPLOc), grant references NE/N001079/1 and NE/N001125/1.
DOI: 10.6073/pasta/0292c5bdb53f80dffee596295cb080ca
title: Biomass Inventories at Harvard Forest EMS Tower since 1993

description: In 1993, we installed 40 circular, 10 m radius biometric plots in the footprint of the EMS tower on Prospect Hill. We randomly placed the plots within 100 m increments along ten 500 m transects that extend from the tower in the northwest and southwest directions. In 2001, we removed three plots (G3, H3, H4) from the datasets and ceased measurements there due to their inundation by a beaver pond. In 1999, we installed 6 additional circular, 10 m radius biometric plots on the Simes Lot, adjacent to Prospect Hill to study the effects of a selective harvest that occurred there in the winter of 2000-01. In the summer of 2001, we expanded the harvested plots in size to 15 m radius and ceased measurements at one plot (X4) because it was unaffected by the harvest. The harvest also affected three of the original tower plots (A4, A5, B5), which were expanded in size as a part of the harvest plot group. Consequently, there are 34 tower plots and 8 harvest plots. We have taken the following ecological measurements at each site: tree growth, woody debris, litter, leaf area increment (LAI), leaf chemistry, and soil respiration and moisture.
DOI: 10.6073/pasta/6b6cc0ad7897d9008e8cf918bbf552d2
title: Insect Population Dynamics on the Main Cropping System Experiment at the Kellogg Biological Station, Hickory Corners, MI (1989 to 2017)

description: Dataset Abstract Plant dwelling insect occurrence in the LTER main site (all treatments) of the KBS-LTER has been recorded since 1989 and in the successional and forest sites since 1993. The effort has focused on characterizing the temporal and spatial abundance and diversity of a set of insects representative of a higher order insect trophic level, the herbivore predators. The insect database contains more than 400,000 records and consists of counts of adult insects of fourteen species of Coccinellidae, one species of Chrysopidae, and one species of Lampyridae from 30 sample sites in each of the seven treatments in the LTER Main Site. The standard method used to measure these organisms is a yellow sticky trap. Sampling is conducted weekly during the growing season as described in the sampling protocol. original data source http://lter.kbs.msu.edu/datasets/26
DOI: 10.6073/pasta/7060b2c244229a37e3bfc8c18f14ad02
title: CGR02 Sweep Sampling of Grasshoppers on Konza Prairie LTER watersheds (1982-present)

description: Sweep samples were taken for grasshoppers (Acrididae) at two sites for each of 14 Konza Prairie LTER watersheds. Samples are taken in late July to early August. At each site on each occasion, 10 sets of 20 sweeps (200 sweeps total) are taken. Stored data include for each site on each occasion: total number of each species (all instars combined) collected and total number for each instar for each species (200 sweeps combined).
DOI: 10.6092/238b5903-a173-4fc3-ac5f-5fedf1064a39
title: E2M3A-2015-2017-time-series-SouthAdriatic

description: Hourly time series of temperature, salinity, and currents in the central part of the Southern Adriatic Sea (Eastern Mediterranean).
DOI: 10.13127/macroseismic/teral024
title: Macroseismic intensity data related to 45 Italian earthquakes from 1985 to 2006
title: TERAL024

description: The dataset presented here includes the macroseismic intensity data (MDPs) of the 45 Italian earthquakes with Mw ranging from 2.5 to 5.8, dated from 1985 to 2006, and located over the whole Italian territory, 26 of which occurred in the Etna volcanic region. The selected earthquakes were several different datasets provided by various kinds of studies (reports of direct field surveys, data collections through questionnaires, and preliminary or final reviews). These data are the result of the integration of these different datasets in one intensity compilation including 9330 MDPs, both in EMS-98 and MCS scales.
DOI: 10.15121/1776602
title: Utah FORGE: Well 16A(78)-32 Drilling Data

description: This dataset includes survey data, drilling data, daily reports, summaries of daily operations, and rig photos from the drilling of Utah FORGE well 16A(78)-32, which is a highly deviated deep well. It was completed 60 days ahead of schedule. Rig move in began 10/22/2020 and drilling commenced on 10/30/2020, and total depth was reached on 12/18/2020. Drilling was followed by a diagnostic fracture injection test (DFIT), logging, and circulating casing. The rig was released on 1/12/2021. The upper part of the well was drilled vertically through approximately 4,700 feet of sediments before penetrating into high strength, crystalline granite. The well was deviated at a 65 degree angle from vertical after reaching a depth of 6,000 ft. This angle was maintained for the remainder of the well's trajectory. The well ultimately reached a true vertical depth of 8,559 feet, and a total measured depth of 10,987 feet. Preliminary measurements indicate temperatures at the "toe" of the well will exceed 442 degrees F (228 degrees C). Approximately 74 ft of core of the granitic and metamorphic rocks that will form the FORGE reservoir was also recovered.
DOI: 10.15468/dl.e5hpca
title: Occurrence Download

description: A dataset containing 26294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae"
 ]
}

 The dataset includes 26294 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006087-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15781/6mcy-8m69
title: The BioMolViz Library: An Assessment Repository to Evaluate Biomolecular Visual Literacy Through the BioMolViz Framework
DOI: 10.1594/pangaea.733664
title: Physical oceanography during POLARSTERN cruise ANT-XXII/3
DOI: 10.1594/pangaea.735277
title: Physical oceanography during POLARSTERN cruise ANT-IX/2 on section SR04

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.742580
title: Physical oceanography during POLARSTERN cruise ANT-VIII/2 (WWGS) on section SR02 and SR04

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.742651
title: Physical oceanography during POLARSTERN cruise ANT-X/7 on section SR04

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.817255
title: Physical oceanography during POLARSTERN cruise ANT-XXIX/2
DOI: 10.1594/pangaea.881076
title: Physical oceanography during POLARSTERN cruise PS103 (ANT-XXXII/2)
DOI: 10.1594/pangaea.898718
title: Physical oceanography and current meter data from mooring AWI257-1

description: Gear ID 1: RCM7/8/11, SN9768; Gear ID 2: RCM7/8/11, SN9390; Gear ID 3: RCM7/8/11, SN9782; Gear ID 4: SBE37, SN2234; Gear ID 5: SBE37, SN10948; Gear ID 6: SBE37, SN10928; Gear ID 7: SBE39/56, SN7862; Gear ID 8: SBE39/56, SN7861; Gear ID 9: SBE39/56, SN7860
DOI: 10.1594/pangaea.898762
title: Physical oceanography and current meter data from mooring AWI258-1

description: Gear ID 1: RCM7/8/11, SN9187; Gear ID 2: RCM7/8/11, SN9770; Gear ID 3: RCM7/8/11, SN9998; Gear ID 4: SBE37, SN9491; Gear ID 5: SBE37, SN10939; Gear ID 6: SBE39/56, SN7865; Gear ID 7: SBE39/56, SN7864; Gear ID 8: SBE39/56, SN7863
DOI: 10.1594/pangaea.898777
title: Physical oceanography and current meter data from mooring AWI207-10

description: Gear ID 1: RCM7/8/11, SN619; Gear ID 2: RCM7/8/11, SN10503; Gear ID 3: RCM7/8/11, SN8037; Gear ID 4: RCM7/8/11, SN11613; Gear ID 5: RCM7/8/11, SN569; Gear ID 6: SBE37, SN10947; Gear ID 7: SBE37, SN2395; Gear ID 8: SBE37, SN10941; Gear ID 9: SBE37, SN10930; Gear ID 10: SBE39/56, SN7877; Gear ID 11: SBE39/56, SN7876; Gear ID 12: SBE39/56, SN7872
DOI: 10.1594/pangaea.898791
title: Physical oceanography and current meter data from mooring AWI259-1

description: Gear ID 1: RCM7/8/11, SN506; Gear ID 2: RCM7/8/11, SN568; Gear ID 3: RCM7/8/11, SN500; Gear ID 4: SBE37, SN2090; Gear ID 5: SBE37, SN10929; Gear ID 6: SBE37, SN2093; Gear ID 7: SBE39/56, SN7868; Gear ID 8: SBE39/56, SN7867; Gear ID 9: SBE39/56, SN7866
DOI: 10.1594/pangaea.898792
title: Physical oceanography and current meter data from mooring AWI260-1

description: Gear ID 1: RCM7/8/11, SN462; Gear ID 2: RCM7/8/11, SN486; Gear ID 3: RCM7/8/11, SN504; Gear ID 4: SBE37, SN9832; Gear ID 5: SBE37, SN2092; Gear ID 6: SBE37, SN2101; Gear ID 7: SBE39/56, SN7871; Gear ID 8: SBE39/56, SN7870; Gear ID 9: SBE39/56, SN7869
DOI: 10.1594/pangaea.898793
title: Physical oceanography and current meter data from mooring AWI261-1

description: Gear ID 1: RCM7/8/11, SN9783; Gear ID 2: RCM7/8/11, SN9786; Gear ID 3: RCM7/8/11, SN9997; Gear ID 4: SBE37, SN1234; Gear ID 5: SBE37, SN9490; Gear ID 6: SBE37, SN10938; Gear ID 7: SBE39/56, SN6988; Gear ID 8: SBE39/56, SN6986
DOI: 10.1594/pangaea.898794
title: Physical oceanography and current meter data from mooring AWI262-1

description: Gear ID 1: RCM7/8/11, SN8048; Gear ID 2: RCM7/8/11, SN8402; Gear ID 3: RCM7/8/11, SN8403; Gear ID 4: SBE37, SN10933; Gear ID 5: SBE37, SN10935; Gear ID 6: SBE37, SN10936; Gear ID 7: SBE39/56, SN6991; Gear ID 8: SBE39/56, SN6990; Gear ID 9: SBE39/56, SN6989
DOI: 10.1594/pangaea.940209
title: Physical oceanography during POLARSTERN cruise PS117 measured with Ultra-Clean-CTD

description: Two CTD/water sampler systems were deployed during RV POLARSTERN cruise PS117. Both CTDs are SBE911plus from the manufacturer Seabird Scientific. The data from the AWI CTD have already been processed and are stored in Pangaea under https://doi.pangaea.de/10.1594/PANGAEA.910663 and can be downloaded there. The NIOZ-Ultra Clean CTD incl. water sampler could not be used with direct data transmission, so it was operated together with a SBE17 for control and storage of the data. At the beginning of the cruise there were problems with the setup of the SBE17 unit so that profiles were not recorded completely. After several attempts, the problem was identified in the SBE17. A replacement of this unit was shipped to Neumayer Station and brought on board POLARSTERN. After the replacement of the SBE17 the system worked reliable. However, this also meant that the failure of a conductivity sensor was only detected and replaced at a late stage. For this reason, usable CTD profiles are only available from station 36 onwards. In order to obtain a data set comparable to the AWI-CTD, profiles made with AWI-CTD and NIOZ-CTD at the same stations were used. The difference between the processed AWI-CTD and the unprocessed NIOZ-CTD is used to correct the NIOZ-CTD.